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Author SHA1 Message Date
Alexander Smorkalov b4c5ec4042 Typing fix in tests for modern Numpy 2026-01-06 12:12:36 +03:00
Alexander Smorkalov fe38fc608f release: OpenCV 4.13.0 2025-12-30 10:52:05 +03:00
Alexander Smorkalov a6c10358a4 Merge pull request #28331 from asmorkalov:as/python_standalone_layout
Define installation layout for Python standalone builds
2025-12-29 15:07:37 +03:00
Alexander Smorkalov f9c2961411 Define installation layout for Python standalone builds. 2025-12-29 15:01:07 +03:00
Alexander Smorkalov d43ff988ca Merge pull request #28330 from asmorkalov:as/python_standalone_dlpack
Fixed DLPack detection in Python standalone builds
2025-12-29 14:37:00 +03:00
Alexander Smorkalov 2addae071e Fixed DLPack detection in Python standalone builds 2025-12-29 13:45:19 +03:00
Alexander Smorkalov 83804b8fc7 Merge pull request #28326 from lebarsfa:4.x
"/arch:AVX" should be only for Visual Studio
2025-12-29 13:13:01 +03:00
lebarsfa 207ac36ca2 opencv/3rdparty/libwebp/CMakeLists.txt: "/arch:AVX" should be only for Visual Studio, "-mavx" for MinGW and possibly other compilers 2025-12-28 00:09:17 +01:00
Alexander Smorkalov 40ab411032 Merge pull request #28285 from akretz:fix_issue_28241
Fixed stack-use-after-scope errors in charuco detector
2025-12-27 18:17:58 +03:00
Alexander Smorkalov b2042a61d2 Merge pull request #28320 from Kumataro:fix28319
docs(core): update Universal Intrinsics for VLA (RVV/SVE) and v4.11+ API changes
2025-12-27 18:16:00 +03:00
Kumataro 364f21fd24 docs(core): update Universal Intrinsics for VLA (RVV/SVE) and OpenCV 4.11+ API changes 2025-12-27 10:54:06 +09:00
Alexander Smorkalov a49eb47057 Merge pull request #28306 from asmorkalov:as/ffmpeg_4.x_20251225
FFmpeg binaries update for Windows.
2025-12-27 00:41:19 +03:00
Alexander Smorkalov b618676a53 Merge pull request #28311 from asmorkalov:as/ipp_compare_perf_regression
Disable IPP with AVX512 in cv::compare because of performance regression
2025-12-26 22:55:08 +03:00
Alexander Smorkalov 9b4043ea67 Merge pull request #28312 from 0AnshuAditya0:fix/issue-28291-qt-quit-lifecycle
Fix Qt HighGUI lifecycle issue when external QApplication exists
2025-12-26 18:29:18 +03:00
0AnshuAditya0 5d5b5c14a9 Fix Qt HighGUI lifecycle issue when external QApplication exists
Respect QApplication::quitOnLastWindowClosed() before calling qApp->quit().
This prevents OpenCV from unintentionally terminating externally managed
Qt applications when the last HighGUI window is closed.

Fixes #28291
2025-12-26 13:36:17 +05:30
Alexander Smorkalov 497e9037b4 FFmpeg binaries update for Windows. 2025-12-26 10:52:37 +03:00
Alexander Smorkalov 2b1cf03a9d Disable IPP with AVX512 in cv::compare because of performance regression. 2025-12-26 09:19:28 +03:00
Alexander Smorkalov cff7581175 Merge pull request #28304 from raimbekovm:fix-typos-batch5
docs: fix spelling errors
2025-12-25 17:55:20 +03:00
Alexander Smorkalov 459a609271 Merge pull request #28283 from asmorkalov:as/ffmpeg_picture_leak
Fixed picture_sw object leak in ffmpeg backend with hardware codecs. #28283

Replacement for https://github.com/opencv/opencv/pull/28221

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-25 15:43:38 +03:00
raimbekovm a41857f3c2 docs: fix spelling errors
- 'tirangle' -> 'triangle'
- 'cirlce' -> 'circle'
- 'gradiantSize' -> 'gradientSize'
- 'unnotied' -> 'unnoticed'
- 'consistensy' -> 'consistency'
- 'implemention' -> 'implementation'
- 'suppported/Unsuppported/suppport' -> 'supported/Unsupported/support'
2025-12-25 15:45:08 +06:00
Alexander Smorkalov c1c893ff73 Merge pull request #28299 from AsyaPronina:rename_workload_type_notify
[G-API] Renamed `WorkloadType::notify()` -> `WorkloadType::set()`
2025-12-25 11:59:05 +03:00
Alexander Smorkalov b63565401b Merge pull request #28300 from raimbekovm:fix-array-typo
docs: fix spelling errors in documentation and comments
2025-12-25 11:58:16 +03:00
raimbekovm 229941f6a2 docs: fix spelling errors in documentation and comments
- Fixed 'arrray' -> 'array' in calib3d.hpp
- Fixed 'varaible' -> 'variable' in matmul_layer.cpp
- Fixed 'PreprocesingEngine' -> 'PreprocessingEngine' in onevpl sample
- Fixed 'convertion/convertions' -> 'conversion/conversions' in quaternion.hpp, grfmt_tiff.cpp, nary_eltwise_layers.cpp, instance_norm_layer.cpp
2025-12-25 11:48:31 +06:00
Alexander Smorkalov 5c1737e0dc Merge pull request #28297 from raimbekovm:fix-documentation-typos
docs: fix typos in documentation
2025-12-25 08:35:19 +03:00
Alexander Smorkalov ec4889b7ae Merge pull request #28298 from raimbekovm:fix-spelling-errors
docs: fix spelling errors in documentation
2025-12-25 08:33:50 +03:00
Anastasiya Pronina e16fbb392c [G-API] Renamed WorkloadType::notify() -> WorkloadType::set() 2025-12-24 22:44:54 +00:00
raimbekovm 17a01d687c docs: fix spelling errors in documentation
- Fixed 'reinitalized' -> 'reinitialized' in background_segm.hpp
- Fixed 'dimentions/dimentional/dimentinal' -> 'dimensions/dimensional' in mat.hpp, imgproc.hpp, gmat.hpp, recurrent_layers.cpp
- Fixed 'tresholded' -> 'thresholded' in aruco_detector.cpp
2025-12-24 22:37:09 +06:00
raimbekovm 2fb95415dd Fix typos in documentation: 'algorighm' -> 'algorithm', 'necesary' -> 'necessary' 2025-12-24 22:11:28 +06:00
Alexander Smorkalov 3e89c3e26f Merge pull request #28287 from asmorkalov:update_version_4.13.0-pre
pre: OpenCV 4.13.0 (version++)
2025-12-24 11:18:20 +03:00
Alexander Smorkalov 73737bb3f1 Merge pull request #28286 from asmorkalov:as/warning_fix_win32
Warning fix on Windows.
2025-12-23 21:58:11 +03:00
Dheeraj Alamuri d3c539bf71 Merge pull request #28227 from dheeraj25406:docs-moments-degenerate
docs(imgproc): clarify cv::moments behavior for degenerate contours #28227

relates to https://github.com/opencv/opencv/issues/28222
Clarifies that for degenerate contours (single point or collinear points),
cv::moments() returns m00 == 0 and centroid is undefined.
Documents common workarounds such as boundingRect center or point averaging.
2025-12-23 20:53:43 +03:00
Alexander Smorkalov e63d2a12f0 pre: OpenCV 4.13.0 (version++). 2025-12-23 18:31:50 +03:00
Alexander Smorkalov a1b682254e Warning fix on Windows. 2025-12-23 18:25:26 +03:00
Adrian Kretz 54fc9dce0b Guarantee temporary object lifetime extension 2025-12-23 15:54:37 +01:00
Alexander Smorkalov 4705320496 Merge pull request #28239 from AdwaithBatchu:optimize-stitching-allocations
optimize: replace push_back with emplace_back in core loops
2025-12-23 15:05:35 +03:00
Alexander Smorkalov 81893fac24 Merge pull request #28282 from abhishek-gola:conv_kernel_size_fix
Support Conv kernel inference from initializer weights
2025-12-23 15:04:51 +03:00
Shruti Arsode 7e66c0504a Merge pull request #28275 from Shruti192903:docs/simpleblobdetector-api
docs(features2d): document getBlobContours and collectContours in SimpleBlobDetector #28275

Description: This PR adds missing Doxygen documentation for the getBlobContours() method and the collectContours parameter in SimpleBlobDetector. These features were previously undocumented, making the contour collection functionality difficult for users to discover and use correctly.

Changes:
Added a @brief and detailed note for SimpleBlobDetector::Params::collectContours.
Added documentation for SimpleBlobDetector::getBlobContours(), including a @note regarding the required parameter setup.

Testing:
Verified the documentation build locally on macOS using ninja opencv_docs.
Confirmed the generated HTML displays the descriptions and cross-references accurately.

Partially fixes: #25904
Related PR that adds method: https://github.com/opencv/opencv/pull/21942

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work.
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-23 15:03:57 +03:00
Vadim Pisarevsky eaccbe24b2 Merge pull request #28242 from vpisarev:fix_input_array_std_vector
modified Input/OutputArray methods to handle 'std::vector<T>' or 'std::vector<std::vector<T>>' properly #28242

This is port of #26408 with some further improvements (all switch-by-vector-type statements are consolidated in a single macro)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-23 14:25:07 +03:00
Abhishek Gola 2bce8e6a46 Added conv kernel size 2025-12-23 13:49:07 +05:30
Alexander Smorkalov a27397a654 Merge pull request #28274 from JahnviBhandari:setup
Fix wording in Adding Images Tutorial
2025-12-23 10:31:44 +03:00
Alexander Smorkalov d00021017a Merge pull request #28277 from JosuaRieder:feature/fix_stitcher_doc
Remove stray STX in stitcher tutorial
2025-12-23 10:19:27 +03:00
Alexander Smorkalov 031e7de85c Merge pull request #28272 from abhishek-gola:heap_overflow_fix
Fixed heap-buffer-overflow in DNN NaryEltwiseLayer
2025-12-23 08:52:16 +03:00
Josua Rieder 56d76f95ed Remove stray STX in stitcher tutorial 2025-12-22 21:33:56 +01:00
fcmiron ad9387340a Merge pull request #27460 from fcmiron:gapi_set_workloadtype_dynamically
G-API: Add support to set workload type dynamically in both OpenVINO and ONNX OVEP #27460

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-22 21:04:53 +03:00
Jonas Perolini 2bca09a191 Merge pull request #23190 from JonasPerolini:pr-output-marker-score
Include pixel-based confidence in ArUco marker detection #23190

The aim of this pull request is to compute a **pixel-based confidence** of the marker detection. The confidence [0;1] is defined as the percentage of correctly detected pixels, with 1 describing a pixel perfect detection. Currently it is possible to get the normalized Hamming distance between the detected marker and the dictionary ground truth [Dictionary::getDistanceToId()](https://github.com/opencv/opencv/blob/4.x/modules/objdetect/src/aruco/aruco_dictionary.cpp#L114) However, this distance is based on the extracted bits and we lose information in the [majority count step](https://github.com/opencv/opencv/blob/4.x/modules/objdetect/src/aruco/aruco_detector.cpp#L487). For example, even if each cell has 49% incorrect pixels, we still obtain a perfect Hamming distance.

**Implementation tests**: Generate 36 synthetic images containing 4 markers each (with different ids) so a total of 144 markers. Invert a given percentage of pixels in each cell of the marker to simulate uncertain detection. Assuming a perfect detection, define the ground truth uncertainty as the percentage of inverted pixels. The test is passed if `abs(computedConfidece - groundTruthConfidence) < 0.05` where `0.05` accounts for minor detection inaccuracies.

- Performed for both regular and inverted markers
- Included perspective-distorted markers
- Markers in all 4 possible rotations [0, 90, 180, 270]
- Different set of detection params:
    - `perspectiveRemovePixelPerCell`
    - `perspectiveRemoveIgnoredMarginPerCell`
    - `markerBorderBits`

![TestCases](https://github.com/user-attachments/assets/1113abd3-ff7a-45c8-8b4b-a9d2182eda82)


The code properly builds locally and `opencv_test_objdetect` and `opencv_test_core` passed. Please let me know if there are any further modifications needed. 

Thanks!


I've also pushed minor unrelated improvement (let me know if you want a separate PR) in the [bit extraction method](https://github.com/opencv/opencv/blob/4.x/modules/objdetect/src/aruco/aruco_detector.cpp#L435). `CV_Assert(perspectiveRemoveIgnoredMarginPerCell <=1)` should be `< 0.5`. Since there are margins on both sides of the cell, the margins must be smaller than half of the cell. When setting `perspectiveRemoveIgnoredMarginPerCell >= 0.5`, `opencv_test_objdetect` fails. Note: 0.499 is ok because `int()` will floor the result, thus `cellMarginPixels = int(cellMarginRate * cellSize)` will be smaller than `cellSize / 2`



### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The PR is proposed to the proper branch
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-22 20:54:40 +03:00
Abhishek Shinde ea9b183d9b Merge pull request #28259 from falloficarus22:fix/bilateral-filter-oob
Fix the out-of-bounds read in cv::bilateralFilter for 32f images #28259

### Root Cause Analysis

The issue was caused by a discrepancy between the image range used to allocate the color weight look-up table (LUT) and the actual range of pixel values encountered during filtering, especially near the image borders.

- Range Computation: `cv::bilateralFilter` computes the min/max values of the source image and allocates a `LUT (expLUT)` of size `kExpNumBins + 2` based on this range.
- Border Padding: If `cv::BORDER_CONSTANT` is used (defaulting to 0), and 0 is outside the image's original range (e.g., an image with values between 100 and 200), the padded image will contain values (0) that create differences larger than those accounted for in the `LUT`.
- Out-of-Bounds Access: When calculating the color weight, the code computes an index `idx` from the absolute difference. If this difference exceeds the expected range, `idx` can reach or exceed `kExpNumBins + 1`. Since the code performs linear interpolation using `expLUT[idx]` and `expLUT[idx + 1]`, an `idx` of `kExpNumBins + 1` causes an access to `expLUT[kExpNumBins + 2]`, which is out of bounds.

### Fix

I implemented a robust clamping mechanism in both the SIMD (AVX/SSE) and scalar paths of the bilateral filter invoker:

- Signature Update: Updated `bilateralFilterInvoker_32f` to accept `kExpNumBins` (the maximum valid `LUT` index).
- Clamping: Clamped the computed color difference (alpha) to `kExpNumBins` before calculating the `LUT` index. This ensures that any difference exceeding the planned range is safely treated as the maximum difference in the `LUT` (which usually corresponds to a weight of 0), avoiding any out-of-bounds memory access.

### Modified Files

Modified Files:
`modules/imgproc/src/bilateral_filter.simd.hpp`: Updated the invoker class and SIMD/scalar loops to clamp the LUT index.
`modules/imgproc/src/bilateral_filter.dispatch.cpp`: Updated the dispatch call site to pass the correct LUT size.

Closes #28254 

### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-22 20:41:58 +03:00
Alexander Smorkalov 83448836d3 Merge pull request #28273 from happy-capybara-man:revert-27985-docs/fix-mat-clone-js
Revert "Merge pull request #27985 from happy-capybara-man:docs/fix-ma…
2025-12-22 20:01:53 +03:00
Jahnvi 55293d39c3 Fix wording in Adding Images Tutorial 2025-12-22 22:26:39 +05:30
Abhishek Gola f86bdfcff4 fixed heap buffer overflow issue 2025-12-22 17:19:32 +05:30
Alexander Smorkalov 165b464cff Merge pull request #28216 from happy-capybara-man:4.x
js: restore deep copy behavior for Mat.clone() #28216

### Problem
In OpenCV.js, `cv.Mat.clone()` may resolve to Embind `ClassHandle.clone()` (handle/shallow clone) instead of OpenCV deep copy.

### Changes
- modules/js/src/helpers.js: override `cv.Mat.prototype.clone` -> `mat_clone` after runtime init
- modules/js/test/test_mat.js: update/extend tests to validate deep copy semantics of `clone()`

Fixes  #27572
Related: PR #26643 (js_clone_fix), PR #27985 (documentation update)

### Verification
- Built OpenCV.js with Emscripten 2.0.10
- QUnit: bin/tests.html
- CoreMat: test_mat_creation (0 failures)
<img width="745" height="362" alt="clone_fix" src="https://github.com/user-attachments/assets/16399abf-b94c-4591-b4aa-6e0fbd6cf23b" />

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-22 14:30:10 +03:00
satyam yadav 15fe69b5af Merge pull request #28250 from satyam102006:fix/stackblur-overflow-28233
imgproc: fix heap-buffer-overflow in stackBlur #28233 #28250

### Summary
Fixes a heap-buffer-overflow in `cv::stackBlur` when the kernel size is larger than the image dimensions 
### Changes
* Added input validation to clamp the kernel size to the image dimensions.
* Added a regression test (`regression_28233`) covering 1x1 and small image cases.

Fixes #28233
2025-12-22 11:22:12 +03:00
Alexander Smorkalov a66443fdc2 Merge pull request #28265 from shahkarnav115-beep:dnn-blobfromimages-umat-error
dnn: add error message for unimplemented UMat NCHW blob conversion
2025-12-22 11:04:31 +03:00
satyam yadav 74fbfc2343 Merge pull request #28117 from satyam102006:fix/solveCubic-numerical-instability
core: fix solveCubic numerical instability via coefficient normalization (fixes #27748) #28117

 Summary
This PR fixes numerical instability in `cv::solveCubic` when the leading coefficient `a` is non-zero but extremely small relative to other coefficients (Issue #27748). 

It introduces a **normalization step** that scales all coefficients by their maximum magnitude before solving. This ensures robust detection of when the equation should degenerate to a quadratic solver, without breaking valid cubic equations that happen to have small coefficients (e.g., scaled by 1e-9).

The Problem (Issue #27748)
The previous implementation checked `if (a == 0)` to decide whether to use the cubic or quadratic formula. 
- When `a` is extremely small (e.g., 1e-17) but not exactly zero, and other coefficients are normal (e.g., 5.0), the standard cubic formula suffers from catastrophic cancellation and overflow, producing incorrect roots (e.g., 1e14).

 The Fix
1. Normalization: The solver now finds `max_coeff = max(|a|, |b|, |c|, |d|)` and scales all coefficients by `1.0 / max_coeff`.
2. Relative Threshold: It then checks `if (abs(a) < epsilon)` on the *normalized* coefficients. 

 Why this is better than previous attempts
In a previous attempt (PR #28057), a simple absolute check `abs(a) < epsilon` was proposed. That approach was rejected because it failed for scaled equations. 


Fixes #27748
2025-12-22 11:01:51 +03:00
Karnav Shah a714934c86 dnn: add error message for unimplemented UMat NCHW blob conversion 2025-12-22 01:25:48 +05:30
Abhishek Gola 66bb0a8017 Merge pull request #28164 from abhishek-gola:randomNormalLike_layer_4x
Added randomNormalLike layer to 4.x branch #28164

OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1297
Backport of https://github.com/opencv/opencv/pull/28110 to 4.x

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-21 20:18:28 +03:00
Alexander Smorkalov 8cf2e774b7 Merge pull request #28208 from asmorkalov:as/filters_stateless
Stateless HAL for filters and morphology. #28208

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-20 13:30:09 +03:00
satyam yadav 2b42788803 Merge pull request #28217 from satyam102006:feature/dis-coarsest-scale
[video] Add setCoarsestScale to DISOpticalFlow (Fixes #25068) #28217

### Description
This PR addresses issue #25068 regarding the number of scales in `DISOpticalFlow`.

Currently, `DISOpticalFlow` automatically computes the `coarsest_scale` based on the image size. While generally effective, this behavior can cause errors in specific use cases (e.g., mechanics/speckle pattern analysis) where high pyramid levels degrade quality.

This change introduces a manual override:
- Added `setCoarsestScale(int val)` and `getCoarsestScale()` to the public API.
- Updated `DISOpticalFlowImpl::calc` and `ocl_calc` to use the user-defined scale if set.
- Preserved the existing "automatic" behavior as the default (when set to -1).

### Changes
- **`modules/video/include/opencv2/video/tracking.hpp`**: Added virtual method declarations.
- **`modules/video/src/dis_flow.cpp`**: Implemented `set/getCoarsestScale` in `DISOpticalFlowImpl` and updated calculation logic.
- **`modules/video/test/test_OF_accuracy.cpp`**: Added `DenseOpticalFlow_DIS.ManualCoarsestScale` regression test.


Fixes #25068
2025-12-20 13:28:32 +03:00
Alexander Smorkalov 64755d0c3a Merge pull request #28248 from ramukhsuya:tflite-minimum-support
DNN: Add TFLite Minimum layer support
2025-12-20 13:18:33 +03:00
Alexander Smorkalov da6a671b46 Merge pull request #28249 from vrabaud:msan
Fix potential overflow
2025-12-20 13:15:51 +03:00
happy-capybara-man 78c27ba4a6 Revert "Merge pull request #27985 from happy-capybara-man:docs/fix-mat-clone-js"
This reverts commit db207c88b0.
2025-12-20 15:23:15 +08:00
Vincent Rabaud 5d8ab389f8 Fix potential overflow
Fixes https://g-issues.oss-fuzz.com/issues/470321412
2025-12-19 16:59:18 +01:00
ramukhsuya 43053327ff DNN: Add TFLite Minimum layer support 2025-12-19 20:41:38 +05:30
Alexander Smorkalov 9f9b6e8dd3 Merge pull request #28246 from brianferri:4.x
fix: Invalid operands to binary expression
2025-12-19 15:12:31 +03:00
Alexander Smorkalov a3380cc128 Code review fixes. 2025-12-19 14:59:45 +03:00
Dmitry Kurtaev 43074571af Merge pull request #28163 from dkurt:d.kurtaev/convexHull_repeats
Keep convexHull output indices monotone if possible #28163

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24907 ?
resolves https://github.com/opencv/opencv/issues/4954

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-19 14:41:21 +03:00
Brian Ferri 93f1413db9 fix: Invalid operands to binary expression 2025-12-19 10:49:36 +01:00
AdwaithBatchu 5f0bd387db optimize: replace push_back with emplace_back in core loops
Replaces wasteful temporary object construction with in-place construction using emplace_back. Covers hot paths in objdetect, imgproc, and stitching modules.
2025-12-19 11:56:20 +05:30
happy-capybara-man 4946b97c3d js: remove empty line before EOF in helpers.js 2025-12-19 02:56:25 +08:00
Alexander Smorkalov b157553e55 Merge pull request #28202 from satyam102006:fix-27372-dshow-whitebalance-mapping
videoio(dshow): Fix incorrect mapping for White Balance Temperature property
2025-12-18 18:17:36 +03:00
ramukhsuya 44b31dd82c Merge pull request #28171 from ramukhsuya:tflite-maximum-support
dnn(tflite): add support for MAXIMUM layer #28171

Fixes #26433
This PR adds support for the `MAXIMUM` layer in the TFLite importer.
It maps the TFLite `MAXIMUM` opcode to the existing OpenCV Element-wise `Max` operation.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-18 17:55:04 +03:00
Alexander Smorkalov bbda4e8964 Merge pull request #28226 from vrabaud:msan
Fix potential pointer overflow.
2025-12-18 14:53:10 +03:00
HARSH SUMAN e3e87055bd Merge pull request #28195 from harsh-suman5:fix-coverage-regex
Fix regex escape warning in _coverage.py by using raw string #2819

while i am running '_coverage.py' I noticed there is a syntax warning:"\." It is an invalid escape sequence
The regex was written as a normal string with '\.' which is not valid escape in string literals and give problems and error in a new python versions. 
To fix this switch to raw string(r'cv2?\.\w+') which can passes the backslashes directly to the regex engine. This removes the warning and keeps the code  and pattern working properly.

This is a small fix but important for future compatibilities.
2025-12-18 14:52:20 +03:00
Alexander Smorkalov f23969a07a Merge pull request #28220 from asmorkalov:as/kleidicv_0.7
KleidiCV update to version 0.7.
2025-12-18 14:33:40 +03:00
AdwaithBatchu 87f4a9782c Merge pull request #28203 from AdwaithBatchu:fix-macos-lapack-warnings
core: suppress LAPACK deprecation warnings on macOS #28203

### Description
On macOS (Apple Silicon) with newer Xcode/Clang, the CLAPACK interface is deprecated.
Compiling `hal_internal.cpp` triggers multiple warnings like:
`warning: 'sgesv_' is deprecated: first deprecated in macOS 13.3 - The CLAPACK interface is deprecated. [-Wdeprecated-declarations]`

Since migrating to the new Accelerate interface (Apple's recommended fix) requires significant changes to the HAL implementation and breaks the build if headers are mismatched, this PR takes the pragmatic approach. It suppresses the `-Wdeprecated-declarations` warning for this specific file using Clang pragmas to clean up the build output.

### Verification
- [x] Verified build is silent on macOS (M3).
- [x] Verified pragmas are correctly scoped within `HAVE_LAPACK` to prevent scope mismatch on non-LAPACK builds.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-18 13:53:56 +03:00
Karnav Shah dc52acc7d1 Merge pull request #28200 from shahkarnav115-beep:fix-avif-null-checks
imgcodecs(avif): add safety checks for AVIF decoder and encoder #28200

Add defensive checks to prevent potential null dereference in AVIF decoder and encoder paths when handling malformed input or allocation failures.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-18 12:47:35 +03:00
Vincent Rabaud 91a745adc5 Fix potential pointer overflow.
It is undefined behavior in C++ to compute an adress out of the
allocated zone (even when not dereferencing).
https://en.cppreference.com/w/cpp/language/operator_arithmetic.html#Pointer_arithmetic
2025-12-18 10:26:04 +01:00
Alexander Smorkalov 0af685708b Merge pull request #28211 from pratham-mcw:fix/neon-dotprod-expand-overflow
NEON: fix dot product accumulation causing NORM test failures on Windows ARM64
2025-12-18 11:39:46 +03:00
Alexander Smorkalov 721bb7289d Merge pull request #28185 from asmorkalov:as/static_analysys_fix
Fixed issues identified by PVS Studio #28185

Partially fixes https://github.com/opencv/opencv/issues/28167
Paper: https://pvs-studio.com/en/blog/posts/cpp/1321/

Closed items: N2, N4, N5, N6, N7, N8, N10, N11, N13, N14.

To be continued...

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-18 11:32:19 +03:00
Alexander Smorkalov 6aa1228ec1 KleidiCV update to version 0.7. 2025-12-18 09:51:09 +03:00
Alexander Smorkalov a858fb7cff Stateless HAL for filters and morphology. 2025-12-18 09:36:54 +03:00
Alexander Smorkalov 0ca4117c27 Merge pull request #28198 from asmorkalov:as/gapi_static_analysis
Fixes for issues found by PVS Studio in GAPI module.
2025-12-17 22:13:41 +03:00
happy-capybara-man 8ea50a77fd js: restore deep copy behavior for Mat.clone()
Emscripten 3.1.71+ introduced ClassHandle.clone() which performs a shallow copy.
This shadowed the original OpenCV clone() method which was intended for deep copying.

This patch:
1. Hooks into onRuntimeInitialized in helpers.js
2. Overrides cv.Mat.prototype.clone to point to mat_clone (deep copy)
3. Updates JS tests to use clone() to verify the fix
2025-12-18 01:39:27 +08:00
satyam yadav dbe11a4d1c Update cap_dshow.cpp 2025-12-16 23:46:29 +05:30
Alexander Smorkalov e4d294d018 Merge pull request #28196 from vrabaud:msan
Prevent integer overflow in dimension checks.
2025-12-16 20:47:06 +03:00
Alexander Smorkalov 9f1a2d3736 Fixes for issues found by PVS Studio. 2025-12-16 18:34:20 +03:00
Alexander Smorkalov 2a29d87e1d Merge pull request #28137 from Ghazi-raad:fix/null-pointer-gapi-state-28095-v2
Fix null pointer dereference in G-API stateful kernels
2025-12-16 15:17:58 +03:00
Vincent Rabaud 5c6c584c01 Prevent integer overflow in dimension checks.
This fixes https://g-issues.oss-fuzz.com/issues/446726230
2025-12-16 13:09:31 +01:00
Alexander Smorkalov c03734475f Merge pull request #28159 from asmorkalov:as/java_cleaners
Introduce option to generate Java code with finalize() or Cleaners interface #28159
 
Closes https://github.com/opencv/opencv/issues/22260
Replaces https://github.com/opencv/opencv/pull/23467

The PR introduce configuration option to generate Java code with Cleaner interface for Java 9+ and old-fashion finalize() method for old Java and Android. Mat class and derivatives are manually written. The PR introduce 2 base classes for it depending on the generator configuration.

Pros:
1. No need to implement complex and error prone cleaner on library side.
2. No new CMake templates, easier to modify code in IDE.

Cons:
1. More generator branches and different code for modern desktop and Android.

TODO: 
- [x] Add Java version check to cmake
- [x] Use Cleaners for ANDROID API 33+

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-16 14:21:34 +03:00
Alex 7ca9d9ce03 Merge pull request #27878 from 0lekW:ffmpeg-negative-dts-seeking-fix
Fix frame seeking with negative DTS values in FFMPEG backend #27878

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1289

Fixes https://github.com/opencv/opencv/issues/27819
Fixes https://github.com/opencv/opencv/issues/23472
Accompanied by PR on https://github.com/opencv/opencv_extra/pull/1289

The FFmpeg backend fails to correctly seek in H.264 videos that contain negative DTS values in their initial frames. This is a valid encoding practice used by modern video encoders (such as DaVinci Resolve's current export) where B-frame reordering causes the first few frames to have negative DTS values.

When picture_pts is unavailable (AV_NOPTS_VALUE), the code falls back to using pkt_dts:
`picture_pts = packet_raw.pts != AV_NOPTS_VALUE_ ? packet_raw.pts : packet_raw.dts;`

If this DTS value is negative (which is legal per H.264 spec), it propagates through the frame number calculation:
`frame_number = dts_to_frame_number(picture_pts) - first_frame_number;`

This results in negative frame numbers, messing up seeking operations.

Solution implemented in this branch is a timestamp normalization similar to FFmpegs -avoid_negative_ts_make_zero flag:
- Calculate a global offset once on the first decoded frame by getting the minimum timestamp in either:
    - Container start_time
    - Stream start_time
    - First observed timestamp (PTS, then DTS).
- Apply the offset consistently to all timestamps, shifting negative values to begin at 0 while keeping relative timing.
- Simplify timestamp converters to remove `start_time` subtractions since timestamps are pre-normalized.

This also includes a new test `videoio_ffmpeg.seek_with_negative_dts`
This test verifies that seeking behavior performs as expected on a file which has negative DTS values in the first frames. 
A PR on opencv_extra accompanies this one with that testing file: https://github.com/opencv/opencv_extra/pull/1279

```
opencv_extra=ffmpeg-videoio-negative-dts-test-data
```

<cut/>

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-16 11:38:51 +03:00
Abhishek Gola 33ebceddb2 Merge pull request #28168 from abhishek-gola:mergeDebevec_fix
Added 16U and 32F support in merge functions in photo module #28168

closes: https://github.com/opencv/opencv/issues/27873
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-16 10:45:19 +03:00
Kumataro 9c48c69c8a Merge pull request #28179 from Kumataro:fix28178
js: add C++17 requirement check for Emscripten 4.0.20+ #28179
 
Close https://github.com/opencv/opencv/issues/28178

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-16 10:41:43 +03:00
Alexander Smorkalov fdb1ad3aa4 Merge pull request #28156 from asmorkalov:as/cuda_bufferpool_raise
Enabled Python test for CUDA BufferPool.
2025-12-16 10:37:50 +03:00
Alexander Smorkalov 75ede342cf Merge pull request #28186 from shahkarnav115-beep:fix-stitching-argparse-safety
samples(python): fix argparse boolean flag for --try_cuda
2025-12-16 10:22:19 +03:00
Alexander Smorkalov 507a0a6c5a Merge pull request #28192 from shahkarnav115-beep:fix-sample-launcher-selection
Fix crash in sample launcher when no item is selected
2025-12-16 10:21:54 +03:00
Karnav Shah 4e2c39b1a0 Fix crash in sample launcher when no item is selected 2025-12-16 11:30:55 +05:30
Alexander Smorkalov 7291f638b6 Merge pull request #28182 from shahkarnav115-beep:samples-guard-stft-timestep
samples(python): guard against invalid STFT time step
2025-12-15 19:26:01 +03:00
pratham-mcw ddf2863aaa NEON: fix incorrect accumulation in v_dotprod_expand_fast 2025-12-15 21:29:10 +05:30
Karnav Shah 1eb1157490 samples(python): fix argparse boolean flag for --try_cuda 2025-12-15 15:53:04 +05:30
Karnav Shah 9a7e88eb3e samples(python): guard against invalid STFT time step 2025-12-15 15:04:10 +05:30
Yuantao Feng 912d27a7b7 Merge pull request #28180 from fengyuentau:rvv_hal/flip
rvv_hal: fix flip inplace #28180

Fixes https://github.com/opencv/opencv/issues/28124

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-15 10:51:48 +03:00
Karnav Shah f5d6fe5392 Merge pull request #28176 from shahkarnav115-beep:docs-animation-frame-duration
Docs(imgcodecs): clarify animation frame duration units #28176

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Docs-only change. No code or tests affected.
2025-12-15 09:24:58 +03:00
satyam yadav 748d654535 Merge pull request #28173 from satyam102006:fix/issue-28165-videoio-ios-crash
videoio(ios): fix NSInvalidArgumentException in VideoWriter release #28173

Summary
Fixes a crash on iOS when calling `VideoWriter::release()` in OpenCV 4.12.0.

Issue
Fixes #28165

Detailed Description
This PR resolves a regression where an `NSInvalidArgumentException` was thrown with the message ` -[NSAutoreleasePool retain]: Cannot retain an autorelease pool`.

The crash was caused by the manual usage of `NSAutoreleasePool` in the `~CvVideoWriter_AVFoundation` destructor. The local pool variable was being captured by the completion handler block passed to `[mMovieWriter finishWritingWithCompletionHandler:]`. Since `NSAutoreleasePool` instances cannot be retained, capturing them in a block causes a crash.

Changes:
- Replaced manual `NSAutoreleasePool` allocation and draining with modern `@autoreleasepool` blocks in `CvVideoWriter_AVFoundation`.
- applied this modernization to the Constructor, Destructor, and `write` methods.
- Specifically in the destructor, an inner `@autoreleasepool` is now used inside the completion block, ensuring no pool object needs to be captured from the outer scope.
2025-12-14 15:25:52 +03:00
zdenyhraz c5d70a7f22 Merge pull request #28146 from zdenyhraz:iterative-phase-correlation
Iterative Phase Correlation #28146

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-13 12:45:05 +03:00
Alexander Smorkalov 3eb143cc22 Merge pull request #28139 from asmorkalov:as/webp_1.6.0
WebP update to version 1.6.0 #28139

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-13 12:44:01 +03:00
Alexander Smorkalov 579dfb6e02 Merge pull request #27640 from asmorkalov:as/kleidicv_mac
Enable KleidiCV on Linux and Mac Mx by default #27640

OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1296

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-11 18:06:39 +03:00
Stefania Hergane dee619b628 Merge pull request #28127 from StefaniaHergane:hs/deprecated_ov_element_undefined
Update deprecated ov::element::undefined #28127

### Summary
Fixing OpenCV build error below.
Relates to OpenVINO 2026.0 updates on `ov::element::undefined` (https://github.com/openvinotoolkit/openvino/pull/32573) - replaced by `ov::element::dynamic`.
```
/home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/src/backends/ov/govbackend.cpp
[2025-12-03T21:25:54.540Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/src/backends/ov/govbackend.cpp: In function ���ov::element::Type toOV(int)���:
[2025-12-03T21:25:54.540Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/src/backends/ov/govbackend.cpp:114:25: error: ���undefined��� is not a member of ���ov::element���
[2025-12-03T21:25:54.540Z]   114 |     return ov::element::undefined;
...
/home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/test/infer/gapi_infer_ov_tests.cpp
[2025-12-03T21:26:19.642Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/test/infer/gapi_infer_ov_tests.cpp: In function ���ov::element::Type opencv_test::toOV(int)���:
[2025-12-03T21:26:19.642Z] /home/jenkins/agent/workspace/openVINO-builder/opencv_source/opencv-opencv-f627368/modules/gapi/test/infer/gapi_infer_ov_tests.cpp:832:25: error: ���undefined��� is not a member of ���ov::element���
[2025-12-03T21:26:19.642Z]   832 |     return ov::element::undefined;
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

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2025-12-10 17:48:35 +03:00
Dmitry Kurtaev 334b7146f5 Merge pull request #28157 from dkurt:normalize_vec_qrdetect
Remove floating point arithmetic from angle computation in QR codes #28157

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24646

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-12-10 10:20:08 +03:00
Ghazi-raad f704001eb7 Merge pull request #28120 from Ghazi-raad:test/line-connectivity-26413
Test: Add regression test for LINE_4 vs LINE_8 connectivity #28120 

Add test to verify correct behavior of LINE_4 (4-connected) and LINE_8 (8-connected) line drawing. This test ensures:

- LINE_4 produces staircase pattern (more pixels) for diagonal lines
- LINE_8 produces diagonal steps (fewer pixels)
- LINE_4 pixels have only horizontal/vertical neighbors (no diagonal-only)

Regression test for issue #26413 where LINE_4 and LINE_8 behaviors were swapped.
2025-12-09 15:59:24 +03:00
Skreg 2bf4f5c151 Merge pull request #26366 from shyama7004:fix-orb.cpp
Fix ORB inconsistency for masks with values 255 and 1. #26366

### Pull Request Readiness Checklist

The PR fixes : [25974](https://github.com/opencv/opencv/issues/25974)

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-09 14:31:53 +03:00
Alexander Smorkalov 02628f0188 Enabled Python test for CUDA BufferPool. 2025-12-09 12:09:41 +03:00
Alexander Smorkalov 9a9ae12475 Merge pull request #28147 from asmorkalov:as/libpng_1.6.53
libpng update to version 1.6.53.
2025-12-09 12:07:24 +03:00
shubham khatri 498853d996 Merge pull request #28143 from Shubh3155:fix-js-ptr-factory-namespace
Fix JS bindings for namespaced Ptr factory return types #28143

This PR fixes an issue in the JS bindings generator for factory functions returning cv::Ptr<T> where T belongs to a namespaced class (for example cv::ximgproc::EdgeDrawing).
The generator previously produced unqualified C++ template arguments such as:
.constructor(select_overload<Ptr<EdgeDrawing>()>(&cv::ximgproc::createEdgeDrawing))

This results in invalid C++ because EdgeDrawing is not found in the global namespace.

Fixes https://github.com/opencv/opencv/issues/28130

In modules/js/generator/embindgen.py, inside both:

gen_function_binding_with_wrapper

gen_function_binding

a check is added:

When factory == True,

And the return type begins with Ptr<...>,

And the inner type is missing a namespace (::),
Ptr<T>  →  Ptr<class_info.cname>

This ensures the fully-qualified class name (e.g. cv::ximgproc::EdgeDrawing) is used in the generated bindings.

.constructor(select_overload<Ptr<cv::ximgproc::EdgeDrawing>()>(&cv::ximgproc::createEdgeDrawing))

Configured OpenCV with:
cmake .. -DBUILD_opencv_js=ON

Ran:
make -j gen_opencv_js_source

JS generator completed successfully without errors.

This change does not modify generated files directly — it modifies the generator logic so the correct namespace is applied automatically.
2025-12-09 12:05:55 +03:00
Alexander Smorkalov 0e2373557b Merge pull request #28119 from galinabykova:approxPolyDP_fix_distance_segment
fix bug in approxPolyDP: calculate distance to a segment, not to a straight line
2025-12-09 10:59:33 +03:00
Alexander Smorkalov e345632aeb Merge pull request #28145 from ramukhsuya:fix-convert-rgb-docs
Docs: Fix CAP_PROP_CONVERT_RGB description to BGR (Fixes #22697)
2025-12-09 10:58:11 +03:00
Alexander Smorkalov 192f0d620e Merge pull request #28149 from vrabaud:rotacli
Increase minAreaRect accuracy
2025-12-09 10:30:07 +03:00
Alexander Smorkalov 5599da14f7 Merge pull request #28155 from vrabaud:msan
Disable MSAn for lapack_LU
2025-12-09 08:24:50 +03:00
Vincent Rabaud 01f2f3c4b9 Disable MSAn for lapack_LU
One of the arguments is sent to Fortran so the whole function has
to be disabled fro MSAN. Arguments cannot be unpoisoned, cf
https://g3doc.corp.google.com/testing/msan/g3doc/index.md?cl=head#memorysanitizer-api
2025-12-08 21:53:53 +01:00
Alexander Smorkalov c25e48249f Merge pull request #28148 from vrabaud:windows
Add missing combaseapi.h include.
2025-12-08 18:07:50 +03:00
Alexander Smorkalov 1d5bf7a09c Merge pull request #28141 from asmorkalov:as/orbbec_diagnostics
Added Orbbec cameras support to CMake diagnostics.
2025-12-08 14:07:24 +03:00
Vincent Rabaud 4d7ce375fc Increase minAreaRect accuracy
Just keep doubles all the way and avoid arithmetic with CV_PI/2
2025-12-08 09:44:02 +01:00
Alexander Smorkalov 318e2e26bd Merge pull request #28134 from dg0yt:in-lists
Fix CMake foreach loops
2025-12-08 11:25:24 +03:00
Alexander Smorkalov 3574a2fe19 Merge pull request #28128 from asmorkalov:as/qt_unicode
Fixed unicode tracing symbols with QT
2025-12-08 10:58:15 +03:00
Vincent Rabaud c6220c2b47 Add missing combaseapi.h include.
This is needed for CoCreateGuid.
2025-12-08 08:53:54 +01:00
Alexander Smorkalov 1288aace98 libpng update to version 1.6.53. 2025-12-08 10:34:20 +03:00
Alexander Smorkalov bd54424f03 Merge pull request #28140 from asmorkalov:as/openjpeg_2.5.4
OpenJPEG update to 2.5.4 #28140

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-08 08:59:51 +03:00
Alexander Smorkalov fc6c6bf7de Merge pull request #28142 from parekh-parth2001:doc-imwrite-return
Document imwrite boolean return value
2025-12-08 08:56:41 +03:00
ramukhsuya 6460332780 Docs: Fix CAP_PROP_CONVERT_RGB description to BGR (Fixes #22697) 2025-12-07 19:35:25 +05:30
Alexander Smorkalov 927beeacf6 Merge pull request #28138 from Kumataro:trial26447
doc: add supported src type info for each ColorConversionCodes
2025-12-07 15:26:13 +03:00
Parth Parekh 201db16aa2 Document boolean return value of imwrite 2025-12-07 14:25:56 +05:30
Alexander Smorkalov 7a1425ca2c Added Orbbec cameras support to CMake diagnostics. 2025-12-07 11:38:29 +03:00
Alexander Smorkalov 55eb43fa28 Merge pull request #28131 from Kumataro:chore_libpng_1_6_52
chore: Synchronize 3rdparty libpng version to 1.6.52 in README/CHANGES
2025-12-07 10:13:20 +03:00
Kumataro 7971cbc7d0 doc: add supported src type info for each ColorConversionCodes 2025-12-07 00:33:02 +09:00
Ghazi-raad 5a0679b862 Fix null pointer dereference in G-API stateful kernels
Fixes #28095

Problem:
- Stateful kernels dereference null state pointer on line 446 in gcpukernel.hpp
- jinboson confirmed state_ptr is null on x86 Ubuntu (7 hours ago)
- Causes crash with std::shared_ptr assertion on LoongArch64 and strict platforms

Solution (addressing Copilot review feedback from PR #28096):
1. Added null pointer check using CV_Error instead of CV_Assert:
   - CV_Assert with && 'message' doesn't display the message correctly
   - CV_Error properly reports cv::Error::StsNullPtr with clear message

2. Fixed test kernels to properly initialize state using std::make_shared:
   - GOCVStInvalidResize: Initialize state in setup()
   - GOCVCountStateSetups: Initialize state before incrementing counter
   - Used std::make_shared<int>() for modern C++ best practice

Impact:
- Prevents crashes on platforms with strict null pointer checking
- Provides actionable error message for developers
- Fixes StatefulKernel.StateInitOnceInRegularMode and InvalidReallocatingKernel tests
2025-12-06 12:45:48 +00:00
Kai Pastor 6fc0f38e1c Fix CMake foreach loops 2025-12-06 11:03:53 +01:00
Kumataro 29f44b4530 chore: Synchronize 3rdparty libpng version to 1.6.52 in README/CHANGES 2025-12-06 08:33:27 +09:00
Alexander Smorkalov 324d489e71 Updated libpng to v1.6.52 and added RISC-V optimimizations. (#28111)
* Updated libpng to v1.6.51 and added RISC-V optimimizations.

* Force 3rdparty build for CI test.

* Added RISC-V RVV diagnostics for PNG.

* RISC-V RVV diagnostic fix.

* Disabled incorrect in-place flip HAL on RISC-V RVV.

* Disabled risc-v rvv of  png_read_filter_row_paeth in libpng.

* Set PNG simd configuration defaults accornding to OpenCV settings.

* Update to libpng 1.6.52 with RISC-V RVV fix.

* Build fix for RISC-V RVV.

* Reverted CI changes.
2025-12-05 17:17:22 +03:00
Alexander Smorkalov de660aedca Reverted CI changes. 2025-12-05 16:00:14 +03:00
Alexander Smorkalov fd11f635c1 Merge pull request #28122 from asmorkalov:as/dynamic_openmp
Dropped OPENCV_FOR_OPENMP_DYNAMIC_DISABLE environment varibale in favor of standard OMP_DYNAMIC #28122

Fixes: https://github.com/opencv/opencv/issues/25717
Replaces: https://github.com/opencv/opencv/pull/28084

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-05 14:13:19 +03:00
Alexander Smorkalov 92ea2c324b Fixed unicode tracing symbols with QT. 2025-12-05 08:45:32 +03:00
Alexander Smorkalov 98d065370c Build fix for RISC-V RVV. 2025-12-05 08:08:36 +03:00
Alexander Smorkalov d88f080b7e Update to libpng 1.6.52 with RISC-V RVV fix. 2025-12-05 07:52:26 +03:00
Alexander Smorkalov ab23a89975 Set PNG simd configuration defaults accornding to OpenCV settings. 2025-12-04 18:07:21 +03:00
Alexander Smorkalov 8807d75566 Merge pull request #28125 from asmorkalov:as/disable_riscv_flip
Disabled incorrect in-place flip HAL on RISC-V RVV
2025-12-04 17:41:12 +03:00
Alexander Smorkalov e669a955c7 Disabled risc-v rvv of png_read_filter_row_paeth in libpng. 2025-12-04 16:35:02 +03:00
Alexander Smorkalov e5075ffa33 Disabled incorrect in-place flip HAL on RISC-V RVV. 2025-12-04 14:55:31 +03:00
Alexander Smorkalov 71d49c2dc2 Disabled incorrect in-place flip HAL on RISC-V RVV. 2025-12-04 14:53:33 +03:00
Alexander Smorkalov 1d8d76cd50 RISC-V RVV diagnostic fix. 2025-12-04 11:28:32 +03:00
Gursimar Singh b1d75bf477 Merge pull request #28078 from gursimarsingh:codeql-migration
Adding github CodeQL #28078

Related pipeline in CI repo: https://github.com/opencv/ci-gha-workflow/pull/280

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-03 11:15:59 +03:00
nishith-fujitsu 8efc0fd47b Merge pull request #28055 from nishith-fujitsu:sve_fastGEMM1t
dnn: add SVE optimized fastGEMM1T function and SVE dispatch #28055

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch

**Description**
This PR enables fastGemm1t vectorized with SVE for AARCH64 architecture that called by recurrent layers and fully connected layers with SVE dispatching mechanism.

**ARM Compatibility:**
Modified the build scripts, and configuration files to ensure compatibility with ARM processors.

**Checklist**

Code changes have been tested on ARM devices (Graviton3).

**Modifications**

- Implemented FastGemm1T kernel in SVE with Vector length agnostic approach.

- Added Flags and checks to call our ported Kernel in Recurrent Layer and FullyConnected layer.

- Changes made to cmakelist.txt to dispatch our ported kernel for SVE.

- Flag OpenCV Dispatch with SVE optimization is added to support SVE implemented kernel for OpenCV. According to OpenCV build optimization https://github.com/opencv/opencv/wiki/CPU-optimizations-build-options 
cmake \
    -DCPU_BASELINE=NEON\
    -D CPU_DISPATCH=SVE\

**Performance Improvement**
- The suggested optimizations Improves the performance of LSTM layer and fully connected layer.
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Name of Test | dnn_neon | dnn_sve | dnn_sve   vs dnn_neon(x-factor)
-- | -- | -- | --
lstm::Layer_LSTM::BATCH=1,   IN=64, HIDDEN=192, TS=100 | 2.878 | 2.326 | 1.24
lstm::Layer_LSTM::BATCH=1,   IN=192, HIDDEN=192, TS=100 | 4.162 | 3.08 | 1.35
lstm::Layer_LSTM::BATCH=1,   IN=192, HIDDEN=512, TS=100 | 18.627 | 16.152 | 1.15
lstm::Layer_LSTM::BATCH=1,   IN=1024, HIDDEN=192, TS=100 | 10.98 | 7.976 | 1.38
lstm::Layer_LSTM::BATCH=64,   IN=64, HIDDEN=192, TS=2 | 4.41 | 3.459 | 1.27
lstm::Layer_LSTM::BATCH=64,   IN=192, HIDDEN=192, TS=2 | 6.567 | 4.807 | 1.37
lstm::Layer_LSTM::BATCH=64,   IN=192, HIDDEN=512, TS=2 | 28.471 | 22.909 | 1.24
lstm::Layer_LSTM::BATCH=64,   IN=1024, HIDDEN=192, TS=2 | 15.491 | 12.537 | 1.24
lstm::Layer_LSTM::BATCH=128,   IN=64, HIDDEN=192, TS=2 | 8.848 | 6.821 | 1.3
lstm::Layer_LSTM::BATCH=128,   IN=192, HIDDEN=192, TS=2 | 12.969 | 9.522 | 1.36
lstm::Layer_LSTM::BATCH=128,   IN=192, HIDDEN=512, TS=2 | 55.52 | 45.746 | 1.21
lstm::Layer_LSTM::BATCH=128,   IN=1024, HIDDEN=192, TS=2 | 31.226 | 26.132 | 1.19

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Name of Test | dnn_neon | dnn_sve | dnn_sve   vs dnn_neon(x-factor)
-- | -- | -- | --
fc::Layer_FullyConnected::([5,   16, 512, 128], 256, false, OCV/CPU) | 5.086 | 4.483 | 1.13
fc::Layer_FullyConnected::([5,   16, 512, 128], 256, true, OCV/CPU) | 8.512 | 8.347 | 1.02
fc::Layer_FullyConnected::([5,   16, 512, 128], 512, false, OCV/CPU) | 9.467 | 8.965 | 1.06
fc::Layer_FullyConnected::([5,   16, 512, 128], 512, true, OCV/CPU) | 14.855 | 13.527 | 1.1
fc::Layer_FullyConnected::([5,   16, 512, 128], 1024, false, OCV/CPU) | 18.821 | 18.023 | 1.04
fc::Layer_FullyConnected::([5,   16, 512, 128], 1024, true, OCV/CPU) | 27.558 | 24.966 | 1.1
fc::Layer_FullyConnected::([5,   512, 384, 0], 256, false, OCV/CPU) | 0.924 | 0.804 | 1.15
fc::Layer_FullyConnected::([5,   512, 384, 0], 256, true, OCV/CPU) | 1.259 | 1.126 | 1.12
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fc::Layer_FullyConnected::([5,   512, 384, 0], 1024, true, OCV/CPU) | 8.924 | 8.993 | 0.99

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2025-12-03 10:42:28 +03:00
Alexander Smorkalov e3fe5a5681 Merge pull request #28112 from asmorkalov:as/jpeg_turbo_3.1.2
Merge pull request #28112 from asmorkalov:as/jpeg_turbo_3.1.2

### Pull Request Readiness Checklist

Previous update: https://github.com/opencv/opencv/pull/27031

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-03 10:26:44 +03:00
Alessandro de Oliveira Faria (A.K.A.CABELO) 9c3d3dbee7 Merge pull request #28082 from cabelo:4.x
Analog Gauge Reader - cabelo@opensuse.org #28082

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

I humbly offer this example so that all developers can understand that many problems can be solved without VLM models.

<img width="269" height="267" alt="image" src="https://github.com/user-attachments/assets/d31f1557-7648-4e9c-8933-dcadb1f326aa" />
<img width="269" height="267" alt="image" src="https://github.com/user-attachments/assets/4039417c-b5c9-4228-ac7b-5336aeb88325" />
<img width="840" height="288" alt="image" src="https://github.com/user-attachments/assets/53f8ddf9-63cd-43b1-bff0-2e9e39d14153" />
2025-12-03 10:05:50 +03:00
Alexander Smorkalov 5a4f23f9d6 Merge pull request #28088 from Ghazi-raad:fix/drawcontours-line-type-swap-26413
Fix LINE_4/LINE_8 swap in drawContours (issue #26413)
2025-12-03 09:34:01 +03:00
sinkboy-chen 4c7fd071f0 Merge pull request #28118 from sinkboy-chen:bugfix/cuda-race-condition
stitching: pass warp params by value to avoid CUDA constant races #28118

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under the Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on code under GPL or another license that is incompatible with OpenCV.
- [x] The PR is proposed to the proper branch.
- [x] There is a reference to the original bug report and related work.
- [ ] There are accuracy tests, performance tests, and test data in the opencv_extra repository, if applicable.  
      The patch to opencv_extra uses the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake configuration.

Fixes #26870.

In `modules/stitching/src/cuda/build_warp_maps.cu`, the original implementation copied parameters into global GPU constant symbols:

```cpp
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::ck_rinv, k_rinv, 9 * sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cr_kinv, r_kinv, 9 * sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cscale, &scale, sizeof(float)));
```

As discussed in the issue, this can cause race conditions when multiple warps are built concurrently. This patch removes the use of these global constant symbols and instead passes the required data as kernel parameters (a total of 11 floats encapsulated in `WarpParams`).

One potential concern is increased register pressure due to additional kernel arguments. However, based on experiments using the test case from issue #26870, there is no significant performance regression; in fact, a small speed‑up was observed.

Testing was performed on an NVIDIA GeForce RTX 4090 (single GPU).

Note: ./bin/opencv_perf_stitching did not run successfully on my system even with an unmodified git checkout, so performance was evaluated using the test case from issue #26870 instead.
2025-12-03 08:51:59 +03:00
Alexander Smorkalov 2c8cfdebde Added RISC-V RVV diagnostics for PNG. 2025-12-02 10:40:01 +03:00
Galina Bykova fc7e70ef4a fix bug in approxPolyDP: calculate distance to a segment, not to a line 2025-12-01 21:22:11 +03:30
Alexander Smorkalov 54d066b89c Force 3rdparty build for CI test. 2025-12-01 17:14:08 +03:00
Alexander Smorkalov e47916120f Updated libpng to v1.6.51 and added RISC-V optimimizations. 2025-12-01 13:47:27 +03:00
Alexander Smorkalov a08565253e Merge pull request #28102 from satyam102006:fix-issue-28101
highgui: fix memory leak in CvWindow Qt backend
2025-12-01 10:50:15 +03:00
Alexander Smorkalov 6bc22ad5c3 Merge pull request #28091 from ParalYAO:fix/brisk/descriptor-calculation-pointer-bug
fix(features2d): Correct pointer arithmetic in BRISK corner traversal
2025-12-01 10:34:12 +03:00
satyam yadav fbd550438f Merge pull request #28073 from satyam102006:issue-OpenCV-to-MSMF-
catch _com_error exceptions to suppress debugger flooding #28073

Resolves: #27643

This PR fixes an issue where the Microsoft Media Foundation (MSMF) backend triggers repeated C++ exceptions (_com_error) during video capture. While these exceptions are often non-fatal "first-chance" exceptions, they cause the Visual Studio debugger to break execution repeatedly, making debugging difficulty and flooding the output window.

Changes
cap_msmf.cpp: Added try-catch blocks around critical COM interaction paths.

Updated SourceReaderCB::OnReadSample (Async callback) to catch _com_error.

Updated CvCapture_MSMF::grabFrame (Synchronous grab) to catch _com_error.

Added CV_LOG_WARNING to log the error message from the caught exception, ensuring that actual errors are still visible in the logs without crashing the application or halting the debugger.

Impact
Users debugging OpenCV applications on Windows with Visual Studio will no longer be interrupted by internal MSMF exceptions when using the default backend.

The application flow remains uninterrupted even if MSMF encounters transient internal errors.
2025-12-01 09:07:08 +03:00
satyam yadav be607ce6c8 memory leak 2025-11-30 17:57:21 +05:30
Alexander Smorkalov 1c712fe2ff Merge pull request #28093 from AKash-A007:fix-pytest-cov-warnings-27867
python: fix pytest-cov false warnings by compiling config scripts with full path (#27867)
2025-11-28 13:21:35 +03:00
Ghazi-raad 47a6419290 Merge pull request #28086 from Ghazi-raad:fix/aravis-default-pixel-format-26523
fix: set default pixel format for Aravis cameras when unsupported format #28086

Fixes #26523

This PR fixes an issue where Aravis VideoCapture returns empty frames when the camera's pixel format is not explicitly set via CAP_PROP_FOURCC.

Problem:

The Aravis backend's retrieveFrame() function only processes four specific pixel formats:
- ARV_PIXEL_FORMAT_MONO_8
- ARV_PIXEL_FORMAT_BAYER_GR_8
- ARV_PIXEL_FORMAT_MONO_12
- ARV_PIXEL_FORMAT_MONO_16

If the camera has a different pixel format configured (or the camera's default format is unsupported), retrieveFrame() returns false on line 333 and all frames appear empty. This happens even though:
- The camera opens successfully (isOpened() returns true)
- The camera is capturing data
- The user has set up autotrigger and auto-exposure correctly

Root Cause:

In open() at line 271, the code retrieves the camera's current pixel format with arv_camera_get_pixel_format(). But if this format doesn't match one of the four supported formats, there's no fallback, causing all subsequent frames to fail retrieval.

Solution:

Added a check after retrieving the camera's pixel format. If the format is not one of the four supported formats, the code now:
1. Sets pixelFormat to a sensible default (MONO_8)
2. Applies this format to the camera via arv_camera_set_pixel_format()

This ensures:
- Cameras work out-of-the-box without requiring explicit CAP_PROP_FOURCC setup
- Users can still override the format with CAP_PROP_FOURCC if needed
- Behavior matches user expectations from other camera backends (V4L2, MSMF, etc.)

The default of MONO_8 was chosen because it's the most universally supported format across USB3 Vision and GigE Vision cameras.

Changes:

modules/videoio/src/cap_aravis.cpp: Added pixel format validation and default setting (10 lines)

Testing:

With this fix:
- Cameras with unsupported default formats will automatically switch to MONO_8
- The sample code from the issue works without uncommenting the CAP_PROP_FOURCC line
- Users can still explicitly set their preferred format via CAP_PROP_FOURCC

Pull Request Readiness Checklist:

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch (4.x)
- [x] There is a reference to the original bug report and related work (issue #26523)
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      N/A - This requires specialized USB3 Vision / GigE Vision hardware not available in CI
- [x] The feature is well documented and sample code can be built with the project CMake
      The fix maintains existing API behavior and makes the backend work as expected
2025-11-28 12:40:08 +03:00
Alexander Smorkalov 329f0fddaf Merge pull request #28092 from dkurt:flatbuffers_25.9.23
Update FlatBuffers source code to 25.9.23
2025-11-28 10:54:30 +03:00
Akash Arunkumar 13210cbb1d python: fix pytest-cov false warnings by using compile() with full file path in exec_file_wrapper 2025-11-27 17:31:05 +00:00
Dmitry Kurtaev 895be753ac Update FlatBuffers source code to 25.9.23 2025-11-27 18:31:10 +03:00
Ghazi-raad 2cf9c68da0 Merge pull request #28087 from Ghazi-raad:fix/tempfile-race-condition-19648
Fix tempfile race condition on Windows (issue #19648) #28087

Fix tempfile race condition on Windows

Addresses issue #19648

Problem
The cv::tempfile() function on Windows used GetTempFileNameA() followed by an immediate DeleteFileA() call. This created a race condition where multiple OpenCV processes running simultaneously could receive the same temporary filename, leading to name collisions.

Root Cause
The previous implementation:

Called GetTempFileNameA() to generate a temp filename
Immediately deleted the file to free the name
Returned just the filename string
Between steps 2 and 3, another process could call GetTempFileNameA() and receive the same filename, causing a collision.

Solution
Replaced GetTempFileNameA() with GUID-based filename generation using CoCreateGuid(), following the same approach already used in GetTempFileNameWinRT() and Microsoft's recommendations for scenarios requiring many temp files.

Changes
modules/core/src/system.cpp:

Removed GetTempFileNameA() and DeleteFileA() calls
Added CoCreateGuid() to generate unique GUID-based filenames
Format: "ocv{GUID}" where GUID ensures uniqueness across processes
Benefits

Eliminates race condition in multi-process scenarios
No file I/O overhead from creating and deleting placeholder files
Consistent with WinRT implementation approach
Follows Microsoft best practices
Testing
Standard OpenCV test suite. The change only affects Windows temp file naming and maintains the same String return type and usage pattern.
2025-11-27 17:57:42 +03:00
Haodi Yao 29746ab963 fix(features2d): Correct pointer arithmetic in BRISK corner traversal
The pointer offset to move from top-right to bottom-right was incorrect. This change corrects the pointer calculation to use the proper row stride, ensuring it lands on the correct pixel.
2025-11-27 16:34:26 +08:00
Alexander Smorkalov 641a7aa2a6 Merge pull request #28090 from asmorkalov:as/system_aravis
Unblock system-wide installation of Aravis SDK.
2025-11-27 10:18:21 +03:00
Ghazi-raad 71c759b7cd Merge pull request #28085 from Ghazi-raad:fix/multiband-blender-memory-leak-27333
Fixed multiband blender memory leak 27333 #28085

Fixes #27333

This PR fixes a memory leak in MultiBandBlender where memory from pyramid vectors was not being released when prepare() was called multiple times or when the blender object was reused.

Problem:

MultiBandBlender retains hundreds of MB to several GB of memory even after the blender pointer is released. The issue occurs because:

1. The resize() function on std::vector does not release memory when the new size is less than or equal to the current size
2. It only adjusts the size marker while retaining the capacity and existing data
3. When prepare() is called, the pyramid vectors are resized but old data remains allocated

Example from the bug report: Blending 14 images (1920x1080) retained ~200MB after blender.release(). With larger images, several GB could be retained.

Root Cause:

GPU path (lines 254-256): Correctly calls clear() before operations
Non-GPU path (lines 285-298): Missing clear() calls, causing resize() to retain old data

Solution:

Added .clear() calls before .resize() in the non-GPU path to match the GPU path behavior. This ensures:
- Memory from previous blend operations is released in prepare()
- Reusing a blender object doesn't accumulate memory
- Behavior is consistent between GPU and non-GPU code paths

Changes:

modules/stitching/src/blenders.cpp: Added 2 clear() calls (dst_pyr_laplace_.clear() and dst_band_weights_.clear()) before resize() in the non-GPU path

Pull Request Readiness Checklist:

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch (4.x)
- [x] There is a reference to the original bug report and related work (issue #27333)
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      N/A - This is a memory management fix that doesn't affect algorithm behavior. Existing stitching tests verify correctness.
- [x] The feature is well documented and sample code can be built with the project CMake
      The fix maintains existing API behavior, no documentation changes needed
2025-11-27 09:57:21 +03:00
Alexander Smorkalov 1c2cdb1818 Unblock system-wide installation of Aravis SDK. 2025-11-27 09:38:43 +03:00
Ghazi-raad a27a13921b Fix LINE_4/LINE_8 swap in drawContours (issue #26413)
Changed condition to correctly route LINE_8 to Line() instead of Line2().

The condition 'line_type == 1 || line_type == 4' was causing LINE_8 (value 8)
to be processed by Line2() which implements 4-connectivity, and LINE_4 (value 4)
to be processed by Line() which was implementing 8-connectivity behavior. This
resulted in swapped line connectivity.

Changed to 'line_type == 1 || line_type == 8' so LINE_8 goes to Line() with
8-connectivity and LINE_4 goes to Line2() with 4-connectivity, matching the
documented behavior where LINE_4 should produce 4-connected lines and LINE_8
should produce 8-connected lines.

Fixes #26413
2025-11-26 21:41:28 +00:00
Alexander Smorkalov 4da9a518ef Merge pull request #28076 from asmorkalov:as/ubuntu_arm_update
Update ARM config label to Ubuntu 24.04.
2025-11-26 17:05:50 +03:00
Alexander Smorkalov 638f372c2e Update ARM config label to Ubuntu 24.04. 2025-11-26 16:47:13 +03:00
Anshu 166f4591d2 Merge pull request #28047 from 0AnshuAditya0:fix-pyos-fspath-memory-leak
Fix memory leak in pyopencv_to for path-like objects #28047
   
This PR fixes a memory leak in pyopencv_to when handling path-like objects (e.g., pathlib.Path).
Problem:
PyOS_FSPath() returns a new strong reference, but the code was not calling Py_XDECREF to decrement it, causing a memory leak on every call with path-like arguments.
Solution:

Store the returned reference from PyOS_FSPath() in a separate variable path_obj
Call Py_XDECREF(path_obj) on all function exit paths (both success and error paths)
This ensures proper reference counting without changing the function's behavior

Testing:
The leak can be reproduced using the steps in issue #28046 with Python built with --with-address-sanitizer. This fix ensures the reference is properly released.
Fixes #28046

Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

 ✓ I agree to contribute to the project under Apache 2 License.
 ✓ To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
 ✓ The PR is proposed to the proper branch (4.x)
 ✓ There is a reference to the original bug report and related work (#28046)
 NA There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
 ✓ The feature is well documented and sample code can be built with the project CMake
2025-11-26 12:18:42 +03:00
Dmitry Kurtaev 621ad482d6 Merge pull request #28051 from dkurt:minAreaRect_angle
Correct minAreaRect angle to be in range [-90, 0) #28051

### Pull Request Readiness Checklist

Box angle range over all imgproc tests is in interval `[-90, -0.0581199]`

resolves https://github.com/opencv/opencv/issues/27667
resolves https://github.com/opencv/opencv/issues/19472
resolves https://github.com/opencv/opencv/issues/24436

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-25 15:56:59 +03:00
Alexander Smorkalov 52a5b6c3df Merge pull request #28065 from AKash-A007:fix-avif-matrixcoeff-unspecified
imgcodecs: avif: use UNSPECIFIED matrixCoefficients instead of IDENTITY for YUV400
2025-11-25 09:19:41 +03:00
Alexander Smorkalov 09a92e811b Merge pull request #28072 from Kumataro:fix28071
imgcodecs: avif: support to encode with metadata for 1ch Mat
2025-11-25 09:19:00 +03:00
Kumataro 3c3596c6ef Merge pull request #28063 from Kumataro:fix28062
imgcodecs: Fix IMWRITE_AVIF_DEPTH typo and update AVIF details on imwrite() #28063

Close https://github.com/opencv/opencv/issues/28062

- Corrected the documentation for `IMWRITE_AVIF_DEPTH`.
- Added descriptions for the new AVIF encoder parameters in `imwrite()` documentation.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-24 10:46:12 +03:00
Alexander Smorkalov d54fb714eb Merge pull request #28067 from dimitre:4.x
typo COMPENSACTION -> COMPENSATION
2025-11-24 10:43:59 +03:00
Alexander Smorkalov 71b476b256 Merge pull request #28059 from cabelo:realsense
Just original author.
2025-11-24 09:31:28 +03:00
Kumataro 6617a7ca34 imgcodecs: avif: support metadata for 1ch Mat 2025-11-24 08:19:25 +09:00
Akash A 79cfef49ff imgcodecs: avif: set matrixCoefficients to UNSPECIFIED for monochrome images
Fixes issue with libavif >= 1.3.0 where subsampling with identity matrix
coefficients is invalid. Aligns OpenCV AVIF writer with updated libavif
conformance rules.
2025-11-23 12:13:54 +00:00
Alessandro de Oliveira Faria (A.K.A. CABELO) 76c1c60d7b Just original author. 2025-11-22 15:15:00 -03:00
Alexander Smorkalov 49607438bd Merge pull request #28048 from asmorkalov:as/stateless_hal_filtering
Improved HAL status check for filter, sepFilter and morphology operations to support stateless HAL
2025-11-22 12:41:05 +03:00
Alexander Smorkalov 79fd6d018b Merge pull request #28052 from JayPol559:fix-openblas-28049
Fix OpenBLAS detection on Fedora/RHEL: header path + threaded library selection (Issue #28049)
2025-11-22 12:39:59 +03:00
Dmytro Dadyka 6231b080ff Merge pull request #27952 from DDmytro:ecc/template-mask-rework
Add optional template mask for findTransformECC #27952

Supersedes #22997

**Summary**
Add optional template mask support to findTransformECC so that only pixels valid in both the template and the image are used in ECC. Backward compatibility is preserved (existing signatures unchanged; one new overload adds templateMask).

**Motivation**

- Real-world frames often contain moving foreground artifacts (e.g., a football over a static field). Masking the object in one frame only is insufficient because its position changes independently of the background. Since we don’t know the warp a priori, we can’t back-project a single mask across frames. The correct approach is to supply both masks and take their intersection.
- Templates may include uninformative/low-texture or noisy regions, or partial overlaps with other objects. Excluding such regions from the alignment improves robustness and convergence.

This PR completes and replaces https://github.com/opencv/opencv/pull/22997

### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-21 11:50:29 +03:00
Dmitry Kurtaev 2cc5b69fd1 Merge pull request #28043 from dkurt:d.kurtaev/convexHull_eps
Handle near-zero convexity in convexHull #28043

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/21482
closes https://github.com/opencv/opencv/issues/14401

Also skip a code that determines orientation inside rotatingCalipers and rely on the order after convexHull

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-21 10:54:38 +03:00
Adrian Kretz c0364e4e31 Merge pull request #27993 from akretz:undistortPoints_convergence
Undistort points convergence #27993

I have looked into the `undistortPoints()` problem of issue #27916 and have found a solution. The problem is, as @Linhuihang has correctly pointed out, that the fixed-point iterations do not converge. Here are the functions which are optimized for the undistortion problem:

$$
\begin{aligned}
  r^2  &= x'^2 + y'^2 \\
  f_1(x') &= \frac{1 + k_4 r^2 + k_5 r^4 + k_6 r^6}{1 + k_1 r^2 + k_2 r^4 + k_3 r^6} (x'' - 2p_1 x' y' - p_2(r^2 + 2 x'^2) - s_1 r^2 + s_2 r^4) = x' \\
  f_2(y') &=  \frac{1 + k_4 r^2 + k_5 r^4 + k_6 r^6}{1 + k_1 r^2 + k_2 r^4 + k_3 r^6} (y'' - p_1 (r^2 + 2 y'^2) - 2 p_2 x' y' - s_3 r^2 - s_4 r^4) = y'
\end{aligned}
$$

where $x', y'$ are the undistorted points we want to compute and and $x'', y''$ are the given distorted points. This problem is solved using fixed-point iterations like

$$
  x'_{k+1} = f_1(x'_k),\quad
  y'_{k+1} = f_2(y'_k)
$$

I guess the issue here is that the distortion function does not necessarily satisfy the [Banach fixed-point theorem](https://en.wikipedia.org/wiki/Banach_fixed-point_theorem), i.e. the slope of the function can be too large. This can be seen in @Linhuihang's comment https://github.com/opencv/opencv/issues/27916#issuecomment-3417883642 - the point series jumps around and doesn't converge.

A common solution is to instead do damped fixed-point iterations, so that the updates are "more smooth".

$$
  x'_{k+1} = (1 - \alpha) x'_k + \alpha f_1(x'_k),\quad
  y'_{k+1} = (1 - \alpha) y'_k + \alpha f_2(y'_k)
$$

I have implemented a simple logic which starts with $\alpha = 1$ (so just like it is now) and reduces $\alpha$ whenever the optimization error would increase. This seems reasonable to me: the initial logic is to do normal fixed-point iterations and to gradually become "more damped" when we notice that we don't converge. Perhaps there is a better way to ensure convergence, but this is the most straightforward modification to the current code that I have found.

This problem is not due to the $\tau_x, \tau_y$ parameters; it also occurs when they are zero. In fact, the fixed-point iterations are done when the tilt correction of $\tau_x, \tau_y$ has already been applied. I have added a test to reproduce the problem. This PR fixes #27916.


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-21 10:52:02 +03:00
Pierre Chatelier fdf0332954 Merge pull request #23913 from chacha21:GpuMatND_InputOutputArray
make cuda::GpuMatND compatible with InputArray/OutputArray #23913

continuation of  [PR#19259](https://github.com/opencv/opencv/pull/19259) 

Make cuda::GpuMatND wrappable in InputArray/OutputArray
The goal for now is just wrapping, some functions are not supported (InputArray::size(), InputArray::convertTo(), InputArray::assign()...)

No new feature for cuda::GpuMatND

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-21 08:41:12 +03:00
JayPol999 35f82d4599 Fix OpenBLAS detection on Fedora/RHEL (Issue #28049) 2025-11-20 23:24:55 +05:30
Alexander Smorkalov b90041b30a Merge pull request #27975 from asmorkalov:as/windows_arm_round
Use rounding intrinsic on Windows for ARM
2025-11-20 20:09:46 +03:00
Alexander Smorkalov f7d3850183 Use rounding intrinsic on Windows for ARM. 2025-11-20 18:51:59 +03:00
Alexander Smorkalov 308631197f Improved HAL status check for filter, sepFilter and morphology operations to support stateless HAL. 2025-11-20 08:55:03 +03:00
Alexander Smorkalov 8fb0b7177f Merge pull request #28040 from vrabaud:bmp
Avoid integer overflow in BmpDecoder::readData
2025-11-19 15:40:49 +03:00
Vincent Rabaud 01cce12ce7 Avoid integer overflow in BmpDecoder::readData
This solves https://g-issues.oss-fuzz.com/issues/457623761
2025-11-19 10:20:06 +01:00
Alexander Smorkalov f627368ebc Merge pull request #28029 from StefaniaHergane:hs/govbackend_update_ov_tensor_data_usage
Update usage of ov::Tensor::data in govbackend
2025-11-18 11:08:19 +03:00
Stefania Hergane 67bece1d99 Update usage of ov::Tensor::data in govbackend.cpp
Signed-off-by: StefaniaHergane <stefania-persida.hergane@intel.com>
2025-11-17 16:20:24 +00:00
Alexander Smorkalov 2a5f3980f0 Merge pull request #26480 from saolaolsson:consistent-termcriteria-for-undistortimagepoints
Make undistortImagePoints default criteria undistortPoints consistent
2025-11-17 13:35:28 +03:00
Kumataro 6f74546488 Merge pull request #27318 from Kumataro:fix27298
core: add copyAt() for ROI operation #27318

Close https://github.com/opencv/opencv/issues/27320
Close https://github.com/opencv/opencv/issues/27298

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-17 10:58:20 +03:00
Alexander Smorkalov 6d52d416e8 Merge pull request #28026 from harunresit:fix-27966-torch
Unnecessary copy of Mat object is fixed in TorchImporter
2025-11-17 10:54:51 +03:00
Anshu 8fec01d73e Merge pull request #28017 from 0AnshuAditya0:fix-audio-buffer-calculation-27969
Optimize audio buffer duration calculation in MSMF capture. Fixes #27969 #28017

### Description
Cache the repeated calculation of `(bit_per_sample/8)*nChannels` in a local variable to avoid redundant computations in `grabFrame()` and `configureAudioFrame()` functions.

### Changes
- Added `bytesPerSample` local variable in both functions
- Replaced 6 repeated calculations with the cached variable
- Improves performance in frequently called audio processing code

Fixes #27969
2025-11-17 10:52:11 +03:00
harunresit 7a0b9f35b5 Initial commit 2025-11-16 21:20:33 +01:00
Alexander Smorkalov 5bec733bfb Merge pull request #28015 from bebuch:fix-msvc-vs-2026
add MSVC 19.50 / VS 2026 / VC 18 to config: fix #28013
2025-11-16 19:25:03 +03:00
Alexander Smorkalov 42cf71285e Merge pull request #28018 from satyam102006:fix/dnn-torchimporter-pad-allocation
Update torch_importer.cpp
2025-11-16 18:47:33 +03:00
satyam yadav 27d106d574 Update torch_importer.cpp 2025-11-16 15:00:50 +03:00
Alexander Smorkalov 723bcb9a7b Merge pull request #28010 from asmorkalov:as/solve_pnp_iterative
Solve PnP iterative documentation update
2025-11-16 14:48:24 +03:00
harunresit f26d7e1bf4 Merge pull request #28014 from harunresit:fix-28002-clahe
Added BitShift option to CLAHE #28014

Briefly, this PR is the fix of https://github.com/opencv/opencv/issues/28002

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-16 14:45:50 +03:00
Alexander Smorkalov 45f37fe9c8 Merge pull request #28020 from Kumataro:fix28013_doc
Update windows_install.markdown - add set opencv path for vc18
2025-11-16 14:25:23 +03:00
Kumataro f8e5bf07af Update windows_install.markdown - add set opencv path for vc18 2025-11-16 08:45:06 +09:00
omaraziz255 3dce4fa655 Merge pull request #27943 from omaraziz255:docs/py-pip-install
docs(py): add pip-based install tutorial #27943

- New tutorial: `doc/tutorials/py_tutorials/py_setup/py_pip_install/py_pip_install.markdown` with anchor `{#tutorial_py_pip_install}`.
- Python setup TOC updated to include the new page near the top.
- Windows/Ubuntu/Fedora pages: added **Quick start (pip)** callout
- Expanded troubleshooting in the pip tutorial (env mismatch, headless GUI notes, wheel mismatches, Raspberry Pi/ARM guidance).

This aligns with the issue request to make `pip install opencv-python` the default path for Python newcomers and reduce confusion from legacy content.

Fixes #24360 
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-14 18:07:30 +03:00
Benjamin Buch 91a720144b add MSVC 19.50 / VS 2026 / VC 18 to config: fix #28013 2025-11-14 15:44:58 +01:00
Alexander Smorkalov 990d9d1a4f Solve PnP iterative documentation update 2025-11-14 11:00:48 +03:00
Alexander Smorkalov 1abc90c178 Merge pull request #27979 from ssam18:fix-reproducible-builds-27961
Fix #27961: Support reproducible builds by making host system version optional
2025-11-14 10:21:12 +03:00
Alexander Smorkalov 9dbae59760 Merge pull request #28008 from penghuiho:fix-moments-ocl
Unblocked OpenCL implementation of cv::moments
2025-11-13 18:19:41 +03:00
Alexander Smorkalov 412e6d9949 Merge pull request #28009 from vrabaud:protolite
Fix out of bounds in calibrateAndNormalizePointsPnP
2025-11-13 15:01:33 +03:00
Vincent Rabaud 49fc1dd796 Fix out of bounds in calibrateAndNormalizePointsPnP
ipoints can have 3 or 4 points.
2025-11-13 11:14:39 +01:00
Alessandro de Oliveira Faria (A.K.A.CABELO) 45d233f7bf Merge pull request #28003 from cabelo:oneapi
Building OpenCV with oneAPI #28003

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-13 10:30:35 +03:00
Dmitry Kurtaev 5c02d32cca Merge pull request #28000 from dkurt:d.kurtaev:reset_winograd_impl
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

resolves https://github.com/opencv/opencv/issues/27580

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-13 09:19:46 +03:00
penghuiho 4c1f32e716 Fix the issue of obtaining the size of the _src 2025-11-13 13:57:41 +08:00
Yuantao Feng 78adab13e9 Merge pull request #27479 from fengyuentau:4x/imgproc/boundingRect-simd
imgproc: supports CV_SIMD_SCALABLE in pointSetBoundingRect #27479

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-12 18:44:41 +03:00
Alexander Smorkalov 8f0c9ffe90 Merge pull request #27997 from VadimLevin:dev/vlevin/fix-alias-type-node-resolved-typename
fix: use export_name as resolved typename for AliasTypeNode
2025-11-12 11:31:48 +03:00
Alexander Smorkalov a31a52adef Merge pull request #27992 from asmorkalov:as/HoughLines_bias
Fixed standard HoughLines output shift for rho. #27992

Closes: https://github.com/opencv/opencv/issues/25038
Replaces: https://github.com/opencv/opencv/pull/25043

Merge with https://github.com/opencv/opencv_extra/pull/1288

The original implementation introduces systematic shift (-rho/2) for odd indexes. Integer division just gives proper rounding.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-12 11:30:14 +03:00
Vadim Levin 17ce5a290b fix: use export_name as resolved typename for AliasTypeNode
Use ctype_name as export name for AliasTypeNode if export name is not
explicitly provided.
2025-11-12 10:30:31 +03:00
Alexander Smorkalov adaa369bb1 Merge pull request #27881 from asmorkalov:as/new_windows_ci
Switch to new Windows CI pipelines.
2025-11-11 14:50:38 +03:00
victorget 3e49b6fa93 Merge pull request #27925 from intel-staging:dev/enforce_ipp_define
Added CMake define option to enforce IPP calls in IPP HAL when building with IPP integration #27925

Extra build option needed to simplify custom builds with IPP integration to ensure the IPP calls done even in cases when the results are not bitwise compliant to the reference OpenCV implementation. Option name is ```WITH_IPP_CALLS_ENFORCED```, and it is disabled by default.

Requested by some IPP customers and might be used in general as a way providing calls with better performance for the cases the aligned precision is not as important aspect.

Supposed to be used in HAL only, so added only in IPP HAL CMake, currently it affects only Warp Affine, Warp Perspective and Remap integrations since the results may vary depending on HW and algorithm implementations.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-11 13:30:47 +03:00
Alexander Smorkalov 5b2976f27b Switch to new Windows CI pipelines. 2025-11-11 13:23:28 +03:00
Alexander Smorkalov 2dd0ac3122 Merge pull request #27991 from asmorkalov:as/gapi_unrich_ctor
Fixed unrichable code with MSVC on x86 32-bit systems. #27991

Suppress the following warnings:
```
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\file_data_provider.cpp(131): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(77): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(82): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(103): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(90): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(94): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(86): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\onevpl\source.cpp(99): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\gstreamer\gstreamersource.cpp(366): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\gstreamer\gstreamersource.cpp(360): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
  Warning: C:\GHA-OCV-5\_work\opencv\opencv\opencv\modules\gapi\src\streaming\gstreamer\gstreamerpipeline.cpp(77): warning C4702: unreachable code [C:\GHA-OCV-5\_work\opencv\opencv\build\modules\gapi\opencv_gapi.vcxproj]
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-10 18:26:07 +03:00
Alexander Smorkalov 83026bfe87 Merge pull request #27990 from asmorkalov:as/power9_build_fix
Fix missing vec_cvfo on IBM POWER9 due to unavailable VSX float64 conversion #27990 

Replaces https://github.com/opencv/opencv/pull/27633
Closes https://github.com/opencv/opencv/issues/27635

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-10 12:11:24 +03:00
happy-capybara-man db207c88b0 Merge pull request #27985 from happy-capybara-man:docs/fix-mat-clone-js
docs(js): Fix Mat.clone() documentation to use mat_clone() for deep copy #27985

- Update code example to use ```mat_clone()``` instead of ```clone()```
- Add explanatory note about shallow copy issue due to Emscripten embind
Problem
- OpenCV.js documentation shows ```Mat.clone()``` usage, but this method performs shallow copy instead of deep copy due to Emscripten embind limitations, causing unexpected behavior where modifications to cloned matrices affect the original.

Related Issues and PRs
- Fixes documentation aspect of issue #27572
- Related to PR #26643 (js_clone_fix)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-10 10:47:40 +03:00
Alexander Smorkalov 64bbaa9f41 Merge pull request #27972 from asmorkalov:as/dst_mat_type
Force empty output type where it's defined in API #27972

The PR replaces:
- https://github.com/opencv/opencv/pull/27936
- https://github.com/opencv/opencv/pull/21059

Empty matrix has undefined type, so user code should not relay on the output type, if it's empty. The PR introduces some exceptions:
- copyTo documentation defines, that the method re-create output buffer and set it's type.
- convertTo has output type as parameter and output type is defined and expected.
2025-11-10 08:00:17 +03:00
Suleyman TURKMEN 386be68f93 Merge pull request #27981 from sturkmen72:fix_alpha_handling
Fix alpha handling for blending in PNG format #27981

### Pull Request Readiness Checklist

closes #27974

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-09 18:23:13 +03:00
Alexander Smorkalov 87436149a5 Merge pull request #27980 from ssam18:fix-grabcut-type-conversion-27968
Fix #27968: Eliminate unnecessary type conversions in GrabCut initGMMs
2025-11-09 17:30:07 +03:00
Alexander Smorkalov 964e23aa6c Merge pull request #27983 from Kumataro:fix27982
imgcodecs: Suppress unknown metadata type warning
2025-11-09 12:06:28 +03:00
Kumataro 3402fc1f6d imgcodecs: Suppress unknown metadata type warning 2025-11-09 09:59:55 +09:00
Samaresh Kumar Singh 603bc58d3b Fix #27968: Eliminate unnecessary type conversions in GrabCut initGMMs
Remove performance bottleneck caused by redundant type conversions in the
initGMMs() function's tight nested loops that iterate over all image pixels.

Changes:
- Changed storage vectors from Vec3f to Vec3b to store pixel data directly
  without intermediate conversion
- Modified kmeans preparation to convert Vec3b data to CV_32FC1 only when
  creating the Mat for clustering (using convertTo instead of per-pixel cast)
- Explicitly convert Vec3b to Vec3d only when calling addSample() method

Performance Impact:
Previously: Vec3b -> Vec3f (in loop) -> Vec3d (implicit in addSample)
Now: Vec3b (in loop) -> Vec3d (explicit, only in addSample call)

This eliminates one unnecessary type conversion per pixel in the tight loop,
reducing computational overhead especially for large images.

Fixes #27968
2025-11-08 13:16:01 -06:00
Samaresh Kumar Singh 7224bced8b Fix #27961: Support reproducible builds by making host system version optional
Add BUILD_INFO_SKIP_SYSTEM_VERSION option to exclude the host kernel version
from build outputs, enabling reproducible builds across systems with different
kernel versions.

Changes:
- Modified CMakeLists.txt to conditionally include CMAKE_HOST_SYSTEM_VERSION
  in the build platform status based on BUILD_INFO_SKIP_SYSTEM_VERSION flag
- Updated 3rdparty/tbb/CMakeLists.txt to set TBB_HOST_VERSION conditionally
- Modified 3rdparty/tbb/version_string.ver.cmakein to use the new variable

When BUILD_INFO_SKIP_SYSTEM_VERSION=ON is set, the host system version is
excluded from both the CMake status output and the TBB version strings,
producing identical binaries on equivalent build systems regardless of
kernel version differences.

Default behavior is unchanged (version included) for backward compatibility.

Fixes #27961
2025-11-08 09:16:11 -06:00
Ismail Abou Zeid 5fb4ce482c Merge pull request #27950 from ismailabouzeidx:feat/estimate-translation2d
[calib3d] Add estimateTranslation2D() #27950

Merge with opencv_extra PR: opencv/opencv_extra#1286

### **Description**

This PR adds a new API, `cv::estimateTranslation2D()`, to the **calib3d** module.  
It computes a **pure 2D translation** between two sets of corresponding points using robust methods (`RANSAC` and `LMedS`).  
The function mirrors the interface and behavior of `estimateAffine2D()` and `estimateAffinePartial2D()`, but constrains the transformation to translation only.

This model is particularly useful for cases where the motion between images is purely translational, such as:
- Aerial stitching and planar mosaics.  
- Image alignment in fixed-camera systems.  
- Lightweight pipelines where affine or homography models are unnecessarily complex.

The implementation introduces a new internal class `Translation2DEstimatorCallback` and integrates seamlessly into OpenCV’s existing robust estimation framework (`PointSetRegistrator`).

---

### **Key Features**
- Implements `cv::estimateTranslation2D()` in the `calib3d` module.
- Supports robust methods **RANSAC** and **LMedS**.  
- Adds accuracy and performance tests.  
- Provides full **C++ and Python bindings**.  
- Includes **Doxygen documentation** consistent with OpenCV’s standards.  
- Verified correctness across noise, outlier, and datatype variations.

---
### **Testing & Verification**

**Unit Tests** (`modules/calib3d/`)

- **Minimal sample:**  
  `test1Point` validates that a single correspondence recovers the correct translation under both **RANSAC** and **LMedS** across 500 randomized trials.  
- **Robustness to noise and outliers:**  
  `testNPoints` generates 100 correspondences, injects noise and outliers (≤40% for RANSAC, ≤50% for LMedS), and verifies that:  
  - Estimated **T** closely matches ground truth (`cvtest::norm(..., NORM_L2)`).  
  - Inlier mask consistency and correctness are maintained.  
- **Datatype conversion:**  
  `testConversion` checks mixed input datatypes (integer → float) to ensure correct conversion and consistent results.  
- **Input immutability:**  
  `dont_change_inputs` confirms that input arrays remain unchanged after function execution, mirroring affine behavior.

**Performance Tests** (`modules/calib3d/`)

- `EstimateTranslation2DPerf` benchmarks **RANSAC** and **LMedS** using:  
  - Point counts: 1000  
  - Confidence levels: 0.95  
  - Refinement iterations: 10, 0  
  
These tests confirm **numerical stability**, **performance scaling**, and **consistency** across datatypes and noise levels.

---
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch (`4.x`)
- [x] There is a clear description, motivation, and validation summary in this PR
- [x] There are accuracy and performance tests in the calib3d module
- [x] The feature is well documented and sample code can be built with CMake
- [x] The feature has Python bindings and verified documentation output
- [x] There is test data or sample code in the opencv_extra repository (if applicable)
- [ ] There is a reference to the original bug report or related issue (if applicable)
2025-11-08 17:27:54 +03:00
Alexander Smorkalov 9921531fa4 Merge pull request #27976 from asmorkalov:as/size_t_fix_win32
Fixed ptrdiff_t cast on windows 32-bit #27976

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-08 17:07:36 +03:00
Alexander Smorkalov 6862afb2c1 Merge pull request #27977 from asmorkalov:as/proper_ffmpeg_diagnostic_windows_arm
Fixed pre-built ffmpeg diagnostics on Windows for ARM. #27977

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-08 11:24:24 +03:00
sirudoi 881774d872 Merge pull request #27930 from sirudoi:4.x
Add macOS support for Orbbec Gemini330 camera #27930

### Description of Changes
Adds macOS support for Orbbec Gemini330 in videoio by integrating OrbbecSDK v2. Completes the non-macOS work in [#27230](https://github.com/opencv/opencv/pull/27230).

#### Motivation

[#27230](https://github.com/opencv/opencv/pull/27230) skipped macOS. On macOS, UVC alone lacks required device controls; OrbbecSDK v2 provides them.

#### Key Change
 - macOS: fetch/link OrbbecSDK v2.5.5 (replaces v1.9.4).
 - videoio (macOS): switch OrbbecSDK API usage from v1 to v2.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] The feature is well documented and sample code can be built with the project CMake
2025-11-07 10:36:11 +03:00
Pierre Chatelier 9fc556a83e Merge pull request #27366 from chacha21:arrowedLine_clipped
Try to fix distant points to save time when ThickLine() calls FillConvexPoly() #27366

Proposal for #27365

cv::clipLine() is useful, but one should take care of a margin to preserve line caps.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-11-07 10:34:52 +03:00
Alexander Smorkalov 426aa598e7 Merge pull request #27960 from vrabaud:protolite
Allow protobuffer message to be compiled with LITE_RUNTIME
2025-11-06 10:06:15 +03:00
Vincent Rabaud 1691a2355c Allow protobuffer message to be compiled with LITE_RUNTIME
When adding "option optimize_for = LITE_RUNTIME;" to proto
messages, they are compiled as lighter MessageLite (the base class
of Message).

Those lighter messages do not allow for reflection though:

https://developers.google.com/protocol-buffers/docs/reference/cpp-generated

This fixes https://github.com/opencv/opencv/issues/20275
2025-11-05 14:42:20 +01:00
abhijeetraj10-web 2f22bdf477 Merge pull request #27959 from abhijeetraj10-web:fix-patchNaNs-doc
Clarified supported types in cv::patchNaNs() documentation #27959

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Updated the docs for cv::patchNaNs() to specify that both CV_32F and CV_64F types are supported. Fixes incomplete information.
2025-11-05 14:42:12 +03:00
Alexander Smorkalov d3d247f1e3 Merge pull request #27962 from Tuchis:fix-fisheye-documentation
Remove mention of 'tangential lens distortion' from fisheye documentation.
2025-11-05 12:22:45 +03:00
Alexander Smorkalov ec60a98ac6 Merge pull request #27963 from vrabaud:js
Fix generation when returned class and function are in a namespace
2025-11-05 11:10:36 +03:00
Vincent Rabaud f984d3bdc7 Fix generation when returned class and function are in a namespace
This is to fix js generation at HEAD with ximgproc.
2025-11-04 11:17:29 +01:00
Vladyslav Humennyy f692304c29 Remove mention of 'tangential lens distortion' from fisheye documentation.
In `fisheye::initUndistortRectifyMap` states, that the function 'compensate radial and tangential lens distortion'. But in fact, fisheye camera model in OpenCV does not uses tangential distortion. It uses only radial distortions, with 4 distortion k_1, k_2, k_3, k_4, which all are radial. In the code of the function all of those koeficients indeed are used as radial lens distortion coefficients. Possible reason of that issue is similar documentation of pinhole camera, that as first four coefficients uses 2 radial and 2 tangential lens distortion coefficients - k_1, k_2, p_1, p_2.
2025-11-04 11:16:59 +02:00
Alexander Smorkalov 01f9bdae4c Merge pull request #27723 from fanchenkong1:fastconv-wasm-scalar-opt
DNN: Add large scalar fastconv kernel for WASM/no-SIMD build
2025-10-31 22:50:41 +03:00
Alexander Smorkalov 5c73895cba Merge pull request #27949 from cudawarped:fix_cudart_dependency
[cuda] Add cudart target to all modules which use CUDA
2025-10-31 22:43:45 +03:00
Alexander Smorkalov 3516c57c81 Merge pull request #27944 from DDmytro:ecc-sanity-update
perf(video): add sanity checks and update ECC baselines for grayscale and color inputs.
2025-10-30 22:16:27 +03:00
Alexander Smorkalov 0c10aecacd Merge pull request #27945 from MaximSmolskiy:add_comments_for_undistortPoints
Add comments for undistortPoints
2025-10-30 16:11:11 +03:00
Alexander Smorkalov c69e20a495 Merge pull request #27948 from vrabaud:c_headers
Get code to compile without FFmpeg's libavdevice
2025-10-30 16:10:13 +03:00
cudawarped 6adb985679 [cuda] Add cudart to all modules which use it 2025-10-28 17:26:13 +02:00
Alexander Smorkalov d7f6201219 Merge pull request #27939 from Kumataro:fix27938
openexr: suppress -Wnontrivial-memcall warnings
2025-10-28 13:31:03 +03:00
Vincent Rabaud 3a4a88c116 Get code to compile without FFMPEG's libavdevice 2025-10-28 10:46:47 +01:00
MaximSmolskiy 2faff661c6 Add comments for undistortPoints 2025-10-28 03:13:16 +03:00
Dmytro Dadyka 37497fa2e3 perf(video): add sanity checks and update ECC baselines for grayscale and color inputs 2025-10-28 01:35:26 +02:00
Kumataro f836f67203 openexr: suppress -Wnontrivial-memcall warnings 2025-10-26 10:01:40 +09:00
Alexander Smorkalov 52393156c8 Merge pull request #27524 from DDmytro:multichannel_ecc
Extend findTransformECC and computeECC to support multichannel input (1 or 3 channels)
2025-10-24 11:24:15 +03:00
Stefan Dragnev 12b64b0e2a Merge pull request #27927 from tailsu:tailsu/tiff-error-handler
tiff: use a per-TIFF error handler #27927

libtiff 4.5 introduced [per-TIFF error handlers](https://libtiff.gitlab.io/libtiff/functions/TIFFOpenOptions.html). This PR removes the global OpenCV error handlers and uses per-handle error handlers. This reduces any risks associated with modifying global state, e.g. if another library also tries to set the global error handlers and OpenCV clobbers them.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-10-23 13:38:10 +03:00
Alexander Smorkalov 09c893477e Merge pull request #27443 from ritamelo06:gapi-feature
feat: G-API: Custom stream sources in Python (#27276)
2025-10-21 12:59:06 +03:00
Jay Pol 47d71530a7 Merge pull request #27866 from JayPol559:4.x
Fix HDR tutorial result mismatch by adding gamma note #27866

This PR fixes #22219 by clarifying the gamma correction value in the HDR tutorial.

The function cv.createTonemap() has a default gamma value of 1.0. To match the tutorial example results, gamma should be explicitly set to 2.2. This note has been added to the Tonemap HDR image section of the tutorial.
2025-10-21 12:30:58 +03:00
Alexander Smorkalov 543e9ed010 Merge pull request #27926 from MaximSmolskiy:add_comments_for_fisheye_undistortPoints
Add comments for fisheye::undistortPoints
2025-10-21 08:16:38 +03:00
MaximSmolskiy b65d66e797 Add comments for fisheye::undistortPoints 2025-10-21 04:56:22 +03:00
Alexander Smorkalov 50cd7b8b4b Merge pull request #27923 from cudawarped:move_throw_no_cuda_to_stub
[core][cuda] Move throw_no_cuda to it an independant stub
2025-10-20 19:54:28 +03:00
Alexander Smorkalov 53a96cdc0b Merge pull request #27922 from Kumataro:fix27921
imgcodecs: GDAL: show GDAL version at OpenCV configuration
2025-10-20 16:18:58 +03:00
Alexander Smorkalov fa276bba3d Merge pull request #27919 from Kumataro:fix27830
imgcodecs: Workaround for image flipping bug in older GDAL FITS drivers
2025-10-20 15:18:25 +03:00
cudawarped ff216e8796 [core][cuda] Move throw_no_cuda to it an independant stub so it is not included in the same file that requires cudart 2025-10-20 13:10:23 +03:00
Kumataro 346308124a imgcodecs: GDAL: show GDAL version at OpenCV configuration 2025-10-20 18:37:04 +09:00
Alexander Smorkalov 11422da957 Merge pull request #27920 from MaximSmolskiy:support_qr_decomposition_for_stereoCalibrate
Support QR decomposition for stereoCalibrate
2025-10-20 09:49:12 +03:00
Alexander Smorkalov 70d69d07c8 Merge pull request #27914 from MaximSmolskiy:refactor_minEnclosingCircle
Refactor minEnclosingCircle
2025-10-20 08:40:28 +03:00
MaximSmolskiy 455720aae8 Support QR decomposition for stereoCalibrate 2025-10-19 19:34:13 +03:00
Kumataro 75f738b3d1 imgcodecs: Workaround for image flipping bug in older GDAL FITS drivers 2025-10-19 15:38:00 +09:00
Alexander Smorkalov cb8f398a87 Merge pull request #27915 from MaximSmolskiy:fix_ml_kdtree_findNearest
Fix ml::KDTree::findNearest
2025-10-17 12:01:12 +03:00
Dmitry Kurtaev f1a99760ad Merge pull request #27841 from dkurt:ffmpeg_camera
Open camera device by index through FFmpeg #27841

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/26812

Example of explicit backend option (similar to `-f v4l2` from command line)
```
export OPENCV_FFMPEG_CAPTURE_OPTIONS="f;v4l2"
```
see https://trac.ffmpeg.org/wiki/Capture/Webcam for available options

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-10-17 10:23:24 +03:00
MaximSmolskiy 98a12515fe Fix ml::KDTree::findNearest 2025-10-16 22:58:55 +03:00
MaximSmolskiy e45d07e95b Refactor minEnclosingCircle 2025-10-16 22:18:39 +03:00
Alexander Smorkalov c75cd1047b Merge pull request #27911 from Kumataro:refix26899
core: fix lut_data data type
2025-10-16 15:55:40 +03:00
s-trinh f5014c179f Merge pull request #27736 from s-trinh:use_USAC_P3P_in_solvePnP
Update Gao P3P with Ding P3P #27736

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

---

The current Gao P3P implementation does not cover all the degenerate cases, **see last line** in: https://github.com/opencv/opencv/blob/6d889ee74c94124f6492eb8f0d50946d9c31d8e9/modules/calib3d/src/p3p.cpp#L211-L221

See also:
- https://github.com/opencv/opencv/issues/4854

---

<details>

<summary>OBSOLETE</summary>

To fix this, the USAC P3P from OpenCV 5 is used instead: https://github.com/opencv/opencv/blob/7e6da007cddcf83a527dfda95d57228fa5a535d3/modules/3d/src/usac/pnp_solver.cpp#L282

---

## Some results

### Old P3P vs new

In the following video, I have tried to highlight the viewpoints which cause issues:

https://github.com/user-attachments/assets/97bec6a6-4043-4509-b50e-a9856d6423bd

| | Old P3P    | New P3P |
| -------- | ------- | ------- |
| Mean (ms)  | 0.045701 | 0.024816 |
| Median (ms) | 0.025146 | 0.023193 |
| Std (ms)    | 0.028953    | 0.006124 |

### New P3P vs AP3P

https://github.com/user-attachments/assets/eaeb21dc-3ffd-4b6c-9902-4352f824aa45

The AP3 method is superior both in term of accuracy and computation time:

| | New P3P    | AP3P |
| -------- | ------- | ------- |
| Mean (ms)  | 0.043750 | 0.023442 |
| Median (ms) | 0.023193 | 0.021484 |
| Std (ms)    | 0.039920 | 0.005265 |

### New P3P vs AP3P (range test)

https://github.com/user-attachments/assets/572e7b7a-2966-4bed-8e0c-b93d863987dc

The implemented P3P method does not work well when the tag is small, at long range.

| | New P3P    | AP3P |
| -------- | ------- | ------- |
| Mean (ms)  | 0.031351 | 0.025189 |
| Median (ms) | 0.022217 | 0.020996 |
| Std (ms)    | 0.024920 | 0.009633 |

---

- I have tried to simplify the P3P code, hope I did not break the implementation code
- calculations are performed using double type for simplicity.
- code such as the following are redundant and no more needed and should be replaced by `cv::Rodrigues`:

https://github.com/opencv/opencv/blob/6d889ee74c94124f6492eb8f0d50946d9c31d8e9/modules/calib3d/src/usac/pnp_solver.cpp#L395

</details>
2025-10-16 15:21:15 +03:00
Kumataro ec630504a7 core: fix lut_data data type 2025-10-16 21:19:12 +09:00
Alexander Smorkalov 6c009c2a14 Merge pull request #27903 from victorget:dev/ipp_hal_threading
Fixed parallel invoke for warp perspective for best performance
2025-10-16 14:55:15 +03:00
Alexander Smorkalov 703f0bb0f2 Merge pull request #27906 from asmorkalov:as/cairosvg
Use cairosvg for pattern rendering to get rid of double resize. #27906

Depends on https://github.com/opencv/ci-gha-workflow/pull/269

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-16 12:06:35 +03:00
Kumataro d0d9bd20ed Merge pull request #27890 from Kumataro:fix26899
core: support 16 bit LUT #27890

Close https://github.com/opencv/opencv/issues/26899

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-10-16 12:03:02 +03:00
Alexander Smorkalov c88b3cb11f Merge pull request #27910 from MaximSmolskiy:add_corner_cases_tests_for_minEnclosingCircle
Add corner cases tests for minEnclosingCircle
2025-10-16 10:36:42 +03:00
Alexander Smorkalov 1bf1b91a58 Merge pull request #27908 from badshah400:4.x
Fixed linking for HighGUI against Qt 6.9 and newer
2025-10-16 09:27:56 +03:00
Alexander Smorkalov 00493e603a Merge pull request #27909 from DasoTD:fix-ambiguous-rect-assignment
Fix ambiguous operator error in Rect assignment for C++ modules
2025-10-16 09:23:48 +03:00
MaximSmolskiy b4d3488b02 Add corner cases tests for minEnclosingCircle 2025-10-15 22:27:27 +03:00
xybuild da69f6748e Fix ambiguous operator error in Rect assignment for C++ modules 2025-10-15 19:15:01 +01:00
Atri Bhattacharya e7728bb27d Fixed linking for HighGUI against Qt 6.9 and newer
Use `link_libraries` instead of `add_defintions` to link against Qt 6.9
and newer to avoid un-expanded generator expressions from Qt cmake files
being appended to linker flags when building the HighGUI module.

The actual bug is likely in how Qt cmake files end up with these
un-expanded generator expressions in the first place — see discussion in
https://bugreports.qt.io/browse/QTBUG-134774 — but the recommended way
to link against the library is to use `link_libraries` anyway, so this
fix should do the trick.

Fixes issue #27223.
2025-10-15 21:49:04 +05:30
Alexander Smorkalov 563ef8ff97 Merge pull request #27904 from MaximSmolskiy:fix_minEnclosingCircle
Fix minEnclosingCircle
2025-10-15 11:00:18 +03:00
Maxim Smolskiy 8f0373816a Merge pull request #27900 from MaximSmolskiy:refactor-minEnclosingCircle-tests
Refactor minEnclosingCircle tests #27900

### Pull Request Readiness Checklist

Separate input points for tests

Before this, next input points depended on previous ones and it was not obvious which input points specific test checked

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-15 09:48:49 +03:00
MaximSmolskiy 1b09d7390f Fix minEnclosingCircle 2025-10-15 01:34:14 +03:00
Victor Getmanskiy 9e515caeac - Fixed incorrect implementation of multithreaded call for warp perspective in IPP HAL.
- Changed splitting logic to improved performance for all warp related functions in IPP HAL for multithreaded mode.
- Removed IPP 7.0 preprocessor condition from warp in IPP HAL, since unsupported.
- Added preprocessor condition to enforce IPP warp calls for custom builds.
2025-10-14 06:21:31 -07:00
Dave Merchant 0ee9c27966 Merge pull request #27810 from D00E:known-foreground-mask
2025-10-14T05:53:31.5387050Z C:\GHA-OCV-1\_work\ci-gha-workflow\ci-gha-workflow\opencv\modules\imgcodecs\src\bitstrm.cpp(156,57): warning C4244: 'argument': conversion from 'int64_t' to 'ptrdiff_t', possible loss of data [C:\GHA-OCV-1\_work\ci-gha-workflow\ci-gha-workflow\build\modules\imgcodecs\opencv_imgcodecs.vcxproj]

### Pull Request Readiness Checklist

Optional Known Foreground Mask for Background Subtractors #27810

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

### Description
This adds an optional foreground input mask parameter to the MOG2 and KNN background subtractors, in line with issue https://github.com/opencv/opencv/issues/26476

4 tests are added under test_bgfg2.cpp:
2 for each subtractor type (1 with shadow detection and 1 without)
A demo shows the feature with only 3 parameters and with a 4th optional foreground mask for both core subtractor types.

Note: To patch contrib inheritance of the background subtraction class, empty apply method which throws a not implemented error is added to contrib subclasses. This is done to keep the overloaded apply function as pure virtual. Contrib PR to be made and linked shortly.  
Contrib Repo Paired Pull Request: https://github.com/opencv/opencv_contrib/pull/4017
2025-10-14 09:56:06 +03:00
Alexander Smorkalov 0a25225b76 Merge pull request #27897 from asmorkalov:as/alernative_win_arm_neon_check
Enabled fp16 conversions, but disabled NEON FP16 arithmetics on Windows for ARM for now #27897

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-13 19:40:11 +03:00
Alexander Smorkalov af49e0cc59 Merge pull request #27898 from asmorkalov:as/gapi_warning_fix_more
More warning fixes G-API on Windows
2025-10-13 18:35:06 +03:00
Alexander Smorkalov ca34212b68 More warning fixes iG-API on Windows. 2025-10-13 16:50:55 +03:00
Alexander Smorkalov bcb2f759b6 Merge pull request #27895 from asmorkalov:as/unreachible_gapi
Removed unreachible code reported by MS Visual Studio on Windows
2025-10-13 14:32:11 +03:00
Alexander Smorkalov 34aee6cb28 Removed unreachible code reported by MS Visual Studio on Windows. 2025-10-13 12:13:37 +03:00
Alexander Smorkalov 24640ec65f Merge pull request #27893 from asmorkalov:as/no_return_fix
Fixed -Wretrun-type warning in Highgui
2025-10-13 11:41:36 +03:00
Alexander Smorkalov 029c081719 Fixed -Wretrun-type warning in Highgui. 2025-10-13 10:35:00 +03:00
Maxim Smolskiy 514d362ad8 Merge pull request #27876 from MaximSmolskiy:fix_charuco_board_pattern_in_generate_pattern.py
Fix charuco_board_pattern in generate_pattern.py #27876

### Pull Request Readiness Checklist

Fix #27871 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-13 09:09:56 +03:00
Alexander Smorkalov a74374d1ed Merge pull request #27889 from Xingchen1224:4.x
fix: Refactor tuple creation in nlm.cu for fixing nvcc build…
2025-10-11 17:05:46 +03:00
xcm4 f74d481724 fix: Refactor tuple creation in NLM CUDA kernel for fixing nvcc build error 2025-10-11 14:22:27 +08:00
Alexander Smorkalov 833918781e Merge pull request #27887 from asmorkalov:as/flacky_gapi
Skip LimitedSourceInfer.ReleaseFrameAsync test in CI as it hangs sporadically
2025-10-10 15:14:36 +03:00
Alexander Smorkalov e7d046f31a Skip LimitedSourceInfer.ReleaseFrameAsync test in CI as it hangs sporadically. 2025-10-10 13:43:38 +03:00
Alexander Smorkalov 34f6c0764e Merge pull request #27883 from asmorkalov:as/win32_warning_fix
Fixed warnings produced by x86 builds on Windows.
2025-10-09 13:47:23 +03:00
Alexander Smorkalov b5e96d76eb Fixed warnings produced by x86 builds on Windows. 2025-10-09 11:54:10 +03:00
Maxim Smolskiy 75598e5377 Merge pull request #27877 from MaximSmolskiy:fix_QRCodeDetector_detectAndDecode_crash
Fix QRCodeDetector::detectAndDecode crash #27877

### Pull Request Readiness Checklist

Fix #27807 

The problem is that when we find closest points from hull, we can get same closest point for several different points

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-08 08:50:54 +03:00
Maxim Smolskiy b644754226 Merge pull request #27865 from MaximSmolskiy:fix_invalid_memory_access_in_usac
Fix invalid memory access in USAC #27865

### Pull Request Readiness Checklist

Fix #27863 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-06 15:29:44 +03:00
ashish-sriram 19c41c2936 Merge pull request #27822 from amd:fast_blur_simd
Improved blur #27822

* Perform row and column filter operations in a single pass.
* Temporary storage of intermediate results are avoided.
* Impacts 32F and 64F inputs for ksize <=5.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-06 11:00:30 +03:00
Alexander Smorkalov aeea707262 Merge pull request #27872 from dkurt:fix_camera_calibration_artifacts
Rename fields in camera calibration results
2025-10-06 09:43:00 +03:00
Dmitry Kurtaev 387afc4eb4 Rename fields in camera calibration results 2025-10-05 21:51:58 +03:00
Peter Rekdal Khan-Sunde 4e94116e7a Merge pull request #27864 from peters:patch-2
Add OPENCV_FFMPEG_SKIP_LOG_CALLBACK to preserve custom FFmpeg logging #27864 
 
OpenCV’s InternalFFMpegRegister overwrites av_log_set_callback, blocking custom FFmpeg log handlers in statically linked apps.

Add `OPENCV_FFMPEG_SKIP_LOG_CALLBACK` to let applications keep their own logging.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-04 13:24:28 +03:00
Alexander Smorkalov 14aae55450 Merge pull request #27859 from D00E:fix-psnr-cap
Updated Tutorial PSNR for identical images
2025-10-03 16:59:37 +03:00
pratham-mcw 8f3976ae97 Merge pull request #27785 from pratham-mcw:dnn-lstm-neon
dnn: added neon intrinsics implementation of fastGEMM1T function #27785

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch

- This PR improves the performance of the LSTM function on ARM64 targets.
- Added a NEON intrinsics implementation of the fastGEMM1T function and enabled its use in fully connected and recurrent layers file. 
- As a result, ARM64 now benefits from vectorized matrix–vector multiplications, leading to measurable performance improvements in the LSTM layer.
- This change is limited to ARM64 and does not affect other architectures.

**Performance impact:**
- The optimization significantly improves the performance of lstm functions on ARM64 targets.
<img width="930" height="313" alt="image" src="https://github.com/user-attachments/assets/92e251cd-dc6c-4cda-9586-acc19bf16dfd" />
2025-10-03 10:50:50 +03:00
Alexander Smorkalov bb45afec28 Merge pull request #27854 from asmorkalov:as/inRange_hal
Added inRange HAL entry point
2025-10-03 10:46:58 +03:00
Alexander Smorkalov aa939b3932 Merge pull request #27860 from asmorkalov:as/python_restored_dbg
Restored PYTHON_DEBUG_LIBRARIES in python bindings
2025-10-03 09:30:08 +03:00
Alexander Smorkalov 4f6dd148e6 Merge pull request #27861 from asmorkalov:as/dlpack_win_warnings
Warning fixes in DLpack integration on Win32
2025-10-02 12:01:54 +03:00
Alexander Smorkalov 80fef356ec Warning fixes in DLpack integration on Win32. 2025-10-02 09:12:05 +03:00
Alexander Smorkalov d5cdad7629 Restored PYTHON_DEBUG_LIBRARIES in python bindings. 2025-10-02 09:00:22 +03:00
D00E acc76304d5 Updated Tutorial PSNR for identical images 2025-10-02 00:03:28 +01:00
Alexander Smorkalov c4763279eb Added inRange HAL entry point. 2025-10-01 12:09:28 +03:00
Alexander Smorkalov e9bded6ff3 Merge pull request #27833 from asmorkalov:as/move_gen_pattern
Moved pattern generator to apps and rewrote tutorial #27833

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-01 09:42:22 +03:00
Alexander Smorkalov 7994f88ecb Merge pull request #27850 from asmorkalov:as/python_linkage_update
Dropped depricated PYTHON_DEBUG_LIBRARIES and resolved options clash with Clang
2025-10-01 09:33:16 +03:00
Alexander Smorkalov f699d3c777 Merge pull request #27849 from asmorkalov:as/webp_memory_leak
Fixed memory leak in webp backend of imgcodecs
2025-10-01 08:37:29 +03:00
Alexander Smorkalov 2ba688f23c Merge pull request #27847 from asmorkalov:as/bmp_out_of_bound
Fixed out-of-bound access during extra params handing in BMP encoder.
2025-09-30 19:42:02 +03:00
Alexander Smorkalov 9ee9a47302 Merge pull request #27851 from asmorkalov:as/gdal_version
Output GDAL library version in CMake status output.
2025-09-30 19:38:20 +03:00
Alexander Smorkalov ebb5b3037e Output GDAL library version in CMake status output. 2025-09-30 18:34:10 +03:00
Alexander Smorkalov e69eeb1558 Dropped depricated PYTHON__DEBUG_LIBRARIES and resolved options clash with Clang. 2025-09-30 12:13:34 +03:00
Alexander Smorkalov 8f3f1cd193 Fixed memory leak in webp backend of imgcodecs
WebPMuxAssemble always alloc output buffer and do not reuse provided one.
It overrites provided buffer and it's not freed in the previous version.
WebPDataClear cannot be used with shared pointer as it does not free the object memory itself.
webpFree expects void*, but not const void* that's why const cast is required here.
2025-09-30 10:57:53 +03:00
Alexander Smorkalov 9a82458c43 Fixed out-of-bound access during extra params handing in BMP encoder. 2025-09-30 08:14:38 +03:00
Alexander Smorkalov 0e88b49a53 Merge pull request #27837 from jasseeeem:qr-decode-degenerate-quadrilateral-fix
Fix to prevent QR code decoding from throwing exception on degenerate quadrilaterals
2025-09-29 10:18:18 +03:00
Muhammed Jaseem Pallikkal 5d54e90fa4 fix to prevent QR code decoding from throwing on degenerate source points 2025-09-29 00:51:14 +05:30
Alexander Smorkalov edfa999b93 Merge pull request #27828 from asmorkalov:as/js_extend
Added option to wrap opencv_contrib into JS too.
2025-09-25 23:46:44 +03:00
Alexander Smorkalov 5755d4f224 Added option to wrap opencv_contrib into JS too. 2025-09-25 17:25:04 +03:00
Alexander Smorkalov 939e58f260 Merge pull request #27825 from vrabaud:c_headers
Remove more C code
2025-09-25 16:24:00 +03:00
Vincent Rabaud b88c3dff4f Remove more C code 2025-09-25 13:31:30 +02:00
Alexander Smorkalov 659106a99d Merge pull request #27817 from Kumataro:trial27793
core: verify length check when converting from vector to InputArray
2025-09-25 13:35:11 +03:00
Timi 9282afa0c7 Merge pull request #27726 from DasoTD:fix/string-property-binding
Fix string property bindings in JS generator #27726

Fixes #27712

This PR fixes the binding generation logic in embindgen.py to correctly handle enum and string properties:
Enum properties now use binding_utils::underlying_ptr(&Class::property).
Standard string properties are bound directly with &Class::property.
Other properties continue to use the default template.

Testing:
Verified generated bindings locally to ensure the expected output for enums and strings.
2025-09-25 10:59:27 +03:00
Alexander Smorkalov 255d1d2b0c Merge pull request #27820 from undingen:speedup_charuco
Speedup ChArUco by avoiding temporary copies
2025-09-24 10:50:59 +03:00
Marius Wachtler 6f9f8f49dd Speedup ChArUco by avoiding temporary copies
This speeds up processing a 132x128 board by more than 100 times.
This methods return std::vectors<> which means lots of copies and allocations.
2025-09-23 19:33:15 -05:00
Alexander Smorkalov 6f040337e9 Merge pull request #27818 from asmorkalov:as/win_linkage_hardening
Use /safeseh for x86 32-bit only.
2025-09-23 22:15:41 +03:00
SaraKuhnert 79793e169e Merge pull request #27369 from SaraKuhnert:minEnclosingPolygon
imgproc: add minEnclosingConvexPolygon #27369

### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-23 22:14:12 +03:00
Alexander Smorkalov 3492b71dfb Merge pull request #27812 from asmorkalov:as/python_loglevel_constants
Tunned Python bindings for logging.
2025-09-23 15:58:52 +03:00
pratham-mcw 95354f044c Merge pull request #27596 from pratham-mcw:core-kmeans-loop-unroll
core: ARM64 loop unrolling in kmeans to improve Weighted Filter performance #27596

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch

- This PR improves the performance of the Weighted Filter function from the ximgproc module on Windows on ARM64.
- The optimization is achieved by unrolling two performance-critical loops in the generateCentersPP function in modules/core/src/kmeans.cpp, which is internally used by the Weighted Filter function.
- The unrolling is enabled only for ARM64 builds using #if defined(_M_ARM64) guards to preserve compatibility and maintain performance on other architectures.

**Performance Improvements:** 
- Improves execution time for Weighted Filter performance tests on ARM64 without affecting other platforms.
<img width="772" height="558" alt="image" src="https://github.com/user-attachments/assets/ae28c0af-97d3-460b-ad5a-207d3fc6936f" />
2025-09-23 15:48:10 +03:00
Alexander Smorkalov ceb197b7de Use /safeseh for x86 32-bit only. 2025-09-23 15:24:27 +03:00
Kumataro 6dbf7612f9 core: verify length check from vector to InputArray 2025-09-23 20:56:16 +09:00
Madan mohan Manokar 691b1bdc05 Merge pull request #27795 from amd:fast_gaussian_simd
Improved Gaussian Blur #27795

- Horizontal and vertical kernels of 3N131 and 5N14641 are combined for non-border(inner) regions.
- Temporary storage of intermediate results are avoided by combining the kernels.
- Further refinement of other 3N, 5N to be added later.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-09-22 17:30:28 +03:00
Alexander Smorkalov ca7f668e6a Tunned Python bindings for logging. 2025-09-22 17:21:51 +03:00
Kumataro 3c3a26b6ab Merge pull request #27811 from Kumataro:fix27789
imgcodecs: bmp: relax decoding size limit to over 1GiB #27811

Close https://github.com/opencv/opencv/issues/27789
Close https://github.com/opencv/opencv/issues/23233

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-22 11:49:47 +03:00
Kumataro 744d5ecd14 Merge pull request #27806 from Kumataro:fix27784
libtiff upgrade to version 4.7.1 #27806

close https://github.com/opencv/opencv/issues/27784

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-22 10:11:28 +03:00
Alexander Smorkalov 64bb4ad035 Merge pull request #27802 from opencv-pushbot:gitee/alalek/issue_27724
core: restore parallel name on failure attempt
2025-09-22 08:29:44 +03:00
Alexander Smorkalov a9148b88f3 Merge pull request #27808 from underdevelopedprefrontalcortex:patch-1
fix "algorighm" typo in approxPolyN docstring
2025-09-22 08:20:53 +03:00
underdevelopedprefrontalcortex 3372286c7b Update imgproc.hpp, fix "algorighm" typo in approxPolyN docstring 2025-09-20 19:29:12 -04:00
Alexander Smorkalov 89e767b0d9 Merge pull request #27787 from Kumataro:fix27783
objdetect: enable setEpsY() for QRDetectMulti
2025-09-19 17:57:12 +03:00
pratham-mcw cb659575e8 Merge pull request #27642 from pratham-mcw:perf_arm64_fast_loop_unroll
stitching: enable loop unrolling in fast.cpp to improve ARM64 performance #27642

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch


- This PR introduces an ARM64-specific performance optimization in the FAST_t function by applying loop unrolling. 
- The optimization is guarded with #if defined(_M_ARM64) to ensure it only affects ARM64 builds. 
- This optimizations lead to performance improvements in stitching module functions.

**Performance Improvements:** 

- This change significantly improved the performance on Windows ARM64 targets.
<img width="935" height="579" alt="image" src="https://github.com/user-attachments/assets/a03833d1-ac9b-408f-916b-243fd6ae2d53" />
2025-09-19 16:49:21 +03:00
pratham-mcw 15d3c56548 Merge pull request #27777 from pratham-mcw:dnn-softmax-loop-unroll
dnn: improve performance of softmax_3d with loop unrolling #27777

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch

- This PR applies loop unrolling in the softmax function.
- The change does not affect functional correctness.

**Performance Improvements**
- The optimization significantly improves the performance of softmax_3d on Windows ARM64 targets.
<img width="703" height="203" alt="image" src="https://github.com/user-attachments/assets/85997c15-f543-432c-95e5-69099d71fe71" />
2025-09-19 16:45:04 +03:00
Alexander Smorkalov 0ff1452400 Merge pull request #27781 from Kumataro:test27744
imgcodecs: add test to decode a corrupted APNG
2025-09-19 13:02:48 +03:00
Alexander Smorkalov b99c604d02 Merge pull request #27799 from asmorkalov:as/charuco_dict_offset
Added option to define Aruco index offset in pattern generator
2025-09-19 12:20:32 +03:00
Alexander Smorkalov a3814ea237 Added option to define Aruco index offset in pattern generator. 2025-09-19 11:17:21 +03:00
Alexander Alekhin 8ff2d29804 core: restore parallel name on failure attempt 2025-09-19 03:25:40 +00:00
Dimitre 3f603f3232 typo COMPENSACTION -> COMPENSATION 2025-09-18 14:52:48 -03:00
Jie Pan 5c1c39afc1 Merge pull request #27773 from jiepan-intel:wasm-optimization
dnn: Tune CONV_NR_FP32 size for WASM #27773

We can see ~20% inference time reduction on local benchmark.
The local benchmark includes face detection with res10_300x300_ssd_iter_140000_fp16.caffemodel and image classification with squeezenet.onnx .

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-17 17:24:44 +03:00
Kumataro 61705ea280 objdetect: enable setEpsY() for QRDetectMulti 2025-09-16 21:06:28 +09:00
Kumataro fac647aaeb imgcodecs: add test to decode a corrupted APNG 2025-09-13 06:46:53 +09:00
Alexander Smorkalov 5b1d325530 Merge pull request #27778 from mshabunin:fix-openblas-cmake
build: fix OpenBLAS cmake search
2025-09-12 20:50:18 +03:00
pratham-mcw a7943cef60 Merge pull request #27776 from pratham-mcw:win-arm64-agast-detect-optimization
features2d: performance optimization of detect function on Windows-ARM64 #27776

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch

- This PR improves the performance of the detect function on Windows ARM64 targets.
- Added the defined(_M_ARM64) macro in agast.cpp and agast_score.cpp files, aligning ARM64 behavior with how x64 selects internal functions for computation.
- As a result, ARM64 now executes the same internal functions as x64 where applicable, leading to measurable performance improvements in detect function.
- This changes is limited to Windows ARM64 and does not affect other architectures

**Performance impact:**
- Detect function shows improved runtime on ARM64 targets due to reuse of existing efficient computation paths.
<img width="1419" height="408" alt="image" src="https://github.com/user-attachments/assets/feab411a-d256-4bff-bec2-22b2583f63d1" />
2025-09-12 17:28:54 +03:00
hyarasi13 b7bc18670b Merge pull request #27774 from qnx-ports:qnx-4.12.0
Skip ARM assembly file on QNX #27774

This fixes build failures on QNX caused by unsupported ARM NEON assembly in arm/filter_neon.S. The QNX environment does not handle this assembly source correctly, resulting in compilation errors.

Build and test instruction for QNX:
https://github.com/qnx-ports/build-files/blob/main/ports/opencv/README.md


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-12 11:53:17 +03:00
Maksim Shabunin 6d4be10c44 build: fix OpenBLAS cmake search 2025-09-12 10:48:14 +03:00
Kumataro dac243bd26 Merge pull request #27769 from Kumataro:refix27557
Add strict validation for encoding parameters for APNG, Animation WebP #27769

Extra fix for https://github.com/opencv/opencv/issues/27557

- Fix for build errors with libspng library.
- Add strict validation for APNG.
- Add strict validation for Animation WebP.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-09-11 16:50:58 +03:00
Alexander Smorkalov 16c8308674 Merge pull request #27750 from Kumataro:fix27744
png: add setjmp() to detect libpng internal error for APNG
2025-09-11 10:23:46 +03:00
Quaylyn Rimer 1fdff6da75 Merge pull request #27620 from killerdevildog:fix-scalar-typing-issue-27528
Fix Python Scalar typing issue #27528 #27620

- Add ScalarInput and ScalarOutput types for better type safety
- ScalarInput: Union[Sequence[float], float] for function parameters
- ScalarOutput: Sequence[float] for function return values
- Keep original Scalar type for backwards compatibility (deprecated)
- Add refinement functions to apply new types to specific functions
- Functions returning scalars now use ScalarOutput (mean, sumElems, trace)
- Drawing functions now use ScalarInput for color parameters
- Resolves MyPy compatibility issues with scalar return values
- Maintains full backwards compatibility

closes #27528 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x ] The PR is proposed to the proper branch
- [x ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x ] The feature is well documented and sample code can be built with the project CMake
2025-09-10 16:47:12 +03:00
Alexander Smorkalov 1f5d695df3 Merge pull request #27767 from VadimLevin:dev/vlevin/type-hints-for-path-like-arguments
feat: add PathLike type hints for args annotated with CV_WRAP_FILE_PATH
2025-09-10 16:39:13 +03:00
Vadim Levin 1fe128f7b5 feat: add PathLike type hints for args annotated with CV_WRAP_FILE_PATH 2025-09-10 11:25:32 +03:00
Alexander Smorkalov ec015d48d6 Merge pull request #27764 from cudawarped:fix_windows_ffmpeg_preprocessor_compilation_issue
[videoio][ffmpeg] Fix Windows build error
2025-09-10 09:14:49 +03:00
Alexander Smorkalov 307442b30b Merge pull request #27762 from KAVYANSHTYAGI:typo-fixes
Fix typos in Einsum layer and G-API docs
2025-09-10 08:39:57 +03:00
cudawarped 08b84558a2 Move preprocessor directives outside of macro to avoid the following error when compiling with MSVC
D:\repos\opencv\opencv\modules\videoio\src\cap_ffmpeg_impl.hpp(1727): error C2121: '#': invalid character: possibly the result of a macro expansion
D:\repos\opencv\opencv\modules\videoio\src\cap_ffmpeg_impl.hpp(1727): error C2143: syntax error: missing ';' before 'if'
D:\repos\opencv\opencv\modules\videoio\src\cap_ffmpeg_impl.hpp(1727): error C2059: syntax error: '>='
2025-09-10 08:00:41 +03:00
Alexander Smorkalov b3f6c86d47 Merge pull request #27760 from asmorkalov:as/drop_avresample
Remove libavresample from CMake as it's not used in code.
2025-09-09 22:11:12 +03:00
Kavyansh Tyagi eed87abbcf Fix typos in Einsum layer and G-API docs 2025-09-09 23:21:14 +05:30
Alexander Smorkalov ae86b400cc Remove libavresample from CMake as it's not used in code. 2025-09-09 16:13:43 +03:00
Alexander Smorkalov efea09120b Merge pull request #27734 from cudawarped:cuda_double4_dep
[cuda] Add compatibility layer for vector types due for depreciation in CUDA 14.0
2025-09-09 14:49:48 +03:00
Alexander Smorkalov 3a21ed56e3 Merge pull request #27738 from arrzhev:fix_memoryleak_pybindings
Fix memory leaks in pybindings
2025-09-09 14:46:50 +03:00
Dmitry Kurtaev 8e0c0dc347 Merge pull request #27755 from dkurt:ffmpeg/sws_scale_frame
Optimize FFmpeg VideoCapture with swscale threads option #27755

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/21969

* Switch to `sws_scale_from` for `libswscale >= 6.4.100` (FFmpeg >= 5.0)
* Use new context init API with threads option (`libswscale >= 8.12.100`: https://github.com/FFmpeg/FFmpeg/commit/2a091d4f2ee1e367d05a6bbbe96b204257cbda87)
* Replicate `sws_getCachedContext` with threads option for `libswscale < 8.12.100`

1 hour mp4 video every frame reading
| HW | sws_scale | sws_scale_frame + 16 threads | sws_scale_frame + 24 threads (#cpus) | 
|---|---|---|---|
| Intel Core i9-12900 CPU | 45.1 sec | 25.4 sec (x1.77) | 30 sec (x1.50) | 
| NVIDIA GPU 4090 | 232 sec | 89.4 sec (x2.59) | 77 sec (x3.01) |

```
import time
import numpy as np
import os
import cv2 as cv

# os.environ["OPENCV_FFMPEG_CAPTURE_OPTIONS"] = "hwaccel;cuvid|video_codec;h264_cuvid|vsync;0"

start = time.time()
video = "test.mp4"
cap = cv.VideoCapture(video, cv.CAP_FFMPEG)
while True:
    has_frame, frame = cap.read()
    if not has_frame:
        break

print(time.time() - start)
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-09-09 14:21:18 +03:00
Alexander Smorkalov 646e94aad4 Merge pull request #27759 from uilianries:docs/update-conan-url
[docs] Update Conan URL to use official Conan Center
2025-09-09 12:10:07 +03:00
Uilian Ries 7e3550dff8 Update Conan URL to use official Conan Center
Signed-off-by: Uilian Ries <uilianries@gmail.com>
2025-09-09 09:53:08 +02:00
Kumataro 9196edd299 Merge pull request #27559 from Kumataro:fix27555
imgcodecs: bmp: support to write 32bpp BMP with BI_BITFIELDS #27559

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-09 09:23:43 +03:00
Alexander Smorkalov ee41f46b46 Merge pull request #27758 from asmorkalov:as/stitching_false_overload
Renamed templated BlocksCompensator::feed method to exclude claches with base class pure virtual method
2025-09-08 18:19:10 +03:00
Nadezhda Mizonova 9663b582a2 Merge pull request #27720 from nmizonov:fix_ipp_bilateral_tiling
Set limitation to IPP Bilateral Filter tiles number to avoid too small tiles #27720

### Pull Request Readiness Checklist

This PR fixes the following issue in Bilateral Filter tiling in IPP integration: image ROI can't be closer to the image border than the filter window radius. This issue shows itself during separation of the image to tiles for multithreaded processing. If the tile size small enough, the second tile is closer to the upper image border than the bilateral filter radius, which leads to the incorrect result. To fix this, we need a limitation to the tile size - done in this PR.

_Note: red build status looks like unrelated to the current change_

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-08 16:11:20 +03:00
Alexander Smorkalov b28d9bef1d Renamed templated BlocksCompensator::feed method to exclude claches with base class pure virtual method. 2025-09-08 14:52:58 +03:00
cudawarped 54b03cc2f8 Merge pull request #27737 from cudawarped:fix_videowriter_raw_return_code
[videoio][VideoWriter] Fix return code from CvVideoWriter_FFMPEG::writeFrame() when encapsulating encoded video #27737

Currently the return code from `CvVideoWriter_FFMPEG::writeFrame()` when `encode_video==true` (encapsulating raw encoded video) is wrong and results in the following warning implying it has been unsuccessful

> [ WARN:0@15.551] global cap_ffmpeg.cpp:198 write FFmpeg: Failed to write frame

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-08 12:34:49 +03:00
Alexander Smorkalov 2352436a61 Merge pull request #27735 from cudawarped:cuda_silence_wd4505
[cuda] Silence unreferenced function with internal linkage has been removed warnings in Windows
2025-09-08 11:03:04 +03:00
Kumataro 98a70539cc Merge pull request #27730 from Kumataro:fix27729
doc: fix doxygen warnings for imgcodecs, flann and objdetect #27730

Close https://github.com/opencv/opencv/issues/27729

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-09-08 10:35:01 +03:00
Alexander Smorkalov b52feed94d Merge pull request #27728 from MaximSmolskiy:remove_useless_variables_from_fitEllipse_tests
Remove useless variables from fitEllipse tests
2025-09-08 09:51:49 +03:00
Alexander Smorkalov 3d3e962652 Merge pull request #27745 from nina16448:fix_1
Fix typos in documentation
2025-09-08 09:51:05 +03:00
Dmitry Kurtaev 65cb3fd86c Merge pull request #27741 from dkurt:libpng_1.6.45
libpng upgrade to 1.6.45 and cICP metadata support for PNG imwrite #27741

### Pull Request Readiness Checklist

resolves #24185

libpng docs: https://www.w3.org/TR/png-3/#cICP-chunk
similar code from ffmpeg: https://github.com/FFmpeg/FFmpeg/blob/a700f0f72d1f073e5adcfbb16f4633850b0ef51c/libavcodec/pngenc.c#L452-L456

So issue #24185 can be solved by replacing `cv.imwrite` in user's code to `cv.imwriteWithMetadata`:
```python
cv.imwriteWithMetadata("frame.png", frame, [cv.IMAGE_METADATA_CICP], np.array([[9, 18, 0, 1]], np.uint8))
```
```
$ exiftool /home/d.kurtaev/opencv_build/frames_pr/image_38.png
ExifTool Version Number         : 12.76
File Name                       : image_38.png
Directory                       : /home/d.kurtaev/opencv_build/frames_pr
File Size                       : 3.8 MB
File Modification Date/Time     : 2025:09:02 20:48:22+03:00
File Access Date/Time           : 2025:09:02 20:48:22+03:00
File Inode Change Date/Time     : 2025:09:02 20:48:22+03:00
File Permissions                : -rw-r--r--
File Type                       : PNG
File Type Extension             : png
MIME Type                       : image/png
Image Width                     : 1080
Image Height                    : 1920
Bit Depth                       : 8
Color Type                      : RGB
Compression                     : Deflate/Inflate
Filter                          : Adaptive
Interlace                       : Noninterlaced
Color Primaries                 : BT.2020, BT.2100
Transfer Characteristics        : BT.2100 HLG, ARIB STD-B67
Matrix Coefficients             : Identity matrix
Video Full Range Flag           : 1
Image Size                      : 1080x1920
Megapixels                      : 2.1
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-09-08 09:49:26 +03:00
Alexander Smorkalov e22c1065ec Merge pull request #27742 from asmorkalov:as/clang21
Build fix for Clang 21.
2025-09-08 08:57:57 +03:00
Dmitry Kurtaev 443d0ae63f Merge pull request #27746 from dkurt:d.kurtaev/av_packet_side_data_get
fix: FFmpeg 8.0 support #27746

### Pull Request Readiness Checklist

related comment: https://github.com/opencv/opencv/pull/27691#discussion_r2322695640

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-09-08 08:52:56 +03:00
Kumataro d9572861d1 png: add setjmp() to detect libpng internal error 2025-09-05 20:07:56 +09:00
nina16448 92e2c67896 fix typos 2025-09-05 01:00:28 +08:00
Alexander Smorkalov f51f2f6797 Build fix for Clang 21. 2025-09-03 16:43:18 +03:00
Arsenii Rzhevskii e41ce4dbf4 Fix memory leaks in pybindings 2025-09-02 17:35:41 +02:00
cudawarped a56877a016 Silence unreferenced function with internal linkage has been removed warnings on windows
e.g.

contrib\modules\cudev\include\opencv2\cudev/ptr2d/warping.hpp(86): warning C4505: 'cv::cudev::affineMap': unreferenced function with internal linkage has been removed
contrib\modules\cudev\include\opencv2\cudev/ptr2d/warping.hpp(134): warning C4505: 'cv::cudev::perspectiveMap': unreferenced function with internal linkage has been removed
2025-09-01 16:43:04 +03:00
cudawarped ca35ed2f1c cuda: add compatibility layer for depreciated vector types 2025-09-01 13:25:50 +03:00
MaximSmolskiy 518735b509 Remove useless variables from fitEllipse tests 2025-08-30 00:42:33 +03:00
Maxim Smolskiy 6d889ee74c Merge pull request #27717 from MaximSmolskiy:improve_fitellipsedirect_tests
Improve fitEllipseDirect tests #27717

### Pull Request Readiness Checklist

Previous `fit_and_check_ellipse` implementation was very weak - it only checks that points center lies inside ellipse.
Current implementation `fit_and_check_ellipse` checks that points RMS (Root Mean Square) algebraic distance is quite small. It means that on average points are near boundary of ellipse. Because for points on ellipse algebraic distance is equal to `0` and for points that are close to boundary of ellipse is quite small

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-29 13:16:22 +03:00
Alexander Smorkalov 2ae5a1ee27 Merge pull request #27706 from kallaballa:enable_hog_with_inter_linear
HOG: stay on fast-path by using INTER_LINEAR resize when ALGO_HINT_APPROX is defined
2025-08-29 13:14:20 +03:00
Alexander Smorkalov e4a7bab00e Merge pull request #27677 from kallaballa:data_races_in_ocl_cpp2
Added source comments to mark TSAN false positives
2025-08-29 13:13:03 +03:00
Fanchen Kong bfdd7d5a10 Add large scalar kernel for fastconv 2025-08-28 15:25:06 +08:00
Alexander Smorkalov d9556920dc Merge pull request #27718 from asmorkalov:as/obj_construct_fix
Fixed Subdiv2D constructor overload.
2025-08-27 13:48:58 +03:00
Alexander Smorkalov 0e9c3b5a3b Fixed Subdiv2D constructor overload. 2025-08-27 11:37:39 +03:00
damon-spacemit ad22d482e6 Merge pull request #27378 from spacemit-com:4.x
Add canny, scharr and sobel for riscv-rvv hal. #27378

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-26 20:05:08 +03:00
Maxim Smolskiy ad560f69f4 Merge pull request #27704 from MaximSmolskiy:fix_checking_that_point_lies_inside_ellipse
Fix checking that point lies inside ellipse #27704

### Pull Request Readiness Checklist

Previous `check_pt_in_ellipse` implementation was incorrect. For points on ellipse `cv::norm(to_pt)` should be equal to `el_dist`.

I tested current implementation with following Python script:
```
import cv2
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse

def check_pt_in_ellipse(pt, el):
    center, axes, angle = ellipse
    to_pt = pt - center
    el_angle = angle * np.pi / 180
    to_pt_r_x = to_pt[0] * np.cos(-el_angle) - to_pt[1] * np.sin(-el_angle)
    to_pt_r_y = to_pt[0] * np.sin(-el_angle) + to_pt[1] * np.cos(-el_angle)
    pt_angle = np.arctan2(to_pt_r_y / axes[1], to_pt_r_x / axes[0])
    x_dist = 0.5 * axes[0] * np.cos(pt_angle)
    y_dist = 0.5 * axes[1] * np.sin(pt_angle)
    el_dist = np.sqrt(x_dist * x_dist + y_dist * y_dist)
    assert abs(np.linalg.norm(to_pt) - el_dist) < 1e-10

# TEST(Imgproc_FitEllipse_Issue_4515, accuracy) {
points = np.array([
    [327, 317],
    [328, 316],
    [329, 315],
    [330, 314],
    [331, 314],
    [332, 314],
    [333, 315],
    [333, 316],
    [333, 317],
    [333, 318],
    [333, 319],
    [333, 320],
])

ellipse = cv2.fitEllipseDirect(points)

center, axes, angle = ellipse

angle_rad = np.deg2rad(angle)
points_on_ellipse = []
for point_angle_deg in range(0, 360, 10):
    point_angle = np.deg2rad(point_angle_deg)
    point = np.array([0., 0.])
    point_x = axes[0] * 0.5 * np.cos(point_angle)
    point_y = axes[1] * 0.5 * np.sin(point_angle)
    point[0] = point_x * np.cos(angle_rad) - point_y * np.sin(angle_rad)
    point[1] = point_x * np.sin(angle_rad) + point_y * np.cos(angle_rad)
    point[0] += center[0]
    point[1] += center[1]
    points_on_ellipse.append(point)

points_on_ellipse = np.array(points_on_ellipse)

for point in points_on_ellipse:
    check_pt_in_ellipse(point, ellipse)

plt.figure(figsize=(8, 8))
plt.scatter(points[:, 0], points[:, 1], c='red', label='points')
plt.scatter(points_on_ellipse[:, 0], points_on_ellipse[:, 1], c='yellow', label='ellipse')
ellipse = Ellipse(xy=center, width=axes[0], height=axes[1], 
                  angle=angle, facecolor='none', edgecolor='b')
plt.gca().add_patch(ellipse)
plt.gca().set_aspect('equal')
plt.legend()
plt.show()
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-26 14:02:53 +03:00
Alexander Smorkalov ff9da98c7c Merge pull request #27708 from utibenkei:fix_java_wrapper_missing_vector_vector_matshape
Add Java wrapper support for List<List<MatShape>>
2025-08-26 09:42:31 +03:00
eplankin 3e404004e0 Merge pull request #27612 from eplankin:icv_update_2022.2
Update IPP integration (v2022.2.0) #27612

Please merge together with https://github.com/opencv/opencv_3rdparty/pull/102
Supported IPP version was updated to IPP 2022.2.0 for Linux and Windows.

Previous update: https://github.com/opencv/opencv/pull/27354
2025-08-25 18:14:03 +03:00
utibenkei 81b66cf972 Add Java wrapper support for List<List<MatShape>>
- Added vector_MatShape and vector_vector_MatShape to gen_dict.json
- Implemented MatShape_to_vector_MatShape, vector_MatShape_to_MatShape, MatShape_to_vector_vector_MatShape, and vector_vector_MatShape_to_MatShape conversion functions in dnn_converters.h/cpp and Converters.java
- Added testGetLayersShapes test to verify List<List<MatShape>> conversion
2025-08-25 02:09:19 +09:00
Alexander Smorkalov 7a4bd85299 Merge pull request #27705 from utibenkei:fix_java_wrapper_missing_vector_vector_mat
Add Java wrapper support for List<List<Mat>>
2025-08-24 17:16:31 +03:00
Alexander Smorkalov 86df531554 Merge pull request #27691 from asmorkalov:as/fmmpeg_8.0
FFmpeg 8.0 support.
2025-08-24 17:10:41 +03:00
kallaballa f81240f57b stay on fast-path by using INTER_LINEAR resize when ALGO_HINT_APPROX is used 2025-08-23 19:48:04 +02:00
utibenkei fb68223b5c Add Java wrapper support for List<List<Mat>>
- Added vector_vector_Mat to gen_dict.json
- Implemented Mat_to_vector_vector_Mat and vector_vector_Mat_to_Mat conversion functions in converters.h/cpp and Converters.java
- Added DnnForwardAndRetrieve.java test to verify List<List<Mat>> conversion : Reference: C++ test in modules/dnn/test/test_misc.cpp - TEST(Net, forwardAndRetrieve)
2025-08-23 04:57:34 +09:00
utibenkei 28d410cecf Merge pull request #27567 from utibenkei:fix-java-wrapper-missing-vec4i
Enable Java wrapper generation for Vec4i #27567 
 
Fixes an issue where Java wrapper generation skips methods using Vec4i.
Related PR in opencv_contrib: https://github.com/opencv/opencv_contrib/pull/3988

The root cause was the absence of Vec4i in gen_java.json, which led to important methods such as aruco.drawCharucoDiamond() and ximgproc.HoughPoint2Line() being omitted from the Java bindings.

This PR includes the following changes:

- Added Vec4i definition to gen_java.json
- Updated gen_java.py to handle jintArray-based types properly
- ~~Also adjusted jn_args and jni_var for Vec2d and Vec3d to ensure correct JNI behavior~~

The modified Java wrapper generator successfully builds and includes the expected methods using Vec4i.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-20 15:06:33 +03:00
Alexander Smorkalov 719b86bd1d Merge pull request #27682 from asmorkalov:as/ios_bindings_fix
Fixed duplicate declaration issue in Swift/ObjC bindings
2025-08-20 12:58:41 +03:00
Alexander Smorkalov 0986022bcb Merge pull request #27689 from asmorkalov:as/pyton_wrap_gridtype
Wrap cicles grid GridType as settings structure is useless without it.
2025-08-20 12:58:14 +03:00
Dmitry Kurtaev ba19416730 Merge pull request #27581 from dkurt:d.kuryaev/dlpack
### Pull Request Readiness Checklist

resolves #16295

```
docker run --gpus 0 -v ~/opencv:/opencv -v ~/opencv_contrib:/opencv_contrib -it nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04
apt-get update && apt-get install -y cmake python3-dev python3-pip python3-venv &&
python3 -m venv .venv &&
source .venv/bin/activate &&
pip install -U pip &&
pip install -U numpy &&
pip install torch --index-url https://download.pytorch.org/whl/cu128 &&
cmake \
    -DWITH_OPENCL=OFF \
    -DCMAKE_BUILD_TYPE=Release \
    -DBUILD_DOCS=OFF \
    -DWITH_CUDA=ON \
    -DOPENCV_DNN_CUDA=ON \
    -DOPENCV_EXTRA_MODULES_PATH=/opencv_contrib/modules \
    -DBUILD_LIST=ts,cudev,python3 \
    -S /opencv -B /opencv_build &&
cmake --build /opencv_build -j16
export PYTHONPATH=/opencv_build/lib/python3/:$PYTHONPATH
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-08-20 11:43:41 +03:00
Johnny 1e37d84e3a Merge pull request #27537 from johnnynunez:patch-2
Refactor Blackwell #27537

In CUDA 13:
- 10.0 is b100/b200 same for aarch64 (gb200)
- 10.3 is GB300
- 11.0 is Thor with new OpenRm driver (moves to SBSA)
- 12.0 is RTX/RTX PRO
- 12.1 is Spark GB10

Thor was moved from 10.1 to 11.0 and Spark is 12.1.
Related patch: https://github.com/pytorch/pytorch/pull/156176
2025-08-20 11:29:31 +03:00
Alexander Smorkalov 0b84a54a65 Fixed duplicate declaration issue in Swift/ObjC bindings. 2025-08-20 11:14:03 +03:00
Alexander Smorkalov 90c444abd3 FFmpeg 8.0 support. 2025-08-20 10:53:51 +03:00
Alexander Smorkalov 319e8e7a43 Wrap cicles grid GridType as settings structure is useless without it. 2025-08-20 09:06:00 +03:00
Alexander Smorkalov 32c6aee53d Merge pull request #27687 from asmorkalov:as/virtual_warn_fix
Fixed -Wunnecessary-virtual-specifier warning produced latest clang.
2025-08-20 09:03:17 +03:00
Suleyman TURKMEN d9c0ee234f Merge pull request #27679 from sturkmen72:libtiff-4.7.0
libtiff upgrade to version 4.7.0 #27679 
 
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-19 13:29:17 +03:00
Alexander Smorkalov 13a2919ec0 Fixed -Wunnecessary-virtual-specifier warning produced latest clang. 2025-08-19 12:28:15 +03:00
Alexander Smorkalov 920040d72e Merge pull request #27683 from asmorkalov:as/calib_tutorial_logic_fix
Fixed logical error in camera calibration tutorial.
2025-08-18 17:19:27 +03:00
Alexander Smorkalov 52ae1cfc29 Fixed logical error in camera calibration tutorial. 2025-08-18 13:07:09 +03:00
Alexander Smorkalov a7ff9087f9 Merge pull request #27680 from Kumataro:fix27626
add DEBUG_POSTFIX to ipphal
2025-08-18 11:57:33 +03:00
Kumataro 078563288e add DEBUG_POSTFIX to ipphal 2025-08-17 08:19:52 +09:00
Alexander Smorkalov eab6d5741a Merge pull request #27663 from asmorkalov:as/orbsensor_distortion
Expose Orbbec color camera distortion coefficients as API.
2025-08-15 15:11:47 +03:00
Aditya Jha 7a1ec54c43 Merge pull request #27641 from Ma-gi-cian:subdiv2d-rect2f-clean
Subdiv2d rect2f clean #27641

Closes https://github.com/opencv/opencv/issues/27623

Changes:

- Added Subdiv2D(Rect2f) constructor overload
- Added initDelaunay(Rect2f) method overload

- No changes to the previous implementation to keep it backward compatible
- Added tests for init and testing with edge case of extremely small coordinates

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

See original pull request at : https://github.com/opencv/opencv/pull/27631
2025-08-15 15:05:27 +03:00
Alexander Smorkalov 9909d0a7d2 Merge pull request #27675 from dkurt:4.x
Skip test_cuda_copyTo
2025-08-15 10:54:40 +03:00
Alexander Smorkalov c27f5a3905 Merge pull request #27659 from asmorkalov:as/interactive_empty_frames
Skip couple of intro frames in interactive calibration tool, if VideoCapture is opened correctly
2025-08-15 09:32:14 +03:00
kallaballa 056e761bbc added source comments to mark TSAN false positives. see: #27638 2025-08-15 01:17:54 +02:00
Dmitry Kurtaev ae4b4c210d Skip test_cuda_copyTo 2025-08-14 15:41:24 +03:00
Alexander Smorkalov 84dc1e93c5 Merge pull request #27670 from dkurt:skip_py_cuda_test
Skip test_cuda_convertTo
2025-08-14 15:13:17 +03:00
Dmitry Kurtaev fa134b95fd Skip test_cuda_convertTo 2025-08-14 11:56:31 +03:00
Alexander Smorkalov fe874b8f36 Merge pull request #27668 from cudawarped:python_loader_fix_cuda_13_path
[python][cuda] Update CUDA shared library location for CUDA Toolkit 13.0 on Windows
2025-08-14 09:52:47 +03:00
cudawarped 850919e10b [python][cuda] Update CUDA shared library location for CUDA Toolkit 13.0 2025-08-13 21:59:59 +03:00
Alexander Smorkalov a8afdee984 Merge pull request #27664 from ansh1406:fix-opencv-videoio-dshow-missing-override
videoio: add missing CV_OVERRIDE to VideoCapture_DShow::isOpened()
2025-08-13 10:02:43 +03:00
Ansh Swaroop 88fb0bad69 videoio: add missing CV_OVERRIDE to VideoCapture_DShow::isOpened()
This aligns with other virtual method declarations in cap_dshow.hpp
and silences compiler warnings (-Wsuggest-override) while improving
compile-time safety.
2025-08-13 02:28:44 +05:30
Madan mohan Manokar 2762ffe7cc Merge pull request #27433 from amd:fast_bilateral_simd
imgproc: Bilateral filter performance improvement #27433

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-12 17:50:44 +03:00
Kumataro c5bb6a014a Merge pull request #27621 from Kumataro:trial27557
Add strict validation for encoding parameters #27621

Close https://github.com/opencv/opencv/issues/27557

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-08-12 16:04:45 +03:00
Alexander Smorkalov d33999cb6e Merge pull request #27613 from kruid9403:feature/symbol-dispose-support-26157
Support Symbol.dispose for using keyword in OpenCV.js (#26157)
2025-08-12 15:53:26 +03:00
Alexander Smorkalov f4538f5020 Expose Orbbec color camera distortion coefficients as API. 2025-08-12 15:46:28 +03:00
Andrei Tamas 252403bbf2 Merge pull request #27600 from atamas19:ov_output_clamping
G-API: Implement cfgClampOutputs option to OpenVINO Params #27600

Added the option `cfgClampOutputs` to control where output clamping is performed for OpenVINO models. When enabled, output values are clamped in the PrePostProcessor stage instead of by the device or plugin. This provides a consistent and standardized clamping method across devices, helping to maintain accuracy regardless of device-specific clamping behavior.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-08-12 14:34:42 +03:00
Alexander Smorkalov a0639446cc Skip couple of intro frames in interactive calibration tool, if VideoCapture is opened correctly. 2025-08-12 13:58:28 +03:00
Alexander Smorkalov 2ecc22fe03 Merge pull request #27657 from asmorkalov:as/fast_buffer_size
Added heuristic to allocate buffer for FAST features depending on input image resolution
2025-08-12 13:29:26 +03:00
Alexander Smorkalov 84d391aac4 Added heuristic to allocate buffer for FAST features depending on input image resolution. 2025-08-12 11:07:35 +03:00
Haosonn 75d9ac3964 Merge pull request #27391 from Haosonn:pr-rvv-hal-fast
hal/riscv-rvv: implement FAST keypoint detection #27391

An implementation of FAST keypoint detection with NMS/noNMS version.

A new perf test is written, and the perf test is evaluated in two platforms: K1/K230.
Accelaration is achieved when threshold is high, however, weird stat shows that the acceleration doesn't work when threshold is low (the number of keypoint candidates is high).

K1:
```
# GCC

                             Name of Test                               scalar  rvv      rvv
                                                                                          vs
                                                                                        scalar
                                                                                      (x-factor)
detect::Fast_Params::(20, 2, false, "cv/cameracalibration/chess9.png")  22.113 23.721    0.93
detect::Fast_Params::(20, 2, false, "cv/inpaint/orig.png")              4.605  7.168     0.64
detect::Fast_Params::(20, 2, true, "cv/cameracalibration/chess9.png")   26.228 24.689    1.06
detect::Fast_Params::(20, 2, true, "cv/inpaint/orig.png")               7.134  7.561     0.94
detect::Fast_Params::(30, 2, false, "cv/cameracalibration/chess9.png")  19.488 21.407    0.91
detect::Fast_Params::(30, 2, false, "cv/inpaint/orig.png")              3.481  5.404     0.64
detect::Fast_Params::(30, 2, true, "cv/cameracalibration/chess9.png")   22.309 22.145    1.01
detect::Fast_Params::(30, 2, true, "cv/inpaint/orig.png")               4.826  5.654     0.85
detect::Fast_Params::(100, 2, false, "cv/cameracalibration/chess9.png") 14.108 8.205     1.72
detect::Fast_Params::(100, 2, false, "cv/inpaint/orig.png")             2.520  1.072     2.35
detect::Fast_Params::(100, 2, true, "cv/cameracalibration/chess9.png")  14.133 8.410     1.68
detect::Fast_Params::(100, 2, true, "cv/inpaint/orig.png")              2.556  1.097     2.33

# Clang

                             Name of Test                               scalar  rvv      rvv
                                                                                          vs
                                                                                        scalar
                                                                                      (x-factor)
detect::Fast_Params::(20, 2, false, "cv/cameracalibration/chess9.png")  25.130 23.695    1.06
detect::Fast_Params::(20, 2, false, "cv/inpaint/orig.png")              4.987  7.168     0.70
detect::Fast_Params::(20, 2, true, "cv/cameracalibration/chess9.png")   28.035 24.467    1.15
detect::Fast_Params::(20, 2, true, "cv/inpaint/orig.png")               6.760  7.503     0.90
detect::Fast_Params::(30, 2, false, "cv/cameracalibration/chess9.png")  22.954 21.373    1.07
detect::Fast_Params::(30, 2, false, "cv/inpaint/orig.png")              3.838  5.330     0.72
detect::Fast_Params::(30, 2, true, "cv/cameracalibration/chess9.png")   24.523 21.998    1.11
detect::Fast_Params::(30, 2, true, "cv/inpaint/orig.png")               4.795  5.543     0.87
detect::Fast_Params::(100, 2, false, "cv/cameracalibration/chess9.png") 16.799 8.102     2.07
detect::Fast_Params::(100, 2, false, "cv/inpaint/orig.png")             2.874  1.024     2.81
detect::Fast_Params::(100, 2, true, "cv/cameracalibration/chess9.png")  16.950 8.073     2.10
detect::Fast_Params::(100, 2, true, "cv/inpaint/orig.png")              2.899  1.027     2.82
```

K230
```
# GCC

                             Name of Test                               scalar  rvv      rvv
                                                                                          vs
                                                                                        scalar
                                                                                      (x-factor)
detect::Fast_Params::(20, 2, false, "cv/cameracalibration/chess9.png")  21.082 32.090    0.66
detect::Fast_Params::(20, 2, false, "cv/inpaint/orig.png")              4.837  9.157     0.53
detect::Fast_Params::(20, 2, true, "cv/cameracalibration/chess9.png")   25.479 33.576    0.76
detect::Fast_Params::(20, 2, true, "cv/inpaint/orig.png")               7.549  9.716     0.78
detect::Fast_Params::(30, 2, false, "cv/cameracalibration/chess9.png")  18.463 30.087    0.61
detect::Fast_Params::(30, 2, false, "cv/inpaint/orig.png")              3.716  6.544     0.57
detect::Fast_Params::(30, 2, true, "cv/cameracalibration/chess9.png")   21.548 31.374    0.69
detect::Fast_Params::(30, 2, true, "cv/inpaint/orig.png")               5.107  6.928     0.74
detect::Fast_Params::(100, 2, false, "cv/cameracalibration/chess9.png") 13.763 8.712     1.58
detect::Fast_Params::(100, 2, false, "cv/inpaint/orig.png")             2.578  1.284     2.01
detect::Fast_Params::(100, 2, true, "cv/cameracalibration/chess9.png")  13.804 8.831     1.56
detect::Fast_Params::(100, 2, true, "cv/inpaint/orig.png")              2.615  1.289     2.03

# Clang

                             Name of Test                               scalar  rvv      rvv
                                                                                          vs
                                                                                        scalar
                                                                                      (x-factor)
detect::Fast_Params::(20, 2, false, "cv/cameracalibration/chess9.png")  23.424 35.072    0.67
detect::Fast_Params::(20, 2, false, "cv/inpaint/orig.png")              5.284  10.107    0.52
detect::Fast_Params::(20, 2, true, "cv/cameracalibration/chess9.png")   26.487 35.978    0.74
detect::Fast_Params::(20, 2, true, "cv/inpaint/orig.png")               7.146  10.612    0.67
detect::Fast_Params::(30, 2, false, "cv/cameracalibration/chess9.png")  21.155 32.858    0.64
detect::Fast_Params::(30, 2, false, "cv/inpaint/orig.png")              4.101  7.153     0.57
detect::Fast_Params::(30, 2, true, "cv/cameracalibration/chess9.png")   23.321 33.505    0.70
detect::Fast_Params::(30, 2, true, "cv/inpaint/orig.png")               5.106  7.415     0.69
detect::Fast_Params::(100, 2, false, "cv/cameracalibration/chess9.png") 15.597 8.792     1.77
detect::Fast_Params::(100, 2, false, "cv/inpaint/orig.png")             2.922  1.228     2.38
detect::Fast_Params::(100, 2, true, "cv/cameracalibration/chess9.png")  15.626 8.817     1.77
detect::Fast_Params::(100, 2, true, "cv/inpaint/orig.png")              2.963  1.240     2.39
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-11 13:03:34 +03:00
Alexander Smorkalov a783a1e2d8 Merge pull request #27649 from Kumataro:fix27648
test: gif: to test GIF codec at write_gif_flags
2025-08-11 12:52:38 +03:00
jmackay2 f0888a10e8 Merge pull request #27636 from jmackay2:cuda_13
Cuda 13.0 compatibility #27636

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake


### Issue
CUDA 13 deprecated some fields, resulting in build failures with CUDA 13. This updates to use the replacement API. 
The reference to the deprecated features is here: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#id6

### Testing
This was testing by building on the following configurations:
OS: Ubuntu 24.04
CUDA: 12.9, 13.0
2025-08-11 12:15:24 +03:00
Kumataro 12efb8499d test: gif: to test GIF codec at write_gif_flags 2025-08-09 13:10:08 +09:00
Pierre Chatelier e31ff00104 Merge pull request #27599 from chacha21:drawing_stack_alloc
optimize some drawing with stack allocation #27599

Some drawings can try a stack allocation instead of a std::vector

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-07 17:19:55 +03:00
Alexander Smorkalov 03fbfc7014 Merge pull request #27577 from SamCarlberg:java/automatic-module-name
java: Set Automatic-Module-Name manifest attribute in the built JAR file
2025-08-07 17:09:45 +03:00
Alexander Smorkalov a1f1afa693 Merge pull request #27606 from 402erro:patch-1
Update grammatical error in py_intro.markdown
2025-08-07 17:06:25 +03:00
Suleyman TURKMEN 8d1ec466f0 Merge pull request #27605 from sturkmen72:perf_imgcodecs
Performance tests for writing and reading animations #27605

### Pull Request Readiness Checklist

related : https://github.com/opencv/opencv/pull/27496

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-08-07 17:04:12 +03:00
Alexander Smorkalov 29c73c1d2a Merge pull request #27628 from asmorkalov:as/grayscale_calib
Convert grayscale frames into color in interactive calibration preview
2025-08-07 16:54:54 +03:00
Alexander Smorkalov a265947356 Merge pull request #27629 from asmorkalov:as/added_orbbec_sdk_init_params
Added options to initialize Orbbec cameras with custom fps and resolution
2025-08-06 11:29:48 +03:00
Alexander Smorkalov 9f88e9ae31 Added options to initialize Orbbec cameras with custom fps and resolution. 2025-08-05 17:29:29 +03:00
Alexander Smorkalov 96fdbc58e1 Convert grayscale frames into color in nteractive calibration preview 2025-08-05 10:09:12 +03:00
Alexander Smorkalov 13846de9f6 Merge pull request #27610 from asmorkalov:as/orbbec_sdk_timestamps
Added timestamps support for Orbbec SDK backend in VideoIO.
2025-08-04 13:48:33 +03:00
Alexander Smorkalov bbd8c4cc12 Merge pull request #27622 from Kumataro:fixDocGIFisDefaultON
doc: Enable GIF support by default on documentation
2025-08-04 08:23:40 +03:00
Kumataro 243f74cc8c doc: Enable GIF support by default on documentation 2025-08-03 17:00:26 +09:00
Alexander Smorkalov 8496706216 Added timestamps support for Orbbec SDK backend in VideoIO. 2025-08-01 15:55:03 +03:00
Alexander Smorkalov 52bed3cd78 Merge pull request #27615 from Kumataro:fix27614
imgcodecs: png: adjust value range for IMWRITE_PNG_ZLIBBUFFER_SIZE
2025-08-01 13:25:10 +03:00
Alexander Smorkalov ca053bb8ab Merge pull request #27564 from inventshah:refine-calib3d-distCoeffs-py-type
fix: mark distCoeffs/R/D as optional Python type stubs for calib3d functions
2025-08-01 13:17:05 +03:00
Alexander Smorkalov dbd984a9f6 Merge pull request #27617 from asmorkalov:as/opencvai_copyright
Added OpenCV.AI copyright.
2025-08-01 09:54:53 +03:00
Alexander Smorkalov 83e352dc48 Added OpenCV.AI copyright. 2025-08-01 09:50:10 +03:00
Kumataro 1dd06eb0da imgcodecs: png: adjust value range for IMWRITE_PNG_ZLIBBUFFER_SIZE 2025-08-01 09:49:43 +09:00
Jeremy Kruid 3dec85df71 Update helpers.js to include .dlete 2025-07-31 15:40:59 -05:00
Alexander Smorkalov 8dc4ad3ff3 Merge pull request #27607 from asmorkalov:as/apple_kleidicv
KleidiCV support on Apple devices #27607

Scope:
- Disabled bitcode generation in iPhone framework by default.
- Enabled KleidiCV build for iPhone.
- Added Github Actions log tags to group per-architecture builds and format logs.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
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2025-07-31 16:05:37 +03:00
rowdha fakier fb37e14cbf Update py_intro.markdown
Changed line 69 from "Remember, we together" to "Remember, together we..."

I saw that this page encouraged us to contribute no matter how small the contribution is so I decided to "shoot my shot" as a beginner developer and fix a small grammatical error. Would be nice if I could be allowed to be recognized as a contributor with my contribution albeit pretty small, hopefully in the future, more meaningful contributions will be made! :)
2025-07-30 20:37:03 +02:00
Suleyman TURKMEN 7ab4e1bf56 Merge pull request #27583 from sturkmen72:jpeg_iccp
Jpeg Metadata (iccp and xmp) #27583

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
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to do : 

- [x] consider `m_read_options`
- [x] check if ICCP metadata is suitable to write PNG
- [x] the file `testExifOrientation_3.jpg` used in the test has an ICCP data. this data can be saved in jpg format but could not in PNG and WEBP format. Impovements to check this case with PNGEncoder and WEBPEncoder planned.
2025-07-30 12:07:49 +03:00
Alexander Smorkalov e323e05446 Merge pull request #27598 from asmorkalov:as/png_build_compat
Fixed build with libpng older than 1.5.x and reduced test memory consumption
2025-07-29 18:15:56 +03:00
Alexander Smorkalov eebb15683f Fixed build with libpng older than 1.5.x 2025-07-29 17:08:46 +03:00
Maxim Smolskiy 615ceefd0c Merge pull request #27582 from MaximSmolskiy:take_into_account_overflow_for_connected_components
Take into account overflow for connected components #27582

### Pull Request Readiness Checklist

Fix #27568 

The problem was caused by a label type overflow (`debug_example.npy` contains `92103` labels, that doesn't fit in the `CV_16U` (`unsigned short`) type). If pass `CV_32S` instead of `CV_16U` as `ltype` - everything will be calculated successfully

Added overflow detection to throw exception with a clear error message instead of strange segfault/assertion error

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
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      Patch to opencv_extra has the same branch name.
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2025-07-29 13:10:01 +03:00
Yuantao Feng 07cf36cbb0 Merge pull request #27587 from fengyuentau:4x/core/filestorage_json_support_backslash
core: support parsing back slash \ in parseKey in FileStorage (JSON) #27587

Fixes #27585 

### Pull Request Readiness Checklist

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2025-07-29 12:04:55 +03:00
Kumataro 48b75bc029 Merge pull request #27589 from Kumataro:fix27588
imgcodecs: fix Imgcodecs_Png.write_big test for spng #27589

Close #27588 

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
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- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-07-29 08:18:21 +03:00
inventshah 4ba3d472ec fix: mark distCoeffs/R/D as optional in calib3d functions 2025-07-28 09:40:07 -04:00
Alexander Smorkalov 8e20ec2f26 Merge pull request #27575 from pratham-mcw:arm64-cvround-fast-math
core: add ARM64 NEON support for cvRound in fast_math.hpp
2025-07-28 12:46:58 +03:00
Yuantao Feng 603d7ded88 Merge pull request #27579 from fengyuentau:4x/core/filestorage
core: support parsing null in json parser in FileStorage #27579

Fixes https://github.com/opencv/opencv/issues/27578

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-07-28 08:59:46 +03:00
Alexander Smorkalov 2ab4bd3405 Merge pull request #27571 from asmorkalov:as/calib_tutorial_fix
Use calibration board imperfectness correction only for the cases where it's applicable
2025-07-25 12:58:11 +03:00
Alexander Smorkalov 7835c214eb Merge pull request #27574 from asmorkalov:as/interactive_calibration_flags
More intrinsic calibration flags in integractive calibration tool
2025-07-25 12:55:38 +03:00
Alexander Smorkalov e4fabe393c More intrinsic calibration flags in integractive calibration tool. 2025-07-25 11:31:51 +03:00
Sam Carlberg 84ca221184 Set Automatic-Module-Name manifest attribute
This is a useful property for modularized libraries and applications to be able to use OpenCV

A full module-info.java file for true compatibility with the Java module system would require compiling with Java 9+ and either use a multi-release JAR (which can be tricky to maintain) or compile the entire library with Java 9+ (which would break Android consumers on older SDK versions). In the interest of causing the least disruption, only an automatic module name is set so that modular Java 9+ consumers can use OpenCV but not break anybody else.
2025-07-25 00:28:29 -04:00
Alexander Smorkalov ac9d0e0d0d Removed hack for calibration boards in samples and tutorials. 2025-07-24 11:27:20 +03:00
Alexander Smorkalov ec9b8de3fa Merge pull request #27569 from asmorkalov:as/counters_build_fix
Fixed build issue with some old GCC versions #27569

Fixes build for GCC 4.8.5 at least. Looks like the method default signature differs cross GCC versions or newer version has softer checker.

### Pull Request Readiness Checklist

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2025-07-24 11:23:21 +03:00
Suleyman TURKMEN 32bd8c9632 Merge pull request #27503 from sturkmen72:metadata
[GSOC 2025] PNG&WebP Metadata Reading Writing Improvements #27503

Merge with https://github.com/opencv/opencv_extra/pull/1271

### Pull Request Readiness Checklist

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2025-07-23 14:59:34 +03:00
pratham-mcw 6efca656b8 core: add ARM64 NEON support for cvRound in fast_math.hpp 2025-07-23 14:32:30 +05:30
Andrei Tamas 15e3cf3cc5 Merge pull request #27549 from atamas19:tensor_naming_functionality
G-API: Implement cfgEnsureNamedTensors option to OpenVINO Params #27549

Added the option cfgEnsureNamedTensors to be applied on OpenVINO models with nameless tensors. If a tensor doesn't have a name, it sets a default one. The default name is created using OpenVINO's standard `make_default_tensor_name` . `make_default_tensor_name`  had to be rewritten because it is only available in OpenVINO's dev_api.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-07-22 17:09:39 +03:00
Suleyman TURKMEN ab8a1fa280 Merge pull request #27551 from sturkmen72:png-improvements
Add enum IMWRITE_PNG_ZLIBBUFFER_SIZE #27551

### Pull Request Readiness Checklist

This patch enables users to set the internal zlib compression buffer size for PNG encoding

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
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- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-07-18 20:41:12 +03:00
Pierre Chatelier e2d87defd1 Merge pull request #27522 from chacha21:fix_cuda129_msvc
Fix compilation problems with MSVC+Cuda 12.9 #27522

fix for #27521

Actually, when ENABLE_CUDA_FIRST_CLASS_LANGUAGE is enabled, the fix it not necessary. However, even when ENABLE_CUDA_FIRST_CLASS_LANGUAGE is enabled, I have checked that the fix is harmless So I propose to keep it simple for now and enable the fix whatever the state of ENABLE_CUDA_FIRST_CLASS_LANGUAGE

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
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2025-07-18 11:24:00 +03:00
Yan Wen f54286b672 Merge pull request #27453 from MELSunny:4.x
Add Raspberry Pi 4 and 5 V4L2 Stateless HEVC Hardware Acceleration with FFmpeg #27453

This PR enables V4L2 stateless HEVC hardware acceleration for Raspberry Pi 5 within OpenCV's videoio module. It leverages FFmpeg's drm acceleration ([FFmpeg API changes](https://github.com/FFmpeg/FFmpeg/blob/ee1f79b0fa4c82da9c19328b049b593c71611402/doc/APIchanges#L1529)), significantly improving HEVC decoding performance on RPi5 for robotics and embedded vision applications.

I have a working proof-of-concept with local benchmarks showing clear gains.

Checklist Status:

Ready: License, branch (4.x), FFmpeg reference, and (linked) related issue (#27452).
Seeking Guidance: Need help with formal C++ performance/accuracy tests, opencv_extra integration, and full documentation/examples.
As a Python developer, I welcome C++ best practice feedback and assistance with testing setup.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-07-18 11:19:58 +03:00
Alexander Smorkalov 4813d1cd32 Merge pull request #27546 from asmorkalov:as/interactive_calib_backend
Added command line option to select VideoCapture backend
2025-07-16 12:02:49 +03:00
Alexander Smorkalov f59a955bea Added command line option to select VideoCapture backend. 2025-07-16 10:09:23 +03:00
Aakash Preetam 8366a2e506 Merge pull request #27525 from CodeLinaro:apreetam_7thPost
Update FastCV lib hash for Linux and Android

Updated libs PR [opencv/opencv_3rdparty#101](https://github.com/opencv/opencv_3rdparty/pull/101)
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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2025-07-16 10:01:00 +03:00
Alexander Smorkalov f734de08ca Merge pull request #27544 from inventshah:fix-detect-and-compute-py-type
fix: mark Feature2D.detectAndCompute mask as optional in Python type stubs
2025-07-15 15:07:01 +03:00
Alexander Smorkalov 1342ca2f95 Merge pull request #27545 from vrabaud:png
Replace deprecated proto2::FieldDescriptor::is_optional
2025-07-15 13:03:40 +03:00
Vincent Rabaud 61a3d7d25d Replace deprecated proto2::FieldDescriptor::is_optional
It has been marked for inlining, cf
https://github.com/protocolbuffers/protobuf/blob/930036a8cf4a489521ea78ea47510a3a6fb9d7c0/src/google/protobuf/descriptor.h#L936
2025-07-15 09:17:57 +02:00
inventshah 10ce4d406d fix: mark Feature2D.detectAndCompute mask as optional in Python type stubs 2025-07-14 21:35:58 -04:00
Kumataro 468de9b367 Merge pull request #27536 from Kumataro:fix27530
eigen: fix to get version from eigen after v3.4.0 #27536

Close https://github.com/opencv/opencv/issues/27530

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-07-14 19:09:24 +03:00
xaos-cz 69b2024a3d imgcodecs: OpenEXR multispectral read:write support (#27485)
imgcodecs: OpenEXR multispectral read/write support #27485

OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1262/

Adds capability to read and write multispectral (>4 channels) images in OpenEXR format.

### Pull Request Readiness Checklist

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2025-07-14 16:04:25 +03:00
Sachin Shah 4c024c35fb Merge pull request #27523 from inventshah:fix-set-then-get-pos
FIX: CvCapture_FFMPEG::setProperty(CAP_PROP_POS_*) followed by getProperty #27523

Partially fixes #23088 and #23472. This PR fixes `get(CAP_PROP_POS_MSEC)` calls after a `set(CAP_PROP_POS_*)` without calling `read` first.

Since `seek` calls `grabFrame` which already sets `picture_pts`, manually setting `picture_pts` anywhere else in the call stack should not be necessary (except for the special case of seeking to frame 0).

Minimal example from #23088
```cpp
for(int i = 0; i < 3; i++) cap.read(img);
printf("at: %f frames, %f msec\n", cap.get(CAP_PROP_POS_FRAMES), cap.get(CAP_PROP_POS_MSEC));

cap.set(CAP_PROP_POS_FRAMES, 3);
printf("at: %f frames, %f msec\n", cap.get(CAP_PROP_POS_FRAMES), cap.get(CAP_PROP_POS_MSEC));
```

Current
```txt
at: 3.000000 frames, 80.000000 msec
at: 3.000000 frames, 0.234375 msec
```

PR
```txt
at: 3.000000 frames, 80.000000 msec
at: 3.000000 frames, 80.000000 msec
```

It similarly helps with `CAP_PROP_POS_MSEC`:

Current
```txt
at: 3.000000 frames, 80.000000 msec
at: 2.000000 frames, 6.250000 msec
```

PR
```txt
at: 3.000000 frames, 80.000000 msec
at: 2.000000 frames, 40.000000 msec
```

Note the seek operation is still inconsistent between the `CAP_PROP_POS_*` options as mentioned by #23088, and VFR video seeking has issues discussed in #9053. For fixed-frame rate video, we could change 0.5 to 1 in `void CvCapture_FFMPEG::seek(double sec);` to align `CAP_PROP_POS_MSEC` with `CAP_PROP_POS_FRAMES`, but `CAP_POS_AVI_RATIO` and VFR video would still be broken.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-07-14 11:59:44 +03:00
Alexander Smorkalov 0a1a07d62e Merge pull request #27506 from vrabaud:avif
Fix XMP write and discarded return value.
2025-07-14 09:37:06 +03:00
Alexander Smorkalov 875c112f9a Merge pull request #27519 from ekharkov:dev/reamp
Move IPP Remap to HAL
2025-07-14 09:20:16 +03:00
Alexander Smorkalov 09309523da Merge pull request #27529 from vrabaud:png
Fix potential crashes found by fuzzer.
2025-07-14 09:17:09 +03:00
Alexander Smorkalov 824cbf51ec Merge pull request #27532 from eplankin:warp_fix
Fixed memory leak in ipp_warp function
2025-07-14 08:54:44 +03:00
eplankin 1ecdb39fde fixed memory leak in ipp_warp function 2025-07-11 10:57:36 +02:00
Vincent Rabaud deaf58689a Fix potential crashes found by fuzzer.
Namely 429429085, 429645379, 430091585
2025-07-10 15:05:56 +02:00
Dmytro Dadyka 80b7ef85dc [video][ECC] Add multichannel support and extend ECC tests and docs 2025-07-10 01:25:30 +03:00
ekharkov d19dd94dee Moved IPP remap to HAL 2025-07-08 12:31:40 +02:00
Alexander Smorkalov 9cdd525bc5 Merge pull request #27518 from ClaudioMartino:fix_hist_comp_doc
Fix: Removed '*/' from equation in histogram comparison doc
2025-07-08 11:12:26 +03:00
ClaudioMartino 3001db4776 Fix: Removed '*/' from equation in histogram comparison doc 2025-07-07 15:35:35 +02:00
Alexander Smorkalov 478040c408 Merge pull request #27516 from ClaudioMartino:norm_KL_div
New normalization in histogram comparison tutorial to use Kullback-Leibler divergence
2025-07-07 12:10:21 +03:00
Alexander Smorkalov d53531500a Merge pull request #27514 from Kumataro:fix27513
js: remove deprecated DEMANGLE_SUPPORT option
2025-07-07 09:44:39 +03:00
ClaudioMartino 6a5884c04f New normalization in histogram comparison tutorial to use KV divergence
The Kullback-Leibler divergence works with histogram that have integral = 1,
otherwise it can return negative values. The normalization of the histograms
have been changed accordingly, and all the six comparison methods have been
used in the histogram comparison tutorial.
2025-07-07 08:43:16 +02:00
Kumataro 8d426718c6 js: remove deprecated DEMANGLE_SUPPORT option 2025-07-06 08:06:20 +09:00
eplankin c48dad1d9d Merge pull request #27324 from eplankin:warp_hal_4x
* Moved IPP impl of warpAffine to HAL
Co-authored-by: victorget <victor.getmanskiy@intel.com>
2025-07-04 12:04:31 +03:00
Alexander Smorkalov d5f1a5d9e8 Merge pull request #27509 from vrabaud:videoio
Include opencv2/videoio.hpp
2025-07-04 11:59:49 +03:00
Vincent Rabaud 2d60f3c63b Fix XMP write and discarded return value. 2025-07-03 16:34:23 +02:00
Vincent Rabaud 1cdb76c8e3 Include opencv2/videoio.hpp
In my configuration with bazel, when building the Java bindings,
it is not like building C++ and including videio/videoio.hpp
triggers:
error this is a compatibility header which should not be used inside the OpenCV library
2025-07-03 13:14:48 +02:00
Alexander Smorkalov d75323f8a5 Merge branch 'release_4.12.0' into 4.x 2025-07-02 15:46:12 +03:00
Alexander Smorkalov 49486f61fb release: OpenCV 4.12.0 2025-07-02 10:54:13 +03:00
Alexander Smorkalov 6b55ae0319 Merge pull request #27504 from asmorkalov:as/optional_gdal
Made some GDAL specific tests optional
2025-07-02 10:53:47 +03:00
Alexander Smorkalov 7a0d6559c3 Made some GDAL specific tests optional. 2025-07-02 10:07:13 +03:00
Vadim Pisarevsky 66e5fce928 Merge pull request #27499 from vpisarev:image_io_with_metadata
Extend image I/O API with metadata support #27499

Covered with the PR:
* AVIF encoder can write exif, xmp, icc
* AVIF decoder can read exif
* JPEG encoder can write exif
* JPEG decoder can read exif
* PNG encoder can write exif
* PNG decoder can read exif

This PR is a sort of preamble for #27488. I suggest to merge this one first to OpenCV 4.x, then promote this change to OpenCV 5.x and then provide extra API to read and write metadata in 5.x (or maybe 4.x) in a style similar to #27488. Maybe in that PR exif packing/unpacking should be done using a separate external API. That is, metadata reading and writing can/should be done in 2 steps:

 * [1] pack and then [2] embed exif into image at the encoding stage.
 * [1] extract and then [2] unpack exif at the decoding stage.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-07-01 18:38:22 +03:00
Alexander Smorkalov 677c4ee42f Merge pull request #27492 from krikera:4.x
Add MORPH_DIAMOND support to samples and tutorials
2025-06-30 11:38:15 +03:00
Martin 43112409ef Merge pull request #26974 from klosteraner:Fix-IntersectConvexConvex
Issue 26972: Proper treatment of float values in intersectConvexConvex #26974

As outlined in https://github.com/opencv/opencv/issues/26972 the function `intersectConvexConvex()` may not work as expected in the corner case, where two polygons intersect at a corner. A concrete example is given that I added as unit test. The unit test would fail without the proposed bug fix. I recommend porting the fix to all versions.

Now concerning the fix: When digging into the implementation I found, that when the line intersections are computed, openCV currently does not apply floating point comparison syntax, but pretends that line end points are exact. Instead I replaced the formulation using the eps that is already used in another component of the function in line.277: `epx=1e-5`. IMO that is solid enough, definitely better than assuming an exact floating point comparison is possible.

As a follow up I would suggest to use a scalable eps, s.t. also cases with high floating point numbers would be less error prone. However that would need to be done in all relevant sub steps, not just the line intersection code. So for me outside the scope of this fix.



### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-28 22:06:42 +03:00
krikera 27867cc72c Add MORPH_DIAMOND support to samples and tutorials 2025-06-27 21:09:53 +05:30
Alexander Smorkalov 5ee8919139 Merge pull request #27441 from KAVYANSHTYAGI:codex/find-feature-to-add-for-library
Add Support for Diamond-Shaped Structuring Element in Morphological Operations
2025-06-27 09:39:44 +03:00
Alexander Smorkalov 3ff2ce3291 Merge pull request #27486 from asmorkalov:as/qrcode_encode_java_ub_fix
Fixed out-of-bound access issue in QR Encoder Java warappers
2025-06-27 08:17:32 +03:00
Alexander Smorkalov 64ef095314 Merge pull request #27484 from xaos-cz:cygwin_filesystem_support
filesystem support under Cygwin
2025-06-26 17:38:41 +03:00
Alexander Smorkalov d9e2b4c650 Fixed out-of-bound access issue in QR Encoder Java warappers. 2025-06-26 17:19:10 +03:00
xaos-cz 611d69aae1 filesystem support under Cygwin
add support for enabling filesystem under Cygwin environment
2025-06-26 14:45:19 +02:00
Alexander Smorkalov d2d90dd1cd Merge pull request #26354 from onuralpszr:fix/kotlin-internal-error
fix(android): Kotlin 2.0 internal error for unsafe coercions
2025-06-26 12:08:44 +03:00
Alexander Smorkalov f6697558ce Merge pull request #27483 from valgur:patch-2
system.cpp: add missing #include <exception>
2025-06-26 10:03:27 +03:00
Alexander Smorkalov 856a497209 Merge pull request #27481 from opencv-pushbot:gitee/alalek/update_ffmpeg_4.x
ffmpeg/4.x: update FFmpeg wrapper 2025.06
2025-06-26 08:26:49 +03:00
Alexander Smorkalov 117801e136 Merge pull request #27482 from mshabunin:normalize-doc
doc: added note to normalize function
2025-06-26 08:23:37 +03:00
Martin Valgur 1d45a63598 system.cpp: add missing #include <exception> 2025-06-26 07:51:04 +03:00
Maksim Shabunin 029030095c doc: added note to normalize function 2025-06-25 20:48:14 +03:00
Alexander Alekhin 2e54a1f14f videoio(test): re-enable FFmpeg tests on WIN32
- PR26800
2025-06-25 17:38:03 +00:00
Alexander Alekhin 83309580f4 ffmpeg/4.x: update FFmpeg wrapper 2025.06 2025-06-25 17:29:26 +00:00
Alexander Smorkalov e9f1da7e8e Merge pull request #27463 from asmorkalov:as/new_atomics
Switch to standard C11 atomics on android and with nvcc.
2025-06-25 15:11:08 +03:00
Alexander Smorkalov c363303d0a Merge pull request #27480 from asmorkalov:as/haveImageReader_doc
Documentaion update for haveImageReader function
2025-06-25 15:10:41 +03:00
Alexander Smorkalov 42ec439d5a Documentaion update for haveImageReader function. 2025-06-25 13:34:49 +03:00
Alexander Smorkalov 5ee1a53d1e Merge pull request #27478 from asmorkalov:as/old_python_operators_eval
Fixed ifdef logic operators evaluation with some old python versions.
2025-06-25 12:29:42 +03:00
Alexander Smorkalov 359a005d82 Merge pull request #27477 from valgur:patch-1
imgcodecs: fix a minor bug in CMake for JPEG-XL
2025-06-25 11:41:04 +03:00
Alexander Smorkalov 288471f559 Fixed ifdef logic operators evaluation with some old python versions. 2025-06-25 10:35:53 +03:00
Alexander Smorkalov 91be7d3ce6 Merge pull request #24756 from fengyuentau:more_cann_operators
dnn cann: support more operators for SAM
2025-06-25 10:01:21 +03:00
Alexander Smorkalov a55eca9fb5 Merge pull request #27475 from s-trinh:update_calib3d_doc
Reduce the size of the checkerboard_radon.png image in the doc
2025-06-25 09:15:45 +03:00
fengyuentau 77d2a5868a feat: support more cann operators 2025-06-25 04:57:01 +00:00
Martin Valgur 0fac0e760f imgcodecs: fix a minor bug in CMake for JPEG-XL
Remove a likely copy-paste error.
2025-06-24 23:33:30 +03:00
Alexander Smorkalov e392b3843e Merge pull request #27476 from s-trinh:LSD_drawSegments_avoid_exception_empty_vec
Check for empty vector to avoid throwing an exception in LineSegmentDetectorImpl::drawSegments()
2025-06-24 12:22:47 +03:00
Souriya Trinh ba70d1104f Check for empty vector to avoid throwing an exception in LineSegmentDetectorImpl::drawSegments() function. 2025-06-24 04:58:54 +02:00
Souriya Trinh 7dfd1226ce Reduce the size of the checkerboard_radon.png image in the doc. Add references to the perspective camera model figure for solvePnP and related functions for better explanation. 2025-06-24 03:55:14 +02:00
Alexander Smorkalov 6ed29bdd39 Merge pull request #27472 from asmorkalov:as/norm_table_asan
Fixed out-of-bound access to function table in cv::norm for HORM_HAMING
2025-06-23 19:26:46 +03:00
Alexander Smorkalov a122f83374 Merge pull request #27470 from asmorkalov:as/phaseCorrelate_docs
phaseCorrelate documentation improvement
2025-06-23 16:51:59 +03:00
Alexander Smorkalov c3400603d0 Fixed out-of-bound access to function table in cv::norm for HORM_HAMING. 2025-06-23 15:42:23 +03:00
Suleyman TURKMEN 4629299163 Merge pull request #27469 from sturkmen72:png-fixes
Fix for 2 channel PNGs #27469

closes #26825

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-23 12:47:21 +03:00
Alexander Smorkalov 54fe519ae0 phaseCorrelate documentation imrpovement. 2025-06-23 12:28:09 +03:00
Suleyman TURKMEN afe5b226b4 Merge pull request #27113 from sturkmen72:spng-CV_16U
Fixing imread() function 16 bit reading png problem with libspng #27113

The purpose of the PR was to load bit-exact compatible results with libspng and libpng. To test this, `Imgcodecs_Png_PngSuite `was improved. Files containing gamma correction were moved to a separate test called `Imgcodecs_Png_PngSuite_Gamma `because the logic created for the other files did not apply to those with gamma correction. As a result, libspng now works in bit-exact compatibility with libpng. The code can be refactored later.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-22 15:43:09 +03:00
cudawarped 1950c4dbb9 Merge pull request #27379 from cudawarped:fix_cuda_convertTo
cuda: Fix GpuMat::convertTo issues described in 27373 #27379

Fix https://github.com/opencv/opencv/issues/27373.

1. `GpuMat::convertTo` uses `convertToScale` due to incorrect overload.
2. There are no runtime checks to prevent the use of `CV_16U` data types in Release builds.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-06-21 16:32:31 +03:00
Alexander Smorkalov 2ffca501e7 Merge pull request #26824 from futurewasfree:fix-chAruco
Charuco detector: stop-gap measure for poor detection rate on tough perspective
2025-06-21 16:31:12 +03:00
Suleyman TURKMEN 850b686f8a Merge pull request #27127 from sturkmen72:apng_has_hidden_frame
Changes about when APNG has a hidden frame #27127

closes : #27074

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-21 10:22:10 +03:00
Alexander Smorkalov 89289ecaa5 Switch to standard C11 atomics on android and with nvcc. 2025-06-20 12:38:11 +03:00
Yuantao Feng 3259863924 Merge pull request #27368 from fengyuentau:4x/imgproc/CreateHanningWindow-simd
imgproc: vectorize cv::createHanningWindow #27368

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-20 12:00:37 +03:00
Alexander Smorkalov 7f4c89c7cc Merge pull request #27461 from fengyuentau:4x/hal/riscv-rvv/imgproc/disable_integral
hal/riscv-rvv: disable integral for now
2025-06-20 11:32:07 +03:00
xaos-cz f24f6b8d4e Merge pull request #27458 from xaos-cz:4.x
imread: GDAL multi-channel support #27458 

- tested on 30-channel FITS and 186-channel ENVI files

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-20 10:43:53 +03:00
Yuantao Feng 98ed06c339 fix: disable integral due to accuracy issue #27407 2025-06-20 15:09:21 +08:00
Suleyman TURKMEN 23d812187e Merge pull request #27457 from sturkmen72:WebP-bugfix
fix for the issue #27456 #27457 

closes #27456

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-19 21:49:21 +03:00
Alexander Smorkalov 9bb20c0174 Merge pull request #27459 from asmorkalov:update_version_4.12.0-pre
pre: OpenCV 4.12.0 (version++)
2025-06-19 15:38:56 +03:00
Sergei Nikiforov a4a253ea2b Charuco detector: stop-gap measure for poor detection rate on tough perspective
add checkMarkers flag to charucoParameters to control board verification
(post-detection)
2025-06-19 12:16:09 +02:00
Alexander Smorkalov 7cb7a6fd20 pre: OpenCV 4.12.0 (version++). 2025-06-19 11:03:59 +03:00
Alexander Smorkalov 972e135479 Merge pull request #26703 from MaximSmolskiy:fix-matchTemplate-with-mask-crash
Fix matchTemplate with mask crash
2025-06-19 10:15:33 +03:00
Dmitry Kurtaev 1c53fd3777 Merge pull request #24426 from dkurt:qrcode_eci_encoding
Consider QRCode ECI encoding #24426

### Pull Request Readiness Checklist

related: https://github.com/opencv/opencv/pull/24350#pullrequestreview-1661658421

1. Add `getEncoding` method to obtain ECI number
2. Add `detectAndDecodeBytes`, `decodeBytes`, `decodeBytesMulti`, `detectAndDecodeBytesMulti` methods in Python (return `bytes`) and Java (return `byte[]`)
3. Allow Python bytes to std::string conversion in general and add `encode(byte[] encoded_info, Mat qrcode)` in Java


    Python example with Kanji encoding:
    ```python
    img = cv.imread("test.png")
    detect = cv.QRCodeDetector()
    data, points, straight_qrcode = detect.detectAndDecodeBytes(img)
    print(data)
    print(detect.getEncoding(), cv.QRCodeEncoder_ECI_SHIFT_JIS)
    print(data.decode("shift-jis"))
    ```
    ```
    b'\x82\xb1\x82\xf1\x82\xc9\x82\xbf\x82\xcd\x90\xa2\x8aE'
    20 20
    こんにちは世界
    ```

    source: https://github.com/opencv/opencv/blob/ba4d6c859d21536f84e0328c16f4cc3e96bf3065/modules/objdetect/test/test_qrcode_encode.cpp#L332

    ![test](https://github.com/opencv/opencv/assets/25801568/0b5eefa8-918a-4c42-9acb-830f23c0ea9f)


See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-06-19 10:12:15 +03:00
eplankin 210203090e Merge pull request #27454 from eplankin:norm
Added define disabling ippiNorm_Inf_16u_C1MR #27454

Workaround for #27380. Fix will be available in the next ICV package update based on IPP 2022.2.0.
2025-06-19 08:39:28 +03:00
leopardracer bbaed6f377 Merge pull request #27455 from leopardracer:4.x
Fix Typos in Comments and Documentation #27455

Description:
This pull request corrects minor typos in comments and documentation within the codebase:
- Replaces "representitive" with "representative" in kmeans.cpp.
- Replaces "indices" with the correct spelling in a comment in main.cu.
2025-06-18 15:28:25 +03:00
Manolis Lourakis d1b4b46dc6 Merge pull request #27437 from mlourakis:4.x
Fixed bugs in orthogonalization; simplified column vectors copying #27437

This PR mirrors to OpenCV a bug fix addressed by commit [a03d34b](https://github.com/terzakig/sqpnp/commit/a03d34b641ebba2986cf457cd910218cc8d3cc8c) in SQPnP

It also fixes bugs in the orthogonalization introduced during the porting to OpenCV  and simplifies column vectors copying, eliminating double loops.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-06-17 17:11:19 +03:00
Alexander Smorkalov 0755c512e7 Merge pull request #27450 from wuwuzhijing:fix-float-conversion-warning
Fix float-conversion warnings in FLANN by using float literals
2025-06-17 16:17:51 +03:00
sight 37a3eddd53 Fix float-conversion warnings in FLANN by using float literals 2025-06-17 09:59:44 +00:00
Alexander Smorkalov 30130cdc86 Merge pull request #27448 from maximevtush:4.x
Fix Typo in Function Docstring: "Forword" → "Forward" in person_reid.py
2025-06-16 13:50:01 +03:00
Maxim Evtush f09de671be Update person_reid.py 2025-06-16 12:09:29 +03:00
Alexander Smorkalov 40e3aee3d6 Merge pull request #27447 from asmorkalov:as/kleidicv_0.5
KleidiCV update to version 0.5
2025-06-16 11:59:58 +03:00
Alexander Smorkalov c0fdb1145e KleidiCV update to version 0.5 2025-06-16 09:55:08 +03:00
fuder.eth 664230091e Merge pull request #27444 from vtjl10:4.x
Fix Typos and Improve Clarity in Documentation #27444

Description:  
This pull request addresses minor typographical errors and improves the clarity of documentation in several markdown files. Specifically:
- Corrected spelling mistakes such as "traslation" to "translation".
- Improved phrasing for better readability and understanding.
- Added references to specific setter methods in the StereoBM documentation for more detailed guidance.

These changes are limited to documentation and do not affect any code functionality.
2025-06-16 09:28:07 +03:00
Rita Melo 439b6af379 feat: G-API: Custom stream sources in Python (#27276)
Implemented:

- A C++ proxy class PythonCustomStreamSource that implements the
  IStreamSource interface. This class acts as a bridge between
  G-API’s internal streaming engine and user-defined Python
  objects. Internally, it stores a reference to a Python object
  (PyObject*) and is responsible for: calling the Python object’s
  pull() method to retrieve the next frame, calling the descr_of()
  method to obtain the frame format description, acquiring and
  releasing the Python GIL as needed, converting the returned
  numpy.ndarray into cv::Mat, and handling any exceptions or
  conversion errors with proper diagnostics.

- A Python-facing factory function, cv.gapi.wip.make_py_src(),
  which takes a Python object as an argument and wraps it into a
  cv::Ptr<IStreamSource>. Internally, this function constructs a
  PythonCustomStreamSource instance and passes the Python object to
  it. This design allows Python users to define any class that
  implements two methods: pull() and descr_of(). No subclassing or
  special decorators are required on the Python side. The user
  simply needs to implement the expected interface.

Co-authored-by: Leonor Francisco <leonor.francisco@tecnico.ulisboa.pt>
2025-06-13 14:11:20 +01:00
Alexander Smorkalov 8ffcd60538 Merge pull request #27440 from kilavvy:4.x
Fix Typo in CMakeLists.txt Comment
2025-06-13 12:58:08 +03:00
kilavvy c5ef3948cf Update CMakeLists.txt 2025-06-12 17:03:07 +02:00
Kumataro 1f674dcdb4 Merge pull request #27416 from Kumataro:fix27413
Close https://github.com/opencv/opencv/issues/27413

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-06-12 15:32:28 +03:00
eplankin 287dad8102 Merge pull request #27354 from eplankin:ipp_update22.1
Update IPP integration #27354

Please merge together with https://github.com/opencv/opencv_3rdparty/pull/96
Supported IPP version was updated to IPP 2022.1.0 for Linux and Windows. Bugs in norm() function which caused failure of sanity check in performance tests were fixed, IPP calls were enabled.

Previous update: https://github.com/opencv/opencv/pull/26463
2025-06-12 15:23:49 +03:00
Dmitry Kurtaev d750d43aa2 Merge pull request #27432 from dkurt:d.kurtaev/ipp_distTransform
Correct IPP distanceTransform results with single thread #27432

### Pull Request Readiness Checklist

resolves #24082

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-06-11 17:37:18 +03:00
leopardracer b395a2e307 Merge pull request #27434 from leopardracer:4.x
Fix Typos in Comments and Error Messages Across Multiple Files #27434
 
Description:  
This pull request corrects several typographical errors in comments and error messages in the following files:
- `samples/directx/d3d11_interop.cpp`: Fixed typo in the error message ("betweem" → "between").
- `samples/dnn/yolo_detector.cpp`: Fixed typo in a comment ("elemets" → "elements").
- `samples/winrt/ImageManipulations/MediaExtensions/OcvTransform.cpp`: Fixed typo in a comment ("peferred" → "preferred").

These changes improve code readability and maintain consistency in documentation and error reporting. No functional code was modified.
2025-06-11 16:19:05 +03:00
Kavyansh Tyagi 452882c007 Add diamond structuring element 2025-06-11 15:54:29 +05:30
Aakash Preetam fcc76c120f Merge pull request #27430 from CodeLinaro:dsp_markdown
Document Qualcomm's FastCV DSP based OpenCV Extension APIs and usage instructions #27430

This PR updates the documentation by:

- Adding a new section: Qualcomm's FastCV DSP based OpenCV Extension APIs list, detailing the OpenCV APIs under the cv::fastcv::dsp namespace and their corresponding Qualcomm's FastCV DSP accelerated implementations.

- Providing a step-by-step guide on how to use the Qualcomm's FastCV DSP APIs.

- Update resizeDown and warpAffine mappings

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2025-06-11 09:23:34 +03:00
Alexander Smorkalov 85b45656fa Merge pull request #27428 from phanirithvij:dnn-cmake-protobuf-generate
Cmake protobuf_generate_cpp deprecated use protobuf_generate
2025-06-10 16:23:13 +03:00
phanirithvij bbe2f50b5d Cmake protobuf_generate_cpp deprecated use protobuf_generate
Signed-off-by: phanirithvij <phanirithvij2000@gmail.com>
2025-06-10 18:03:32 +05:30
FleeOvernight 6b4f5b48b1 Merge pull request #27419 from FleeOvernight:fixUpdCameraId
Fixed Android setCameraIndex issue. #27419

Fixed camera switching issue on Android devices: When a device has more than two cameras, the setCameraIndex method failed to switch to non-default cameras.

Root cause: The original code only considered two default camera IDs when updating camera IDs, ignoring all others. This fix ensures all camera IDs are properly handled.

### Pull Request Readiness Checklist

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2025-06-10 15:02:39 +03:00
Dmitry Kurtaev 809090f203 Merge pull request #27421 from dkurt:dkurt-patch-1
Cover all seek directions in VideoCapture Java test #27421

### Pull Request Readiness Checklist

required for https://github.com/opencv/opencv/pull/27370

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2025-06-10 14:51:32 +03:00
Alexander Smorkalov 4b69cc53e6 Merge pull request #27422 from KAVYANSHTYAGI:codex/find-and-fix-major-repo-issue
Fix incorrect Y-coordinate sampling in drawing primitives (circle, text, ellipse)
2025-06-10 10:59:12 +03:00
Kavyansh Tyagi b13704b583 Fix coordinate generation in drawing sample 2025-06-09 23:43:34 +05:30
Kavyansh Tyagi 7ca36d9c50 Merge pull request #27408 from KAVYANSHTYAGI:Umat-vector-contructor
Deprecate copyData Parameter in UMat Construction from std::vector and Always Copy Data #27408

Overview

This PR simplifies and modernizes the construction of cv::UMat from std::vector by removing the legacy copyData parameter, always copying the data, and ensuring clearer, safer semantics. This brings UMat in line with current best practices and paves the way for the upcoming OpenCV 5.x series.

What Changed?

1. Header Documentation Update

    Removed confusing or obsolete documentation about copyData and clarified the behavior:

        Old: builds matrix from std::vector with or without copying the data

        New: builds matrix from std::vector. The data is always copied. The copyData parameter is deprecated and will be removed in OpenCV 5.0.

2. Implementation Update

    In UMat::UMat(const std::vector<_Tp>& vec, bool copyData), the copyData parameter:

        Is now ignored and marked as deprecated.

        Marked with CV_UNUSED(copyData) for backward compatibility and to avoid warnings.

    The constructor always copies the data from the input vector, regardless of the value of copyData.

    All branching logic around copyData has been removed. Any code for "not copying" was not implemented and is now dropped.

    This guarantees data safety and predictable behavior.

3. Test Added

    A new test construct_from_vector in test_umat_from_vector.cpp:

        Verifies that UMat copies the vector data, not referencing it.

        Modifies the source vector after construction to confirm that the UMat is unaffected (proving copy, not reference).

        Checks matrix shape, type, and content to ensure correctness.

Why This Change?

1. Safety and Predictability

    Always copying avoids dangling references and hard-to-debug lifetime issues with stack/heap-allocated vectors.

    Removes an undocumented, unimplemented branch (copyData=false).

2. Backward Compatibility

    The constructor signature remains for now, but the copyData parameter is marked as deprecated and ignored.

    Codebases that pass the parameter will still compile and run as before (but always copy).

3. API Clarity and Maintenance

    Documentation now matches the real implementation.

    No misleading expectations about zero-copy.

    Code is cleaner, future-proof, and easier to maintain.

4. Preparation for OpenCV 5.0

    The copyData parameter is deprecated and will be removed in OpenCV 5.x.

    Prepares users and downstream libraries for the planned change.



How This Helps OpenCV Users and Developers

    Guarantees data safety and makes behavior explicit.

    Removes legacy/ambiguous code.

    Provides a clear path to OpenCV 5.x.

    Minimizes future migration pain.

    Ensures all users see the same, reliable behavior (copy semantics).


Refer:#27409
2025-06-09 16:02:38 +03:00
Alexander Smorkalov ebfee90c30 Merge pull request #27414 from amane-ame:remap_fix
Fix RISC-V HAL Imgproc_WarpPerspective.accuracy
2025-06-09 10:35:30 +03:00
Francisco Mónica 62b36495cc Merge pull request #27153 from 03kiko:fix-videowriter-writing-colorless-images-26276
fix #26276: cv::VideoWriter fails writing colorless images #27153

When writing grayscale images (`isColor=false`), `cv::VideoWriter` failed as FFmpeg backend requires input frames to be in a grayscale format. Unlike other backends, FFmpeg doesn't perform this conversion internally and expects the input to be pre-converted. To fix this, I inserted a check in the `CvVideoWriter_FFMPEG_proxy::write` to convert input frames to grayscale when the input has more than 1 channel. If this is true, then the input is converted to a gray image using `cv::cvtColor` (with `cv::COLOR_BGR2GRAY`).
Additionally, as suggested in the issue comments, I have correctly propagated the return value of `CvVideoWriter_FFMPEG::writeFrame` back to the `CvVideoWriter_FFMPEG_proxy::write`. This return value wasn't being used, and `writeFrame` was always returning false since the FFmeg's return code `AVERROR(EAGAIN)` was mistakenly being treated as an error. Now it's handled as a signal for additional input (current input was successfully written, and a new frame should be sent. [See FFmpeg documentation for  `avcodec_receive_packet`](https://ffmpeg.org/doxygen/6.1/group__lavc__decoding.html)). A warning is displayed if  `CvVideoWriter_FFMPEG::writeFrame` returns false. Alternatively, this could be propagated back up to the user, making cv::VideoWriter::write a boolean.
Finally, I added a test case to verify if the grayscale conversion is being done correctly. 

Fixes #26276

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-06-09 10:05:02 +03:00
Dmitry Kurtaev d6864cdd22 Merge pull request #27418 from dkurt:fix_valgrind_warnings
Fix valgrind warnings in tests #27418

### Pull Request Readiness Checklist

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2025-06-09 09:23:04 +03:00
amane-ame b9cab7e4af Fix remap16s to pass Imgproc_WarpPerspective. 2025-06-08 15:09:37 +08:00
Aakash Preetam d97e926f70 Merge pull request #27403 from CodeLinaro:apreetam_6thPost
FastCV latest libs hash update #27403

Update hash for the fastcv libs for Linux

Updated libs PR: https://github.com/opencv/opencv_3rdparty/pull/97

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2025-06-06 12:27:13 +03:00
Alexander Smorkalov a503070e01 Merge pull request #27406 from asmorkalov:as/revert_android_ipp
Use older version of IPP for Android x86 32bit to resolve linkage issues
2025-06-06 10:54:13 +03:00
Alexander Smorkalov beeda17483 Merge pull request #27362 from vrabaud:tsan
Fix empty ND-array construction
2025-06-06 09:17:07 +03:00
Alexander Smorkalov 987548d041 Use older version of IPP for Android x86 32bit to resolve linkage issues. 2025-06-05 13:11:05 +03:00
Abhishek Gola aef6ae4872 Merge pull request #27396 from abhishek-gola:hdr_bug_fix
Fix NaNs in HDR Triangle Weights and Tonemapping and Update LDR Ground Truth in tutorial #27396

The PR closes #27392 

Updated the triangle weights to use a small epsilon value instead of zero to prevent NaN issues in HDR processing.
Also fixed a float-to-double division issue by explicitly casting double values to float, which was previously producing garbage values and leading to NaNs in tonemapping.

The current LDR ground truth image used in the tutorial [ldr.png](https://github.com/opencv/opencv/blob/4.x/doc/tutorials/others/images/ldr.png) was originally generated using TonemapDurand (check this commit https://github.com/opencv/opencv/commit/833f8d16fab5e57c5e800a55fa0fb08c7a31c3b1), which was moved to opencv_contrib a long time ago in this commit: https://github.com/opencv/opencv/commit/742f22c09bd0c27b450f141bc984f280c8cde98e. However, the current Tonemap implementation in OpenCV main only performs normalization and gamma correction, which produces noticeably different results. This PR updates the LDR grouth truth image in tutorial with the result of TonemapDrago, and tutorials to use TonemapDrago as Tonemap gives a darker image.

Tonemap output:
![ldr2](https://github.com/user-attachments/assets/e4f0cb97-ee4f-47b9-8962-2020ff211fd5)

TonemapDrago output:
![ldr](https://github.com/user-attachments/assets/4a898101-22bd-49e5-8db0-9e1062974ba3)


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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-06-05 09:02:58 +03:00
Alexander Smorkalov 9e18169959 Merge pull request #27355 from asmorkalov:as/gapi_control_msmf
Check MS Media Foundation availability in G-API too #27355

Tries to address https://github.com/opencv/opencv-python/issues/771

### Pull Request Readiness Checklist

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2025-06-04 16:30:50 +03:00
Alexander Smorkalov a2c381a82b Merge pull request #27398 from asmorkalov:as/relax_remap_relative
Relax remap relative test to handle the case when HAL implements not all remap options
2025-06-04 16:29:21 +03:00
s-trinh e258f2595e Merge pull request #26299 from s-trinh:feat/getClosestEllipsePoints_2
Add getClosestEllipsePoints() function to get the closest point on an ellipse #26299

Following https://github.com/opencv/opencv/issues/26078, I was thinking that a function to get for a considered 2d point the corresponding closest point (or maybe directly the distance?) on an ellipse could be useful.
This would allow computing the fitting error with `fitEllipse()` for instance.

Code is based from:
- https://stackoverflow.com/questions/22959698/distance-from-given-point-to-given-ellipse/46007540#46007540
- https://blog.chatfield.io/simple-method-for-distance-to-ellipse/
- https://github.com/0xfaded/ellipse_demo

---

Demo code:

<details>
  <summary>code</summary>
 
```cpp
#include <iostream>
#include <opencv2/opencv.hpp>

namespace
{
void scaleApplyColormap(const cv::Mat &img_float, cv::Mat &img)
{
  cv::Mat img_scale = cv::Mat::zeros(img_float.size(), CV_8UC3);

  double min_val = 0, max_val = 0;
  cv::minMaxLoc(img_float, &min_val, &max_val);
  std::cout << "min_val=" << min_val << " ; max_val=" << max_val << std::endl;

  if (max_val - min_val > 1e-2) {
    float a = 255 / (max_val - min_val);
    float b = -a * min_val;

    cv::convertScaleAbs(img_float, img_scale, a, b);
    cv::applyColorMap(img_scale, img, cv::COLORMAP_TURBO);
  }
  else {
    std::cerr << "max_val - min_val <= 1e-2" << std::endl;
  }
}

cv::Mat drawEllipseDistanceMap(const cv::RotatedRect &ellipse_params)
{
  float bb_rect_w = ellipse_params.center.x + ellipse_params.size.width;
  float bb_rect_h = ellipse_params.center.y + ellipse_params.size.height;

  std::vector<cv::Point2f> points_list;
  points_list.resize(1);
  cv::Mat pointsf;
  cv::Mat closest_pts;
  cv::Mat dist_map = cv::Mat::zeros(bb_rect_h*1.5, bb_rect_w*1.5, CV_32F);
  for (int i = 0; i < dist_map.rows; i++) {
    for (int j = 0; j < dist_map.cols; j++) {
      points_list[0].x = j;
      points_list[0].y = i;
      cv::Mat(points_list).convertTo(pointsf, CV_32F);
      cv::getClosestEllipsePoints(ellipse_params, pointsf, closest_pts);
      dist_map.at<float>(i, j) = std::hypot(closest_pts.at<cv::Point2f>(0).x-j, closest_pts.at<cv::Point2f>(0).y-i);
    }
  }

  cv::Mat dist_map_8u;
  scaleApplyColormap(dist_map, dist_map_8u);
  return dist_map_8u;
}
}

int main()
{
  std::vector<cv::Point2f> points_list;

  // [1434, 308], [1434, 309], [1433, 310], [1427, 310], [1427, 312], [1426, 313], [1422, 313], [1422, 314],
  points_list.push_back(cv::Point2f(1434, 308));
  points_list.push_back(cv::Point2f(1434, 309));
  points_list.push_back(cv::Point2f(1433, 310));
  points_list.push_back(cv::Point2f(1427, 310));
  points_list.push_back(cv::Point2f(1427, 312));
  points_list.push_back(cv::Point2f(1426, 313));
  points_list.push_back(cv::Point2f(1422, 313));
  points_list.push_back(cv::Point2f(1422, 314));

  // [1421, 315], [1415, 315], [1415, 316], [1414, 317], [1408, 317], [1408, 319], [1407, 320], [1403, 320],
  points_list.push_back(cv::Point2f(1421, 315));
  points_list.push_back(cv::Point2f(1415, 315));
  points_list.push_back(cv::Point2f(1415, 316));
  points_list.push_back(cv::Point2f(1414, 317));
  points_list.push_back(cv::Point2f(1408, 317));
  points_list.push_back(cv::Point2f(1408, 319));
  points_list.push_back(cv::Point2f(1407, 320));
  points_list.push_back(cv::Point2f(1403, 320));

  // [1403, 321], [1402, 322], [1396, 322], [1396, 323], [1395, 324], [1389, 324], [1389, 326], [1388, 327],
  points_list.push_back(cv::Point2f(1403, 321));
  points_list.push_back(cv::Point2f(1402, 322));
  points_list.push_back(cv::Point2f(1396, 322));
  points_list.push_back(cv::Point2f(1396, 323));
  points_list.push_back(cv::Point2f(1395, 324));
  points_list.push_back(cv::Point2f(1389, 324));
  points_list.push_back(cv::Point2f(1389, 326));
  points_list.push_back(cv::Point2f(1388, 327));

  // [1382, 327], [1382, 328], [1381, 329], [1376, 329], [1376, 330], [1375, 331], [1369, 331], [1369, 333],
  points_list.push_back(cv::Point2f(1382, 327));
  points_list.push_back(cv::Point2f(1382, 328));
  points_list.push_back(cv::Point2f(1381, 329));
  points_list.push_back(cv::Point2f(1376, 329));
  points_list.push_back(cv::Point2f(1376, 330));
  points_list.push_back(cv::Point2f(1375, 331));
  points_list.push_back(cv::Point2f(1369, 331));
  points_list.push_back(cv::Point2f(1369, 333));

  // [1368, 334], [1362, 334], [1362, 335], [1361, 336], [1359, 336], [1359, 1016], [1365, 1016], [1366, 1017],
  points_list.push_back(cv::Point2f(1368, 334));
  points_list.push_back(cv::Point2f(1362, 334));
  points_list.push_back(cv::Point2f(1362, 335));
  points_list.push_back(cv::Point2f(1361, 336));
  points_list.push_back(cv::Point2f(1359, 336));
  points_list.push_back(cv::Point2f(1359, 1016));
  points_list.push_back(cv::Point2f(1365, 1016));
  points_list.push_back(cv::Point2f(1366, 1017));

  // [1366, 1019], [1430, 1019], [1430, 1017], [1431, 1016], [1440, 1016], [1440, 308]
  points_list.push_back(cv::Point2f(1366, 1019));
  points_list.push_back(cv::Point2f(1430, 1019));
  points_list.push_back(cv::Point2f(1430, 1017));
  points_list.push_back(cv::Point2f(1431, 1016));
  points_list.push_back(cv::Point2f(1440, 1016));
  points_list.push_back(cv::Point2f(1440, 308));

  cv::Mat pointsf;
  cv::Mat(points_list).convertTo(pointsf, CV_32F);

  cv::RotatedRect ellipse_params = cv::fitEllipseAMS(pointsf);
  std::cout << "ellipse_params, center=" << ellipse_params.center << " ; size=" << ellipse_params.size
    << " ; angle=" << ellipse_params.angle << std::endl;

  cv::TickMeter tm;
  tm.start();
  cv::Mat dist_map_8u = drawEllipseDistanceMap(ellipse_params);
  tm.stop();
  std::cout << "Elapsed time: " << tm.getAvgTimeSec() << " sec" << std::endl;

  cv::Point center(ellipse_params.center.x, ellipse_params.center.y);
  cv::Point axis(ellipse_params.size.width/2, ellipse_params.size.height/2);
  std::vector<cv::Point> ellipse_pts_list;
  cv::ellipse2Poly(center, axis, ellipse_params.angle, 0, 360, 1, ellipse_pts_list);
  cv::polylines(dist_map_8u, ellipse_pts_list, false, cv::Scalar(0, 0, 0), 3);

  // Points to be fitted
  cv::Mat closest_pts;
  cv::getClosestEllipsePoints(ellipse_params, pointsf, closest_pts);
  for (int i = 0; i < closest_pts.rows; i++) {
    cv::Point pt;
    pt.x = closest_pts.at<cv::Point2f>(i).x;
    pt.y = closest_pts.at<cv::Point2f>(i).y;
    cv::circle(dist_map_8u, pt, 8, cv::Scalar(0, 0, 255), 2);
  }

  cv::imwrite("dist_map_8u.png", dist_map_8u);

  return EXIT_SUCCESS;
}
```
</details>

![image](https://github.com/user-attachments/assets/3345cc86-ba83-44f9-ac78-74058a33a7dc)

---

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2025-06-03 17:12:16 +03:00
Alexander Smorkalov 0ccbd21c0a Relax remap relative test to handle the case when HAL implements not remap options. 2025-06-03 11:24:07 +03:00
Alexander Smorkalov 17d94277f0 Merge pull request #27393 from asmorkalov:as/elseif_hdr_parser
Fixed bug in ifdef state machine in header parser for bindings
2025-06-03 10:23:26 +03:00
Alexander Smorkalov 5205e26663 Fixed bug in ifdef state machine in header parser for bindings. 2025-06-02 12:41:39 +03:00
Kumataro cd0699a338 Merge pull request #27384 from Kumataro:fix27382
imgcodecs: jpegxl: support lossless compression #27384

Close https://github.com/opencv/opencv/issues/27382

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- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-06-02 11:23:38 +03:00
Vincent Rabaud 4033043488 Fix empty ND-array construction 2025-06-02 10:13:49 +02:00
Maxim Smolskiy e92cfb35f6 Merge pull request #27389 from MaximSmolskiy:add_HoughCirclesWithAccumulator_binding
Add HoughCirclesWithAccumulator binding #27389

### Pull Request Readiness Checklist

Fix #27377 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-06-02 10:23:17 +03:00
Alexander Smorkalov a39f61b6e1 Merge pull request #27390 from MaximSmolskiy:update_HoughLinesWithAccumulator_binding
Update HoughLinesWithAccumulator binding
2025-06-02 09:41:33 +03:00
MaximSmolskiy e1f6e85c88 Update HoughLinesWithAccumulator binding 2025-06-01 19:19:21 +03:00
Alexander Smorkalov b3cb517cac Merge pull request #27385 from CodeLinaro:doc_update
Updating doc markdown to include API in FastCV gemm HAL
2025-05-30 15:24:15 +03:00
Liane Lin 8a0ea789e7 Merge pull request #27149 from liane-lin:4.x
Fix #25696: Solved the problem in Subdiv2D, empty delaunay triangulation #27149

Detailed description

Expected behaviour:
Given 4 points, where no three points are collinear, the Delaunay Triangulation Algorithm should return 2 triangles.

Actual:
The algorithm returns zero triangles in this particular case.

Fix:
The radius of the circumcircle tends to infinity when the points are closer to form collinear points, so the problem occurs because the super-triangles are not large enough,
which then results in certain edges are not swapped. The proposed solution just increases the super triangle, duplicating the value of constant for example.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-05-30 15:20:01 +03:00
Aditi Sharma d26aa99a05 Updating doc markdown to include API in FastCV gemm HAL 2025-05-30 17:01:07 +05:30
Alexander Smorkalov 9f7793cdae Merge pull request #27375 from CodeLinaro:doc_update
Updating doc markdown to include newly added FastCV HAL and Extension…
2025-05-28 16:06:42 +03:00
Aditi Sharma 47d0bedeb2 Updating doc markdown to include newly added FastCV HAL and Extension APIs 2025-05-28 15:43:04 +05:30
Myron Rodrigues 344f8c6400 Merge pull request #27363 from MRo47:openvino-npu-support
Feature: Add OpenVINO NPU support #27363

## Why
- OpenVINO now supports inference on integrated NPU devices in intel's Core Ultra series processors.
- Sometimes as fast as GPU, but should use considerably less power.

## How
- The NPU plugin is now available as "NPU" in openvino `ov::Core::get_available_devices()`.
- Removed the guards and checks for NPU in available targets for Inference Engine backend.

## Test example

### Pre-requisites
- Intel [Core Ultra series processor](https://www.intel.com/content/www/us/en/products/details/processors/core-ultra/edge.html#tab-blade-1-0)
- [Intel NPU driver](https://github.com/intel/linux-npu-driver/releases)
- OpenVINO 2023.3.0+ (Tested on 2025.1.0)

### Example
```cpp
#include <opencv2/dnn.hpp>
#include <iostream>

int main(){
    cv::dnn::Net net = cv::dnn::readNet("../yolov8s-openvino/yolov8s.xml", "../yolov8s-openvino/yolov8s.bin");
    cv::Size net_input_shape = cv::Size(640, 480);
    std::cout << "Setting backend to DNN_BACKEND_INFERENCE_ENGINE and target to DNN_TARGET_NPU" << std::endl;
    net.setPreferableBackend(cv::dnn::DNN_BACKEND_INFERENCE_ENGINE);
    net.setPreferableTarget(cv::dnn::DNN_TARGET_NPU);

    cv::Mat image(net_input_shape, CV_8UC3);
    cv::randu(image, cv::Scalar(0, 0, 0), cv::Scalar(255, 255, 255));
    cv::Mat blob = cv::dnn::blobFromImage(
        image, 1, net_input_shape, cv::Scalar(0, 0, 0), true, false, CV_32F);
    net.setInput(blob);
    std::cout << "Running forward" << std::endl;
    cv::Mat result = net.forward();
    std::cout << "Output shape: " << result.size << std::endl; // Output shape: 1 x 84 x 6300
}
```

model files [here](https://limewire.com/d/bPgiA#BhUeSTBnMc)

docker image used to build opencv: [ghcr.io/mro47/opencv-builder](https://github.com/MRo47/opencv-builder/blob/main/Dockerfile)

Closes #26240

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-05-27 14:13:49 +03:00
Alexander Smorkalov a23baceb06 Merge pull request #27367 from CodeLinaro:xuezha_markdown
update building_fastcv.markdown
2025-05-27 14:10:36 +03:00
Xue Zhang 17f399f475 update building_fastcv.markdown 2025-05-27 13:34:29 +05:30
Alexander Smorkalov 575e3adc01 Merge pull request #27345 from asmorkalov:as/android_sdk_fastcv
Fixed FastCV linkage in OpenCV4AndroidSDK
2025-05-25 10:13:00 +03:00
Alexander Smorkalov 7578007d23 Merge pull request #27356 from asmorkalov:as/ipp_hal_copyright
Added default copyright header to IPP HAL
2025-05-24 18:54:27 +03:00
Alexander Smorkalov 0806124ac7 Try to add FastCV to OpenCV4AndroidSDK 2025-05-24 18:49:11 +03:00
Alexander Smorkalov b4944c9375 Added default copyright header to IPP HAL. 2025-05-24 16:57:49 +03:00
Alexander Smorkalov 0a5352ee27 Merge pull request #27346 from asmorkalov:as/ipp_hal_sum
New HAL entry for cv::sum and IPP adoption
2025-05-24 16:53:42 +03:00
Myron Rodrigues 374ad41420 Merge pull request #27353 from MRo47:fix/segfault-on-forward#27352
Fix #27352: Add checks before getting latest pin in Net::Impl::getLatestLayerPin() #27353 

### Pull Request Readiness Checklist

Fixes #27352 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-05-24 10:07:45 +03:00
Maxim Smolskiy 023d14ecc4 Merge pull request #27347 from MaximSmolskiy:improve-solveCubic-accuracy
Improve solveCubic accuracy #27347

### Pull Request Readiness Checklist

Fix #27323 

```
2e-13 * x^3 + x^2 - 2 * x + 1 = 0 -> x^3 + 5e12 * x^2 - 1e13 * x + 5e12 = 0
```

The problem that coefficients have quite big magnitudes and current calculations are subject to round-off error

```
Q = (a1 * a1 - 3 * a2) * (1./9)
R = (2 * a1 * a1 * a1 - 9 * a1 * a2 + 27 * a3) * (1./54)
Qcubed = Q * Q * Q = a1^6/729 - (a1^4 a2)/81 + (a1^2 a2^2)/27 - a2^3/27
R * R = R^2 = a1^6/729 - (a1^4 a2)/81 + (a1^2 a2^2)/36 + (a1^3 a3)/27 - (a1 a2 a3)/6 + a3^2/4
d = Qcubed - R * R
```

Let `a1`, `a2`, `a3` have quite big same magnitudes, then we see that `Qcubed` and `R * R` have same terms `a1^6/729` and `-(a1^4 a2)/81` (which will be reduced in `d`), but they level out the other terms (these terms have `6`th and `5`th degree and other terms - less or equal than `4`th degree).
So, if these terms will participate in the calculation, this will lead to a huge round-off error.
But if we expand the expression, then round-off error should be less
```
d = Qcubed - R * R = 1/108 (a1^2 a2^2 - 4 a2^3 - 4 a1^3 a3 + 18 a1 a2 a3 - 27 a3^2)
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-05-24 09:56:48 +03:00
Alexander Smorkalov 388b6dd81f New HAL entry for cv::sum and IPP adoption. 2025-05-23 12:35:11 +03:00
Alexander Smorkalov b8099d3cc2 Merge pull request #27348 from fengyuentau:4x/hal/riscv_rvv/faster_div_f32
hal/riscv-rvv: further optimize div
2025-05-23 11:31:16 +03:00
Alexander Smorkalov 5a457842f1 Merge pull request #27351 from mshabunin:fix-intrin-legacy-ops-2
core: legacy intrin operators - fixed version warning condition
2025-05-23 07:50:39 +03:00
Maksim Shabunin e6fb6c290c core: legacy intrin operators - fixed version warning condition 2025-05-22 21:00:49 +03:00
Yuantao Feng 2c4eab0969 perf: speed up vfdiv by Newton-Raphson routine 2025-05-22 12:58:40 +08:00
Alexander Smorkalov aee828ac6e Merge pull request #27344 from asmorkalov:as/kleidicv_no_cv_namespace
Disabled cv namespace usage inside KleidiCV.
2025-05-21 16:13:48 +03:00
Yuantao Feng c37f54aeed Merge pull request #27343 from fengyuentau:4x/build/fix_more_warnings
build: fix more warnings from recent gcc versions after #27337 #27343

More fixings after https://github.com/opencv/opencv/pull/27337

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-05-21 16:12:09 +03:00
Alexander Smorkalov 7ecb1d8cab Disabled cv namespace usage inside KleidiCV. 2025-05-21 13:04:23 +03:00
omahs 0bc95d9256 Merge pull request #27338 from omahs:patch-1
Fix typos #27338

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-05-21 12:13:50 +03:00
Alexander Smorkalov dc610867e1 Merge pull request #27342 from MaximSmolskiy:fix-bug-in-solvePoly-test
Fix bug in solvePoly test
2025-05-21 11:19:01 +03:00
Alexander Smorkalov 5177c4a25a Merge pull request #27341 from dkurt:vit_ov_test
Higher threshold for ViT on OpenVINO
2025-05-21 11:00:52 +03:00
Alexander Smorkalov 4530206445 Merge pull request #27340 from asmorkalov:apreetam_5thPost
Update hash for the fastcv libs for both Linux and Android #27340

Replaces https://github.com/opencv/opencv/pull/27290
Updated libs PR: https://github.com/opencv/opencv_3rdparty/pull/95

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-05-21 10:24:13 +03:00
MaximSmolskiy d4c4493413 Fix bug in solvePoly test 2025-05-21 09:31:43 +03:00
Dmitry Kurtaev 3ff6c7f9fe Higher threshold for ViT on OpenVINO 2025-05-21 09:31:40 +03:00
Yuantao Feng 166f76d224 Merge pull request #27337 from fengyuentau:4x/build/riscv/fix_warnings
build: fix warnings from recent gcc versions #27337

This PR addresses the following found warnings:
- [x] -Wmaybe-uninitialized
- [x] -Wunused-variable
- [x] -Wsign-compare

Tested building with GCC 14.2 (RISC-V 64).

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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      Patch to opencv_extra has the same branch name.
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2025-05-21 09:28:29 +03:00
Gursimar Singh c3fe92d813 Merge pull request #27270 from gursimarsingh:bug_fix_unstable_crf
Bug fix unstable crf #27270

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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The PR resolves the issue for triangle Weights used by debevec algorithm being non zero at extremes. 
It resolves #24966 

The fix needs ground truth data to be changed in order to pass existing tests. PR to opencv_extra: https://github.com/opencv/opencv_extra/pull/1253
2025-05-21 08:40:11 +03:00
Maxim Smolskiy d00738d97c Merge pull request #27331 from MaximSmolskiy:add-test-for-solveCubic
Add tests for solveCubic #27331

### Pull Request Readiness Checklist

Related to #27323 

I found only randomized tests with number of roots always equal to `1` or `3`, `x^3 = 0` and some simple test for Java and Swift.
Obviously, they don't cover all cases (implementation has strong branching and number of roots can be equal to `-1`, `0` and `2` additionally).
So, I think it will be useful to try explicitly cover more cases (and implementation branches correspondingly)

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-05-21 08:36:35 +03:00
Alexander Smorkalov 79a5e5276a Merge pull request #27334 from fengyuentau:4x/imgproc/compareHist_chisqr_simd
imgproc: vectorize mode CHISQR and CHISQR_ALT in compareHist
2025-05-21 07:07:57 +03:00
Yuantao Feng 9b08167769 hal/imgproc: add hal for calcHist and implement in hal:riscv-rvv (#27332)
hal/imgproc: add hal for calcHist and implement in hal/riscv-rvv #27332

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-05-21 07:07:22 +03:00
Alexander Smorkalov 23f8e523a0 Merge pull request #27325 from VadimLevin/dev:vlevin/header-parser-conditional-inclusion-directives-handling
feat: add conditional inclusion support to header parser
2025-05-20 18:11:12 +03:00
Yuantao Feng 7fe8ce19d9 perf: vectorize mode CHISQR and CHISQR_ALT in compareHist 2025-05-19 17:09:33 +08:00
Dmitry Kurtaev 1e3ab44cff Merge pull request #27307 from dkurt:tflite_face_blendshape_model
TFLite fixes for Face Blendshapes V2 #27307

### Pull Request Readiness Checklist

* Scalars support
* Better handling of 1D tensors
* New ops import: SUB, SQRT, DIV, NEG, SQUARED_DIFFERENCE, SUM
* Number of NHWC<->NCHW layouts compatibility improvements

resolves #27211

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1257

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-05-19 10:45:18 +03:00
Vadim Levin b3e17ea9d4 feat: add conditional inclusion support to header parser 2025-05-19 10:11:52 +03:00
Alexander Smorkalov eae77dae86 Merge pull request #27327 from mshabunin:fix-intrin-legacy-ops
Restored legacy intrinsics operators in a separate header
2025-05-19 09:19:35 +03:00
Alexander Smorkalov 9d2d927fa9 Merge pull request #27326 from dkurt:handle_multi_output_eltwise_fusion
CUDA: Handle fusion of conv+eltwise in case of multi-output node (i.e. Split)
2025-05-19 09:12:38 +03:00
Madan mohan Manokar 84ea77a4be Merge pull request #27299 from amd:fast_medianblur_simd
imgproc: medianblur: Performance improvement #27299

* Bottleneck in non-vectorized path reduced.
* AVX512 dispatch added for medianblur.

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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2025-05-19 08:56:57 +03:00
Maksim Shabunin a9b298eb47 Restored legacy intrinsics operators in a separate header 2025-05-17 16:44:07 +03:00
Dmitry Kurtaev fd5b33bb00 Handle fusion of conv+eltwise in case of multi-output node (i.e. Split) 2025-05-17 11:31:01 +03:00
chengolivia 250b5003ee Merge pull request #27305 from chengolivia:add-check-sgbm-nondeterminism
Add image dimension check to avoid StereoSGBM non-determinism #27305 
 
Addresses #25828 

Users noticed that StereoSGBM would occasionally give non-deterministic results for `.compute(imgL, imgR)`.

I and others traced the cause to out-of-bounds access that was not being caught when the input images were not wide enough for the input block size and number of disparities to StereoSGBM. The specific math and logic can be found in the above issue's discussion.

This PR adds a CV_Check to make sure images are wider than 1/2 of the block size + the max disparity the algorithm will search.

The check was only added to the regular `compute` method for StereoSGBM and not to the other modes, as I did not observe the non-deterministic behavior with the other compute modes like HH.

In addition, this PR adds a test case to Calib3d to make sure the check is being thrown in the problem case and that the results are deterministic in the good case.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-05-17 10:19:09 +03:00
Vincent Rabaud 9201ca1af1 Merge pull request #27321 from vrabaud:norm
Make sure to not access outside normDiffTabMake sure to not access outside normDiffTab #27321 

If the norm is outside the array (e.g. Hamming), memory is read outside of the array, which does not matter because the invalid pointer is not used oustide of the function (e.g. the Hamming path is taken) but it triggers the sanitizer.

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch
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2025-05-17 09:59:08 +03:00
Alexander Smorkalov f3cffcd85d Merge pull request #27322 from vrabaud:zeros
Add missing Mat_<_Tp>::zeros(int _ndims, const int* _sizes)
2025-05-17 09:55:05 +03:00
Alexander Smorkalov 1c421be489 Merge pull request #27288 from ruisv:ruisv-cuda1209-npp-patch-1
CUDA 12.9 support: build NppStreamContext manually
2025-05-16 12:20:55 +03:00
Alexander Smorkalov 80a8c97dd7 Merge pull request #27317 from asmorkalov:as/disable_ipp_x86_android
Disable IPP for x86 32bit Android as it's incompatible with modern NDK.
2025-05-16 12:16:16 +03:00
Vincent Rabaud 1a624efc0f Add missing Mat_<_Tp>::zeros(int _ndims, const int* _sizes) 2025-05-16 10:50:15 +02:00
Alexander Smorkalov 2af8d0317e Merge pull request #27311 from asmorkalov:as/draw_axes_warning
Added warning if projected axes are out of camera frame in drawAxes
2025-05-16 10:32:41 +03:00
Alexander Smorkalov 7e12c397d0 Disable IPP for x86 32bit Android as it's incompatible with modern NDK. 2025-05-16 08:34:28 +03:00
Yuantao Feng f016c728f5 Merge pull request #27315 from fengyuentau:4x/hal/riscv-rvv/refactor_functab_elemsize
python3 "/opencv/platforms/android/build_sdk.py" --build_doc --config "/opencv/platforms/android/default.config.py" --sdk_path "$ANDROID_HOME" --ndk_path "$ANDROID_NDK_HOME" /build | tee /build/build-log.txt

python3 "/opencv/platforms/android/build_java_shared_aar.py" --offline --ndk_location="$ANDROID_NDK_HOME" --cmake_location=$(dirname $(dirname $(which cmake))) /build/OpenCV-android-sdk

hal/riscv-rvv: make use of function tab in copyToMasked and CV_ELEM_SIZE1 in place of elem_size_tab #27315

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2025-05-15 09:57:05 +03:00
Alexander Smorkalov 8ceddbff68 Merge pull request #27314 from parona-source:fix-libspng-pkgconfig
cmake: set SPNG_LIBRARY for pkgconfig as well
2025-05-15 09:27:57 +03:00
Alfred Wingate 8fae4a65fe cmake: set SPNG_LIBRARY for pkgconfig as well
Pkgconfig will set SPNG_LIBRARIES but not SPNG_LIBRARY, this is an issue
as modules/imgcodecs/CmakeLists.txt uses SPNG_LIBRARY.

Bug: https://bugs.gentoo.org/955661
Fixes: c92815238e
Signed-off-by: Alfred Wingate <parona@protonmail.com>
2025-05-14 23:36:56 +03:00
Alexander Smorkalov 5d3a9788eb Merge pull request #27309 from abhishek-gola:bilateral_filter_bug_fix
Fixed bilateral filter's sigma color and sigma space issue
2025-05-14 17:12:11 +03:00
Dmitry Kurtaev 67ba045e3b Merge pull request #27284 from dkurt:java_video_capture_read
Java VideoCapture buffered stream constructor #27284

### Pull Request Readiness Checklist

resolves #26809

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
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2025-05-14 17:01:45 +03:00
Alexander Smorkalov e1a74e6d1b Added warning if projected axes are out of camera frame in drawAxes function. 2025-05-14 15:34:51 +03:00
Yuantao Feng 547cef4e88 Merge pull request #27301 from fengyuentau:4x/hal/riscv_rvv/refactor_build
hal/riscv-rvv: refactor the building process #27301

Current hal/riscv-rvv is built with all headers without building an object. This slows down the compilation progress, especially when re-compiling for minor changes in those headers (~170 files need to be re-compiled). This patch solves the problem.

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-05-14 14:04:58 +03:00
Abhishek Gola 838babe351 Fixed bilateral filter's sigma color and sigma space issue 2025-05-14 14:22:05 +05:30
Alexander Smorkalov 868fc5c581 Merge pull request #27302 from asmorkalov:as/openjpeg_status
Cherry-pick OpenJPEG deconding status fix.
2025-05-13 10:34:36 +03:00
Alexander Smorkalov a39db41390 Cherry-pick OpenJPEG deconding status fix. 2025-05-13 08:56:14 +03:00
Alexander Smorkalov 90e7119ce0 Merge pull request #27293 from shirriff:patch-1
Update match_template.py to fix doc bug
2025-05-12 17:48:15 +03:00
Ken Shirriff d5a5b0e85f Update match_template.py to fix doc bug
shape has Y first, then X. See issue #27292
2025-05-12 17:06:24 +03:00
Alexander Smorkalov ce4c3f64e0 Merge pull request #27300 from asmorkalov:as/license_update
License update in CPack generated packages
2025-05-12 12:55:24 +03:00
Alexander Smorkalov 2364056aa3 License update in CPack generated packages. 2025-05-12 11:46:51 +03:00
Kumataro 3a69b11b6d Merge pull request #27297 from Kumataro:fix27295
imgcodecs: png: add log if first chunk is not IHDR #27297

Close https://github.com/opencv/opencv/issues/27295

To optimize for the native pixel format of the iPhone's early PowerVR GPUs, Apple implemented a non-standard PNG format.

Details: https://theapplewiki.com/wiki/PNG_CgBI_Format

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-05-12 10:44:54 +03:00
Alexander Smorkalov 8035aade11 Merge pull request #27296 from sturkmen72:bugfix-gif
Fix a bug on rendering some animated gif
2025-05-12 09:14:07 +03:00
Alexander Smorkalov 59a17bc41a Merge pull request #27287 from asmorkalov:as/hsv_init
Reworked HSV color conversion tables initialization for OpenCL branch
2025-05-12 09:09:04 +03:00
Alexander Smorkalov 11aefa2338 Merge pull request #27291 from asmorkalov:as/js_charuco_corners
Fixed std::vector<Point3f> handling in JS wrappers
2025-05-12 09:06:29 +03:00
Alexander Smorkalov 306204089f Reworked HSV color conversion tables initialization for OpenCL branch. 2025-05-12 09:02:47 +03:00
Suleyman TURKMEN 9d07c25175 Update grfmt_gif.cpp 2025-05-10 16:06:06 +03:00
Alexander Smorkalov 2f97718bc1 Fixed std::vector<Point3f> handling in JS wrappers. 2025-05-07 16:03:12 +03:00
ruisv 9ab3a249c2 remove private.cuda.hpp:158 space 2025-05-07 11:46:43 +08:00
ruisv 8a2903c190 CUDA 12.9 support: build NppStreamContext manually 2025-05-06 23:47:12 +08:00
Alexander Smorkalov 16a3d37dc1 Merge pull request #27282 from asmorkalov:as/qt_resize
Fixed QT window resize logic
2025-05-06 15:13:33 +03:00
Alexander Smorkalov 7d66431f8e Fixed QT window resize logic. 2025-05-05 14:52:15 +03:00
Alexander Smorkalov c248d47110 Merge pull request #27268 from Kumataro:fix27267
doc: hal: replace C++ operators with wrapper functions
2025-05-05 09:20:46 +03:00
Dmitry Kurtaev 0ea3c156a4 Merge pull request #27273 from dkurt:dnn_tflite_slice
* TFLite StridedSllice (without strides but just Slice)

* Enable strides for TF importers. Update OpenVINO backend for StridedSlice
2025-05-03 14:47:45 +03:00
Alexander Smorkalov 806eb4767c Merge pull request #27274 from opencv-pushbot:gitee/alalek/fix_26328
core(OCL): fix POWN OpenCL implementation
2025-05-03 14:44:39 +03:00
Alexander Alekhin 7a9ce585f0 core(ocl): fix POWN OpenCL implementation 2025-05-01 20:57:23 +00:00
Kumataro 37be2a2a68 doc: hal: replace C++ operators with wrapper functions 2025-04-30 05:40:16 +09:00
Alexander Smorkalov 4ad4bd5dc0 Merge pull request #27227 from s-trinh:improve_calib3d_doc_homogeneous_transformation
Add additional information about homogeneous transformations in the calib3d doc
2025-04-28 19:51:34 +03:00
Alexander Smorkalov 956f583b69 Merge pull request #27263 from fengyuentau:4x/hal_rvv/rotate
hal/riscv_rvv: implemented flip_inplace to boost cv::rotate
2025-04-28 11:03:23 +03:00
fengyuentau ab5a65b5a2 perf: implemented flip_inplace in hal_rvv to boost cv::rotate on RISC-V platforms 2025-04-28 14:18:48 +08:00
Alexander Smorkalov fe5bd15cdd Merge pull request #27260 from utibenkei:add_cv_wrap_to_dnn_registeroutput
Add CV_WRAP to registerOutput for language bindings support
2025-04-26 15:07:42 +03:00
Alexander Smorkalov c9a73061ca Merge pull request #27258 from asmorkalov:as/gif_on
Enable GIF support by default
2025-04-26 11:16:05 +03:00
Yuantao Feng 2fb786532a Merge pull request #27257 from fengyuentau:4x/hal_rvv/flip_opt
hal_rvv: further optimized flip #27257

Checklist:
- [x] flipX
- [x] flipY
- [x] flipXY

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
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2025-04-26 11:08:29 +03:00
utibenkei c774dd41cf Add CV_WRAP to registerOutput for language bindings support 2025-04-26 01:32:11 +09:00
Alexander Smorkalov 55a063f025 Enable GIF support by default. 2025-04-25 15:03:22 +03:00
Alexander Smorkalov 19c4d97638 Merge pull request #27252 from asmorkalov:as/extract_hal
Extract all HALs from 3rdparty to dedicated folder. #27252

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-04-25 14:56:42 +03:00
Alexander Smorkalov 9533c5633d Merge pull request #27255 from nina16448:houghcircles_fix
Update houghcircles.py
2025-04-25 11:58:51 +03:00
Kumataro 86a963cec9 Merge pull request #27226 from Kumataro:fix27225
imgproc: cvtColor: remove to copy edge pixels for COLOR_Bayer*_VNGs. #27226 

Close https://github.com/opencv/opencv/issues/27225
Close https://github.com/opencv/opencv/issues/5089
Related https://github.com/opencv/opencv_extra/pull/1249

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2025-04-25 11:29:22 +03:00
adsha-quic edccfa7961 Merge pull request #27184 from CodeLinaro:gemm_fastcv_hal
FastCV gemm hal #27184

FastCV hal for gemm 32f

### Pull Request Readiness Checklist

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2025-04-25 11:07:26 +03:00
sirudoi 485c7d5be7 Merge pull request #27230 from sirudoi:4.x
videoio: add Orbbec Gemini 330 camera support #27230

### Pull Request Readiness Checklist

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### Description of Changes
#### motivated:
- Orbbec has launched a new RGB-D camera — the Gemini 330. To fully leverage the capabilities of the Gemini 330, Orbbec simultaneously released version 2 of the open-source OrbbecSDK. This PR adapts the support for the Gemini 330 series cameras to better meet and respond to users’ application requirements.
#### change:
- Add support for the Orbbec Gemini330 camera.
- Fixed an issue with Femto Mega on Windows 10/11; for details, see [issue](https://github.com/opencv/opencv/pull/23237#issuecomment-2242347295).
- When enabling `HAVE_OBSENSOR_ORBBEC_SDK`, the build now fetches version 2 of the OrbbecSDK, and the sample API calls have been updated to the v2 format.

### Testing
|     OS     |                Compiler                 |      Camera       | Result |
|:----------:|:---------------------------------------:|:-----------------:|:------:|
| Windows 11 | (VS2022) MSVC runtime library version 14.40       | Gemini 335/336L   | Pass   |
| Windows 11 | (VS2022) MSVC runtime library version 14.19       | Gemini 335/336L   | Pass   |
| Ubuntu22.04| GCC 11.4                               | Gemini 335/336L   | Pass   |
| Ubuntu18.04| GCC 7.5                                | Gemini 335/336L   | Pass   |

### Acknowledgements
Thank you to the OpenCV team for the continuous support and for creating such a robust open source project. I appreciate the valuable feedback from the community and reviewers, which has helped improve the quality of this contribution!
2025-04-25 11:04:19 +03:00
nina16448 6f8f846288 Update houghcircles.py 2025-04-25 15:39:50 +08:00
Alexander Smorkalov 829495355d Merge pull request #27253 from asmorkalov:as/kleidicv_release_check
Added KleidiCV check for Android SDK release builds
2025-04-24 09:47:14 +03:00
Alexander Smorkalov 9241e0a9f6 Added KleidiCV check for Android SDK release builds. 2025-04-24 07:30:16 +03:00
Yuantao Feng 325e59bd4c Merge pull request #27229 from fengyuentau:4x/hal_rvv/transpose
HAL: implemented cv_hal_transpose in hal_rvv #27229

Checklists:

- [x] transpose2d_8u
- [x] transpose2d_16u
- [ ] ~transpose2d_8uC3~
- [x] transpose2d_32s
- [ ] ~transpose2d_16uC3~
- [x] transpose2d_32sC2
- [ ] ~transpose_32sC3~
- [ ] ~transpose_32sC4~
- [ ] ~transpose_32sC6~
- [ ] ~transpose_32sC8~
- [ ] ~inplace transpose~


### Pull Request Readiness Checklist

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2025-04-22 11:03:26 +03:00
Alexander Smorkalov cd5a636459 Merge pull request #27249 from fengyuentau:4x/hal_rvv/bugfix-norm2-int
HAL: aligned behavior of normDiff 32s kernels in hal_rvv in 4.x
2025-04-22 10:54:04 +03:00
fengyuentau a7749c3813 aligned behavior in normDiff in hal_rvv for 4.x 2025-04-22 14:44:42 +08:00
Skreg e37819c2ac Merge pull request #27221 from shyama7004:docChanges
Minor changes in calib3d docs for clarity #27221

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
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2025-04-21 21:15:37 +03:00
Alexander Smorkalov 29ef2a1da3 Merge pull request #27245 from utibenkei:fix_java_wrapper_get_set_blobColor
Enable Java bindings for SimpleBlobDetector::blobColor
2025-04-21 20:53:35 +03:00
utibenkei 97f73ba0b5 Merge pull request #27228 from utibenkei:fix_java_enum_wrapper
Explicitly specify enum type scopes to improve Java wrapper generation #27228 

Changed DataLayout and ImagePaddingMode to dnn::DataLayout and dnn::ImagePaddingMode to explicitly specify their scopes. This allows gen_java.py to correctly register  disc_type, preventing constructors and methods using these enum types from being skipped during Java wrapper generation.

Similarly updated QRCodeEncoder::CorrectionLevel and QRCodeEncoder::EncodeMode with explicit scope declarations.

Also added a new Java test class `DnnBlobFromImageWithParamsTest` based on: https://github.com/opencv/opencv/blob/4.x/modules/dnn/test/test_misc.cpp#L133-L243

Related issues
#23753 

### Pull Request Readiness Checklist

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2025-04-21 20:51:38 +03:00
Adrian Kretz a08b1b6566 Merge pull request #27244 from akretz:fix_issue_27183
Fix QR code encoder with autoversion #27244

The autodetected version is not honored in the `QRCodeEncoderImpl::encode*` methods. This fixes #27183

### Pull Request Readiness Checklist

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2025-04-21 17:40:33 +03:00
Ivan Avdeev a8a3b93043 Merge pull request #27239 from avdivan:4.x
Android-SDK: check flag IPP package #27239

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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2025-04-21 17:33:14 +03:00
Alexander Smorkalov 0bea67f57b Merge pull request #27224 from fengyuentau:4x/hal_rvv/compare
HAL: implemented cv_hal_cmp* in hal_rvv
2025-04-21 15:48:31 +03:00
fengyuentau 8eb9d27a31 implemented cv_hal_cmp* in hal_rvv 2025-04-21 18:09:57 +08:00
YooLc f20facc60a Merge pull request #27060 from YooLc:hal-rvv-integral
[hal_rvv] Add cv::integral implementation and more types of input for test #27060

This patch introduces an RVV-optimized implementation of `cv::integral()` in hal_rvv, along with performance and accuracy tests for all valid input/output type combinations specified in `modules/imgproc/src/hal_replacement.hpp`:
https://github.com/opencv/opencv/blob/2a8d4b8e43f6e499c5553edd26056caed284d5a6/modules/imgproc/src/hal_replacement.hpp#L960-L974

The vectorized prefix sum algorithm follows the approach described in [Prefix Sum with SIMD - Algorithmica](https://en.algorithmica.org/hpc/algorithms/prefix/).

I intentionally omitted support for the following cases by returning `CV_HAL_ERROR_NOT_IMPLEMENTED`, as they are harder to implement or show limited performance gains:
1. **Tilted Sum**: The data access pattern for tilted sums requires multi-row operations, making effective vectorization difficult.
2. **3-channel images (`cn == 3`)**: Current implementation requires `VLEN/SEW` (a.k.a. number of elements in a vector register) to be a multiple of channel count, which 3-channel formats typically cannot satisfy.
    - Support for 1, 2 and 4 channel images is implemented
4. **Small images (`!(width >> 8 || height >> 8)`)**: The scalar implementation demonstrates better performance for images with limited dimensions. 
    - This is the same as `3rdparty/ndsrvp/src/integral.cpp` https://github.com/opencv/opencv/blob/09c71aed141210bf2b14582974ed9d231c24edd5/3rdparty/ndsrvp/src/integral.cpp#L24-L26

Test configuration:

- Platform: SpacemiT Muse Pi (K1 @ 1.60 Ghz)
- Toolchain: GCC 14.2.0
- `integral_sqsum_full` test is disabled by default, so `--gtest_also_run_disabled_tests` is needed

Test results:

```plaintext
Geometric mean (ms)

                                     Name of Test                                       imgproc-gcc-scalar imgproc-gcc-hal  imgproc-gcc-hal  
                                                                                                                                   vs        
                                                                                                                           imgproc-gcc-scalar
                                                                                                                               (x-factor)      
integral::Size_MatType_OutMatDepth::(640x480, 8UC1, CV_32F)                                   1.973             1.415             1.39       
integral::Size_MatType_OutMatDepth::(640x480, 8UC1, CV_32S)                                   1.343             1.351             0.99       
integral::Size_MatType_OutMatDepth::(640x480, 8UC1, CV_64F)                                   2.021             2.756             0.73       
integral::Size_MatType_OutMatDepth::(640x480, 8UC2, CV_32F)                                   4.695             2.874             1.63       
integral::Size_MatType_OutMatDepth::(640x480, 8UC2, CV_32S)                                   4.028             2.801             1.44       
integral::Size_MatType_OutMatDepth::(640x480, 8UC2, CV_64F)                                   5.965             4.926             1.21       
integral::Size_MatType_OutMatDepth::(640x480, 8UC4, CV_32F)                                   9.970             4.440             2.25       
integral::Size_MatType_OutMatDepth::(640x480, 8UC4, CV_32S)                                   7.934             4.244             1.87       
integral::Size_MatType_OutMatDepth::(640x480, 8UC4, CV_64F)                                   14.696            8.431             1.74       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC1, CV_32F)                                  5.949             4.108             1.45       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC1, CV_32S)                                  4.064             4.080             1.00       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC1, CV_64F)                                  6.137             7.975             0.77       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC2, CV_32F)                                  13.896            8.721             1.59       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC2, CV_32S)                                  10.948            8.513             1.29       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC2, CV_64F)                                  18.046           15.234             1.18       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC4, CV_32F)                                  35.105           13.778             2.55       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC4, CV_32S)                                  27.135           13.417             2.02       
integral::Size_MatType_OutMatDepth::(1280x720, 8UC4, CV_64F)                                  43.477           25.616             1.70       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC1, CV_32F)                                 13.386            9.281             1.44       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC1, CV_32S)                                 9.159             9.194             1.00       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC1, CV_64F)                                 13.776           17.836             0.77       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC2, CV_32F)                                 31.943           19.435             1.64       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC2, CV_32S)                                 24.747           18.946             1.31       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC2, CV_64F)                                 35.925           33.943             1.06       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC4, CV_32F)                                 66.493           29.692             2.24       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC4, CV_32S)                                 54.737           28.250             1.94       
integral::Size_MatType_OutMatDepth::(1920x1080, 8UC4, CV_64F)                                 91.880           57.495             1.60            
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC1, CV_32F)                             4.384             4.016             1.09       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC1, CV_32S)                             3.676             3.960             0.93       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC1, CV_64F)                             5.620             5.224             1.08       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC2, CV_32F)                             9.971             7.696             1.30       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC2, CV_32S)                             8.934             7.632             1.17       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC2, CV_64F)                             9.927             9.759             1.02       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC4, CV_32F)                             21.556           12.288             1.75       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC4, CV_32S)                             21.261           12.089             1.76       
integral_sqsum::Size_MatType_OutMatDepth::(640x480, 8UC4, CV_64F)                             23.989           16.278             1.47       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC1, CV_32F)                            15.232           11.752             1.30       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC1, CV_32S)                            12.976           11.721             1.11       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC1, CV_64F)                            16.450           15.627             1.05       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC2, CV_32F)                            25.932           23.243             1.12       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC2, CV_32S)                            24.750           23.019             1.08       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC2, CV_64F)                            28.228           29.605             0.95       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC4, CV_32F)                            61.665           37.477             1.65       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC4, CV_32S)                            61.536           37.126             1.66       
integral_sqsum::Size_MatType_OutMatDepth::(1280x720, 8UC4, CV_64F)                            73.989           48.994             1.51       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC1, CV_32F)                           49.640           26.529             1.87       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC1, CV_32S)                           35.869           26.417             1.36       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC1, CV_64F)                           34.378           35.056             0.98       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC2, CV_32F)                           82.138           52.661             1.56       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC2, CV_32S)                           54.644           52.089             1.05       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC2, CV_64F)                           75.073           66.670             1.13       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC4, CV_32F)                          143.283           83.943             1.71       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC4, CV_32S)                          156.851           82.378             1.90       
integral_sqsum::Size_MatType_OutMatDepth::(1920x1080, 8UC4, CV_64F)                          521.594           111.375            4.68            
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC1, DEPTH_32F_32F))          3.529             2.787             1.27       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC1, DEPTH_32F_64F))          4.396             3.998             1.10       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC1, DEPTH_32S_32F))          3.229             2.774             1.16       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC1, DEPTH_32S_32S))          2.945             2.780             1.06       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC1, DEPTH_32S_64F))          3.857             3.995             0.97       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC1, DEPTH_64F_64F))          5.872             5.228             1.12       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (16UC1, DEPTH_64F_64F))         6.075             5.277             1.15       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (16SC1, DEPTH_64F_64F))         5.680             5.296             1.07       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC1, DEPTH_32F_32F))         3.355             2.896             1.16       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC1, DEPTH_32F_64F))         4.183             4.000             1.05       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC1, DEPTH_64F_64F))         6.237             5.143             1.21       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (64FC1, DEPTH_64F_64F))         4.753             4.783             0.99       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC2, DEPTH_32F_32F))          8.021             5.793             1.38       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC2, DEPTH_32F_64F))          9.963             7.704             1.29       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC2, DEPTH_32S_32F))          7.864             5.720             1.37       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC2, DEPTH_32S_32S))          7.141             5.699             1.25       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC2, DEPTH_32S_64F))          9.228             7.646             1.21       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC2, DEPTH_64F_64F))          9.940             9.759             1.02       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (16UC2, DEPTH_64F_64F))         10.606            9.716             1.09       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (16SC2, DEPTH_64F_64F))         9.933             9.751             1.02       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC2, DEPTH_32F_32F))         7.986             5.962             1.34       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC2, DEPTH_32F_64F))         9.243             7.598             1.22       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC2, DEPTH_64F_64F))         10.573            9.425             1.12       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (64FC2, DEPTH_64F_64F))         11.029            8.977             1.23       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC4, DEPTH_32F_32F))          17.236            8.881             1.94       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC4, DEPTH_32F_64F))          20.905           12.322             1.70       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC4, DEPTH_32S_32F))          16.011            8.666             1.85       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC4, DEPTH_32S_32S))          15.932            8.507             1.87       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC4, DEPTH_32S_64F))          20.713           12.115             1.71       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (8UC4, DEPTH_64F_64F))          23.953           16.284             1.47       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (16UC4, DEPTH_64F_64F))         25.127           16.341             1.54       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (16SC4, DEPTH_64F_64F))         24.950           16.441             1.52       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC4, DEPTH_32F_32F))         17.261            8.906             1.94       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC4, DEPTH_32F_64F))         21.944           12.073             1.82       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (32FC4, DEPTH_64F_64F))         25.921           15.539             1.67       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(640x480, (64FC4, DEPTH_64F_64F))         27.938           14.824             1.88       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC1, DEPTH_32F_32F))         11.156            8.260             1.35       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC1, DEPTH_32F_64F))         14.777           11.869             1.24       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC1, DEPTH_32S_32F))         9.693             8.221             1.18       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC1, DEPTH_32S_32S))         9.023             8.256             1.09       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC1, DEPTH_32S_64F))         13.276           11.821             1.12       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC1, DEPTH_64F_64F))         15.406           15.618             0.99       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (16UC1, DEPTH_64F_64F))        16.799           15.749             1.07       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (16SC1, DEPTH_64F_64F))        15.054           15.806             0.95       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC1, DEPTH_32F_32F))        10.055            7.999             1.26       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC1, DEPTH_32F_64F))        13.506           11.253             1.20       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC1, DEPTH_64F_64F))        14.952           15.021             1.00       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (64FC1, DEPTH_64F_64F))        13.761           14.002             0.98       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC2, DEPTH_32F_32F))         22.677           17.330             1.31       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC2, DEPTH_32F_64F))         26.283           23.237             1.13       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC2, DEPTH_32S_32F))         20.126           17.118             1.18       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC2, DEPTH_32S_32S))         19.337           17.041             1.13       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC2, DEPTH_32S_64F))         24.973           23.004             1.09       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC2, DEPTH_64F_64F))         29.959           29.585             1.01       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (16UC2, DEPTH_64F_64F))        33.598           29.599             1.14       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (16SC2, DEPTH_64F_64F))        46.213           29.741             1.55       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC2, DEPTH_32F_32F))        33.077           17.556             1.88       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC2, DEPTH_32F_64F))        33.960           22.991             1.48       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC2, DEPTH_64F_64F))        41.792           28.803             1.45       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (64FC2, DEPTH_64F_64F))        34.660           28.532             1.21       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC4, DEPTH_32F_32F))         52.989           27.659             1.92       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC4, DEPTH_32F_64F))         62.418           37.515             1.66       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC4, DEPTH_32S_32F))         50.902           27.310             1.86       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC4, DEPTH_32S_32S))         47.301           27.019             1.75       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC4, DEPTH_32S_64F))         61.982           37.140             1.67       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (8UC4, DEPTH_64F_64F))         79.403           49.041             1.62       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (16UC4, DEPTH_64F_64F))        86.550           49.180             1.76       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (16SC4, DEPTH_64F_64F))        85.715           49.468             1.73       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC4, DEPTH_32F_32F))        63.932           28.019             2.28       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC4, DEPTH_32F_64F))        68.180           36.858             1.85       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (32FC4, DEPTH_64F_64F))        83.063           46.483             1.79       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1280x720, (64FC4, DEPTH_64F_64F))        91.990           44.545             2.07       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC1, DEPTH_32F_32F))        25.503           18.609             1.37       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC1, DEPTH_32F_64F))        29.544           26.635             1.11       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC1, DEPTH_32S_32F))        22.581           18.514             1.22       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC1, DEPTH_32S_32S))        20.860           18.547             1.12       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC1, DEPTH_32S_64F))        26.046           26.373             0.99       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC1, DEPTH_64F_64F))        34.831           34.997             1.00       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (16UC1, DEPTH_64F_64F))       36.428           35.214             1.03       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (16SC1, DEPTH_64F_64F))       32.435           35.314             0.92       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC1, DEPTH_32F_32F))       22.548           18.845             1.20       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC1, DEPTH_32F_64F))       28.589           25.790             1.11       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC1, DEPTH_64F_64F))       32.625           33.791             0.97       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (64FC1, DEPTH_64F_64F))       30.158           31.889             0.95       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC2, DEPTH_32F_32F))        53.374           38.938             1.37       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC2, DEPTH_32F_64F))        73.892           52.747             1.40       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC2, DEPTH_32S_32F))        47.392           38.572             1.23       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC2, DEPTH_32S_32S))        45.638           38.225             1.19       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC2, DEPTH_32S_64F))        69.966           52.156             1.34       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC2, DEPTH_64F_64F))        68.560           66.963             1.02       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (16UC2, DEPTH_64F_64F))       71.487           65.420             1.09       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (16SC2, DEPTH_64F_64F))       68.127           65.718             1.04       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC2, DEPTH_32F_32F))       72.967           39.987             1.82       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC2, DEPTH_32F_64F))       63.933           51.408             1.24       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC2, DEPTH_64F_64F))       73.334           63.354             1.16       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (64FC2, DEPTH_64F_64F))       80.983           60.778             1.33       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC4, DEPTH_32F_32F))       116.981           59.908             1.95       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC4, DEPTH_32F_64F))       155.085           83.974             1.85       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC4, DEPTH_32S_32F))       109.567           58.525             1.87       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC4, DEPTH_32S_32S))       105.457           57.124             1.85       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC4, DEPTH_32S_64F))       157.325           82.485             1.91       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (8UC4, DEPTH_64F_64F))       265.776           111.577            2.38       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (16UC4, DEPTH_64F_64F))      585.218           110.583            5.29       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (16SC4, DEPTH_64F_64F))      585.418           111.302            5.26       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC4, DEPTH_32F_32F))      126.456           60.415             2.09       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC4, DEPTH_32F_64F))      169.278           81.460             2.08       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (32FC4, DEPTH_64F_64F))      281.256           104.732            2.69       
integral_sqsum_full::Size_MatType_OutMatDepthArray::(1920x1080, (64FC4, DEPTH_64F_64F))      620.885           99.953             6.21       
```

The vectorized implementation shows progressively better acceleration for larger image sizes and higher channel counts, achieving up to 6.21× speedup for 64FC4 (1920×1080) inputs with `DEPTH_64F_64F` configuration.

This is my first time proposing patch for the OpenCV Project 🥹, if there's anything that can be improved, please tell me.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-04-21 09:50:13 +03:00
Yuantao Feng 11e46cda86 Merge pull request #27201 from fengyuentau:4x/hal_rvv/dotprod
HAL: implemented cv_hal_dotProduct in hal_rvv #27201

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-04-21 09:05:52 +03:00
utibenkei d42b6f438e Enable Java bindings for SimpleBlobDetector::blobColor
The C++ uchar type is properly mapped to Java byte type.
2025-04-20 15:57:41 +09:00
quic-xuezha b5d38ea4cb Merge pull request #27217 from CodeLinaro:gaussianBlur_hal_fix
Optimize gaussian blur performance in FastCV HAL #27217

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-04-17 09:56:58 +03:00
Alexander Smorkalov 767dd838d3 Merge pull request #27192 from ddennedy:cmake4
Fix configuring with CMake version 4
2025-04-16 19:05:18 +03:00
adsha-quic 6ffc515b2a Merge pull request #27182 from CodeLinaro:boxFilter_hal_changes
Parallel_for in box Filter and support for 32f box filter in Fastcv hal #27182

Added parallel_for in box filter hal and support for 32f box filter

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-04-16 18:33:38 +03:00
Alexander Smorkalov 3962803e7a Merge pull request #27216 from CodeLinaro:xuezha_3rdPost
Add SVD into FastCV HAL
2025-04-16 17:48:36 +03:00
Alexander Smorkalov 5170f56a1e Merge pull request #27234 from asmorkalov:fastcv_lib_hash_update
CMake tuning after FastCV binaries update
2025-04-16 17:23:28 +03:00
Alexander Smorkalov 250ea3d7c6 Fixed Android build with FastCV. 2025-04-16 16:26:05 +03:00
adsha-quic ba6eb8d952 Merge pull request #27214 from CodeLinaro:fastcv_lib_hash_update
Adding latest FastCV static libs
updated libs PR: [opencv/opencv_3rdparty/pull/94](https://github.com/opencv/opencv_3rdparty/pull/94)


### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-04-16 16:24:40 +03:00
Alexander Smorkalov 050dfab749 Merge pull request #27218 from gfrankliu:tbb-lib-upgrade
upgrade tbb to version 2022.1.0
2025-04-16 15:29:09 +03:00
Souriya Trinh 7f7be9bab0 Add additional information about homogeneous transformations. Add quick formulas for conversions between physical focal length, sensor size, fov and camera intrinsic params. 2025-04-13 22:28:11 +02:00
Alexander Smorkalov 6ef5746391 Merge pull request #27194 from asmorkalov:as/ipp_transpose
Migrated IPP impl for flip and transpose to HAL
2025-04-10 21:04:46 +03:00
Kumataro c1d71d5375 Merge pull request #27220 from Kumataro:fix24757
imgproc: disable SIMD for compareHist(INTERSECT) if f64 is unsupported #27220

Close https://github.com/opencv/opencv/issues/24757

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-04-10 17:24:01 +03:00
Frank Liu 70ab545b90 upgrade tbb to version 2022.1.0
upgrade tbb from version 2021.11.0 to 2022.1.0 to fix https://github.com/opencv/opencv/issues/25187
2025-04-09 22:57:08 -07:00
Alexander Smorkalov fa7a0c1e12 Migrated IPP impl for flip and transpose to HAL. 2025-04-10 08:51:12 +03:00
Xue Zhang 0d092c7b1e Add SVD into HAL 2025-04-10 10:51:25 +05:30
Alexander Smorkalov db9df33d33 Merge pull request #27213 from asmorkalov:as/ipp_cart_polar
Transfer IPP polarToCart to HAL
2025-04-10 07:48:42 +03:00
Alexander Smorkalov 78662ac085 Transfer IPP polarToCart to HAL. 2025-04-09 19:13:18 +03:00
Alexander Smorkalov 09a85e97aa Merge pull request #27196 from FurkanTahaSaranda:patch-1
Update js_houghcircles_HoughCirclesP.html
2025-04-08 09:10:39 +03:00
Alexander Smorkalov e826a41eeb Merge pull request #27202 from asmorkalov:as/drop_ipp_lut
Dropped inefficient (disabled) IPP integration for LUT.
2025-04-08 09:07:52 +03:00
Alexander Smorkalov e148a2c4aa Merge pull request #27203 from asmorkalov:as/drop_dead_ipp_convertTo
Drop commented out convertTo impl with IPP.
2025-04-08 09:07:13 +03:00
Alexander Smorkalov 8f74086d3f Drop commented out convertTo impl with IPP. 2025-04-07 14:18:37 +03:00
Alexander Smorkalov 91e078be93 Dropped inefficient (disabled) IPP integration for LUT. 2025-04-07 14:11:13 +03:00
Yuantao Feng 1b3db545a3 Merge pull request #27145 from fengyuentau:4x/core/copyMask-simd
core: further vectorize copyTo with mask #27145

Merge with https://github.com/opencv/opencv_extra/pull/1247.

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-04-07 10:56:02 +03:00
Yuantao Feng 81859255ca Merge pull request #27175 from fengyuentau:4x/hal_rvv/div_recip
HAL: implemented cv_hal_div* and cv_hal_recip* in hal_rvv #27175

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-04-07 10:36:19 +03:00
FurkanTahaSaranda 55a4a713fd Update js_houghcircles_HoughCirclesP.html 2025-04-04 17:36:42 +03:00
Alexander Smorkalov 0b3155980a Merge pull request #25394 from Gao-HaoYuan:in_place_convertTo
Added reinterpret() method to Mat to convert meta-data without actual data conversion
2025-04-04 10:40:33 +03:00
Alexander Smorkalov d49dee83bf Merge pull request #27193 from mshabunin:fix-v4l-size
videoio: fixed V4L frame size for non-BGR output
2025-04-03 09:49:36 +03:00
Maksim Shabunin 3f9ed93da2 videoio: fixed V4L frame size for non-BGR output 2025-04-03 07:09:52 +03:00
Dan Dennedy cb8030809e Fix configuring with CMake version 4
fixes #27122
2025-04-02 13:45:08 -07:00
Maxim Smolskiy c8e88d8984 Merge pull request #27185 from MaximSmolskiy:specify_dls_and_upnp_mappings_to_epnp_in_all_places_for_solvepnp_tests
Specify DLS and UPnP mappings to EPnP in all places for solvePnP* tests #27185

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-04-02 21:21:56 +03:00
Alexander Smorkalov 8b4b382fa4 Merge pull request #27029 from mshabunin:fix-openblas
build: fix OpenBLAS detection on Linux
2025-04-01 08:13:48 +03:00
Maksim Shabunin 009fdbbea2 build: fix OpenBLAS detection on Linux 2025-03-31 18:54:39 +03:00
Kumataro 09c71aed14 Merge pull request #27107 from Kumataro:fix27105
build: Check supported C++ standard features and user setting #27107

Close #27105 

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-03-31 11:31:14 +03:00
Kumataro 1f468dd586 Merge pull request #27169 from Kumataro:fix27168
Imgcodec: gif: remove unnecessary warning #27169

Close https://github.com/opencv/opencv/issues/27168

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-31 11:01:22 +03:00
Yuantao Feng ec1cbe294a Merge pull request #27162 from fengyuentau:4x/hal_rvv/copyMask
HAL: added copyToMask and implemented in hal_rvv #27162

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-31 10:49:37 +03:00
sujal 8c7288676e Merge pull request #26682 from 5usu:4.x
Adding AddRgbFeature(), and improving robustness in ComputeRgbDistance().

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-31 09:47:34 +03:00
Alexander Smorkalov 9d34a88597 Merge pull request #27174 from MaximSmolskiy:more_elegant_skipping_SOLVEPNP_IPPE_methods_in_non_planar-accuracy-tests-for_solvePnP
More elegant skipping SOLVEPNP_IPPE* methods in non-planar accuracy tests for solvePnP*
2025-03-31 09:09:35 +03:00
Alexander Smorkalov d0c5a04ddb Merge pull request #27170 from Osse:qt-fix-closing-window
Fix closing of windows when using the Qt backend
2025-03-31 08:58:23 +03:00
天音あめ 14e1f6ce96 Merge pull request #27160 from amane-ame:resize_hal_rvv
Add RISC-V HAL implementation for cv::resize #27160

This patch implements `cv_hal_resize` using native intrinsics, optimizing the performance of `cv::resize` for `CV_INTER_NEAREST/CV_INTER_NEAREST_EXACT/CV_INTER_LINEAR/CV_INTER_LINEAR_EXACT/CV_INTER_AREA` modes.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.1.

```
$ ./opencv_test_imgproc --gtest_filter="*Resize*:*resize*"
$ ./opencv_perf_imgproc --gtest_filter="*Resize*:*resize*" --perf_min_samples=300 --perf_force_samples=300
```

View the full perf table here: [hal_rvv_resize.pdf](https://github.com/user-attachments/files/19480756/hal_rvv_resize.pdf)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-03-31 08:19:18 +03:00
MaximSmolskiy 289884adc5 More elegant skipping SOLVEPNP_IPPE* methods in non-planar accuracy tests for solvePnP* 2025-03-30 17:00:11 +03:00
Ryan Wong afc7c0a89c Merge pull request #27154 from kinchungwong:logging_callback_simple_c
User-defined logger callback, C-style. #27154

This is a competing PR, an alternative to #27140 

Both functions accept C-style pointer to static functions. Both functions allow restoring the OpenCV built-in implementation by passing in a nullptr.
- replaceWriteLogMessage
- replaceWriteLogMessageEx

This implementation is not compatible with C++ log handler objects.

This implementation has minimal thread safety, in the sense that the function pointer are stored and read atomically. But otherwise, the user-defined static functions must accept calls at all times, even after having been deregistered, because some log calls may have started before deregistering.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-03-30 16:17:07 +03:00
Alexander Smorkalov 767407e711 Merge pull request #27164 from cudawarped:cmake_add_comment_for_cmp0104
cuda:: Add comment describing code around enable_language(CUDA) in CMakeLists.txt
2025-03-30 13:36:29 +03:00
Øystein Walle 6b4ef1dccd Fix closing of windows when using the Qt backend
Notify the main GUI thread upon receiving a close event instead of when
the windows is destroyed. Additionally there was a logic error in in
GuiReceiver::isLastWindow() that is corrected.

Fixes #6479 and #20822
2025-03-28 14:59:15 +01:00
cudawarped 3d5ab56a68 Add comment for CMake 3.18+: if CMAKE_CUDA_ARCHITECTURES is empty enable_language(CUDA) sets it to the default architecture chosen by the compiler, to trigger the OpenCV custom CUDA architecture search an empty value needs to be respected see https://github.com/opencv/opencv/pull/25941. 2025-03-27 16:40:01 +02:00
Vincent Rabaud 42a132088c Merge pull request #27138 from vrabaud:lzw
Fix heap buffer overflow and use after free in imgcodecs #27138

This fixes:
- https://g-issues.oss-fuzz.com/issues/405243132
- https://g-issues.oss-fuzz.com/issues/405456349

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-26 17:14:50 +03:00
Alexander Smorkalov 8e2826ddd6 Merge pull request #27142 from asmorkalov:as/cuda_standard_all
Set C++ standard for all CUDA configurations
2025-03-26 08:53:16 +03:00
Alexander Smorkalov 9a1f71c14b Merge pull request #27148 from Kumataro:fix27129
doc: js: unwrap promise-typed cv object
2025-03-26 08:50:53 +03:00
Kumataro 8948faa394 doc: unwrap promise-typed cv object 2025-03-25 23:16:19 +09:00
Alexander Smorkalov 68a595d88b Set C++ standard for all CUDA configurations. 2025-03-25 16:47:12 +03:00
Alexander Smorkalov c72c527bfe Merge pull request #27144 from asmorkalov:as/fix_doc_stereobm
Fixed JavaDoc generation for StereoBM.
2025-03-25 16:36:33 +03:00
Alexander Smorkalov ae443a904b Fixed JavaDoc generation for StereoBM. 2025-03-25 12:33:58 +03:00
天音あめ fa58c1205b Merge pull request #27119 from amane-ame:warp_hal_rvv
Add RISC-V HAL implementation for cv::warp series #27119

This patch implements `cv_hal_remap`, `cv_hal_warpAffine` and `cv_hal_warpPerspective` using native intrinsics, optimizing the performance of `cv::remap/cv::warpAffine/cv::warpPerspective` for `CV_HAL_INTER_NEAREST/CV_HAL_INTER_LINEAR/CV_HAL_INTER_CUBIC/CV_HAL_INTER_LANCZOS4` modes.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_imgproc --gtest_filter="*Remap*:*Warp*"
$ ./opencv_perf_imgproc --gtest_filter="*Remap*:*remap*:*Warp*" --perf_min_samples=200 --perf_force_samples=200
```

View the full perf table here: [hal_rvv_warp.pdf](https://github.com/user-attachments/files/19403718/hal_rvv_warp.pdf)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-03-25 11:57:47 +03:00
Gianluca Nordio 931af518d9 Merge pull request #27139 from GianlucaNordio:patch-4
Fix minAreaRect and boxPoints docs (#26799) #27139

As requested from issue #26799 the docs regarding minAreaRect and boxPoints are extended specifying the order of the corners for boxPoints and the way the angle is computed for the rotated rect returned by minAreaRect
2025-03-25 09:30:56 +03:00
Yuantao Feng a2a2f37ebb Merge pull request #27115 from fengyuentau:4x/hal_rvv/normDiff
core: refactored normDiff in hal_rvv and extended with support of more data types #27115 

Merge wtih https://github.com/opencv/opencv_extra/pull/1246.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-25 07:59:59 +03:00
Alexander Smorkalov 7d87f3cda6 Merge pull request #27132 from MaximSmolskiy:add_planar_accuracy_tests_for_solvePnPRansac
Add planar accuracy tests for solvePnPRansac
2025-03-24 10:46:08 +03:00
Alexander Smorkalov 4f4767cb9c Merge pull request #27125 from asmorkalov:as/ipp_minmax
Move IPP minMaxIdx to HAL
2025-03-24 10:33:32 +03:00
Alexander Smorkalov bc5545c3e6 Merge pull request #27133 from shyama7004:fix-ptp
minor changes : Replace ndarray.ptp() with np.ptp() for NumPy 2.0 Compatibility
2025-03-24 10:11:44 +03:00
Alexander Smorkalov d6966f82a3 Merge pull request #27130 from Ma-gi-cian:add-stereobm-docs
Add documentation for StereoBM parameters (fixes #26816)
2025-03-24 09:31:03 +03:00
Alexander Smorkalov a77623a32b Move IPP minMaxIdx to HAL. 2025-03-24 09:21:22 +03:00
Alexander Smorkalov 0944f7ad26 Merge pull request #27128 from asmorkalov:as/ipp_norm
Move IPP norm and normDiff to HAL #27128

Continues https://github.com/opencv/opencv/pull/26880

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-03-24 09:17:22 +03:00
shyama7004 ef474e06fc minor changes : Replace ndarray.ptp() with np.ptp() for NumPy 2.0 Compatibility 2025-03-23 23:38:33 +05:30
MaximSmolskiy 5db60e1621 Add planar accuracy tests for solvePnPRansac 2025-03-23 18:24:10 +03:00
Aditya Jha 64535757df Add documentation for StereoBM parameters (fixes #26816) 2025-03-23 13:18:17 +05:30
Onuralp SEZER ce1398882d fix(android): Kotlin 2.0 internal error for unsafe coercions
Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
2025-03-22 18:34:26 +03:00
Alexander Smorkalov 01ef38dcad Merge pull request #26880 from asmorkalov:as/ipp_hal
Initial version of IPP-based HAL for x86 and x86_64 platforms #26880

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-03-22 09:31:42 +03:00
Alexander Smorkalov 8566930922 Merge pull request #27114 from CyberWarrior5466:4.x
Update old URL
2025-03-21 15:23:54 +03:00
cudawarped 1d9dda3f09 Merge pull request #27112 from cudawarped:add_cuda_c++17
cuda: Force C++17 Standard for CUDA targets when CUDA Toolkit >=12.8 #27112

Fix https://github.com/opencv/opencv/issues/27095.

### Pull Request Readiness Checklist

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2025-03-21 14:41:49 +03:00
Alexander Smorkalov afc4a9ac51 Merge pull request #25027 from opencv-pushbot:gitee/alalek/tests_filter_debug
video(test): filter very long debug tests
2025-03-21 10:22:17 +03:00
天音あめ 46bd22abad Fix RISC-V HAL solve:SVD and BGRtoLab (#27046)
Fix RISC-V HAL solve/SVD and BGRtoLab #27046

Closes #27044.

Also suppressed some warnings in other HAL.

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2025-03-21 10:18:51 +03:00
Ali Saleem 4e488a0b16 Update old URL 2025-03-20 19:45:58 +00:00
Scorpion1234567 2e9345570f Merge pull request #27108 from Scorpion1234567:Multithreading-wrapPolar
When WARP_INVERSE_MAP is used, accelerate the calculation with multi-threading #27108

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2025-03-20 17:46:18 +03:00
Vincent Rabaud c10b800837 Merge pull request #27081 from vrabaud:lzw
GIF: Make sure to resize lzwExtraTable before each block #27081

This fixes https://g-issues.oss-fuzz.com/issues/403364362

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2025-03-20 17:31:47 +03:00
Alexander Smorkalov 41e3fcc73e Merge pull request #27087 from sturkmen72:apng_CV_16U
Fixing imread() function 16 bit APNG reading problem
2025-03-20 17:29:45 +03:00
天音あめ ec5f7bb9f1 Merge pull request #27097 from amane-ame:blur_hal_rvv
Add RISC-V HAL implementation for cv::blur series #27097

This patch implements `cv_hal_gaussianBlurBinomial`, `cv_hal_medianBlur`, `cv_hal_boxFilter` and `cv_hal_bilateralFilter` using native intrinsics, optimizing the performance of `cv::GaussianBlur/cv::medianBlur/cv::boxFilter/cv::bilateralFilter` for `3x3/5x5` kernels.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_imgproc --gtest_filter="*Filter*:*Blur*"
$ ./opencv_perf_imgproc --gtest_filter="*gauss*:*box*:*Bilateral*:*median*" --perf_min_samples=2000 --perf_force_samples=2000
```

View the full perf table here: [hal_rvv_blur.pdf](https://github.com/user-attachments/files/19335582/hal_rvv_blur.pdf)

### Pull Request Readiness Checklist

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2025-03-20 12:59:59 +03:00
Alexander Smorkalov 50072f8d4f Merge pull request #27089 from amane-ame:hist_hal_rvv
Add RISC-V HAL implementation for cv::equalizeHist
2025-03-20 12:21:00 +03:00
天音あめ 46fbe1895a Merge pull request #27096 from amane-ame:moments_hal_rvv
Add RISC-V HAL implementation for cv::moments #27096

This patch implements `cv_hal_imageMoments` using native intrinsics, optimizing the performance of `cv::moments` for data types `CV_16U/CV_16S/CV_32F/CV_64F`.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_imgproc --gtest_filter="*Moments*"
$ ./opencv_perf_imgproc --gtest_filter="*Moments*" --perf_min_samples=1000 --perf_force_samples=1000
```

![image](https://github.com/user-attachments/assets/0efbae10-c022-4f15-a81c-682514cdb372)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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2025-03-20 10:50:06 +03:00
Alexander Smorkalov 67ffb230f1 Merge pull request #27104 from JavaTypedScript:fix#27092
fixed typo
2025-03-20 08:59:02 +03:00
Suleyman TURKMEN 0ed5556cee Add a test to check whether cv::imread successfully reads 16-bit APNG images.
Make proper fixes to pass the test
2025-03-19 21:08:01 +03:00
JavaTypedScript 259ec3674d fixed typo 2025-03-19 21:38:08 +05:30
Kumataro 3e43d0cfca Merge pull request #26971 from Kumataro:fix26970
imgcodecs: gif: support animated gif without loop #26971

Close #26970

### Pull Request Readiness Checklist

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2025-03-19 14:24:08 +03:00
amane-ame b902a8e792 Add equalize_hist.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-18 15:53:05 +08:00
Yuantao Feng 8207549638 Merge pull request #26991 from fengyuentau:4x/core/norm2hal_rvv
core: improve norm of hal rvv #26991

Merge with https://github.com/opencv/opencv_extra/pull/1241

### Pull Request Readiness Checklist

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2025-03-18 09:42:55 +03:00
天音あめ 0142231e4d Merge pull request #27072 from amane-ame:thresh_hal_rvv
Add RISC-V HAL implementation for cv::threshold and cv::adaptiveThreshold #27072

This patch implements `cv_hal_threshold_otsu` and `cv_hal_adaptiveThreshold` using native intrinsics, optimizing the performance of `cv::threshold(THRESH_OTSU)` and `cv::adaptiveThreshold`.

Since UI is as fast as HAL `cv_hal_rvv::threshold::threshold` so `cv_hal_threshold` is not redirected, but this part of HAL is keeped because `cv_hal_threshold_otsu` depends on it.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_imgproc --gtest_filter="*thresh*:*Thresh*"
$ ./opencv_perf_imgproc --gtest_filter="*otsu*:*adaptiveThreshold*" --perf_min_samples=1000 --perf_force_samples=1000
```

![image](https://github.com/user-attachments/assets/4bb953f8-8589-4af1-8f1c-99e2c506be3c)

### Pull Request Readiness Checklist

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2025-03-18 09:24:00 +03:00
iiiuhuy 855f20fdfe Merge pull request #27082 from iiiuhuy:fix_bug
displayOverlay doesn't disappear after timeout #27082

Fixes #26555

### Expected Behaviour
An overlay should be displayed atop an image and then disappear after `delayms` has timed out, but it doesn't. Also, `displayStatusBar` doesn't appear to set any text on the window.

### Actual Behaviour
The overlay appears but doesn't disappear unless a mouse move event happens on the image.

### Changes
- Fixed the issue with `displayOverlay` not disappearing after the timeout.

### Checklist
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV.
- [x] The PR is proposed to the proper branch.
- [x] There is a reference to the original bug report and related work.
- [ ] There is accuracy test, performance test, and test data in the opencv_extra repository, if applicable.
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2025-03-17 19:36:06 +03:00
GenshinImpactStarts 2090407002 Merge pull request #26999 from GenshinImpactStarts:polar_to_cart
[HAL RVV] unify and impl polar_to_cart | add perf test #26999

### Summary

1. Implement through the existing `cv_hal_polarToCart32f` and `cv_hal_polarToCart64f` interfaces.
2. Add `polarToCart` performance tests
3. Make `cv::polarToCart` use CALL_HAL in the same way as `cv::cartToPolar`
4. To achieve the 3rd point, the original implementation was moved, and some modifications were made.

Tested through:
```sh
opencv_test_core --gtest_filter="*PolarToCart*:*Core_CartPolar_reverse*" 
opencv_perf_core --gtest_filter="*PolarToCart*" --perf_min_samples=300 --perf_force_samples=300
```

### HAL performance test

***UPDATE***: Current implementation is no more depending on vlen.

**NOTE**: Due to the 4th point in the summary above, the `scalar` and `ui` test is based on the modified code of this PR. The impact of this patch on `scalar` and `ui` is evaluated in the next section, `Effect of Point 4`.

Vlen 256 (Muse Pi):
```
                   Name of Test                     scalar    ui     rvv       ui        rvv    
                                                                               vs         vs    
                                                                             scalar     scalar  
                                                                           (x-factor) (x-factor)
PolarToCart::PolarToCartFixture::(127x61, 32FC1)     0.315  0.110  0.034     2.85       9.34   
PolarToCart::PolarToCartFixture::(127x61, 64FC1)     0.423  0.163  0.045     2.59       9.34   
PolarToCart::PolarToCartFixture::(640x480, 32FC1)   13.695  4.325  1.278     3.17      10.71   
PolarToCart::PolarToCartFixture::(640x480, 64FC1)   17.719  7.118  2.105     2.49       8.42   
PolarToCart::PolarToCartFixture::(1280x720, 32FC1)  40.678  13.114 3.977     3.10      10.23   
PolarToCart::PolarToCartFixture::(1280x720, 64FC1)  53.124  21.298 6.519     2.49       8.15   
PolarToCart::PolarToCartFixture::(1920x1080, 32FC1) 95.158  29.465 8.894     3.23      10.70   
PolarToCart::PolarToCartFixture::(1920x1080, 64FC1) 119.262 47.743 14.129    2.50       8.44   
```

### Effect of Point 4

To make `cv::polarToCart` behave the same as `cv::cartToPolar`, the implementation detail of the former has been moved to the latter's location (from `mathfuncs.cpp` to `mathfuncs_core.simd.hpp`).

#### Reason for Changes:

This function works as follows:  
$y = \text{mag} \times \sin(\text{angle})$ and $x = \text{mag} \times \cos(\text{angle})$. The original implementation first calculates the values of $\sin$ and $\cos$, storing the results in the output buffers $x$ and $y$, and then multiplies the result by $\text{mag}$. 

However, when the function is used as an in-place operation (one of the output buffers is also an input buffer), the original implementation allocates an extra buffer to store the $\sin$ and $\cos$ values in case the $\text{mag}$ value gets overwritten. This extra buffer allocation prevents `cv::polarToCart` from functioning in the same way as `cv::cartToPolar`.

Therefore, the multiplication is now performed immediately without storing intermediate values. Since the original implementation also had AVX2 optimizations, I have applied the same optimizations to the AVX2 version of this implementation.

***UPDATE***: UI use v_sincos from #25892 now. The original implementation has AVX2 optimizations but is slower much than current UI so it's removed, and AVX2 perf test is below. Scalar implementation isn't changed because it's faster than using UI's method.

#### Test Result

`scalar` and `ui` test is done on Muse PI, and AVX2 test is done on Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz.

`scalar` test:
```
                   Name of Test                      orig     pr        pr    
                                                                        vs    
                                                                       orig   
                                                                    (x-factor)
PolarToCart::PolarToCartFixture::(127x61, 32FC1)     0.333   0.294     1.13   
PolarToCart::PolarToCartFixture::(127x61, 64FC1)     0.385   0.403     0.96   
PolarToCart::PolarToCartFixture::(640x480, 32FC1)   14.749  12.343     1.19   
PolarToCart::PolarToCartFixture::(640x480, 64FC1)   19.419  16.743     1.16   
PolarToCart::PolarToCartFixture::(1280x720, 32FC1)  44.155  37.822     1.17   
PolarToCart::PolarToCartFixture::(1280x720, 64FC1)  62.108  50.358     1.23   
PolarToCart::PolarToCartFixture::(1920x1080, 32FC1) 99.011  85.769     1.15   
PolarToCart::PolarToCartFixture::(1920x1080, 64FC1) 127.740 112.874    1.13   
```

`ui` test:
```
                   Name of Test                      orig     pr        pr    
                                                                        vs    
                                                                       orig   
                                                                    (x-factor)
PolarToCart::PolarToCartFixture::(127x61, 32FC1)     0.306  0.110     2.77   
PolarToCart::PolarToCartFixture::(127x61, 64FC1)     0.455  0.163     2.79   
PolarToCart::PolarToCartFixture::(640x480, 32FC1)   13.381  4.325     3.09   
PolarToCart::PolarToCartFixture::(640x480, 64FC1)   21.851  7.118     3.07   
PolarToCart::PolarToCartFixture::(1280x720, 32FC1)  39.975  13.114    3.05   
PolarToCart::PolarToCartFixture::(1280x720, 64FC1)  67.006  21.298    3.15   
PolarToCart::PolarToCartFixture::(1920x1080, 32FC1) 90.362  29.465    3.07   
PolarToCart::PolarToCartFixture::(1920x1080, 64FC1) 129.637 47.743    2.72   
```

AVX2 test:
```
                   Name of Test                     orig   pr       pr    
                                                                    vs    
                                                                   orig   
                                                                (x-factor)
PolarToCart::PolarToCartFixture::(127x61, 32FC1)    0.019 0.009    2.11   
PolarToCart::PolarToCartFixture::(127x61, 64FC1)    0.022 0.013    1.74   
PolarToCart::PolarToCartFixture::(640x480, 32FC1)   0.788 0.355    2.22   
PolarToCart::PolarToCartFixture::(640x480, 64FC1)   1.102 0.618    1.78   
PolarToCart::PolarToCartFixture::(1280x720, 32FC1)  2.383 1.042    2.29   
PolarToCart::PolarToCartFixture::(1280x720, 64FC1)  3.758 2.316    1.62   
PolarToCart::PolarToCartFixture::(1920x1080, 32FC1) 5.577 2.559    2.18   
PolarToCart::PolarToCartFixture::(1920x1080, 64FC1) 9.710 6.424    1.51   
```

A slight performance loss occurs because the check for whether $mag$ is nullptr is performed with every calculation, instead of being done once per batch. This is to reuse current `SinCos_32f` function.

### Pull Request Readiness Checklist

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2025-03-17 14:16:09 +03:00
Maxim Smolskiy b6f213a8c7 Merge pull request #27079 from MaximSmolskiy:add-test-for-ArucoDetector-detectMarkers
Add test for ArucoDetector::detectMarkers #27079

### Pull Request Readiness Checklist

Related to #26968 and #26922

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
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2025-03-17 11:24:46 +03:00
Alexander Smorkalov 0a39f98bee Merge pull request #27067 from amane-ame:sepfilter_optimize
Optimize RISC-V HAL cv::sepFilter
2025-03-17 09:21:33 +03:00
Liutong HAN 6eaaaa410e Merge pull request #27056 from hanliutong:rvv-hal-copyright
[RVV HAL] Add copyright and replace '#pragma once'. #27056

Add copyright and in RVV HAL, since other companies or teams may join the development and add their copyright.

And the '#pragma once' are replaced.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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2025-03-15 17:25:31 +03:00
amane-ame 2c16f3b7d2 Optimize cv::sepFilter.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-14 18:33:57 +08:00
Alexander Smorkalov 14396b8029 Merge pull request #27047 from vrabaud:lzw
Move the CV_Assert above the << operation to not trigger the fuzzer
2025-03-14 09:01:15 +03:00
GenshinImpactStarts 2a8d4b8e43 Merge pull request #27000 from GenshinImpactStarts:cart_to_polar
[HAL RVV] reuse atan | impl cart_to_polar | add perf test #27000

Implement through the existing `cv_hal_cartToPolar32f` and `cv_hal_cartToPolar64f` interfaces.

Add `cartToPolar` performance tests.

cv_hal_rvv::fast_atan is modified to make it more reusable because it's needed in cartToPolar.

**UPDATE**: UI enabled. Since the vec type of RVV can't be stored in struct. UI implementation of `v_atan_f32` is modified. Both `fastAtan` and `cartToPolar` are affected so the test result for `atan` is also appended. I have tested the modified UI on RVV and AVX2 and no regressions appears.

Perf test done on MUSE-PI. AVX2 test done on Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz.

```sh
$ opencv_test_core --gtest_filter="*CartToPolar*:*Core_CartPolar_reverse*:*Phase*" 
$ opencv_perf_core --gtest_filter="*CartToPolar*:*phase*" --perf_min_samples=300 --perf_force_samples=300
```

Test result between enabled UI and HAL:
```
                   Name of Test                       ui    rvv      rvv    
                                                                      vs    
                                                                      ui    
                                                                  (x-factor)
CartToPolar::CartToPolarFixture::(127x61, 32FC1)    0.106  0.059     1.80   
CartToPolar::CartToPolarFixture::(127x61, 64FC1)    0.155  0.070     2.20   
CartToPolar::CartToPolarFixture::(640x480, 32FC1)   4.188  2.317     1.81   
CartToPolar::CartToPolarFixture::(640x480, 64FC1)   6.593  2.889     2.28   
CartToPolar::CartToPolarFixture::(1280x720, 32FC1)  12.600 7.057     1.79   
CartToPolar::CartToPolarFixture::(1280x720, 64FC1)  19.860 8.797     2.26   
CartToPolar::CartToPolarFixture::(1920x1080, 32FC1) 28.295 15.809    1.79   
CartToPolar::CartToPolarFixture::(1920x1080, 64FC1) 44.573 19.398    2.30   
phase32f::VectorLength::128                         0.002  0.002     1.20   
phase32f::VectorLength::1000                        0.008  0.006     1.32   
phase32f::VectorLength::131072                      1.061  0.731     1.45   
phase32f::VectorLength::524288                      3.997  2.976     1.34   
phase32f::VectorLength::1048576                     8.001  5.959     1.34   
phase64f::VectorLength::128                         0.002  0.002     1.33   
phase64f::VectorLength::1000                        0.012  0.008     1.58   
phase64f::VectorLength::131072                      1.648  0.931     1.77   
phase64f::VectorLength::524288                      6.836  3.837     1.78   
phase64f::VectorLength::1048576                     14.060 7.540     1.86   
```

Test result before and after enabling UI on RVV:
```
                   Name of Test                      perf   perf     perf   
                                                      ui     ui       ui    
                                                     orig    pr       pr    
                                                                      vs    
                                                                     perf   
                                                                      ui    
                                                                     orig   
                                                                  (x-factor)
CartToPolar::CartToPolarFixture::(127x61, 32FC1)    0.141  0.106     1.33   
CartToPolar::CartToPolarFixture::(127x61, 64FC1)    0.187  0.155     1.20   
CartToPolar::CartToPolarFixture::(640x480, 32FC1)   5.990  4.188     1.43   
CartToPolar::CartToPolarFixture::(640x480, 64FC1)   8.370  6.593     1.27   
CartToPolar::CartToPolarFixture::(1280x720, 32FC1)  18.214 12.600    1.45   
CartToPolar::CartToPolarFixture::(1280x720, 64FC1)  25.365 19.860    1.28   
CartToPolar::CartToPolarFixture::(1920x1080, 32FC1) 40.437 28.295    1.43   
CartToPolar::CartToPolarFixture::(1920x1080, 64FC1) 56.699 44.573    1.27   
phase32f::VectorLength::128                         0.003  0.002     1.54   
phase32f::VectorLength::1000                        0.016  0.008     1.90   
phase32f::VectorLength::131072                      2.048  1.061     1.93   
phase32f::VectorLength::524288                      8.219  3.997     2.06   
phase32f::VectorLength::1048576                     16.426 8.001     2.05   
phase64f::VectorLength::128                         0.003  0.002     1.44   
phase64f::VectorLength::1000                        0.020  0.012     1.60   
phase64f::VectorLength::131072                      2.621  1.648     1.59   
phase64f::VectorLength::524288                      10.780 6.836     1.58   
phase64f::VectorLength::1048576                     22.723 14.060    1.62   
```

Test result before and after modifying UI on AVX2:
```
                   Name of Test                     perf  perf     perf   
                                                    avx2  avx2     avx2   
                                                    orig   pr       pr    
                                                                    vs    
                                                                   perf   
                                                                   avx2   
                                                                   orig   
                                                                (x-factor)
CartToPolar::CartToPolarFixture::(127x61, 32FC1)    0.006 0.005    1.14   
CartToPolar::CartToPolarFixture::(127x61, 64FC1)    0.010 0.009    1.08   
CartToPolar::CartToPolarFixture::(640x480, 32FC1)   0.273 0.264    1.03   
CartToPolar::CartToPolarFixture::(640x480, 64FC1)   0.511 0.487    1.05   
CartToPolar::CartToPolarFixture::(1280x720, 32FC1)  0.760 0.723    1.05   
CartToPolar::CartToPolarFixture::(1280x720, 64FC1)  2.009 1.937    1.04   
CartToPolar::CartToPolarFixture::(1920x1080, 32FC1) 1.996 1.923    1.04   
CartToPolar::CartToPolarFixture::(1920x1080, 64FC1) 5.721 5.509    1.04   
phase32f::VectorLength::128                         0.000 0.000    0.98   
phase32f::VectorLength::1000                        0.001 0.001    0.97   
phase32f::VectorLength::131072                      0.105 0.111    0.95   
phase32f::VectorLength::524288                      0.402 0.402    1.00   
phase32f::VectorLength::1048576                     0.775 0.767    1.01   
phase64f::VectorLength::128                         0.000 0.000    1.00   
phase64f::VectorLength::1000                        0.001 0.001    1.01   
phase64f::VectorLength::131072                      0.163 0.162    1.01   
phase64f::VectorLength::524288                      0.669 0.653    1.02   
phase64f::VectorLength::1048576                     1.660 1.634    1.02   
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-13 15:56:56 +03:00
Alexander Smorkalov b129abfdaa Merge pull request #27055 from hanliutong:UI-loop-condition
Fix some vectorized loop conditions.
2025-03-13 14:12:30 +03:00
Vincent Rabaud 186537a315 Move the CV_Assert above the << operation to not trigger the fuzzer 2025-03-13 10:00:49 +01:00
Liutong HAN fd62bd0991 Relax the loop condition to process the final batch. 2025-03-13 07:54:41 +00:00
GenshinImpactStarts e30697fd42 Merge pull request #27002 from GenshinImpactStarts:magnitude
[HAL RVV] impl magnitude | add perf test #27002

Implement through the existing `cv_hal_magnitude32f` and `cv_hal_magnitude64f` interfaces.

**UPDATE**: UI is enabled. The only difference between UI and HAL now is HAL use a approximate `sqrt`.

Perf test done on MUSE-PI.

```sh
$ opencv_test_core --gtest_filter="*Magnitude*"
$ opencv_perf_core --gtest_filter="*Magnitude*" --perf_min_samples=300 --perf_force_samples=300
```

Test result between enabled UI and HAL:
```
                 Name of Test                     ui    rvv      rvv    
                                                                  vs    
                                                                  ui    
                                                              (x-factor)
Magnitude::MagnitudeFixture::(127x61, 32FC1)    0.029  0.016     1.75   
Magnitude::MagnitudeFixture::(127x61, 64FC1)    0.057  0.036     1.57   
Magnitude::MagnitudeFixture::(640x480, 32FC1)   1.063  0.648     1.64   
Magnitude::MagnitudeFixture::(640x480, 64FC1)   2.261  1.530     1.48   
Magnitude::MagnitudeFixture::(1280x720, 32FC1)  3.261  2.118     1.54   
Magnitude::MagnitudeFixture::(1280x720, 64FC1)  6.802  4.682     1.45   
Magnitude::MagnitudeFixture::(1920x1080, 32FC1) 7.287  4.738     1.54   
Magnitude::MagnitudeFixture::(1920x1080, 64FC1) 15.226 10.334    1.47   
```

Test result before and after enabling UI:
```
                 Name of Test                    orig    pr       pr    
                                                                  vs    
                                                                 orig   
                                                              (x-factor)
Magnitude::MagnitudeFixture::(127x61, 32FC1)    0.032  0.029     1.11   
Magnitude::MagnitudeFixture::(127x61, 64FC1)    0.067  0.057     1.17   
Magnitude::MagnitudeFixture::(640x480, 32FC1)   1.228  1.063     1.16   
Magnitude::MagnitudeFixture::(640x480, 64FC1)   2.786  2.261     1.23   
Magnitude::MagnitudeFixture::(1280x720, 32FC1)  3.762  3.261     1.15   
Magnitude::MagnitudeFixture::(1280x720, 64FC1)  8.549  6.802     1.26   
Magnitude::MagnitudeFixture::(1920x1080, 32FC1) 8.408  7.287     1.15   
Magnitude::MagnitudeFixture::(1920x1080, 64FC1) 18.884 15.226    1.24   
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-13 08:34:11 +03:00
Vincent Rabaud 71fe903121 Merge pull request #27040 from vrabaud:png_leak
Make sure there are enough channels to check for opacity #27040

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-12 21:06:01 +03:00
Alexander Smorkalov 7481cb50b5 Merge pull request #27013 from asmorkalov:as/imencode_animation
Test for in-memory animation encoding and decoding #27013
 
Tests for https://github.com/opencv/opencv/pull/26964

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-12 18:10:06 +03:00
Alexander Smorkalov bbcdbca872 Merge pull request #27041 from asmorkalov:as/decolor_opt
Local decolor pipeline optimization
2025-03-12 18:03:13 +03:00
Pierre Chatelier d83df66ff0 Merge pull request #26834 from chacha21:findContours_speedup
Find contours speedup #26834

It is an attempt, as suggested by #26775, to restore lost speed when migrating `findContours()` implementation from C to C++

The patch adds an "Arena" (a pool) of pre-allocated memory so that contours points (and TreeNodes) can be picked from the Arena.
The code of `findContours()` is mostly unchanged, the arena usage being implicit through a utility class Arena::Item that provides C++ overloaded operators and construct/destruct logic.

As mentioned in #26775, the contour points are allocated and released in order, and can be represented by ranges of indices in their arena. No range subset will be released and drill a hole, that's why the internal representation as a range of indices makes sense.

The TreeNodes use another Arena class that does not comply to that range logic.

Currently, there is a significant improvement of the run-time on the test mentioned in #26775, but it is still far from the `findContours_legacy()` performance.


- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-12 18:00:01 +03:00
Pierre Chatelier 0db6a496ba Merge pull request #26842 from chacha21:threshold_with_mask
Added optional mask to cv::threshold #26842
 
Proposal for #26777

To avoid code duplication, and keep performance when no mask is used, inner implementation always propagate the const cv::Mat& mask, but they use a template<bool useMask> parameter that let the compiler optimize out unnecessary tests when the mask is not to be used.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-12 17:55:07 +03:00
Alexander Smorkalov 49ab8121b7 Merge pull request #27050 from hanliutong:rvv-fix-27003
RISC-V: Fix #27003.
2025-03-12 17:32:19 +03:00
Yuantao Feng eefa327f30 Merge pull request #27042 from fengyuentau:4x/core/normDiff_simd
core: vectorize normDiff with universal intrinsics #27042

Merge with https://github.com/opencv/opencv_extra/pull/1242.

Performance results on Desktop Intel i7-12700K, Apple M2, Jetson Orin and SpaceMIT K1:

[perf-normDiff.zip](https://github.com/user-attachments/files/19178689/perf-normDiff.zip)


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-12 16:43:10 +03:00
Liutong HAN 2969b67bd7 Fix 27003. 2025-03-12 12:15:05 +00:00
Maxim Smolskiy 46dbc57a86 Merge pull request #26968 from MaximSmolskiy:fix-Aruco-marker-incorrect-detection-near-image-edge
Fix Aruco marker incorrect detection near image edge #26968

### Pull Request Readiness Checklist

Fix #26922 

As I understood the algorithm, at the first stage we search for the contours of the marker several times (adaptive threshold with different windows sizes). Therefore, for the same marker, we get several contours (inner and outer with different sizes due to the different windows sizes). In the second stage, we group the contours for the same marker into one group, from which we take the largest contour as the best candidate (which should best match the border of the marker).

The problem is that using the `minDistanceToBorder` parameter, we discard contours at the first stage. Thus, we discard the best candidates most appropriate to the marker border, and inner contours may remain, representing a significantly smaller marker border (which we observe in the issue).

But if we use the `minDistanceToBorder` parameter to discard the best candidate of the group at the second stage, then there will be no such problems and we will completely discard markers located too close to the border of the image.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-03-12 09:47:49 +03:00
GenshinImpactStarts 60de3ff24f Merge pull request #27015 from GenshinImpactStarts:sqrt
[HAL RVV] impl sqrt and invSqrt #27015

Implement through the existing interfaces `cv_hal_sqrt32f`, `cv_hal_sqrt64f`, `cv_hal_invSqrt32f`, `cv_hal_invSqrt64f`.

Perf test done on MUSE-PI and CanMV K230. Because the performance of scalar is much worse than universal intrinsic, only ui and hal rvv is compared.

In RVV's UI, `invSqrt` is computed using `1 / sqrt()`. This patch first uses `frsqrt` and then applies the Newton-Raphson method to achieve higher precision. For the initial value, I tried using the famous [fast inverse square root algorithm](https://en.wikipedia.org/wiki/Fast_inverse_square_root), which involves one bit shift and one subtraction. However, on both MUSE-PI and CanMV K230, the performance was slightly lower (about 3%), so I chose to use `frsqrt` for the initial value instead. 

BTW, I think this patch can directly replace RVV's UI.

**UPDATE**: Due to strange vector registers allocation strategy in clang, for `invSqrt`, clang use LMUL m4 while gcc use LMUL m8, which leads to some performance loss in clang. So the test for clang is appended.

```sh
$ opencv_test_core --gtest_filter="Core_HAL/mathfuncs.*"
$ opencv_perf_core --gtest_filter="SqrtFixture.*" --perf_min_samples=300 --perf_force_samples=300
```

CanMV K230:
```
              Name of Test                 ui    rvv      rvv    
                                                           vs    
                                                           ui    
                                                       (x-factor)
Sqrt::SqrtFixture::(127x61, 5, false)    0.052  0.027     1.96   
Sqrt::SqrtFixture::(127x61, 5, true)     0.101  0.026     3.80   
Sqrt::SqrtFixture::(127x61, 6, false)    0.106  0.059     1.79   
Sqrt::SqrtFixture::(127x61, 6, true)     0.207  0.058     3.55   
Sqrt::SqrtFixture::(640x480, 5, false)   1.988  0.956     2.08   
Sqrt::SqrtFixture::(640x480, 5, true)    3.920  0.948     4.13   
Sqrt::SqrtFixture::(640x480, 6, false)   4.179  2.342     1.78   
Sqrt::SqrtFixture::(640x480, 6, true)    8.220  2.290     3.59   
Sqrt::SqrtFixture::(1280x720, 5, false)  5.969  2.881     2.07   
Sqrt::SqrtFixture::(1280x720, 5, true)   11.731 2.857     4.11   
Sqrt::SqrtFixture::(1280x720, 6, false)  12.533 7.031     1.78   
Sqrt::SqrtFixture::(1280x720, 6, true)   24.643 6.917     3.56   
Sqrt::SqrtFixture::(1920x1080, 5, false) 13.423 6.483     2.07   
Sqrt::SqrtFixture::(1920x1080, 5, true)  26.379 6.436     4.10   
Sqrt::SqrtFixture::(1920x1080, 6, false) 28.200 15.833    1.78   
Sqrt::SqrtFixture::(1920x1080, 6, true)  55.434 15.565    3.56   
```

MUSE-PI:
```
                                                 GCC              |        clang            
              Name of Test                 ui    rvv      rvv     |   ui    rvv      rvv    
                                                           vs     |                   vs    
                                                           ui     |                   ui    
                                                       (x-factor) |               (x-factor)
Sqrt::SqrtFixture::(127x61, 5, false)    0.027  0.018     1.46    | 0.027  0.016     1.65   
Sqrt::SqrtFixture::(127x61, 5, true)     0.050  0.017     2.98    | 0.050  0.017     2.99   
Sqrt::SqrtFixture::(127x61, 6, false)    0.053  0.031     1.72    | 0.052  0.032     1.64   
Sqrt::SqrtFixture::(127x61, 6, true)     0.100  0.030     3.31    | 0.101  0.035     2.86   
Sqrt::SqrtFixture::(640x480, 5, false)   0.955  0.483     1.98    | 0.959  0.499     1.92   
Sqrt::SqrtFixture::(640x480, 5, true)    1.873  0.489     3.83    | 1.873  0.520     3.60   
Sqrt::SqrtFixture::(640x480, 6, false)   2.027  1.163     1.74    | 2.037  1.218     1.67   
Sqrt::SqrtFixture::(640x480, 6, true)    3.961  1.153     3.44    | 3.961  1.341     2.95   
Sqrt::SqrtFixture::(1280x720, 5, false)  2.916  1.538     1.90    | 2.912  1.598     1.82   
Sqrt::SqrtFixture::(1280x720, 5, true)   5.735  1.534     3.74    | 5.726  1.661     3.45   
Sqrt::SqrtFixture::(1280x720, 6, false)  6.121  3.585     1.71    | 6.109  3.725     1.64   
Sqrt::SqrtFixture::(1280x720, 6, true)   12.059 3.501     3.44    | 12.053 4.080     2.95   
Sqrt::SqrtFixture::(1920x1080, 5, false) 6.540  3.535     1.85    | 6.540  3.643     1.80   
Sqrt::SqrtFixture::(1920x1080, 5, true)  12.943 3.445     3.76    | 12.908 3.706     3.48   
Sqrt::SqrtFixture::(1920x1080, 6, false) 13.714 8.062     1.70    | 13.711 8.376     1.64   
Sqrt::SqrtFixture::(1920x1080, 6, true)  27.011 7.989     3.38    | 27.115 9.245     2.93   
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-12 08:34:27 +03:00
Suleyman TURKMEN 656038346b Merge pull request #26441 from sturkmen72:upd_tutorials
Update tutorials #26441

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-11 16:17:21 +03:00
Alexander Smorkalov 1f63b986a1 Merge pull request #26976 from MaximSmolskiy/refactor-ArucoDetector-ArucoDetectorImpl-filterTooCloseCandidates
Refactor ArucoDetector::ArucoDetectorImpl::filterTooCloseCandidates
2025-03-11 16:10:48 +03:00
Alexander Smorkalov a48e78cdfc Merge pull request #27026 from amane-ame/filter_hal_rvv
Add RISC-V HAL implementation for cv::filter series
2025-03-11 16:09:45 +03:00
Alexander Smorkalov d9956fc24f Merge pull request #26934 from BenjaminKnecht/new_4.x
Extend ArUcoDetector to run multiple dictionaries in an efficient manner.
2025-03-11 14:37:00 +03:00
amane-ame 2dd72201af Remove CV_ASSERT.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-11 18:37:58 +08:00
Alexander Smorkalov 6fb082ae7f Merge pull request #27001 from DanBmh/opt_newoptcm
Optimize camera matrix undistortion
2025-03-11 12:47:35 +03:00
amane-ame d9ec808b15 Use the macro from interface.h.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-11 17:44:55 +08:00
Alexander Smorkalov fa092b4597 Merge pull request #27043 from asmorkalov/as/debayer_warn_fix
Warning fix on Windows.
2025-03-11 12:07:57 +03:00
Alexander Smorkalov f833519506 Warning fix on Windows. 2025-03-11 11:17:20 +03:00
Alexander Smorkalov 4be88e934f Merge pull request #27010 from GenshinImpactStarts/exp_log
[HAL RVV] impl exp and log | add log perf test
2025-03-11 10:51:03 +03:00
Alexander Smorkalov e342d2f339 Local decolor pipeline optimization. 2025-03-11 10:16:01 +03:00
Alexander Smorkalov 4bb57ceb73 Merge pull request #26868 from FantasqueX/bayer2gray-simd-2
Use universal intrinsics in bayer2gray
2025-03-11 09:55:09 +03:00
Alexander Smorkalov 2fbb310265 Merge pull request #27037 from sturkmen72/ImageCollection_animations
Add a test to ensure ImageCollection class works good with animations
2025-03-11 08:18:22 +03:00
Suleyman TURKMEN 6004badce2 ImageCollection animations 2025-03-10 21:02:43 +03:00
Pierre Chatelier e813326c17 Merge pull request #27039 from chacha21:threshold_otsu_doc_update
Threshold otsu doc update #27039 
 
PR for #27038

(I had already done that, but encounters git madness after branch renaming)

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-10 19:40:45 +03:00
Alexander Smorkalov 3236436892 Merge pull request #27036 from CodeLinaro:xuezha_3rdPost
Fix gaussianBlur5x5 performance regression
2025-03-10 18:21:20 +03:00
Xue Zhang accebdecf7 Fix gaussianBlur5x5 performance regression 2025-03-10 16:16:56 +05:30
Alexander Smorkalov 316b5d7b08 Merge pull request #27031 from sturkmen72:libjpeg-turbo_ver_3.1.0
Libjpeg-turbo update to version 3.1.0
2025-03-10 13:44:00 +03:00
Daniel f4a2c35c73 Small updates. 2025-03-10 11:22:24 +01:00
amane-ame 54da5c3e77 Add some algorithm comments.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-10 16:42:58 +08:00
GenshinImpactStarts 830d031213 Merge pull request #26977 from GenshinImpactStarts:helper_hal_rvv
[Refactor](HAL RVV): Consolidate Helpers for Code Reusability #26977

This PR introduces a new helper file with utility types and templates to standardize function interfaces. This refactor allows us to avoid duplicate code when types differ but logic remains the same.

The `flip` and `minmax` implementations have been updated to use the new generic helpers, replacing the previously defined, redundant classes.

Due to the large number of functions, not all interfaces are unified yet. Future development can extend the types as needed. While the usage of function templates is currently limited, this will ease future development.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-10 10:36:48 +03:00
amane-ame 02253dd76b Copy cv::borderInterpolate from core.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-10 15:26:41 +08:00
quic-xuezha 797068853f Merge pull request #27033 from CodeLinaro:xuezha_3rdPost
Fix assert failure in Sobel test when enable FastCV #27033

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-10 10:24:28 +03:00
Suleyman TURKMEN 6d161c25ef Update libjpeg-turbo version:3.1.0 2025-03-09 00:02:20 +03:00
GenshinImpactStarts 0fed1fa184 fix exp, log | enable ui for log | strengthen test
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-07 17:11:26 +00:00
GenshinImpactStarts 524d8ae01c impl exp and log | add log perf test
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-07 17:11:26 +00:00
amane-ame e06502a254 Add Morph for MORPH_ERODE and MORPH_DILATE.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-08 00:35:50 +08:00
Alexander Smorkalov 40843d06ab Disable CV_SIMD_SCALABLE for demosaicing as the implementation is not efficient on RISC-V RVV. 2025-03-07 16:24:20 +03:00
amane-ame a2d784b6f5 Add sepFilter.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-07 20:56:04 +08:00
Alexander Smorkalov 12d182bf9e Merge pull request #27025 from shyama7004:link
fix the not working link
2025-03-07 15:55:59 +03:00
Alexander Smorkalov 648424eaf2 Code review fixes. 2025-03-07 15:33:54 +03:00
shyama7004 a9b2467868 fix the not working link 2025-03-07 17:39:49 +05:30
Alexander Smorkalov fbffaa5276 Warning fix. 2025-03-07 11:56:26 +03:00
天音あめ e89e2fd7ea Merge pull request #27007 from amane-ame:color_hal_rvv
Add RISC-V HAL implementation for cv::cvtColor #27007

This patch implements the following functions in RVV_HAL using native intrinsics, optimizing the performance of `cv::cvtColor` for all possible data types and modes (except for `COLOR_Bayer`, `COLOR_YUV2GRAY_420` and `COLOR_mRGBA`, as these modes have no HAL interface):

```
cv_hal_cvtBGRtoBGR
cv_hal_cvtBGRtoBGR5x5
cv_hal_cvtBGR5x5toBGR
cv_hal_cvtBGRtoGray
cv_hal_cvtGraytoBGR
cv_hal_cvtBGR5x5toGray
cv_hal_cvtGraytoBGR5x5
cv_hal_cvtBGRtoYUV
cv_hal_cvtYUVtoBGR
cv_hal_cvtBGRtoXYZ
cv_hal_cvtXYZtoBGR
cv_hal_cvtBGRtoHSV
cv_hal_cvtHSVtoBGR
cv_hal_cvtBGRtoLab
cv_hal_cvtLabtoBGR
cv_hal_cvtTwoPlaneYUVtoBGR
cv_hal_cvtBGRtoTwoPlaneYUV
cv_hal_cvtThreePlaneYUVtoBGR
cv_hal_cvtBGRtoThreePlaneYUV
cv_hal_cvtOnePlaneYUVtoBGR
cv_hal_cvtOnePlaneBGRtoYUV
```

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_imgproc --gtest_filter="*Color*-*Bayer*"
$ ./opencv_perf_imgproc --gtest_filter="*Color*-*Bayer*" --gtest_also_run_disabled_tests --perf_min_samples=100 --perf_force_samples=100
```

View the full perf table here: [hal_rvv_color.pdf](https://github.com/user-attachments/files/19055417/hal_rvv_color.pdf)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
2025-03-07 11:24:48 +03:00
天音あめ 00956d5c15 Merge pull request #26892 from amane-ame:solve_hal_rvv
Add RISC-V HAL implementation for cv::solve #26892

This patch implements `cv_hal_LU/cv_hal_Cholesky/cv_hal_SVD/cv_hal_QR` function in RVV_HAL using native intrinsics, optimizing the performance for `cv::solve` with method `DECOMP_LU/DECOMP_SVD/DECOMP_CHOLESKY/DECOMP_QR` and data types `32FC1/64FC1`.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_core --gtest_filter="*Solve*:*SVD*:*Cholesky*"
$ ./opencv_perf_core --gtest_filter="*SolveTest*" --perf_min_samples=100 --perf_force_samples=100
```

The tail of the perf table is shown below since the table is too long.

View the full perf table here: [hal_rvv_solve.pdf](https://github.com/user-attachments/files/18725067/hal_rvv_solve.pdf)

<img width="1078" alt="Untitled" src="https://github.com/user-attachments/assets/c01d849c-f000-4bcc-bfe0-a302d6605d9e" />

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-07 11:14:09 +03:00
天音あめ bb525fe91d Merge pull request #26865 from amane-ame:dxt_hal_rvv
Add RISC-V HAL implementation for cv::dft and cv::dct #26865

This patch implements `static cv::DFT` function in RVV_HAL using native intrinsic, optimizing the performance for `cv::dft` and `cv::dct` with data types `32FC1/64FC1/32FC2/64FC2`.

The reason I chose to create a new `cv_hal_dftOcv` interface is that if I were to use the existing interfaces (`cv_hal_dftInit1D` and `cv_hal_dft1D`), it would require handling and parsing the dft flags within HAL, as well as performing preprocessing operations such as handling unit roots. Since these operations are not performance hotspots and do not require optimization, reusing the existing interfaces would result in copying approximately 300 lines of code from `core/src/dxt.cpp` into HAL, which I believe is unnecessary.

Moreover, if I insert the new interface into `static cv::DFT`, both `static cv::RealDFT` and `static cv::DCT` can be optimized as well. The processing performed before and after calling `static cv::DFT` in these functions is also not a performance hotspot.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ opencv_test_core --gtest_filter="*DFT*"
$ opencv_perf_core --gtest_filter="*dft*:*dct*" --perf_min_samples=30 --perf_force_samples=30
```

The head of the perf table is shown below since the table is too long.

View the full perf table here: [hal_rvv_dxt.pdf](https://github.com/user-attachments/files/18622645/hal_rvv_dxt.pdf)

<img width="1017" alt="Untitled" src="https://github.com/user-attachments/assets/609856e7-9c7d-4a95-9923-45c1b77eb3a2" />

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-07 11:08:41 +03:00
GenshinImpactStarts 57a78cb9df Merge pull request #26941 from GenshinImpactStarts:lut_hal_rvv
Impl hal_rvv LUT | Add more LUT test #26941 

Implement through the existing `cv_hal_lut` interfaces.

Add more LUT accuracy and performance tests:
- **Accuracy test**: Multi-channel table tests are added, and the boundary of `randu` used for generating test data is broadened to make the test more robust.
- **Performance test**: Multi-channel input and multi-channel table tests are added.

Perf test done on
- MUSE-PI (vlen=256)
- Compiler: gcc 14.2 (riscv-collab/riscv-gnu-toolchain Nightly: December 16, 2024)


```sh

$ opencv_test_core --gtest_filter="Core_LUT*"
$ opencv_perf_core --gtest_filter="SizePrm_LUT*" --perf_min_samples=300 --perf_force_samples=300
```
```sh
Geometric mean (ms)

         Name of Test          scalar   ui    rvv       ui        rvv    
                                                        vs         vs    
                                                      scalar     scalar  
                                                    (x-factor) (x-factor)
LUT::SizePrm::320x240          0.248  0.249  0.052     1.00       4.74   
LUT::SizePrm::640x480          0.277  0.275  0.085     1.01       3.28   
LUT::SizePrm::1920x1080        0.950  0.947  0.634     1.00       1.50   
LUT_multi2::SizePrm::320x240   2.051  2.045  2.049     1.00       1.00   
LUT_multi2::SizePrm::640x480   2.128  2.134  2.125     1.00       1.00   
LUT_multi2::SizePrm::1920x1080 7.397  7.380  7.390     1.00       1.00   
LUT_multi::SizePrm::320x240    0.715  0.747  0.154     0.96       4.64   
LUT_multi::SizePrm::640x480    0.741  0.766  0.257     0.97       2.88   
LUT_multi::SizePrm::1920x1080  2.766  2.765  1.925     1.00       1.44  
```

This optimization is achieved by loading the entire lookup table into vector registers. Due to register size limitations, the optimization is only effective under the following conditions:  
- For the U8C1 table type, the optimization works when `vlen >= 256`
- For U16C1, it works when `vlen >= 512`
- For U32C1, it works when `vlen >= 1024`

Since I don’t have real hardware with `vlen > 256`, the corresponding accuracy tests were conducted on QEMU built from the `riscv-collab/riscv-gnu-toolchain`.

This patch does not implement optimizations for multi-channel tables.

Previous attempts:
1. For the U8C1 table type, when `vlen = 128`, it is possible to use four `u8m4` vectors to load the entire table, perform gathering, and merge the results. However, the performance is almost the same as the scalar version.
2. Loading part of the table and repeatedly loading the source data is faster for small sizes. But as the table size grows, the performance quickly degrades compared to the scalar version.
3. Using `vluxei8` as a general solution does not show any performance improvement.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-06 11:17:00 +03:00
amane-ame 83104bed32 Add Filter2D.
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-03-06 14:10:06 +08:00
Suleyman TURKMEN dbd4e4549d Merge pull request #26849 from sturkmen72:apng-writeanimation
APNG encoding optimization #26849

related #26840

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-05 10:42:43 +03:00
Benjamin Knecht d80fd565b4 Attempt to fix Windows int type warning 2025-03-04 16:24:50 +01:00
Benjamin Knecht 1aa658fa75 Address more comments
Use map to manage unique marker size candidate trees.
Avoid code duplication.
Add a test to show double detection with overlapping dictionaries.
Generalize to marker sizes of not only predefined dictionaries.
2025-03-04 15:24:03 +01:00
Liutong HAN 97abffbdac Merge pull request #27006 from hanliutong:rvv-fix-ui-1024
Fix issues in RISC-V Vector (RVV) Universal Intrinsic #27006

This PR aims to make `opencv_test_core` pass on RVV, via following two parts:

1. Fix bug in Universal Intrinsic when VLEN >= 512:
- `max_nlanes` should be multiplied by 2, because we use LMUL=2 in RVV Universal Intrinsic since #26318.
- Related tests are also expanded to match longer registers
- Relax the precision threshold of `v_erf` to make the tests pass

2. Temporary fix  #26936
- Disable 3 Universal Intrinsic code blocks on GCC
- This is just a temporary fix until we figure out if it's our issue or GCC/something else's

This patch is tested under the following conditions:
- Compier: GCC 14.2, Clang 19.1.7
- Device: Muse-Pi (VLEN=256), QEMU (VLEN=512, 1024)


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-04 16:49:59 +03:00
天音あめ cbcfd772ce Merge pull request #26958 from amane-ame:pyramids_hal_rvv
Add RISC-V HAL implementation for cv::pyrDown and cv::pyrUp #26958

This patch implements `cv_hal_pyrdown/cv_hal_pyrup` function in RVV_HAL using native intrinsics, optimizing the performance for `cv::pyrDown`, `cv::pyrUp` and `cv::buildPyramids` with data types `{8U,16S,32F} x {C1,C2,C3,C4,Cn}`.

Tested on MUSE-PI (Spacemit X60) for both gcc 14.2 and clang 20.0.

```
$ ./opencv_test_imgproc --gtest_filter="*pyr*:*Pyr*"
$ ./opencv_perf_imgproc --gtest_filter="*pyr*:*Pyr*" --perf_min_samples=300 --perf_force_samples=300
```

<img width="1112" alt="Untitled" src="https://github.com/user-attachments/assets/235a9fba-0d29-434e-8a10-498212bac657" />


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-04 15:41:15 +03:00
Alexander Smorkalov 5c6c6af4ec Merge pull request #27004 from asmorkalov:as/minMax_backport
Backported some CALL_HAL improvements from 5.x #26946
2025-03-04 08:07:30 +03:00
Daniel Bermuth 8a24d41b54 Merge pull request #26988 from DanBmh:opt_undistort
Optimize undistort points #26988

Skips unnecessary rotation with identity matrix if no R or P mats are given.

---------

Co-authored-by: Daniel <daniel@mail.de>
2025-03-03 17:16:09 +03:00
Alexander Smorkalov 1aa69292b0 Backported some CALL_HAL improvements from 5.x #26946 2025-03-03 16:22:48 +03:00
sssanjee-quic a62b78d6e3 Merge pull request #26910 from CodeLinaro:FastcvHAL_Documentation
Documentation to enable FastCV based OpenCV HAL and Extensions #26910

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-03 15:14:08 +03:00
Skreg 3f1e7fcb8f Merge pull request #26996 from shyama7004:outofBound
Fix Logical defect in FilterSpecklesImpl #26996

Fixes : #24963

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-03-03 15:12:18 +03:00
Daniel e39eb949ea Use only image contour for camera matrix undistortion. 2025-03-03 11:35:05 +01:00
Maxim Smolskiy dbd3ef9a6f Merge pull request #26926 from MaximSmolskiy:fix-getPerspectiveTransform-for-singular-case
Fix getPerspectiveTransform for singular case #26926

### Pull Request Readiness Checklist

Fix #26916 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-03-02 12:44:39 +03:00
Anshuprem 87cc1643f4 Merge pull request #26992 from Anshuprem:4.x
Some minor fixes #26992

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-03-01 14:54:26 +03:00
Alexander Smorkalov b65fd3b51c Merge pull request #26985 from xi-guo-0:fix-qnx7.0-build
fix: qnx7.0 build
2025-02-28 15:08:07 +03:00
Benjamin Knecht 3084f950cf Fix dictionary comparison in test 2025-02-27 10:52:27 +01:00
xi-guo 0b8cab368b fix: qnx7.0 build 2025-02-27 14:24:18 +08:00
Alexander Smorkalov 3db1247745 Merge pull request #26918 from GenshinImpactStarts:norm_hamming
Impl RISC-V HAL for norm_hamming
2025-02-26 21:23:04 +03:00
Alexander Smorkalov 4d6d6fb18f Merge pull request #26983 from AsyaPronina:wa_for_ort_env
G-API/ORT: Workaround exception during OV EP append
2025-02-26 21:19:33 +03:00
Alexander Smorkalov 4f6996b5dd Merge pull request #26982 from asmorkalov:as/backport_c_api
Backported some C API cleanup from 5.x to 4.x to reduce conflicts in 4.x->5.x merge
2025-02-26 20:30:47 +03:00
Anastasiya Pronina 76d3bf0a3b Workaround for successfull append of OpenVINO Execution Provider: Moved creation of 'Ort::Env' before it 2025-02-26 16:55:48 +00:00
Kumataro a63ede6b1d Merge pull request #26930 from Kumataro:fix26924
Imgcodecs: gif: support Disposal Method #26930

Close https://github.com/opencv/opencv/issues/26924

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-02-26 17:15:41 +03:00
Alexander Smorkalov d3792dad86 Backported some C API cleanup from 5.x to 4.x to reduce conflicts in 4.x->5.x merge. 2025-02-26 17:11:31 +03:00
Maksim Shabunin 43551b72d7 Merge pull request #26948 from mshabunin:fix-videoio-test-params
videoio: print test params instead of indexes #26948
_videoio_ test names changed - use string instead of index.
E.g. `videoio_read.threads/0` is now `videoio_read.threads/h264_0_RAW`.
It allows to filter tests independently of the platform.

**Notes:**
- not all tests has been updated - only simpler ones and those which have varying parameters depending on platform
2025-02-26 14:04:37 +03:00
Suleyman TURKMEN 39bc5df72a Merge pull request #26973 from sturkmen72:png_test
Add a test related IMWRITE_PNG_COMPRESSION parameter #26973

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-25 15:24:25 +03:00
Benjamin Knecht d869b12e89 Fixing warnings in tests 2025-02-25 11:50:13 +01:00
GenshinImpactStarts 33d632f85e impl hal_rvv norm_hamming
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
2025-02-25 02:31:02 +00:00
Benjamin Knecht 314f99f7a0 Remove add/removeDictionary and retain ABI of set/getDictionary
functions
2025-02-24 18:01:10 +01:00
Benjamin Knecht 6c3b195a57 Make sure serialization with single dict preserves old behavior 2025-02-24 17:33:09 +01:00
MaximSmolskiy 63ad15c243 Refactor ArucoDetector::ArucoDetectorImpl::filterTooCloseCandidates 2025-02-24 19:26:48 +03:00
Benjamin Knecht 3c88a001a2 Add docs to Dictionary get/set/add/remove functions 2025-02-24 14:30:48 +01:00
GenshinImpactStarts 6a6a5a765d Merge pull request #26943 from GenshinImpactStarts:flip_hal_rvv
Impl RISC-V HAL for cv::flip | Add perf test for flip #26943 

Implement through the existing `cv_hal_flip` interfaces.

Add perf test for `cv::flip`.

The reason why select these args for testing:
- **size**: copied from perf_lut
- **type**:
    - U8C1: basic situation
    - U8C3: unaligned element size
    - U8C4: large element size

Tested on
- MUSE-PI (vlen=256)
- Compiler: gcc 14.2 (riscv-collab/riscv-gnu-toolchain Nightly: December 16, 2024)

```sh
$ opencv_test_core --gtest_filter="Core_Flip/ElemWiseTest.*"
$ opencv_perf_core --gtest_filter="Size_MatType_FlipCode*" --perf_min_samples=300 --perf_force_samples=300
```

```
Geometric mean (ms)

                     Name of Test                       scalar   ui    rvv       ui        rvv    
                                                                                 vs         vs    
                                                                               scalar     scalar  
                                                                             (x-factor) (x-factor)
flip::Size_MatType_FlipCode::(320x240, 8UC1, FLIP_X)    0.026  0.033  0.031     0.81       0.84   
flip::Size_MatType_FlipCode::(320x240, 8UC1, FLIP_XY)   0.206  0.212  0.091     0.97       2.26   
flip::Size_MatType_FlipCode::(320x240, 8UC1, FLIP_Y)    0.185  0.189  0.082     0.98       2.25   
flip::Size_MatType_FlipCode::(320x240, 8UC3, FLIP_X)    0.070  0.084  0.084     0.83       0.83   
flip::Size_MatType_FlipCode::(320x240, 8UC3, FLIP_XY)   0.616  0.612  0.235     1.01       2.62   
flip::Size_MatType_FlipCode::(320x240, 8UC3, FLIP_Y)    0.587  0.603  0.204     0.97       2.88   
flip::Size_MatType_FlipCode::(320x240, 8UC4, FLIP_X)    0.263  0.110  0.109     2.40       2.41   
flip::Size_MatType_FlipCode::(320x240, 8UC4, FLIP_XY)   0.930  0.831  0.316     1.12       2.95   
flip::Size_MatType_FlipCode::(320x240, 8UC4, FLIP_Y)    1.175  1.129  0.313     1.04       3.75   
flip::Size_MatType_FlipCode::(640x480, 8UC1, FLIP_X)    0.303  0.118  0.111     2.57       2.73   
flip::Size_MatType_FlipCode::(640x480, 8UC1, FLIP_XY)   0.949  0.836  0.405     1.14       2.34   
flip::Size_MatType_FlipCode::(640x480, 8UC1, FLIP_Y)    0.784  0.783  0.409     1.00       1.92   
flip::Size_MatType_FlipCode::(640x480, 8UC3, FLIP_X)    1.084  0.360  0.355     3.01       3.06   
flip::Size_MatType_FlipCode::(640x480, 8UC3, FLIP_XY)   3.768  3.348  1.364     1.13       2.76   
flip::Size_MatType_FlipCode::(640x480, 8UC3, FLIP_Y)    4.361  4.473  1.296     0.97       3.37   
flip::Size_MatType_FlipCode::(640x480, 8UC4, FLIP_X)    1.252  0.469  0.451     2.67       2.78   
flip::Size_MatType_FlipCode::(640x480, 8UC4, FLIP_XY)   5.732  5.220  1.303     1.10       4.40   
flip::Size_MatType_FlipCode::(640x480, 8UC4, FLIP_Y)    5.041  5.105  1.203     0.99       4.19   
flip::Size_MatType_FlipCode::(1920x1080, 8UC1, FLIP_X)  2.382  0.903  0.903     2.64       2.64   
flip::Size_MatType_FlipCode::(1920x1080, 8UC1, FLIP_XY) 8.606  7.508  2.581     1.15       3.33   
flip::Size_MatType_FlipCode::(1920x1080, 8UC1, FLIP_Y)  8.421  8.535  2.219     0.99       3.80   
flip::Size_MatType_FlipCode::(1920x1080, 8UC3, FLIP_X)  6.312  2.416  2.429     2.61       2.60   
flip::Size_MatType_FlipCode::(1920x1080, 8UC3, FLIP_XY) 29.174 26.055 12.761    1.12       2.29   
flip::Size_MatType_FlipCode::(1920x1080, 8UC3, FLIP_Y)  25.373 25.500 13.382    1.00       1.90   
flip::Size_MatType_FlipCode::(1920x1080, 8UC4, FLIP_X)  7.620  3.204  3.115     2.38       2.45   
flip::Size_MatType_FlipCode::(1920x1080, 8UC4, FLIP_XY) 32.876 29.310 12.976    1.12       2.53   
flip::Size_MatType_FlipCode::(1920x1080, 8UC4, FLIP_Y)  28.831 29.094 14.919    0.99       1.93   
```

The optimization for vlen <= 256 and > 256 are different, but I have no real hardware with vlen > 256. So accuracy tests for that like 512 and 1024 are conducted on QEMU built from the `riscv-collab/riscv-gnu-toolchain`.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-24 08:56:23 +03:00
Daniil Anufriev b5f5540e8a Merge pull request #26886 from sk1er52:feature/exp64f
Enable SIMD_SCALABLE for exp and sqrt #26886

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
```
CPU - Banana Pi k1, compiler - clang 18.1.4
```
```
Geometric mean (ms)

              Name of Test               baseline  hal     ui      hal         ui    
                                                                    vs         vs
                                                                 baseline   baseline
                                                                (x-factor) (x-factor)
Exp::ExpFixture::(127x61, 32FC1)          0.358     --   0.033      --       10.70   
Exp::ExpFixture::(640x480, 32FC1)         14.304    --   1.167      --       12.26   
Exp::ExpFixture::(1280x720, 32FC1)        42.785    --   3.538      --       12.09
Exp::ExpFixture::(1920x1080, 32FC1)       96.206    --   7.927      --       12.14   
Exp::ExpFixture::(127x61, 64FC1)          0.433   0.050  0.098     8.59       4.40   
Exp::ExpFixture::(640x480, 64FC1)         17.315  1.935  3.813     8.95       4.54   
Exp::ExpFixture::(1280x720, 64FC1)        52.181  5.877  11.519    8.88       4.53   
Exp::ExpFixture::(1920x1080, 64FC1)      117.082  13.157 25.854    8.90       4.53
```
Additionally, this PR brings Sqrt optimization with UI:
```
Geometric mean (ms)

              Name of Test                     baseline    ui       ui    
                                                                    vs
                                                                 baseline
                                                                (x-factor)
Sqrt::SqrtFixture::(127x61, 5, false)            0.111   0.027     4.11   
Sqrt::SqrtFixture::(127x61, 6, false)            0.149   0.053     2.82   
Sqrt::SqrtFixture::(640x480, 5, false)           4.374   0.967     4.52   
Sqrt::SqrtFixture::(640x480, 6, false)           5.885   2.046     2.88   
Sqrt::SqrtFixture::(1280x720, 5, false)          12.960  2.915     4.45   
Sqrt::SqrtFixture::(1280x720, 6, false)          17.648  6.107     2.89   
Sqrt::SqrtFixture::(1920x1080, 5, false)         29.178  6.524     4.47   
Sqrt::SqrtFixture::(1920x1080, 6, false)         39.709  13.670    2.90   
```

Reference
Muller, J.-M. Elementary Functions: Algorithms and Implementation. 2nd ed. Boston: Birkhäuser, 2006.
https://www.springer.com/gp/book/9780817643720
2025-02-21 17:36:54 +03:00
Alexander Smorkalov a256886838 Merge pull request #26949 from shyama7004:Fix
replace deprecated np.fromstring() by np.frombuffer()
2025-02-21 13:55:23 +03:00
Yuantao Feng e2803bee5c Merge pull request #26885 from fengyuentau:4x/core/normalize_simd
core: vectorize cv::normalize / cv::norm #26885

Checklist:
|      | normInf | normL1 | normL2 |
| ---- | ------- | ------ | ------ |
| bool |    -    |   -    |   -    |
| 8u   |    √    |   √    |   √    |
| 8s   |    √    |   √    |   √    |
| 16u  |    √    |   √    |   √    |
| 16s  |    √    |   √    |   √    |
| 16f  |    -    |   -    |   -    |
| 16bf |    -    |   -    |   -    |
| 32u  |    -    |   -    |   -    |
| 32s  |    √    |   √    |   √    |
| 32f  |    √    |   √    |   √    |
| 64u  |    -    |   -    |   -    |
| 64s  |    -    |   -    |   -    |
| 64f  |    √    |   √    |   √    |

*: Vectorization of data type bool, 16f, 16bf, 32u, 64u and 64s needs to be done on 5.x.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-21 13:49:11 +03:00
shyama7004 a47f0f00cb replace deprecated np.fromstring() by np.frombuffer() 2025-02-21 10:37:11 +05:30
Benjamin Knecht 364eedb87e Undo multi dict functionality of refineDetectedMarkers method 2025-02-20 15:37:44 +01:00
Dmitry Kurtaev 7a2b048c92 Merge pull request #26923 from dkurt:merge_rvv_opt
Further optimization of cv::merge RVV HAL for 8U and 16S #26923

### Pull Request Readiness Checklist


* Banana Pi BF3 (SpacemiT K1) RISC-V
* Compiler: Syntacore Clang 18.1.4 (build 2024.12)

```
Geometric mean (ms)

                     Name of Test                       baseline   pr       pr
                                                         merge              vs    
                                                                         baseline
                                                                          merge
                                                                        (x-factor)
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 2)      0.013   0.003     3.76   
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 3)      0.020   0.006     3.46   
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 4)      0.026   0.010     2.61   
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 5)      0.043   0.028     1.56   
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 6)      0.054   0.035     1.53   
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 7)      0.065   0.050     1.30   
merge::Size_SrcDepth_DstChannels::(127x61, 8UC1, 8)      0.070   0.036     1.95   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 2)     0.015   0.008     1.82   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 3)     0.022   0.015     1.48   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 4)     0.029   0.018     1.63   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 5)     0.067   0.044     1.54   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 6)     0.088   0.056     1.58   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 7)     0.104   0.076     1.38   
merge::Size_SrcDepth_DstChannels::(127x61, 16SC1, 8)     0.116   0.065     1.79   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 2)     0.421   0.176     2.39   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 3)     0.792   0.284     2.79   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 4)     1.090   0.370     2.95   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 5)     1.835   1.399     1.31   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 6)     2.389   1.776     1.35   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 7)     3.000   2.471     1.21   
merge::Size_SrcDepth_DstChannels::(640x480, 8UC1, 8)     3.178   2.104     1.51   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 2)    0.490   0.377     1.30   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 3)    1.348   0.602     2.24   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 4)    1.827   0.813     2.25   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 5)    3.283   2.692     1.22   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 6)    4.922   3.334     1.48   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 7)    5.725   4.399     1.30   
merge::Size_SrcDepth_DstChannels::(640x480, 16SC1, 8)    6.278   4.748     1.32   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 2)    1.267   0.603     2.10   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 3)    2.394   0.934     2.56   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 4)    3.236   1.434     2.26   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 5)    5.398   4.345     1.24   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 6)    7.127   5.459     1.31   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 7)    8.590   7.298     1.18   
merge::Size_SrcDepth_DstChannels::(1280x720, 8UC1, 8)    9.360   6.152     1.52   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 2)   1.482   1.242     1.19   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 3)   4.008   1.817     2.21   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 4)   6.079   2.468     2.46   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 5)   11.300  8.644     1.31   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 6)   15.125  12.126    1.25   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 7)   17.555  14.804    1.19   
merge::Size_SrcDepth_DstChannels::(1280x720, 16SC1, 8)   18.890  14.163    1.33   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 2)   2.910   1.326     2.19   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 3)   5.351   1.997     2.68   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 4)   7.290   2.629     2.77   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 5)   12.426  9.611     1.29   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 6)   16.453  12.162    1.35   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 7)   19.420  16.190    1.20   
merge::Size_SrcDepth_DstChannels::(1920x1080, 8UC1, 8)   20.588  13.699    1.50   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 2)  3.400   2.640     1.29   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 3)  8.986   3.952     2.27   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 4)  11.972  5.273     2.27   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 5)  20.544  17.996    1.14   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 6)  28.677  22.086    1.30   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 7)  32.958  27.713    1.19   
merge::Size_SrcDepth_DstChannels::(1920x1080, 16SC1, 8)  36.499  27.439    1.33
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-02-20 17:28:28 +03:00
Benjamin Knecht 1f9d6aa6cf Fixed warning on Windows, clarified refineDetectedMarkers method 2025-02-20 15:12:56 +01:00
Alexander Smorkalov 58b14294b5 Merge pull request #26942 from vrabaud:png_leak
Bump openjp2 to v2.5.3
2025-02-20 12:56:54 +03:00
Vincent Rabaud a6bfd87943 Bump openjp2 to v2.5.3
This should quiet some fuzzer bugs
2025-02-20 10:46:33 +03:00
Benjamin Knecht f212c163e3 have two detectMarkers functions for python backwards compatibility
using multiple dictionaries for refinement (function split not necessary
as it's backwards compatible)
2025-02-19 18:45:06 +01:00
Benjamin Knecht 9ae23a7f51 Fix index comparison warnings 2025-02-19 10:53:03 +01:00
kyler1cartesis d32d4da9a3 Merge pull request #26887 from kyler1cartesis:4.x
invSqrt SIMD_SCALABLE implementation & HAL tests refactoring #26887

Enable CV_SIMD_SCALABLE for invSqrt.

* Banana Pi BF3 (SpacemiT K1) RISC-V
* Compiler: Syntacore Clang 18.1.4 (build 2024.12)

```
Geometric mean (ms)

                Name of Test                  baseline   simd      simd   
                                                       scalable  scalable
                                                                    vs
                                                                 baseline
                                                                (x-factor)
InvSqrtf::InvSqrtfFixture::(127x61, 32FC1)     0.163    0.051      3.23   
InvSqrtf::InvSqrtfFixture::(127x61, 64FC1)     0.241    0.103      2.35   
InvSqrtf::InvSqrtfFixture::(640x480, 32FC1)    6.460    1.893      3.41   
InvSqrtf::InvSqrtfFixture::(640x480, 64FC1)    9.687    3.999      2.42   
InvSqrtf::InvSqrtfFixture::(1280x720, 32FC1)   19.292   5.701      3.38   
InvSqrtf::InvSqrtfFixture::(1280x720, 64FC1)   29.452   11.963     2.46   
InvSqrtf::InvSqrtfFixture::(1920x1080, 32FC1)  43.326   12.805     3.38   
InvSqrtf::InvSqrtfFixture::(1920x1080, 64FC1)  65.566   26.881     2.44
```
2025-02-19 12:13:48 +03:00
Benjamin Knecht bb07ce7454 Address comments, add Python test 2025-02-18 17:03:37 +01:00
Benjamin Knecht 379b5a2fdb Fix python bindings 2025-02-18 14:08:09 +01:00
Alexander Smorkalov 6092499907 Merge pull request #26932 from shyama7004:deprecationFix
replace tostring() with tobytes()
2025-02-18 13:22:04 +03:00
Alexander Smorkalov b5c3b706de Merge pull request #26933 from asmorkalov:as/drop_android_test
Removed Android test as it's broken for now
2025-02-18 13:21:31 +03:00
Benjamin Knecht c759a7cdde Extend ArUcoDetector to run multiple dictionaries in an efficient
manner.

* Add constructor for multiple dictionaries
* Add get/set/remove/add functions for multiple dictionaries
* Add unit tests

TESTED=unit tests
2025-02-18 11:04:05 +01:00
Alexander Smorkalov f570852d20 Removed Android test as it's broken for now. 2025-02-18 12:52:24 +03:00
shyama7004 c5ad6d7904 replace tostring() with tobytes 2025-02-18 12:25:01 +05:30
Alexander Smorkalov 21402668a1 Merge pull request #26927 from asmorkalov:as/squeeze_windows
Squeeze several Windows pipelines into one with jobs
2025-02-17 15:08:43 +03:00
Alexander Smorkalov 680fd4d975 Merge pull request #26911 from asmorkalov:as/openvx_hal_imgproc
Migrate remaning OpenVX integrations to OpenVX HAL (imgproc)
2025-02-17 13:57:17 +03:00
Alexander Smorkalov 9a3fb556c4 Merge pull request #26928 from shyama7004:doxFix
fix minor issues in calib3d Docs
2025-02-17 13:54:31 +03:00
Alexander Smorkalov 7ac939c53a Squeeze several Windows pipelines into one with jobs. 2025-02-17 13:51:48 +03:00
shyama7004 18c0368840 fix minor issues in calib3d Docs 2025-02-17 12:38:00 +05:30
Alexander Smorkalov 8065f10521 Merge pull request #26921 from shyama7004:sampsonDistance
Fix assertion in cv2.sampsonDistance
2025-02-17 09:25:30 +03:00
Alexander Smorkalov acc9084044 Move OpenVX integrations to imgproc to OpenVX HAL
Covered functions:
- medianBlur
- Sobel
- Canny
- pyrDown
- BoxFilter
- equalizeHist
- GaussianBlur
- remap
- threshold
2025-02-15 09:55:37 +03:00
Skreg a9cb451199 Fix assertion in cv2.sampsonDistance 2025-02-15 04:47:01 +00:00
Alexander Smorkalov 36a5176a5f Merge pull request #26907 from asmorkalov:as/openvx_hal_features2d
Migrate remaning OpenVX integrations to OpenVX HAL (features2d)
2025-02-14 19:39:58 +03:00
Alexander Smorkalov 1de6e20463 Move OpenVX implementation for FAST to HAL. 2025-02-14 17:47:48 +03:00
Alexander Smorkalov ae25c3194f Merge pull request #26875 from asmorkalov:as/in_memory_models
Added trackers factory with pre-loaded dnn models #26875

Replaces https://github.com/opencv/opencv/pull/26295

Allows to substitute custom models or initialize tracker from in-memory model.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-14 15:35:38 +03:00
Alexander Smorkalov a8df0a06ac Merge pull request #26902 from Kababey:patch-3
Update optical_flow.cpp
2025-02-14 15:22:04 +03:00
Alexander Smorkalov b44b30b730 Merge pull request #26898 from mshabunin:fix-riscv-toolchain
RISC-V: error message in the toolchain file when compiler is not found
2025-02-14 13:24:25 +03:00
Alexander Smorkalov 58e557d059 Merge pull request #26903 from asmorkalov:as/openvx_hal
Migrate remaning OpenVX integrations to OpenVX HAL (core) #26903

Tested with OpenVX 1.2 & 1.3 sample implementation.

Steps to build and test:
```
git clone git@github.com:KhronosGroup/OpenVX-sample-impl.git
cd OpenVX-sample-impl
python3 Build.py --os=Linux --conf=Release
cd ..
mkdir build
cmake -DWITH_OPENVX=ON -DOPENVX_ROOT=/mnt/Projects/Projects/OpenVX-sample-impl/install/Linux/x64/Release/ ../opencv
make -j8
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-14 11:55:20 +03:00
Alexander Smorkalov e4b23cf96a Merge pull request #26920 from ConnorBaker:fix/cmake-matches-uses-regex
cmake/OpenCVDetectCUDAUtils.cmake: use IN_LIST to avoid regex matching valid capabilities
2025-02-14 11:54:05 +03:00
Connor Baker 5200419ba5 cmake/OpenCVDetectCUDAUtils.cmake: use IN_LIST to avoid regex matching valid capabilities 2025-02-13 23:47:00 +00:00
Alexander Smorkalov def8619648 Merge pull request #26917 from asmorkalov:as/static_fastcv
Switch to static instance of FastCV
2025-02-13 21:26:42 +03:00
Maksim Shabunin 45aa502549 Merge pull request #26915 from mshabunin:fix-png-be
Resolves #26913
Related(?): #25715 #26832
2025-02-13 16:58:15 +03:00
Alexander Smorkalov 5921aae2b3 Switch to static instance of FastCV on Linux. 2025-02-13 15:58:25 +03:00
Alexander Smorkalov 8e65075c1e Merge pull request #26895 from asmorkalov:as/mean_hal
Use HAL for cv::mean function too
2025-02-12 12:02:14 +03:00
Alexander Smorkalov 7aaada4175 Use HAL for cv::mean function too. 2025-02-12 08:51:20 +03:00
Alexander Smorkalov 62658fba24 Merge pull request #26908 from shyama7004:_DEBUG/NDEBUG
Fix _DEBUG/NDEBUG handling across modules
2025-02-12 08:18:16 +03:00
shyama7004 076bfa6431 Fix _DEBUG/NDEBUG handling across modules (#26151) 2025-02-11 22:00:44 +05:30
lve-gh d8c2f0bcdf Merge pull request #26884 from lve-gh:split8u_rvv_hal
[HAL] split8u RVV 1.0 #26884

### Pull Request Readiness Checklist
* Banana Pi BF3 (SpacemiT K1)
* Compiler: Syntacore Clang 18.1.4 (build 2024.12)
```
Geometric mean (ms)

                  Name of Test                   baseline  hal      hal
                                                    ui               vs
                                                                  baseline 
                                                                     ui
                                                                 (x-factor)
split::Size_Depth_Channels::(127x61, 8UC1, 2)     0.012   0.004     3.12   
split::Size_Depth_Channels::(127x61, 8UC1, 3)     0.019   0.006     2.91   
split::Size_Depth_Channels::(127x61, 8UC1, 4)     0.028   0.011     2.64   
split::Size_Depth_Channels::(127x61, 8UC1, 5)     0.067   0.033     2.02   
split::Size_Depth_Channels::(127x61, 8UC1, 6)     0.084   0.040     2.11   
split::Size_Depth_Channels::(127x61, 8UC1, 7)     0.103   0.055     1.88   
split::Size_Depth_Channels::(127x61, 8UC1, 8)     0.113   0.032     3.50   
split::Size_Depth_Channels::(640x480, 8UC1, 2)    0.454   0.179     2.54   
split::Size_Depth_Channels::(640x480, 8UC1, 3)    0.677   0.298     2.27   
split::Size_Depth_Channels::(640x480, 8UC1, 4)    0.901   0.410     2.20   
split::Size_Depth_Channels::(640x480, 8UC1, 5)    3.781   3.010     1.26   
split::Size_Depth_Channels::(640x480, 8UC1, 6)    4.886   4.009     1.22   
split::Size_Depth_Channels::(640x480, 8UC1, 7)    5.777   4.770     1.21   
split::Size_Depth_Channels::(640x480, 8UC1, 8)    4.596   1.330     3.46   
split::Size_Depth_Channels::(1280x720, 8UC1, 2)   1.377   0.709     1.94   
split::Size_Depth_Channels::(1280x720, 8UC1, 3)   2.091   1.034     2.02   
split::Size_Depth_Channels::(1280x720, 8UC1, 4)   2.744   1.573     1.74   
split::Size_Depth_Channels::(1280x720, 8UC1, 5)   9.542   6.284     1.52   
split::Size_Depth_Channels::(1280x720, 8UC1, 6)   11.114  7.850     1.42   
split::Size_Depth_Channels::(1280x720, 8UC1, 7)   14.083  11.879    1.19   
split::Size_Depth_Channels::(1280x720, 8UC1, 8)   13.524  3.865     3.50   
split::Size_Depth_Channels::(1920x1080, 8UC1, 2)  3.108   1.395     2.23   
split::Size_Depth_Channels::(1920x1080, 8UC1, 3)  4.659   2.128     2.19   
split::Size_Depth_Channels::(1920x1080, 8UC1, 4)  6.127   2.818     2.17   
split::Size_Depth_Channels::(1920x1080, 8UC1, 5)  26.733  16.625    1.61   
split::Size_Depth_Channels::(1920x1080, 8UC1, 6)  31.242  22.414    1.39   
split::Size_Depth_Channels::(1920x1080, 8UC1, 7)  35.968  27.658    1.30   
split::Size_Depth_Channels::(1920x1080, 8UC1, 8)  29.997  8.655     3.47
```
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-02-11 17:57:05 +03:00
Kababey 2364f4b0b9 Update optical_flow.cpp
ref: push_back is changed to emplace_back in order to avoid unnecessary conversions [Scalar(r, g, b))] .
2025-02-11 13:30:48 +03:00
Alexander Smorkalov 7eaddb8aa4 Merge pull request #26897 from shyama7004:typos-fix
fix hal_replacement typos
2025-02-11 09:37:08 +03:00
Maksim Shabunin 284660fb6c RISC-V: error message in the toolchain file when compiler is not found 2025-02-10 18:47:26 +03:00
shyama7004 a490623bf0 fix hal_replacement typos 2025-02-10 20:33:33 +05:30
Alexander Smorkalov 1e013a07c4 Merge pull request #26891 from MaximSmolskiy:refactor-test-for-filestorage-base64
Refactor test for FileStorage Base64
2025-02-10 13:31:29 +03:00
Alexander Smorkalov ce51023ad4 Merge pull request #26894 from Kumataro:fix26893
imgcodecs: tiff: refactor Imgcodecs_Tiff_decode_Huge test
2025-02-10 10:46:31 +03:00
Kumataro fbd8180cc1 imgcodecs: tiff: refactor reading scanlines test 2025-02-10 08:40:28 +09:00
MaximSmolskiy 4d23b56d98 Refactor test for FileStorage Base64 2025-02-09 01:38:14 +03:00
Alexander Smorkalov 0e17a879d7 Merge pull request #26890 from shyama7004:type-hint
fix wrong python type hints for imread
2025-02-08 11:19:36 +03:00
shyama7004 bbca50ecc5 fix wrong python type hints for imread 2025-02-08 11:17:34 +03:00
Kumataro 6c2d6bea2f Merge pull request #26889 from Kumataro:fix26877
doc: update supporting imgcodec format settings #26889

Close https://github.com/opencv/opencv/issues/26877

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-08 10:12:09 +03:00
RoshniUG b323780460 Merge pull request #26662 from RoshniUG:4.x
Update window_cocoa.mm #26662

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
- [x ] Added reference to the original bug report (#26661).
- [x]Updated the code as per the reviewer's suggestion to use a ternary operator.
- [x] Verified that the feature is properly documented and can be built with CMake.
2025-02-08 09:50:53 +03:00
Alexander Smorkalov aeac913203 Merge pull request #26882 from shyama7004:nullptr-setidentity
replace null literals with nullptr and optimize setidentity with std::fill
2025-02-07 17:18:49 +03:00
Alexander Smorkalov 740388b3ce Merge pull request #26867 from shyama7004:fix-meanStdDev
fix meanStdDev overflow for large images
2025-02-07 13:13:35 +03:00
shyama7004 987ba6504b fix meanStdDev overflow for large images 2025-02-07 10:17:48 +03:00
shyama7004 32d3d54ca1 replace null literals with nullptr; optimize setidentity with std::fill for cv_64fc1 2025-02-06 23:48:23 +05:30
天音あめ 2e909c38dc Merge pull request #26804 from amane-ame:norm_hal_rvv
Add RISC-V HAL implementation for cv::norm and cv::normalize #26804

This patch implements `cv::norm` with norm types `NORM_INF/NORM_L1/NORM_L2/NORM_L2SQR` and `Mat::convertTo` function in RVV_HAL using native intrinsic, optimizing the performance for `cv::norm(src)`, `cv::norm(src1, src2)`, and `cv::normalize(src)` with data types `8UC1/8UC4/32FC1`.

`cv::normalize` also calls `minMaxIdx`, #26789 implements RVV_HAL for this.

Tested on MUSE-PI for both gcc 14.2 and clang 20.0.

```
$ opencv_test_core --gtest_filter="*Norm*"
$ opencv_perf_core --gtest_filter="*norm*" --perf_min_samples=300 --perf_force_samples=300
```

The head of the perf table is shown below since the table is too long.

View the full perf table here: [hal_rvv_norm.pdf](https://github.com/user-attachments/files/18468255/hal_rvv_norm.pdf)

<img width="1304" alt="Untitled" src="https://github.com/user-attachments/assets/3550b671-6d96-4db3-8b5b-d4cb241da650" />

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-06 19:34:54 +03:00
Kumataro 01e3fe8791 Merge pull request #26859 from Kumataro:fix26858
imgcodecs:gif: support IMREAD_UNCHANGED and IMREAD_GRAYSCALE #26859

Close #26858 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-02-06 19:29:54 +03:00
Malacath-92 7563cebad5 Merge pull request #26879 from Malacath-92:4.x
Add missing include in gislandmodel.hpp #26879

Add `<exception>`, `<string>`, and `<cstddef>` includes to `gislandmodel.hpp` which are required due to the usage of `std::exception_ptr`, `std::string`, and `size_t` in this header.

Notably one of those causes a build error on recent versions of Xcode: #26780 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [N/A] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [N/A] The feature is well documented and sample code can be built with the project CMake
2025-02-06 13:34:46 +03:00
Alexander Smorkalov 9a566d772f Merge pull request #26878 from asmorkalov:as/respect_namespace_hal
Do not rely on cv namespace in HAL
2025-02-06 12:51:58 +03:00
Alexander Smorkalov b7663086fb Do not rely on cv namespace in HAL. 2025-02-06 10:00:28 +03:00
Suleyman TURKMEN e8e49ab7a8 Merge pull request #26872 from sturkmen72:ImageEncoders_revisions
Performance tests for image encoders and decoders and code cleanup #26872

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-02-04 12:21:55 +03:00
lawrencec98 59c3b6c995 Merge pull request #26600 from lawrencec98:Issue25250-lens-distortion-documentation-unclear
Issue25250 lens distortion documentation unclear #26600

### Pull Request Readiness Checklist

This pull request addresses the issue in https://github.com/opencv/opencv/issues/25250. Using the method recommended by oleg-alexandrov.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-02-03 17:32:25 +03:00
Maksim Shabunin b310233ea4 CI: unified Linux pipeline (#26607) 2025-02-03 10:11:07 +03:00
Letu Ren 0fa61de22a Fix bayer2RGB_EA macro 2025-02-03 14:19:52 +08:00
Alexander Smorkalov 3356b36d72 Merge pull request #26863 from shyama7004:minor-change
minor change
2025-02-03 08:37:57 +03:00
Alexander Smorkalov 0e747e592b Merge pull request #26866 from opencv:revert-26857-patch-1
Revert "Update OpenCVFindWebP.cmake with sturkmen72's suggestion"
2025-02-03 08:25:17 +03:00
Letu Ren d6dc22d03c Fix build on RISC-V 2025-02-03 00:09:36 +08:00
Alexander Smorkalov 4e2f0471bd Revert "Update OpenCVFindWebP.cmake with sturkmen72's suggestion" 2025-02-01 09:27:43 +03:00
Alexander Smorkalov 43cebe52eb Merge pull request #26857 from hmaarrfk:patch-1
Update OpenCVFindWebP.cmake with sturkmen72's suggestion
2025-02-01 09:16:57 +03:00
shyama7004 0cfc2e8fd8 minor change 2025-01-31 21:12:36 +05:30
Suleyman TURKMEN fbd2105067 Merge pull request #26762 from sturkmen72:avif_cmake
Fixed AVIF linkage on Windows #26762 

Closes #26747

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-31 16:41:08 +03:00
天音あめ 13b2caffe0 Merge pull request #26789 from amane-ame:minmax_hal_rvv
Add RISC-V HAL implementation for minMaxIdx #26789

On the RISC-V platform, `minMaxIdx` cannot benefit from Universal Intrinsics because the UI-optimized `minMaxIdx` only supports `CV_SIMD128` (and does not accept `CV_SIMD_SCALABLE` for RVV).

https://github.com/opencv/opencv/blob/1d701d1690b8cc9aa6b86744bffd5d9841ac6fd3/modules/core/src/minmax.cpp#L209-L214

This patch implements `minMaxIdx` function in RVV_HAL using native intrinsic, optimizing the performance for all data types with one channel.

Tested on MUSE-PI for both gcc 14.2 and clang 20.0.

```
$ opencv_test_core --gtest_filter="*MinMaxLoc*"
$ opencv_perf_core --gtest_filter="*minMaxLoc*"
```
<img width="1122" alt="Untitled" src="https://github.com/user-attachments/assets/6a246852-87af-42c5-a50b-c349c2765f3f" />

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-31 14:26:49 +03:00
Vincent Rabaud c21d0ad9d0 Merge pull request #26854 from vrabaud:png_leak
Fix oss-fuzz bugs 391934081 and 392318892 #26854

- fix a potential overflow in x0+w0
- use the proper function to deal with background color to deal with all cases of the spec
- use BGR layout for APNG background color

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-31 11:00:23 +03:00
Alexander Smorkalov 2f58f82e84 Merge pull request #26853 from horror-proton:rvv-fast-atan
Add RISC-V HAL implementation for fastAtan32f/fastAtan64f
2025-01-31 09:29:58 +03:00
Alexander Smorkalov ea404df069 Merge pull request #26856 from mshabunin:fix-rvv-tests-2
RISC-V: increase DotProduct test threshold a bit
2025-01-31 09:29:15 +03:00
Mark Harfouche 2a0092cf75 Update OpenCVFindWebP.cmake with sturkmen72's suggestion
@sturkmen72  feel free to fold into https://github.com/opencv/opencv/pull/26762 but I would just like a dedicated patch to try.
2025-01-30 16:18:48 -05:00
Maksim Shabunin f6c9ca5602 RISC-V: increase DotProduct test threshold a bit 2025-01-30 15:09:32 +03:00
Alexander Smorkalov d5f69305cb Merge pull request #26851 from sturkmen72:fix-22551
fix related the issue 22551
2025-01-29 18:06:22 +03:00
Skreg bb798d15e1 Merge pull request #26831 from shyama7004:fix-denoising.cpp
Added 16-bit support to fastNlMeansDenoising and updated tests #26831

Fixes : #26582

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-29 15:45:40 +03:00
Horror Proton 86241653a7 Add RISC-V HAL implementation for cv::phase 2025-01-29 12:07:59 +08:00
Suleyman TURKMEN 585226a5fd fix for large tEXt chunk 2025-01-28 16:54:00 +03:00
Maxim Smolskiy 08a24ba2cf Merge pull request #26846 from MaximSmolskiy:fix_bug_with_int64_support_for_FileStorage
Fix bug with int64 support for FileStorage #26846

### Pull Request Readiness Checklist

Fix #26829, https://github.com/opencv/opencv-python/issues/1078

In current implementation of `int64` support raw size of recorded integer is variable (`4` or `8` bytes depending on value). But then we iterate over nodes we need to know it exact value
https://github.com/opencv/opencv/blob/dfad11aae7ef3b3a0643379266bc363b1a9c3d40/modules/core/src/persistence.cpp#L2596-L2609

Bug is that `rawSize` method still return `4` for any integer. I haven't figured out a way how to get variable raw size for integer in this method. I made raw size for integer is constant and equal to `8`.

Yes, after this patch memory consumption for integers will increase, but I don't know a better way to do it yet. At least this fixes bug and implementation becomes more correct

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
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- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-01-28 11:08:26 +03:00
Alexander Smorkalov 0049cde1f7 Merge pull request #26826 from devatbosch:4.x
Workaround solution for isuue #26818
2025-01-28 08:01:41 +03:00
Skreg e62ab4ff71 Merge pull request #26850 from shyama7004:update-headers
Update includes in filter.hpp #26850

Fixes :
```
identifier "Mat" is undefinedC/C++(20)
namespace "std" has no member "vector"C/C++(135)
```

### Pull Request Readiness Checklist

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2025-01-28 07:26:40 +03:00
Kumataro c840e24e94 Merge pull request #26844 from Kumataro:fix26843
imgcodecs: jpegxl: imdecode() directly read from memory #26844

Close #26843 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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2025-01-27 17:18:28 +03:00
eplankin ae57c54d83 Merge pull request #26463 from eplankin:icv_update_2022.0.0
Update IPP integration #26463

Please merge together with https://github.com/opencv/opencv_3rdparty/pull/88
Supported IPP version was updated to IPP 2022.0.0 for Linux and Windows. 32-bit binaries are dropped since this release.

Previous update: https://github.com/opencv/opencv/pull/25935
2025-01-27 17:02:36 +03:00
Alexander Smorkalov f5c06f8b91 Merge pull request #26848 from vrabaud:png
Fix overlow pointers.
2025-01-27 16:54:10 +03:00
Alexander Smorkalov 4403e3bad8 Merge pull request #26847 from IHni3:4.x
Fix bug different marker ordering with findChessboardCornersSBWithMeta and CALIB_CB_LARGER flag
2025-01-27 16:10:55 +03:00
Alexander Smorkalov 33da8763a5 Merge pull request #26717 from s-trinh:add_border_type_doc_examples
Add examples for each `cv::BorderTypes` enum types in the documentation
2025-01-27 14:02:38 +03:00
Vincent Rabaud c5f6ed6fef Fix overlow pointers.
`step` and `maskStep` are used to increase/decrease `pImage`.
But it's done on unsigned type, relying on overflow, which is UB.
(step is size_t but seed.y is int and can be negative, the result
is therefore unsigned which can overflow)
2025-01-27 11:55:10 +01:00
tho 9dde7790cf fix bug different marker ordering with findChessboardCornersSBWithMeta and CALIB_CB_LARGER flag 2025-01-27 11:10:26 +01:00
s-trinh df5da4abcd Merge pull request #26754 from s-trinh:add_bibtex_direct_pdf_links
Add direct pdf links in the bibliography #26754

Update and add pdf links in the bibliography.

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch
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2025-01-27 10:28:38 +03:00
Snehasish Basu 8a8e59c8fd Update predefined_types.py
Updated predefined_types.py to keep changes only as suggested in 

https://github.com/opencv/opencv/pull/26826#pullrequestreview-2572608505

https://github.com/opencv/opencv/pull/26826#issuecomment-2613926475
2025-01-27 10:52:28 +05:30
Johnny 4b2a33a5c6 Merge pull request #26820 from johnnynunez:patch-1
Initial support Blackwell GPU arch #26820 
 
10.0 blackwell b100/b200
12.0 blackwell rtx50

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-01-25 09:51:27 +03:00
Alexander Smorkalov 6bffa64af4 Merge pull request #26841 from MaximSmolskiy:fix_data01.xml-file-for-example_cpp_logistic_regression
Fix data01.xml file for example_cpp_logistic_regression
2025-01-25 09:45:01 +03:00
Alexander Smorkalov c637dd2646 Merge pull request #26828 from sturkmen72:imgcodecs_improvements
Imgcodecs minor improvements for better code readibility
2025-01-25 09:41:10 +03:00
Suleyman TURKMEN d4eed1c5aa Merge pull request #26835 from sturkmen72:patch-4
Corrections on bKGD chunk writing and reading in PNG #26835 

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-25 09:31:00 +03:00
Rüdiger Ihle a2dd4ddbb2 Merge pull request #26837 from warped-rudi:zoom
Zoom functionality for Android native camera capture #26837

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-25 09:29:00 +03:00
MaximSmolskiy 8cb3ef177c Fix data01.xml file for example_cpp_logistic_regression 2025-01-25 00:53:52 +03:00
Suleyman TURKMEN ca51d55ee3 minor improvement for better code readibility 2025-01-24 15:31:53 +03:00
Gou Minghao 9bb01e799f Merge pull request #26669 from GouMinghao:4.x
solvePnPRansac implementation for Fisheye camera model #26669

Related: https://github.com/opencv/opencv/pull/25028

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-01-24 14:51:10 +03:00
Pierre Chatelier 3cbb4acd2d Merge pull request #26836 from chacha21:thresholding_compute_threshold_only
Add cv::THRESH_DRYRUN flag to get adaptive threshold values without thresholding #26836

A first proposal for #26777

Adds a `cv::THRESH_DRYRUN` flag to let cv::threshold() compute the threshold (useful for OTSU/TRIANGLE), but without actually running the thresholding. This flags is a proposal instead of a new function cv::computeThreshold()

- [x] I agree to contribute to the project under Apache 2 License.
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- [X] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2025-01-24 14:25:21 +03:00
Kumataro ab77e1cfc8 Merge pull request #26678 from Kumataro:fix26673
OpenEXR 2.2 or earlier cannot be used with C++17 or later #26678

Close https://github.com/opencv/opencv/issues/26673
Close https://github.com/opencv/opencv/issues/25313

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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2025-01-24 14:18:29 +03:00
Alexander Smorkalov 9a77bef92b Merge pull request #26832 from vrabaud:png
Move the checks to read_chunk.
2025-01-24 12:53:09 +03:00
Alexander Smorkalov a3e95ec6d0 Merge pull request #26660 from NekoAsakura:4.x
Cocoa/highgui: replace with `@autoreleasepool` blocks
2025-01-24 11:34:27 +03:00
Vincent Rabaud 4e4eaea9a3 Move the checks to read_chunk.
Only user chunks need to be compared to PNG_USER_CHUNK_MALLOC_MAX
2025-01-23 16:37:46 +01:00
Alexander Smorkalov 4a4031dc48 Merge pull request #26601 from dai-xin:4.x
VideoCapture open camera slow
2025-01-22 20:48:29 +03:00
Rüdiger Ihle c623a5afc1 Merge pull request #26646 from warped-rudi:refactoring
Android camera refactoring #26646

This patch set does not contain any functional changes. It just cleans up the code structure to improve readability and to prepare for future changes.

* videoio(Android): Use 'unique_ptr' instead of 'shared_ptr'
Using shared pointers for unshared data is considered an antipattern.
* videoio(Android): Make callback functions private static members
Don't leak internal functions into global namespace. Some member
variables are now private as well.
* videoio(Android): Move resolution matching into separate function
Also make internally used member functions private.
* videoio(Android): Move ranges query into separate function
Also remove some unneccessary initialisations from initCapture().
* videoio(Android): Wrap extremly long source code lines
* videoio(Android): Rename members of 'RangeValue'

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2025-01-22 16:58:14 +03:00
Vincent Rabaud 7728dd3387 Merge pull request #26782 from vrabaud:png_leak
Fix potential READ memory access #26782

This fixes https://oss-fuzz.com/testcase-detail/4923671881252864 and https://oss-fuzz.com/testcase-detail/5048650127966208

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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2025-01-22 14:47:28 +03:00
Skreg f6aa472acc Merge pull request #26800 from shyama7004:fix-cap-orientation-auto-default
Fixed default cap_prop_orientation_auto behaviour #26800

Fixes : #26795

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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2025-01-22 13:55:48 +03:00
Skreg 055dbbb848 Merge pull request #26815 from shyama7004:fix-deprecation
Replaced sprintf with snprintf #26815

Fixes : #26814

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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2025-01-22 13:53:59 +03:00
Maxim Smolskiy 8ab0ad6e1b Merge pull request #26810 from MaximSmolskiy:improve-robustness-for-fitEllipseAMS
Improve robustness for fitEllipseAMS #26810

### Pull Request Readiness Checklist

Related to #26694 

Added functionality to add noise to points in degenerate cases and try again for `fitEllipseAMS`. `fitEllipseNoDirect` and `fitEllipseDirect` already have this

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-01-22 12:49:12 +03:00
Kumataro ea023b72ce Merge pull request #26788 from Kumataro:fix26767
jpegxl: support cv::IMREAD_UNCHANGED and other ImreadFlags #26788

Close https://github.com/opencv/opencv/issues/26767

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-01-22 10:50:43 +03:00
Suleyman TURKMEN db962ea069 Merge pull request #26813 from sturkmen72:fix_animation
Added CV_WRAP to Animation struct #26813

closes #26808
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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2025-01-22 10:40:08 +03:00
Alexander Smorkalov 459bb12466 Merge pull request #26778 from vidipsingh:doc-fix-fontscale-behavior-puttext
Added fontScale behavior description to putText() documentation
2025-01-21 11:21:42 +03:00
Skreg fe9405e8c0 Merge pull request #26806 from shyama7004:fix-typo
* fix a small typo

* removal of unused variable
2025-01-20 17:14:27 +03:00
Maxim Smolskiy a2a3f5e86c Merge pull request #26773 from MaximSmolskiy:improve-robustness-for-ellipse-fitting
Improve robustness for ellipse fitting #26773

### Pull Request Readiness Checklist

Related to #26694 

Current noise addition is not very good because for example it turns degenerate case of one horizontal line into degenerate case of two parallel horizontal lines

Improving noise addition leads to improved robustness of algorithms

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-01-20 14:25:40 +03:00
Alexander Smorkalov 6f24d755f2 Merge pull request #26798 from brad0:opencv_powerpc_elf_aux_info
Add CMake checks for getauxval and elf_aux_info for POWER
2025-01-20 13:33:46 +03:00
Alexander Smorkalov 2db6b29a76 Merge pull request #26787 from MaximSmolskiy:fix_memory_leaks_for_JpegXLDecoder
Fix memory leaks for JpegXLDecoder
2025-01-20 13:33:10 +03:00
Alexander Smorkalov 5949cb10ee Merge pull request #26793 from UnnamedOrange:4.x
Fix an is-empty condition in FFmpeg video capture when parsing FFmpeg options defined in the environment variables
2025-01-20 11:30:42 +03:00
Kumataro 3e1fafefbe Merge pull request #26802 from Kumataro:fix26801
3rdparty:ittnotify: update to v3.25.4 #26802

Close https://github.com/opencv/opencv/issues/26801
See https://github.com/opencv/opencv/pull/26797

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2025-01-20 10:54:13 +03:00
Alexander Smorkalov 133fda3c56 Merge pull request #26803 from brad0:opencl_openbsd
OpenCL: OpenBSD build fix
2025-01-20 09:31:46 +03:00
Alexander Smorkalov 16cbdcf582 Merge pull request #26805 from MaximSmolskiy:fix-typo-in-matchTemplate-description
Fix typo in matchTemplate description
2025-01-20 09:28:12 +03:00
Brad Smith 918196ec1b Add CMake checks for getauxval and elf_aux_info for POWER
- Change __unix__ check for feature detection. NetBSD does not
have either API.
- Adds support for OpenBSD/powerpc64.
2025-01-19 13:27:20 -05:00
MaximSmolskiy 500e1ff763 Fix typo in matchTemplate description 2025-01-19 17:31:03 +03:00
Brad Smith 93023e1a68 OpenCL: OpenBSD build fix 2025-01-19 02:46:25 -05:00
Maksim Shabunin 3effe195cb Merge pull request #26786 from mshabunin/fix-ppc64-gcc15
core: fixed VSX build with GCC 15
2025-01-18 16:13:28 +03:00
UnnamedOrange 8482caf348 Fix an is-empty condition in FFmpeg video capture 2025-01-18 17:01:22 +08:00
MaximSmolskiy b7e1cba660 Fix memory leaks for JpegXLDecoder 2025-01-17 00:39:32 +03:00
Maksim Shabunin 63ef786a3a core: fixed VSX build with GCC 15 2025-01-16 23:48:29 +03:00
Neko Asakura eff12685c5 Cocoa/highgui: replace with @autoreleasepool blocks and clean up extraneous comments 2025-01-16 11:40:41 +08:00
Vidip Singh 6ba8f4838b Added fontScale behavior description to putText() documentation
- Updated the documentation of the putText function to clarify the behavior of the fontScale parameter.
- Explained how fontScale affects text rendering: magnifying (>1), minimizing (<1), and mirroring (<0).
2025-01-15 19:17:29 +05:30
Alexander Smorkalov 1d701d1690 Merge pull request #26776 from vrabaud:ub_warp
Don't overflow pointer addition
2025-01-15 15:19:19 +03:00
Vincent Rabaud e76924ef0d Don't overflow pointer addition
In both cases we add negative value (as unsigned type), so
pointer addition wraps, which is undefined behavior.
2025-01-15 11:07:43 +01:00
Alexander Smorkalov 796adf5dc6 Merge pull request #26769 from y-guyon:patch-1
Avoid adding value to nullptr
2025-01-14 19:06:52 +03:00
Alexander Smorkalov 1a6ef7e08c Merge pull request #26765 from asmorkalov:as/android_vulkan_build_fix
Fixed Android build with Vulkan support.
2025-01-14 16:23:22 +03:00
Yannis Guyon b62ab874d1 Avoid adding value to nullptr
This UB can be avoided by postponing calculation until needed.
2025-01-14 10:50:53 +01:00
Alexander Smorkalov 534243647e Fixed Android build with Vulkan support. 2025-01-13 21:13:22 +03:00
Alexander Smorkalov 342ced1e04 Merge pull request #26763 from vrabaud:remove_c
Remove useless C headers
2025-01-13 20:23:10 +03:00
Vincent Rabaud bfb54aa691 Remove useless C headers 2025-01-13 16:34:28 +01:00
Alexander Smorkalov 6931a4cc06 Merge pull request #26744 from Diego1V:fixHoughSIGSEGV
Fix #26086 - Update types inside HoughLinesProbabilistic
2025-01-13 13:05:21 +03:00
Skreg 08a88816ed Merge pull request #26753 from shyama7004:RotatedMarkers
Fix rotated aruco marker board generation #26753

### Issue : [25884](https://github.com/opencv/opencv/issues/25884)
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-13 10:51:03 +03:00
Alexander Smorkalov d6f60d4ab8 Merge pull request #26757 from shyama7004:test-fix
fix threshold for photo_calibratedebevec regression test
2025-01-13 10:25:18 +03:00
Diego1V 052b2c43c3 Update types inside HoughLinesProbabilistic in order to handle great images. 2025-01-13 09:36:44 +03:00
shyama7004 5b7b887200 Photo_CalibrateDebevec.regression-fix 2025-01-12 19:45:22 +05:30
Maksym Ivashechkin e29a70c17f Merge pull request #26742 from ivashmak:fix_homography_inliers
Bug fix for #25546 - Updating inliers for homography estimation #26742

Fixes #25546

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-01-11 18:08:58 +03:00
Super 2c2866a7a6 Merge pull request #26738 from redhecker:fix
Fix bugs in GIF decoding #26738 

### Pull Request Readiness Checklist

this is related to #25691 

i solved two bugs here:

1. the decoding setting:
according to [https://www.w3.org/Graphics/GIF/spec-gif89a.txt](https://www.w3.org/Graphics/GIF/spec-gif89a.txt)

```
    DEFERRED CLEAR CODE IN LZW COMPRESSION

    There has been confusion about where clear codes can be found in the
    data stream.  As the specification says, they may appear at anytime.  There
    is not a requirement to send a clear code when the string table is full.

    It is the encoder's decision as to when the table should be cleared.  When
    the table is full, the encoder can chose to use the table as is, making no
    changes to it until the encoder chooses to clear it.  The encoder during
    this time sends out codes that are of the maximum Code Size.

    As we can see from the above, when the decoder's table is full, it must
    not change the table until a clear code is received.  The Code Size is that
    of the maximum Code Size.  Processing other than this is done normally.

    Because of a large base of decoders that do not handle the decompression in
    this manner, we ask developers of GIF encoding software to NOT implement
    this feature until at least January 1991 and later if they see that their
    particular market is not ready for it.  This will give developers of GIF
    decoding software time to implement this feature and to get it into the
    hands of their clients before the decoders start "breaking" on the new
    GIF's.  It is not required that encoders change their software to take
    advantage of the deferred clear code, but it is for decoders.
```
at first i didn't consider this case, thus leads to a bug discussed in #25691. the changes made in function lzwDecode() is aiming at solving this.

2. the fetch method of loopCount:
in the codes at https://github.com/opencv/opencv/blob/4.x/modules/imgcodecs/src/grfmt_gif.cpp#L410, if the branch is taken, 3 more bytes will be taken, leading to unpredictable behavior.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-11 10:34:49 +03:00
Alexander Smorkalov 1e31f8047d Merge pull request #26748 from vrabaud:png_leak
Fix remaining bugs in PNG reader
2025-01-11 10:21:38 +03:00
Alexander Smorkalov bb79493a89 Merge pull request #26750 from mshabunin:fix-ppc64-vsx
core: fixed VSX intrinsics implementation
2025-01-11 09:40:21 +03:00
Vincent Rabaud ee86f1c969 Fix remaining bugs in PNG reader
- free chunk before a potential longjmp
- do not try to allocate when the chunk is > PNG_USER_CHUNK_MALLOC_MAX
2025-01-10 17:04:39 +01:00
Maksim Shabunin 97f3f39066 core: fixed VSX intrinsics implementation 2025-01-10 18:34:11 +03:00
Skreg f00814e38d Merge pull request #26602 from shyama7004:minor-fix
Improved dumpVector, cv::Rect operator<< and exceptions #26602

- Applied format for vector element formatting to ensure consistent and clear output representation.  
- Moved `operator<<` to the `cv` namespace to align with OpenCV's coding standards and improve maintainability.  
- Enhanced error handling by including detailed exception messages using `e.what()` for better debugging.  

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-10 15:02:18 +03:00
Junrou Nishida 85f9ac4e23 Merge pull request #26713 from homuler:fix/build-ios-framework
Ensure Obj-C header files are generated correctly if under /private/var #26713

Fix #26712 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-10 14:48:56 +03:00
Alexander Smorkalov 68187de4ad Merge pull request #26741 from shyama7004:minor-update
added POST_BUILD to add_custom_command in python_loader.cmake to avoid warning
2025-01-10 13:39:58 +03:00
Vincent Rabaud d12fa37eed Merge pull request #26739 from vrabaud:png_leak
Add more boundary checks. #26739

Also fix a bug in read_chunk where we could end up with png_get_uint_32(len) + 12 < 4

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-10 11:33:43 +03:00
shyama7004 05bc484eed addition of POST_BUILD 2025-01-09 20:40:56 +05:30
Alexander Smorkalov bdb6a968ce Merge pull request #26706 from Kumataro:fix26705
imgcodecs: fix EXR tests
2025-01-09 15:46:52 +03:00
Alexander Smorkalov 0da8c760d3 Merge pull request #26710 from Kumataro:fix26709
core: validate OPENCV_ALGO_HINT_DEFAULT option
2025-01-09 15:44:19 +03:00
Alexander Smorkalov 7e7c75e239 Merge pull request #26737 from shyama7004:minor-change
minor change
2025-01-09 15:14:28 +03:00
shyama7004 938f89a20e minor change 2025-01-08 20:17:17 +05:30
Alexander Smorkalov d744296bbd Merge branch 'as/release_4.11.0' into 4.x 2025-01-08 17:25:28 +03:00
Alexander Smorkalov 31b0eeea0b Release 4.11.0 2025-01-08 15:47:46 +03:00
Alexander Smorkalov d2704548b4 Merge pull request #26734 from asmorkalov:as/png_corrupted
Fixed fread size check for corrupted PNGs
2025-01-08 15:47:19 +03:00
Alexander Smorkalov 198f23890e Fixed fread size check for corrupted PNGs. 2025-01-08 14:23:43 +03:00
Alexander Smorkalov 66ffeae4b1 Merge pull request #26728 from vrabaud:png_behavior
Fix behavior change when PNG buffer is incomplete.
2025-01-08 13:23:02 +03:00
Alexander Smorkalov 38b86591ba Merge pull request #26729 from MaximSmolskiy:change-article-for-fitEllipseDirect-function
Change article for fitEllipseDirect function
2025-01-08 12:14:45 +03:00
Vincent Rabaud cb959b3915 Fix behavior change when PNG buffer is incomplete. 2025-01-08 09:11:38 +01:00
Alexander Smorkalov e34eff9ab2 Merge pull request #26721 from MaximSmolskiy:fix-comment-for-fitEllipse-Java-case-accurracy-test
Fix comment for fitEllipse Java case accurracy test
2025-01-08 11:09:32 +03:00
Alexander Smorkalov 0dfd2b3628 Merge pull request #26719 from MaximSmolskiy:remove-code-duplication-from-tests-for-ellipse-fitting
Remove code duplication from tests for ellipse fitting
2025-01-08 11:07:55 +03:00
Alexander Smorkalov 4b35101d55 Merge pull request #26720 from vrabaud:png_leak
Use RAII to avoid leaks in PNG reader.
2025-01-08 10:57:28 +03:00
Alexander Smorkalov d5087a2bd6 Merge pull request #26726 from vrabaud:png_comment
Remove extra /* in /**/ comment
2025-01-08 10:56:59 +03:00
MaximSmolskiy 0331af01ae Change article for fitEllipseDirect function 2025-01-07 22:24:48 +03:00
Vincent Rabaud 0e3d71b0e0 Remove extra /* in /**/ comment 2025-01-07 11:49:30 +01:00
MaximSmolskiy 9b85ab0a63 Fix comment for fitEllipse Java case accurracy test 2025-01-06 19:14:57 +03:00
Vincent Rabaud d86387347d Use RAII to avoid leaks in PNG reader. 2025-01-06 16:42:30 +01:00
MaximSmolskiy 56dd9d51b1 Remove code duplication from tests for ellipse fitting 2025-01-06 17:13:32 +03:00
Masahiro Ogawa fc994a6ae8 Merge pull request #21407 from sensyn-robotics:feature/weighted_hough
Feature: weighted Hough Transform #21407

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [x] There is reference to original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-01-06 15:35:35 +03:00
Suleyman TURKMEN 2aee94752a Merge pull request #26714 from sturkmen72:png
Fix for png durations and memory leak #26714

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-06 14:25:08 +03:00
Alexander Smorkalov 904dbe9555 Merge pull request #26716 from MaximSmolskiy:fix-tests-for-ellipse-fitting
Fix tests for ellipse fitting
2025-01-06 14:07:29 +03:00
Alexander Smorkalov 3d7eb55f75 Merge pull request #26715 from asmorkalov:as/png_leak
Fixed some memory leaks in PNG/APNG implementation
2025-01-06 12:00:17 +03:00
Alexander Smorkalov ad36f68500 Fixed some memory leaks in PNG/APNG implementation. 2025-01-06 10:41:33 +03:00
Souriya Trinh 5000ec50db Add examples for each cv::BorderTypes enum types to better illustrate the result of each method in the documentation. 2025-01-06 03:57:35 +01:00
MaximSmolskiy 3e534bb7c8 Fix tests for ellipse fitting 2025-01-06 01:27:06 +03:00
Alexander Smorkalov ff18c9cc79 Merge pull request #26688 from sturkmen72:gif-png-webp-avif
Animated GIF APNG WEBP AVIF revisions
2025-01-04 16:44:14 +03:00
Rüdiger Ihle a6f72f813d Merge pull request #26698 from warped-rudi:mediandk2
AndroidMediaNdkVideoWriter pixel format enhancement #26698

* videoio(Android): Add source pixel formats RGBA and GRAY to AndroidMediaNdkVideoWriter

Let AndroidMediaNdkVideoWriter::write() deduce source pixel format from matrix type:

CV_8UC3 -> BGR   (as before)
CV_8UC4 -> RGBA  (use in conjunction with CvCameraViewFrame)
CV_8UC1 -> GRAY

* samples/android/video-recorder: Send images to VideoWriter in RGBA format

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-03 17:53:00 +03:00
Alexander Smorkalov f65006eee1 Merge pull request #26699 from vrabaud:bmp_overflow
Fix integer overflow in in cv::BmpDecoder::readHeader
2025-01-03 14:43:23 +03:00
Suleyman TURKMEN b4d0325666 GIF APNG WEBP AVIF revisions 2025-01-03 14:29:18 +03:00
Vincent Rabaud 0538e64b13 Fix leaks in cv:Merge pull request #26701 from vrabaud:png_leak
Fix leaks in cv::PngDecoder #26701

Bug: oss-fuzz:386688709

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-01-03 14:13:18 +03:00
Kumataro b9505ac861 core: validate OPENCV_ALGO_HINT_DEFAULT option 2025-01-03 19:22:57 +09:00
Alexander Smorkalov 9e8b9a0ebb Merge pull request #26695 from albertoZurini:py_pose_coordinates
fix: cast coordinates to int32 for compatibility with line function
2025-01-03 11:43:30 +03:00
Vincent Rabaud 845616d82c Fix integer overflow in in cv::BmpDecoder::readHeader
Bug: oss-fuzz:371546812
2025-01-03 08:59:43 +01:00
Alexander Smorkalov 5e1eed5026 Merge pull request #26700 from vrabaud:png_buffer_overflow
Fix heap buffer overflow in cv::PngDecoder::read_from_io
2025-01-03 10:39:23 +03:00
Alexander Smorkalov ffd0548651 Merge pull request #26704 from vrabaud:imgcodecs_flaky
Fix flaky Imgcodecs_APNG.imwriteanimation_bgcolor
2025-01-03 10:25:06 +03:00
Kumataro 1281317e17 imgcodecs: fix EXR tests 2025-01-03 09:53:01 +09:00
Vincent Rabaud 2f0035b23f Fix flaky Imgcodecs_APNG.imwriteanimation_bgcolor 2025-01-02 22:53:06 +01:00
MaximSmolskiy ab0a818c84 Fix matchTemplate with mask crash 2025-01-02 22:14:08 +03:00
Vincent Rabaud 12963ea699 Fix heap buffer overflow in cv::PngDecoder::read_from_io
Bug: oss-fuzz:386688710
2025-01-02 14:51:20 +01:00
Alberto Zurini f2878eb337 fix: cast coordinates to int32 for compatibility with line function 2025-01-01 21:13:40 +01:00
Alexander Smorkalov 4d26e16af8 Merge pull request #26690 from MaximSmolskiy:speed-up-and-reduce-memory-consumption-for-findContours
Speed up and reduce memory consumption for findContours
2024-12-31 12:31:11 +03:00
cDc 1db982780f Merge pull request #26379 from cdcseacave:jxl_codec
Add jxl (JPEG XL) codec support #26379

### Pull Request Readiness Checklist

Related CI and Docker changes:
- https://github.com/opencv/ci-gha-workflow/pull/190
- https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/44

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work https://github.com/opencv/opencv/issues/20178
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-12-31 11:56:35 +03:00
Alexander Smorkalov c803aa2ddd Merge pull request #26057 from asmorkalov:as/android_16k_pages
Android builds update #26057

Fixes https://github.com/opencv/opencv/issues/26027
Should also address https://github.com/opencv/opencv/issues/26542
 
Changes:
- Switched to Android build tools 34, NDK 26d, target API level 34 (required by Google Play).
- Use flexible page size on Android by default to support Android 15+.
- Dummy stub for R and BuildConfig classes for javadoc.
- Java 17 everywhere.
- Strict ndkVersion and ABI list in release package.

Related:
- Docker: https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/41
- Pipeline: https://github.com/opencv/ci-gha-workflow/pull/183

Related IPP issue with NDK 27+: https://github.com/opencv/opencv/issues/26072

Google documentation for 16kb pages support : https://developer.android.com/guide/practices/page-sizes?hl=en

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-31 11:53:04 +03:00
Alexander Smorkalov 269ff8cd83 Merge pull request #26691 from asmorkalov:as/unstable_vkcom
Tune threshold to stabinlize test with Vulkan backend.
2024-12-31 10:35:44 +03:00
Alexander Smorkalov d2264d5868 Tune threshold to stabinlize test with Vulkan backend. 2024-12-31 10:23:13 +03:00
MaximSmolskiy f15fa21c6b Speed up and reduce memory consumption for findContours 2024-12-31 02:49:15 +03:00
Suleyman TURKMEN 8bc65a1d13 Merge pull request #25715 from sturkmen72:apng_support
Animated PNG Support #25715

Continues https://github.com/opencv/opencv/pull/25608

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-12-30 11:32:31 +03:00
Rüdiger Ihle d39aae6bdf Merge pull request #26656 from warped-rudi:mediandk
AndroidMediaNdkCapture pixel format enhancement #26656

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-30 11:09:11 +03:00
Alexander Smorkalov 9c33baebbd Merge pull request #26675 from hanliutong:rvv-hal-fix
Add test cases and fix bugs in the RISC-V Vector HAL.
2024-12-29 18:09:21 +03:00
Alexander Alekhin 1b48eafe48 Merge pull request #26672 from opencv-pushbot:gitee/alalek/update_ffmpeg_4.x 2024-12-29 01:42:29 +00:00
Liutong HAN b31f7694c5 Add test cases and fix bugs in the RVV HAL. 2024-12-27 08:39:52 +00:00
Alexander Smorkalov 94bccbecc0 Merge pull request #26635 from FantasqueX:remove-no-long-long-1
Remove useless -Wno-long-long option
2024-12-27 10:01:53 +03:00
Alexander Smorkalov aeb7a9b383 Merge pull request #26671 from asmorkalov:as/fastcv_cmake_fix
Sevral fixes for FastCV handling.
2024-12-26 18:36:08 +03:00
Alexander Smorkalov 707ab39454 Merge pull request #26164 from CSBVision:patch-7
Update haveCUDA() to detect CUDA support at runtime
2024-12-26 15:56:03 +03:00
Alexander Alekhin c64fe91ff4 ffmpeg/4.x: update FFmpeg wrapper 2024.12 2024-12-26 12:30:48 +00:00
Alexander Alekhin 4c7ea70051 videoio(test): re-enable FFmpeg tests on WIN32
- related PR25874
2024-12-26 12:29:45 +00:00
Alexander Alekhin 09892c9d17 fix FFmpeg wrapper build 2024-12-26 12:15:46 +00:00
Dmitry Kurtaev e9982e856f Merge pull request #25584 from dkurt:videocapture_from_buffer
Open VideoCapture from data stream #25584

### Pull Request Readiness Checklist

Add VideoCapture option to read a raw binary video data from `std::streambuf`.

There are multiple motivations:
1. Avoid disk file creation in case of video already in memory (received by network or from database).
2. Streaming mode. Frames decoding starts during sequential file transfer by chunks.

Suppoted backends:
* FFmpeg
* MSMF (no streaming mode)

Supporter interfaces:
* C++ (std::streambuf)
* Python (io.BufferedIOBase)

resolves https://github.com/opencv/opencv/issues/24400

- [x] test h264
- [x]  test IP camera like approach with no metadata but key frame only?
- [x] C API plugin

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-12-26 12:48:49 +03:00
Alexander Smorkalov 745a12c03b Sevral fixes for FastCV handling. 2024-12-26 09:54:09 +03:00
Alexander Smorkalov 96d6395a6d Merge pull request #26668 from WangWeiLin-MV:gstreamer/add-include-chrono
Add include chrono gstreamersource.cpp
2024-12-24 18:44:49 +03:00
WangWeiLin-MV fe649f4adb Add include chrono gstreamersource.cpp 2024-12-24 06:53:30 +00:00
Alexander Smorkalov f106866d3e Merge pull request #26666 from mshabunin:fix-rvv-tests
RISC-V: enabled intrinsics in dotProd, relaxed test thresholds
2024-12-24 08:59:25 +03:00
Maksim Shabunin 0756dbfe3d RISC-V: enabled intrinsics in dotProd, relaxed test thresholds 2024-12-24 00:58:54 +03:00
Alexander Smorkalov b42075f3e2 Merge pull request #26664 from asmorkalov:update_version_4.11.0-pre
pre: OpenCV 4.11.0 (version++)
2024-12-23 15:34:39 +03:00
Alexander Smorkalov 1399672a83 Merge pull request #26663 from mshabunin:cleanup-dnn-ie-test
dnn: remove obsolete OV models tests
2024-12-23 14:32:06 +03:00
Alexander Smorkalov a2ce9e1bac pre: OpenCV 4.11.0 (version++) 2024-12-23 13:58:08 +03:00
Maksim Shabunin ec2208f5f7 dnn: remove obsolete OV models tests 2024-12-23 12:59:33 +03:00
FantasqueX 4efd52f676 Merge pull request #26650 from FantasqueX:fix-26642
Use size_t when calculating size of all_points #26650

Closes: #26642 

Asan log
```
=================================================================
==41401==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x7fc55a02a3fc at pc 0x7fc58e304131 bp 0x7ffd54787b00 sp 0x7ffd54787af8
WRITE of size 4 at 0x7fc55a02a3fc thread T0
    #0 0x7fc58e304130 in cv::QRDetectMulti::checkSets(std::vector<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > >, std::allocator<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > > > >&, std::vector<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > >, std::allocator<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > > > >&, std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > >&) /home/fanta/source/opencv/modules/objdetect/src/qrcode.cpp:3726
    #1 0x7fc58e3054b0 in cv::QRDetectMulti::localization() /home/fanta/source/opencv/modules/objdetect/src/qrcode.cpp:3829
    #2 0x7fc58e308020 in cv::ImplContour::detectMulti(cv::_InputArray const&, cv::_OutputArray const&) const /home/fanta/source/opencv/modules/objdetect/src/qrcode.cpp:3987
    #3 0x7fc58e30b5b1 in cv::ImplContour::detectAndDecodeMulti(cv::_InputArray const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, cv::_OutputArray const&, cv::_OutputArray const&) const /home/fanta/source/opencv/modules/objdetect/src/qrcode.cpp:4176
    #4 0x7fc58e28922f in cv::GraphicalCodeDetector::detectAndDecodeMulti(cv::_InputArray const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, cv::_OutputArray const&, cv::_OutputArray const&) const /home/fanta/source/opencv/modules/objdetect/src/graphical_code_detector.cpp:42
    #5 0x5954e8 in Body /home/fanta/source/opencv/modules/objdetect/test/test_qrcode.cpp:48
    #6 0x594fc0 in TestBody /home/fanta/source/opencv/modules/objdetect/test/test_qrcode.cpp:42
    #7 0x67ee6a in void testing::internal::HandleSehExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:3919
    #8 0x6734a4 in void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:3955
    #9 0x641fe8 in testing::Test::Run() /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:3993
    #10 0x6431ac in testing::TestInfo::Run() /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:4169
    #11 0x643d15 in testing::TestCase::Run() /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:4287
    #12 0x659ff3 in testing::internal::UnitTestImpl::RunAllTests() /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:6662
    #13 0x681205 in bool testing::internal::HandleSehExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:3919
    #14 0x675127 in bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:3955
    #15 0x65734c in testing::UnitTest::Run() /home/fanta/source/opencv/modules/ts/src/ts_gtest.cpp:6271
    #16 0x5907f0 in RUN_ALL_TESTS() /home/fanta/source/opencv/modules/ts/include/opencv2/ts/ts_gtest.h:22240
    #17 0x590cdd in main (/home/fanta/source/opencv-build-4.x-clang/bin/opencv_test_objdetect+0x590cdd) (BuildId: a9363fc788d57c48225fc0559ac9199d07d415db)
    #18 0x7fc58ab242ad in __libc_start_call_main (/lib64/libc.so.6+0x2a2ad) (BuildId: 03f1631dc9760d3e30311fe62e15cc4baaa89db7)
    #19 0x7fc58ab24378 in __libc_start_main@@GLIBC_2.34 (/lib64/libc.so.6+0x2a378) (BuildId: 03f1631dc9760d3e30311fe62e15cc4baaa89db7)
    #20 0x417014 in _start ../sysdeps/x86_64/start.S:115

0x7fc55a02a3fc is located 0 bytes after 2938510332-byte region [0x7fc4aadc8800,0x7fc55a02a3fc)
allocated by thread T0 here:
    #0 0x7fc58e590298 in operator new(unsigned long) (/lib64/libasan.so.8+0xfd298) (BuildId: da72ee674d801ced58193987786b90646d94ff8d)
    #1 0x7fc58e34d010 in std::__new_allocator<cv::Vec<int, 3> >::allocate(unsigned long, void const*) /usr/include/c++/14/bits/new_allocator.h:151

SUMMARY: AddressSanitizer: heap-buffer-overflow /home/fanta/source/opencv/modules/objdetect/src/qrcode.cpp:3726 in cv::QRDetectMulti::checkSets(std::vector<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > >, std::allocator<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > > > >&, std::vector<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > >, std::allocator<std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > > > >&, std::vector<cv::Point_<float>, std::allocator<cv::Point_<float> > >&)

Shadow bytes around the buggy address:
  0x7fc55a02a100: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x7fc55a02a180: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x7fc55a02a200: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x7fc55a02a280: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x7fc55a02a300: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
=>0x7fc55a02a380: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00[04]
  0x7fc55a02a400: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x7fc55a02a480: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x7fc55a02a500: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x7fc55a02a580: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x7fc55a02a600: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
Shadow byte legend (one shadow byte represents 8 application bytes):
  Addressable:           00
  Partially addressable: 01 02 03 04 05 06 07
  Heap left redzone:       fa
  Freed heap region:       fd
  Stack left redzone:      f1
  Stack mid redzone:       f2
  Stack right redzone:     f3
  Stack after return:      f5
  Stack use after scope:   f8
  Global redzone:          f9
  Global init order:       f6
  Poisoned by user:        f7
  Container overflow:      fc
  Array cookie:            ac
  Intra object redzone:    bb
  ASan internal:           fe
  Left alloca redzone:     ca
  Right alloca redzone:    cb
==41401==ABORTING
```

`(true_points_group[i].size()` is 1794 and `(true_points_group[i].size() - 2 ) * (true_points_group[i].size() - 1) * true_points_group[i].size())` is 5764222464 which overflows `int`

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-23 11:36:39 +03:00
alexlyulkov aa52dafc90 Merge pull request #26127 from alexlyulkov:al/blob-from-images
Faster implementation of blobFromImages for cpu nchw output #26127

Faster implementation of blobFromImage and blobFromImages for
HWC cv::Mat images -> NCHW cv::Mat
case

Running time on my pc in ms:

**blobFromImage**
```
image size            old        new   speed-up
32x32x3             0.008      0.002       4.0x
64x64x3             0.021      0.009       2.3x
128x128x3           0.164      0.037       4.4x
256x256x3           0.728      0.158       4.6x
512x512x3           3.310      0.628       5.2x
1024x1024x3        14.503      3.124       4.6x
2048x2048x3        61.647     28.049       2.2x
```

**blobFromImages**
```
image size            old        new   speed-up
16x32x32x3          0.122      0.041       3.0x
16x64x64x3          0.790      0.165       4.8x
16x128x128x3        3.313      0.652       5.1x
16x256x256x3       13.495      3.127       4.3x
16x512x512x3       58.795     28.127       2.1x
16x1024x1024x3    251.135    121.955       2.1x
16x2048x2048x3   1023.570    487.188       2.1x
```


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-12-23 10:04:34 +03:00
Letu Ren f1a775825f Use universal intrinsics in bayer2Gray 2024-12-21 23:29:39 +08:00
Suleyman TURKMEN d9a139f9e8 Merge pull request #25608 from sturkmen72:animated_webp_support
Animated WebP Support #25608

related issues #24855 #22569 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-20 13:06:28 +03:00
alex-urm 0903061589 Merge pull request #25500 from alex-urm:v4l_default_image_size
V4l default image size #25500

Added ability to set default image width and height for V4L capture.  This is required for cameras that does not support 640x480 resolution because otherwise V4L capture cannot be opened and failed with "Pixel format of incoming image is unsupported by OpenCV" and then with "can't open camera by index" message. Because of the videoio architecture it is not possible to insert actions between CvCaptureCAM_V4L::CvCaptureCAM_V4L and CvCaptureCAM_V4L::open so the only way I found is to use environment variables to preselect the resolution.

Related bug report is [#25499](https://github.com/opencv/opencv/issues/25499)
Maybe (but not confirmed) this is also related to [#24551](https://github.com/opencv/opencv/issues/24551)

This fix was made and verified in my local environment: capture board AVMATRIX VC42, Ubuntu 20, NVidia Jetson Orin.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-20 11:00:30 +03:00
Alexander Smorkalov f3d9d56ebe Merge pull request #26625 from NekoAsakura:4.x
Cocoa/highgui: fix leak in cvGetWindowRect_COCOA
2024-12-20 09:03:33 +03:00
Alexander Smorkalov 8ffc4a6bd5 Merge pull request #26652 from mshabunin:fix-ffmpeg-plugin
videoio: fixed writer setProperty with FFmpeg plugin
2024-12-20 08:31:13 +03:00
Maksim Shabunin b53fa94745 videoio: fixed writer setProperty with FFmpeg plugin 2024-12-19 22:04:24 +03:00
Alexander Smorkalov 6a0affdbce Merge pull request #26147 from vrabaud:opencv_js
js: fix enum generation issues
2024-12-19 17:35:16 +03:00
Alexander Smorkalov 3073ba28cc Merge pull request #26644 from vrabaud:opencv_js2
js: Fix C preprocessor stringification
2024-12-19 17:05:50 +03:00
Alexander Smorkalov 5baca5275e Merge pull request #26633 from asmorkalov:as/optional_python_types
Made some pre-defined Python types optional to disable modules
2024-12-19 15:10:08 +03:00
quic-apreetam d037b40faa Merge pull request #26621 from CodeLinaro:apreetam_2ndPost
FastCV-based HAL for OpenCV acceleration 2ndpost-3 #26621

### Detailed description:

- Add cv_hal_canny for Canny API

Requires binary from [opencv/opencv_3rdparty#90](https://github.com/opencv/opencv_3rdparty/pull/90) 
Depends on: [opencv/opencv#26617](https://github.com/opencv/opencv/pull/26617)
Depends on: [opencv/opencv#26619](https://github.com/opencv/opencv/pull/26619) 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-19 13:31:26 +03:00
Suleyman TURKMEN 60d35d1bd5 Merge pull request #26511 from sturkmen72:proposed_fix_for_21902
* add alternative flags to cv::seamlessClone

* Update photo.hpp

* Update seamless_cloning.cpp

* Update seamless_cloning_impl.cpp
2024-12-19 11:57:58 +03:00
Alexander Smorkalov cdad0b7027 Merge pull request #26082 from mshabunin:fix-hal-cvt-functions
imgproc: restore multiplanar conversion functions in cv::hal namespace
2024-12-19 11:56:04 +03:00
Alexander Smorkalov ebf3c400d2 Merge pull request #26387 from sturkmen72:js-imgproc
Add some functions to OpenCV JS API
2024-12-19 09:45:23 +03:00
adsha-quic 59f762b2f0 Merge pull request #26619 from CodeLinaro:adsha_2ndPost
FastCV-based HAL for OpenCV acceleration 2ndpost-2 #26619

### Detailed description:

- Add support for multiply 8u, 16s and 32f
- Add support for cv_hal_pyrdown 8u
- Add support for cv_hal_cvtBGRtoHSV and cv_hal_cvtBGRtoYUVApprox 8u

Requires binary from [opencv/opencv_3rdparty#90](https://github.com/opencv/opencv_3rdparty/pull/90)
Depends on: [opencv/opencv#26617](https://github.com/opencv/opencv/pull/26617)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-19 08:28:24 +03:00
Alexander Smorkalov 537a2566cf Merge pull request #26643 from vrabaud:js_clone_fix
js: Rename Mat::clone binding because it is used in Emscripten.
2024-12-19 08:20:07 +03:00
Maxim Smolskiy 9f64f021de Merge pull request #26637 from MaximSmolskiy:fix-VideoCapture-fails-to-read-single-image-with-digits-in-name
Fix VideoCapture fails to read single image with digits in name #26637

### Pull Request Readiness Checklist

Fix #26457 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-19 08:17:05 +03:00
Alexander Smorkalov e747ed11cb Merge pull request #26645 from FantasqueX:fix-typo-3
fix typo
2024-12-19 08:13:07 +03:00
Alexander Smorkalov 5cd448377a Merge pull request #26638 from vrabaud:opencv_js1
js: add types included in bound APIs
2024-12-19 08:11:54 +03:00
Vincent Rabaud 79d019b4f1 Merge pull request #26640 from vrabaud:opencv_js3
js: fix generation of "const const" in code #26640

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-19 07:59:01 +03:00
Letu Ren 428d93114f fix typo 2024-12-19 10:59:17 +08:00
Vincent Rabaud 914a83fa0c Fix enum generation issues. 2024-12-18 22:20:05 +01:00
Vincent Rabaud a628417f2a Fix C preprocessor stringification 2024-12-18 22:17:08 +01:00
Vincent Rabaud 773bd1a90a Rename Mat::clone binding because it is used in Emscripten.
This is in emscripten 3.1.71 and above, cf
https://github.com/emscripten-core/emscripten/pull/22734
There was a temptative fix upstream to no avail:
https://github.com/emscripten-core/emscripten/pull/23132
2024-12-18 21:52:21 +01:00
Liutong HAN 3fbaad36d7 Merge pull request #26624 from hanliutong:rvv-mean
Add RISC-V HAL implementation for meanStdDev #26624

`meanStdDev` benefits from the Universal Intrinsic backend of RVV, but we also found that the performance on the `8UC4` type is worse than the scalar version when there is a mask, and there is no optimization implementation on `32FC1`.

This patch implements `meanStdDev` function in RVV_HAL using native intrinsic, significantly optimizing the performance for `8UC1`, `8UC4` and `32FC1`.

This patch is tested on BPI-F3 for both gcc 14.2 and clang 19.1.
```
$ opencv_test_core --gtest_filter="*MeanStdDev*"
$ opencv_perf_core --gtest_filter="Size_MatType_meanStdDev*
```

![1734077611879](https://github.com/user-attachments/assets/71c85c9d-1db1-470d-81d1-bf546e27ad86)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-18 22:19:02 +03:00
Alexander Smorkalov 7c0c9e1e55 Merge pull request #26639 from vrabaud:opencv_js2
js: fix helper.js to not trigger warnings
2024-12-18 18:49:25 +03:00
Vincent Rabaud 874e57512e js: fix helper.js to not trigger warnings 2024-12-18 11:49:08 +01:00
Vincent Rabaud 1fe9dd0c3b js: add types included in bound APIs
This fixes #25239
2024-12-18 11:43:39 +01:00
Rüdiger Ihle d369cf6d50 Merge pull request #26627 from warped-rudi:torch
Android camera feature enhancements #26627

Closes https://github.com/opencv/opencv/issues/24687

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-18 12:16:50 +03:00
quic-xuezha 1c28a98b34 Merge pull request #26617 from CodeLinaro:xuezha_2ndPost
FastCV-based HAL for OpenCV acceleration 2ndpost-1 #26617

### Detailed description:

- Add parallel support for cv_hal_sobel
- Add cv_hal_gaussianBlurBinomial and parallel support.
- Add cv_hal_addWeighted8u and parallel support
- Add cv_hal_warpPerspective and parallel support

Requires binary from [opencv/opencv_3rdparty#90](https://github.com/opencv/opencv_3rdparty/pull/90)
Related patch to opencv_contrib: [opencv/opencv_contrib#3844](https://github.com/opencv/opencv_contrib/pull/3844)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-18 09:34:13 +03:00
Alexander Smorkalov 23f6a9ee3e Merge pull request #26636 from FantasqueX:fix-re-warning-2
Fix Syntax warning in ts summary.py
2024-12-18 08:54:58 +03:00
Letu Ren 3899a060a3 Fix Syntax warning in ts summary.py 2024-12-18 05:27:10 +08:00
Alexander Smorkalov 7ddc02907e Merge pull request #26634 from FantasqueX:fix-test-exif-1
Fix test_exif compilation when none of JPEG, PNG, AVIF is enabled
2024-12-17 22:36:42 +03:00
Pierre Chatelier d77abeddd0 Merge pull request #26472 from chacha21:gpumatnd_step
More convenient GpuMatND constructor #26472

Closes #26471

For convenience, GpuMatND can now accept a step.size() equal to size.size(), as long as the last step is equal to elemSize()

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-17 17:26:14 +03:00
Letu Ren 59b9681af6 Remove useless -Wno-long-long option
According to GCC doc, -Wlong-long: Warn if long long type is used.
This is enabled by either -Wpedantic or -Wtraditional in ISO C90
and C++98 modes. To inhibit the warning messages, use -Wno-long-long.

OpenCV 4.x requires C++11. As result, this option is useless.

Ref: https://gcc.gnu.org/onlinedocs/gcc/Warning-Options.html
2024-12-17 21:51:35 +08:00
Letu Ren 2e21e11318 Fix test_exif compilation when non of JPEG, PNG, AVIF is enabled
When none of JPEG, PNG, AVIF is enabled, exif_files is a zero-length
array, which is prohibited by C++ reference.
2024-12-17 21:41:45 +08:00
Vincent Rabaud e0001903ce Merge pull request #26490 from vrabaud:4x_calibration_base
Switch calibration.cpp to C++ #26490

The CvLevMarq code has to be kept in order to keep the same accuracy (the C++ solver is not as good).

There are two ways to review this PR: by comparing to the old code, or by checking what is different from the 5.x version (which is the first commit).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-12-17 16:36:14 +03:00
Alexander Smorkalov a8f4019932 Made some pre-defined Python types optional to disable modules 2024-12-17 15:54:06 +03:00
Neko Asakura dbb330d7be Cocoa/highgui: fix leak in cvGetWindowRect_COCOA 2024-12-17 22:31:37 +10:00
Alexander Smorkalov 0ca98d437b Merge pull request #26632 from fengyuentau:dnn/gelu_cann
dnn: Fix CANN build
2024-12-17 15:09:33 +03:00
Yuantao Feng 51ec7fedaf fix build 2024-12-17 10:17:15 +00:00
Kumataro 260f511dfb Merge pull request #26590 from Kumataro:fix26589
Support C++20 standard #26590

Close https://github.com/opencv/opencv/issues/26589
Related https://github.com/opencv/opencv_contrib/pull/3842
Related: https://github.com/opencv/opencv/issues/20269

- do not arithmetic enums and ( different enums or floating numeric) 
- remove unused variable

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-12-17 07:40:27 +03:00
Alexander Smorkalov 1a1b1901e8 Merge pull request #26623 from asmorkalov:as/kelidicv_0.3
Update KleidiCV to version 0.3
2024-12-16 16:58:51 +03:00
Alexander Smorkalov a4c8d318e6 Update KleidiCV to version 0.3. 2024-12-16 15:32:44 +03:00
Alexander Smorkalov 03f90aaf85 Merge pull request #26614 from KangJialiang:fix-multi-channel-mean-scale-sample-dnn-yolo
Fix normalization parameters in YOLO example to support multi-channel mean and scale factors
2024-12-16 15:29:43 +03:00
Alexander Smorkalov 71581d9c97 Merge pull request #26618 from KangJialiang:fix/yoloPostProcessing-variable-nc
Fix yoloPostProcessing to handle variable number of classes (nc)
2024-12-14 20:59:45 +03:00
KangJialiang 25fe85bbbb Fix yoloPostProcessing` to handle variable number of classes (nc)
Previously, the yoloPostProcessing function assumed that the number of classes (nc) was fixed at 80. This caused incorrect behavior when a different number of classes was specified, leading to mismatched output shapes.

This update modifies the code to use the provided `nc` value dynamically, ensuring that the output shapes are correctly calculated based on the specified number of classes. This prevents issues when `nc` is not equal to 80 and allows for greater flexibility in model configurations.
2024-12-12 15:41:14 +08:00
KangJialiang 42be822c1d Fix normalization parameters in YOLO example to support multi-channel mean and scale factors
This branch and commit address an issue in the YOLO example (samples/dnn/yolo_detector.cpp) where the mean and scale parameters only affected the first channel (B) due to single-value input. The modification updates these parameters to accept multi-channel values, ensuring consistent preprocessing across all image channels.
2024-12-11 20:16:21 +08:00
Maksim Shabunin 1d4110884b Revert "CI: enable AVX2 build" (#26610) 2024-12-10 17:23:13 +03:00
Alexander Smorkalov dc8a9d5d3d Merge pull request #26604 from mshabunin:add-avx2-build
CI: enable AVX2 build
2024-12-10 12:11:08 +03:00
Maksim Shabunin 5ef062343c CI: enable AVX2 build 2024-12-10 11:35:56 +03:00
anandkaranubc d85c13bcbb Merge pull request #26587 from anandkaranubc:fix-nu-svc-parameter-check
Fix #25812: Add error handling for invalid nu parameter in SVM NU_SVC #26587

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work [Issue #25812](https://github.com/opencv/opencv/issues/25812)
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-10 09:21:25 +03:00
Alexander Smorkalov 0dfc5d416f Merge pull request #26598 from mshabunin:fix-doc-footer
doc: upgraded for compatibility with doxygen 1.12
2024-12-10 09:19:02 +03:00
Maksim Shabunin 4ade7931e1 doc: upgraded for compatibility with doxygen 1.12 2024-12-09 23:08:18 +03:00
Alexander Smorkalov 0a2669daba Merge pull request #26596 from y-guyon:4.x_absl_str
Support string_view in caffe_importer
2024-12-09 18:03:38 +03:00
MurtazaSaherwala 3a8d7ec75a Merge pull request #26524 from MurtazaSaherwala:DocumentationUpdation
Updated trackbar callback function and improved documentation #26524

This Fixes #26467

Description:
This pull request improve the OpenCV documentation regarding the Trackbar functionality. The current documentation does not provide clear guidance on certain aspects, such as handling the value pointer deprecation and utilizing callback arguments in C. This update addresses those gaps and provides an updated example for better clarity.

Changes:
Updated Documentation:

Clarified the usage of the value pointer and explained how to pass an initial value, since the value pointer is deprecated.
Added more detailed explanations about callback arguments in C, ensuring that users understand how to access and use them in Trackbar callbacks.
Added a note on how to properly handle initial value passing without relying on the deprecated value pointer.
Updated Tutorial Example:

Renamed and used callback function parameters to make them more understandable.
Included a demonstration on how to utilize userdata in the callback function.
Additional Notes:

Removed reliance on the value pointer for updating trackbar values. Users are now encouraged to use other mechanisms as per the current implementation to avoid the runtime warning.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [] The feature is well documented and sample code can be built with the project CMake
2024-12-09 16:23:07 +03:00
dai-xin f825b4d1ab Resolve the issue of slow camera opening when using dshow as the backend for VideoCapture. 2024-12-09 17:55:46 +08:00
Yannis Guyon 1db93911ae Support string_view in caffe_importer
An upcoming change in Protobuf will change the return types of various
methods like Descriptor::name() and Message::GetTypeName() from const
std::string& or std::string to absl::string_view. This CL fixes users
of those methods to work both before and after the change.
2024-12-09 10:24:01 +01:00
Alexander Smorkalov 1f2e7adb4b Merge pull request #26591 from shyama7004:fix-typos
Fix typo: renamed 'search_widow_size' to 'search_window_size'
2024-12-09 11:03:49 +03:00
shyama7004 acdb707ba4 Fix typo: rename 'search_widow_size' to 'search_window_size' 2024-12-08 13:41:48 +05:30
Super 082cd7a74e Merge pull request #25691 from redhecker:gifSupport
[GSoC] Add GIF decode and encode for imgcodecs #25691

this is related to #24855 

we add  gif support for `imread`, `imreadmulti`, `imwrite` and `imwritemulti`

opencv_extra: https://github.com/opencv/opencv_extra/pull/1203

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-07 10:17:41 +03:00
Alexander Smorkalov 7fbf3c1fec Merge pull request #26579 from FantasqueX:fix-re-warning-1
Fix python re warning
2024-12-06 19:24:05 +03:00
Letu Ren ed9d64c9d3 Fix python re warning in gen_objc 2024-12-06 19:54:23 +08:00
Alexander Smorkalov 646e87c728 Merge pull request #26580 from opencv-pushbot:gitee/alalek/videoio_test_filter_unstable_gstreamer
videoio(test): filter unstable GStreamer tests
2024-12-06 14:37:14 +03:00
Alexander Alekhin 7edfb57f5a videoio(test): filter unstable GStreamer tests
- observed on Ubuntu 24.04
2024-12-06 08:12:36 +00:00
Skreg 3d91d75f1a Merge pull request #26564 from shyama7004:improve-macos-install-docs
Improvement of macOS installation guide in documentation #26564

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-06 08:55:41 +03:00
Amir Hassan 23fcea0d33 Merge pull request #26563 from kallaballa:wayland_and_xkbcommon_missing_include_dirs
Missing include directories needed for wayland-util and xkbcommon #26563

See: #26561

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-04 17:20:15 +03:00
Alexander Smorkalov 03cedee0b0 Merge pull request #26547 from mshabunin:fix-type-cast
Fixed several cases of unaligned pointer cast
2024-12-03 11:08:45 +03:00
Alexander Smorkalov 8897002fcc Merge pull request #26560 from savuor:rv/perf_box_5x5
Perf tests for cv::boxFilter(): 5x5 added
2024-12-03 07:40:35 +03:00
Rostislav Vasilikhin 31d04f8fd9 5x5 added for boxfilter perf tests 2024-12-02 16:46:37 +01:00
Maksim Shabunin c58b6bf11f Fixed several cases of unaligned pointer cast 2024-12-02 16:15:23 +03:00
Alexander Smorkalov 89c19f1f1a Merge pull request #26557 from mshabunin/fix-doc-1.12
doc: fixed issue with doxygen 1.12
2024-12-02 13:44:42 +03:00
Maksim Shabunin f4db63ca71 doc: fixed issue with doxygen 1.12 2024-12-02 12:08:59 +03:00
Alexander Smorkalov 5f1b05af0e Merge pull request #26556 from asmorkalov:FastcvHAL_1stPost
Added Fastcv HAL changes in the 3rdparty folder.
Code Changes includes HAL code , Fastcv libs and Headers

Change-Id: I2f0ddb1f57515c82ae86ba8c2a82965b1a9626ec

Requires binaries from https://github.com/opencv/opencv_3rdparty/pull/86.
Related patch to opencv_contrib: https://github.com/opencv/opencv_contrib/pull/3811

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-12-02 10:50:38 +03:00
Suleyman TURKMEN 6eaa77461e add some functions and tests
applyColorMap
approxPolyN
arrowedLine
blendLinear
boxPoints
clipLine
convertMaps
createHanningWindow
divSpectrums
drawMarker
findContoursLinkRuns
fitEllipseAMS
fitEllipseDirect
getFontScaleFromHeight
getRectSubPix
HuMoments
intersectConvexConvex
invertAffineTransform
minEnclosingTriangle
preCornerDetect
rotatedRectangleIntersection
sqrBoxFilter
spatialGradient
stackBlur
2024-12-01 23:17:35 +03:00
Alexander Smorkalov 96dab6ba71 Merge pull request #26532 from mshabunin:fix-qr-bitstream
objdetect: fix invalid vector access in QR de/encoder
2024-11-29 17:55:13 +03:00
Maksim Shabunin e953fcfaa4 objdetect: fix invalid vector access in QR encoder 2024-11-29 14:40:53 +03:00
Alexander Smorkalov bef3585245 Merge pull request #26513 from sturkmen72:fix_for_26264
Fix for issue 26264
2024-11-29 14:26:29 +03:00
Philip Lamb a5f8711ce1 Merge pull request #26537 from artoolkitx:emscripten-build-fixes
Emscripten build fixes #26537

- Corrects typo in Emscripten-only intrinsics header (Fixes https://github.com/opencv/opencv/issues/26536)
- Updates deprecated intrinsic title (as per LLVM final intrinsic name).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-11-28 09:25:01 +03:00
Alexander Smorkalov a27d749471 Merge pull request #26516 from asmorkalov:as/pano_component_wrap
Document some stitching methods and enable bindings for them.
2024-11-28 08:19:55 +03:00
Alexander Smorkalov fb0a40ded4 Merge pull request #26544 from savuor:rv/perf_rotate_8uc2
Perf test for rotate(): CV_8UC2 added
2024-11-28 08:18:08 +03:00
Rostislav Vasilikhin bf914a7681 8uc2 added 2024-11-28 01:59:18 +01:00
Alexander Smorkalov c8c64f69dd Merge pull request #26533 from mshabunin:fix-reduce-test
test: fix technical issue with min_element in reduce tests
2024-11-27 09:08:01 +03:00
Alexander Smorkalov 68941ef8e7 Merge pull request #26530 from mshabunin:fix-usac-vector-access
calib3d: fix vector access in USAC
2024-11-26 22:15:05 +03:00
Maksim Shabunin 55b4c2ac59 test: fix technical issue with min_element in reduce tests 2024-11-26 21:55:41 +03:00
Alexander Smorkalov fb422a62d2 Merge pull request #26529 from asmorkalov:as/include_chrono
Fixed missing include chrono in g-api tests
2024-11-26 19:11:41 +03:00
Maksim Shabunin 82c45dde5b calib3d: fix vector access in USAC 2024-11-26 16:15:51 +03:00
Alexander Smorkalov 0b01712dd3 Fixed missing include chrono in g-api tests. 2024-11-26 15:22:57 +03:00
Suleyman TURKMEN b385767c1c Update drawing.cpp and test_contours.cpp 2024-11-25 20:35:20 +03:00
Alexander Smorkalov 65d4112fa5 Merge pull request #26512 from sturkmen72:fix_build_js_warnings
Fix for build_js warnings
2024-11-25 16:05:53 +03:00
Alexander Smorkalov 905cc45f85 Document some stitching methods and enable bindings for them. 2024-11-25 14:03:49 +03:00
Alexander Smorkalov 7095cb6904 Merge pull request #26510 from Kumataro:fix26509
doc: fix to supported depth for TIFF
2024-11-25 10:09:52 +03:00
Kumataro 5080be6669 doc: fix to supported depth for TIFF 2024-11-24 15:03:58 +09:00
Suleyman TURKMEN 1358af180c fix build_js warnings 2024-11-24 04:24:44 +03:00
Alexander Smorkalov 7be5181bff Merge pull request #26501 from asmorkalov:as/external_kleidicv
Fixed KLEIDICV_SOURCE_PATH handling for external KleidiCV
2024-11-21 18:45:14 +03:00
Alexander Smorkalov c3ca3f4f00 Fixed KLEIDICV_SOURCE_PATH handling for extenral KleidiCV. 2024-11-21 11:50:25 +03:00
Rostislav Vasilikhin 64d3111377 Merge pull request #26459 from savuor:rv/hal_absdiff_scalar
HAL added for absdiff(array, scalar) + related fixes #26459

### This PR changes
* HAL for `absdiff` when one of arguments is a scalar, including multichannel arrays and scalars
* several channels support for HAL `addScalar`
* proper data type check for `addScalar` when one of arguments is a scalar

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-11-19 10:35:49 +03:00
Alexander Smorkalov 64273c8a5b Merge pull request #26461 from vrabaud:4x_calibration_base
Remove internal calib3d_c_api.h
2024-11-19 09:45:10 +03:00
Ola Olsson b56f338c8b Make undistortImagePoints default criteria undistortPoints consistent 2024-11-18 13:46:30 +01:00
Alexander Smorkalov 1b0d58a554 Merge pull request #26468 from savuor:rv/warp_perspective_test_border
warpPerspective test: borderType argument fixed
2024-11-18 11:41:18 +03:00
Alexander Smorkalov 474028ea87 Merge pull request #26478 from xkszltl:exr_ver
Check existence of OpenEXR version macros before using.
2024-11-18 11:03:34 +03:00
xkszltl d0c8b36de8 Check existence of OpenEXR version macros before using.
It is introduced in 2.0.1 (not even in 2.0.0) and some old system like CentOS 7 still has 1.7 in stock.
- https://github.com/AcademySoftwareFoundation/openexr/commit/60cdff8a6f5c4e25a374e5f366d6e9b4efd869b3#diff-c4bae0726aebe410e407db9abd406d9cf2684f82dd8a08f46d84e8b7c35cf22aR67
2024-11-17 18:37:13 -08:00
Rostislav Vasilikhin 21cb138be8 warpPerspective border type test 2024-11-15 19:28:16 +01:00
Vincent Rabaud 8c6339c04d Remove internal calib3d_c_api.h
The new C++ code is copy/pasted from OpenCV5:
- functions initIntrinsicParams2D, subMatrix (the first 160 lines)
- function prepareDistCoeffs
- the different asserts

Not all the API/code is ported to C++ yet to ease the review.
2024-11-15 09:31:30 +01:00
Alexander Smorkalov 4866811933 Merge pull request #26155 from mshabunin:dnn-dispatch
dnn: use dispatching for Winograd optimizations
2024-11-14 21:28:42 +03:00
Alexander Smorkalov 3dace76c3f Merge pull request #26462 from mshabunin:cleanup-flann-hdf5
flann: remove unused hdf5 header
2024-11-14 21:21:27 +03:00
Maksim Shabunin b7e609d5e8 flann: remove unused hdf5 header 2024-11-14 19:44:10 +03:00
Alexander Smorkalov e5a8e2ac79 Merge pull request #26460 from asmorkalov:as/core_c_removal_packport
Backport some of C API removal in core module implementation.
2024-11-14 18:55:53 +03:00
Alexander Smorkalov 1ff16cb551 Backport some of C API removal in core module implementation. 2024-11-14 11:24:00 +03:00
Alexander Smorkalov e1d66643b3 Merge pull request #26303 from asmorkalov:as/kleidicv_offline
Skip KleidiCV in offline build
2024-11-13 20:05:13 +03:00
Alexander Smorkalov 11a4a06fa4 Merge pull request #26181 from sturkmen72:png_exif_test
Enable PNG exif orientation test
2024-11-13 16:57:18 +03:00
Alexander Smorkalov 1a775198ce Skip KleidiCV in offline build. 2024-11-13 15:13:19 +03:00
Rostislav Vasilikhin 67f07b16cb Merge pull request #25624 from savuor:rv/hal_addscalar
HAL added for add(array, scalar) #25624

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-11-13 08:33:19 +03:00
Alexander Smorkalov 8fe70a1877 Merge pull request #26452 from BillyONeal:add-windows-sdk-note
Add note for people debugging DirectML detection failures to check their Windows SDK version.
2024-11-13 08:27:57 +03:00
Billy Robert O'Neal III 5f95827a5f Add note for people debugging DirectML detection failures to check their Windows SDK version.
DirectML was first included with 10.0.18362.0, but dxcore.lib necessary to make the check pass was first in 10.0.19041.0.
2024-11-12 11:57:39 -08:00
Alexander Smorkalov ff639d11d4 Merge pull request #26451 from savuor:rv/fix_get_handle
Build fix for opencl_core.cpp
2024-11-12 20:50:48 +03:00
Rostislav Vasilikhin 641f43dd48 build fix 2024-11-12 17:04:42 +01:00
Dmitry Kurtaev c230841105 Merge pull request #26446 from dkurt:file_storage_empty_and_1d_mat
* Change style of empty and 1d Mat in FileStorage

* Remove misleading 1d Mat test
2024-11-12 17:51:10 +03:00
Dmitry Kurtaev 37c2af63f0 Merge pull request #26434 from dkurt:dk/int64_file_storage_4.x
int64 data type support for FileStorage. 1d and empty Mat with exact dimensions #26434

### Pull Request Readiness Checklist

Port of https://github.com/opencv/opencv/pull/26399 to 4.x branch

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-11-11 14:13:33 +03:00
Vincent Rabaud 6f8c3b13d8 Merge pull request #26437 from vrabaud:4x_calibration_base
Backport C++ stereo/stereo_geom.cpp:5.x to calib3d/stereo_geom.cpp:4.x #26437

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-11-11 10:22:56 +03:00
Alexander Smorkalov 3fddea2ade Merge pull request #26435 from vrabaud:4x_calibration_base
Remove unused internal C functions
2024-11-08 14:43:30 +03:00
Vincent Rabaud 3d89824423 Remove unused internal C functions 2024-11-08 10:27:02 +01:00
Vincent Rabaud 6873bdee70 backport C++ 3d/calibration_base.cpp:5.x to calib3d/calibration_base.cpp:4.x (#26414)
* Add vanilla calibration_base from 5.x

This is from 55105719dd

* Have the C implementation use the new C++ one.
2024-11-08 11:56:49 +03:00
Maksim Shabunin 9d64e2959f dnn: use dispatcher for Winograd 2024-11-07 10:51:16 +03:00
Alexander Smorkalov 5817b562b3 Merge pull request #26364 from plctlab:rvp_pt2
3rdparty: NDSRVP - Part 2.1: Filter-Related Functions
2024-11-05 18:53:00 +03:00
Alexander Smorkalov c287423b33 Merge pull request #26331 from mshabunin:fix-unified-getenv
build: made environment access a separate feature
2024-11-05 11:03:11 +03:00
Alexander Smorkalov c3747a6847 Merge pull request #26402 from asmorkalov:as/win_uwp_ci
Added Universal Windows Package build to CI.
2024-11-02 13:05:05 +03:00
Alexander Smorkalov 9b635da563 Added Universal Windows Package build to CI. 2024-11-02 12:20:13 +03:00
Alexander Smorkalov ee95bfe244 Merge pull request #26203 from FantasqueX:generic-simd-warpAffineBlocklineNN
Use generic SIMD in warpAffineBlocklineNN
2024-11-01 11:16:51 +03:00
Alexander Smorkalov ddc03c0769 Merge pull request #26390 from asmorkalov:as/kleidicv_no_sme2
Disable SME2 branches in KleidiCV as it's incompatible with some CLang versions, e.g. NDK 28b1
2024-10-31 14:09:24 +03:00
Alexander Smorkalov cf87380fad Disable SME2 branches in KleidiCV as it's incompatible with some CLang versions, e.g. NDK 28b1. 2024-10-31 08:14:30 +03:00
Alexander Smorkalov 725ce48837 Merge pull request #26388 from vrabaud:4_8u
Fix test typo.
2024-10-31 07:58:24 +03:00
Maksim Shabunin 04818d6dd5 build: made environment access a separate feature 2024-10-30 18:37:22 +03:00
Vincent Rabaud 265a2c39b2 Fix test typo. 2024-10-30 15:05:30 +01:00
Alexander Smorkalov 2756c20e3e Merge pull request #26384 from mshabunin:fix-winrt-warnings-2
WinRT/UWP build: fix more warnings in media part
2024-10-30 16:04:32 +03:00
Maksim Shabunin 7654d06b83 WinRT/UWP build: fix more warnings in media part 2024-10-29 19:19:09 +03:00
Alexander Smorkalov 41489f983d Merge pull request #26381 from dkurt:dk/hotfix_dnn_debug
Hotfix ie_ngraph.cpp in Debug
2024-10-29 12:33:08 +03:00
Dmitry Kurtaev 0e80a97f87 Hotfix ie_ngraph.cpp in Debug 2024-10-29 10:20:51 +03:00
Oちゃん 8791cd147c Merge pull request #26374 from OrkWard:fix-js-build-script
Fix incorrect string format in js build script #26374

I accidentally met this small problem mentioned in https://github.com/opencv/opencv/pull/25084#discussion_r1710838120 when play with wasm build. It seems https://github.com/EDVTAZ didn't fix it yet, so I create this tiny pr.

Additionally, I remove a redundant argument in `add_argument` call. `'store_true'` already set the default, see https://docs.python.org/3/library/argparse.html#action.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-10-28 17:07:15 +03:00
Junyan721113 bf7ab8eebd feat: medianBlur & bilateralFilter 2024-10-28 17:54:45 +08:00
Alexander Smorkalov dd08328228 Merge pull request #26368 from hanliutong:rvv-hal-license
Add the missing license header in hal_rvv.
2024-10-26 09:36:07 +03:00
Alexander Smorkalov 24a497acd8 Merge pull request #26370 from mshabunin:fix-winrt-warnings
WinRT/UWP build: fix some specific warnings
2024-10-26 09:34:00 +03:00
Maksim Shabunin 52100328d8 WinRT/UWP build: fix some specific warnings 2024-10-25 22:32:44 +03:00
Maksim Shabunin d6fe289a79 imgproc: restore multiplanar conversion functions in cv::hal namespace 2024-10-25 20:21:33 +03:00
Liutong HAN 515b4a2689 Add the missing license description. 2024-10-25 11:37:07 +00:00
Alexander Smorkalov e4bcd46f64 Merge pull request #26356 from hardikkamboj:4.x
Update py_thresholding.markdown
2024-10-24 12:39:43 +03:00
Liutong HAN 35571be570 Merge pull request #26318 from hanliutong:rvv-intrin-m2
Use LMUL=2 in the RISC-V Vector (RVV) backend of Universal Intrinsic. #26318

The modification of this patch involves the RVV backend of Universal Intrinsic, replacing `LMUL=1` with `LMUL=2`.

Now each Universal Intrinsic type actually corresponds to two RVV vector registers, and each Intrinsic function also operates two vector registers. Considering that algorithms written using Universal Intrinsic usually do not use the maximum number of registers, this can help the RVV backend utilize more register resources without modifying the algorithm implementation

This patch is generally beneficial in performance.

We compiled OpenCV with `Clang-19.1.1` and `GCC-14.2.0` , ran it on `CanMV-k230` and `Banana-Pi F3`. Then we have four scenarios on combinations of compilers and devices. In `opencv_perf_core`, there are 3363 cases, of which:
- 901 (26.8%) cases achieved more than `5%` performance improvement in all four scenarios, and the average speedup of these test cases (compared to scalar) increased from `3.35x` to `4.35x`
- 75 (2.2%) cases had more than `5%` performance loss in all four scenarios, indicating that these cases are better with `LMUL=1` instead of `LMUL=2`. This involves `Mat_Transform`, `hasNonZero`, `KMeans`, `meanStdDev`, `merge` and `norm2`. Among them, `Mat_Transform` only has performance degradation in a few cases (`8UC3`), and the actual execution time of `hasNonZero` is so short that it can be ignored. For `KMeans`, `meanStdDev`, `merge` and `norm2`, we should be able to use the HAL to optimize/restore their performance. (In fact, we have already done this for `merge`  #26216 )

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2024-10-24 10:08:43 +03:00
Alexander Smorkalov 331412dfad Merge pull request #26357 from dkurt:dkurt/ov_out_names_from_graph
OpenVINO friendly output names from non-compiled Model
2024-10-23 13:42:01 +03:00
Dmitry Kurtaev d193554a5f OpenVINO friendly output names from non-compiled Model 2024-10-23 09:29:05 +03:00
Alexander Smorkalov 898a2a3811 Merge pull request #26353 from asmorkalov:as/ade_1.2e
ADE update to 0.1.2e
2024-10-23 08:10:16 +03:00
Hardik Kamboj 9fc7ca8ed1 Update py_thresholding.markdown
Changed "If the pixel value is smaller than the threshold" to "If the pixel value is smaller than or equal to the threshold" to make the line align with the working of the code.
2024-10-23 09:49:23 +05:30
Alexander Smorkalov 983086411f ADE update to 0.1.2e 2024-10-22 17:45:00 +03:00
Alexander Smorkalov 57ccbee25d Merge pull request #26245 from cudawarped:cuda_update_to_npp_stream_ctx
cuda - update npp calls to use the new NppStreamContext API if available
2024-10-22 14:44:42 +03:00
Kumataro 4398e0b62b Merge pull request #26340 from Kumataro:wa26339
doc: fix the position of toggle button #26340 

Close #26339 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-10-22 11:57:14 +03:00
Alexander Smorkalov 94d5ad09ff Merge pull request #26284 from fzuuzf:enum_arithmetic_fixes_for_c++26
C++26 Deprecated Enum Arithmetic Conversion: Fix core/mat.inl.hpp
2024-10-21 15:47:53 +03:00
Alexander Smorkalov e026a5ad8a Merge pull request #26281 from kallaballa:clgl_device_discovery
Rewrote OpenCL-OpenGL-interop device discovery routine without extensions and with Apple support
2024-10-18 15:52:17 +03:00
Alexander Smorkalov c79b72a838 Merge pull request #26335 from migueldaipre:4.x
fix: performance typo
2024-10-18 15:44:32 +03:00
Kumataro 35dbf32227 Merge pull request #26211 from Kumataro:fix26207
imgcodecs: implement imencodemulti() #26211

Close #26207
### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-10-18 14:44:55 +03:00
Miguel Daipré 888469a842 fix: performance typo 2024-10-18 08:37:32 -03:00
Septimiu Neaga 3919f33e21 Merge pull request #26293 from SeptimiuIoachimNeagaIntel:EISW-140103_optimization_flag
G-API: Introduce level optimization flag for ONNXRT backend #26293

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
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2024-10-17 10:22:08 +03:00
FantasqueX 489df18a13 Merge pull request #26313 from FantasqueX:ipp-warp-affine-border-value
Use border value in ipp version of warp affine #26313

### Pull Request Readiness Checklist

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2024-10-17 08:50:30 +03:00
Alexander Smorkalov d20c456ab7 Merge pull request #26320 from mshabunin:fix-cmake-in-list
build: set cmake policy for if(IN_LIST) support
2024-10-17 07:36:02 +03:00
Maksim Shabunin 8ba76e65e9 build: set cmake policy for if(IN_LIST) support 2024-10-16 22:40:47 +03:00
Suleyman TURKMEN 8e5dbc03fe Merge pull request #26298 from sturkmen72:avif
Proposed solution for the issue 26297 #26298

closes #26297

### Pull Request Readiness Checklist

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2024-10-14 11:23:02 +03:00
Alexander Smorkalov 1909ac8650 Merge pull request #26212 from jamacias:feature/TickMeter-lasttime
Enhance cv::TickMeter to be able to get the last elapsed time
2024-10-14 07:56:24 +03:00
Letu Ren 45b9398d68 Use generic SIMD in warpAffineBlocklineNN 2024-10-14 01:28:41 +08:00
Zach Lowry 08f7f13dfa Merge pull request #26234 from zachlowry:apply-gcc6-fix-on-each-directory
Move the gcc6 compatibility check to occur on a per-directory basis, … #26234

Proposed fix for #26233 https://github.com/opencv/opencv/issues/26233

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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2024-10-11 17:00:59 +03:00
kallaballa 3edcf410b6 more guarding 2024-10-11 02:18:14 +02:00
Alexander Smorkalov 0f234209da Merge pull request #26278 from Quantizs:feature-create-face-recognizer-from-buffer
Added buffer-based model loading to FaceRecognizerSF
2024-10-10 17:17:00 +03:00
kallaballa 4cbb96b396 use new instead of malloc and guard it 2024-10-10 15:14:58 +02:00
kallaballa 50f6d54f87 renaming 2024-10-10 14:48:49 +02:00
Wanli 687e37e6a8 Merge pull request #25892 from WanliZhong:v_sincos
Add support for v_sin and v_cos (Sine and Cosine) #25892

This PR aims to implement `v_sincos(v_float16 x)`, `v_sincos(v_float32 x)` and `v_sincos(v_float64 x)`. 
Merged after https://github.com/opencv/opencv/pull/25891 and https://github.com/opencv/opencv/pull/26023

**NOTE:** 
Also, the patch changes already added `v_exp`, `v_log` and `v_erf` to pass parameters by reference instead of by value, to match API of other universal intrinsics.

TODO:
- [x] double and half float precision
- [x] tests for them
- [x] doc to explain the implementation

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
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2024-10-10 13:25:12 +03:00
Karsten Wiese 2a681bbb6b C++26 Deprecated Arithmetic Conversion: Fix core/mat.inl.hpp
Prefix enums with '+' to make clang c++26 add to them again.
2024-10-10 10:40:19 +02:00
kallaballa 63b5dee274 fixed bug: variable shadowing 2024-10-10 06:35:42 +02:00
kallaballa 8ba7389b21 properly size the devices array 2024-10-10 06:32:22 +02:00
kallaballa 885bbc643f renaming 2024-10-10 06:30:33 +02:00
kallaballa dceeb47cd3 rewrote clgl device discovery 2024-10-10 00:02:56 +02:00
Alexander Smorkalov 69803e7b99 Merge pull request #26216 from hanliutong:rvv-hal-merge
Add the HAL implementation for the merge function on RISC-V Vector.
2024-10-09 17:07:57 +03:00
quantizs e1b06371ad Added buffer-based model loading to FaceRecognizerSF
- Implemented a new `create` method in `FaceRecognizerSF` to allow model and configuration loading from memory buffers (std::vector<uchar>), similar to the existing functionality in `FaceDetectorYN`.
- Updated `face_recognize.cpp` with a new constructor in `FaceRecognizerSFImpl` that supports buffer-based loading for both model weights and network configuration.
- Ensured compatibility with both file-based and buffer-based model loading by maintaining consistent backend and target settings across both constructors.
- This change improves flexibility, allowing FaceRecognizerSF to be instantiated from memory buffers, which is useful for dynamic model loading scenarios such as embedded systems or applications where models are loaded in-memory.
2024-10-09 15:13:47 +02:00
Suleyman TURKMEN e72efd0d32 Merge pull request #26260 from sturkmen72:upd_doc_4_x
Update Documentation #26260

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      Patch to opencv_extra has the same branch name.
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2024-10-09 09:09:51 +03:00
george cefde84a76 Merge pull request #25909 from gblikas:patch-1
Update intrin_wasm.hpp #25909

See https://github.com/microsoft/vcpkg/issues/33443 for some build context when using 

```vcpkg install opencv4:wasm32-emscripten```

`__EMSCRIPTEN_major__`, `__EMSCRIPTEN_minor__` and `__EMSCRIPTEN_tiny__` in `emsdk` >= 3.1.4 are in a header, as opposed to command line. 

We could potentially be more aggressive with how I'm checking this property; let me know if I should make the change. 

It should also be suggested that `-msimd128` is auto-included in the associated portfile for opencv, but that's a separate issue. Someone let me know if I should also make that change as well. 

Special thanks to https://github.com/youar for supporting this work; please inform if applying a copyright-header is appropriate attribution.

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-10-09 08:36:10 +03:00
Alexander Smorkalov 7d9014e09e Merge pull request #26263 from mlourakis:4.x
inversion checks
2024-10-08 20:50:15 +03:00
Kumataro 40428d919d Merge pull request #26259 from Kumataro:fix26258
core: C-API cleanup: RNG algorithms in core(4.x) #26259

- replace CV_RAND_UNI and NORMAL to cv::RNG::UNIFORM and cv::RNG::NORMAL.

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- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-10-08 15:55:00 +03:00
Alexander Smorkalov 28efc21530 Merge pull request #26187 from inayd:26130-fixFillPolyBoundaries
Fix fillPoly drawing over boundaries
2024-10-07 17:13:03 +03:00
Alexander Smorkalov cda9f4197e Merge pull request #26266 from mshabunin:fix-rvv071-build
RISC-V: fix build with RVV 0.7.1
2024-10-07 16:14:01 +03:00
Maksim Shabunin 73d68f3f49 RISC-V: fix build with RVV 0.7.1 2024-10-07 12:53:23 +03:00
Manolis Lourakis fa6d6520c7 inversion checks
Extra checks for corner cases in 3x3 matrix inversion
2024-10-06 17:24:15 +03:00
cudawarped e375d5786b cuda - update npp calls to use the new NppStreamContext API if available 2024-10-03 15:13:04 +03:00
Alexander Smorkalov 3901426d85 Merge pull request #26241 from asmorkalov:as/kelidicv-0.2
Updated KleidiCV HAL to version 0.2. #26241

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-10-03 15:04:25 +03:00
Alexander Smorkalov ae1fb8c033 Merge pull request #26224 from mshabunin:cpp-videoio-backport
C-API cleanup: backport videoio changes from 5.x
2024-10-03 14:41:20 +03:00
Wanli 783fe72756 Resolve Compilation Error for v_func Function in SIMD Emulator (#25891)
* use 2 parms for now to identify the error

* Revert "use 2 parms for now to identify the error"

This reverts commit 86faf993a7.

* replace += with =

* add v_log ref

* refactor intrin_math code

* Add include guard to `intrin_math.hpp` to prevent multiple inclusions

* rename VX to V; make fp64 impl in neon be optional

* add v_setall, v_setzero for all backends; rewrite the intrin_math

* fix error on rvv_scalable

* let v_erf use v_exp_default_32f function

* 1. replaced 'v_setzero(VecType dummy)' with 'v_setzero_<VecType>()'
2. replaced 'v_setall(LaneType x, VecType dummy)' with 'v_setall_<VecType>(LaneType x)'
3. added tests for the new v_setzero_<> and v_setall_<>.

* gcc does not seem to like static_assert in functions even when they are not used

* trying to fix compile errors in Debug mode on Linux

---------

Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
2024-10-02 21:28:48 +03:00
Alexander Smorkalov 73b3b24c56 Merge pull request #26236 from asmorkalov:as/HAL_pyrlk_hack_documentation
Added HAL documentation note for out-of-bound hack in optical flow LK.
2024-10-02 17:49:09 +03:00
Alexander Smorkalov 1aa325a460 Added HAL documentation note for out-of-bound hack in optical flow LK. 2024-10-02 12:38:25 +03:00
Alexander Smorkalov 292ee28913 Merge pull request #26230 from mshabunin:cpp-photo-4x
C-API cleanup: inpaint algorithms in photo (4.x)
2024-10-02 08:13:39 +03:00
Alexander Smorkalov b8eed54ced Merge pull request #26228 from mshabunin:cpp-features2d-4x
C-API cleanup: use AutoBuffer in MSER (4.x)
2024-10-02 08:11:28 +03:00
inayd 93a882d2e2 Fix fillPoly drawing over boundaries 2024-10-01 21:17:42 +02:00
Maksim Shabunin 807170d5c9 C-API cleanup: inpaint algorithms in photo 2024-10-01 20:10:35 +03:00
Maksim Shabunin 72023951ea C-API cleanup: use AutoBuffer in MSER 2024-10-01 18:44:22 +03:00
Maksim Shabunin 305b57e622 C-API cleanup: backport videoio changes from 5.x 2024-10-01 17:06:08 +03:00
Alexander Smorkalov 658336b366 Merge pull request #26219 from mlourakis:4.x
SQPnP solver updates
2024-10-01 14:53:20 +03:00
Manolis Lourakis 086b999013 SQPnP solver updates
Mirror most recent changes from https://github.com/terzakig/sqpnp/pull/24
  - rank revealing QR in nullspace computation
  - sqrt-free Cholesky (i.e., L*D*Lt) in the SQP solution
  - replaced divisions with multiplications by inverses
  - simplified checks in computeRowAndNullspace()
  - removed unnecessary negations
  - broke some dependency chains with parentheses
  - minor other changes
2024-09-30 16:17:22 +03:00
Liutong HAN 8a36f119ce Add the HAL implementation for the merge function on RISC-V Vector 2024-09-29 13:39:53 +00:00
Javier Macias Sola 679931dcde Enhance cv::TickMeter to be able to get the last ellapsed time 2024-09-28 12:24:36 +02:00
Suleyman TURKMEN 48a48fe11c Enable PNG exif orientation test 2024-09-27 00:04:12 +03:00
Alexander Smorkalov 450e741f8d Merge pull request #26176 from najasnake12:fixed_minor_typos_in_js_tutorials
Fixed minor typos in JS tutorials
2024-09-23 08:51:44 +03:00
Alexander Smorkalov a6ec12f58b Merge pull request #26163 from asmorkalov:as/HAL_schaar_deriv
HAL interface for Sharr derivatives needed for Lukas-Kanade algorithm #26163

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-23 08:44:22 +03:00
Scott 50eebbd21f Fixed minor typos in js tutorials 2024-09-22 11:40:06 +02:00
Alexander Smorkalov b2e118ea94 Merge pull request #26166 from mshabunin:fix-intrin-ops
build: fix AVX2/AVX512 builds failed due to intrinsics operator usage
2024-09-20 19:09:45 +03:00
Maksim Shabunin 6ef357fd54 build: fix AVX2/AVX512 builds failed due to intrinsics operator usage 2024-09-20 13:38:59 +03:00
CSBVision fab419a484 Update op_cuda.hpp 2024-09-20 12:00:17 +02:00
Suleyman TURKMEN f503890c2b Merge pull request #26152 from sturkmen72:m_buf_supported
Documentation update for imagecodecs #26152

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-17 09:34:38 +03:00
Alessandro de Oliveira Faria (A.K.A.CABELO) e043d5d9d6 Merge pull request #26154 from cabelo:yolov5l
Added and tested yolov5l model. #26154

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

Below is evidence of the test:

![v5l](https://github.com/user-attachments/assets/f31eff0b-11fc-44de-bdaf-640e67d1d924)
2024-09-17 08:58:22 +03:00
Alexander Smorkalov 881440c6c6 Merge pull request #26143 from asmorkalov:as/HAL_opticalFlowLK
Added HAL interface for Lukas-Kanade optical flow #26143

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-16 17:07:06 +03:00
Alexander Smorkalov ee685017c3 Merge pull request #26153 from onurcankaraman:sample/trackerUpdate
sample: tracker parameters updated
2024-09-16 10:31:01 +03:00
Onur Can KARAMAN aa11a898a4 sample: tracker parameters updated
Signed-off-by: Onur Can KARAMAN <onurcankaraman340@gmail.com>
2024-09-14 23:36:57 +03:00
Alexander Smorkalov e1fec15627 Merge pull request #26148 from mshabunin:fix-sift-corruption
features2d: fixed out of bounds access in SIFT
2024-09-13 15:46:00 +03:00
Maksim Shabunin 6308739638 features2d: fixed out of bounds access in SIFT 2024-09-13 14:30:27 +03:00
Alexander Smorkalov bf998429f6 Merge pull request #26146 from mshabunin:fix-test-overrides
ts: add some missing override markers
2024-09-13 13:33:54 +03:00
Maksim Shabunin 9663245459 ts: add some missing override markers 2024-09-13 12:48:05 +03:00
Robert Mitchell f143f45fa2 Merge pull request #25785 from refmitchell:issue_25784
Documentation update for minMaxLoc #25785

Fixes #25784

Update documentation for minMaxLoc to be more specific about when multi-channel images are and are not supported.

Testing:
Built documentation locally to check that updates were incorporated correctly.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-09-13 12:34:01 +03:00
Wanli c8080aa415 Merge pull request #26109 from WanliZhong:univ_intrin_operator2warpper
Replace operators with wrapper functions on universal intrinsics backends #26109

This PR aims to replace the operators(logic, arithmetic, bit) with wrapper functions(v_add, v_eq, v_and...)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-13 10:56:48 +03:00
Maksim Shabunin 4c81e174bf Merge pull request #25901 from mshabunin:fix-riscv-aarch-baseline
RISC-V/AArch64: disable CPU features detection #25901

This PR is the first step in fixing current issues with NEON/RVV, FP16, BF16 and other CPU features on AArch64 and RISC-V platforms.

On AArch64 and RISC-V platforms we usually have the platform set by default in the toolchain when we compile it or in the cmake toolchain file or in CMAKE_CXX_FLAGS by user. Then, there are two ways to set platform options: a) "-mcpu=<some_cpu>" ; b) "-march=<arch description>" (e.g. "rv64gcv"). Furthermore, there are no similar "levels" of optimizations as for x86_64, instead we have features (RVV, FP16,...) which can be enabled or disabled. So, for example, if a user has "rv64gc" set by the toolchain and we want to enable RVV. Then we need to somehow parse their current feature set and append "v" (vector optimizations) to this string. This task is quite hard and the whole procedure is prone to errors.

I propose to use "CPU_BASELINE=DETECT" by default on AArch64 and RISC-V platforms. And somehow remove other features or make them read-only/detect-only, so that OpenCV wouldn't add any extra "-march" flags to the default configuration. We would rely only on the flags provided by the compiler and cmake toolchain file. We can have some predefined configurations in our cmake toolchain files.

Changes made by this PR:
- `CMakeLists.txt`: 
  - use `CMAKE_CROSSCOMPILING` instead of `CMAKE_TOOLCHAIN_FILE` to detect cross-compilation. This might be useful in cases of native compilation with a toolchain file
  - removed obsolete variables `ENABLE_NEON` and `ENABLE_VFPV3`, the first one have been turned ON by default on AArch64 platform which caused setting `CPU_BASELINE=NEON`
  - raise minimum cmake version allowed to 3.7 to allow using `CMAKE_CXX_FLAGS_INIT` in toolchain files
- added separate files with arch flags for native compilation on AArch64 and RISC-V, these files will be used in our toolchain files and in regular cmake
- use `DETECT` as default value for `CPU_BASELINE` also allow `NATIVE`, warn user if other values were used (only for AArch64 and RISC-V)
- for each feature listed in `CPU_DISPATCH` check if corresponding `CPU_${opt}_FLAGS_ON` has been provided, warn user if it is empty (only for AArch64 and RISC-V)
- use `CPU_BASELINE_DISABLE` variable to actually turn off macros responsible for corresponding features even if they are enabled by compiler
- removed Aarch64 feature merge procedure (it didn't support `-mcpu` and built-in `-march`)
- reworked AArch64 and two RISC-V cmake toolchain files (does not affect Android/OSX/iOS/Win):
  - use `CMAKE_CXX_FLAGS_INIT` to set compiler flags
  - use variables `ENABLE_BF16`, `ENABLE_DOTPROD`, `ENABLE_RVV`, `ENABLE_FP16` to control `-march`
  - AArch64: removed other compiler and linker flags
    - `-fdata-sections`, `-fsigned-char`, `-Wl,--no-undefined`, `-Wl,--gc-sections`   - already set by OpenCV
    - `-Wa,--noexecstack`, `-Wl,-z,noexecstack`, `-Wl,-z,relro`, `-Wl,-z,now` - can be enabled by OpenCV via `ENABLE_HARDENING`
    - `-Wno-psabi` - this option used to disable some warnings on older ARM platforms, shouldn't harm
  - ARM: removed same common flags as for AArch64, but left `-mthumb` and `--fix-cortex-a8`, `-z nocopyreloc`
2024-09-12 18:07:24 +03:00
FantasqueX 85923c8f30 Merge pull request #26113 from FantasqueX:zlib-ng-2-2-1
Update zlib-ng to 2.2.1 #26113

Release: https://github.com/zlib-ng/zlib-ng/releases/tag/2.2.1
ARM diagnostics patch: https://github.com/zlib-ng/zlib-ng/pull/1774

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-12 16:05:24 +03:00
Alexander Smorkalov 7de3a8e960 Merge pull request #26088 from plctlab:rvp_pt2
3rdparty: NDSRVP - Part 2: Filter
2024-09-11 12:18:42 +03:00
Alexander Smorkalov fcfdd311ab Merge pull request #26134 from savuor:rv/mixed_arithm_channels
Mixed arithmetics tests: multichannel support
2024-09-10 13:20:04 +03:00
Alexander Smorkalov 976fb3e8d6 Merge pull request #26132 from asmorkalov:as/tlile_leakyRelu
Leaky RELU support for TFLite.
2024-09-10 10:28:35 +03:00
Rostislav Vasilikhin 8725a7e21c Mixed arithmetics tests: multichannel 2024-09-09 13:54:00 +02:00
Alexander Smorkalov 209802c9f6 Leaky RELU support for TFLite. 2024-09-09 12:40:35 +03:00
pasbi 79faf857d9 Merge pull request #26042 from pasbi:add-PtrStepSz_size
Add size() to CUDA PtrStepSz #26042

According to [cppreference.com compiler support table](https://en.cppreference.com/w/cpp/compiler_support/17), `nvcc` supports `[[nodiscard]]` from version 11.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Related: https://github.com/opencv/opencv/pull/25659
2024-09-09 08:47:26 +03:00
Alexander Smorkalov e5790c0241 Merge pull request #26116 from savuor:rv/warp_affine_perf_types
Added more data types for warpAffine() perf tests
2024-09-09 07:45:55 +03:00
Alexander Smorkalov a7d942b681 Merge pull request #26125 from asmorkalov:as/HAL_fix_nullprt_leak
Excluded nullptr leak to arithmetic HAL got from empty Mat.
2024-09-07 14:20:34 +03:00
Alexander Smorkalov 307dc2a298 Excluded nullptr leak to arithmetic HAL got from empty Mat. 2024-09-06 16:49:14 +03:00
Alexander Smorkalov 6cc166985d Merge pull request #26117 from FantasqueX:update-remap-tutorial-1
Update remap tutorial
2024-09-06 08:53:19 +03:00
Rostislav Vasilikhin 7590813b69 Merge pull request #26115 from savuor:rv/flip_ocl_dtypes
Added more data types to OCL flip() and rotate() perf tests #26115

Connected PR with updated sanity data: https://github.com/opencv/opencv_extra/pull/1206

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-09-06 08:26:00 +03:00
Alexander Smorkalov 2a8d4c6025 Merge pull request #26120 from mshabunin:fix-rvv-init-4.x
RISC-V: remove statically initialized global RVV variables (4.x)
2024-09-06 08:21:47 +03:00
Maksim Shabunin dbd53fe89a RISC-V: remove statically initialized global RVV variables 2024-09-05 19:50:43 +03:00
Letu Ren b743edd466 Update remap tutorial
- Make x a math symbol
- Fix a typo
2024-09-05 16:54:37 +08:00
Alexander Smorkalov 06db881ca9 Merge pull request #26114 from savuor:rv/rgb2gray_bit_exact
Added bit-exact tests for RGB2Gray
2024-09-05 11:29:29 +03:00
Rostislav Vasilikhin c0a0852f05 added more data types for warpAffine() perf tests 2024-09-05 05:46:17 +02:00
Rostislav Vasilikhin 9ef574a213 added bit-exact tests for RGB2Gray 2024-09-05 03:34:35 +02:00
Alexander Smorkalov 76f495dce9 Merge pull request #26105 from mshabunin:fix-cmake-3.30
build: minor changes for cmake 3.30 and some cleanup
2024-09-04 09:16:28 +03:00
Maksim Shabunin 32d3d6fa97 build: minor changes for cmake 3.30 and some cleanup 2024-09-03 16:35:45 +03:00
Vincent Rabaud 8561f45c2a Merge pull request #26084 from vrabaud:avif_check
Avoid uninitialized value read in resize. #26084

When there is no point falling right, an hypothetical value is computed (but unused) using an uninitialized ofst. This triggers warnings in the sanitizers.

Including those values in the for loops is also possible but messy when SIMD is involved.

### Pull Request Readiness Checklist

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2024-09-03 15:16:22 +03:00
tingboliao 88f99edc65 Merge pull request #26071 from tingboliao:4.x
Remove the redundant codes of cv::convertMaps and mRGBA2RGBA<uchar> #26071

(1) cv::convertMaps: the branch [else if( m1type == CV_32FC2 && dstm1type == CV_16SC2 ) if( nninterpolate )] is unreachable,
    as the condition is satisfied in lines 1959 to 1961, calculated in advance and return directly.
(2) mRGBA2RGBA<uchar>: dst[0], dst[1], dst[2] and dst[3] is calculated repeatedly. Introduced in https://github.com/opencv/opencv/pull/13440

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-03 07:56:37 +03:00
Alexander Smorkalov e9c3e1acb5 Merge pull request #26102 from FantasqueX:make-t-a-math-symbol
Make T a math symbol
2024-09-03 07:50:27 +03:00
Letu Ren 3995ad8458 Make T a math symbol 2024-09-03 10:54:10 +08:00
Suleyman TURKMEN e2ba36bf9c Merge pull request #26093 from sturkmen72:related_issue_22090
Update test_tiff.cpp #26093

related #22090

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-09-02 15:26:24 +03:00
Alexander Smorkalov 960aaa32db Merge pull request #26094 from catree:fix_cameramatrix_doc_typo
Fix typo with cameramatrix command for documentation
2024-09-02 09:34:13 +03:00
Alexander Smorkalov b72d7e3b05 Merge pull request #26091 from asmorkalov:as/arm_version_check
Got rid of CAROTENE_NEON_ARCH and use standard __ARM_ARCH check
2024-09-02 09:02:28 +03:00
catree 165bf25c46 Fix typo with cameramatrix command for documentation.
Fix link for "RANSAC for Dummies" tutorial.
2024-09-01 01:03:57 +02:00
Alexander Smorkalov 4d66541999 Merge pull request #26067 from CNClareChen:4.10
Resolve compilation bug on LoongArch platform
2024-08-30 14:01:53 +03:00
Alexander Smorkalov 5b4d1ce6a0 Merge pull request #26080 from asmorkalov:as/HAL_minMaxIdx_ND_offset
Added offset for HAL as ofs2idx expects 1-based index #26080

### Pull Request Readiness Checklist

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2024-08-30 13:10:24 +03:00
Alexander Smorkalov a905526f71 Got rid of CAROTENE_NEON_ARCH and use standard __ARM_ARCH check. 2024-08-30 12:09:04 +03:00
Alexander Smorkalov 2829a6de85 Merge pull request #26030 from CNClareChen:4.x
Workaround for division by zero, issue #25795
2024-08-30 11:35:08 +03:00
llh721113 e087cc8fd1 feat: NDSRVP Filter 2024-08-30 07:59:51 +08:00
Alexander Smorkalov f156236d17 Merge pull request #26081 from mshabunin:fix-v4l-nv12
videoio: fix V4L backend with NV12 input format
2024-08-28 18:46:53 +03:00
Maksim Shabunin 61f6b6d773 videoio: fix V4L backend with NV12 input format 2024-08-28 16:43:27 +03:00
Alexander Smorkalov bacefd3b8d Merge pull request #26077 from vrabaud:avif_check
Disable strict mode when reading avif files
2024-08-28 16:15:01 +03:00
Vincent Rabaud a17fafc3af Disable strict mode when reading avif files
This fixes https://github.com/opencv/opencv/issues/26011
2024-08-28 11:49:27 +02:00
alexlyulkov 766bad0035 Merge pull request #26053 from alexlyulkov:al/opencl-conformance-tests
DNN(ONNX): Enabled several OpenCL conformance tests #26053

The tests also work in 5.x

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2024-08-27 17:23:11 +03:00
Alexander Smorkalov 18117cf355 Merge pull request #26063 from mshabunin:fix-config-and-doc
build/doc: disabled libdc1394 by default, documented framebuffer options
2024-08-27 17:12:00 +03:00
Alexander Smorkalov ea8c9dc2de Merge pull request #26062 from asmorkalov:as/pow_ocl_duplicate
Removed duplicated code in Pow implementation that triggers wrong assert on Intel iGPU
2024-08-27 17:04:57 +03:00
Alexander Smorkalov 3803eeecba Merge pull request #26069 from hanliutong:fix-medianBlur
Enable `CV_SIMD_SCALABLE` for median blur.
2024-08-27 16:52:36 +03:00
Liutong HAN 2d5b0caa77 Enable CV_SIMD_SCALABLE in medianBlur. 2024-08-27 02:51:08 +00:00
Hao Chen 5638c38d53 Resolve compilation bug
Fixed a bug that occurred when compiling with the clang18 compiler.

Signed-off-by: Hao Chen <chenhao@loongson.cn>
2024-08-26 17:24:05 +08:00
Hao Chen 9c19a0cdba Reinitialize divider matrix in DivRCPerfTest and DivPerfTest Cases.
This patch reinitializes divider matrix without zero values in DivRCPerfTest
and DivPerfTest test cases.
2024-08-26 16:23:50 +08:00
Maksim Shabunin 412c97b411 build/doc: disabled libdc1394 by default, documented framebuffer options 2024-08-23 18:13:43 +03:00
Alexander Smorkalov 76bf17a248 Removed duplicated code in Pow implementation that triggers wrong assert on Intel iGPU. 2024-08-23 17:44:58 +03:00
penghuiho f4c2e4f872 Merge pull request #26061 from penghuiho:fix-pow-bug
Fixed the simd bugs of iPow8u and iPow16u #26061

Add the following cases in opencv_perf_core:

* OCL_PowFixture_iPow.iPow/0, where GetParam() = (640x480, 8UC1)
* OCL_PowFixture_iPow.iPow/2, where GetParam() = (640x480, 16UC1)

iPow8u and iPow16u failed to call to simd accelerating while executing.

Fix the bug by changing the input type of iPow_SIMD function.

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2024-08-23 17:12:19 +03:00
Abduragim Shtanchaev e5b871fa7e Merge pull request #26059 from Abdurrahheem:ash/fix-einsum-allocation
Einsum buffer allocation fix #26059

This PR fixed buffer allocation issue in Einsum layer that causes segmentation fault on 32bit platforms. Related issue #26008 

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2024-08-23 15:25:48 +03:00
Kumataro a3bdbf5553 Merge pull request #26022 from Kumataro:fix26016
Imgproc: use double to determine whether the corners points are within src #26022

close #26016
Related https://github.com/opencv/opencv_contrib/pull/3778

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2024-08-23 12:35:13 +03:00
Alexander Smorkalov 916724e2a0 Merge pull request #26054 from asmorkalov:as/warping_perf
Extended perf tests for warpPerspective to cover channels too
2024-08-23 11:58:20 +03:00
Alexander Smorkalov 6c6d5cd7b2 Merge pull request #25986 from asmorkalov:as/js_for_contrib
Split Javascript white-list to support contrib modules #25986

Single whitelist converted to several per-module json files. They are concatenated automatically and can be overriden by user config.

Related to https://github.com/opencv/opencv/pull/25656

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2024-08-23 10:49:08 +03:00
Maxim Smolskiy 697512bb9f Merge pull request #26014 from MaximSmolskiy:increase-search-radius-for-corners-neighbors-in-ChessBoardDetector-findQuadNeighbors
Increase neighbors search radius for corners in ChessBoardDetector:findQuadNeighbors #26014

I didn't do everything right the way I wanted at #25991. I forgot that `edge_len` is edge **squared** length as well as `thresh_scale` is threshold for **squared** scale. So, I wanted to increase scale by `sqrt(2)` times (idea is to use quad diagonal instead of quad side) and therefore `thresh_scale` should be equal to `sqrt(2)^2 = 2`.

And refactor variables names to explicitly indicate that they are squared, so that no one else falls into this trap

I tested this PR with benchmark
```
python3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard
```
PR increases detected chessboards number by `1/2%`:
```
cell_img_size = 100 (default)

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.941667                      13560             14400                           0.596726
Total detected time:  136.68963200000007 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.952083                      13710             14400                           0.595984
Total detected time:  136.55770600000014 sec

----------------------------------------------------------------------------------------------------------------------------------------------

cell_img_size = 10

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.579167                       8340             14400                           4.198448
Total detected time:  2.535998999999999 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error 
                                      all             0.591389                       8516             14400                           4.155250
Total detected time:  2.700832999999997 sec
```

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2024-08-22 15:06:02 +03:00
Alexander Smorkalov 55d1bf3da9 Extended perf tests for warpPerspective to cover channels too. 2024-08-21 17:31:28 +03:00
Yuantao Feng 347d673a87 Merge pull request #23279 from fengyuentau:add_topk
dnn: add ONNX TopK #23279

Merge with https://github.com/opencv/opencv_extra/pull/1200

Partially fixes #22890 and #20258

To-do:

- [x] TopK forward impl
- [x] add tests
- [x] support Opset 1 & 10 if possible
- [ ] ~Support other backends~ (TopK has two outputs, which is not supported by other backends, such as openvino)


Perf:

M1 (time in millisecond)

| input shape     | axis | dnn  | ort  |
| --------------- | ---- | ---- | ---- |
| (1000, 100)     | 0    | 1.68 | 4.07 |
| (1000, 100) K5  | 0    | 1.13 | 0.12 |
| (1000, 100)     | 1    | 0.96 | 0.77 |
| (100, 100, 100) | 0    | 10.00 | 31.13 |
| (100, 100, 100) | 1    | 7.33 | 9.17 |
| (100, 100, 100) | 2    | 7.52 | 9.48 |

M2 (time in milisecond)

| input shape     | axis | dnn  | ort  |
| --------------- | ---- | ---- | ---- |
| (1000, 100)     | 0    | 0.76 | 2.44 |
| (1000, 100) K5 | 0 | 0.68 | 0.07 |
| (1000, 100)     | 1    | 0.41 | 0.50 |
| (100, 100, 100) | 0    | 4.83 | 17.52|
| (100, 100, 100) | 1    | 3.60 | 5.08 |
| (100, 100, 100) | 2    | 3.73 | 5.10 |

ONNXRuntime performance testing script: https://gist.github.com/fengyuentau/a119f94fd16721ec9974b8c7b0a45d4c

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2024-08-21 17:03:24 +03:00
FantasqueX 7cf075c392 Merge pull request #25968 from FantasqueX:correct-bayer2gray-simd-1
Correct Bayer2Gray u8 SIMD #25968

SIMD version of CV_DESCALE is not correct. It should be implemented using v_dotprod.

What's more, the stop condition of vector operation should be `bayer < bayer_end - 14` because we just need to make sure result is safely stored into `dst`.

Closes: https://github.com/opencv/opencv/issues/25823

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2024-08-21 11:33:07 +03:00
Alexander Smorkalov 7e3b69e02b Merge pull request #26052 from savuor:rv/rounding_lock
Fix rounding mode for test
2024-08-21 10:26:34 +03:00
alexlyulkov 8715229e49 Merge pull request #26009 from alexlyulkov:al/unify-build-gradle
Unified build.gradle files into one template #26009

Issue #24686

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2024-08-21 09:24:28 +03:00
Rostislav Vasilikhin 7fe36a3cb2 lock rounding mode for parallel test run 2024-08-21 09:02:02 +03:00
Alexander Smorkalov a087a9c47a Merge pull request #26045 from asmorkalov:as/variant-free
Free Variant variable after usage in DShow back-end
2024-08-20 14:19:39 +03:00
Alexander Smorkalov ec2e2da1fe Merge pull request #26046 from ivafanas:speedup_random_forest_get_votes
speedup random forest getVotes method.
2024-08-20 14:19:21 +03:00
Ivan Afanasyev 7d3d2101f9 speedup random forest getVotes method. 2024-08-20 15:35:59 +07:00
Alexander Smorkalov 24fde08712 Free Variant variable after usage in DShow back-end 2024-08-19 21:40:52 +03:00
Alexander Smorkalov ae4a11b0c0 Merge pull request #26034 from Octopus136:issue-26033
Fix: reduce redundant code by optimizing device name retrieval
2024-08-19 19:06:16 +03:00
Alexander Smorkalov ebe04a5723 Merge pull request #26041 from knmcguire:patch-1
Docfix - Remove notice on using deprecated itemset
2024-08-19 17:44:07 +03:00
Alexander Smorkalov de89aa379d Merge pull request #25980 from ericmariasis:eric-mariasis-stitcher-py-markdown
fixing issue 25962
2024-08-19 17:40:55 +03:00
ericmariasis cb72a2131f Added python branch to stitching tutorial. 2024-08-19 16:28:15 +03:00
ShengYu aa133cd899 Merge pull request #26038 from shengyu7697:fix-typo
Fix typos #26038

Fix typos

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2024-08-19 13:00:07 +03:00
Kimberly N. McGuire b5b9b3a279 Remove notice on using deprecated itemset 2024-08-18 15:43:25 +02:00
Octopus136 61d719d2aa fix: reduce redundant code by optimizing device name retrieval 2024-08-16 15:31:35 +08:00
Alexander Alekhin 78630ddc67 Merge pull request #26029 from fengyuentau:dnn/fix_cuda_matmul_crash 2024-08-16 01:08:34 +00:00
Alexander Alekhin 0838920371 Merge pull request #26032 from FantasqueX:fix-typo-3 2024-08-15 16:53:02 +00:00
Alexander Alekhin 95070e61ce Merge pull request #26031 from FantasqueX:fix-typo-2 2024-08-15 16:52:45 +00:00
Letu Ren a8a088d28c Fix typo in MorphShapes document 2024-08-15 18:20:57 +08:00
Letu Ren c340b3b466 Fix typo in openvx readme 2024-08-15 16:37:40 +08:00
Yuantao Feng 93e0c7e53f fix matmul crash 2024-08-15 16:10:40 +08:00
Alexander Smorkalov 315f85d4f4 Merge pull request #26019 from shengyu7697:fix-typo
correct "enviroment" to "environment"
2024-08-12 13:33:05 +03:00
Kumataro 2fcea41f86 Merge pull request #26018 from Kumataro:fix26017
doc: remove duplicated OpenCV Theory at ToC in Basic Drawing #26018

Close #26017

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2024-08-12 13:32:52 +03:00
shengyu 37c1acbf19 correct "enviroment" to "environment" 2024-08-11 22:27:36 +08:00
Kumataro da3debda6d Merge pull request #25981 from Kumataro:fix25971
imgproc: add specific error code when cvtColor is used on an image with an invalid number of channels #25981

close #25971

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2024-08-09 14:22:02 +03:00
Nishanth 6cd730a02c Merge pull request #26002 from nishanthdass:doc/missing-fields-python-tutorials
Remove empty Additional Resources and Exercises fields from tutorials #26002

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This PR is in response to issue [26001](https://github.com/opencv/opencv/issues/26001)

This pull request addresses the issue of empty "Additional Resources" and "Exercises" fields in several OpenCV-Python tutorials. The empty sections have been removed to improve the clarity and consistency of the documentation.
2024-08-09 10:34:44 +03:00
Arvind Iyer c9df679943 Merge pull request #25959 from arvind-iyer:4.x
Improved samples/python/tracker.py docstring #25959

This PR removed unused arguments and updated existing argument placeholders to be more descriptive of what they are.

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2024-08-07 15:17:26 +03:00
Alexander Smorkalov 67d0338c9c Merge pull request #26004 from ericmariasis:eric-mariasis-issue-26000
got rid of std prefix
2024-08-07 10:26:24 +03:00
ericmariasis 3f92884520 got rid of std prefix 2024-08-07 00:17:04 -04:00
James Choi 582a7f32d5 Merge pull request #25832 from chachoi-world:4.x
Add support for QNX #25832

Build and test instruction for QNX:
https://github.com/chachoi-world/qnx-ports/blob/main/opencv/README.md

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2024-08-06 20:25:39 +03:00
Alexander Smorkalov d8bcc2c85d Merge pull request #25996 from asmorkalov:as/fillPoly_check
Fixed asserts in fillPoly
2024-08-06 17:56:22 +03:00
Rostislav Vasilikhin 1acf722e24 Merge pull request #25970 from savuor:rv/hal_pyrdown
pyrDown: offset HAL added, IPP removed #25970

Resolves #25976

### Changes
* HAL added for offset support so that border pixels can be fetched from outside of the image ROI (see `BORDER_ISOLATED` parameter)
* IPP removed since there is `pyrUp` instead of `pyrDown` and there's no easy way to fix this other than rewriting it from scratch
* replaced old C call by modern `cv::pyrDown`

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2024-08-06 15:04:53 +03:00
Alexander Smorkalov 9dee2c6e67 Fixed asserts in fillPoly. 2024-08-06 12:02:01 +03:00
Alexander Smorkalov 49459d46e2 Merge pull request #25932 from asmorkalov:as/HAL_cvtColor_aprox
Added xxxApprox overloads for YUV color conversions in HAL and AlgorithmHint to cvtColor #25932

The xxxApprox to implement HAL functions with less bits for arithmetic of FP.

The hint was introduced in #25792 and #25911

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-08-06 11:40:58 +03:00
Alexander Smorkalov 333054e05e Merge pull request #25943 from asmorkalov:as/fisheye_distrort_newk
Added fisheye::distortPoints with non-identity projection matrix
2024-08-05 19:33:18 +03:00
Alexander Smorkalov ea2a3cb264 Merge pull request #25643 from cpoerschke:issue-25635-find-existing-file-tests
replace lena.jpg in find-existing-file tests
2024-08-05 15:28:16 +03:00
Alexander Smorkalov ecbff5a20c Merge pull request #25786 from plctlab:rvp_3rdparty
3rdparty: NDSRVP - Part 1.5: New Interfaces
2024-08-05 15:26:31 +03:00
Alexander Smorkalov 75fca7d9d0 Added fisheye::distort with non-identity projection matrix. 2024-08-05 15:22:00 +03:00
Maxim Smolskiy 6ed603e917 Merge pull request #25991 from MaximSmolskiy:improve-corners-matching-in-ChessBoardDetector-NeighborsFinder-findCornerNeighbor
Improve corners matching in ChessBoardDetector::NeighborsFinder::findCornerNeighbor #25991

### Pull Request Readiness Checklist

Idea was mentioned in `Section III-B. New Heuristic for Quadrangle Linking` of `Rufli, Martin & Scaramuzza, Davide & Siegwart, Roland. (2008). Automatic Detection of Checkerboards on Blurred and Distorted Images. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. 3121-3126. 10.1109/IROS.2008.4650703` (https://rpg.ifi.uzh.ch/docs/IROS08_scaramuzza_b.pdf):
![Снимок экрана от 2024-08-05 09-51-27](https://github.com/user-attachments/assets/7a090ccc-c24c-4dfb-b0dd-259c8709eb72)
```
* For each candidate pair, focus on the quadrangles they belong to and draw two straight lines passing through the midsections of the respective quadrangle edges (see Fig. 6).
* If the candidate corner and the source corner are on the same side of every of the four straight lines drawn this way (this corresponds to the yellow shaded area in Fig. 6), then the corners are successfully matched.
```

By improving corners matching, we can increase the search radius (`thresh_scale`).

I tested this PR with benchmark
```
python3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard
```
PR increases detected chessboards number by `3/7%`:
```
cell_img_size = 100 (default)

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.910417                      13110             14400                           0.599746
Total detected time:  147.50906700000002 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.941667                      13560             14400                           0.596726
Total detected time:  136.68963200000007 sec

----------------------------------------------------------------------------------------------------------------------------------------------

cell_img_size = 10

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.539792                       7773             14400                           4.208237
Total detected time:  2.668964 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.579167                       8340             14400                           4.198448
Total detected time:  2.535998999999999 sec
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-08-05 13:28:07 +03:00
Alexander Smorkalov ab99f87b6a Merge pull request #25979 from asmorkalov:as/custom_allocator
Set and check allocator pointer for all cv::Mat instances
2024-08-05 11:52:00 +03:00
Alexander Smorkalov 9de2ebbec1 Merge pull request #25978 from chacha21:cuda_stdallocator
Adding getStdAllocator() to cv::cuda::GpuMat
2024-08-05 10:58:33 +03:00
Alexander Smorkalov 992dc932ee Merge pull request #25987 from AvenSun:fix-namespace
fix compilation errors caused by namespace
2024-08-05 10:45:11 +03:00
Alexander Smorkalov a15cd4b63d Set and check allocator pointer for all cv::Mat instances. 2024-08-05 10:07:14 +03:00
Aven 796974cccc fix compilation errors caused by namespace
related: #25199
2024-08-04 05:04:03 +08:00
Alexander Smorkalov 95041f5e65 Merge pull request #25983 from stepkamipt:4.x
Fix path to 3rdparty cmake.
2024-08-02 16:51:26 +03:00
stepkamipt 340a390ea2 Fix path to 3rdparty cmake.
Current code using CMAKE_SOURCE_DIR and it works well if opencv is standalone CMake project,
but in case of building OpenCV as part of a larger CMake project (e.g. one that includes
opencv and opencv_contrib) this path is incorrect, unlike OpenCV_SOURCE_DIR
2024-08-02 10:07:36 +02:00
Junyan721113 35463e079c feat: Part 1.5 - New Interfaces 2024-08-02 13:47:45 +08:00
Alexander Alekhin b79b366859 Merge pull request #25930 from opencv-pushbot:gitee/alalek/cmake_try_detect_feature_without_flags 2024-08-01 20:09:49 +00:00
Alexander Smorkalov b9b2d551ac Merge pull request #25975 from asmorkalov:as/bmp_error_check
Improved error handling in image codecs.
2024-08-01 14:15:40 +03:00
chacha21 f67d4852bf Added no-imp placeholder when HAVE_CUDA is false 2024-08-01 10:00:31 +02:00
chacha21 2db7f8e827 Adding getStdAllocator() to cv::cuda::GpuMat
To be on par with `cv::Mat`, let's add `cv::cuda::GpuMat::getStdAllocator()`
This is useful anyway, because when a user wants to use custom allocators, he might want to resort to the standard default allocator behaviour, not some other allocator that could have been set by `setDefaultAllocator()`
2024-08-01 09:36:08 +02:00
Alexander Smorkalov 93745245a3 Improved error handling in image codecs. 2024-08-01 08:34:29 +03:00
Daniele Affinita 2a333a6c86 Merge pull request #25644 from DaniAffCH:blockwise-quantization
[GSoC] dnn: Blockwise quantization support #25644

This PR introduces blockwise quantization in DNN allowing the parsing of ONNX models quantized in blockwise style. In particular it modifies the `Quantize` and `Dequantize` operations. The related PR opencv/opencv_extra#1181 contains the test data.

Additional notes:
- The original quantization issue has been fixed. Previously, for 1D scale and zero-point, the operation applied was  $y = int8(x/s - z)$ instead of $y = int8(x/s + z)$. Note that the operation was already correctly implemented when the scale and zero-point were scalars. The previous implementation failed the ONNX test cases, but now all have passed successfully.  [Reference](https://github.com/onnx/onnx/blob/main/docs/Operators.md#QuantizeLinear)
- the function `block_repeat` broadcasts scale and zero-point to the input shape. It repeats all the elements of a given axis n times. This function generalizes the behavior of `repeat` from the core module which is defined just for 2 axis assuming `Mat` has 2 dimensions. If appropriate and useful, you might consider moving `block_repeat` to the core module.
- Now, the scale and zero-point can be taken as layer inputs. This increases the ONNX layers' coverage and enables us to run the ONNX test cases (previously disabled) being fully compliant with ONNX standards. Since they are now supported, I have enabled the test cases for: `test_dequantizelinear`, `test_dequantizelinear_axis`, `test_dequantizelinear_blocked`, `test_quantizelinear`, `test_quantizelinear_axis`, `test_quantizelinear_blocked` just in CPU backend. All of them pass successfully.
   
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-30 14:16:08 +03:00
Alexander Smorkalov 89fff355c8 Merge pull request #25961 from gblikas:gblikas_4.x_ts_js
fix: js/html perf tests
2024-07-30 08:53:04 +03:00
gaohaoyuan 603344fa54 add API to reinterpret Mat type 2024-07-30 11:04:58 +08:00
Alexander Alekhin 938b9e4bb7 cmake: try baseline optimization feature check without extra flags first 2024-07-29 13:21:23 +00:00
gblikas 99672a2691 fix: js perf tests
modules/js/perf/perf_helpfunc.js and target tests, e.g. perf_gaussianBlur.js contained "const isNodeJs", leading to re-definition when using associated *.html files.
2024-07-26 13:24:26 -07:00
Alexander Smorkalov 1ca526dcdb Merge pull request #25940 from Kumataro:fix25928
python: prefer cv::Mat over cv::UMat in python binding
2024-07-26 14:39:49 +03:00
Alexander Smorkalov 65853aa783 Merge pull request #25955 from Kumataro:fix25946
core: FileStorage: detect invalid attribute value
2024-07-26 11:59:01 +03:00
Kumataro be3c519956 core: FileStorage: detect invalid attribute value 2024-07-26 05:55:00 +09:00
Alexander Smorkalov 5b3f33dd11 Merge pull request #25952 from alexlyulkov:al/java-orb-test
Added ORB detection test for Java and Android
2024-07-25 20:13:38 +03:00
Alexander Lyulkov 0b3dbdd4b3 Added Java ORB test 2024-07-25 16:47:41 +03:00
Alexander Smorkalov eab21b6106 Merge pull request #25814 from sturkmen72:numFrames
add getFrameCount() member function to BaseImageDecoder
2024-07-24 17:13:15 +03:00
Alexander Smorkalov c5de090964 Merge pull request #25944 from vrabaud:depth_check
Avoid future integer overflow in _OutputArray::create
2024-07-24 16:38:42 +03:00
武士风度的牛 160879c100 Merge pull request #25807 from spdfghi:4.x
Search in two directions when try to add new quad in addOuterQuad #25807

In ChessBoardDetector::addOuterQuad, previous code try to connect new quad with inner quad, if possible, but only search for one direction. I have made  three test images, one is normal(a.jpg), one lossed an outer quad(b.jpg), and then i flipped it vertically(c.jpg). Only last one fails. I fixed it by check two directions and row/col.

Here is the test code and images:
```
Mat img;
vector<Point2f> corners;
auto size = cv::Size(6, 6);
img = imread("D:/tmp/a.jpg", 0);
std::cout<<cv::findChessboardCorners(img, size, corners)<<"\n";
std::cout << corners.size() << "\n";
img = imread("D:/tmp/b.jpg", 0);
std::cout<<cv::findChessboardCorners(img, size, corners)<<"\n";
std::cout << corners.size() << "\n";
img = imread("D:/tmp/c.jpg", 0);
std::cout<<cv::findChessboardCorners(img, size, corners)<<"\n";
std::cout << corners.size() << "\n";
```
![a](https://github.com/opencv/opencv/assets/92856207/0dc7f5bf-7637-4333-9a9f-ec4ede790027)
a
![b](https://github.com/opencv/opencv/assets/92856207/39793485-ca0c-44c0-b44d-a593d36c1888)
b
![c](https://github.com/opencv/opencv/assets/92856207/2e7789c8-cfa5-438c-9530-2862a8a3741f)
c
2024-07-24 15:29:13 +03:00
Alexander Smorkalov 14f9d71dd0 Merge pull request #25941 from cudawarped:cuda_fix_default_cuda_arch_with_cmp0104
`cuda`: prevent `CMAKE_CUDA_ARCHITECTURES` default from overiding OpenCV architecture search (issue 25920)
2024-07-24 10:54:17 +03:00
Vincent Rabaud c16927605d Merge pull request #25938 from vrabaud:charuco
Properly check markers when none are provided. #25938

CharucoDetectorImpl::detectBoard finds temporary markers when none are provided but those are discarded when
charucoDetectorImpl::checkBoard is called.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-24 09:27:07 +03:00
Vincent Rabaud e1b57057bf Avoid future integer overflow in _OutputArray::create
This fix is useless in 4.x and fixes harmless overflows in 5.x
This belongs to 4.x as it is closer to the intended meaning.
2024-07-23 16:22:55 +02:00
Alexander Smorkalov 93b607dc72 Merge pull request #25942 from asmorkalov:as/hal_report
Report used HAL to test log and xml
2024-07-23 15:39:18 +03:00
Alexander Smorkalov 38cfea981f Report used HAL to test log and xml 2024-07-23 12:03:39 +03:00
Rostislav Vasilikhin 44c814e334 Merge pull request #25936 from savuor:rv/hal_dot
HAL for dot product added #25936

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-23 08:06:15 +03:00
cudawarped 012d853474 cuda: prevent CMAKE_CUDA_ARCHITECTURES default from overiding OpenCV architecture search 2024-07-22 18:00:36 +03:00
cudawarped c9b57819b1 Merge pull request #25874 from cudawarped:videoio_ffmpeg_fix_encapsulate_ts
videoio: fix cv::VideoWriter with FFmpeg encapsulation timestamps #25874

Fix https://github.com/opencv/opencv/issues/25873 by modifying `cv::VideoWriter` to use provided presentation indices (pts).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-22 17:41:39 +03:00
Alexander Alekhin 89dd4ee137 Merge pull request #25935 from eplankin:icv_update_2021.12 2024-07-22 11:57:44 +00:00
Kumataro db3654ef51 python: prefer cv::Mat over cv::UMat in python binding 2024-07-21 10:00:29 +09:00
Yuantao Feng 23b244d3a3 Merge pull request #25881 from fengyuentau:dnn/cpu/optimize_activations_with_v_exp
dnn: optimize activations with v_exp #25881

Merge with https://github.com/opencv/opencv_extra/pull/1191.

This PR optimizes the following activations:

- [x] Swish
- [x] Mish
- [x] Elu
- [x] Celu
- [x] Selu
- [x] HardSwish

### Performance (Updated on 2024-07-18)

#### AmLogic A311D2 (ARM Cortex A73 + A53)

```
Geometric mean (ms)

            Name of Test              activations activations.patch activations.patch
                                                                              vs
                                                                         activations
                                                                          (x-factor)
Celu::Layer_Elementwise::OCV/CPU        115.859          27.930              4.15
Elu::Layer_Elementwise::OCV/CPU          27.846          27.003              1.03
Gelu::Layer_Elementwise::OCV/CPU         0.657           0.602               1.09
HardSwish::Layer_Elementwise::OCV/CPU    31.885          6.781               4.70
Mish::Layer_Elementwise::OCV/CPU         35.729          32.089              1.11
Selu::Layer_Elementwise::OCV/CPU         61.955          27.850              2.22
Swish::Layer_Elementwise::OCV/CPU        30.819          26.688              1.15
```

#### Apple M1

```
Geometric mean (ms)

               Name of Test                activations activations.patch activations.patch
                                                                                   vs
                                                                              activations
                                                                               (x-factor)
Celu::Layer_Elementwise::OCV/CPU              16.184          2.118               7.64
Celu::Layer_Elementwise::OCV/CPU_FP16         16.280          2.123               7.67
Elu::Layer_Elementwise::OCV/CPU               9.123           1.878               4.86
Elu::Layer_Elementwise::OCV/CPU_FP16          9.085           1.897               4.79
Gelu::Layer_Elementwise::OCV/CPU              0.089           0.081               1.11
Gelu::Layer_Elementwise::OCV/CPU_FP16         0.086           0.074               1.17
HardSwish::Layer_Elementwise::OCV/CPU         1.560           1.555               1.00
HardSwish::Layer_Elementwise::OCV/CPU_FP16    1.536           1.523               1.01
Mish::Layer_Elementwise::OCV/CPU              6.077           2.476               2.45
Mish::Layer_Elementwise::OCV/CPU_FP16         5.990           2.496               2.40
Selu::Layer_Elementwise::OCV/CPU              11.351          1.976               5.74
Selu::Layer_Elementwise::OCV/CPU_FP16         11.533          1.985               5.81
Swish::Layer_Elementwise::OCV/CPU             4.687           1.890               2.48
Swish::Layer_Elementwise::OCV/CPU_FP16        4.715           1.873               2.52
```

#### Intel i7-12700K

```
Geometric mean (ms)

            Name of Test              activations activations.patch activations.patch
                                                                    vs
                                                               activations
                                                                (x-factor)
Celu::Layer_Elementwise::OCV/CPU        17.106       3.560         4.81
Elu::Layer_Elementwise::OCV/CPU          5.064       3.478         1.46
Gelu::Layer_Elementwise::OCV/CPU         0.036       0.035         1.04
HardSwish::Layer_Elementwise::OCV/CPU    2.914       2.893         1.01
Mish::Layer_Elementwise::OCV/CPU         3.820       3.529         1.08
Selu::Layer_Elementwise::OCV/CPU        10.799       3.593         3.01
Swish::Layer_Elementwise::OCV/CPU        3.651       3.473         1.05
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-19 16:03:19 +03:00
Alexander Smorkalov 26714f9a34 Merge pull request #25905 from tintou:tintou/glib-cleanup
highgui: Make GThread mandatory with GTK
2024-07-19 14:42:32 +03:00
HAN Liutong b5ea32158a Merge pull request #25883 from hanliutong:rvv-intrin-upgrade
Upgrade RISC-V Vector intrinsic and cleanup the obsolete RVV backend. #25883

This patch upgrade RISC-V Vector intrinsic from `v0.10` to `v0.12`/`v1.0`:
- Update cmake check and options;
- Upgrade RVV implement for Universal Intrinsic;
- Upgrade RVV optimized DNN kernel.
- Cleanup the obsolete RVV backend (`intrin_rvv.hpp`) and compatable header file.

With this patch, RVV backend require Clang 17+ or GCC 14+ (which means `__riscv_v_intrinsic >= 12000`, see https://godbolt.org/z/es7ncETE3)

This patch is test with Clang 17.0.6 (require extra `-DWITH_PNG=OFF` due to ICE), Clang 18.1.8 and GCC 14.1.0 on QEMU and k230 (with `--gtest_filter="*hal_*"`).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-19 11:41:42 +03:00
_Ayaka 4dd54bbec9 Merge pull request #25898 from Octopus136:issue-25853
Add a check for src == dst in ocl warpTransform #25898

As mentioned in #25853, when doing WarpAffine with Mat and UMat respectively, if you force the use of the in-place operation (so that src and dst are passed the same variables), Mat produces the correct results, but UMat produces unexpected results.

Obviously in-place operations are not possible with this transformation. When Mat performs the operation, if dst and src are the same variable, the function inherently makes a copy of src without telling the user. 

https://github.com/opencv/opencv/blob/74b50c7af05c91194469a1f059f971dff00ef889/modules/imgproc/src/imgwarp.cpp#L2831-L2834

So I did the same check in UMat, but I'm not sure if it's appropriate, should we just do a copy operation without telling the user (even if the user thinks he's doing an in-place operation), or should we throw an exception to indicate that we shouldn't pass in two same variables here?

The possible reason for this problem is that there is a create function here, so it gives the developer the false impression that this create function has allocated new memory for dst, however it does not.

https://github.com/opencv/opencv/blob/74b50c7af05c91194469a1f059f971dff00ef889/modules/imgproc/src/imgwarp.cpp#L2607-L2609

Because by the time the check is done here, the function has returned back.

https://github.com/opencv/opencv/blob/74b50c7af05c91194469a1f059f971dff00ef889/modules/core/src/umatrix.cpp#L668-L675

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-19 09:08:19 +03:00
eplankin a5dacb5bed Update IPP integration 2024-07-18 08:16:19 -07:00
Alexander Smorkalov d892c7b142 Merge pull request #25934 from hanliutong:rvv-clang-toolchain-fix
Fix cmake macro in `riscv64-clang.toolchain.cmake`.
2024-07-18 18:12:11 +03:00
Andy-SAKN 325da2b2f4 Merge pull request #25907 from Andy-SAKN:Andy-SAKN-add_orbbec
Add tutorial on using Orbbec 3D cameras (UVC) #25907

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-18 17:27:00 +03:00
zihaomu 1125755345 Merge pull request #25931 from zihaomu:clean_code
code clean #25931

Align code and remove redundant CMake code

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-18 17:18:37 +03:00
Liutong HAN 32d81a8bae Fix toolchain. 2024-07-18 13:47:53 +00:00
Alexander Smorkalov 0020831414 Merge pull request #25927 from yeatse:fix-swift-name
Resolve Swift method name conflicts by adding missing namespace
2024-07-18 11:17:49 +03:00
Alexander Smorkalov 0c2da1dc9b Merge pull request #25914 from r-barnes:4.x
throw() -> noexcept
2024-07-17 19:21:16 +03:00
Yang Chao bcce38c05a fix: resolve Swift method name conflicts by adding missing namespace 2024-07-18 00:20:17 +08:00
Richard Barnes d1505693dd throw() -> noexcept 2024-07-16 06:36:52 -07:00
Alexander Smorkalov 53a5b85d9f Merge pull request #25913 from asmorkalov:as/chessboard_debug_logs
Use CV_LOG_DEBUG for debug logging in chessboard detector.
2024-07-16 08:28:28 +03:00
Alexander Smorkalov 7b176d898b Merge pull request #25912 from asmorkalov:as/round_pair_f64_restore
Restored removed test_round_pair_f64 test after PR 24941
2024-07-15 20:30:49 +03:00
Alexander Smorkalov 9ebf387850 Merge pull request #25911 from asmorkalov:as/HAL_fast_GaussianBlur
Post-merge fixes for algorithm hint API
2024-07-15 20:30:24 +03:00
Corentin Noël da078c4b75 highgui: Make GThread mandatory with GTK
The GThread API is available since more than 11 years with GLib, it is now safe
to assume that it is always available.
2024-07-15 16:30:39 +02:00
Yoshiki Obinata 4842043c6a Merge pull request #25822 from mqcmd196:gtk3-gl-support
Support OpenGL GTK3 New API #25822

Fixes #20001

GSoC2024 Project

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2024-07-15 17:06:30 +03:00
Alexander Smorkalov c53c2f6844 Use CV_LOG_DEBUG for debug logging in chessboard detector. 2024-07-15 16:11:27 +03:00
j3knk e90935e81c Merge pull request #25824 from j3knk:calib3d/fix_projectpoints
calib3d: fix Rodrigues CV_32F and CV_64F type mismatch in projectPoints #25824

Fixes #25318

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2024-07-15 15:10:08 +03:00
Alexander Smorkalov a6b8ea892b Post-merge fixes for algorithm hint API. 2024-07-15 14:44:03 +03:00
Alexander Smorkalov 04f9e3cd4f Restored removed test_round_pair_f64 test afetr PR 24941. 2024-07-15 12:59:12 +03:00
Alexander Smorkalov 81f33103fd Merge pull request #25903 from Kumataro:fixC3767
core: hal: avoid to use _tzcnt_u32 for ARM64EC
2024-07-15 10:07:21 +03:00
Kumataro e906f0f3b3 core: hal: disable _tzcnt_u32 for ARM64EC 2024-07-13 11:16:45 +09:00
Alexander Smorkalov 15783d6598 Merge pull request #25792 from asmorkalov:as/HAL_fast_GaussianBlur
Added flag to GaussianBlur for faster but not bit-exact implementation #25792

Rationale:
Current implementation of GaussianBlur is almost always bit-exact. It helps to get predictable results according platforms, but prohibits most of approximations and optimization tricks.

The patch converts `borderType` parameter to more generic `flags` and introduces `GAUSS_ALLOW_APPROXIMATIONS` flag to allow not bit-exact implementation. With the flag IPP and generic HAL implementation are called first. The flag naming and location is a subject for discussion.

Replaces https://github.com/opencv/opencv/pull/22073
Possibly related issue: https://github.com/opencv/opencv/issues/24135

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-12 15:03:33 +03:00
Vincent Rabaud 3ff97c5580 Merge pull request #25899 from vrabaud:move_no_except
Mark cv::Mat(Mat&&) as noexcept #25899

This fixes https://github.com/opencv/opencv/issues/25065

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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      Patch to opencv_extra has the same branch name.
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2024-07-12 14:41:17 +03:00
lamiayous 78195bc3df Merge pull request #25817 from lamiayous:ly/extend_onnxrt_gapi_backend_handle_i32_i64_type
Handling I32/I64 data types in G-API ONNX back-end #25817

### Pull Request Readiness Checklist

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- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2024-07-12 11:38:43 +03:00
Alexander Smorkalov c6ace77e21 Merge pull request #25893 from fengyuentau:core/fix_v_erf
core: fix compilation problem with v_erf
2024-07-11 12:57:18 +03:00
Alexander Smorkalov 50f1ea5c9c Merge pull request #25897 from richard28039:4.x
Fix the mistake about yolov10 inference step in dnn_yolo.markdown
2024-07-11 12:56:56 +03:00
Alexander Smorkalov dc2ce2b856 Merge pull request #25888 from sturkmen72:haveImageReader
Update documentation cv::haveImageReader(), cv::haveImageWriter()
2024-07-11 08:51:03 +03:00
richard28039 a9d8d45df4 fix the mistake 2024-07-11 03:15:52 +08:00
Suleyman TURKMEN 63b9cbc2d0 Update imgcodecs.hpp 2024-07-10 15:24:37 +03:00
Alexander Smorkalov 7dcc305301 Merge pull request #25894 from mshabunin:fix-test-templ-match
imgproc: reduce template sizes in templMatch test
2024-07-10 12:40:48 +03:00
Aliaksei Urbanski 35ca2f78d6 Merge pull request #25880 from Jamim:fix/cuda-no-fp16
Fix CUDA for old GPUs without FP16 support #25880

Fixes #21461

~This is a build-time solution that reflects https://github.com/opencv/opencv/blob/4.10.0/modules/dnn/src/cuda4dnn/init.hpp#L68-L82.~
~We shouldn't add an invalid target while building with `CUDA_ARCH_BIN` < 53.~
_(please see [this discussion](https://github.com/opencv/opencv/pull/25880#discussion_r1668074505))_

This is a run-time solution that basically reverts [these lines](https://github.com/opencv/opencv/commit/d0fe6ad10967fd2b007a4cf83b00d6f8446deb42#diff-757c5ab6ddf2f99cdd09f851e3cf17abff203aff4107d908c7ad3d0466f39604L245-R245).

I've debugged these changes, [coupled with other fixes](https://github.com/gentoo/gentoo/pull/37479), on [Gentoo Linux](https://www.gentoo.org/) and [related tests passed](https://github.com/user-attachments/files/16135391/opencv-4.10.0.20240708-224733.log.gz) on my laptop with `GeForce GTX 960M`.

Alternative solution:
  - #21462

_Best regards!_

### Pull Request Readiness Checklist

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- [x] There is a reference to the original bug report and related work
- [ ] `n/a` There is accuracy test, performance test and test data in opencv_extra repository, if applicable
- [ ] `n/a` The feature is well documented and sample code can be built with the project CMake
2024-07-10 12:39:30 +03:00
Maksim Shabunin 06b9db6a71 imgproc: reduce template sizes in templMatch test 2024-07-10 11:06:25 +03:00
fengyuentau 11fde3bb89 fix 2024-07-10 14:48:45 +08:00
Mironov Arseny b964943517 Merge pull request #25607 from Fest1veNapkin:imgproc_approx_bounding_poly
Add a new function that approximates the polygon bounding a convex hull with a certain number of sides #25607

merge PR with <https://github.com/opencv/opencv_extra/pull/1179>

This PR is based on the paper [View Frustum Optimization To Maximize Object’s Image Area](https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=1fbd43f3827fffeb76641a9c5ab5b625eb5a75ba).

# Problem
I needed to reduce the number of vertices of the convex hull so that the additional area was minimal, andall vertices of the original contour enter the new contour.

![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/efac35f6-b8f0-46ec-91e4-60800432620c)

![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/2292d9d7-1c10-49c9-8489-23221b4b28f7)

# Description
Initially in the contour of n vertices, at each stage we consider the intersection points of the lines formed by each adjacent edges. Each of these intersection points will form a triangle with vertices through which lines pass. Let's choose a triangle with the minimum area and merge the two vertices at the intersection point. We continue until there are more vertices than the specified number of sides of the approximated polygon.
![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/b87b21c4-112e-450d-a776-2a120048ca30)

# Complexity:
Using a std::priority_queue or std::set  time complexity is **(O(n\*ln(n))**, memory **O(n)**,
n - number of vertices in convex hull.

count of sides - the number of points by which we must reduce.
![image](https://github.com/Fest1veNapkin/opencv/assets/98156294/31ad5562-a67d-4e3c-bdc2-29f8b52caf88)

## Comment
If epsilon_percentage more 0, algorithm can return more values than _side_.
Algorithm returns OutputArray. If OutputArray.type() equals 0, algorithm returns values with InputArray.type().
New test uses image which are not in opencv_extra, needs to be added.

### Pull Request Readiness Checklist

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      Patch to opencv_extra has the same branch name.
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2024-07-09 17:11:23 +03:00
Alexander Smorkalov 8d935e2184 Merge pull request #25885 from Sourav6971:4.x
Update imgcodecs.hpp
2024-07-09 10:00:20 +03:00
Sourav Kumar e962395565 Update imgcodecs.hpp 2024-07-09 06:53:16 +05:30
Yuantao Feng e3858cc5a3 Merge pull request #25147 from fengyuentau:dnn/elementwise_layers/speedup
* added v_erf and implemented gelu acceleration via vectorization

* remove anonymous v_erf and use v_erf from intrin_math

* enable perf for ov and cuda backend
2024-07-08 14:24:36 +03:00
Dmitry Yurov 31b308f882 Merge pull request #25808 from DmitryYurov:bug-25806-checkerboard-marker-black-tile
Enable checkerboard detection with a central / corner marker on a black tile #25808

This pull request closes the issue #25806.

The issue doesn't require any documentation - it's quite intuitive that the detection result shouldn't depend on the color of the marker's tile.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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2024-07-08 12:36:56 +03:00
Alexander Smorkalov a54de7d55e Merge pull request #25877 from Kumataro:fix25875
calib3d: doc: enable line breaks in formulas
2024-07-08 08:37:13 +03:00
Kumataro 0b5b40179c calib3d: doc: enable line breaks in formulas 2024-07-07 07:15:28 +09:00
Amir Hassan d7a237aefc Merge pull request #22836 from kallaballa:opengl_cmake_warning_linux
Explicitly prefer legacy GL in cmake on Linux? #22836

Pertaining Issue: #22835

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2024-07-05 16:39:01 +03:00
Yuantao Feng d30b9450c1 Merge pull request #25872 from fengyuentau:core/v_erf
core: add v_erf #25872

This patch adds v_erf, which is needed by https://github.com/opencv/opencv/pull/25147.

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch
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2024-07-05 15:46:01 +03:00
Suleyman TURKMEN cdd8395f68 add getFrameCount() 2024-07-05 14:43:30 +03:00
Alexander Smorkalov 88b28ee2a0 Merge pull request #25844 from dietmar:dont_rely_on_nb_frames
Don't rely on nb_frames to be correct
2024-07-05 11:23:20 +03:00
Vincent Rabaud dfbd18e9aa Merge pull request #25864 from vrabaud:legacy
Make sure all the lines of a JPEG are read #25864

In case of corrupted JPEG, imread would still return a JPEG of the proper size (as indicated by the header) but with some uninitialized values. I do not have a short reproducer I can add as a test as this was found by our fuzzers.

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
2024-07-05 08:53:28 +03:00
Maksim Shabunin 94b7a2d320 Merge pull request #25842 from mshabunin:cpp-imgproc-test-4.x
imgproc: remove C-API usage from tests #25842

Final cleanup will be done in 5.x after regular merge.

Some tests have been reworked, some required only slight modifications.
2024-07-04 16:29:08 +03:00
Abduragim Shtanchaev efbc9f0b66 Merge pull request #25861 from Abdurrahheem:ash/torch-attention-export-fix-4x
Merge pull request #25861 from Abdurrahheem:ash/torch-attention-export-fix-4x

Support for Unflatten operation requred by Attention layer - 4.x #25861

### Pull Request Readiness Checklist

All test data and models for PR are located [#1190](https://github.com/opencv/opencv_extra/pull/1190)

This PR fixes issue reised when importing batched  vanilla `Attention` layer from `PyTorch` via ONNX. Currently batched version of `Attention` layer in PyTorch [has unflatten operation inside](https://github.com/pytorch/pytorch/blob/e3b3431c4203e9eeead48f96d4afd462f0b81de5/torch/nn/functional.py#L5500C17-L5500C31). `unflatten` operation causes issue in `reshape` layer (see the Reshape_2 in the graph below) due to incorrect output of `slice` layer. This PR particularly fixes `slice` and `concat` layers to handle `unflatten` operation. 


<img width="673" alt="image" src="https://github.com/opencv/opencv/assets/44877829/5b612b31-657a-47f1-83a4-0ac35a950abd">


See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-07-04 16:25:31 +03:00
Alexander Smorkalov 9f5139b575 Merge pull request #25865 from asmorkalov:as/gtk_2_opengl_fix
Hacked gtkglext search in cmake
2024-07-04 16:20:51 +03:00
alexlyulkov 20e72b0b30 Merge pull request #25856 from alexlyulkov:al/android-optional-kotlin
Fixed kotlin requirement in Android build.gradle #25856

Now OpenCV Android SDK doesn't always require kotlin plugin. Kotlin code is compiled only if the application uses kotlin plugin.

Fixes #24663

### Pull Request Readiness Checklist

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      Patch to opencv_extra has the same branch name.
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2024-07-04 13:26:37 +03:00
Yuantao Feng 5510718381 Merge pull request #25810 from fengyuentau:python/fix_parsing_3d_mat_in_dnn
python: attempts to fix 3d mat parsing problem for dnn #25810

Fixes https://github.com/opencv/opencv/issues/25762 https://github.com/opencv/opencv/issues/23242
Relates https://github.com/opencv/opencv/issues/25763 https://github.com/opencv/opencv/issues/19091

Although `cv.Mat` has already been introduced to workaround this problem, people do not know it and it kind of leads to confusion with `numpy.array`. This patch adds a "switch" to turn off the auto multichannel feature when the API is from cv::dnn::Net (more specifically, `setInput`) and the parameter is of type `Mat`. This patch only leads to changes of three places in `pyopencv_generated_types_content.h`:

```.diff
static PyObject* pyopencv_cv_dnn_dnn_Net_setInput(PyObject* self, PyObject* py_args, PyObject* kw)
{
...
- pyopencv_to_safe(pyobj_blob, blob, ArgInfo("blob", 0)) &&
+ pyopencv_to_safe(pyobj_blob, blob, ArgInfo("blob", 8)) &&
...
}

// I guess we also need to change this as one-channel blob is expected for param
static PyObject* pyopencv_cv_dnn_dnn_Net_setParam(PyObject* self, PyObject* py_args, PyObject* kw)
{
...
- pyopencv_to_safe(pyobj_blob, blob, ArgInfo("blob", 0)) )
+ pyopencv_to_safe(pyobj_blob, blob, ArgInfo("blob", 8)) )
...
- pyopencv_to_safe(pyobj_blob, blob, ArgInfo("blob", 0)) )
+ pyopencv_to_safe(pyobj_blob, blob, ArgInfo("blob", 8)) )
...
}
```

Others are unchanged, e.g. `dnn_SegmentationModel` and stuff like that.

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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      Patch to opencv_extra has the same branch name.
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2024-07-04 08:33:20 +03:00
Alexander Smorkalov e644ab0b40 Merge pull request #25858 from asmorkalov:as/kleidicv_on
Enable KleidiCV for Android aarch64 by default.
2024-07-04 08:30:08 +03:00
Alexander Smorkalov e28c6eb3b6 Fixed gtkglext search in cmake. 2024-07-03 19:22:06 +03:00
Alexander Smorkalov 99c0a96a2f Enable KleidiCV for Android aarch64 by default. 2024-07-03 15:17:51 +03:00
Alexander Smorkalov 53f51275e4 Merge pull request #25857 from asmorkalov:as/yolov9_harrowing_conversion
Fixed narrowing conversion warning with MSVC compiler.
2024-07-03 12:42:29 +03:00
Alexander Smorkalov 25fb55601b Fixed narrowing conversion warning with MSVC compiler. 2024-07-03 12:10:31 +03:00
Alexander Smorkalov aac8bc877a Merge pull request #25799 from asmorkalov:as/HAL_GaussianBlurBinomial_Carotene
Use Carotene implementation of TEGRA_GaussianBlurBinomial 3x3 and 5x5 on ARM
2024-07-03 11:24:36 +03:00
Wanli bef6c110a4 Merge pull request #25781 from WanliZhong:v_log
Add support for v_log (Natural Logarithm) #25781

This PR aims to implement `v_log(v_float16 x)`, `v_log(v_float32 x)` and `v_log(v_float64 x)`. 
Merged after https://github.com/opencv/opencv/pull/24941

TODO:
- [x] double and half float precision
- [x] tests for them
- [x] doc to explain the implementation

### Pull Request Readiness Checklist

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- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-03 10:59:44 +03:00
zihaomu 934e6899f8 Merge pull request #25809 from zihaomu:imread_rgb_flag
imgcodecs: Add rgb flag for imread and imdecode #25809

Try to `imread` images by RGB to save R-B swapping costs.

## How to use it?
```
img_rgb = cv2.imread("PATH", IMREAD_COLOR_RGB) # OpenCV decode the image by RGB format.
```

## TODO
- [x] Fix the broken code
- [x] Add imread rgb test
- [x] Speed test of rgb mode.

## Performance test

| file name | IMREAD_COLOR  | IMREAD_COLOR_RGB |
| --------- | ------ | --------- |
| jpg01     | 284 ms | 277 ms    |
| jpg02     | 376 ms | 366 ms    |
| png01     | 62 ms  | 60 ms     |
| Png02     | 97 ms  | 94 ms     |

Test with [image_test.zip](https://github.com/user-attachments/files/15982949/image_test.zip)
```.cpp
string img_path = "/Users/mzh/work/data/image_test/png02.png";
int loop = 20;

TickMeter t;

double t0 = 10000;
for (int i = 0; i < loop; i++)
{
    t.reset();
    t.start();
    img_bgr = imread(img_path, IMREAD_COLOR);
    t.stop();

    if (t.getTimeMilli() < t0) t0 = t.getTimeMilli();
}

std::cout<<"bgr time = "<<t0<<std::endl;

t0 = 10000;
for (int i = 0; i < loop; i++)
{
    t.reset();
    t.start();
    img_rgb = imread(img_path, IMREAD_COLOR_RGB);
    t.stop();
    if (t.getTimeMilli() < t0) t0 = t.getTimeMilli();
}
std::cout<<"rgb time = "<<t0<<std::endl;
``` 
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-03 10:58:25 +03:00
Yuantao Feng a7fd9446cf Merge pull request #25630 from fengyuentau:nary-multi-thread
dnn: parallelize nary elementwise forward implementation & enable related conformance tests #25630

This PR introduces the following changes:

- [x] Parallelize binary forward impl
- [x] Parallelize ternary forward impl (Where)
- [x] Parallelize nary (Operator that can take >=1 operands)
- [x] Enable conformance tests if workable

## Performance

### i7-12700K, RAM 64GB, Ubuntu 22.04

```
Geometric mean (ms)

                Name of Test                     opencv        opencv        opencv
                                                  perf          perf          perf
                                              core.x64.0606 core.x64.0606 core.x64.0606
                                                                               vs
                                                                             opencv
                                                                              perf
                                                                          core.x64.0606
                                                                           (x-factor)
NCHW_C_sum::Layer_NaryEltwise::OCV/CPU           16.116        11.161         1.44
NCHW_NCHW_add::Layer_NaryEltwise::OCV/CPU        17.469        11.446         1.53
NCHW_NCHW_div::Layer_NaryEltwise::OCV/CPU        17.531        11.469         1.53
NCHW_NCHW_equal::Layer_NaryEltwise::OCV/CPU      28.653        13.682         2.09
NCHW_NCHW_greater::Layer_NaryEltwise::OCV/CPU    21.899        13.422         1.63
NCHW_NCHW_less::Layer_NaryEltwise::OCV/CPU       21.738        13.185         1.65
NCHW_NCHW_max::Layer_NaryEltwise::OCV/CPU        16.172        11.473         1.41
NCHW_NCHW_mean::Layer_NaryEltwise::OCV/CPU       16.309        11.565         1.41
NCHW_NCHW_min::Layer_NaryEltwise::OCV/CPU        16.166        11.454         1.41
NCHW_NCHW_mul::Layer_NaryEltwise::OCV/CPU        16.157        11.443         1.41
NCHW_NCHW_pow::Layer_NaryEltwise::OCV/CPU        163.459       15.234         10.73
NCHW_NCHW_ref_div::Layer_NaryEltwise::OCV/CPU    10.880        10.868         1.00
NCHW_NCHW_ref_max::Layer_NaryEltwise::OCV/CPU    10.947        11.058         0.99
NCHW_NCHW_ref_min::Layer_NaryEltwise::OCV/CPU    10.948        10.910         1.00
NCHW_NCHW_ref_mul::Layer_NaryEltwise::OCV/CPU    10.874        10.871         1.00
NCHW_NCHW_ref_sum::Layer_NaryEltwise::OCV/CPU    10.971        10.920         1.00
NCHW_NCHW_sub::Layer_NaryEltwise::OCV/CPU        17.546        11.462         1.53
NCHW_NCHW_sum::Layer_NaryEltwise::OCV/CPU        16.175        11.475         1.41
NHWC_C::Layer_NaryEltwise::OCV/CPU               11.339        11.333         1.00
NHWC_H::Layer_NaryEltwise::OCV/CPU               16.154        11.102         1.46
```

### Apple M1, RAM 16GB, macOS 14.4.1

```
Geometric mean (ms)

                Name of Test                     opencv          opencv             opencv      
                                                  perf            perf               perf       
                                              core.m1.0606 core.m1.0606.patch core.m1.0606.patch
                                                                                      vs        
                                                                                    opencv      
                                                                                     perf       
                                                                                 core.m1.0606   
                                                                                  (x-factor)    
NCHW_C_sum::Layer_NaryEltwise::OCV/CPU           28.418          3.768               7.54       
NCHW_NCHW_add::Layer_NaryEltwise::OCV/CPU        6.942           5.679               1.22       
NCHW_NCHW_div::Layer_NaryEltwise::OCV/CPU        5.822           5.653               1.03       
NCHW_NCHW_equal::Layer_NaryEltwise::OCV/CPU      5.751           5.628               1.02       
NCHW_NCHW_greater::Layer_NaryEltwise::OCV/CPU    5.797           5.599               1.04       
NCHW_NCHW_less::Layer_NaryEltwise::OCV/CPU       7.272           5.578               1.30       
NCHW_NCHW_max::Layer_NaryEltwise::OCV/CPU        5.777           5.562               1.04       
NCHW_NCHW_mean::Layer_NaryEltwise::OCV/CPU       5.819           5.559               1.05       
NCHW_NCHW_min::Layer_NaryEltwise::OCV/CPU        5.830           5.574               1.05       
NCHW_NCHW_mul::Layer_NaryEltwise::OCV/CPU        5.759           5.567               1.03       
NCHW_NCHW_pow::Layer_NaryEltwise::OCV/CPU       342.260          74.655              4.58       
NCHW_NCHW_ref_div::Layer_NaryEltwise::OCV/CPU    8.338           8.280               1.01       
NCHW_NCHW_ref_max::Layer_NaryEltwise::OCV/CPU    8.359           8.309               1.01       
NCHW_NCHW_ref_min::Layer_NaryEltwise::OCV/CPU    8.412           8.295               1.01       
NCHW_NCHW_ref_mul::Layer_NaryEltwise::OCV/CPU    8.380           8.297               1.01       
NCHW_NCHW_ref_sum::Layer_NaryEltwise::OCV/CPU    8.356           8.323               1.00       
NCHW_NCHW_sub::Layer_NaryEltwise::OCV/CPU        6.818           5.561               1.23       
NCHW_NCHW_sum::Layer_NaryEltwise::OCV/CPU        5.805           5.570               1.04       
NHWC_C::Layer_NaryEltwise::OCV/CPU               3.834           4.817               0.80       
NHWC_H::Layer_NaryEltwise::OCV/CPU               28.402          3.771               7.53
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-03 10:09:05 +03:00
Abduragim Shtanchaev a8d1373919 Merge pull request #25794 from Abdurrahheem:ash/yolov10-support
Add sample support of YOLOv9 and YOLOv10 in OpenCV #25794

This PR adds sample support of  [`YOLOv9`](https://github.com/WongKinYiu/yolov9) and [`YOLOv10`](https://github.com/THU-MIG/yolov10/tree/main)) in OpenCV. Models for this test are located in this [PR](https://github.com/opencv/opencv_extra/pull/1186). 

**Running YOLOv10 using OpenCV.** 
1. In oder to run `YOLOv10` one needs to cut off postporcessing with dynamic shapes from torch and then convert it to ONNX. If someone is looking for ready solution, there is [this forked branch](https://github.com/Abdurrahheem/yolov10/tree/ash/opencv-export) from official YOLOv10.  Particularty follow this proceduce. 

```bash
git clone git@github.com:Abdurrahheem/yolov10.git
conda create -n yolov10 python=3.9
conda activate yolov10
pip install -r requirements.txt
python export_opencv.py --model=<model-name> --imgsz=<input-img-size>
```
By default `model="yolov10s"` and `imgsz=(480,640)`. This will generate file `yolov10s.onnx`, which can be use for inference in OpenCV

2. For inference part on OpenCV.  one can use `yolo_detector.cpp` [sample](https://github.com/opencv/opencv/blob/4.x/samples/dnn/yolo_detector.cpp). If you have followed above exporting procedure, then you can use following command to run the model. 

``` bash
build opencv from source 
cd build 
./bin/example_dnn_yolo_detector --model=<path-to-yolov10s.onnx-file> --yolo=yolov10 --width=640 --height=480 --input=<path-to-image> --scale=0.003921568627 --padvalue=114
```
If you do not specify `--input` argument, OpenCV will grab first camera that is avaliable on your platform. 
For more deatils on how to run the `yolo_detector.cpp` file see this [guide](https://docs.opencv.org/4.x/da/d9d/tutorial_dnn_yolo.html#autotoc_md443) 


**Running YOLOv9 using OpenCV**

1. Export model following [official guide](https://github.com/WongKinYiu/yolov9)of the YOLOv9 repository. Particularly you can do following for converting.

```bash
git clone https://github.com/WongKinYiu/yolov9.git
cd yolov9
conda create -n yolov9 python=3.9
conda activate yolov9
pip install -r requirements.txt
wget https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-t-converted.pt
python export.py --weights=./yolov9-t-converted.pt --include=onnx --img-size=(480,640) 
```

This will generate <yolov9-t-converted.onnx> file.

2.  Inference on OpenCV.

```bash
build opencv from source 
cd build 
./bin/example_dnn_yolo_detector --model=<path-to-yolov9-t-converted.onnx> --yolo=yolov9 --width=640 --height=480 --scale=0.003921568627 --padvalue=114 --path=<path-to-image>
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-02 18:26:34 +03:00
Alexander Smorkalov 939cb58cd6 Merge pull request #25845 from kaingwade:orbbecsdk_mac_off
Set using Orbbec SDK on MacOS OFF by default.
2024-07-02 14:02:42 +03:00
Alexander Smorkalov 2799c74d50 Use Carotene implementation of TEGRA_GaussianBlurBinomial 3x3 and 5x5 on ARM. 2024-07-02 12:50:09 +03:00
Wanli 6e1864e3fc Merge pull request #24941 from WanliZhong:v_exp
Add support for v_exp (exponential) #24941

This PR aims to implement `v_exp(v_float16 x)`, `v_exp(v_float32 x)` and `v_exp(v_float64 x)`.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-07-02 12:32:49 +03:00
kaingwade 883faf8871 Set using Orbbec SDK on MacOS OFF by default. 2024-07-02 17:23:20 +08:00
Alexander Smorkalov 75339a5528 Merge pull request #25800 from xndcn:patch-2
photo: doc: Fix window range for fastNlMeansDenoisingMulti
2024-07-02 10:26:56 +03:00
Alexander Smorkalov 35d9e8ef5c Merge pull request #25841 from asmorkalov:as/cudnn9_version_check
Fixed CuDNN runtime version check for CuDNN 9+.
2024-07-02 10:05:04 +03:00
Dietmar Schabus fd5efabdd9 Don't rely on nb_frames to be correct 2024-07-02 06:45:05 +02:00
Alexander Smorkalov 3d74d646d8 Fixed CuDNN runtime version check for CuDNN 9+. 2024-07-01 17:33:24 +03:00
WU Jia 39a7b3d186 Merge pull request #25813 from kaingwade:orbbec-astra
Update the tutorial of using Orbbec Astra cameras #25813

This PR is the backport of Orbbec OpenNI-based Astra camera related changes from #25410 to the 4.x branch, which includes updating the tutorial of Orbbec Astra cameras, renaming `orbbec_astra.cpp`.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-07-01 10:55:35 +03:00
Alexander Smorkalov 930af15f47 Merge pull request #25834 from thiru31:4.x
Fix: compilation Issue on ARM64 (msys2 clangarm)
2024-07-01 10:34:36 +03:00
Alexander Smorkalov 34ed88d7fb Merge pull request #25836 from dan-masek:fix_win32_topmost_toggle
Fix #25833: The correct way to disable top-most state is with HWND_NOTOPMOST, not HWND_TOP.
2024-07-01 10:30:23 +03:00
Alexander Smorkalov 25609ef5fd Merge pull request #25838 from tyler92:fix-fd-leak
Fix file descriptor leak in HDR decoder
2024-07-01 10:11:27 +03:00
Alexander Smorkalov 996ed0a2eb Merge pull request #25829 from asmorkalov:as/force_legal_requirements
Force contributors to define Apache 2.0 license for the new PRs.
2024-07-01 09:51:07 +03:00
Thirumalai Nagalingam ce1d840adf Fix: compilation Issue on ARM64 (msys2 clangarm)
Added a definition for M_PI in the code to resolve a compilation error encountered when building OpenCV on the MSYS2 environment. The M_PI constant was not defined, causing the compilation to fail.
2024-06-30 18:58:56 +00:00
Mikhail Khachayants bbf65a166e Fix file descriptor leak in HDR decoder 2024-06-30 18:43:04 +03:00
Dan Mašek 1e5407a9ba Fix #25833: The correct way to disable top-most state is with HWND_NOTOPMOST, not HWND_TOP. 2024-06-29 21:39:49 +02:00
Alexander Smorkalov b7c9221b80 Force contributors to define Apache 2.0 license for the new PRs. 2024-06-28 16:54:14 +03:00
Alexander Smorkalov be00247ca0 Merge pull request #25820 from asmorkalov:as/HAL_non_strict_equalizeHist
Relax equalizeHist test for some HAL implementations
2024-06-28 16:51:15 +03:00
Alexander Smorkalov 855f6cfdd4 Merge pull request #25827 from asmorkalov:as/exclude_ios_platform_header
Exclude cap_ios.h from installation where it's not needed
2024-06-28 14:54:15 +03:00
Alexander Smorkalov 310169490a Exclude cap_ios.h from installation where it's not needed. 2024-06-28 14:11:25 +03:00
Alexander Smorkalov aab7239f38 Merge pull request #25826 from asmorkalov:as/clean_download_models_deps
Drop redundant dependency from download_models.py
2024-06-28 14:01:29 +03:00
Alexander Smorkalov 4500eb937f Drop redundant dependency from download_models.py 2024-06-28 10:45:52 +03:00
Maxim Milashchenko 786726719f Merge pull request #25793 from MaximMilashchenko:hal_rvv
Fixed build error hal_rvv_071 #25793

Fixed bug with enabling vector header when vector extension is disabled (RVV=OFF) in hal_rvv_071
2024-06-28 09:00:16 +03:00
Alexander Smorkalov 284a79446a Merge pull request #25816 from FantasqueX:remove-unused-brow-1
Remove unused brow variable
2024-06-28 08:56:37 +03:00
Alexander Smorkalov ee2b0f9d63 Relax equalizeHist test for some HAL implementations. 2024-06-27 19:14:30 +03:00
Alexander Smorkalov 445022682e Merge pull request #25789 from asmorkalov:as/HAL_meanStdDev_tails
Fill mean and stdDev tails with zeros for HAL branch in meanStdDev #25789

as it's done for other branches.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-27 19:11:05 +03:00
Alexander Smorkalov 204d62ae12 Merge pull request #25815 from FantasqueX:remove-unused-variable-1
Remove unused variables in rgb2hsv_b simd
2024-06-27 12:58:51 +03:00
kozinove efa4d9176a Merge pull request #25661 from itlab-vision:framebuffer
Highgui backend on top of Framebuffer #25661

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ x] I agree to contribute to the project under Apache 2 License.
- [ x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ x] The feature is well documented and sample code can be built with the project CMake

Environment variables used:
OPENCV_UI_BACKEND - you need to add the value “FB”
OPENCV_UI_PRIORITY_FB - requires priority indication
OPENCV_HIGHGUI_FB_MODE={FB|XVFB|EMU} - mode of using Framebuffer (default "FB")
- FB - Linux Framebuffer
- XVFB - virtual Framebuffer
- EMU - emulation (images are not displayed)
OPENCV_HIGHGUI_FB_DEVICE (FRAMEBUFFER) - path to the Framebuffer file (default "/dev/fb0").

Examples of using:

sudo OPENCV_UI_BACKEND=FB ./opencv_test_highgui
sudo OPENCV_UI_PRIORITY_FB=1111 ./opencv_test_highgui
OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=EMU ./opencv_test_highgui
sudo OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=FB ./opencv_test_highgui

export DISPLAY=:99
Xvfb $DISPLAY -screen 0 1024x768x24 -fbdir /tmp/ -f /tmp/user.xvfb.auth&
sudo -u sipeed XAUTHORITY=/tmp/user.xvfb.auth x11vnc -display $DISPLAY -listen localhost&
DISPLAY=:0 gvncviewer localhost&

FRAMEBUFFER=/tmp/Xvfb_screen0 OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=XVFB ./opencv_test_highgui
2024-06-26 15:31:19 +03:00
Letu Ren 2179186a51 Remove unused variables in rgb2hsv_b simd 2024-06-26 19:07:53 +08:00
Alexander Smorkalov 76a1d26bcd Merge pull request #25805 from TFiFiE:patch-1
Replace use of "eval()" with "getattr()".
2024-06-25 13:26:28 +03:00
richard28039 11c69bb171 Merge pull request #25775 from richard28039:4.x
Add yolov8l.onnx to samples #25775

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Hello, I noticed that the /samples/dnn/models.yml said it should be used for all yolov8 models, but the YOLOv8l is not included in the file, so I added it to the file, thanks.
![image](https://github.com/opencv/opencv/assets/89371302/7a7b0090-ef4c-478d-8f24-7d99260fe0c9)
2024-06-24 10:28:38 +03:00
TFiFiE 8be2056cff Replace use of "eval()" with "getattr()". 2024-06-22 17:53:47 +02:00
Alexander Smorkalov 2028998e00 Merge pull request #25803 from Kumataro/fix25802
cmake: support 10+ minor version(10,11,...)
2024-06-22 18:39:54 +03:00
Kumataro d8c7debe52 cmake: support 10+ minor version(10,11,...) 2024-06-22 12:23:25 +09:00
Yuantao Feng 3f13ce797b Merge pull request #25779 from fengyuentau:dnn/fix_onnx_depthtospace
dnn: add DepthToSpace and SpaceToDepth #25779

We are working on updating WeChat QRCode module. One of the new models is a fully convolutional model and hence it should be able to run with different input shapes. However,  it has an operator `DepthToSpace`, which is parsed as a subgraph of `Reshape -> Permute -> Reshape` with a fixed shape getting during parsing. The subgraph itself is not a problem, but the true problem is the subgraph with a fixed input and output shape regardless input changes. This does not allow the model to run with different input shapes.

Solution is to add a dedicated layer for DepthtoSpace and SpaceToDepth.

Backend support:

- [x] CPU
- [x] CUDA
- [x] OpenCL
- [x] OpenVINO
- [x] CANN
- [x] TIMVX
-  ~Vulkan~ (missing fundamental tools, like permutation and reshape)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-21 19:28:22 +03:00
Alexander Smorkalov acd16e384f Merge pull request #25773 from eplankin:eplankin/fix_layout
fix for IPP
2024-06-21 16:51:30 +03:00
xndcn 5cfa44d2a2 photo: doc: Fix window range for fastNlMeansDenoisingMulti 2024-06-21 21:04:22 +08:00
Ujjayant Kadian 5dc1b39e4c Merge pull request #25791 from ujjayant-kadian:uk/extend-gapi-onnx-params-arbitrary-session-options
Extending G-API onnx::Params to pass arbitrary session options #25791

### Pull Request Readiness Checklist

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      Patch to opencv_extra has the same branch name.
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2024-06-21 14:34:26 +03:00
Simon Kämpe 7ef42d7706 Merge pull request #25751 from simonkampe:fix-eigen-rowmajor
Add missing cv2eigen overload #25751

Fixes #16606

Add overloads to cv2eigen to handle eigen matrices of type
Eigen::Matrix<Tp_, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-20 20:05:06 +03:00
Alexander Smorkalov 57984e689b Merge pull request #25788 from asmorkalov:as/bilateralFilter_test
Extended bilateralFilter test to cover more branches
2024-06-20 10:27:15 +03:00
Alexander Smorkalov 0cba7020a1 Merge pull request #25787 from asmorkalov:as/lut_fp16
Added LUT for FP16 and accuracy test
2024-06-20 08:59:48 +03:00
Alexander Smorkalov a102b24285 Added LUT for FP16 and accuracy test. 2024-06-19 16:16:11 +03:00
Alexander Smorkalov e7108f48ab Extended bilateralFilter test to cover more branches. 2024-06-19 15:35:03 +03:00
Alexander Smorkalov d1b643a05a Merge pull request #25780 from asmorkalov:as/gapi_arm_overflow
Fixed input buffer read overflow in vectorized G-API convertTo implementation
2024-06-19 08:13:34 +03:00
Rostislav Vasilikhin 766f3f5fc4 Merge pull request #25746 from savuor:rv/hwasan_flag_release
Android SDK build script: HWAsan flags added for release mode #25746

A quick fix for #25718

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-18 18:15:41 +03:00
Alexander Smorkalov 553c111c5a Fixed input buffer read overflow in vectorized G-API convertTo implementation. 2024-06-18 15:46:42 +03:00
Yuantao Feng e3884a9ea8 Merge pull request #25771 from fengyuentau:vittrack_black_input
video: fix vittrack in the case where crop size grows until out-of-memory when the input is black #25771

Fixes https://github.com/opencv/opencv/issues/25760

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2024-06-18 12:48:28 +03:00
Alexander Smorkalov 0fac5d52bc Merge pull request #25778 from asmorkalov:as/svgfig_update
Svgfig library update to version 1.0.1 as it uses BSD-3 license.
2024-06-18 12:47:01 +03:00
Alexander Smorkalov 60819979d4 Svgfig library update to version 1.0.1 as it uses BSD-3 license. 2024-06-18 11:13:32 +03:00
Letu Ren b9d2ecb72f Remove unused brow variable 2024-06-17 18:50:53 +08:00
eplankin 860b688cdd Enable build with both old and new layouts of IPP 2024-06-17 03:26:01 -07:00
Dmitry Kurtaev 24907f35a3 Merge pull request #25757 from dkurt:d.kurtaev/opencv_js_tests_old_emsdk
Use onRuntimeInitialized with OpenCV.js Node tests #25757

### Pull Request Readiness Checklist

tests: https://github.com/opencv/ci-gha-workflow/pull/174

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-17 12:46:10 +03:00
Alexander Smorkalov 4bf95ac2df Merge pull request #25602 from asmorkalov:as/gstreamer_alpha_channel
Handle BGRA streams in GStreamer backend
2024-06-16 18:18:03 +03:00
Alexander Smorkalov 0a12c7d9de Merge pull request #25725 from asmorkalov:as/intersectConvexConvex_fix
Fixed result buffer overflow in intersectConvexConvex_ for non-convex input
2024-06-16 17:07:01 +03:00
Rostislav Vasilikhin 7ff531b8ab Merge pull request #25759 from savuor:rv/equalizeHist_tests
Accuracy tests for equalizeHist() added #25759

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2024-06-15 12:44:36 +03:00
Alexander Smorkalov 88c6c7d9f7 Handle BGRA sterams in GStreamer backend 2024-06-11 12:21:05 +03:00
Dmitry Kurtaev a03b813167 Merge pull request #25732 from dkurt:opencv_js_tests_update
Fix OpenCV.js tests #25732

### Pull Request Readiness Checklist

* Firefox tests passed

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-11 12:01:51 +03:00
Alexander Smorkalov 8e9307074c Merge pull request #25738 from rlexmann:imgproc_fix_divSpectrums
Fix arithmetics in CV_32F branch of divSpectrums()
2024-06-11 11:16:23 +03:00
Alexander Smorkalov 2629688d11 Merge pull request #25706 from cudawarped:fix_cuda_first_python_dep
`cuda`: Add missing python CUDA dependency when CUDA is a first class language
2024-06-11 10:49:14 +03:00
Rostislav Vasilikhin 3ea7ed9ebf Merge pull request #25718 from savuor:rv/hwasan_flag
Android SDK build script: HWAsan support added #25718

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-11 10:12:38 +03:00
Alexander Smorkalov 6623c62f56 Fixed result buffer overflow in intersectConvexConvex_ for non-convex input. 2024-06-10 19:38:35 +03:00
Robert Lexmann e1dba2c6d2 Perform arithmetics in CV_32F branch of divSpectrums() with doubles to prevent infs/NaNs (+ corresponding test). 2024-06-10 15:47:29 +02:00
Pierre Chatelier bdf986ee51 Merge pull request #25726 from chacha21:remap_relative_doc
Relates to #24603

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-10 11:09:25 +03:00
Maxim Smolskiy cc6f85e1ba Merge pull request #25427 from MaximSmolskiy:make-finding-corner-neighbor-symmetrical-in-ChessBoardDetector-findQuadNeighbors
Make finding corner neighbor symmetrical in ChessBoardDetector::findQuadNeighbors #25427

### Pull Request Readiness Checklist

The basic idea of finding pair of corners neighbors is to find best candidate for first corner and check if first corner quite good candidate for its best candidate. And we test first corner for its best candidate less than best candidate for first corner.

Idea of changes is to make finding corner neighbor symmetrical - find best candidate for first corner, find best candidate for second corner and match them as pair iff they are both best candidates for each other.

Additional advantage - it simplifies code and removes some code duplication.

I tested this PR with benchmark
```
python3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard
```

There are minor changes in results
```
cell_img_size = 100 (default)

before

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             1.000000                        360               360                           0.630345
                    _none_none_gaussNoise             0.833333                        300               360                           0.623405
                          _none_none_none             1.000000                        360               360                           0.631517
                    _none_none_strongBlur             1.000000                        360               360                           0.630316
                   _none_undistorted_blur             1.000000                        360               360                           0.671232
             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619
                   _none_undistorted_none             1.000000                        360               360                           0.673669
             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257
                   _perspective_none_blur             1.000000                       1080              1080                           0.588694
             _perspective_none_gaussNoise             0.805556                        870              1080                           0.599312
                   _perspective_none_none             1.000000                       1080              1080                           0.591063
             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604
            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081
      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625704
            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191
      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618
             _strongPerspective_none_blur             1.000000                        360               360                           0.482934
       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551
             _strongPerspective_none_none             1.000000                        360               360                           0.480290
       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080
      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458
_strongPerspective_undistorted_gaussNoise             0.250000                         90               360                           0.448713
      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412
_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791
                                      all             0.904167                      13020             14400                           0.600512
Total detected time:  139.65614900000008 sec

after

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             1.000000                        360               360                           0.630345
                    _none_none_gaussNoise             0.750000                        270               360                           0.636279
                          _none_none_none             1.000000                        360               360                           0.631517
                    _none_none_strongBlur             1.000000                        360               360                           0.630316
                   _none_undistorted_blur             1.000000                        360               360                           0.671232
             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619
                   _none_undistorted_none             1.000000                        360               360                           0.673669
             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257
                   _perspective_none_blur             1.000000                       1080              1080                           0.588694
             _perspective_none_gaussNoise             0.888889                        960              1080                           0.594106
                   _perspective_none_none             1.000000                       1080              1080                           0.591064
             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604
            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081
      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625703
            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191
      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618
             _strongPerspective_none_blur             1.000000                        360               360                           0.482934
       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551
             _strongPerspective_none_none             1.000000                        360               360                           0.480290
       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080
      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458
_strongPerspective_undistorted_gaussNoise             0.333333                        120               360                           0.422259
      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412
_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791
                                      all             0.910417                      13110             14400                           0.599746
Total detected time:  142.40333700000005 sec

----------------------------------------------------------------------------------------------------------------------------------------------

cell_img_size = 10

before

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             0.991667                        357               360                           4.905091
                    _none_none_gaussNoise             0.750000                        270               360                           5.215633
                          _none_none_none             1.000000                        360               360                           4.943304
                    _none_none_strongBlur             0.916667                        330               360                           3.806217
                   _none_undistorted_blur             0.994444                        358               360                           5.220915
             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443
                   _none_undistorted_none             0.997222                        359               360                           4.340208
             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331
                   _perspective_none_blur             0.629630                        680              1080                           4.825401
             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425
                   _perspective_none_none             0.971296                       1049              1080                           3.920378
             _perspective_none_strongBlur             0.000000                          0              1080                                NaN
            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335
      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195
            _perspective_undistorted_none             0.750000                        810              1080                           3.604110
      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN
             _strongPerspective_none_blur             0.000000                          0               360                                NaN
       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN
             _strongPerspective_none_none             0.083333                         30               360                           2.382460
       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN
_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN
_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN
                                      all             0.539792                       7773             14400                           4.209964
Total detected time:  2.6968930000000015 sec

after

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             0.991667                        357               360                           4.905091
                    _none_none_gaussNoise             0.750000                        270               360                           5.215633
                          _none_none_none             1.000000                        360               360                           4.943304
                    _none_none_strongBlur             0.916667                        330               360                           3.806217
                   _none_undistorted_blur             0.994444                        358               360                           5.220915
             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443
                   _none_undistorted_none             0.997222                        359               360                           4.340208
             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331
                   _perspective_none_blur             0.629630                        680              1080                           4.825401
             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425
                   _perspective_none_none             0.999074                       1079              1080                           3.865684
             _perspective_none_strongBlur             0.000000                          0              1080                                NaN
            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335
      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195
            _perspective_undistorted_none             0.750000                        810              1080                           3.604110
      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN
             _strongPerspective_none_blur             0.000000                          0               360                                NaN
       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN
             _strongPerspective_none_none             0.000000                          0               360                                NaN
       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN
_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN
_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN
                                      all             0.539792                       7773             14400                           4.208308
Total detected time:  2.7706419999999983 sec
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-10 09:42:56 +03:00
Alexander Smorkalov 3282954c2e Merge pull request #25723 from mshabunin:fix-ts-rng
test: use cv::theRNG instead of own generator
2024-06-07 20:41:11 +03:00
Dmitry Kurtaev 3700f9e1e9 Merge pull request #25709 from dkurt:wrap_addLayer
* Wrap dnn addLayer
* Add typing stubs
2024-06-07 20:39:44 +03:00
Maksim Shabunin ef3303716e test: use cv::theRNG instead of own generator 2024-06-07 13:36:11 +03:00
Alexander Smorkalov bef5a87680 Merge pull request #25722 from AleksandrPanov:update_testSeveralBoardsWithCustomIds
updated testSeveralBoardsWithCustomIds to enable in 5.x
2024-06-06 20:01:33 +03:00
Maxim Milashchenko adcb070396 Merge pull request #25307 from MaximMilashchenko:halrvv071
* added hal for cv_hal_cvtBGRtoBGR rvv 0.7.1
2024-06-06 15:31:59 +03:00
Alexander Panov cbc08514fd updated testSeveralBoardsWithCustomIds to enable in 5.x 2024-06-06 14:22:58 +03:00
Alexander Smorkalov cbf3b1187d Merge pull request #25720 from VadimLevin:dev/vlevin/floodFill-optional-mask
fix: mark floodFill mask as optional in Python typing stubs
2024-06-06 13:36:00 +03:00
Alexander Smorkalov 0d1ed49d2a Merge pull request #25703 from mshabunin:fix-imread-arg
imgproc: fixed imread with output image argument
2024-06-06 12:50:30 +03:00
Alexander Smorkalov a5d9c29b12 Merge pull request #25716 from alexlyulkov:al/mediandk-fix
Added potential fix for Android H264 Encoding Bug
2024-06-06 12:48:20 +03:00
Vadim Levin 5dd7b5f0e5 fix: mark floodFill mask as optional in Python typing stubs 2024-06-06 11:51:10 +03:00
Alexander Lyulkov 99f32f17b4 Added potential fix for Android H264 Encoding Bug 2024-06-05 19:17:49 +03:00
Maksim Shabunin b77c74b6fc imgproc: fixed imread with output image argument, minor refactoring, fixes in HDR 2024-06-04 19:52:22 +03:00
cudawarped 9c05b27ba0 cuda: Add missing python CUDA dependency when CUDA is a first class language 2024-06-04 18:58:09 +03:00
Alexander Smorkalov 92b588f30b Merge pull request #25702 from asmorkalov:as/gapi_disable_steaming_again
Disable more G-API streaming test due to unstability.
2024-06-04 13:01:21 +03:00
Alexander Smorkalov 2bb8b2b173 Disable more G-API streaming test due to unstability. 2024-06-04 11:07:22 +03:00
Alexander Smorkalov d8f0838fa3 Merge pull request #25701 from keanep:I25700
Update cv::FaceRecognizerSF class documentation
2024-06-04 11:03:31 +03:00
Patrick Keane 3f26664e8d ISSUE-25700 update cv::FaceRecognizerSF class documentation 2024-06-03 17:29:41 -04:00
Alexander Alekhin 337c183b9d Merge tag '4.10.0' 2024-06-02 18:24:06 +00:00
Alexander Smorkalov 71d3237a09 Release 4.10.0 2024-06-02 14:41:07 +03:00
Rostislav Vasilikhin a7e53aa184 Merge pull request #25671 from savuor:rv/arithm_extend_tests
Tests added for mixed type arithmetic operations #25671

### Changes
* added accuracy tests for mixed type arithmetic operations
    _Note: div-by-zero values are removed from checking since the result is implementation-defined in common case_
* added perf tests for the same cases
* fixed a typo in `getMulExtTab()` function that lead to dead code

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-02 14:28:06 +03:00
Kumataro 1bd5ca1ebe Merge pull request #25686 from Kumataro:fix25674
Suppress build warnings for GCC14 #25686

Close #25674

### Pull Request Readiness Checklist

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2024-06-02 14:14:04 +03:00
Vincent Rabaud 1db6a8a1f3 Merge pull request #25665 from vrabaud:jacobian
Fix Homography computation. #25665

The bug was introduced in https://github.com/opencv/opencv/pull/25308

I am sorry I do not have a proper test.

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2024-05-31 20:51:58 +03:00
CNOCycle 98b8825031 Merge pull request #25613 from CNOCycle:tflite/ops
Support Global_Pool_2D ops in .tflite model #25613

### Pull Request Readiness Checklist

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1180

This PR adds support for `GlobalAveragePooling2D` and `GlobalMaxPool2D` on the TFlite backend. When the k`eep_dims` option is enabled, the output is a 2D tensor, necessitating the inclusion of an additional flatten layer. Additionally, the names of these layers have been updated to match the output tensor names generated by `generate.py` from the opencv_extra repository.

- [X] I agree to contribute to the project under Apache 2 License.
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      Patch to opencv_extra has the same branch name.
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2024-05-31 19:31:21 +03:00
Maksim Shabunin 29f91a08d5 Merge pull request #25680 from mshabunin:fix-approx-2
Reverted contour approximation behavior #25680

Related issue #25663 - revert new function behavior despite it returning different result than the old one (reverts PR  #25672).
Also added Coverity issue fix.
2024-05-31 19:28:03 +03:00
Alexander Smorkalov 08107957d8 Merge pull request #25682 from fengyuentau:calib3d/lapack_fix_calib3d
calib3d: fix data type for ilp64 lapack
2024-05-31 19:24:26 +03:00
fengyuentau ca035e6dae fix type for ilp64 api 2024-05-31 22:47:57 +08:00
Alexander Panov 472eba324a Merge pull request #25673 from AleksandrPanov:fix_charuco_board_markers
fixed marker generation in charuco board #25673

When generating  Charuco board markers in `generateImage()`, a problem occurs as in https://github.com/opencv/opencv/issues/24806, https://github.com/opencv/opencv/pull/24873:

In low resolution:
![charucoImg_before_fix2](https://github.com/opencv/opencv/assets/22337800/aab7b443-2d2a-4287-b869-708ac5976ea5)
In medium resolution:
![charucoImg_before_fix](https://github.com/opencv/opencv/assets/22337800/8c21ae42-d9c8-4cb5-9fcc-7814dfc07b80)

This PR fixed this problems:
![charucoImg_after_fix2](https://github.com/opencv/opencv/assets/22337800/93256dbb-8544-46eb-be78-844234e42ca9)
![charucoImg_after_fix](https://github.com/opencv/opencv/assets/22337800/f4d6794e-bee9-4ce4-8f9b-67a40800cbe5)

The test checks the inner and outer borders of the Aruco markers. In the outer border of Aruco marker, all pixels should be white. In the inner border of Aruco marker, all pixels should be black.
![image](https://github.com/opencv/opencv/assets/22337800/010a9c64-e03c-4239-9ac9-2cda9170793b)


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2024-05-31 17:03:24 +03:00
Ujjayant Kadian dcce2b8b24 Merge pull request #25662 from ujjayant-kadian:uk/port-gapi-onnxrt-backend-into-v2-api
Port G-API ONNXRT backend into V2 API #25662

### Pull Request Readiness Checklist

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- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-05-31 17:01:46 +03:00
Abduragim Shtanchaev d7f04a9d33 Merge pull request #25660 from Abdurrahheem:ash/fix-slice-empty-input
Slice layer parser fix to support empty input case #25660

This PR fixes Slice Layer's parser to handle empty input cases (cases with initializer)
It fixed the issue rased in #24838

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-05-31 13:13:36 +03:00
Alexander Smorkalov f4ebf7c0a6 Merge pull request #25679 from asmorkalov:as/HAL_min_max_idx_fix
Fixed offset computation for ND case in MinMaxIdx HAL.
2024-05-31 11:06:59 +03:00
Alexander Smorkalov 9ed1d6730f Fixed offset computation for ND case in MinMaxIdx HAL. 2024-05-31 10:09:34 +03:00
Yuantao Feng 7e9ef4db86 Merge pull request #25625 from fengyuentau:core/deploy_fix_lapack_ilp64
core: deployment compatibility for old mac after Accelerate New LAPACK fix #25625

Attempt to fix https://github.com/opencv/opencv/pull/24804#discussion_r1609957747

We may need to explicitly add build option `-DCMAKE_OSX_DEPLOYMENT_TARGET=12.0` or environment variable (`export MACOSX_DEPLOYMENT_TARGET=12.0`) for mac builds (python package most probably) on builders with new macOS (>= 13.3).

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-05-30 17:03:07 +03:00
Alexander Smorkalov 3e3ee106fb Merge pull request #25658 from asmorkalov:as/variadic_tuple
Added branch with variadic version of Trust tuple
2024-05-30 15:47:31 +03:00
Alexander Smorkalov 2624929ec6 Merge pull request #25672 from mshabunin:fix-approx
imgproc: fix contour approximation, added test
2024-05-30 14:13:26 +03:00
Alexander Smorkalov 79af357cf4 Merge pull request #25668 from vrabaud:legacy
Have the findContours_legacy overload call findContours_legacy.
2024-05-30 12:41:39 +03:00
Maksim Shabunin 8709115d9a imgproc: fix contour approximation, added test 2024-05-30 12:23:15 +03:00
Vincent Rabaud e7bf07786d Have the findContours_legacy overload call findContours_legacy. 2024-05-29 16:41:32 +02:00
Junyan721113 d9421ac148 Merge pull request #25167 from plctlab:rvp_3rdparty
3rdparty: NDSRVP - A New 3rdparty Library with Optimizations Based on RISC-V P Extension v0.5.2 - Part 1: Basic Functions #25167

# Summary

### Previous context
From PR #24556: 

>> * As you wrote, the P-extension differs from RVV thus can not be easily implemented via Universal Intrinsics mechanism, but there is another HAL mechanism for lower-level CPU optimizations which is used by the [Carotene](https://github.com/opencv/opencv/tree/4.x/3rdparty/carotene) library on ARM platforms. I suggest moving all non-dnn code to similar third-party component. For example, FAST algorithm should allow such optimization-shortcut: see https://github.com/opencv/opencv/blob/4.x/modules/features2d/src/hal_replacement.hpp
>>   Reference documentation is here:
>>   
>>   * https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html
>>   * https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html
>>   * https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html
>>   * Carotene library is turned on here: https://github.com/opencv/opencv/blob/8bbf08f0de9c387c12afefdb05af7780d989e4c3/CMakeLists.txt#L906-L911

> As a test outside of this PR, A 3rdparty component called ndsrvp is created, containing one of the non-dnn code (integral_SIMD), and it works very well.
> All the non-dnn code in this PR have been removed, currently this PR can be focused on dnn optinizations.
> This HAL mechanism is quite suitable for rvp optimizations, all the non-dnn code is expected to be moved into ndsrvp soon.

### Progress

#### Part 1 (This PR)

- [Core](https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html)
- [x] Element-wise add and subtract
- [x] Element-wise minimum or maximum
- [x] Element-wise absolute difference
- [x] Bitwise logical operations
- [x] Element-wise compare
- [ImgProc](https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html)
- [x] Integral
- [x] Threshold
- [x] WarpAffine
- [x] WarpPerspective
- [Features2D](https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html)

#### Part 2 (Next PR)

**Rough Estimate. Todo List May Change.**

- [Core](https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html)
- [ImgProc](https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html)
- smaller remap HAL interface
- AdaptiveThreshold
- BoxFilter
- Canny
- Convert
- Filter
- GaussianBlur
- MedianBlur
- Morph
- Pyrdown
- Resize
- Scharr
- SepFilter
- Sobel
- [Features2D](https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html)
- FAST

### Performance Tests

The optimization does not contain floating point opreations.

**Absolute Difference**

Geometric mean (ms)

|Name of Test|opencv perf core Absdiff|opencv perf core Absdiff|opencv perf core Absdiff vs opencv perf core Absdiff (x-factor)|
|---|:-:|:-:|:-:|
|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC1)|23.104|5.972|3.87|
|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC1)|39.500|40.830|0.97|
|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC3)|69.155|15.051|4.59|
|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC3)|118.715|120.509|0.99|
|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC4)|93.001|19.770|4.70|
|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC4)|161.136|160.791|1.00|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC1)|69.211|15.140|4.57|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC1)|118.762|119.263|1.00|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC3)|212.414|44.692|4.75|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC3)|367.512|366.569|1.00|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC4)|285.337|59.708|4.78|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC4)|490.395|491.118|1.00|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC1)|158.827|33.462|4.75|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC1)|273.503|273.668|1.00|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC3)|484.175|100.520|4.82|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC3)|828.758|829.689|1.00|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC4)|648.592|137.195|4.73|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC4)|1116.755|1109.587|1.01|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC1)|648.715|134.875|4.81|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC1)|1115.939|1113.818|1.00|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC3)|1944.791|413.420|4.70|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC3)|3354.193|3324.672|1.01|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC4)|2594.585|553.486|4.69|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC4)|4473.543|4438.453|1.01|

**Bitwise Operation**

Geometric mean (ms)

|Name of Test|opencv perf core Bit|opencv perf core Bit|opencv perf core Bit vs opencv perf core Bit (x-factor)|
|---|:-:|:-:|:-:|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC1)|22.542|4.971|4.53|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC1)|90.210|19.917|4.53|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC3)|68.429|15.037|4.55|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC3)|280.168|59.239|4.73|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC4)|90.565|19.735|4.59|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC4)|374.695|79.257|4.73|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC1)|67.824|14.873|4.56|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC1)|279.514|59.232|4.72|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC3)|208.337|44.234|4.71|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC3)|851.211|182.522|4.66|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC4)|279.529|59.095|4.73|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC4)|1132.065|244.877|4.62|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC1)|155.685|33.078|4.71|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC1)|635.253|137.482|4.62|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC3)|474.494|100.166|4.74|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC3)|1907.340|412.841|4.62|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC4)|635.538|134.544|4.72|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC4)|2552.666|556.397|4.59|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC1)|634.736|136.355|4.66|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC1)|2548.283|561.827|4.54|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC3)|1911.454|421.571|4.53|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC3)|7663.803|1677.289|4.57|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC4)|2543.983|562.780|4.52|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC4)|10211.693|2237.393|4.56|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC1)|22.341|4.811|4.64|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC1)|89.975|19.288|4.66|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC3)|67.237|14.643|4.59|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC3)|276.324|58.609|4.71|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC4)|89.587|19.554|4.58|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC4)|370.986|77.136|4.81|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC1)|67.227|14.541|4.62|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC1)|276.357|58.076|4.76|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC3)|206.752|43.376|4.77|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC3)|841.638|177.787|4.73|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC4)|276.773|57.784|4.79|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC4)|1127.740|237.472|4.75|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC1)|153.808|32.531|4.73|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC1)|627.765|129.990|4.83|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC3)|469.799|98.249|4.78|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC3)|1893.591|403.694|4.69|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC4)|627.724|129.962|4.83|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC4)|2529.967|540.744|4.68|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC1)|628.089|130.277|4.82|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC1)|2521.817|540.146|4.67|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC3)|1905.004|404.704|4.71|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC3)|7567.971|1627.898|4.65|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC4)|2531.476|540.181|4.69|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC4)|10075.594|2181.654|4.62|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC1)|22.566|5.076|4.45|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC1)|90.391|19.928|4.54|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC3)|67.758|14.740|4.60|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC3)|279.253|59.844|4.67|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC4)|90.296|19.802|4.56|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC4)|373.972|79.815|4.69|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC1)|67.815|14.865|4.56|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC1)|279.398|60.054|4.65|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC3)|208.643|45.043|4.63|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC3)|850.042|180.985|4.70|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC4)|279.363|60.385|4.63|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC4)|1134.858|243.062|4.67|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC1)|155.212|33.155|4.68|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC1)|634.985|134.911|4.71|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC3)|474.648|100.407|4.73|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC3)|1912.049|414.184|4.62|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC4)|635.252|132.587|4.79|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC4)|2544.471|560.737|4.54|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC1)|634.574|134.966|4.70|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC1)|2545.129|561.498|4.53|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC3)|1910.900|419.365|4.56|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC3)|7662.603|1685.812|4.55|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC4)|2548.971|560.787|4.55|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC4)|10201.407|2237.552|4.56|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC1)|22.718|4.961|4.58|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC1)|91.496|19.831|4.61|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC3)|67.910|15.151|4.48|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC3)|279.612|59.792|4.68|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC4)|91.073|19.853|4.59|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC4)|374.641|79.155|4.73|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC1)|67.704|15.008|4.51|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC1)|279.229|60.088|4.65|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC3)|208.156|44.426|4.69|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC3)|849.501|180.848|4.70|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC4)|279.642|59.728|4.68|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC4)|1129.826|242.880|4.65|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC1)|155.585|33.354|4.66|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC1)|634.090|134.995|4.70|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC3)|474.931|99.598|4.77|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC3)|1910.519|413.138|4.62|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC4)|635.026|135.155|4.70|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC4)|2560.167|560.838|4.56|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC1)|634.893|134.883|4.71|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC1)|2548.166|560.831|4.54|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC3)|1911.392|419.816|4.55|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC3)|7646.634|1677.988|4.56|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC4)|2560.637|560.805|4.57|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC4)|10227.044|2249.458|4.55|

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2024-05-28 14:25:53 +03:00
Alexander Smorkalov 1668203a1c Added branch with variadic version of Trust tuple 2024-05-28 11:31:13 +03:00
Danial Javady 05e48605a0 Merge pull request #25412 from ZelboK:update-cudnn-to-9
Refactor DNN module to build with cudnn 9 #25412

A lot of APIs that are currently being used in the dnn module have been removed in cudnn 9. They were deprecated in 8. 
This PR updates said code accordingly to the newer API.

Some key notes:
1) This is my first PR. I am new to openCV. 
2) `opencv_test_core` tests pass
3) On a 3080, cuda 12.4(should be irrelevant since I didn't build the `opencv_modules`, gcc 11.4, WSL 2. 
4) For brevity I will avoid including macro code that will allow for older versions of cudnn to build.

I was unable to get the tests working for `opencv_test_dnn` and `opencv_perf_dnn`. The errors I get are of the following: 
```
 OpenCV tests: Can't find required data file: dnn/onnx/conformance/node/test_reduce_prod_default_axes_keepdims_example/model.onnx in function 'findData'
" thrown in the test body.
```
So before I spend more time investigating I was hoping to get a maintainer to point me in the right direction here. I would like to run these tests and confirm things are working as intended. I may have missed some details.


### Pull Request Readiness Checklist

relevant issue
(https://github.com/opencv/opencv/issues/24983

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2024-05-28 09:54:08 +03:00
Kumataro b6593517c4 Merge pull request #25647 from Kumataro:fix25646
imgcodecs: support IMWRITE_JPEG_LUMA/CHROMA_QUALITY with internal libjpeg-turbo #25647

Close #25646

- increase JPEG_LIB_VERSION for internal libjpeg-turbo from 62 to 70
- add log when using IMWRITE_JPEG_LUMA/CHROMA_QUALITY with JPEG_LIB_VERSION<70
- add document IMWRITE_JPEG_LUMA/CHROMA_QUALITY requests JPEG_LIB_VERSION >= 70

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2024-05-27 17:33:43 +03:00
Alexander Smorkalov c5976f7865 Merge pull request #25641 from vrabaud:lsh
Prevent signed integer overflow in LshTable
2024-05-27 15:55:07 +03:00
Alexander Smorkalov f1890e384b Merge pull request #25650 from sturkmen72:libjpeg-turbo
minor cosmetic changes
2024-05-27 13:32:08 +03:00
Suleyman TURKMEN 8955a27577 minor cosmetic changes 2024-05-26 22:50:47 +03:00
Rostislav Vasilikhin 1fa96b161f Merge pull request #25616 from savuor:rv/yuv_docs
YUV codes for cvtColor: descriptions added #25616

This PR contains descriptions for various RGB <-> YUV color conversion codes as well as detailed comments in the source code.

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2024-05-25 13:12:03 +03:00
Alexander Smorkalov d97df262f6 Merge pull request #25623 from asmorkalov:as/jpegturbo_3.0.3
Libjpeg-turbo update to version 3.0.3 #25623

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2024-05-25 13:03:12 +03:00
John Stechschulte 7b31cc7314 Merge pull request #24897 from JStech:fix-handeye
Fix handeye #24897

Fixes to the hand-eye calibration methods, from #24871.

The Tsai method is sensitive to poses separated by small rotations, so I filter those out.

The Horaud and Daniilidis methods use quaternions (and dual quaternions), where $q$ and $-q$ represent the same transform.
However, these methods depend on the gripper motion and camera motion having the same sign for the real part.
The fix was simply to multiply the (dual) quaternions by -1 if their real part is negative.

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- [ ] ~~The feature is well documented and sample code can be built with the project CMake~~ N/A
2024-05-25 11:28:13 +03:00
Rostislav Vasilikhin cc49aee04e Merge pull request #25634 from savuor:rv/boxfilter_tests
Tests for cvSmooth -> tests for boxFilter #25634

fixes #25448

### Motivation
The obsolete function `cvSmooth` has two modes in which it calls `cv::boxFilter()` inside with and without normalization.
This function is covered by tests exactly for that modes.
This means that by replacing `cvSmooth` call by `cv::boxFilter()` we will leave the coverage untouched (but more obvious) and remove that obsolete function from tests.

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2024-05-25 11:25:50 +03:00
Rostislav Vasilikhin b267f1791c Merge pull request #25633 from savuor:rv/rotate_tests
Tests for cv::rotate() added #25633

fixes #25449

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2024-05-25 11:23:31 +03:00
Alexander Smorkalov f17b122512 Merge pull request #25638 from bebuch:patch-2
Support VS 2022 17.1x.y in OpenCVDetectCXXCompiler.cmake
2024-05-25 11:10:13 +03:00
Christine Poerschke 8b2783e9ff replace lena.jpg in find-existing-file tests 2024-05-25 08:53:33 +01:00
Vincent Rabaud 7e3f6875c1 Prevent signed integer overflow in LshTable
This change keeps everything as size_t and the expression is valid
because maxk_block > 0 in hte loop.
2024-05-24 23:47:36 +02:00
Alexander Smorkalov ba28b7d6df Merge pull request #25636 from FantasqueX:use-left-arrow-1
Use leftarrow in color conversion Doc
2024-05-24 20:49:57 +03:00
Benjamin Buch f85818ba6f Support VS 2022 17.1x.y in OpenCVDetectCXXCompiler.cmake
With 17.10.0 the MSVC toolset was set to 19.40.x which breaks the compatibility test in the OpenCV's CMake Config files.
2024-05-24 11:10:09 +02:00
Alexander Smorkalov 28c3000f62 Merge pull request #25629 from arobase-che:fix-opencv.js-compilation-memory-init-file
Fix the compilation of OpenCV.js by deleting the option --memory-init-file of em++
2024-05-24 10:28:16 +03:00
Letu Ren 6bee2facf3 Use leftarrow in color conversion Doc 2024-05-24 14:56:50 +08:00
Alexander Alekhin f1aef892bf Merge pull request #25619 from opencv-pushbot:gitee/alalek/update_ffmpeg_4.x 2024-05-23 16:54:30 +00:00
Alexander Smorkalov f5793d26b7 Merge pull request #25632 from bebuch:patch-1
Support VS 2022 17.1x.y
2024-05-23 18:24:37 +03:00
Alexander Smorkalov de3eb0ec5f Merge pull request #25626 from asmorkalov:as/HAL_lut_size
Fixed width and height order in HAL call for LUT
2024-05-23 17:52:43 +03:00
Alexander Smorkalov 4824354e46 Merge pull request #25631 from asmorkalov:as/png_build_fix
Fixed CMake Missing variable is: CMAKE_ASM_COMPILE_OBJECT in PNG build #25631

Error message with `-DBUILD_PNG=ON` on ARM64:
```
-- Configuring done
CMake Error: Error required internal CMake variable not set, cmake may not be built correctly.
Missing variable is:
CMAKE_ASM_COMPILE_OBJECT
-- Generating done
CMake Generate step failed.  Build files cannot be regenerated correctly.
```

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2024-05-23 17:14:01 +03:00
Benjamin Buch 6fb3f63331 Support VS 2022 17.1x.y
With 17.10.0 the MSVC toolset was set to 19.40.x which breaks the compatibility test in the OpenCV's CMake Config files.
2024-05-23 16:05:19 +02:00
Alexander Smorkalov 16b5096ed0 Merge pull request #25618 from asmorkalov:as/kleidicv_0.1.0
KleidiCV HAL update to version 0.1.0. #25618

Original integration PR: https://github.com/opencv/opencv/pull/25443

Force the library for testing with CI

### Pull Request Readiness Checklist

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2024-05-23 16:55:44 +03:00
Alexander Smorkalov 9f1559595b Merge pull request #25627 from vrabaud:tiff
Disambiguate cv::format
2024-05-23 12:51:16 +03:00
ache f8ad6eb71b Delete option --memory-init-file of em++ 2024-05-23 10:59:09 +02:00
Vincent Rabaud 500207785a Disambiguate cv::format
Otherwise, this test does not compile with C++20, which includes
std::format.
2024-05-23 10:41:03 +02:00
Alexander Smorkalov f85014534f Fixed width and height order in HAL call for LUT. 2024-05-23 10:30:33 +03:00
Alexander Smorkalov f2c48e5e97 Merge pull request #25622 from lackhole:remove-unicode-character
Replace non-ascii character in comment
2024-05-22 22:24:13 +03:00
Suleyman TURKMEN e765c9f9c8 Merge pull request #25580 from sturkmen72:libpng_1_6_43
3rdparty: update libpng 1.6.43 #25580

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2024-05-22 15:45:10 +03:00
lackhole 28d029c158 Replace non-ascii character 2024-05-22 20:01:54 +09:00
Alexander Alekhin 5696413bbc ffmpeg/4.x: update FFmpeg wrapper 2024.05 2024-05-22 08:53:39 +00:00
Alexander Smorkalov 8393885a39 Merge pull request #25615 from asmorkalov:update_version_4.10.0-pre
pre: OpenCV 4.10.0 (version++)
2024-05-21 16:58:41 +03:00
Yuantao Feng 49f80cb3c4 Merge pull request #24804 from fengyuentau:fix_lapack_warnings
core: try to solve warnings caused by Apple's new LAPACK interface #24804

Resolves https://github.com/opencv/opencv/issues/24660

Apple's BLAS documentation: https://developer.apple.com/documentation/accelerate/blas?language=objc

New interface since macOS >= 13.3, iOS >= 16.4.

Todo:

- [x] Detect macOS version.
- [x] ~Detect iOS versions (major and minor version).~ No calling of Accelerate New LAPACK on iOS.
- [x] Solve calling `cblas_cgemm` and `cblas_zgemm`.

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2024-05-21 16:58:16 +03:00
HAN Liutong e52540162f Merge pull request #25586 from hanliutong:rvv-64f
Fix v_round and enable unit tests for scalable universal intrinsic 64F type. #25586

This may be a legacy issue from the previous PR #24325. I don't quite remember why the float 64 part of the unit test was not enabled at that time.

Whatever, this patch enables the unit tests for scalable 64F type , and makes the necessary modifications to the RVV backend to make the tests pass.

This patch is compiled by GCC 14 and LLVM 17 &18, and tested on QEMU and k230.

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2024-05-21 14:10:19 +03:00
Alexander Smorkalov 0b39a51be8 pre: OpenCV 4.10.0 (version++). 2024-05-21 11:37:05 +03:00
Alexander Smorkalov c71d495273 Merge pull request #25611 from asmorkalov:as/openjpeg_2.5.2
OpenJPEG update to 2.5.2.
2024-05-20 19:57:07 +03:00
Alexander Smorkalov 40faced6c1 OpenJPEG update to 2.5.2. 2024-05-20 13:44:43 +03:00
Alexander Smorkalov 23ba63b0be Merge pull request #25574 from savuor:rv/hal_sub8x32f
HAL for sub8x32f added
2024-05-20 13:19:05 +03:00
Rostislav Vasilikhin d95ff3ac04 HAL for sub8x32f added 2024-05-20 10:48:56 +03:00
Rostislav Vasilikhin 69af621ef6 Merge pull request #25506 from savuor:rv/hal_mul16
HAL mul8x8to16 added #25506

Fixes #25034

### Pull Request Readiness Checklist

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2024-05-20 10:43:18 +03:00
Rostislav Vasilikhin 83e32c4d37 Merge pull request #25511 from savuor:rv/hal_projectpoints
HAL for projectPoints() added #25511

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2024-05-20 10:42:17 +03:00
Cristian Dobre e05ad56f6e Merge pull request #24903 from cristidbr-adapta:feature-barcode-detector-parameters
Feature barcode detector parameters #24903

Attempt to solve #24902 without changing the default detector behaviour. 
Megre with extra: https://github.com/opencv/opencv_extra/pull/1150

**Introduces new parameters and methods to `cv::barcode::BarcodeDetector`**.

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2024-05-20 09:53:22 +03:00
Maksim Shabunin 6350bfbf79 Merge pull request #25564 from mshabunin:cleanup-imgproc-2
imgproc: C-API cleanup, drawContours refactor #25564

Changes:
* moved several macros from types_c.h to cvdef.h (assuming we will continue using them)
* removed some cases of C-API usage in _imgproc_ module (`CV_TERMCRIT_*` and `CV_CMP_*`)
* refactored `drawContours` to use C++ API instead of calling `cvDrawContours` + test for filled contours with holes (case with non-filled contours is simpler and is covered in some other tests)

#### Note:
There is one case where old drawContours behavior doesn't match the new one - when `contourIdx == -1` (means "draw all contours") and `maxLevel == 0` (means draw only selected contours, but not what is inside).

From the docs:
> **contourIdx**	Parameter indicating a contour to draw. If it is negative, all the contours are drawn.

> **maxLevel**	Maximal level for drawn contours. If it is 0, only the specified contour is drawn. If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This parameter is only taken into account when there is hierarchy available.


Old behavior - only one first contour is drawn:
![actual_screenshot_08 05 2024](https://github.com/opencv/opencv/assets/3304494/d0ae1d64-ddad-46bb-8acc-6f696874f71b)
a
New behavior (also expected by the test) - all contours are drawn:
![expected_screenshot_08 05 2024](https://github.com/opencv/opencv/assets/3304494/57ccd980-9dde-4006-90ee-19d6ce76912a)
2024-05-17 15:01:05 +03:00
Alexander Smorkalov 8aa129dce1 Merge pull request #25603 from asmorkalov:as/skip_vulkan_concat
Skip Test_Caffe_layers.Concat with Vulkan due to sporadic failures
2024-05-17 12:55:51 +03:00
Alexander Smorkalov 5f509e2ec1 Skip Test_Caffe_layers.Concat with Vulkan due to sporadic failures. 2024-05-17 11:54:25 +03:00
Alexander Smorkalov 5e7887897a Merge pull request #25525 from sturkmen72:png-spng-test
improvements on tests of imagecodecs module
2024-05-17 11:37:12 +03:00
Yuantao Feng bc0618b688 Merge pull request #25582 from fengyuentau:dnn/dump_pbtxt
Current net exporter `dump` and `dumpToFile` exports the network structure (and its params) to a .dot file which works with `graphviz`. This is hard to use and not friendly to new user. What's worse, the produced picture is not looking pretty.
dnn: better net exporter that works with netron #25582

This PR introduces new exporter `dumpToPbtxt` and uses this new exporter by default with environment variable `OPENCV_DNN_NETWORK_DUMP`. It mimics the string output of a onnx model but modified with dnn-specific changes, see below for an example.

![image](https://github.com/opencv/opencv/assets/17219438/0644bed1-da71-4019-8466-88390698e4df)

## Usage

Call `cv::dnn::Net::dumpToPbtxt`:

```cpp
TEST(DumpNet, dumpToPbtxt) {
    std::string path = "/path/to/model.onnx";
    auto net = readNet(path);

    Mat input(std::vector<int>{1, 3, 640, 480}, CV_32F);
    net.setInput(input);

    net.dumpToPbtxt("yunet.pbtxt");
}
```

Set `export OPENCV_DNN_NETWORK_DUMP=1`

```cpp
TEST(DumpNet, env) {
    std::string path = "/path/to/model.onnx";
    auto net = readNet(path);

    Mat input(std::vector<int>{1, 3, 640, 480}, CV_32F);
    net.setInput(input);

    net.forward();
}
```

---

Note:
- `pbtxt` is registered as one of the ONNX model suffix in netron. So you can see `module: ai.onnx` and such in the model.
- We can get the string output of an ONNX model with the following script

```python
import onnx
net = onnx.load("/path/to/model.onnx")
net_str = str(net)
file = open("/path/to/model.pbtxt", "w")
file.write(net_str)
file.close()
```

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-17 11:07:05 +03:00
Alexander Smorkalov 0044047782 Merge pull request #25598 from asmorkalov:as/tables_range_check_core
Check range for type-dependant function tables #25598

Address https://github.com/opencv/opencv/issues/24703

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-17 10:48:40 +03:00
Alexander Smorkalov 41f08988b4 Merge pull request #25585 from FantasqueX:add-policy-0148
set policy 0148 explicitly
2024-05-16 18:43:36 +03:00
Alexander Smorkalov f2d6527a4b Merge pull request #25596 from asmorkalov:as/ci_ubuntu24.04
Added Ubuntu 24.04 to regular CI.
2024-05-16 17:03:44 +03:00
Alexander Smorkalov d29ad2fb71 Merge pull request #25443 from asmorkalov:as/kleidicv_hal
Integrate ARM KleidiCV as OpenCV HAL #25443

The library source code with license: https://gitlab.arm.com/kleidi/kleidicv/

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-16 15:29:06 +03:00
Alexander Smorkalov 5f3a505a2d Added Ubuntu 24.04 to regular CI. 2024-05-16 11:17:35 +03:00
Alexander Smorkalov 78ed6de518 Merge pull request #25594 from LaurentBerger:I25587
typo
2024-05-16 08:46:56 +03:00
Suleyman TURKMEN 7d6b6161cc Update imgcodecs tests 2024-05-15 22:24:21 +03:00
CNOCycle 7713c84465 Merge pull request #25297 from CNOCycle:tflite/transpose
Support Transpose op in TFlite #25297

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1168

The purpose of this PR is to introduce support for the Transpose op in TFlite format and to add a shape comparison between the output tensors and the references. In some occasional cases, the shape of the output tensor is `[1,4,1,1]`, while the shape of the reference tensor is `[1,4]`. Consequently, the norm check incorrectly reports that the test has passed, as the residual is zero.

Below is a Python script for generating testing data. The generated data can be integrated into the repo `opencv_extra`.

```python
import numpy as np
import tensorflow as tf

PREFIX_TFL = '/path/to/opencv_extra/testdata/dnn/tflite/'

def generator(input_tensor, model, saved_name):

    # convert keras model to .tflite format
    converter = tf.lite.TFLiteConverter.from_keras_model(model)
    #converter.optimizations = [tf.lite.Optimize.DEFAULT]
    converter.optimizations = [None]
    tflite_model = converter.convert()
    with open(f'{PREFIX_TFL}/{saved_name}.tflite', 'wb') as f:
        f.write(tflite_model)

    # save the input tensor to .npy
    if input_tensor.ndim == 4:
        opencv_tensor = np.transpose(input_tensor, (0,3,1,2))
    else:
        opencv_tensor = input_tensor
    opencv_tensor = np.copy(opencv_tensor, order='C').astype(np.float32)
    np.save(f'{PREFIX_TFL}/{saved_name}_inp.npy', opencv_tensor)

    # generate output tenosr and save it to .npy
    mat_out = model(input_tensor).numpy()
    mat_out = np.copy(mat_out, order='C').astype(np.float32)
    if mat_out.ndim == 4:
        mat_out = np.transpose(mat_out, (0,3,1,2))
    interpreter = tf.lite.Interpreter(model_content=tflite_model)
    out_name = interpreter.get_output_details()[0]['name']
    np.save(f'{PREFIX_TFL}/{saved_name}_out_{out_name}.npy', mat_out)

def build_transpose():

    model_name = "keras_permute"
    mat_in = np.array([[[1,2,3], [4,5,6]]], dtype=np.float32)

    model = tf.keras.Sequential()
    model.add(tf.keras.Input(shape=(2,3)))
    model.add(tf.keras.layers.Permute((2,1)))
    model.summary()

    generator(mat_in, model, model_name)

if __name__ == '__main__':
    build_transpose()
```

### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2024-05-15 20:07:25 +03:00
unknown 5009109167 typo 2024-05-15 16:16:07 +02:00
Laurent Berger 76d9f7aaeb Merge pull request #25591 from LaurentBerger:I25589
Remove dnn::layer::allocate in doc #25591

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work #25589 
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-15 17:08:52 +03:00
Alexander Smorkalov 68581e7b4a Merge pull request #25592 from asmorkalov:as/gapi_disable_steaming_again
Disable more streaming test in G-API due to instability.
2024-05-15 16:41:13 +03:00
Alexander Smorkalov c034c46e69 Disable more streaming test in G-API due to instability. 2024-05-15 15:41:23 +03:00
Alexander Smorkalov 4d4def2d36 Merge pull request #25590 from asmorkalov:as/restore_highgui_test
Restored and extended Highgui test logic for small windows.
2024-05-15 14:56:00 +03:00
Alexander Smorkalov 2e07ec1f87 Restored and extended Highgui test logic for small windows. 2024-05-15 12:47:22 +03:00
Kumataro 47a6ffb73c Merge pull request #25561 from Kumataro:fix25560
highgui: wayland: expand image width if title bar cannot be shown

Close #25560

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-15 11:00:46 +03:00
alexlyulkov 03507e06b4 Merge pull request #25518 from alexlyulkov:al/fixed-gemm-openvino
Fixed OpenVINO gemm layer #25518

Fixed OpenVINO gemm layer
The problem was that our layer didn't properly handle all the possible gemm options in OpenVINO mode
Fixes #25472

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2024-05-14 17:41:19 +03:00
Letu Ren 7fc8a490f8 set policy 0148 explicitly
Currently, there is an warning when CMake >= 3.27,
CMake Warning (dev) at cmake/OpenCVUtils.cmake:144 (find_package):
  Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
  are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
  the cmake_policy command to set the policy and suppress this warning.

This patch sets policy 0148 explicitly to suppress the warning.
2024-05-14 22:22:10 +08:00
Alexander Smorkalov f4e5438401 Merge pull request #25566 from asmorkalov:as/moments_documentation
Synchornized cv::moments documentation with actual implementation.
2024-05-14 17:19:41 +03:00
Alexander Smorkalov 02ad8c284f Merge pull request #25577 from FantasqueX:fix-zlib-ng-version-parse-1
Fix zlib-ng version parse
2024-05-14 17:16:26 +03:00
Alexander Smorkalov 58e007e183 Merge pull request #25583 from mshabunin:fix-emd-32bit
imgproc: fix allocation issue in EMD
2024-05-14 16:43:02 +03:00
Maksim Shabunin 1614b8df4e imgproc: fix allocation issue in EMD 2024-05-14 12:51:26 +03:00
Alexander Smorkalov 3c7e94b275 Merge pull request #25576 from mshabunin:fix-env-doc
doc: fix env change method in the environment reference
2024-05-13 15:24:03 +03:00
Letu Ren 023d805492 Fix zlib-ng version parse
Currently, zlib-ng version is 'zlib ver #define ZLIB_VERSION "1.3.0.zlib-ng"'. Because ocv_parse_header_version only accepts dot and numbers and doesn't accepts 1.3.0.zlib-ng. This patch changes ocv_parse_header_version to accept all characters between parentheses.
2024-05-13 19:32:00 +08:00
Kumataro 8dc9ff5624 Merge pull request #25551 from Kumataro:fix25550
highgui: wayland: fix to pass highgui test #25551

Close #25550

- optimize Mat to XRGB8888 conversion with OpenCV functions
  - extend to support CV_8S/16U/16S/32F/64F
  - extend to support 1/4 channels
- fix to update value timing
 - initilize slider_ value if value is not nullptr.
 - Update user-ptr value and call on_change() function if cv_wl_trackbar::draw() is not called.
- Update usage of WAYLAND/XDG macro to avoid reference undefined macro.
- Update documents

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-13 14:26:24 +03:00
Maksim Shabunin 78c9793d5b doc: fix env change method in the environment reference 2024-05-13 14:16:31 +03:00
Rostislav Vasilikhin 1d9a4120fa Merge pull request #25565 from savuor:rv/hal_eq_hist
Merge pull request #25565 from savuor/rv/hal_eq_hist

HAL for equalizeHist() added #25565

fixes #25530

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-09 08:37:55 +03:00
Alexander Smorkalov 55eebe81c3 Synchornized cv::moments documentation with actual implementation. 2024-05-09 08:30:36 +03:00
Alexander Smorkalov 1f1ba7e402 Merge pull request #25563 from asmorkalov:as/HAL_min_max_idx
Transform offset to indeces for MatND in minMaxIdx HAL #25563

Address comments in https://github.com/opencv/opencv/pull/25553

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-08 18:57:02 +03:00
Rostislav Vasilikhin 5bd64e09a3 Merge pull request #25554 from savuor:rv/hal_lut
Merge pull request #25554 from savuor:rv/hal_lut

HAL for LUT added #25554

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-08 17:45:08 +03:00
Alexander Smorkalov faa259ab34 Merge pull request #25553 from asmorkalov:as/HAL_min_max_idx
Fix HAL interface for hal_ni_minMaxIdx #25553

Fixes https://github.com/opencv/opencv/issues/25540

The original implementation call HAL with the same parameters independently from amount of channels. The patch uses HAL correctly for the case cn > 1.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-07 20:46:17 +03:00
Alexander Smorkalov a9e489f149 Merge pull request #25558 from asmorkalov:as/moments_sanity
Tune sanity threshold in Moments performance test for Android aarch64
2024-05-07 19:38:06 +03:00
Alexander Smorkalov 392fd4edd1 Tune sanity threshold in Moments performance test for Android aarch64. 2024-05-07 18:24:43 +03:00
Alexander Smorkalov ba65d2eb0d Merge pull request #25549 from mshabunin:fix-cap-images-noise
videoio: decreased log level for failed backends in capture and writer open
2024-05-07 09:01:50 +03:00
Alexander Smorkalov 8bc90a4bff Merge pull request #25484 from mshabunin:bounding-rect-alignment
imgproc: improved test for boundingRect
2024-05-07 08:58:07 +03:00
Maksim Shabunin 7127161426 videoio: decreased log level for failed backends in VideoCapture and VideoWriter open 2024-05-06 20:48:17 +03:00
Alexander Smorkalov 26a5730f0d Merge pull request #25542 from mshabunin:fix-disable-diagram
doc: disable inheritance graphs
2024-05-06 11:08:18 +03:00
Alexander Smorkalov a4486c0e20 Merge pull request #25541 from mshabunin:fix-numpy2x-test
python: adapt test to NumPy 2.x
2024-05-06 08:39:00 +03:00
Alexander Smorkalov 70d333d336 Merge pull request #25483 from asmorkalov:as/HAL_meanStdDev
HAL API for meanStdDev
2024-05-06 08:19:43 +03:00
Alexander Smorkalov c43957cbec Merge pull request #25538 from asmorkalov:as/resnet_optional
Made fcn-resnet50-12.onnx model optional.
2024-05-06 08:16:51 +03:00
Maksim Shabunin 4081a309bf doc: disabled inheritance graphs 2024-05-03 22:09:33 +03:00
Maksim Shabunin a8df49f170 doc: fixed modern Javadoc issue 2024-05-03 22:09:19 +03:00
Maksim Shabunin c4ce94232b imgproc: fixed alignment issue and improved test for boundingRect 2024-05-03 21:26:40 +03:00
Maksim Shabunin af4531b378 python: adapt test to NumPy 2.x 2024-05-03 20:10:41 +03:00
Alexander Smorkalov b94cb5bc68 HAL interface for meanStdDev. 2024-05-03 16:36:43 +03:00
Alexander Smorkalov d8e18f4576 Made fcn-resnet50-12.onnx model optional. 2024-05-03 16:14:22 +03:00
Alexander Smorkalov 75f3f0fac8 Merge pull request #25526 from NlSEMONO:patch-1
Fixed a typo in text_detection.cpp
2024-05-03 14:44:31 +03:00
Alexander Smorkalov ac9a858377 Merge pull request #25524 from alexlyulkov:al/openvino-layers
Added more OpenVINO layers to dnn
2024-05-03 13:16:56 +03:00
Alexander Smorkalov 6e5a53c37a Merge pull request #25532 from asmorkalov:as/HAL_moments_bug
Fix moments integration to OpenCV HAL
2024-05-03 12:34:51 +03:00
Alexander Smorkalov d9555dbdd1 Merge pull request #25535 from asmorkalov:as/convertfp16_imgcodecs
Got rid of deprecated convertFp16 in imgcodecs module.
2024-05-03 12:33:36 +03:00
Alexander Smorkalov c539cfd31a Merge pull request #25435 from WanliZhong:fcn2onnx
change fcn8s-heavy-pascal tests from caffe to onnx
2024-05-03 11:13:13 +03:00
Alexander Smorkalov 9fe5615f2f Got rid of deprecated convertFp16 in imgcodecs module. 2024-05-03 11:05:08 +03:00
Alexander Smorkalov 6bf758ecc4 Merge pull request #24782 from FantasqueX:4.x-zlib-ng
Add zlib-ng as an alternative zlib implementation
2024-05-03 10:55:25 +03:00
Alexander Smorkalov 02c3132f02 Fix moments integration to OpenCV HAL. 2024-05-03 08:40:43 +03:00
Alexander Smorkalov 7ea4364c63 Merge pull request #25528 from asmorkalov:as/python_hdr_parser_fix
Fixed SyntaxWarning: invalid escape sequence '\w' in header parser.
2024-05-03 08:01:14 +03:00
Rostislav Vasilikhin bc95f27e56 Merge pull request #25509 from savuor:rv/hal_otsu
HAL added for Otsu threshold #25509

fixes #25393

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-02 20:50:08 +03:00
Alexander Smorkalov 5aaa570fef Fixed SyntaxWarning: invalid escape sequence '\w' in header parser. 2024-05-02 20:38:23 +03:00
Wanli ed47cce1c5 change fcn8s-heavy-pascal tests from caffe to onnx 2024-05-03 00:15:09 +08:00
NlSEMONO c999cb3c5e Update text_detection.cpp 2024-05-02 11:38:18 -04:00
Alexander Smorkalov ce642e994d Merge pull request #25510 from Kumataro:fix25497
highgui: wayland: support imshow() without pre-calling namedWindow()
2024-05-02 14:41:14 +03:00
Kumataro 1c9efbd4be Merge pull request #25523 from Kumataro:fix25522
videoio: obsensor: remove OB_EXT_CMD10 to suppress warning #25523

Close #25522

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-02 14:40:27 +03:00
Alexander Lyulkov f3f29fa62c Added more OpenVINO layers to dnn 2024-05-02 14:37:40 +03:00
Alexander Smorkalov b5cf4f1483 Merge pull request #25514 from xndcn:patch-1
Fix doc about uniform parameter for imgproc calcBackProject function
2024-05-01 21:03:00 +03:00
Alexander Smorkalov 1f6f092a9d Merge pull request #25513 from zihaomu:fix_25498
fix statckblur big kernel case
2024-05-01 10:06:44 +03:00
zihaomu 22de887c00 fix statckblur big kernel case 2024-04-30 18:07:21 +08:00
xndcn e3fc850ec2 Fix doc about uniform parameter for imgproc calcBackProject function
It is said "see above" because calcBackProject is listed under calcHist function in source file, while it is listed before due to the lexicographic ordering.
2024-04-30 16:58:51 +08:00
Alexander Smorkalov cbf71c380f Merge pull request #25502 from Kumataro:fix25501
highgui: wayland: reduce cpu usage for cv::waitKey()
2024-04-30 11:45:03 +03:00
Kumataro 716826cccd highgui: wayland: support imshow() without pre-calling namedWindow() 2024-04-30 10:01:51 +09:00
Kumataro 2a2ff55257 Merge pull request #25496 from Kumataro:fix25495
highgui: wayland: show "NO" status if dependency is missing #25496

Close #25495

- [doc] Add document to enable Wayland highgui-backend in ubuntu 24.04.
- [build] Show "NO" status instead of version if dependency library is missing.
- [build] Fix to find Wayland EGL.
- [fix] Add some callback stub functions to suppress build warning.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-29 18:58:29 +03:00
Dmitry Kurtaev b1e01970ef Merge pull request #25308 from dkurt:not_normalized_findHomography
Not-normalized output from findHomography #25308

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/25133
resolves https://github.com/opencv/opencv/issues/4834
resolves https://github.com/opencv/opencv/issues/22166
resolves https://github.com/opencv/opencv/issues/18592

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-29 14:35:14 +03:00
Kumataro 6682270b4c highgui: wayland: reduce cpu usage for cv::waitKey() 2024-04-28 19:21:32 +09:00
Rostislav Vasilikhin 12e2cc9502 Merge pull request #25491 from savuor:rv/hal_norm_hamming
HAL for Hamming norm added #25491

fixes #25474

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-27 14:38:44 +03:00
Rostislav Vasilikhin 357b9abaef Merge pull request #25450 from savuor:rv/svd_perf
Perf tests for SVD and solve() created #25450

fixes #25336

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-04-27 14:33:13 +03:00
Alexander Smorkalov 8af76698ed Merge pull request #25493 from vrabaud:tiff
Replace static numpy allocator by function containing static.
2024-04-27 13:13:52 +03:00
Vincent Rabaud 8f7e55a60b Replace static numpy allocator by function containing static.
That enables the numpy code to be its own library, in case
some users want to (e.g. CLIF library).
2024-04-26 14:38:18 +02:00
Alexander Smorkalov 2cd330486e Merge pull request #25490 from asmorkalov:as/HAL_moments
Added moments interface to HAL.
2024-04-26 11:14:18 +03:00
Alexander Smorkalov d0978cea39 Added moments interface to HAL. 2024-04-25 17:19:34 +03:00
Alexander Smorkalov 7b58ffebd0 Merge pull request #25486 from asmorkalov:as/gapi_warning_fix
Fixed build warnings introduced in #24938
2024-04-25 11:23:55 +03:00
inkredibl 2225b257cf Merge pull request #25488 from inkredibl:doc-fix-findEssentialMat
Fix documentation for findEssentialMat to reflect how it actually works. #25488

Documentation for findEssentialMat() incorrectly states that the method uses the same cameraMatrix for both lists of points even though there are two cameraMatrix and distCoeffs.

Checked the code and it does the right thing i.e. uses cameraMatrix1, distCoeffs1 for points1 and cameraMatrix2, distCoeffs2 for points2.

Updated the documentation for the method to clarify what it does. The code itself is not changed.
2024-04-25 11:05:16 +03:00
Alexander Smorkalov 7bad12c33b Fixed build warnings introduced in #24938 2024-04-25 10:07:25 +03:00
Daria Mityagina ebea65777f Merge pull request #24938 from DariaMityagina:icv/dm/add-media-frame-support-to-govbackend
G-API OV backend requires cv::MediaFrame #24938

### Pull Request Readiness Checklist

**Background_subtraction demo G-API issue. Update:**

Porting to API20 resulted in an error (both for CPU and NPU):
```
[ERROR] OpenCV(4.9.0-dev) /home/runner/work/open_model_zoo/open_model_zoo/cache/opencv/modules/gapi/src/backends/ov/govbackend.cpp:813: error: (-215: assertion not done ) cv::util::holds_alternative<cv::GMatDesc>(input_meta) in function 'cfgPreProcessing'
```

Adding cv::MediaFrame support to govbackend resulted in the following (tested with CPU):
<img width="941" alt="image" src="https://github.com/opencv/opencv/assets/52502732/3a003d61-bda7-4b1e-9117-3410cda1ba32">

### TODO

- [ ] **As part of the review process [this comment](https://github.com/opencv/opencv/pull/24938#discussion_r1487694043) was addressed which make it impossible to run the demo. I will bring those changes back in a separate PR [support `PartialShape`]**

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-24 16:25:00 +03:00
Maksim Shabunin 7e56908306 Merge pull request #25469 from mshabunin:cpp-emd
imgproc: refactor EMD to reduce C-API usage #25469

- added more tests for EMD
- refactored to remove CvArr
- used BufferArea for memory allocations
- renamed functions and variables and formatted the code
- kept legacy functions intact in separate header
2024-04-24 14:28:31 +03:00
Alexander Smorkalov 5b0843728e Merge pull request #25453 from Kumataro:fix25452
imgcodecs: jpeg: refactoring for JpegEncoder
2024-04-22 16:38:00 +03:00
Alexander Smorkalov 616a913fa2 Merge pull request #25468 from WanliZhong:change_js_ocvFaceDet_sample
Replace opencv_face_detector with YuNet in js_face_recognition sample
2024-04-22 16:03:33 +03:00
Alexander Smorkalov 50b6edc9ba Merge pull request #25321 from dkurt:skip_gapi_test
Skip InferList.TestStreamingInfer
2024-04-22 11:43:25 +03:00
LuukvandenBent ae85e516c0 Merge pull request #25423 from LuukvandenBent:CalibrateHandEyeDatatypeFix
Calibrate hand eye datatype fix #25423

Fix for issue https://github.com/opencv/opencv/issues/25421.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-22 11:12:29 +03:00
Wanli 096ccd410b change js_face_recognition sample with yunet 2024-04-22 15:59:54 +08:00
Alexander Smorkalov 3f8b56ec49 Merge pull request #25459 from Kumataro:investigate_tiff_test
imgcodecs: tiff: test: ASSERT_NO_THROW() for imwrite/imread
2024-04-22 09:55:14 +03:00
Laurent Berger fb2af90daa Merge pull request #25354 from LaurentBerger:uiname
Add cv::currentUIFramework #25354

issue https://github.com/opencv/opencv/issues/25329

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-19 13:38:17 +03:00
Kumataro 26798e1f7c imgcodecs: tiff: test: ASSERT_NO_THROW() for imwrite/imread 2024-04-19 19:20:05 +09:00
Vincent Rabaud fc5eb101bf Merge pull request #25447 from vrabaud:tiff
Remove unnecessary FIXIT section in grfmt_tiff.cpp #25447

No int64/uint64 is used in the code anymore.

grfmt_tiff.hpp includes the tiff.h header inside of the tiff_dummy_namespace declaration. One implication of this is that all namespaced declarations made in tiff.h become qualified with tiff_dummy_namespace::.

Because tiff.h includes standard library headers, the std namespace declarations are converted to tiff_dummy_namespace::std declarations.

Subsequently, grfmt_tiff.hpp declares using namespace tiff_dummy_namespace;.

This can lead to an ambiguity error during the resolution of the std namespace.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
2024-04-19 13:00:27 +03:00
JunX 882f46e1d3 Merge pull request #25317 from junxnone:ipp_202110
Fix for IPP 2021.10 with OneAPI 2024 #25317

fixes #25270

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-19 11:55:17 +03:00
Alexander Smorkalov 5da17a4b03 Merge pull request #25454 from fengyuentau:fix_core_gemm_acc
core: fix `Core_GEMM.accuracy` failure on recent macOS
2024-04-19 11:36:31 +03:00
Alexander Smorkalov a604304e87 Merge pull request #25430 from asmorkalov:as/FaceDetectorYN_js
Added FaceDetectorYN to OpenCV JS API
2024-04-19 10:12:16 +03:00
fengyuentau 4ef5986d4d remove manual unrolling that causes problem 2024-04-19 14:24:26 +08:00
Kumataro fb194a4582 imgcodecs: jpeg: refactoring for JpegEncoder 2024-04-19 15:06:28 +09:00
Kumataro c577b24406 Merge pull request #25445 from Kumataro:fix25403
apps: createsamples: fix comment to remove last backslash #25445

Close #25403

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-18 18:11:07 +03:00
Alexander Smorkalov a1e4444fb5 Merge pull request #25439 from mshabunin:cpp-contours-5-back
imgproc: sync boundingRect function with 5.x
2024-04-18 09:33:49 +03:00
Maksim Shabunin d77dbbe7a0 imgproc: sync boundingRect function with 5.x 2024-04-17 23:01:31 +03:00
Alexander Smorkalov b8ec9492b4 Merge pull request #25432 from vrabaud:webp_1.4.0
Bump libwebp to v1.4.0
2024-04-17 17:13:41 +03:00
Vincent Rabaud c317a3ee89 Merge pull request #25419 from vrabaud:ffmpeg
Fix race condition in InternalFFMpegRegister initialization. #25419

initLogger_ does not check if the logger has been initizalized before and it might initialize it several times from different threads, racing with other threads that are logging.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
2024-04-17 16:58:10 +03:00
Vincent Rabaud 85673afb47 Bump libwebp to v1.4.0 2024-04-17 14:36:44 +02:00
Alexander Smorkalov 05a54b1405 Merge pull request #25397 from asmorkalov:as/HAL_GaussianBlur_bit_exact
Added HAL function for popular bit-exact branch of GaussianBlur with sigma=0
2024-04-17 14:24:17 +03:00
Maksim Shabunin f9e9567870 Merge pull request #25424 from mshabunin:fix-features2d-test
features2d: reduce accuracy test avg memory consumption #25424

**Merge with contrib**: https://github.com/opencv/opencv_contrib/pull/3722

I've observed high memory consumption in the `opencv_test_features2d` (x86_64, Ubuntu 22.04, Debug):

![image](https://github.com/opencv/opencv/assets/3304494/419d65d9-d727-4d1e-bdec-dbde6681c188)
It's always more than 180 MiB with peak at 535 MiB

This was caused by pointers to the algorithm object instances stored in the tests parameters. I've replaced them with factory functions/lambdas with the following result:

![image](https://github.com/opencv/opencv/assets/3304494/bd4ff0ea-3db4-4ab8-8e6d-192a3826e99c)
Now peak is at 355 MiB and permanent consumption level is ~ 1-2 MiB


**Note:** current peak is caused by KAZE features allocating 8x image size utility buffers. Not sure if we can or should do anything about it: https://github.com/opencv/opencv/blob/66fb5021e9253e3decab376d00322eaf2b279c89/modules/features2d/src/kaze/KAZEFeatures.cpp#L61-L68
2024-04-17 14:19:05 +03:00
Alexander Smorkalov 577ad0a5ad Merge pull request #25399 from asmorkalov:as/HAL_remap
New HAL API for remap
2024-04-17 14:14:21 +03:00
Alexander Smorkalov 3cc83c7610 Added FaceDetectorYN to OpenCV JS API. 2024-04-17 12:59:49 +03:00
Linaname 37ca0308a7 Merge pull request #25402 from Linaname:4.x
Handle top and left border masked pixels correctly in inpaint method #25402

Fixes #25389

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-17 11:26:56 +03:00
Alexander Smorkalov a4b4808d9d New HAL API for remap 2024-04-17 11:17:32 +03:00
Alexander Smorkalov f643964c68 Added HAL function for popular bit-exact branch of GaussianBlur with sigma=0. 2024-04-17 10:13:35 +03:00
alexlyulkov f9dd20eb07 Merge pull request #25414 from alexlyulkov:al/range-fixed
Fixed ONNX range layer #25414

Partially address https://github.com/opencv/opencv/issues/25363
Fixed ONNX range layer. It should support any input type.
Added tests (extra [PR](https://github.com/opencv/opencv_extra/pull/1170))

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-17 09:38:21 +03:00
Alexander Smorkalov 66fb5021e9 Merge pull request #25413 from Linaname:#25404
Correct inpainting floating point values with Telea's algorithm
2024-04-16 12:16:35 +03:00
Alexander Panov e2621f128e Merge pull request #25378 from AleksandrPanov:move_charuco_tutorial
Move Charuco/Calib tutorials and samples to main repo #25378

Merge with https://github.com/opencv/opencv_contrib/pull/3708

Move Charuco/Calib tutorials and samples to main repo:

- [x] update/fix charuco_detection.markdown and samples
- [x] update/fix charuco_diamond_detection.markdown and samples
- [x] update/fix aruco_calibration.markdown and samples
- [x] update/fix aruco_faq.markdown
- [x] move tutorials, samples and tests to main repo
- [x] remove old tutorials, samples and tests from contrib


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-16 12:14:33 +03:00
Alexander Alekhin 4fb0541916 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2024-04-15 11:51:36 +00:00
Alexander Smorkalov c622ffd95f Merge pull request #25365 from MaximSmolskiy:take-first-suitable-neighbor-in-ChessBoardDetector-findQuadNeighbors
Take first suitable neighbor in ChessBoardDetector::findQuadNeighbors
2024-04-15 14:37:41 +03:00
eplankin 02a74f2e88 Merge pull request #25377 from eplankin:3.4
* Update IPP integration

* Updated packages and hashes
2024-04-15 10:03:44 +00:00
Alexander Smorkalov 0eef34a670 Merge pull request #25407 from Kumataro:fix25401
imgproc: doc: fix arrow symbols in header
2024-04-15 09:06:14 +03:00
mikhail.shtennikov dfb6069ad9 Inpainting floating point values with Telea's algorithm gives unexpected results 2024-04-15 05:21:54 +05:00
Alexander Smorkalov 66ab0bee7a Merge pull request #25388 from asmorkalov:as/jpeg-turbo-diagnostics
Fixed jpeg-turbo diagnostics and build options in default configuration.
2024-04-13 11:10:36 +03:00
Alexander Smorkalov 0bd066ee58 Merge pull request #25406 from VadimLevin:dev/vlevin/numpy-array-typing-constraints
feat: use numeric dtype for MatLike instead of generic
2024-04-13 11:06:58 +03:00
Alexander Smorkalov 002d0542dd Merge pull request #25405 from VadimLevin:dev/vlevin/ios-framework-privacy-info
feat: add PrivacyInfo file to iOS framework
2024-04-13 11:01:48 +03:00
Kumataro 2eb9e915d9 imgproc: doc: fix arrow symbols in header 2024-04-13 06:15:11 +09:00
Vadim Levin 079e615fbd feat: add PrivacyInfo file to iOS framework 2024-04-12 15:20:11 +03:00
Vadim Levin caa09aca36 feat: use numeric dtype for MatLike instead of generic 2024-04-12 15:10:59 +03:00
Alexander Smorkalov ecbfc1bfd8 Merge pull request #25395 from susumu-iino:fix-dnn-plugin-build-win32
Fix dnn plugin build win32
2024-04-12 11:05:34 +03:00
Alexander Alekhin 06c1c7b5cb Merge pull request #25396 from mshabunin:test-tag-contours 2024-04-11 15:34:49 +00:00
Maksim Shabunin c081efe3c6 imgproc: add 512mb tag for FindContours.accuracy test 2024-04-11 14:37:32 +03:00
Yuantao Feng 197626a5bf Merge pull request #25387 from fengyuentau:complete-float16_t-renaming
Rename remaining float16_t for future proof #25387

Resolves comment: https://github.com/opencv/opencv/pull/25217#discussion_r1547733187.

`std::float16_t` and `std::bfloat16_t` are introduced since c++23: https://en.cppreference.com/w/cpp/types/floating-point.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-11 14:02:44 +03:00
Alexander Smorkalov 2c5b296ab2 Merge pull request #25343 from asmorkalov:as/HAL_bilaterialFilter
HAL interface for bilaterialFilter
2024-04-11 09:15:15 +03:00
Alexander Smorkalov 17c7f76da3 HALL interface for bilaterialFilter. 2024-04-11 09:02:45 +03:00
Alexander Smorkalov a10e33979a Merge pull request #25391 from Kumataro:refix25073
core: persistence: use hfloat instead of float16_t
2024-04-11 08:34:49 +03:00
Kumataro d22d0bd49c core: persistence: use hfloat instead of float16_t 2024-04-11 05:18:25 +09:00
Alexander Smorkalov 9813ea2b7a Merge pull request #25306 from utibenkei:fix_build_of_dynamic_framework_for_visionos
fix build of dynamic framework for visionos
2024-04-10 16:50:38 +03:00
Alexander Smorkalov bbd9059334 Fixed jpeg-turbo diagnostics and build options in default configuration. 2024-04-10 16:19:59 +03:00
Kumataro b14ea19466 Merge pull request #25351 from Kumataro:fix25073_format_g
core: persistence: output reals as human-friendly expression. #25351

Close #25073
Related https://github.com/opencv/opencv/pull/25087

This patch is need to merge same time with https://github.com/opencv/opencv_contrib/pull/3714

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-10 15:17:15 +03:00
Alexander Smorkalov cf3a130be6 Merge pull request #25385 from asmorkalov:as/new_contours_cleanup
Removed old C API usage in new findContours implementation
2024-04-10 12:48:12 +03:00
Alexander Smorkalov 5bad694b7f Removed old C API usage in new findContours implementation. 2024-04-10 11:19:55 +03:00
Alexander Smorkalov d0ec39206a Merge pull request #25383 from asmorkalov:as/win32_arm_ci
Added experimental build for Windows ARM64 to CI.
2024-04-10 10:44:05 +03:00
Alexander Smorkalov cf3e90ab91 Added experimental build for Windows ARM64 to CI. 2024-04-10 10:26:34 +03:00
Alexander Smorkalov 369760116e Merge pull request #25375 from asmorkalov:as/win32_arm_warning
Supress build warnings on Win32 for ARM
2024-04-10 09:50:30 +03:00
Alexander Smorkalov 9ced486497 Merge pull request #25381 from gmatheu:v4.x_js_markdown_typo
Fixing code example on js image display documentation
2024-04-10 09:21:08 +03:00
Alexander Smorkalov b3e863fee4 Merge pull request #25380 from mshabunin:fix-calib-tests
calib3d: increased AP3P test threshold for RISC-V platform
2024-04-10 08:39:18 +03:00
Maksim Shabunin 148b2ec3e0 calib3d: increased AP3P test threshold for RISC-V platform 2024-04-09 23:53:50 +03:00
Gonzalo Matheu cb339ac6d1 Fixing code example on
js_image_display markdown
2024-04-09 16:06:08 -03:00
Maksim Shabunin f37924796f Merge pull request #25364 from mshabunin:fix-unaligned-filter
imgproc: fix unaligned memory access in filters and Gaussian blur #25364

* filter/SIMD: removed parts which casted 8u pointers to int causing unaligned memory access on RISC-V platform.
* GaussianBlur/fixed_point: replaced casts from s16 to u32 with union operations

Performance comparison:
- [x] check performance on x86_64 - (4 threads, `-DCPU_BASELINE=AVX2`, GCC 11.4, Ubuntu 22) - [report_imgproc_x86_64.ods](https://github.com/opencv/opencv/files/14904702/report_x86_64.ods)
- [x] check performance on AArch64 - (4 cores of RK3588, GCC 11.4 aarch64, Raspbian) - [report_imgproc_aarch64.ods](https://github.com/opencv/opencv/files/14908437/report_aarch64.ods)

Note: for some reason my performance results are quite unstable, unaffected functions show speedups and slowdowns in many cases. Filter2D and GaussianBlur seem to be OK.

Slightly related PR: https://github.com/opencv/ci-gha-workflow/pull/165
2024-04-09 17:44:36 +03:00
Alessandro de Oliveira Faria (A.K.A.CABELO) 953581a92a Merge pull request #25357 from cabelo:yolov8m
Added and tested yolov8m model. #25357

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

Below is evidence of the test:
![yolov8m](https://github.com/opencv/opencv/assets/675645/f9bfe2c6-fe4a-42fc-93a6-17e4da5c9bb5)
2024-04-09 16:56:07 +03:00
Alexander Smorkalov e4677fbf64 Merge pull request #25361 from hanliutong:rvv-f32
Further optimize fastDepthwiseConv for RISC-V Vector.
2024-04-09 16:04:02 +03:00
Alexander Smorkalov 4221ae1d64 Supress build warnings on Win32 for ARM. 2024-04-09 12:57:23 +03:00
Alexander Smorkalov b0d905864d Merge pull request #25371 from alexlyulkov:al/adaptive-threshold-tests
Added tests for adaptiveThreshold and sepFilter2D
2024-04-09 11:51:00 +03:00
Maksim Shabunin a25132986a Merge pull request #25146 from mshabunin:cpp-contours
Reworked findContours to reduce C-API usage #25146

What is done:
* rewritten `findContours` and `icvApproximateChainTC89` using C++ data structures
* extracted LINK_RUNS mode to separate new public functions - `findContoursLinkRuns` (it uses completely different algorithm)
* ~added new public `cv::approximateChainTC89`~ - ** decided to hide it**
* enabled chain code output (method = 0, no public enum value for this in C++ yet)
* kept old function as `findContours_old` (exported, but not exposed to user)
* added more tests for findContours (`test_contours_new.cpp`), some tests compare results of old function with new one. Following tests have been added:
  * contours of random rectangle
  * contours of many small (1-2px) blobs
  * contours of random noise
  * backport of old accuracy test
  * separate test for LINK RUNS variant

What is left to be done (can be done now or later):
* improve tests: 
  * some tests have limited verification (e.g. only verify contour sizes)
  * perhaps reference data can be collected and stored
  * maybe more test variants can be added (?)
* add enum value for chain code output and a method of returning starting points (e.g. first 8 elements of returned `vector<uchar>` can represent 2 int point coordinates)
* add documentation for new functions - **✔️ DONE**
* check and improve performance (my experiment showed 0.7x-1.1x some time ago)
* remove old functions completely (?)
* change contour return order (BFS) or allow to select it (?)
* return result tree as-is (?) (new data structures should be exposed, bindings should adapt)
2024-04-09 09:37:49 +03:00
Alexander Smorkalov e5d530abae Merge pull request #25342 from asmorkalov:as/HAL_transpose
HAL interface for transpose2d.
2024-04-09 09:03:13 +03:00
Alexander Smorkalov e55cf444cc Merge pull request #25372 from CNOCycle:tflite/ShapeChecker
Add a shape checker for tflite models
2024-04-08 18:58:41 +03:00
Kumataro 8ed52cb564 Merge pull request #25356 from Kumataro:fix25345
core: doc: add note for countNonZero, hasNonZero and findNonZero #25356

Close #25345 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-08 18:47:58 +03:00
ecchen e63690a2d9 Add a shape checker for tflite models 2024-04-08 13:28:05 +00:00
Alexander Lyulkov 30889f4a90 Added tests for adaptiveThreshold and sepFilter2D 2024-04-08 13:04:50 +03:00
Alexander Smorkalov e80500828c Merge pull request #25368 from UnaNancyOwen:fix_double
Remove unnecessary floating point literal
2024-04-08 12:52:20 +03:00
Tsukasa Sugiura 5528e70f3c remove floating point literal 2024-04-08 14:52:53 +09:00
MaximSmolskiy 6b45cccc37 Take first suitable neighbor in ChessBoardDetector::findQuadNeighbors 2024-04-07 20:20:35 +03:00
Susumu IINO a0b28f8b06 Add Definition "_USE_MATH_DEFINES" for dnn plugin on Win32 build 2024-04-07 21:08:09 +09:00
Liutong HAN 5be158a2b6 Further optimize fastDepthwiseConv for RVV. 2024-04-07 11:34:41 +08:00
Alexander Alekhin 5121a1bf0d Merge pull request #25353 from LaurentBerger:typotutoenvref 2024-04-06 18:55:48 +00:00
unknown e17b8ae8a1 typo in env_reference.markdown 2024-04-06 20:07:10 +02:00
Alexander Smorkalov e1ed422bdb HALL interface for transpose2d. 2024-04-05 14:12:36 +03:00
Alexander Smorkalov e0b7f04fd2 Merge pull request #25333 from asmorkalov:as/dump_v4l2_test_frame
Added option to dump v4l2 test frame from virtual camera
2024-04-05 13:19:28 +03:00
Alexander Smorkalov 89b91fcb50 Added option to dump v4l2 test frame from virtual camera. 2024-04-04 15:50:27 +03:00
Alexander Smorkalov 2b1c8aa4db Merge pull request #25287 from catree:feat_V4L2_PIX_FMT_SGRBG8_use_cvtColor
Use cvtColor() for Bayer image color demosaicing with V4L2_PIX_FMT_SGRBG8
2024-04-04 11:57:19 +03:00
Alexander Smorkalov e665d2d636 Merge pull request #25325 from asmorkalov:as/tiff_flags
Export TIFF compression options as API and git rid of tiff.h.
2024-04-04 11:05:16 +03:00
Alexander Smorkalov bf7208e1ed Merge pull request #25322 from sepperliu:patch-1
Update highgui+HighGui.java
2024-04-04 10:23:24 +03:00
Alexander Smorkalov bd819f97f1 Merge pull request #25327 from dkurt:uninit_jump_qrcode
Resolve valgrind issue at QRCode detector
2024-04-04 10:22:24 +03:00
Dmitry Kurtaev df627e1281 Resolve valgrind issue at QRCode detector 2024-04-03 16:58:46 +03:00
Yuantao Feng 55d7e3f8cc Merge pull request #1165 from fengyuentau:gold_yolo
[BugFix] dnn (ONNX): Foce dropping constant inputs in parseClip if they are shared #25319

Resolves https://github.com/opencv/opencv/issues/25278
Merge with https://github.com/opencv/opencv_extra/pull/1165

In Gold-YOLO ,`Div` has a constant input `B=6` which is then parsed into a `Const` layer in the ONNX importer, but `Clip` also has the shared constant input `max=6` which is already a `Const` layer and then connected to `Elementwise` layer. This should not happen because in the `forward()` of `Elementwise` layer, the legacy code goes through and apply activation to each input. More details on https://github.com/opencv/opencv/issues/25278#issuecomment-2032199630.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-03 15:56:59 +03:00
catree d81cd13bb3 Use cvtColor() for Bayer image color demosaicing and for V4L2_PIX_FMT_SRGGB8, V4L2_PIX_FMT_SBGGR8, V4L2_PIX_FMT_SGBRG8, V4L2_PIX_FMT_SGRBG8 options. Update modules/videoio/test/test_v4l2.cpp test file. 2024-04-03 13:48:24 +02:00
Alexander Smorkalov 2d864c3af9 Export TIFF compression options as API and git rid of tiff.h. 2024-04-03 14:30:11 +03:00
sepperliu 45587f23db Update highgui+HighGui.java
toBufferedImage
Modifying the original array copying method here can double the speed.
2024-04-03 13:29:10 +03:00
Dmitry Kurtaev 13c95efa74 Merge pull request #25312 from dkurt:dnn_hotfix_tflite
Ownership check in TFLite importer #25312

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/25310

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-03 09:41:40 +03:00
Dmitry Kurtaev 5e09fca0f8 Skip InferList.TestStreamingInfer 2024-04-03 09:23:23 +03:00
Alexander Smorkalov 99cacaaad6 Merge pull request #25195 from MaximSmolskiy:use-initial-quads-corners-in-ChessBoardDetector-findQuadNeighbors
Use initial quads corners in ChessBoardDetector::findQuadNeighbors
2024-04-02 13:13:01 +03:00
utibenkei fdc7cb6dc1 fix build of dynamic framework for visionos 2024-04-01 22:19:47 +09:00
Alexander Smorkalov 2eedec7479 Merge pull request #25301 from zzuliys:feature/mismatch_hashcode
fix download file hash value mismatch issue
2024-04-01 11:44:57 +03:00
daiyin 93800a85b2 fix download file hash value mismatch issue 2024-04-01 10:32:37 +08:00
HAN Liutong eba158fb0c Merge pull request #25230 from hanliutong/rvv-conv
Optimize int8 layers in DNN modules by using RISC-V Vector intrinsic. #25230

This patch optimize 3 functions in the int8 layer by using RVV Native Intrinsic.

This patch was tested on QEMU using VLEN=128 and VLEN=256 on `./bin/opencv_test_dnn --gtest_filter="*Int8*"`;
On the real device (k230, VLEN=128), `EfficientDet_int8` in `opencv_perf_dnn` showed a performance improvement of 1.46x.

| Name of Test                               |  Original | optimized | Speed-up |
| ------------------------------------------ | -------- | ---------- | -------- |
| EfficientDet_int8::DNNTestNetwork::OCV/CPU | 2843.467 | 1947.013   | 1.46     |


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-31 16:47:06 +03:00
Alexander Smorkalov 8c540a56af Merge pull request #25299 from Kumataro:add_fix25274
imgcodecs: jpeg: (test) fix condition to compare rgb and cmyk jpeg
2024-03-30 11:42:34 +03:00
Alexander Smorkalov 9f123f8d74 Merge pull request #25285 from johnteslade:cgroupsv2-support
core: Add cgroupsv2 support to parallel.cpp
2024-03-30 11:26:23 +03:00
Alexander Smorkalov 95ffabffdd Merge pull request #25293 from asmorkalov:as/dct_hal_fix
Fixed HAL invocation for DCT.
2024-03-30 11:03:58 +03:00
Kumataro 9c8606e0c0 imgcodecs: jpeg: fix condition to compare rgb and cmyk jpeg 2024-03-30 13:49:08 +09:00
Kumataro 912cf2a028 Merge pull request #25280 from Kumataro:fix25274
imgcodecs: jpeg: re-support to read CMYK Jpeg #25280

Close #25274 
OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1163

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-29 17:38:06 +03:00
Yuantao Feng b758897c29 Merge pull request #25271 from fengyuentau:matmul_bias
Merge with https://github.com/opencv/opencv_extra/pull/1158

Todo:

- [x] Fix Attention pattern recognition.
- [x] Handle other backends.

Benchmark:

"VIT_B_32 OCV/CPU", M1, results in milliseconds.

| Model | 4.x | This PR |
| - | - | - |
| VIT_B_32 OCV/CPU | 87.66 | **83.83** |


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-29 17:35:23 +03:00
Alexander Smorkalov 9716bf95ae Merge pull request #25294 from asmorkalov:as/InferROI_TestStreamingInfer_supress
Skip InferROI.TestStreamingInfer as unstable as it hangs on CI time-to-time
2024-03-29 15:54:52 +03:00
Alexander Smorkalov 9fc4b61074 Merge pull request #25291 from dkurt:einsum_openvino
Einsum OpenVINO backend
2024-03-29 15:54:26 +03:00
Dmitry Kurtaev cfa42e4338 Einsum OpenVINO backend 2024-03-29 14:29:45 +03:00
Alexander Smorkalov a7d6f105e7 Skip InferROI.TestStreamingInfer as unstable as it hangs on CI time-to-time. 2024-03-29 11:33:12 +03:00
zzuliys 2b9d1a2ff8 Merge pull request #24877 from zzuliys:feature/mac
Orbbec Camera supports MacOS,Gemini2 and Gemini2L support Y16 format #24877

note:
1.Gemini2 and Gemini2L must use the latest firmware -- https://github.com/orbbec/OrbbecFirmware;
2.Administrator privileges are necessary to run on MacOS.
2024-03-29 11:23:41 +03:00
Dmitry Kurtaev 01dc010436 Merge pull request #25273 from dkurt:tflite_new_layers
TFLite new layers #25273

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/25272, https://github.com/opencv/opencv/issues/24965

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1160

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-29 11:21:13 +03:00
Alexander Smorkalov 7945f2cf40 Fixed HAL invocation for DCT. 2024-03-29 11:01:42 +03:00
thewoz afb91b552e Merge pull request #24415 from thewoz:imread
Add imread #24415

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Hello everyone,
I created this new version of the imread function and I think it can be very useful in several cases.
It is actually passed to it object on which you want to upload the image.
The advantages can be different like in case one needs to open several large images all the same in sequence.
one can use the same pointer and the system would not allocate memory each time.
2024-03-29 10:51:19 +03:00
Alexander Smorkalov 7b9de94003 Merge pull request #25255 from Kumataro:refactor_imgcodec_tiff_add_imwrite_tiff
imgcodecs: tiff: to avoid using TIFFTAG_* directly for imwrite() params.
2024-03-29 10:44:34 +03:00
Michael Klatis f87e1efd2a Merge pull request #25092 from klatism:libjpeg-upgrade
libjpeg upgrade to version 9f #25092

Upgrade libjpeg dependency from version 9d to 9f.

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-28 17:03:05 +03:00
John Slade 7f1140b48b core: Add cgroupsv2 support to parallel.cpp
The parallel code works out how many CPUs are on the system by checking
the quota it has been assigned in the Linux cgroup. The existing code
works under cgroups v1 but the file structure changed in cgroups v2.
From [1]:

    "cpu.cfs_quota_us" and "cpu.cfs_period_us" are replaced by "cpu.max"
  which contains both quota and period.

This commit add support to parallel so it will read from the cgroups v2
location. v1 support is still retained.

Resolves #25284

[1] https://github.com/torvalds/linux/commit/0d5936344f30aba0f6ddb92b030cb6a05168efe6
2024-03-28 11:52:47 +00:00
Alexander Smorkalov 1894426116 Merge pull request #25282 from asmorkalov:as/deterministic_undistort_test
Added PNG instance of image for fisheye::undistort test
2024-03-28 13:29:27 +03:00
Alexander Smorkalov fd576d9e8e Added PNG instance of image for fisheye::undistort test as JPG is decoded differently with different libjpeg versions. 2024-03-28 12:02:58 +03:00
Alexander Smorkalov a132fd401e Merge pull request #25264 from lpylpy0514:4.x
fix a bug about vittrack post-process
2024-03-28 09:53:29 +03:00
Maxim Smolskiy ff9aeaceb0 Merge pull request #25177 from MaximSmolskiy:speed-up-adaptive-image-binary-threshold-in-findChessboardCorners
Speed up adaptive threshold in findChessboardCorners #25177

### Pull Request Readiness Checklist

If `block_size` hasn't been changed between iterations for same `k`, then all `adaptiveThreshold` arguments will be same and we can reuse result from previous iteration.

I tested this PR with benchmark
```
python3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard
```
PR speed up chessboards detection by `7.5/17%` without any changes in detected chessboards number:
```
cell_img_size = 100 (default)

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.904167                      13020             14400                           0.600512
Total detected time:  107.27875600000003 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.904167                      13020             14400                           0.600512
Total detected time:  99.0223499999999 sec

----------------------------------------------------------------------------------------------------------------------------------------------

cell_img_size = 10

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.539792                       7773             14400                           4.209964
Total detected time:  2.989205999999999 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.539792                       7773             14400                           4.209964
Total detected time:  2.4802350000000013 sec
```


See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-27 15:34:54 +03:00
Michael Klatis 43666e1308 Merge pull request #25190 from klatism:android-config-flags-enhancement
Add component disable flag to android build #25190

Adding --disable flag to android sdk build script. The flag allows to exclude components from build by concatting -DWITH_XXX cmake flag to the build command. Example : --disable OPENEXR (uppercase).

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-27 15:10:40 +03:00
Maxim Smolskiy e3ff6ce0cc Merge pull request #25182 from MaximSmolskiy:increase-decomposeProjectionMatrix-precision-for-small-scales
Increase decomposeProjectionMatrix precision for small scales #25182 

### Pull Request Readiness Checklist

Fix #23733

It is checked before that `|s| > DBL_EPSILON` (if not, then `s` will be equal to `0`, but `c` will be equal to `1`, then `z` will be equal to `1` and there will be no any problems with small values), so `sqrt(c^2 + s^2) >= |s| > DBL_EPSILON` and thus small values are already taken into account before and there is no need to add `DBL_EPSILON` to `c^2 + s^2` (and I think adding `DBL_EPSILON^2` instead of `DBL_EPSILON` would be more correct).

I ran `Python` script from issue.

`NumPy` and `SciPy` results
```
*Numpy*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
Numpy, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
Numpy scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
Numpy, R.T @ R - I: 
[[-8.88178420e-16 -3.86302608e-16 -2.52050796e-17]
 [-3.86302608e-16 -5.55111512e-16  7.11675423e-18]
 [-2.52050796e-17  7.11675423e-18 -5.55111512e-16]]
Numpy scaled 1e-6, R.T @ R - I: 
[[ 2.22044605e-16 -2.00683644e-16 -1.90063998e-17]
 [-2.00683644e-16  0.00000000e+00  1.16926308e-17]
 [-1.90063998e-17  1.16926308e-17  2.22044605e-16]]

*Scipy*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
Scipy, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
Scipy scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
Scipy, R.T @ R - I: 
[[-1.11022302e-16 -8.74062812e-18 -1.26178867e-17]
 [-8.74062812e-18 -1.11022302e-16  2.07820373e-17]
 [-1.26178867e-17  2.07820373e-17 -1.11022302e-16]]
Scipy scaled 1e-6, R.T @ R - I: 
[[0.00000000e+00 4.04691435e-17 1.12452918e-16]
 [4.04691435e-17 4.44089210e-16 3.74164141e-16]
 [1.12452918e-16 3.74164141e-16 4.44089210e-16]]

*Numpy*
Numpy, P' - P:
 [[ 1.35525272e-20 -9.31736242e-21  8.47032947e-22  3.38813179e-21]
 [-3.38813179e-21  6.77626358e-21  1.69406589e-21  0.00000000e+00]
 [-1.69406589e-21  0.00000000e+00  0.00000000e+00  4.85524279e-22]]

*Scipy*
Scipy, P' - P:
 [[0.00000000e+00 8.47032947e-22 3.38813179e-21 3.38813179e-21]
 [3.38813179e-21 1.35525272e-20 1.52465931e-20 1.52465931e-20]
 [8.47032947e-22 3.38813179e-21 2.54109884e-21 3.39866995e-21]]
```

`OpenCV` results before
```
*OpenCV*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
OpenCV, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
OpenCV, R.T @ R - I: 
[[ 2.22044605e-16 -9.12253504e-17 -2.20527203e-19]
 [-9.12253504e-17  0.00000000e+00 -9.12405093e-18]
 [-2.20527203e-19 -9.12405093e-18  2.22044605e-16]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[-1.28197013e-06  1.30450769e-07  7.67357467e-09]
 [ 1.30450769e-07 -1.52141637e-06 -9.92455574e-09]
 [ 7.67357467e-09 -9.92455574e-09 -1.35328272e-06]]

*OpenCV*
OpenCV, P' - P:
 [[-6.75449076e-11  1.73936564e-11 -4.94463312e-12 -1.61106020e-11]
 [ 1.41759913e-11 -7.54512016e-11 -1.67717374e-11 -9.74644390e-12]
 [-2.90254385e-12 -2.53521998e-11 -1.49130587e-12  4.00724440e-13]]
```

`OpenCV` results after
```
*OpenCV*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
OpenCV, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
OpenCV, R.T @ R - I: 
[[ 2.22044605e-16 -9.12253504e-17 -2.20527203e-19]
 [-9.12253504e-17  0.00000000e+00 -9.12405093e-18]
 [-2.20527203e-19 -9.12405093e-18  2.22044605e-16]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[ 0.00000000e+00  4.36198333e-17 -2.66855078e-17]
 [ 4.36198333e-17  2.22044605e-16  3.17216400e-17]
 [-2.66855078e-17  3.17216400e-17 -2.22044605e-16]]

*OpenCV*
OpenCV, P' - P:
 [[ 6.77626358e-21  0.00000000e+00 -8.47032947e-22  1.69406589e-21]
 [-1.69406589e-21  6.77626358e-21  0.00000000e+00  3.38813179e-21]
 [ 8.47032947e-22  3.38813179e-21  2.11758237e-22  1.45657284e-21]]
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-27 12:43:56 +03:00
Alexander Smorkalov 5874bce144 Merge pull request #25189 from klatism:ios-build-fixes
ios build fixes
2024-03-27 10:05:32 +03:00
Alexander Smorkalov d664d8d450 Merge pull request #25183 from MaximSmolskiy:fix-bug-in-maskBoundingRect
Fix bug in maskBoundingRect
2024-03-27 09:59:53 +03:00
Alexander Smorkalov f36dbef74e Merge pull request #25269 from RoboSchmied:RoboSchmied-AGfixT56
Fix 6 typos
2024-03-26 21:00:06 +03:00
Alexander Smorkalov 4dc461717f Merge pull request #25258 from AleksandrPanov:fix_rotated_symmetric_grid
Fix detect rotated SYMMETRIC_GRID
2024-03-26 17:23:05 +03:00
Pierre Chatelier 1a537ab98f Merge pull request #24893 from chacha21:cart_polar_inplace
Added in-place support for cartToPolar and polarToCart #24893

- a fused hal::cartToPolar[32|64]f() is used instead of sequential hal::magnitude[32|64]f/hal::fastAtan[32|64]f
- ipp_polarToCart is skipped for in-place processing (it seems not to support it correctly)

relates to #24891
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-26 15:38:17 +03:00
Yuantao Feng accf200408 Merge pull request #25238 from fengyuentau:optimized_const
dnn: avoid const layer forwarding in layer norm layer and attention layer #25238

While profiling ViTs with dnn, I found `ConstLayer` can take a proportion of the inference time, which is weird. This comes from the data copy during the inference of `ConstLayer`. There is a chance that we can improve the efficiency of data copying but the easiest and most convenient way is to avoid `ConstLayer`. This PR change the way how we handle constants in layer normalization layer and attention layer, which is storing in the layer blobs instead of making constant layers for them.

Checklists:

- [x] Backend compatibility in layer normalization layer.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-26 15:09:51 +03:00
Yusuke Kameda 6e9dcb87c1 Merge pull request #25237 from YusukeKameda:4.x
doc: add note on handling of spaces in CommandLineParser #25237

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
Added note that this class will not work properly if tabs and other whitespace characters are included in the key.
The support of whitespace characters by istringstream, etc. is on hold because the future of this class is not clear compared to implementations in Python and other languages.
2024-03-26 14:20:17 +03:00
RoboSchmied 8f4dbdad0e Fix: 6 typos
Signed-off-by: Michael Seibt <github@roboschmie.de>
2024-03-26 02:32:54 +01:00
Alex eaa88e7bc7 fix detect rotated grid, added test 2024-03-25 14:07:03 +03:00
Alexander Smorkalov fc34554475 Merge pull request #25184 from dkurt:avoid_extra_memset
Avoid extra memset
2024-03-25 13:07:49 +03:00
Alexander Smorkalov aa5f7727d8 Merge pull request #25249 from carabsc:cara_changes
Added support for V4L2_PIX_FMT_SGRBG8 pixel format to V4L2 backend
2024-03-25 10:55:36 +03:00
lpylpy0514 84a1248b0a fix a bug about vittrack post-process 2024-03-25 15:40:34 +08:00
Alessandro de Oliveira Faria (A.K.A.CABELO) 4c86b287fd Merge pull request #25176 from cabelo:4.x
Added and tested yolov8s and yolov8n model #25176

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

Below is evidence of the test:
![yolos-n](https://github.com/opencv/opencv/assets/675645/f3bd19ae-85a4-4747-9fa9-f6e31257d2d5)
2024-03-25 10:02:17 +03:00
Yuantao Feng 025e7602b9 Merge pull request #25166 from fengyuentau:fix_cann_gemm
dnn (CANN): Fix incorrect shape of 1d bias in Gemm #25166

Gemm layer was refactored some time ago. Users found that the mobilenet example in https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend does not work because of incorrect shape set for 1d bias in Gemm. This PR resolves this issue.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-25 09:47:28 +03:00
Alexander Smorkalov bf2626e4db Merge pull request #25213 from mshabunin:fix-doc-buttons
doc: fix toggle buttons in some tutorials
2024-03-25 09:44:54 +03:00
Dmitry Kurtaev 0b6c9a2123 Merge pull request #25181 from dkurt:release_conv_weights
Release convolution weightsMat after usage #25181

### Pull Request Readiness Checklist

related (but not resolved): https://github.com/opencv/opencv/issues/24134

Minor memory footprint improvement. Also, adds a test for VmHWM.

RAM top memory usage (-230MB)

| YOLOv3 (237MB file) |   4.x   |    PR   |
|---------------------|---------|---------|
| no winograd         | 808 MB  | 581 MB  |
| winograd            | 1985 MB | 1750 MB |

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-25 09:03:28 +03:00
Kumataro aae77b65a5 Merge pull request #25257 from Kumataro:fix25256
3rdparty: libtiff: fix for small version expression problems for built-in tiff460 #25257

Close #25256

1. fix to show build-int libtiff version
2. fix to set value of LIBTIFF_VERSION define.

(RELEASE-DATE file coms from original libtiff 4.6.0)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-25 08:58:30 +03:00
Kumataro bbfded21ac imgcodecs: tiff: to avoid using TIFFTAG_* directly for imwrite() params.
Normaly, we sets IMWRITE_* flags for imwrite() params.
But imgcodecs expects to use some TIFFTAG_* directory.
This patch introduce IMWRITE_TIFF_ROWSPERSTRIP and
IMWRITE_TIFF_PREDICTOR instead of TIFFTAG_*.
2024-03-23 10:16:30 +09:00
Michael Klatis 52f3f5a3f6 libtiff upgrade to version 4.6.0 (#25096)
* libtiff upgrade to version 4.6.0

* fix tiffvers.h cmake generation

* temp: force build 3rd party deps from source

* remove libport.h and spintf.c

* cmake fixes

* don't use tiff_dummy_namespace on windows

* introduce numeric_types namespace alias

* include cstdint

* uint16_t is not a numeric_types type

* fix uint16 and uint32 type defs

* use standard c++ types

* remove unused files

* remove more unused files

* revert build 3rd party code from source

---------

Co-authored-by: Misha Klatis <misha.klatis@autodesk.com>
2024-03-22 04:08:16 +03:00
Yuantao Feng 3afe8ddaf8 core: Rename cv::float16_t to cv::hfloat (#25217)
* rename cv::float16_t to cv::fp16_t

* add typedef fp16_t float16_t

* remove zero(), bits() from fp16_t class

* fp16_t -> hfloat

* remove cv::float16_t::fromBits; add hfloatFromBits

* undo changes in conv_winograd_f63.simd.hpp and conv_block.simd.hpp

* undo some changes in dnn
2024-03-21 23:44:19 +03:00
Carlos Azevedo 8d5dd2e5c2 Added support for V4L2_PIX_FMT_SGRBG8 pixel format to V4L2 backend 2024-03-21 18:54:27 +00:00
Alexander Alekhin 3aefd4862c Merge pull request #25229 from giokara-oqton:fix_jpegturbo_win64 2024-03-20 01:44:21 +00:00
Alexander Alekhin 0c6fc763f4 Merge pull request #25199 from olpipi:fix_openvino_2024_0 2024-03-19 00:02:16 +00:00
Giorgos Karagounis 2fd011b6ff Fix for jpegturbo Windows build 2024-03-18 16:37:26 +01:00
Oleg Pipikin 6da2ddcf0e Fix for OpenVINO 2024.0
Remove support OpenVINO lower than 2022.1 release
Remove legacy InferenceEngine wrappers
2024-03-18 15:05:50 +04:00
Maksim Shabunin 0d413068df doc: fix toggle buttons in some tutorials 2024-03-15 01:16:12 +03:00
Alexander Alekhin 625eebad54 Merge pull request #25203 from mshabunin:fix-scalable-intrin-test 2024-03-14 09:37:13 +00:00
Alexander Alekhin 60ca3d259e Merge pull request #25204 from mshabunin:fix-rvv-vne 2024-03-14 08:38:29 +00:00
Alexander Alekhin 372b3fefea Merge pull request #25180 from mshabunin:doc-fix-javadoc 2024-03-14 08:35:56 +00:00
Maksim Shabunin 6fc926ea4d Updated RVV intrinsics and test to remove initializer_list 2024-03-13 21:16:58 +03:00
Maksim Shabunin 01a4abb2c2 RISC-V: fixed comparison of float32 vectors 2024-03-12 22:05:38 +03:00
Maksim Shabunin 8550c415ef doc: fix formulas in JavaDoc broken after Doxygen upgrade 2024-03-11 23:47:23 +03:00
MaximSmolskiy 7fe1664bbf Use initial quads corners in ChessBoardDetector::findQuadNeighbors 2024-03-10 17:49:27 +03:00
Misha Klatis 50b36ef823 ios build fixes 2024-03-08 10:22:54 -08:00
Dmitry Kurtaev 6a370ba9e7 Avoid extra memset in convolution initialization 2024-03-08 10:46:07 +03:00
MaximSmolskiy ed93384817 Fix bug in maskBoundingRect 2024-03-08 03:25:40 +03:00
Alexander Smorkalov 1eb061f89d Merge pull request #25171 from mshabunin:doc-auto-dot
doc: auto-enabling DOT support in documentation if dot executable has been found
2024-03-06 19:22:17 +03:00
Maksim Shabunin ad61e7e21d doc: auto-enabling DOT support in documentation if dot executable has been found 2024-03-06 17:34:06 +03:00
Dmitry Matveev f174363f60 Merge pull request #25055 from dmatveev:dm/value_initialized_gmat
G-API: A quick value-initialization support GMat #25055

This PR enables `GMat` objects to be value-initialized in the same way as it was done for `GScalar`s (and, possibly, other types).

- Added some helper methods in backends to distinguish if a certain G-type value initialization is supported or not;
- Added tests, including negative.

Where it is needed:

- Further extension of the OVCV backend (#24379 - will be refreshed soon);
- Further experiments with DNN module;
- Further experiments with "G-API behind UMat" sort of aggregation.

In the current form, PR can be reviewed & merged (@TolyaTalamanov please have a look)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-03-06 17:15:49 +03:00
Alexander Smorkalov 0e524ee95a Merge pull request #25145 from MaximSmolskiy:improve-contours-approximations-in-ChessBoardDetector-generateQuads-2
Improve contours approximations in ChessBoardDetector::generateQuads
2024-03-06 14:03:50 +03:00
Alexander Smorkalov 66ff71085e Merge pull request #25163 from dkurt:onnx_graph_ref
Avoid copy of ONNX graph during import
2024-03-06 10:17:15 +03:00
Alexander Smorkalov 0f468a7f35 Merge pull request #25162 from mshabunin:doc-upgrade-fix
doc: removed duplicated markdown file
2024-03-05 20:25:35 +03:00
Alexander Smorkalov 9f2494da2d Merge pull request #25160 from asmorkalov:as/backport_highgui_22754
Backport some highgui changes from #22754
2024-03-05 20:13:35 +03:00
Maksim Shabunin 7b77ebc8c3 doc: removed duplicated markdown file, fixed gapi tutorial 2024-03-05 18:47:08 +03:00
Dmitry Kurtaev 98aed21dd4 Avoid copy of ONNX graph during import 2024-03-05 18:22:46 +03:00
Alexander Smorkalov f2c38eb62f Backport some highgui changes from #22754 2024-03-05 17:49:01 +03:00
Kumataro b34ec57682 Merge pull request #25141 from Kumataro:fix25140_4.x
calib3d: doc: remove C API link (For 4.x) #25141

Related to #25140 (for 4.x)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-05 16:24:42 +03:00
Maksim Shabunin bf06e3d09f Merge pull request #25042 from mshabunin:doc-upgrade
Documentation transition to fresh Doxygen #25042

* current Doxygen version is 1.10, but we will use 1.9.8 for now due to issue with snippets (https://github.com/doxygen/doxygen/pull/10584)
* Doxyfile adapted to new version
* MathJax updated to 3.x
* `@relates` instructions removed temporarily due to issue in Doxygen (to avoid warnings)
* refactored matx.hpp - extracted matx.inl.hpp
* opencv_contrib - https://github.com/opencv/opencv_contrib/pull/3638
2024-03-05 16:19:45 +03:00
Alexander Smorkalov 0f5792a7a1 Merge pull request #25149 from asmorkalov:as/error_cleanup_backport
Partially back-port #25075 to 4.x
2024-03-05 14:38:18 +03:00
Michael Klatis bc82959184 Merge pull request #25123 from klatism:zlib-upgrade
Zlib upgrade to version 1.3.1 #25123

Upgrade zlib dependency from 1.3.0 to 1.3.1

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: Misha Klatis <misha.klatis@autodesk.com>
2024-03-05 12:40:21 +03:00
Alexander Smorkalov daa8f7dfc6 Partially back-port #25075 to 4.x 2024-03-05 12:15:39 +03:00
Alexander Smorkalov ef611df09b Merge pull request #25143 from Aman-Vishwakarma1729:4.x
A small rectification space mistake in README.md
2024-03-04 10:21:23 +03:00
Alexander Smorkalov 2d0f928934 Merge pull request #24724 from tomoaki0705:carotene_warnings
build: suppress warning ARM64 + Visual Studio build
2024-03-04 09:55:13 +03:00
Laurent Berger 5fe3933346 Merge pull request #25120 from LaurentBerger:I25103
Fixed ReduceMean layer behaviour #25120

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

https://github.com/microsoft/onnxruntime/blob/a93c31e3c9971063d8dfe45a627a80cbdcf99ed9/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc#L433-L443
2024-03-04 09:36:53 +03:00
MaximSmolskiy c346ee1c29 Improve contours approximations in ChessBoardDetector::generateQuads 2024-03-03 23:05:29 +03:00
Aman-Vishwakarma1729 f48c06c0d9 Space mistake in README.md 2024-03-03 23:37:07 +05:30
Yuya Unno 500c55a808 Merge pull request #25122 from unnonouno:pqueue
Use std::priority_queue in inpaint function for performance improvement #25122

In `cv::inpaint` implementation, it uses a priority queue with O(n) time linear search. For large images it is very slow.
I replaced it with C++'s standard library `std::priority_queue`, that uses O(log(n)) algorithm.
In my use case, it is x10 faster than the original.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-02 13:43:58 +03:00
Tomoaki Teshima 52e280e94b suppress warning ARM64 + Visual Studio build
* follow the message
2024-03-02 19:08:20 +09:00
Alexander Smorkalov deab144e22 Merge pull request #25130 from CSBVision:patch-6
Update net_impl.cpp and net.cpp to fix the first part of #25112
2024-03-02 12:37:47 +03:00
CSBVision e8582f2cf8 Update net_impl.cpp
See issue #25112
2024-03-01 14:56:00 +01:00
Alexander Smorkalov 396a75f2ea Merge pull request #25125 from asmorkalov:as/backport_imgproc_c_removal
Partially backport C API removal in imgproc module to reduce conflicts with 5.x
2024-03-01 12:30:52 +03:00
Alexander Smorkalov fc98b31c3e Partially backport C API removal in imgproc module to reduce conflicts with 5.x 2024-02-29 12:42:19 +03:00
Pierre Chatelier 5e5a035c5b Merge pull request #24621 from chacha21:remap_relative
First proposal of cv::remap with relative displacement field (#24603) #24621

Implements #24603

Currently, `remap()` is applied as `dst(x, y) <- src(mapX(x, y), mapY(x, y))` It means that the maps must be filled with absolute coordinates.

However, if one wants to remap something according to a displacement field ("warp"), the operation should be `dst(x, y) <- src(x+displacementX(x, y), y+displacementY(x, y))`

It is trivial to build a mapping from a displacement field, but it is an undesirable overhead for CPU and memory.

This PR implements the feature as an experimental option, through the optional flag WARP_RELATIVE_MAP than can be ORed to the interpolation mode.

Since the xy maps might be const, there is no attempt to add the coordinate offset to those maps, and everything is postponed on-the-fly to the very last coordinate computation before fetching `src`. Interestingly, this let `cv::convertMaps()` unchanged since the fractional part of interpolation does not care of the integer coordinate offset.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-28 17:20:33 +03:00
Yuantao Feng 5aa5c39210 Merge pull request #25076 from fengyuentau:improve_attention
dnn: try improving performance of Attention layer #25076

Checklist:

- [x] Use `Mat` over `Mat::zeros` for temporary buffer in forward
- [x] Use layer internal buffer over temporary Mat buffer
- [x] Try a single fastGemmBatch on the Q/K/V calculation

Performance:

Performance test case is `Layer_Attention.VisionTransformer/0`, which has input of shape {1, 197, 768}, weight of shape {768, 2304} and bias {2304}.

Data is in millisecond.

| | macOS 14.2.1, Apple M1 | Ubuntu 22.04.2, Intel i7 12700K |
| - | - | - |
| Current | 10.96 | 1.58 |
| w/ Mat | 6.27 | 1.41 |
| w/ Internals | 5.87 | 1.38 |
| w/ fastGemmBatch | 6.12 | 2.14 |


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-02-28 16:47:08 +03:00
Alexander Smorkalov 8f83540018 Merge pull request #25069 from asmorkalov:as/disable_win_arm64_fp16
Disable fp16 instructions detection on Windows ARM64 because of build issues
2024-02-28 10:06:33 +03:00
Alexander Smorkalov f9c3c3d666 Merge pull request #25111 from asmorkalov:as/tbb_license_fix
Fixed lcense and readme filenames after TBB update
2024-02-27 16:41:09 +03:00
Alessandro de Oliveira Faria (A.K.A.CABELO) 0b3232a160 Merge pull request #25095 from cabelo:yolov8x
Added and tested yolov8x model #25095

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

Below is evidence of the test:
![opencv](https://github.com/opencv/opencv/assets/675645/40e81951-a8fd-410b-9dfc-c08254f99bdc)
2024-02-27 15:34:15 +03:00
Laurent Berger 3c712cf77d Merge pull request #25100 from LaurentBerger:I25077
Fix issue #25077 #25100

Fixes https://github.com/opencv/opencv/issues/25077

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-02-27 14:15:11 +03:00
Dhanwanth1803 c04750ab57 Merge pull request #25091 from Dhanwanth1803:scoreThresh
Fixes #25056 : Optimising postProcess(const std::vector<Mat>& output_blobs) #25091

Like mentioned in the issue #25056 , I think checking the condition with `scoreThreshold` and then assigning the bounding boxes can optimize the function pretty well. By doing this, we prevent allocating boxes to faces with scores below the threshold. It also reduces the amount of data that needs to be processed during the subsequent NMS step. Builds and passed locally.

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: Dhanwanth1803 <dhanwanthvarala@gmail,com>
2024-02-27 12:10:52 +03:00
Alexander Smorkalov facb66b8a7 Fixed lcense and readme filenames after TBB update 2024-02-27 12:06:55 +03:00
Adrian Kretz e0b489e917 Merge pull request #25050 from akretz:fix_issue_24330
Handle degenerate cases in RQDecomp3x3 #25050

The point of the Givens rotations here is to iteratively set the lower left matrix entries to zero. If an element is zero already, we don't need to do anything. This resolves #24330.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-27 08:10:21 +03:00
Alexander Smorkalov 843c09bcb0 Merge pull request #25107 from catree:fix_mistake_reprojectImageTo3D_doc
Fix mistake into the reprojectImageTo3D doc. Backport from #25083 PR.
2024-02-27 08:05:04 +03:00
catree 1c664ff673 Fix mistake into the reprojectImageTo3D doc. Backport from #25083 PR. 2024-02-26 17:08:47 +01:00
Alexander Smorkalov 4a9b0f2bf4 Merge pull request #25098 from klatism:tbb-lib-upgrade
upgrade tbb to version 2021.11.0
2024-02-26 15:06:49 +03:00
Sergei Shutov 6ca45a9d33 Merge pull request #23018 from stopmosk:move-aruco-tutorial
Move Aruco tutorials and samples to main repo #23018

merge with https://github.com/opencv/opencv_contrib/pull/3401
merge with https://github.com/opencv/opencv_extra/pull/1143

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

---------
Co-authored-by: AleksandrPanov <alexander.panov@xperience.ai>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-02-26 14:57:46 +03:00
Alexander Smorkalov faba2d8148 Merge pull request #25067 from danoli3:master
Update ios_conversions.mm - Fix Mac Catalyst compile target
2024-02-26 14:28:10 +03:00
Alexander Smorkalov 37e056c06c Merge pull request #25079 from lxk696:4.x
fix [use hasattr("cv2", "name") ,but first param is 'character string',
2024-02-26 12:46:17 +03:00
Maxim Smolskiy 853f7ff904 Merge pull request #25090 from MaximSmolskiy:compensate-edge-length-in-ChessBoardDetector-generateQuads-attempt-2
Compensate edge length in ChessBoardDetector::generateQuads (attempt 2) #25090

### Pull Request Readiness Checklist

New attempt for #24833, which was reverted as #25036.

Locally I fixed `Calib3d_StereoCalibrate_CPP.regression` test by corners refinement using `cornerSubPix` function

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-26 12:12:53 +03:00
Dan Rosser e596680939 Update ios_conversions.mm
Define fix for Mac Catalyst iOS
2024-02-26 19:21:52 +11:00
Székely Gábor 6f48cb78b6 Merge pull request #25084 from EDVTAZ:emscripten-3.1.54-compat
Add compatibility with latest (3.1.54) emsdk version #25084

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

### Details

I was following [this tutorial](https://docs.opencv.org/4.9.0/d4/da1/tutorial_js_setup.html) for building opencv with wasm target. The tutorial mentions that the last verified version of emscripten that is tested with opencv is 2.0.10, but I was curious if I could get it to work with more recent versions. I've run into a few issues with the latest version, for which fixes are included in this PR. I've found a few issues that have the same problems I encountered:

- https://github.com/opencv/opencv/issues/24620
- https://github.com/opencv/opencv/issues/20313
- https://stackoverflow.com/questions/77469603/custom-opencv-js-wasm-using-cv-matfromarray-results-in-cv-mat-is-not-a-co
- https://github.com/emscripten-core/emscripten/issues/14803
- https://github.com/opencv/opencv/issues/24572
- https://github.com/opencv/opencv/issues/19493#issuecomment-857167996

I used the docker image for building and comparing results with different emsdk versions. I tested by building with `--build_wasm` and `--build-test` flags and ran the tests in the browser. I addressed the following issues with newer versions of emscripten:

- In newer versions `EMSCRIPTEN` environemnt variable was stopped being set. I added support for deriving location based on the `EMSDK` environment variable, as suggested [here](https://github.com/emscripten-core/emscripten/issues/14803)
- In newer versions emcmake started passing `-DCMAKE...` arguments, however the opencv python script didn't know how to handle them. I added processing to the args that will forward all arguments to `cmake` that start with `-D`. I opted for this in hopes of being more futureproof, but another approach could be just ignoreing them, or explicitly forwarding them instead of matching anything starting with `-D`. These approches were suggested [here](https://github.com/opencv/opencv/issues/19493#issuecomment-855529448)
- With [version 3.1.31](https://github.com/emscripten-core/emscripten/blob/main/ChangeLog.md#3131---012623) some previously exported functions stopped being automatically exported. Because of this, `_free` and `_malloc` were no longer available and had to be explicitly exported because of breaking tests.
- With [version 3.1.42](https://github.com/emscripten-core/emscripten/compare/3.1.41...3.1.42#diff-e505aa80b2764c0197acfc9afd8179b3600f0ab5dd00ff77db01879a84515cdbL3875) the `post-js` code doesn't receive the module named as `EXPORT_NAME` anymore, but only as `moduleArg`/`Module`. This broke existing code in `helpers.js`, which was referencing exported functions through `cv.Mat`, etc. I changed all of these references to use `Module.Mat`, etc. If it is preferred, alternatively the `cv` variable could be reintroduced in `helper.js` as suggested [here](https://github.com/opencv/opencv/issues/24620)

With the above changes in place, I can successfully build and run tests with the latest emscripten/emsdk docker image (also with 2.0.10 and most of the other older tags, except for a few that contain transient issues like [this](https://github.com/emscripten-core/emscripten/issues/17700)).

This is my first time contributing to opencv, so I hope I got everything correct in this PR, but please let me know if I should change anything!
2024-02-26 10:30:56 +03:00
Misha Klatis b5c6956f31 upgrade tbb to version 2021.11.0 2024-02-25 21:51:56 -08:00
Alexander Smorkalov ae347ab493 Merge pull request #25083 from mamut-m:fix_docs_for_reprojectImageTo3D
Fixing the formula in the documentation of reprojectImageTo3D
2024-02-24 18:09:23 +03:00
Alexander Smorkalov cbec3f012d Merge pull request #25086 from ryo8000:fix-typo
Fixed typo.
2024-02-24 18:08:55 +03:00
Alexander Smorkalov a2e23fa988 Merge pull request #25059 from opencv-pushbot:gitee/alalek/core_fix_float16
core: fix float16_t optimization condition
2024-02-24 13:28:05 +03:00
Ryo H e4ef88c623 Fixed typo. 2024-02-24 18:03:18 +09:00
Markus Murschitz f9a7d3b90c changed formular in documentation of reprojectImageTo3D to fit the actual algorithm 2024-02-23 23:09:12 +01:00
刘雄康 ba483dfbb8 fix [use hasattr("cv2", "name") ,but first param is 'character string',
resulting in an error in the judgment condition]
2024-02-23 22:02:43 +08:00
Dmitry Matveev d792086ba6 Merge pull request #25060 from dmatveev:dm/gapi_test_time
G-API: Make test execution lighter (first attempt) #25060

### Background

G-API tests look running longer than tests for the rest of modules (e.g., 5m), and the analysis show that there's several outliers in G-API test suite which take a lot of time but don't improve the testing quality much:
![image](https://github.com/opencv/opencv/assets/144187/e6df013f-e548-47ac-a418-285b3f78c9f8)

In this PR I will cut the execution time to something reasonable.

### Contents

- Marked some outliers as `verylong`:
  - OneVPL barrier test - pure brute force
  - Stateful test in stream - in fact BG Sub accuracy test clone
- Restructured parameters instantiation in Streaming tests to generate less test configurations (54 -> 36)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-02-22 16:40:33 +03:00
Alexander Smorkalov 1577ae0839 Disable fp16 instructions detection on Windows ARM64 because of build issues #25052. 2024-02-22 12:52:26 +03:00
Vadim Pisarevsky 2d204243af Merge pull request #25064 from vpisarev:em_5point_fix
Fix very slow compilation of five-point algorithm on some platforms (e.g. Qualcomm) #25064

Thanks to our big friend and long-term contributor for the patch!

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-22 12:04:13 +03:00
Alexander Smorkalov 296a90ae01 Merge pull request #25062 from TinyTinni:missing-const
Adds missing const in function declaration of VideoCapture
2024-02-22 10:23:24 +03:00
Alexander Smorkalov a024d9e996 Merge pull request #24930 from asmorkalov:as/android_enable_native_aar
Enable Android samples with native part with AAR package
2024-02-22 09:31:21 +03:00
Alexander Smorkalov 6c21a80ef7 Merge pull request #24946 from alexlyulkov:al/kotlin-tests2
Added Kotlin test, changed Kotlin version for OpenCV
2024-02-22 09:30:45 +03:00
alexlyulkov 915e677866 Merge pull request #24884 from alexlyulkov:al/aar-add-kotlin
Added kotlin classes to AAR #24884 

The resulting maven repo doesn't have kotlin-plugin dependency, and it works fine out of the box: Android Kotlin projects already have kotlin-plugin dependency, Android Java projects ignore kotlin classes.

Details on KGP versions: https://kotlinlang.org/docs/gradle-configure-project.html#apply-the-plugin

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: Alexander Lyulkov <alexander.lyulkov@opencv.ai>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-02-22 09:29:24 +03:00
Matthias Möller e537e1650d adds missing const 2024-02-21 12:31:07 +01:00
Anatoliy Talamanov 5fbf3d85bf Merge pull request #25054 from TolyaTalamanov:at/gapi-lower-supported-ie-backend-version
G-API: Lower supported IE backend version #25054

Related to https://github.com/opencv/opencv/issues/25053

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-02-21 11:45:36 +03:00
Alexander Alekhin 02504e2bdb core: fix float16_t optimization condition
- resolves issue on Windows ARM64
2024-02-21 08:11:32 +00:00
Alexander Smorkalov f0e3d2f2f8 Merge pull request #25048 from opencv-pushbot:gitee/alalek/docs_move_detail
docs: move detail section of group to the top of the page
2024-02-20 15:13:03 +03:00
Vincent Rabaud f8aa2896a1 Merge pull request #25024 from vrabaud:neon
Replace legacy __ARM_NEON__ by __ARM_NEON #25024

Even ACLE 1.1 referes to __ARM_NEON
https://developer.arm.com/documentation/ihi0053/b/?lang=en

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-20 11:29:23 +03:00
Alexander Smorkalov f8ef646312 Merge pull request #25046 from AleksandrPanov:fix_QRArucoParameters
fix setArucoParameters in QRCodeDetectorAruco, add const to getArucoParameters
2024-02-20 09:29:57 +03:00
Alexander Smorkalov 54be266938 Merge pull request #25044 from akretz:fix_issue_24348
Fix testMahalanobis
2024-02-19 12:58:23 +03:00
Alexander Alekhin d84448e25c docs: move detail section of group to the top of the page 2024-02-19 08:13:22 +00:00
Alexander Smorkalov 318b7ec3e6 Merge pull request #25045 from AleksandrPanov:aruco_fix_unnecessary_copying
fix unnecessary copying in ArucoDetector
2024-02-19 09:53:12 +03:00
Alex 9e7ec59a41 fixed setArucoParameters/getArucoParameters 2024-02-19 00:12:36 +03:00
Alex e03231e6aa fix unnecessary copying 2024-02-18 23:45:49 +03:00
Adrian Kretz 3473b8a653 Generate invertible covariance matrix 2024-02-18 20:09:53 +01:00
Dhanwanth1803 12aa0fe898 Merge pull request #24985 from Dhanwanth1803:hardswish
Fixes #24974 support HardSwishInt8 #24985

As given very clearly in the issue #24974 I made the required 2 changes to implement HardSwish Layer in INT8. Requesting comments.

resolves https://github.com/opencv/opencv/issues/24974

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: Dhanwanth1803 <dhanwanthvarala@gmail,com>
2024-02-16 18:19:29 +03:00
Alexander Smorkalov bd73b7bcf5 Merge pull request #25028 from asmorkalov:as/fisheye_solvepnp
solvePnP implementation for Fisheye camera model #25028

Credits to Linfei Pan
Extracted from https://github.com/opencv/opencv/pull/24052

**Warning:** The patch changes Obj-C generator behaviour and adds "fisheye_" prefix for all ObjC functions from namespace.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: lpanaf <linpan@student.ethz.ch>
Co-authored-by: Vadim Levin <vadim.levin@xperience.ai>
2024-02-16 17:54:40 +03:00
Alexander Smorkalov 7bea25a60c Merge pull request #25030 from asmorkalov:as/fisheye_initial_f
Changed initial estimation for F in fisheye calibration
2024-02-16 17:18:43 +03:00
Alexander Panov b2db959619 Merge pull request #25035 from AleksandrPanov:fix_Barcode_detectAndDecode
Fix barcode detectAndDecode #25035

The method `detectAndDecode()` in the `BarcodeDetector` class doesn't return the barcode corners.
This PR fixes the and add test for `detectAndDecode`.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-16 16:37:49 +03:00
Adrian Kretz 68f6c81539 Merge pull request #25026 from akretz:fix_qrcode_bugs
Fix qrcode bugs #25026

This PR fixes #22892, #24011 and #24450 and adds regression tests using the images provided. I've also verified with the [benchmark](https://github.com/opencv/opencv_benchmarks/tree/develop/python_benchmarks/qr_codes) that this doesn't break anything there.

resolves #22892
resolves #24011
resolves #24450
Replaces #23802

Requires extra: https://github.com/opencv/opencv_extra/pull/1148

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-16 16:09:04 +03:00
Alexander Smorkalov 835d6dd731 Merge pull request #25036 from asmorkalov:as/revert_#24833
Reverted Compensate edge length in ChessBoardDetector::generateQuads #24833
2024-02-16 14:08:36 +03:00
Alexander Smorkalov 78a765cb81 Reverted Compensate edge length in ChessBoardDetector::generateQuads #24833 2024-02-16 12:12:00 +03:00
lpanaf b87058f7ac Changed initial estimation for F in fisheye calibration. 2024-02-15 16:22:30 +03:00
Alexander Smorkalov a9f15d7372 Merge pull request #24833 from MaximSmolskiy:compensate-edge-length-in-ChessBoardDetector-generateQuads
Compensate edge length in ChessBoardDetector::generateQuads
2024-02-15 13:22:13 +03:00
Alexander Smorkalov 2315bf52a8 Merge pull request #25023 from asmorkalov:as/aruco_doc_fix
Typo fix in Aruco documentation
2024-02-15 12:21:43 +03:00
Alexander Alekhin 4c7a70cb5f video(test): filter very long debug tests 2024-02-15 07:52:28 +00:00
Alexander Smorkalov 32db3f943d Merge pull request #25020 from y-guyon:patch-1
Remove 3 hidden leading chars in flann/dist.h
2024-02-15 09:06:07 +03:00
lpanaf 0fa538fcc8 Typo fix in Aruco documentation. 2024-02-14 16:12:10 +03:00
Yannis Guyon fefd2e5ce6 Remove 3 hidden leading chars in flann/dist.h
/**** is EF BB BF 2F 2A 2A 2A 2A instead of 2F 2A 2A 2A 2A.
2024-02-14 11:43:52 +01:00
Alexander Smorkalov 08f252d65a Merge pull request #25016 from asmorkalov/as/android_tbb_warn_supp
Suppress TBB compilation warnings visible during Android SDK build
2024-02-14 09:36:03 +03:00
Alexander Smorkalov 49367b5bec Merge pull request #25009 from asmorkalov:as/fix_issue_24679_alt
Alternative solution for QR code black/white balance computation
2024-02-13 17:01:16 +03:00
Alexander Smorkalov 559c0a0eb1 Merge pull request #24562 from savuor:fix_build_sdk
Fix for Android build script: CMake vars
2024-02-13 15:27:23 +03:00
Alexander Smorkalov b24e365454 Suppress TBB compilation warnings visible during Android SDK build. 2024-02-13 15:19:25 +03:00
Alexander Smorkalov bf5a01e297 Merge pull request #25008 from Lollyrana:Fixes/typo_in_python
Fix typo in size
2024-02-13 08:54:45 +03:00
Alexander Alekhin 073c2d9964 Merge remote-tracking branch 'upstream/3.4' 2024-02-12 18:09:16 +00:00
Alexander Alekhin d5ef86c9a4 Merge pull request #24984 from eplankin:3.4 2024-02-12 18:06:23 +00:00
Alexander Smorkalov 0424ba57d7 Alternative solution for QR code black/white balance computation. 2024-02-12 20:41:40 +03:00
Lollyrana b0201ec55f Fix_typo_size_ predefined_types.py 2024-02-12 22:55:33 +05:30
Alexander Smorkalov 82914e442c Merge pull request #24710 from MaximSmolskiy:do-not-dilate-binary-images-on-first-iteration-in-findChessboardCorners
Do not dilate binary images on first iteration in findChessboardCorners
2024-02-12 15:40:02 +03:00
Alexander Smorkalov 8d2470c035 Merge pull request #24704 from AsyaPronina:mean_scale_for_gapi_ov
Fixed support of mean/scale preprocessing in OV backend for non-real types
2024-02-12 10:43:34 +03:00
Alexander Smorkalov 51f9ff5b10 Merge pull request #24976 from Kumataro:refix23416
imgcodecs: refix test for 23416 to use perf::MatType
2024-02-12 10:22:55 +03:00
Maksym Ivashechkin f300deb569 Merge pull request #24987 from ivashmak:bugfix_infinite_loop
bug fix infinite loop #24987

Fixes #24967

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Bugfix to #24967
2024-02-12 10:16:19 +03:00
eplankin 3c73557dac Update IPPICV binaries (20231206) 2024-02-09 04:05:17 -08:00
Kumataro f5928a5be9 imgcodecs: refix 23416 to use perf::MatType 2024-02-08 12:35:29 +09:00
MaximSmolskiy bcbc74d4cd Do not dilate binary images on first iteration in findChessboardCorners 2024-02-08 01:31:29 +03:00
Alexander Lyulkov 02b3518a3b Added Kotlin test, changed Kotlin version for OpenCV 2024-02-07 11:17:36 +03:00
Alexander Smorkalov 76548e29bd Merge pull request #24969 from asmorkalov:as/android_offline
Allow multiple flags with OPENCV_GRADLE_VERBOSE_OPTIONS #24969

### Pull Request Readiness Checklist

Merge with https://github.com/opencv/ci-gha-workflow/pull/144

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-07 11:13:43 +03:00
Alexander Smorkalov 4b35b2f968 Merge pull request #24973 from asmorkalov:as/fix_weigths_proto_mess
Fix proto and weights mess in dnn performance tests
2024-02-07 11:10:32 +03:00
Alexander Smorkalov 77af137285 Fix proto and weights mess in dnn performance tests. 2024-02-07 09:16:09 +03:00
Alexander Alekhin 5abb065b3f Merge pull request #24968 from fengyuentau:fix_nary_ocl 2024-02-06 18:22:39 +00:00
Maxim Smolskiy 28d22d7b84 Merge pull request #24779 from MaximSmolskiy:fix-bug-in-ChessBoardDetector-findQuadNeighbor
Fix bug in ChessBoardDetector::findQuadNeighbors #24779

### Pull Request Readiness Checklist

`corners` and `neighbors` indices means not filling order, but relative position. So, for example if `quad->count = 2`, it doesn't mean that `quad->neighbors[0]` and `quad->neighbors[1]` are filled. And we should should iterate over all four `neighbors`.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-06 15:16:12 +03:00
fengyuentau fcaa8ce3c2 fix incorrect steps and elemsize when dtype changes 2024-02-06 16:27:25 +08:00
Alexander Smorkalov 8850a8219e Merge pull request #24956 from asmorkalov:as/android_build_offline
Added offline option for Android builds #24956

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-02-05 11:57:16 +03:00
Alexander Smorkalov 250cfe81c5 Merge pull request #24949 from hoodmane:emscripten-enable-file-system
Enable file system on Emscripten
2024-02-02 15:50:15 +03:00
Alexander Smorkalov c7021f0bc6 Merge pull request #24934 from GengGode:fix
Add CMake policy CMP0071 for AUTOMOC and AUTOUIC
2024-02-02 15:48:42 +03:00
Dmitry Kurtaev fc32903b28 Merge pull request #24548 from dkurt:qrcode_struct_append_decode
QR codes Structured Append decoding mode #24548

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23245

Merge after https://github.com/opencv/opencv/pull/24299

Current proposal is to use `detectAndDecodeMulti` or `decodeMulti` for structured append mode decoding. 0-th QR code in a sequence gets a full message while the rest of codes will correspond to empty strings.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-02-01 16:15:14 +03:00
ryanking13 422d519703 Enable file system on Emscripten 2024-01-31 11:28:59 -08:00
Alexander Smorkalov c0680ae846 Enable Android samples with native part with AAR package 2024-01-31 15:19:38 +03:00
Alexander Smorkalov ea94f7eba9 Merge pull request #24945 from asmorkalov:as/android_sample_warning_fix
Build warning fix in Tutorial4-OpenCL.
2024-01-31 15:13:04 +03:00
Alexander Smorkalov 0c6ff36ba2 Merge pull request #24947 from asmorkalov:as/android_test_with_phone
Added job to test with real hardware
2024-01-31 15:12:09 +03:00
alexlyulkov 85450816b4 Merge pull request #24910 from alexlyulkov:al/android-tests
Modified Java tests to run on Android #24910

To run the tests you need to:

1. Build OpenCV using Android pipeline. For example:
`cmake -DBUILD_TEST=ON -DANDROID=ON -DANDROID_ABI=arm64-v8a -DCMAKE_TOOLCHAIN_FILE=/usr/lib/android-sdk/ndk/25.1.8937393/build/cmake/android.toolchain.cmake -DANDROID_NDK=/usr/lib/android-sdk/ndk/25.1.8937393 -DANDROID_SDK=/usr/lib/android-sdk ../opencv`
`make`
2. Connect Android Phone
3. Run tests:
`cd android_tests`
`./gradlew tests_module:connectedAndroidTest`

Related CI pipeline: https://github.com/opencv/ci-gha-workflow/pull/138

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-01-31 15:09:57 +03:00
Alexander Smorkalov 1b4c1ff91e Added job to test with real hardware. 2024-01-31 15:05:19 +03:00
Alexander Smorkalov 145981c526 Build warning fix in Tutorial4-OpenCL. 2024-01-31 12:51:28 +03:00
Alexander Smorkalov e48b96b926 Merge pull request #24942 from asmorkalov:as/android_warning_fix
Build warning fix for Charuco tests
2024-01-31 09:48:50 +03:00
Abduragim Shtanchaev 372b36c1d3 Merge pull request #24898 from Abdurrahheem:ash/yolo_ducumentation
Documentation for Yolo usage in Opencv #24898

This PR introduces documentation for the usage of yolo detection model family in open CV. This is not to be merge before #24691, as the sample will need to be changed. 


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-01-31 09:46:58 +03:00
Alexander Smorkalov ba8915c88c Build warning fix for Charuco tests. 2024-01-30 18:18:52 +03:00
Anatoliy Talamanov 8e43c8f200 Merge pull request #24845 from TolyaTalamanov:at/concurrent-executor
G-API: Implement concurrent executor #24845

## Overview
This PR introduces the new G-API executor called `GThreadedExecutor` which can be selected when the `GComputation` is compiled in `serial` mode (a.k.a `GComputation::compile(...)`)

### ThreadPool
`cv::gapi::own::ThreadPool` has been introduced in order to abstract usage of threads in `GThreadedExecutor`.
`ThreadPool` is implemented by using  `own::concurrent_bounded_queue`

`ThreadPool` has only as single method `schedule` that will push task into the queue for the further execution.
The **important** notice is that if `Task` executed in `ThreadPool` throws exception - this is `UB`. 

### GThreadedExecutor
The `GThreadedExecutor` is mostly copy-paste of `GExecutor`, should we extend `GExecutor` instead? 

#### Implementation details
1. Build the dependency graph for `Island` nodes.
2. Store the tasks that don't have dependencies into separate `vector` in order to run them first.
3. at the `GThreadedExecutor::run()` schedule the tasks that don't have dependencies that will schedule their dependents and wait for the completion.


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-01-30 17:01:50 +03:00
Haosonn 87f749277d Merge pull request #24768 from Haosonn:pre-pr-2
Vulkan backend for NaryEltwiseLayer in DNN module #24768

We improve Vulkan backend for ``NaryEltwiseLayer`` in DNN module by:

- add a basic framework for Vulkan backend in ``NaryEltwiseLayer``
- add a compute shader for binary forwarding (an imitation of what has been done in native OpenCV backend including broadcasting and eltwise-operation)
- typo fixed:
  - Wrong info output in ``context.cpp``

Currently, our implementation (or all layers supporting Vulkan backend) runs pretty slow on discrete GPUs basically due to IO cost in function ``copyToHost``, and we are going to fix that by

- find out the best ``VkMemoryProperty`` for various discrete GPUs

- prevent ``copyToHost`` in middle layers during forwarding, (i.e keep data in GPU memory)
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: IskXCr <IskXCr@outlook.com>
2024-01-29 18:41:49 +03:00
uday 03994163b5 Merge pull request #24913 from usyntest:optical-flow-sample-raft
Raft support added in this sample code #24913

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

fix: https://github.com/opencv/opencv/issues/24424 Update DNN Optical Flow sample with RAFT model
I implemented both RAFT and FlowNet v2 leaving it to the user which one he wants to use to estimate the optical flow.

Co-authored-by: Uday Sharma <uday@192.168.1.35>
2024-01-29 17:37:52 +03:00
Alexander Smorkalov 73acf08844 Merge pull request #24919 from asmorkalov:as/python_Rect2f_Point3i
Add python bindings for Rect2f and Point3i
2024-01-29 17:36:30 +03:00
Alexander Smorkalov 8ea939f7eb Merge pull request #24929 from asmorkalov:as/imdecode_user_buffer
Do not release user-provided buffer, if image decoder failed
2024-01-29 17:33:42 +03:00
Alexander Smorkalov 54b7cafd2a Merge pull request #24936 from mshabunin:fix-rvv07-scale64f
RISC-V: fix scale64f performance for RVV 0.7
2024-01-29 17:32:51 +03:00
Alexander Smorkalov 8ed0319fee Merge pull request #24931 from mshabunin:fix-rvv07-mul
RISC-V: fix mul 8/16 bit for RVV 0.7
2024-01-29 09:33:18 +03:00
Maksim Shabunin 65784dddeb RISC-V: fix scale64f for RVV 0.7 2024-01-29 01:24:44 +03:00
Yu SuiXian a97e66eb84 Add CMake policy CMP0071 for AUTOMOC and AUTOUIC 2024-01-29 01:11:41 +08:00
Maksim Shabunin 2ea2483bec RISC-V: fix mul 8/16 bit for RVV 0.7 2024-01-27 22:41:26 +03:00
Alexander Smorkalov c9671da732 Do not release user-provided buffer, if decoder failed. 2024-01-27 13:33:39 +03:00
Alexander Alekhin efc9837df1 Merge pull request #24892 from opencv-pushbot:gitee/alalek/dnn_avoid_16s_usage
DNN: avoid CV_16S usage for FP16 #24892

**Merge after**: #24918

TODO:
- [x] measure performance changes
- [x] optimize convertTo for OpenCL: #24918

12700K iGPU:

|Name of Test|0|1|1 vs 0 (x-factor)|
|---|:-:|:-:|:-:|
|AlexNet::DNNTestNetwork::OCV/OCL_FP16|7.441|7.480|0.99|
|CRNN::DNNTestNetwork::OCV/OCL_FP16|10.776|10.736|1.00|
|DenseNet_121::DNNTestNetwork::OCV/OCL_FP16|52.762|52.833|1.00|
|EAST_text_detection::DNNTestNetwork::OCV/OCL_FP16|60.694|60.721|1.00|
|EfficientNet::DNNTestNetwork::OCV/OCL_FP16|33.373|33.173|1.01|
|FastNeuralStyle_eccv16::DNNTestNetwork::OCV/OCL_FP16|81.840|81.724|1.00|
|GoogLeNet::DNNTestNetwork::OCV/OCL_FP16|20.965|20.927|1.00|
|Inception_5h::DNNTestNetwork::OCV/OCL_FP16|22.204|22.173|1.00|
|Inception_v2_SSD_TensorFlow::DNNTestNetwork::OCV/OCL_FP16|47.115|47.460|0.99|
|MPHand::DNNTestNetwork::OCV/OCL_FP16|6.760|6.670|1.01|
|MPPalm::DNNTestNetwork::OCV/OCL_FP16|10.188|10.171|1.00|
|MPPose::DNNTestNetwork::OCV/OCL_FP16|12.510|12.561|1.00|
|MobileNet_SSD_Caffe::DNNTestNetwork::OCV/OCL_FP16|17.290|17.072|1.01|
|MobileNet_SSD_v1_TensorFlow::DNNTestNetwork::OCV/OCL_FP16|19.473|19.306|1.01|
|MobileNet_SSD_v2_TensorFlow::DNNTestNetwork::OCV/OCL_FP16|22.874|23.404|0.98|
|OpenFace::DNNTestNetwork::OCV/OCL_FP16|9.568|9.517|1.01|
|OpenPose_pose_mpi_faster_4_stages::DNNTestNetwork::OCV/OCL_FP16|539.899|539.845|1.00|
|PPHumanSeg::DNNTestNetwork::OCV/OCL_FP16|18.015|18.769|0.96|
|PPOCRv3::DNNTestNetwork::OCV/OCL_FP16|63.122|63.540|0.99|
|ResNet_50::DNNTestNetwork::OCV/OCL_FP16|34.947|34.925|1.00|
|SFace::DNNTestNetwork::OCV/OCL_FP16|10.249|10.206|1.00|
|SSD::DNNTestNetwork::OCV/OCL_FP16|213.068|213.108|1.00|
|SqueezeNet_v1_1::DNNTestNetwork::OCV/OCL_FP16|4.867|4.878|1.00|
|VIT_B_32::DNNTestNetwork::OCV/OCL_FP16|200.563|190.788|1.05|
|VitTrack::DNNTestNetwork::OCV/OCL_FP16|7.528|7.173|1.05|
|YOLOX::DNNTestNetwork::OCV/OCL_FP16|132.858|132.701|1.00|
|YOLOv3::DNNTestNetwork::OCV/OCL_FP16|209.559|208.809|1.00|
|YOLOv4::DNNTestNetwork::OCV/OCL_FP16|221.357|220.924|1.00|
|YOLOv4_tiny::DNNTestNetwork::OCV/OCL_FP16|24.446|24.382|1.00|
|YOLOv5::DNNTestNetwork::OCV/OCL_FP16|43.922|44.080|1.00|
|YOLOv8::DNNTestNetwork::OCV/OCL_FP16|64.159|63.842|1.00|
|YuNet::DNNTestNetwork::OCV/OCL_FP16|10.177|10.231|0.99|
|opencv_face_detector::DNNTestNetwork::OCV/OCL_FP16|15.121|15.445|0.98|

Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
2024-01-26 16:34:17 +03:00
Yuantao Feng 37156a4719 Merge pull request #24925 from fengyuentau:loongarch_handle_warnings
Handle warnings in loongson-related code #24925

See https://github.com/fengyuentau/opencv/actions/runs/7665377694/job/20891162958#step:14:16

Warnings needs to be handled before we add the loongson server to our CI.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-01-26 13:38:00 +03:00
Alexander Alekhin 40533dbf69 Merge pull request #24918 from opencv-pushbot:gitee/alalek/core_convertfp16_replacement
core(OpenCL): optimize convertTo() with CV_16F (convertFp16() replacement) #24918

relates #24909
relates #24917
relates #24892

Performance changes:

- [x] 12700K (1 thread) + Intel iGPU

|Name of Test|noOCL|convertFp16|convertTo BASE|convertTo PATCH|
|---|:-:|:-:|:-:|:-:|
|ConvertFP16FP32MatMat::OCL_Core|3.130|3.152|3.127|3.136|
|ConvertFP16FP32MatUMat::OCL_Core|3.030|3.996|3.007|2.671|
|ConvertFP16FP32UMatMat::OCL_Core|3.010|3.101|3.056|2.854|
|ConvertFP16FP32UMatUMat::OCL_Core|3.016|3.298|2.072|2.061|
|ConvertFP32FP16MatMat::OCL_Core|2.697|2.652|2.723|2.721|
|ConvertFP32FP16MatUMat::OCL_Core|2.752|4.268|2.662|2.947|
|ConvertFP32FP16UMatMat::OCL_Core|2.706|2.601|2.603|2.528|
|ConvertFP32FP16UMatUMat::OCL_Core|2.704|3.215|1.999|1.988|

Patched version is not worse than convertFp16 and convertTo baseline (except MatUMat 32->16, baseline uses CPU code+dst buffer map).
There are still gaps against noOpenCL(CPU only) mode due to T-API implementation issues (unnecessary synchronization).


- [x] 12700K + AMD dGPU

|Name of Test|noOCL|convertFp16 dGPU|convertTo BASE dGPU|convertTo PATCH dGPU|
|---|:-:|:-:|:-:|:-:|
|ConvertFP16FP32MatMat::OCL_Core|3.130|3.133|3.172|3.087|
|ConvertFP16FP32MatUMat::OCL_Core|3.030|1.713|9.559|1.729|
|ConvertFP16FP32UMatMat::OCL_Core|3.010|6.515|6.309|4.452|
|ConvertFP16FP32UMatUMat::OCL_Core|3.016|0.242|23.597|0.170|
|ConvertFP32FP16MatMat::OCL_Core|2.697|2.641|2.713|2.689|
|ConvertFP32FP16MatUMat::OCL_Core|2.752|4.076|6.483|4.191|
|ConvertFP32FP16UMatMat::OCL_Core|2.706|9.042|16.481|1.834|
|ConvertFP32FP16UMatUMat::OCL_Core|2.704|0.229|15.730|0.176|

convertTo-baseline can't compile OpenCL kernel for FP16 properly - FIXED.
dGPU has much more power, so results are x16-17 better than single cpu core. 
Patched version is not worse than convertFp16 and convertTo baseline.
There are still gaps against noOpenCL(CPU only) mode due to T-API implementation issues (unnecessary synchronization) and required memory transfers.

Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
2024-01-26 12:56:52 +03:00
Alexander Smorkalov ae21368eb9 Merge pull request #24832 from AryanNanda17:Aryan#22177
Resolved issue number #22177
2024-01-26 10:42:47 +03:00
Alexander Smorkalov cb92974914 Test for Rect2f in Python. 2024-01-25 18:35:03 +03:00
Alexander Smorkalov 69772b0260 Merge pull request #24873 from AleksandrPanov:fix_charuco_board
Fix generateImage for charuco chessboard
2024-01-23 15:33:56 +03:00
Alexander Smorkalov 48ba45f856 Merge pull request #24875 from tailsu:sd/jpeg-turbo-color-extensions
jpeg: use libjpeg-turbo built-in color conversions
2024-01-23 14:32:56 +03:00
AleksandrPanov 37c76b815c fix generate of charuco chessboard image, add test 2024-01-23 13:45:28 +03:00
Alexander Smorkalov 01edb50815 Merge pull request #24895 from AlphaIsNotBeta:4.x
Update windows_install.markdown - add set opencv path for vc17
2024-01-22 17:32:01 +03:00
Jun dc987c094a Update windows_install.markdown - add set opencv path for vc17 2024-01-20 19:57:23 -06:00
Sean McBride e64857c561 Merge pull request #23736 from seanm:c++11-simplifications
Removed all pre-C++11 code, workarounds, and branches #23736

This removes a bunch of pre-C++11 workrarounds that are no longer necessary as C++11 is now required.
It is a nice clean up and simplification.

* No longer unconditionally #include <array> in cvdef.h, include explicitly where needed
* Removed deprecated CV_NODISCARD, already unused in the codebase
* Removed some pre-C++11 workarounds, and simplified some backwards compat defines
* Removed CV_CXX_STD_ARRAY
* Removed CV_CXX_MOVE_SEMANTICS and CV_CXX_MOVE
* Removed all tests of CV_CXX11, now assume it's always true. This allowed removing a lot of dead code.
* Updated some documentation consequently.
* Removed all tests of CV_CXX11, now assume it's always true
* Fixed links.

---------

Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-01-19 16:53:08 +03:00
Alexander Smorkalov d066c44bce Merge pull request #24841 from mshabunin:rvv-071-update
RISC-V: updated intrin_rvv071.hpp to work with modern toolchain 2.8.0
2024-01-19 08:11:08 +03:00
Alexander Smorkalov 62ef27ac1e Merge pull request #24750 from YusukeKameda:4.x
Update applyColorMap document
2024-01-18 15:06:36 +03:00
Alexander Smorkalov e56e500cd9 Merge pull request #24878 from TolyaTalamanov:at/g-api-ifdef-openvino-api10-backend
G-API: Ifdef OpenVINO API 1.0 functionality
2024-01-18 13:59:38 +03:00
Alexander Smorkalov 72f07170f3 Merge pull request #24868 from zchrissirhcz:fix-qnx-sdp-700-build
fix qnx-sdp-700 build
2024-01-18 11:10:42 +03:00
Alexander Smorkalov e4131c0b5b Merge pull request #24880 from fengyuentau:scatter_fp16_fix
dnn: fix ocl_fp16 support of scatter layer
2024-01-18 09:15:21 +03:00
fengyuentau d269de0a03 initial commit 2024-01-18 11:17:50 +08:00
alexlyulkov bfad61f433 Merge pull request #24869 from alexlyulkov:al/android-camera-view-rotate
Added screen rotation support to JavaCamera2View amd NativeCameraView. Fixed JavaCamera2View initialization. #24869

Added automatic image rotation to JavaCamera2View and NativeCameraView so the video preview was matched with screen orientation.
Fixed double preview initialization bug in JavaCamera2View.
Added proper cameraID parsing to NativeCameraView similar to JavaCameraView

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-01-17 21:35:35 +03:00
Alexander Smorkalov d1e4bd8543 Merge pull request #24809 from Abdurrahheem:ash/yolo-nas-test
Added test for YOLO NAS
2024-01-17 20:36:15 +03:00
Maksim Shabunin 6b77f50269 RISC-V: use non-saturating 64-bit add in intrin_rvv071.hpp 2024-01-17 20:34:12 +03:00
Maksim Shabunin 224b9ee33f RISC-V: updated intrin_rvv071.hpp to work with modern toolchain 2.8.0
- intrinsics implementation (071) reworked to use modern RVV intrinsics syntax
- cmake toolchain file (071) now allows selecting from predefined configurations

Co-authored-by: Fang Sun <fangsun@linux.alibaba.com>
2024-01-17 20:34:12 +03:00
Alexander Smorkalov b647e65618 Merge pull request #24874 from alexlyulkov:al/fix-manifest-comments
Fixed AndroidManifest.xml syntax in Android camerapreview sample
2024-01-17 17:17:52 +03:00
Alexander Smorkalov ac4c0bffac Merge pull request #24813 from fengyuentau:speedup_scatter
dnn: improve scatter and scatterND speed with multi-threading
2024-01-17 17:16:50 +03:00
Zhuo Zhang 37b02d170f fix qnx-sdp-700 build
based on https://github.com/opencv/opencv/pull/24864
2024-01-17 21:49:13 +08:00
TolyaTalamanov 8ba69562b5 Ifdef OpenVINO API 1.0 usage in G-API module 2024-01-17 13:28:53 +00:00
Alexander Smorkalov 9e001d4df3 Merge pull request #24860 from asmorkalov:as/fix_python_limited_api
Downgrade LIMITED_API_VERSION, if python3 is older than 3.6
2024-01-17 14:03:53 +03:00
Alexander Lyulkov a865fd6f00 Fixed AndroidManifest.xml syntax in Android camerapreview sample 2024-01-17 13:27:59 +03:00
Stefan Dragnev dabc325cac jpeg: use libjpeg-turbo built-in color conversions 2024-01-17 11:21:25 +01:00
Alexander Smorkalov 985506c251 Downgrade LIMITED_API_VERSION, if python3 is older than 3.6. 2024-01-17 13:09:08 +03:00
Abduragim d30bf1bc3c added test for yolo nas 2024-01-17 13:01:43 +03:00
Alexander Smorkalov cc2955f21c Merge pull request #24872 from ingridwang:4.x
Replace deprecated symbols AVVideoCodecH264 and AVVideoCodecJPEG
2024-01-17 10:40:50 +03:00
_Burnside 6c39fbc33f Merge pull request #24852 from Octopus136:4.x
Make \epsilon parameter accessible in VariationalRefinement #24852

Resolves #24847

I believe this is necessary to expose \epsilon parameter.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-01-17 10:20:03 +03:00
Ingrid Wang 1a3ef9ccd4 Replace deprecated symbols AVVideoCodecH264 and AVVideoCodecJPEG 2024-01-16 16:49:58 -05:00
Alexander Smorkalov 84bb1cda4e Merge pull request #24865 from asmorkalov:as/dnn_concat_assert
Normalize axis parameter in DNN Concat to handle negative values
2024-01-16 14:39:28 +03:00
Alexander Smorkalov 582561fdc3 Merge pull request #24864 from zchrissirhcz:fix-qnx-build
Fix QNX build
2024-01-16 12:37:11 +03:00
Alexander Smorkalov 26cf82a56c Normalize axis parameter in DNN Concat to handle negative values. 2024-01-16 12:22:22 +03:00
Alexander Smorkalov 99c86bb40c Merge pull request #24556 from plctlab:rvp
Optimization based on RISC-V P Packed SIMD Extension v0.5.2
2024-01-16 11:36:31 +03:00
Alexander Smorkalov 68dc02e302 Merge pull request #24858 from Dhanwanth1803:avx-fix
Use AVX2 overload instread on AVX in AVX2 scope
2024-01-16 09:14:31 +03:00
Zhuo Zhang b04de14fbb Fix QNX build
Based on https://github.com/opencv/opencv/issues/24567
2024-01-16 13:51:22 +08:00
Letu Ren 0de26fd78e Add zlib-ng as an alternative zlib implementation
Zlib-ng is zlib replacement with optimizations for "next generation" systems. Its optimization may benifits image library decode and encode speed such as libpng. In our tests, if using zlib-ng and libpng combination on a x86_64 machine with AVX2, the time of `imdecode` amd `imencode` will drop 20% approximately. This patch enables zlib-ng's optimization if `CV_DISABLE_OPTIMIZATION` is OFF. Since Zlib-ng can dispatch intrinsics on the fly, port work is much easier.

Related discussion: https://github.com/opencv/opencv/issues/22573
2024-01-14 14:58:47 +08:00
Dhanwanth1803 a289eba357 Fixes #24677 2024-01-13 09:56:56 +05:30
Zhi-Qiang Zhou fefc7e3749 Add python bindings for Rect2f and Point3i 2024-01-13 11:14:30 +08:00
Stefan Dragnev 2791bb7062 Merge pull request #24773 from tailsu:sd/pathlike
python: accept path-like objects wherever file names are expected #24773

Merry Christmas, all 🎄

Implements #15731

Support is enabled for all arguments named `filename` or `filepath` (case-insensitive), or annotated with `CV_WRAP_FILE_PATH`.

Support is based on `PyOS_FSPath`, which is available in Python 3.6+. When running on older Python versions the arguments must have a `str` value as before.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-01-12 16:23:05 +03:00
jimmylaw21 a7fa1e6f4b Merge pull request #24610 from jimmylaw21:dnn-onnx-add-group-norm-layer
dnn onnx: add group norm layer #24610

dnn onnx: add group norm layer

Todo:

- [x] speed up by multi-threading
- [x] add perf
- [x] add backend: OpenVINO
- [x] add backend: CUDA
- [x] add backend: OpenCL (no fp16)
- [ ] add backend: CANN

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: fengyuentau <yuantao.feng@opencv.org.cn>
2024-01-12 15:13:26 +03:00
Alexander Smorkalov 97c418ab86 Merge pull request #24840 from fengyuentau:ocl_innerproduct
dnn (opencl): integrate bias handling in the inner product opencl kernel
2024-01-12 15:10:16 +03:00
Abduragim Shtanchaev c923c59833 Merge pull request #24812 from Abdurrahheem:ash/einsum_bachedGemm
Replace interactive batched Matrix Multiply. #24812

This PR replaces iterative batch matrix multiplication which `FastGemmBatch` in Einsum layer.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-01-12 14:23:43 +03:00
alexlyulkov 1e190b3094 Merge pull request #24849 from alexlyulkov:al/aar-javadoc
Modified AAR script: added javadoc to Android Maven #24849

Modified AAR script.
Now the script creates 2 maven repos. The first repo contains sources jar, javadoc jar and AAR without cpp libraries.
The second repo contains modified AAR with cpp libraries. The script merges two repos into one.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: Alexander Lyulkov <alexander.lyulkov@opencv.ai>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-01-12 14:06:12 +03:00
Alexander Smorkalov ebc637d07d Merge pull request #24843 from asmorkalov:as/android_drop_aidl
Removed Android AIDL from build scrips and tutorials as it's not need since 4.9.0
2024-01-12 13:45:39 +03:00
Alexander Smorkalov 7db54a7cc7 Merge pull request #24842 from asmorkalov:as/android_aar_docs
Document Android development with Maven Central package
2024-01-12 13:45:18 +03:00
Alexander Smorkalov 1bde621a08 Merge pull request #24837 from asmorkalov:as/python_limited_api_version
Manage Python Limited API version externally
2024-01-12 08:06:22 +03:00
Alexander Smorkalov ef8a5eb620 Merge pull request #24846 from philnelson:patch-2
Update README.md - remove IndieGoGo, add Support OpenCV page
2024-01-11 10:39:43 +03:00
Alexander Smorkalov 6eafcbb2e1 Document Android development with Maven Central package. 2024-01-11 10:38:11 +03:00
Alexander Smorkalov e2b2c3a35e Merge pull request #24827 from alexlyulkov:al/java-camera-view-orientation
Added any screen orientation support for JavaCameraView
2024-01-11 10:19:02 +03:00
Yuantao Feng e7ccff9805 Merge pull request #24834 from fengyuentau:cuda_naryeltwise_broadcast
dnn (cuda): support broadcasting if a.rank() != b.rank() #24834

Inspired by https://github.com/opencv/opencv/pull/24786. This PR keeps the fusion of `NaryEltwise` and `Concat` while addressed the data missing problem via supporting broadcasting if a.rank() != b.rank().

Resolves https://github.com/opencv/opencv/issues/23977
Resolves https://github.com/opencv/opencv/issues/24606
Resolves https://github.com/opencv/opencv/issues/24635
Resolves https://github.com/opencv/opencv/issues/24721 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-01-11 10:04:46 +03:00
fengyuentau 83acb656f1 integrate bias handling in ocl kernel 2024-01-11 11:15:17 +08:00
Phil Nelson 72aa3f2bc5 Update README.md - remove IndieGoGo, add Support OpenCV page 2024-01-10 10:18:52 -08:00
Alexander Smorkalov be1373f01a Merge pull request #24745 from tomoaki0705:cmake_follow_up
cmake: brush up the cmake part of merging option
2024-01-10 17:48:00 +03:00
Alexander Smorkalov fde99e68c0 Removed Android AIDL from build scrips and tutorials as it's not needed since 4.9.0. 2024-01-10 16:27:52 +03:00
Yuantao Feng 7fb336322d Merge pull request #24808 from fengyuentau:fix_layernorm
dnn: no layer norm fusion if axes.back() is not the axis of last dimension #24808

Merge with https://github.com/opencv/opencv_extra/pull/1137

Resolves https://github.com/opencv/opencv/issues/24797

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-01-10 13:01:00 +03:00
Alexander Smorkalov 2beacc07e8 Manage Python Limited API version externally. 2024-01-10 12:30:29 +03:00
Anastasiya Pronina 2b579b5a09 Fixed support of mean/scale preprocessing in OV backend for non-real types 2024-01-10 03:00:35 +00:00
Alexander Smorkalov 75dc334d39 Merge pull request #24788 from asmorkalov:as/android_samples_repo_typo
Fixed typo in Android build scripts.
2024-01-09 20:05:55 +03:00
Yuantao Feng c955564cb3 Merge pull request #24765 from fengyuentau:mod_operator
dnn onnx: add mod #24765

Resolves https://github.com/opencv/opencv/issues/23174

TODO:

- [x] enable some conformance tests
- [x] add backends
    - [x] CANN
    - [x] OpenVINO
    - [x] CUDA

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-01-09 19:00:17 +03:00
Alexander Smorkalov 43c1c81c8c Merge pull request #24799 from cudawarped:fix_24789
`cuda`: Fix 24789 (Cannot build opencv 4.9 with test module)
2024-01-09 15:58:41 +03:00
Alexander Smorkalov 26c44aa7c6 Merge pull request #24829 from vrabaud:aruco_fix
Make aruco detector deterministic.
2024-01-09 15:48:13 +03:00
Alexander Smorkalov 5c9ad9d2c9 Merge pull request #24828 from cudawarped:fix_24774_cap_ms
videoio: fix 24774 incorrect timestamps returned by VideoCapture when CAP_PROP_FORMAT == -1
2024-01-09 14:14:46 +03:00
Alexander Smorkalov 5c130b1429 Merge pull request #24823 from shenlebantongying:fix-qt-statusbar
fix highgui qt's statusbar text got cropped
2024-01-09 13:59:57 +03:00
Alexander Smorkalov 105eb95b02 Merge pull request #24781 from FantasqueX:remove-deprecated-cmake-variable-2
Remove deprecated CMake variable
2024-01-09 13:58:59 +03:00
Alexander Smorkalov e6d5de69fe Merge pull request #24805 from MengqingCao:dvpp_support
Link libacl_dvpp_mpi library when building with CANN backend
2024-01-09 13:57:42 +03:00
Alexander Smorkalov 7919d04a9b Merge pull request #24819 from brad0:freebsd_aarch64
Corrections for FreeBSD ARM support
2024-01-09 09:54:39 +03:00
Alexander Smorkalov 3b9794d13e Merge pull request #24820 from brad0:openbsd_build
Fix building on OpenBSD
2024-01-09 09:34:21 +03:00
MaximSmolskiy 3640217772 Compensate edge length in ChessBoardDetector::generateQuads 2024-01-08 23:13:31 +03:00
Aryan 9b402cfa59 Resolved issue number #22177 2024-01-09 01:23:26 +05:30
Vincent Rabaud bb40237498 Make aruco detector deterministic. 2024-01-08 14:57:57 +01:00
fengyuentau 13127365e2 better comment 2024-01-08 11:55:06 +08:00
Alexander Lyulkov 8ade7f6177 Added any screen orientation support for JavaCameraView 2024-01-07 20:55:57 +03:00
shenleban tongying 48fd23a02a fix highgui qt's statusbar text got cropped 2024-01-07 06:32:29 -05:00
Brad Smith a86e9f161d Fix building on OpenBSD
FAILED: lib/libopencv_core.so.13.0
...
ld: error: undefined symbol: __cxa_atexit

Do not try to use --no-undefined on OpenBSD. OpenBSD does not link
shared libraries with libc and thus linkage with --no-undefined is
expected to fail.
2024-01-07 01:26:24 -05:00
Brad Smith 3b287770b9 Corrections for FreeBSD ARM support
FreeBSD does not have the /proc file system. FreeBSD was added to the code path
for aarch64 before the use of the /proc file system with f7b4b750d8
but then /proc usage was added not long after with b3269b08a1
2024-01-06 20:09:36 -05:00
Alexander Smorkalov 9691a2dccf Merge pull request #24783 from Abdurrahheem:ash/yolov7_weights
Changed onnx weights of yolov7
2024-01-06 21:34:44 +03:00
Alexander Smorkalov 91ec3c0af2 Merge pull request #24815 from brad0:openbsd_x86_build
Fix building on OpenBSD X86
2024-01-06 21:20:56 +03:00
Alexander Smorkalov 22a8fa0730 Merge pull request #24798 from Rageking8:correct-invalid-error-directive
Correct invalid error directive
2024-01-06 12:05:07 +03:00
Alexander Smorkalov 1564be2d4c Merge pull request #24801 from theartful:better_error_msg
Better error message for missing gstreamer plugin
2024-01-06 12:00:28 +03:00
Alexander Smorkalov b8f2d58f5b Merge pull request #24807 from vrabaud:aruco_fix
Fix aruco detector thread safety.
2024-01-06 11:45:16 +03:00
Alexander Smorkalov 9af4ceed98 Merge pull request #24814 from cudawarped:fix_core_clang_warnings
core: fix clang warnings
2024-01-06 11:32:37 +03:00
Brad Smith 34a871c855 Fix building on OpenBSD X86 2024-01-06 01:41:02 -05:00
Yuantao Feng b7d70613e4 fix failed assertion in debug build 2024-01-05 18:33:01 +00:00
fengyuentau 2ed97b9ef3 multi-threaded scatterND and refactor perf 2024-01-05 18:15:59 +08:00
fengyuentau 2997b4c5fe pretty format 2024-01-05 18:15:27 +08:00
fengyuentau 63cde0b90d multi-threaded scatter and refactor perf 2024-01-05 17:24:09 +08:00
cudawarped 81865b3d52 videoio: fix incorrect timestamps returned by VideoCapture when using raw video parsing mode 2024-01-03 08:15:31 +02:00
Vincent Rabaud 14e0d43550 Fix aruco detector thread safety.
Concurrently writing to a vector<bool> is not thread-safe.
2024-01-02 22:18:35 +01:00
cudawarped 19527d79d6 core: address clang warnings 2024-01-02 08:33:55 +02:00
Ahmed Essam a25cfb463d Better error message for missing gstreamer plugin 2024-01-01 00:27:09 +02:00
cudawarped 10f6cbf41c Fix 24789 2023-12-29 16:58:05 +02:00
Rageking8 7f2c14fc4f Correct invalid error directive 2023-12-29 21:34:16 +08:00
Alexander Smorkalov a8ec658611 Merge pull request #24790 from FantasqueX:fix-avif-version-detect
Fix avif version detection
2023-12-29 16:27:59 +03:00
Alexander Smorkalov 9120121dc7 Merge pull request #24793 from Kumataro:fix24792
imgcodecs: suppress warning at test_avif.cpp
2023-12-29 16:27:41 +03:00
Alexander Smorkalov 039f68f1b0 Merge pull request #24796 from georgthegreat:patch-2
Use normal slash in #include
2023-12-29 16:26:44 +03:00
Yuriy Chernyshov 21b6f06f9d Use normal slash in #include 2023-12-29 09:55:25 +01:00
Kumataro 46b3a504cf imgcodecs: suppress warning at test_avif.cpp 2023-12-29 12:58:24 +09:00
Abduragim Shtanchaev 3b26e183cb changed weights of yolov7 2023-12-28 23:03:47 +03:00
Letu Ren 6e3685d733 Fix avif version detection
Currently, even though libavif is found, the version of libavif will not
be printed. `find_package(libavif QUIET)` will set `libavif_VERSION`
according to cmake documentation https://cmake.org/cmake/help/latest/command/find_package.html#config-mode-version-selection

This patch has been tested on ArchLinux with libavif 1.0.3 installed.
2023-12-29 00:16:52 +08:00
Alexander Smorkalov e5d1309fcf Fixed typo in Android build scripts. 2023-12-28 16:42:01 +03:00
Alexander Alekhin 2e3ccb4e8e Merge tag '4.9.0' 2023-12-28 09:29:33 +00:00
Alexander Smorkalov dad8af6b17 Release 4.9.0. 2023-12-27 19:46:55 +03:00
Alexander Smorkalov afe7c8b560 Merge pull request #24778 from asmorkalov:as/win_msmf_stream_type_check
Reworked camera stream check to exclude non-video formats
2023-12-27 19:43:17 +03:00
Alexander Smorkalov e5b5984f3c Reworked camera stream check to exclude non-video formats. 2023-12-27 17:52:42 +03:00
Letu Ren 0f1c484ea9 Remove deprecated CMake variable
CMake variable `CMAKE_COMPILER_IS_CCACHE` is marked as deprecated and "# FIXIT Avoid setting of CMAKE_ variables". It is introduced in https://github.com/opencv/opencv/pull/11167 which is before the release of 4.0. Since it's deprecated almost six years ago, I think it's OK to remove them.

Related: https://github.com/opencv/opencv/pull/24771
2023-12-27 22:26:36 +08:00
Alexander Alekhin 881cd02fe2 Merge pull request #24776 from opencv-pushbot:gitee/alalek/docs_exclude_bindings_utils 2023-12-27 08:24:57 +00:00
Alexander Alekhin 49a0877b8c docs: exclude test entites from bindings utils 2023-12-27 06:46:20 +00:00
Alexander Alekhin 1453e79ecc Merge pull request #24775 from opencv-pushbot:gitee/alalek/build_python2_disable_by_default 2023-12-27 06:36:45 +00:00
Alexander Alekhin 212795db64 build: disable Python2 detection by default 2023-12-26 21:19:36 +00:00
Alexander Smorkalov e80b7940ef Merge pull request #23021 from cudawarped:add_cuda_first_class_support
`cuda`: CMake add CUDA first class language support
2023-12-26 18:24:22 +03:00
Alexander Smorkalov c3f75c2952 Merge pull request #24764 from asmorkalov:as/python_read_only_docs
Document read-only check in Python bindings
2023-12-26 17:37:39 +03:00
Alexander Smorkalov 56aae015cd Merge pull request #24771 from FantasqueX:remove-is-clang
Remove deprecated CMake variable
2023-12-26 16:36:20 +03:00
Alexander Smorkalov 221b5c086c Merge pull request #24769 from asmorkalov:as/calib_doc_update
Added exception warning to calibrateCamera description.
2023-12-26 13:27:57 +03:00
Letu Ren e019a6738d Remove deprecated CMake variable
Two CMake variable are marked as deprecated and "#TODO next release:
remove this". It is introduced in https://github.com/opencv/opencv/pull/11167
which is before the release of 4.0. Since it's deprecated almost six
years ago, I think it's OK to remove them.
2023-12-26 18:20:23 +08:00
Alexander Smorkalov 5510e2556a Disabled ENABLE_CUDA_FIRST_CLASS_LANGUAGE by default for now to not break existing behaviour. 2023-12-26 09:58:51 +03:00
cudawarped 7d681cf80d build: first class cuda support 2023-12-26 09:39:18 +03:00
Alexander Smorkalov 03d1760dd5 Added exception warning to calibrateCamera description. 2023-12-26 09:23:11 +03:00
Alexander Smorkalov 8c22b4b54b Merge pull request #24767 from opencv-pushbot:gitee/alalek/update_ffmpeg_4.x
ffmpeg/4.x: update FFmpeg wrapper 2023.12
2023-12-25 20:55:41 +03:00
Alexander Smorkalov 46792849d4 Merge pull request #24752 from asmorkalov:as/android_aar_with_gradle
Enable Android AAR package build with SDK project itself without Python
2023-12-25 20:38:47 +03:00
Alexander Alekhin 43007af42e ffmpeg/4.x: update FFmpeg wrapper 2023.12 2023-12-25 16:49:17 +00:00
Alexander Smorkalov b59eca22ae Enable Android AAR package build with SDK project itself without Python
- Added JavaDoc package build and publishing
- Added Source package build and publishing
- More metadata for publishing
- Disable native samples build with aar, because prefab is not complete yet
2023-12-25 18:39:49 +03:00
Alexander Smorkalov 62f1a7410d Merge pull request #24766 from asmorkalov:update_version_4.9.0-pre
pre: OpenCV 4.9.0 (version++)
2023-12-25 16:04:53 +03:00
Alexander Smorkalov b407c58b96 pre: OpenCV 4.9.0 (version++). 2023-12-25 15:20:10 +03:00
Yuantao Feng f978c99523 Merge pull request #24753 from fengyuentau:einsum_importer
dnn onnx: support constaint inputs in einsum importer #24753 

Merge with https://github.com/opencv/opencv_extra/pull/1132.

Resolves https://github.com/opencv/opencv/issues/24697

Credits to @LaurentBerger.

---

This is a workaround. I suggest to get input shapes and calculate the output shapes in `getMemoryShapes` so as to keep the best compatibility. It is not always robust getting shapes during the importer stage and we should avoid that as much as possible.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-25 14:42:05 +03:00
Alexander Smorkalov bb5b5bb24d Merge pull request #24759 from jubinchheda:4.x
Replace deprecated symbol with AVVideoCodecTypeH264 deprecated since ios11
2023-12-25 13:31:12 +03:00
Alexander Smorkalov 639fd80aa3 Document read-only check in Python bindings. 2023-12-25 12:47:39 +03:00
Alexander Alekhin c38eff62b4 Merge pull request #24763 from opencv-pushbot:gitee/alalek/test_dnn_skip_update_debug 2023-12-25 09:31:33 +00:00
Kumataro dba7186378 Merge pull request #24271 from Kumataro:fix24163
Fix to convert float32 to int32/uint32 with rounding to nearest (ties to even). #24271

Fix https://github.com/opencv/opencv/issues/24163

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

(carotene is BSD)
2023-12-25 12:17:17 +03:00
Alexander Smorkalov d9d402916a Merge pull request #24754 from FantasqueX:refine-png-version-parsing
Refine logic of parsing PNG version
2023-12-25 11:59:05 +03:00
Alexander Alekhin f49b26182b dnn(test): skip very long debug tests, reduce test time 2023-12-25 08:44:06 +00:00
Alexander Alekhin 96b894e0e1 Merge pull request #24761 from opencv-pushbot:gitee/alalek/test_skip_update_win32 2023-12-25 08:27:30 +00:00
Alexander Alekhin f8502d45f9 dnn(test): skip tests on 32-bit Windows 2023-12-25 07:23:45 +00:00
JUBIN CHHEDA 049cd86ddd Replace deprecated symbol with AVVideoCodecTypeH264 2023-12-24 13:43:10 -05:00
Maxim Smolskiy 4884083019 Merge pull request #24667 from MaximSmolskiy:fix-mismatch-and-simplify-code-in-ChessBoardDetector-findQuadNeighbors
Fix mismatch and simplify code in ChessBoardDetector::findQuadNeighbors #24667

### Pull Request Readiness Checklist

Сode doesn't match comment. 
If we want check `1:4` edges ratio and `edge_len` is squared edge length, then we should check
```
ediff > 15*edge_len
```
with constant `15`, not `32`, because
```
ediff > 15*edge_len2 <=> edge_len1 - edge_len2 > 15*edge_len2 <=> edge_len1 > 16*edge_len2 <=> 1:4 edges ratio
```

But for me it's better and simpler to directly check `edge_len1 > 16*edge_len2`

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-24 11:45:20 +03:00
Alexander Smorkalov 00d7a19ec9 Merge pull request #24755 from MaximSmolskiy:fix-typos-in/imgproc/src/contours.cpp
Fix typos in imgproc/src/contours.cpp
2023-12-24 11:40:12 +03:00
Letu Ren 4546f40d8b Refine logic of parsing PNG version
Currently, if `PNG_FOUND`, cmake scripts will check include and parse
header while we can use `PNG_VERSION_STRING` conveniently. If
`BUILD_PNG`, parse version from `PNG_LIBPNG_VER_STRING` directly is more
convenient than parsing major, minor and patch and concatenate them.

The comment of png.h also supports this.
```
/* These should match the first 3 components of PNG_LIBPNG_VER_STRING: */
```
https://github.com/glennrp/libpng/blob/libpng16/png.h#L287

This patch also modifies `ocv_parse_header_version` macro to receive
another parameter to make it more general.

The reason why changing `PNG_VERSION` to `PNG_VERSION_STRING` is to be
consistent with cmake's FindPNG.

This patch removes `HAVE_LIBPNG_PNG_H` variable because `PNG_INCLUDE_DIR`
is where to find png.h, etc according to
https://cmake.org/cmake/help/latest/module/FindPNG.html.

This patch also removes `PNG_PNG_INCLUDE_DIR` variable which is an
advanced variable used in cmake's FindPNG and is not used in opencv.
2023-12-23 16:01:42 +08:00
MaximSmolskiy 315d0f581e Fix typos in imgproc/src/contours.cpp 2023-12-22 22:03:16 +03:00
Alexander Smorkalov 953dddd26b Merge pull request #24747 from asmorkalov:as/tune_vitb_cuda
Increate Vit_b test threshold a bit for CUDA FP16.
2023-12-22 17:04:46 +03:00
Alexander Smorkalov f399bdfa1a Merge pull request #24751 from dkurt:d.kurtaev/hotfix_cuda_scale
[CUDA] Hotfix Scale with 1 parameter
2023-12-22 16:52:50 +03:00
Alexander Smorkalov 2320eef72d Merge pull request #24749 from FantasqueX:fix-openjpeg-version
Fix OpenJPEG version in cmake scripts
2023-12-22 16:51:45 +03:00
Dmitry Kurtaev 938bc4d503 [CUDA] Hotfix Scale with 1 parameter 2023-12-22 15:49:27 +03:00
Yusuke Kameda 95b84a0a9b Update applyColorMap document 2023-12-22 21:22:52 +09:00
Letu Ren 4ee4479cd7 Fix OpenJPEG version in cmake scripts
Currently, if OpenJPEG is found, only version information in summary is
correct and the information right after `find_package(OpenJPEG)` is
wrong.
```
-- Found system OpenJPEG: openjp2 (found version "")
```

The reason is OpenJPEGConfig.cmake only sets `OPENJPEG_MAJOR_VERSION`,
`OPENJPEG_MINOR_VERSION` and `OPENJPEG_BUILD_VERSION` but not `OPENJPEG_VERSION`.
2023-12-22 20:14:08 +08:00
Alexander Smorkalov a050285058 Merge pull request #24741 from FantasqueX:fix-zlib-version-parse
Fix zlib version parse
2023-12-22 14:56:43 +03:00
Dhanwanth1803 027aee8ad4 Merge pull request #24384 from Dhanwanth1803:feat-crop
Fixes #22747. Support [crop] configuration for DarkNet #24384

Request for comments. This is my first PR. 

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1112

resolves https://github.com/opencv/opencv/issues/22747

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-22 14:55:01 +03:00
Alexander Smorkalov 4453c157fc Merge pull request #24744 from chacha21:cmake_cuda_help
added URL to understand CUDA options
2023-12-22 14:08:14 +03:00
Alexander Smorkalov 53cd921ab4 Increate Vit_b test threshold a bit for CUDA FP16. 2023-12-22 13:37:44 +03:00
Tomoaki Teshima cd00575257 brush up 2023-12-22 18:24:23 +09:00
chacha21 6d2064b32f added URL to understand CUDA options
A reference to https://docs.opencv.org/4.x/d2/dbc/cuda_intro.html is given.
This page is not up-to-date but it can evolve independently
2023-12-22 08:10:56 +01:00
Vadim Pisarevsky 853e5dfcdf Merge pull request #24709 from vpisarev:winograd_mode
Try to enable Winograd by default in FP32 mode and disable it by default in FP16 mode #24709

Hopefully, it will resolve regressions since 4.8.1 (see also https://github.com/opencv/opencv/pull/24587)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-22 09:22:31 +03:00
Alexander Smorkalov 35e2ef8019 Merge pull request #24740 from opencv-pushbot:gitee/alalek/ocl_fix_kernel_compilation
ocl: fix kernels compilation
2023-12-22 09:20:47 +03:00
Letu Ren 3a600db4ab Fix zlib version parse
Currently cmake scripttry to use regex to parse VER_MAJOR, VER_MINOR,
VER_REVISION from ZLIB_VERSION. However, ZLIB_VERSION is "1.3" which
means that there is no VER_REVISION.
You can reproduce using "-DBUILD_ZLIB=ON"
```
--     ZLib:                        zlib (ver 1.3.#define ZLIB_VERSION "1.3")
```

This patch add a new macro ocv_parse_header_version to extract version
information.
2023-12-22 13:49:36 +08:00
Alexander Smorkalov f5d8245801 Merge pull request #24736 from opencv-pushbot:gitee/alalek/issue_24734
dnn(ocl): don't try KERNEL_TYPE_GEMM_LIKE with kernel_w > 16
2023-12-21 20:01:01 +03:00
Alexander Smorkalov 011fd39091 Merge pull request #24737 from opencv-pushbot:gitee/alalek/issue_24735
dnn(test): tune FP16 test tolerance
2023-12-21 17:58:33 +03:00
Alexander Alekhin 3340c71a2a ocl: fix kernels compilation 2023-12-21 14:29:23 +00:00
Alexander Alekhin c9bb92d58b dnn(test): tune FP16 test tolerance 2023-12-21 13:39:05 +00:00
Alexander Alekhin 99c94d3d83 dnn(ocl): don't try KERNEL_TYPE_GEMM_LIKE with kernel_w > 16
- OpenCL kernel code doesn't support that
2023-12-21 13:30:57 +00:00
Alexander Smorkalov 8fc31ee9df Merge pull request #24732 from asmorkalov:as/android_toolchain_install
Do not install removed toolchain file for Android.
2023-12-21 12:43:43 +03:00
Alexander Smorkalov 40137b2e9e Merge pull request #24730 from mshabunin:fix-mali-opencl
OCL: fix incompatibility with Mali ruintime
2023-12-21 11:17:38 +03:00
Alexander Smorkalov c930f54063 Merge pull request #24728 from opencv-pushbot:gitee/alalek/samples_python_312
samples: add Python 3.12
2023-12-21 10:42:15 +03:00
Alexander Smorkalov f0d3bbddff Do not install removed toolchain file for Android. 2023-12-21 10:40:05 +03:00
llh721113 a30c987f87 feat: RVP052 Optimization for DNN int8layers 2023-12-21 14:51:41 +08:00
Maksim Shabunin adde942e34 OCL: fix incompatibility with Mali ruintime 2023-12-21 00:30:44 +03:00
Alexander Alekhin b1f67c83af samples: add Python 3.12 2023-12-20 21:32:46 +03:00
Yuantao Feng 0521a3a384 Merge pull request #24476 from fengyuentau:attention_layer
dnn: add attention layer #24476

Resolves #24609

Merge with: https://github.com/opencv/opencv_extra/pull/1128.

Attention operator spec from onnxruntime: https://github.com/microsoft/onnxruntime/blob/v1.16.1/docs/ContribOperators.md#com.microsoft.Attention.

TODO:
- [x] benchmark (before this PR vs. with this PR vs. ORT).
- [x] Layer fusion: Take care Slice with end=INT64_MAX.
- [x] Layer fusion: match more potential attention (VIT) patterns.
    - [x] Single-head attention is supported.
- [x] Test AttentionSubgraph fusion.
- [x] Add acc tests for VIT_B_32 and VitTrack
- [x] Add perf tests for VIT_B_32 and VitTrack

## Benchmarks

Platform: Macbook Air M1.

### Attention Subgraph

Input scale: [1, 197, 768].

|                        | mean (ms) | median (ms) | min (ms) |
| ---------------------- | --------- | ----------- | -------- |
| w/ Attention (this PR) | 3.75      | 3.68        | 3.22     |
| w/o Attention          | 9.06      | 9.01        | 8.24     |
| ORT (python)           | 4.32      | 2.63        | 2.50     |

### ViTs

All data in millisecond (ms).

| ViTs     | With Attention | Without Attention | ORT    |
| -------- | -------------- | ----------------- | ------ |
| vit_b_16 | 302.77         | 365.35            | 109.70 |
| vit_b_32 | 89.92          | 116.22            | 30.36  |
| vit_l_16 | 1593.32        | 1730.74           | 419.92 |
| vit_l_32 | 468.11         | 577.41            | 134.12 |
| VitTrack | 3.80           | 3.87              | 2.25   |

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-20 19:35:07 +03:00
thewoz e64c5dc4c6 Merge pull request #24546 from thewoz:checkerboard
Check Checkerboard Corners #24546

What I did was get you to pull out of findChessboardCorners cornres the whole part that "checks" and sorts the corners of the checkerboard if present.
The main reason for this is that findChessboardCorners is often very slow to find the corners and this depends in that the size the contrast etc of the checkerboards can be very different from each other and writing a function that works on all kinds of images is complicated. 
So I find it very useful to have the ability to write your own code to process the image and then have a function that controls or orders the corners.


### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-20 18:01:39 +03:00
Alexander Alekhin bee183f9bb Merge pull request #24723 from asmorkalov:as/android_drop_old_toolchain 2023-12-20 13:52:01 +00:00
Alexander Panov 9434c89ba0 Merge pull request #24715 from AleksandrPanov:update_android_opencl_sample
Update Android OpenCL sample #24715

Update Android OpenCL sample and tutorial text.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-20 16:23:00 +03:00
Giles Payne 3d9cb5329c Merge pull request #24136 from komakai:visionos_support
Add experimental support for Apple VisionOS platform #24136

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch

This is dependent on cmake support for VisionOs which is currently in progress.
Creating PR now to test that there are no regressions in iOS and macOS builds
2023-12-20 15:35:10 +03:00
Alexander Smorkalov abbd878eb5 Merge pull request #24576 from AsyaPronina:ot_to_python
Enable GAPI VASOT in Python
2023-12-20 15:26:01 +03:00
Alexander Smorkalov 181850e808 Drop old Android toolchain file
- The toolchain file for CMake is provided by all modern NDKs.
- The OpenCV version does not work with modern NDKs.
2023-12-20 15:19:53 +03:00
Alexander Smorkalov a61306f79a Merge pull request #24716 from asmorkalov:as/spng_warning_fix
SPNG integration warning fixes on Windows
2023-12-20 13:34:59 +03:00
Alexander Smorkalov 70b87804cf SPNG integration warning fixes. 2023-12-20 13:09:21 +03:00
Alexander Smorkalov c92815238e Merge pull request #24718 from asmorkalov/as/system_spng
Add support for external libspng. #24718

Fixes https://github.com/opencv/opencv/issues/24683
Related patch to libspng: https://github.com/randy408/libspng/pull/264

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-20 13:05:09 +03:00
Anastasiya Pronina d20727a5be Enabled VAS OT in G-API Python interface 2023-12-19 17:51:59 +00:00
Laurent Berger 3e6dcdc0a4 Merge pull request #24539 from LaurentBerger:blobrecttoimage
Add blobrecttoimage #24539

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/14659

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work #14659
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-19 20:00:04 +03:00
Yuantao Feng fa5ed62a66 Merge pull request #24694 from fengyuentau:matmul_refactor
dnn: refactor ONNX MatMul with fastGemm #24694

Done:
- [x] add backends
    - [x] CUDA
    - [x] OpenVINO
    - [x] CANN
    - [x] OpenCL
    - [x] Vulkan
- [x] add perf tests
- [x] const B case

### Benchmark

Tests are done on M1. All data is in milliseconds (ms).

| Configuration | MatMul (Prepacked) | MatMul | InnerProduct |
| - | - | - | - |
| A=[12, 197, 197], B=[12, 197, 64], trans_a=0, trans_b=0 | **0.39** | 0.41 | 1.33 |
| A=[12, 197, 64], B=[12, 64, 197], trans_a=0, trans_b=0  | **0.42** | 0.42 | 1.17 |
| A=[12, 50, 64], B=[12, 64, 50], trans_a=0, trans_b=0    | **0.13** | 0.15 | 0.33 |
| A=[12, 50, 50], B=[12, 50, 64], trans_a=0, trans_b=0    | **0.11** | 0.13 | 0.22 |
| A=[16, 197, 197], B=[16, 197, 64], trans_a=0, trans_b=0 | **0.46** | 0.54 | 1.46 |
| A=[16, 197, 64], B=[16, 64, 197], trans_a=0, trans_b=0  | **0.46** | 0.95 | 1.74 |
| A=[16, 50, 64], B=[16, 64, 50], trans_a=0, trans_b=0    | **0.18** | 0.32 | 0.43 |
| A=[16, 50, 50], B=[16, 50, 64], trans_a=0, trans_b=0    | **0.15** | 0.25 | 0.25 |

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2023-12-19 19:36:41 +03:00
Alexander Smorkalov 465e601e10 Merge pull request #24713 from MaximSmolskiy:improve-icvSmoothHistogram256
Improve icvSmoothHistogram256
2023-12-19 18:39:34 +03:00
zzuliys dfc61fbfaa Merge pull request #24666 from zzuliys:4.x
Add support for Orbbec Gemini2 and Gemini2 XL camera #24666

### Pull Request Readiness Checklist

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- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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2023-12-19 18:34:21 +03:00
Alexander Smorkalov 509c1afb8d Merge pull request #24659 from MaximSmolskiy:fix-bug-in-ChessBoardDetector-cleanFoundConnectedQuads
Fix bug in ChessBoardDetector::cleanFoundConnectedQuads
2023-12-19 16:05:29 +03:00
Alexander Smorkalov f1d33410fd Merge pull request #24717 from FantasqueX:zlib-1-3
Update 3rdparty zlib to 1.3
2023-12-19 16:02:38 +03:00
Alexander Smorkalov 283407e1ff Merge pull request #24698 from tomoaki0705:support_arm64_windows
build: prepare to build for ARM64 on Windows with Visual Studio
2023-12-19 13:19:54 +03:00
MengqingCao b6cc74f855 link libacl_dvpp_mpi library when building with CANN backend 2023-12-19 17:35:11 +08:00
Letu Ren baf07f9a03 Update 3rdparty zlib to 1.3
The opencv zlib patch is still not merged. So I applied it to zlib-1.3.
Since zlib-1.3 didn't modify CMakeLists.txt, opencv's zlib
CMakeLists.txt doesn't need to be modified.
2023-12-19 14:48:39 +08:00
Tomoaki Teshima b6ec9b9d8c prepare to build for ARM64 on Windows with Visual Studio 2023-12-19 09:40:35 +09:00
Alexander Smorkalov 7892517b3d Merge pull request #24642 from tomoaki0705:merge_features_aarch64
build: merge multiple features specified at once
2023-12-18 19:57:19 +03:00
MaximSmolskiy 398611b7e8 Improve icvSmoothHistogram256 2023-12-18 16:56:05 +03:00
Alexander Smorkalov 70618cb7bf Merge pull request #24702 from vrabaud:compilation
Empty vectors before filling them in ChessBoardDetector::processQuads
2023-12-18 16:18:43 +03:00
Tomoaki Teshima bc12e4fe55 merge multiple features specified at once
* follow the comment
2023-12-18 22:02:33 +09:00
Alexander Alekhin eb736c272e Merge pull request #24706 from Kumataro:fix24705 2023-12-17 17:01:27 +00:00
Kumataro ea3164ac77 3rdparty: update libtiff URLs 2023-12-16 10:23:22 +09:00
Rostislav Vasilikhin ccc97b5c46 Merge pull request #24700 from savuor:doc_android_win_fix
Android Tutorial for Windows Updated #24700

This PR updates Android tutorials parts related to Windows

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2023-12-15 18:07:06 +03:00
Alexander Smorkalov 1cca4bef64 Merge pull request #24689 from FantasqueX:update-libspng-0-7-4
Update 3rdparty libspng to 0.7.4
2023-12-15 17:53:42 +03:00
Vincent Rabaud 915e39cdf0 Empty vectors before filling them in ChessBoardDetector::processQuads
It seems the port in https://github.com/opencv/opencv/pull/11703 lost
the initialization.
2023-12-15 14:48:14 +01:00
Anatoliy Talamanov 1017ea4f83 Merge pull request #24601 from TolyaTalamanov:at/fix-onnxrt-include-path-in-cmake
Fix path to ONNX Runtime include folder #24601

### Pull Request Readiness Checklist

Looks the `install` directory layout has been changed for `v1.16.3`

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-15 16:21:01 +03:00
Alexander Smorkalov 0735d7b328 Merge pull request #24701 from dodo920306:4.x
Fix typo
2023-12-15 14:48:51 +03:00
Wanli 6ae1709c6a Merge pull request #24613 from WanliZhong:softmax_default_axis
Make default axis of softmax in onnx "-1" without opset option #24613

Try to solve problem: https://github.com/opencv/opencv/pull/24476#discussion_r1404821158

**ONNX**
`opset <= 11` use 1
`else` use -1

**TensorFlow**
`TF version = 2.x` use -1
`else` use 1

**Darknet, Caffe, Torch**
use 1 by definition
2023-12-15 10:41:42 +03:00
Kirin Chu fb9f75c5ba Fix typo
Changed "shough" to "should" for better clarity.
2023-12-15 09:21:23 +08:00
Alexander Alekhin 3d1f6465da Merge pull request #24696 from Kumataro:fix24695 2023-12-13 20:56:03 +00:00
Anatoliy Talamanov 9a47e1764a Merge pull request #24068 from TolyaTalamanov:at/add-onnx-coreml-execution-provider
G-API: Support CoreML Execution Providers for ONNXRT Backend #24068

### Pull Request Readiness Checklist

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- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2023-12-13 21:22:15 +03:00
Alexey Smirnov 14688e95ea Merge pull request #24658 from smirnov-alexey:as/gapi_ov_get_model_layout
G-API: Get input model layout from the IR if possible in OV 2.0 backend #24658

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2023-12-13 18:40:08 +03:00
Kumataro fdfe64e5f2 doc: use python3-minimal instead of python3-dev 2023-12-14 00:30:03 +09:00
Rostislav Vasilikhin 500fd453a1 Merge pull request #24592 from savuor:recorder_android
Android sample for VideoWriter #24592

This PR:
* adds an Android sample for video recording with MediaNDK and built-in MJPEG.
* adds a flag `--no_media_ndk` for `build_sdk.py` script to disable MediaNDK linkage.

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-13 15:54:31 +03:00
Alexander Alekhin 2e37a697b9 Merge pull request #24693 from FantasqueX:fix-spng-homepage 2023-12-13 12:22:25 +00:00
Rostislav Vasilikhin 42ab298f01 Merge pull request #24692 from savuor:doc_android_tutorial_camera
Android camera tutorial update #24692

This PR extends the OpenCV 4 Android tutorial by a simple camera app based on existing code.
This part was accidentally removed during the #24653 preparation, this PR restores it and aligns it to the latest Android Studio.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-13 14:37:23 +03:00
Letu Ren 992c527c91 Fix homepage of libspng
The current one cannot be reached. I replaced it with the one I found in
official Github repository https://github.com/randy408/libspng
2023-12-13 11:51:19 +08:00
Letu Ren 46743c1701 Update 3rdparty libspng to 0.7.4
Include three fixes:
https://github.com/randy408/libspng/commit/e68ba5df571726bf001d9ea150980463ea395a75
https://github.com/randy408/libspng/commit/6c7c8ce3729bb866eec9e94e426c3221abf402b0
https://github.com/randy408/libspng/commit/c9451cab664794dc909c4580dd1e6e013f3db512

and three chores:
https://github.com/randy408/libspng/commit/d86a11d3ab8f37e7772d52490d3b086d0e0f9bc7
https://github.com/randy408/libspng/commit/bab9f94a1186f8fda234b4e1cb65e1b9a77049cc
https://github.com/randy408/libspng/commit/fb768002d4288590083a476af628e51c3f1d47cd

I have reviewed CMakeLists.txt and I think disabling unused-variable
warning is not needed.
2023-12-12 23:05:02 +08:00
Alexander Smorkalov 850be1e087 Merge pull request #24653 from savuor:doc_android_tutorials
Android Studio tutorials rewritten
2023-12-12 17:10:11 +03:00
Rostislav Vasilikhin 5498f419df Android tutorials refresh
- Use Android Studio instead of Ecliplse.
- Use new Gradle-based OpenCV for Android SDK.
2023-12-12 16:53:49 +03:00
Alexander Smorkalov bf72e9d625 Merge pull request #24680 from AleksandrPanov:update_android_mobilenet_tutorial
Update Android mobilenet tutorial
2023-12-12 16:17:19 +03:00
AleksandrPanov 556f539531 Updated Android tutorial for MobileNet-SSD detector
- Refreshed images, links, OpenCV API.
- Added more details to Android Mobilenet sample.
- Moved to new location and re-linked tutorials.
2023-12-12 15:40:36 +03:00
Wanli 9bbc890d96 Merge pull request #24681 from WanliZhong:err_armv8
Fixed armv8 compilation warnings #24681 

Fixes the following warning on  armv8:
```
warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
```
Buildbot: https://pullrequest.opencv.org/buildbot/builders/4_x_ARMv8-lin
2023-12-12 15:38:07 +03:00
Alexander Smorkalov 3c1423c970 Merge pull request #24685 from AleksandrPanov:fix_build_grandle
fix build.gradle
2023-12-12 09:11:22 +03:00
AleksandrPanov 9814a514fa fix build.gradle 2023-12-12 02:57:06 +03:00
Wanli 6ee71fee88 Merge pull request #24547 from WanliZhong:refactor_conv_perf_test
Classify and extend convolution and depthwise performance tests #24547

This PR aims to:
1. Extend the test cases from models: `YOLOv5`, `YOLOv8`, `EfficientNet`, `YOLOX`, `YuNet`, `SFace`, `MPPalm`, `MPHand`, `MPPose`, `ViTTrack`, `PPOCRv3`, `CRNN`, `PPHumanSeg`. (371 new test cases are added)

2. Classify the existing convolution performance test to below cases
    - CONV_1x1
    - CONV_3x3_S1_D1 (winograd)
    - CONV
    - DEPTHWISE

3. Reduce unnecessary test cases by follow 3 rules (366 test cases are pruned):
(i). For all tests, except for pad and bias related parameters, all other parameters are the same. Only one case can be reserved.
(ii). When the only difference is the channel of input shape, and other parameters are the same. Only one case can be reserved in each range `[1, 3], [4, 7], [8, 15], [16, 31], [32, 63], [64, 127], [128, 255], [256, 511], [512, 1023], [1024, 2047], [2048, 4095]`
(iii). When the only difference is the width and height of input shape, and other parameters are the same. Only one case can be reserved in each range `[1, 31], [32, 63], [64, 95]... `

> **Reproduced**: 1. follow step in https://github.com/alalek/opencv/commit/dnn_dump_conv_kernels to dump all convolution cases from new models. (declared flops may not right, need to be checked manually) 2 and 3. Use the script from python code [classify conv.txt](https://github.com/opencv/opencv/files/13522228/classify.conv.txt)


**Performance test result on Apple M2**

**Test result details**:  [M2.md](https://github.com/opencv/opencv/files/13379189/M2.md)

**Additional test result details with FP16**:  [m2_results_with_fp16.zip](https://github.com/opencv/opencv/files/13491070/m2_results_with_fp16.zip)


**Brief summary for 4.8.1 vs 4.7.0 or 4.6.0**: 
1. `CONV_1x1_S1_D1` dropped significant with small or large input shape.
2. `DEPTHWISE_5x5 ` dropped a little compared with 4.7.0. 

---

**Performance test result on [Intel Core i7-12700K](https://www.intel.com/content/www/us/en/products/sku/134594/intel-core-i712700k-processor-25m-cache-up-to-5-00-ghz/specifications.html)**: 8 Performance-cores (3.60 GHz, turbo up to 4.90 GHz), 4 Efficient-cores (2.70 GHz, turbo up to 3.80 GHz), 20 threads.

**Test result details**: [INTEL.md](https://github.com/opencv/opencv/files/13374093/INTEL.md)
**Brief summary for 4.8.1 vs 4.5.5**: 
1. `CONV_5x5_S1_D1` dropped significant. 
2. `CONV_1x1_S1_D1`, `CONV_3x3_S1_D1`, `DEPTHWISE_3x3_S1_D1`, `DEPTHWISW_3x3_S2_D1` dropped with small input shape.

---

TODO:
- [x] Perform tests on arm with each opencv version
- [x] Perform tests on x86 with each opencv version
- [x] Split each test classification with single test config
- [x] test enable fp16
2023-12-11 21:35:33 +03:00
Kumataro b6b40a85e4 Merge pull request #24629 from Kumataro:add_crosscompile_with_multiarch
doc: add crosscompile_with_multiarch #24629

Add cross compile tutorial for ubuntu/debian.
( I'm sorry to my poor English. )

Fix https://github.com/opencv/opencv/issues/24628

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-11 21:29:44 +03:00
Maxim Smolskiy b1b59c87b9 Merge pull request #24605 from MaximSmolskiy:speed-up-ChessBoardDetector-findQuadNeighbors
Speed up ChessBoardDetector::findQuadNeighbors #24605

### Pull Request Readiness Checklist

Replaced brute-force algorithm with O(N^2) time complexity with kd-tree with something like O(N * log N) time complexity (maybe only in average case).

For example, on image from #23558 without quads filtering (by using `CALIB_CB_FILTER_QUADS` flag) finding chessboards corners took ~770 seconds on my laptop, of which finding quads neighbors took ~620 seconds.

Now finding chessboards corners takes ~155-160 seconds, of which finding quads neighbors takes only ~5-10 seconds.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-12-11 19:11:58 +03:00
Abduragim Shtanchaev d3dd2e463c Merge pull request #24611 from Abdurrahheem:ash/add_yolov6_test
Add test for YoloX Yolo v6 and Yolo v8 #24611

This PR adds test for YOLOv6 model (which was absent before)
The onnx weights for the test are located in this PR [ #1126](https://github.com/opencv/opencv_extra/pull/1126)

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-11 16:42:51 +03:00
Alexander Smorkalov 06ff35c9af Merge pull request #24662 from asmorkalov:as/android_native_camera
Added experimental NativeCameraView class for Android 24+.
2023-12-11 16:40:57 +03:00
Alexander Smorkalov 308f00f158 Merge pull request #24634 from jubinchheda:deprecated-ios-api-patches
The AVVideoCodecJPEG symbol was deprecated in iOS 11.0. We may want to use AVVideoCodecTypeJPEG instead
2023-12-10 21:01:34 +03:00
Peter Johnson 72a987ef5a Merge pull request #24205 from PeterJohnson:fix-msvc-arm64
ht_dec.c: Improve MSVC arm64 popcount performance #24205

Use NEON instructions for ARM64 (implementation based on https://github.com/microsoft/STL/pull/2127, which is Apache licensed).

Godbolt output here: https://godbolt.org/z/q7GPTqT14
Related patch to openjpeg: https://github.com/uclouvain/openjpeg/pull/1479

### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
2023-12-10 19:59:20 +03:00
Alexander Smorkalov e5468a88e6 Added experimental NativeCameraView class for Android 24+. 2023-12-10 19:51:55 +03:00
Alexander Smorkalov 098efb6d3d Merge pull request #24672 from dkurt:adjust_slice_optional_inputs
Replace Slice optional inputs removal to adjustment
2023-12-10 19:37:55 +03:00
Alexander Alekhin 8b577ab983 Merge pull request #24673 from tomoaki0705:roll_back_23654 2023-12-09 12:57:38 +00:00
Tomoaki Teshima b13514e33c reenable fp16 compile in old compiler 2023-12-09 10:32:21 +09:00
Dmitry Kurtaev ac4b26a561 Replace Slice optional inputs removal to adjustment 2023-12-08 23:29:52 +03:00
Alexander Alekhin 850ebec135 Merge pull request #24224 from AsyaPronina:asyadev/port_vas_ot_to_opencv 2023-12-08 11:41:25 +00:00
Alexander Alekhin 55923c8dc7 Merge pull request #24665 from opencv-pushbot:gitee/alalek/fix_winpack_vc14 2023-12-08 11:39:14 +00:00
Alexander Alekhin 681ee0ef11 Merge pull request #24664 from tomoaki0705:warning_fix_clang 2023-12-08 11:39:04 +00:00
Alexander Alekhin d9933c5403 Merge pull request #24668 from vrabaud:compilation 2023-12-08 11:38:00 +00:00
Vincent Rabaud b7348e1b65 Get code to compile without DNN 2023-12-08 10:54:59 +01:00
Alexander Smorkalov 0bf519dd05 Merge pull request #24657 from asmorkalov:as/ffmpeg_timeout_warning
Added warning, if FFmpeg pipeline was interrupted by timeout
2023-12-08 10:30:42 +03:00
Alexander Smorkalov 1cfd5acb41 Merge pull request #24640 from asmorkalov:as/android_info_lib_cleanup
Removed info lib handling in OpenCV initialization on Android
2023-12-08 08:57:38 +03:00
Alexander Alekhin 13c2320e38 cmake: use /INCREMENTAL:NO with MSVS 2015 2023-12-07 19:46:27 +00:00
Tomoaki Teshima 2146bbb7bd fix warning in Clang 10 2023-12-07 21:35:44 +09:00
MaximSmolskiy 2f0de10120 Fix bug in ChessBoardDetector::cleanFoundConnectedQuads 2023-12-06 22:46:09 +03:00
Alexander Smorkalov ad079ea5da Added warning, if FFmpeg pipeline was interrupted by timeout. 2023-12-06 20:15:08 +03:00
Alexander Smorkalov dc0c59fdc6 Merge pull request #24649 from asmorkalov:as/android_camera2_extact_request
Refactor JavaCamera2View to add option to override Camera2 session request options
2023-12-06 17:33:32 +03:00
Yuantao Feng a2edf4d929 Merge pull request #24647 from fengyuentau:cuda_sub
dnn cuda: support Sub #24647

Related https://github.com/opencv/opencv/issues/24606#issuecomment-1837390257

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-06 13:46:24 +03:00
Yuantao Feng f5ec92e4ca Merge pull request #24655 from fengyuentau:graph_simplifier_optional_input
dnn onnx graph simplifier: handle optional inputs of Slice #24655

Resolves https://github.com/opencv/opencv/issues/24609

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-12-06 13:43:54 +03:00
Alexander Smorkalov 938951f4f0 Refactor JavaCamera2View to add option to override Camera2 session request options.
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
2023-12-06 13:25:43 +03:00
Alexander Smorkalov 22edfd2628 Merge pull request #24648 from vrabaud:compilation
Fix stereoRectify image boundaries again.
2023-12-06 11:52:06 +03:00
Alexander Smorkalov 60d7dbb647 Merge pull request #24652 from asmorkalov:as/opencvai
OpenCV.AI notification.
2023-12-05 22:25:48 +03:00
Alexander Smorkalov 55d248941b Merge pull request #24651 from asmorkalov:as/android_camera2_resolution_report
Report resolution together with FPS in JavaCamera2View
2023-12-05 21:45:25 +03:00
Alexander Smorkalov 463affcebf OpenCV.AI notification. 2023-12-05 21:43:54 +03:00
Alexander Smorkalov b259342737 Merge pull request #24639 from asmorkalov:as/android_ocl_rework
Refreshed OpenCL sample for Android
2023-12-05 18:51:34 +03:00
Alexander Smorkalov b1441c9d6a Report resolution together with FPS in JavaCamera2View. 2023-12-05 18:46:23 +03:00
Anastasiya Pronina e70c8e5f0e Ported VAS Object Tracking into OpenCV G-API 2023-12-05 14:58:00 +00:00
Vincent Rabaud 7f0a094e4e Fix stereoRectify image boundaries again.
This should have been fixed in https://github.com/opencv/opencv/pull/24035
2023-12-05 13:36:17 +01:00
Alexander Smorkalov 903b66906e Merge pull request #24641 from asmorkalov:as/android_samples_drop_mk
Drop Adnroid.mk and Application.mk in samples as they are not used with Gradle
2023-12-05 14:13:29 +03:00
Alexander Smorkalov d36b959dd1 Drop Adnroid.mk and Application.mk in samples as they are not used with Gradle. 2023-12-04 16:06:33 +03:00
Alexander Smorkalov 1bf4f2386a Removed info lib handling in OpenCV initialization on Android. 2023-12-04 15:00:36 +03:00
Alexander Smorkalov 7f3b6c177f Refreshed OpenCL sample for Android. 2023-12-04 14:54:32 +03:00
Alexander Smorkalov 70e55fd7c6 Merge pull request #24630 from tomoaki0705:fix_typo_calib3d
doc: typo fix
2023-12-04 12:38:05 +03:00
alexlyulkov 81656597e9 Merge pull request #24622 from alexlyulkov:al/fixed-android-sample-img-save
Fixed problem with saving images in Android sample #24622

Fixes https://github.com/opencv/opencv/issues/24590

Current code for saving images in Android sample worked only on very old phones.
Added support for modern Android versions.

Required:
- https://github.com/opencv/ci-gha-workflow/pull/127
- https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/27
2023-12-04 10:00:40 +03:00
JUBIN CHHEDA 48e6be822c The AVVideoCodecJPEG symbol was deprecated in iOS 11.0. We may want to use AVVideoCodecTypeJPEG instead 2023-12-03 06:51:40 -05:00
Tomoaki Teshima c7ed293484 typo fix 2023-12-02 13:30:01 +09:00
Alexander Smorkalov 408730b7ab Merge pull request #24618 from vrabaud:compilation
Fix compilation on some 32-bit windows
2023-12-01 09:10:30 +03:00
Alexander Smorkalov 21d5a41e92 Merge pull request #24599 from asmorkalov:as/android_face_detect_dnn
Migrate Android Face Detection sample to DNN.
2023-11-30 17:43:26 +03:00
Alexander Smorkalov 4cfbc5af08 Merge pull request #24625 from asmorkalov:as/mjpeg_encoder_status
Report correct open status from Bitstream
2023-11-30 16:42:01 +03:00
Alexander Smorkalov 3893936243 Merge pull request #24565 from CNClareChen:4.x
Change the lsx to baseline features.
2023-11-30 15:27:49 +03:00
Alexander Smorkalov ac649b2ffd Merge pull request #24616 from asmorkalov:as/android_mobilenet_refresh
Fix Android sample mobilenet-ssd detector
2023-11-30 15:18:26 +03:00
Alexander Smorkalov 1db23e0f12 Report correct open status from Bitstream. 2023-11-30 15:16:27 +03:00
Alexander Smorkalov 9d454fed93 Fix build for Android sample mobilenet-ssd detector. 2023-11-30 12:02:03 +03:00
Alexander Smorkalov e20250139a Merge pull request #24582 from hanliutong:rvv-lut
Optimize the v_lut* functions for RISC-V Vector(RVV).
2023-11-30 10:59:51 +03:00
Maxim Smolskiy 10c43e5642 Merge pull request #24597 from MaximSmolskiy:fix-bug-in-ChessBoardDetector-findQuadNeighbors
Fix bug in ChessBoardDetector::findQuadNeighbors #24597

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-30 10:59:06 +03:00
Alexander Smorkalov d97ed516a8 Merge pull request #24619 from philnelson:patch-1
Update README.md - Add campaign and additional resources
2023-11-30 10:32:53 +03:00
Phil Nelson 2b85894826 Update README.md - Add campaign and additional resources
Added campaign info to top of README, as well as Additional Resources such as our social profiles, cool stuff submission form, and volunteer form.
2023-11-29 18:29:35 -08:00
Vincent Rabaud 0812659e92 Fix compilation on some 32-bit windows
I do not have more info on the platform as it is internal.

Without this fix, the error is:
core/src/arithm.simd.hpp:868:1: error: too few arguments provided to function-like macro invocation
  868 | DEFINE_SIMD_ALL(cmp)
      | ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:93:5: note: expanded from macro 'DEFINE_SIMD_ALL'
   93 |     DEFINE_SIMD_NSAT(fun, __VA_ARGS__)
      |     ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:89:5: note: expanded from macro 'DEFINE_SIMD_NSAT'
   89 |     DEFINE_SIMD_F64(fun, __VA_ARGS__)
      |     ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:77:9: note: expanded from macro 'DEFINE_SIMD_F64'
   77 |         DEFINE_NOSIMD(__CV_CAT(fun, 64f), double, __VA_ARGS__)
      |         ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:47:56: note: expanded from macro 'DEFINE_NOSIMD'
   47 |         DEFINE_NOSIMD_FUN(fun_name, c_type, __VA_ARGS__)
      |                                                        ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:860:9: note: macro 'DEFINE_NOSIMD_FUN' defined here
  860 | #define DEFINE_NOSIMD_FUN(fun, _T1, _Tvec, ...)     \
2023-11-29 16:27:11 +01:00
Alexander Smorkalov 5df28f1eaa Merge pull request #24615 from smirnov-alexey:as/infer2_assert_soften
G-API: Soften the argument check in infer2
2023-11-29 17:45:02 +03:00
Anatoliy Talamanov 79797a3eb6 Merge pull request #24584 from TolyaTalamanov:at/implement-inference-only-mode-for-ov-backend
G-API: Implement inference only mode for OV backend #24584

### Changes overview

Introduced `cv::gapi::wip::ov::benchmark_mode{}` compile argument which if enabled force `OpenVINO` backend to run only inference without populating input and copying back output tensors. 

This mode is only relevant for measuring the performance of pure inference without data transfers. Similar approach is using on OpenVINO side in `benchmark_app`: https://github.com/openvinotoolkit/openvino/blob/master/samples/cpp/benchmark_app/benchmark_app.hpp#L134-L139



### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-29 17:40:45 +03:00
Alexey Smirnov 0a862b5295 Soften the 0th argument check in infer2 2023-11-29 12:03:03 +00:00
Alexander Panov 7833c63388 Merge pull request #24598 from AleksandrPanov:add_android_qr_sample
Add android QR detection sample #24598

Android QR detection sample was added.

![image](https://github.com/opencv/opencv/assets/22337800/0aaf6689-36ee-4201-b609-256d3278641a)
![image](https://github.com/opencv/opencv/assets/22337800/1cf54758-2c96-4108-888b-4796d8825340)
![image](https://github.com/opencv/opencv/assets/22337800/4ecc0933-a2e6-4cc0-abae-7525213c4145)

current interface:
![image](https://github.com/opencv/opencv/assets/22337800/aff5b06d-6a9d-4762-be6e-ce20ff2c2271)


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-29 12:51:59 +03:00
Maxim Smolskiy 34c406ea3a Merge pull request #24595 from MaximSmolskiy:fix-typo-inChessBoardDetector-generateQuads
Fix typo in ChessBoardDetector::generateQuads #24595

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-29 12:28:57 +03:00
Alexander Smorkalov 7b1a5fb3de Migrate Android Face Detection sample to DNN. 2023-11-29 11:02:44 +03:00
Alexander Smorkalov 75f619fe00 Merge pull request #24607 from asmorkalov:as/serialize_android_samples_build
Serialize Android samples build in SDK script to prevent raise between gradle instances
2023-11-29 10:04:26 +03:00
Alexander Smorkalov 1ef8175c49 Merge pull request #24600 from asmorkalov:as/tutorial2_fix
Fixed regression in Android Tutorial2 initialization.
2023-11-28 15:50:39 +03:00
Alexander Smorkalov 1c4f441507 Merge pull request #24554 from asmorkalov:as/android_sdk_local_props
Android AAR package build and test with CI
2023-11-28 15:17:06 +03:00
Vincent Rabaud 06f62a3dd1 Merge pull request #24581 from vrabaud:tsan
Fix race condition in color_lab.cpp initLabTabs(). #24581

There is a race condition between when the static bool is initialized (which is thread safe) and its value check. This PR changes the static bool to a static lambda call to make it thread safe. The static_cast<void> in the end is to prevent unused variables warnings.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
2023-11-28 15:01:41 +03:00
Alexander Smorkalov 49463c4420 Merge pull request #24604 from MaximSmolskiy:fix-time-measurement-in-test-Calib3d_ChessboardDetector.timing
Fix time measurement in test Calib3d_ChessboardDetector.timing
2023-11-28 14:45:51 +03:00
Alexander Smorkalov f7d69085af Merge pull request #24608 from spacegaier:patch-1
Fix comment typo in matx.hpp
2023-11-28 13:41:53 +03:00
Abduragim Shtanchaev 5278560252 Merge pull request #24569 from Abdurrahheem:ash/padding_value_fix
Add support for custom padding in DNN preprocessing #24569

This PR add functionality for specifying value in padding.
It is required in many preprocessing pipelines in DNNs such as Yolox object detection model

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-28 11:54:09 +03:00
Philip Allgaier 9bb0a8d9e9 Fix comment typo in matx.hpp 2023-11-28 08:26:40 +01:00
Alexander Smorkalov aa6b399b5a AAR package build and test with CI
- Use the same tools and plugins for SDK build and AAR build
- Added script to test Gradle-based samples against local maven repo
- Various local fixes and debug prints
2023-11-28 10:00:56 +03:00
Alexander Smorkalov 07da2c9d10 Serialize Android samples build in SDK script to prevent raise between gradle instances. 2023-11-28 09:42:39 +03:00
MaximSmolskiy 9517fcf80d Fix time measurement in test Calib3d_ChessboardDetector.timing 2023-11-27 23:44:24 +03:00
Alexander Smorkalov 88d3e7a7ba Fixed regression in Android Tutorial2 initialization. 2023-11-27 16:13:46 +03:00
Alexander Smorkalov e9f35610a5 Merge pull request #24575 from asmorkalov:as/drop_android_engine
Drop OpenCV Manager from samples initialization
2023-11-24 14:16:43 +03:00
Dmitry Kurtaev d296d29a1c Merge pull request #24299 from dkurt:qrcode_decode
In-house QR codes decoding #24299

### Pull Request Readiness Checklist

QR codes decoding pipeline without 3rdparty dependency (Quirc library). Implemented according to standard https://github.com/yansikeim/QR-Code/blob/master/ISO%20IEC%2018004%202015%20Standard.pdf

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1124

resolves https://github.com/opencv/opencv/issues/24225
resolves https://github.com/opencv/opencv/issues/17290
resolves https://github.com/opencv/opencv/issues/24318 https://github.com/opencv/opencv/issues/24346

Resources:
* https://en.wikiversity.org/wiki/Reed%E2%80%93Solomon_codes_for_coders
* https://en.wikipedia.org/wiki/Berlekamp%E2%80%93Massey_algorithm

```
Geometric mean (ms)

                                   Name of Test                                      quirc   new2      new2   
                                                                                                        vs    
                                                                                                      quirc   
                                                                                                    (x-factor)
decode::Perf_Objdetect_Not_QRCode::("chessboard", 640x480)                           9.151   9.157     1.00   
decode::Perf_Objdetect_Not_QRCode::("chessboard", 1280x720)                         21.609  21.609     1.00   
decode::Perf_Objdetect_Not_QRCode::("chessboard", 1920x1080)                        42.088  41.924     1.00   
decode::Perf_Objdetect_Not_QRCode::("chessboard", 3840x2160)                        169.737 169.050    1.00   
decode::Perf_Objdetect_Not_QRCode::("random", 640x480)                               8.552   8.611     0.99   
decode::Perf_Objdetect_Not_QRCode::("random", 1280x720)                             21.264  21.581     0.99   
decode::Perf_Objdetect_Not_QRCode::("random", 1920x1080)                            42.415  43.468     0.98   
decode::Perf_Objdetect_Not_QRCode::("random", 3840x2160)                            175.003 174.294    1.00   
decode::Perf_Objdetect_Not_QRCode::("zero", 640x480)                                 8.528   8.421     1.01   
decode::Perf_Objdetect_Not_QRCode::("zero", 1280x720)                               21.548  21.209     1.02   
decode::Perf_Objdetect_Not_QRCode::("zero", 1920x1080)                              42.581  42.529     1.00   
decode::Perf_Objdetect_Not_QRCode::("zero", 3840x2160)                              176.231 174.410    1.01   
decode::Perf_Objdetect_QRCode::"kanji.jpg"                                           6.105   6.072     1.01   
decode::Perf_Objdetect_QRCode::"link_github_ocv.jpg"                                 6.069   6.076     1.00   
decode::Perf_Objdetect_QRCode::"link_ocv.jpg"                                        6.143   6.240     0.98   
decode::Perf_Objdetect_QRCode::"link_wiki_cv.jpg"                                    6.369   6.420     0.99   
decode::Perf_Objdetect_QRCode::"russian.jpg"                                         6.558   6.549     1.00   
decode::Perf_Objdetect_QRCode::"version_1_down.jpg"                                  5.634   5.621     1.00   
decode::Perf_Objdetect_QRCode::"version_1_left.jpg"                                  5.560   5.609     0.99   
decode::Perf_Objdetect_QRCode::"version_1_right.jpg"                                 5.539   5.631     0.98   
decode::Perf_Objdetect_QRCode::"version_1_top.jpg"                                   5.622   5.566     1.01   
decode::Perf_Objdetect_QRCode::"version_1_up.jpg"                                    5.569   5.534     1.01   
decode::Perf_Objdetect_QRCode::"version_5_down.jpg"                                  6.514   6.436     1.01   
decode::Perf_Objdetect_QRCode::"version_5_left.jpg"                                  6.668   6.479     1.03   
decode::Perf_Objdetect_QRCode::"version_5_top.jpg"                                   6.481   6.484     1.00   
decode::Perf_Objdetect_QRCode::"version_5_up.jpg"                                    7.011   6.513     1.08   
decodeMulti::Perf_Objdetect_QRCode_Multi::("2_qrcodes.png", "aruco_based")          14.885  15.089     0.99   
decodeMulti::Perf_Objdetect_QRCode_Multi::("2_qrcodes.png", "contours_based")       14.896  14.906     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_close_qrcodes.png", "aruco_based")     6.661   6.663     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_close_qrcodes.png", "contours_based")  6.614   6.592     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_qrcodes.png", "aruco_based")          14.814  14.592     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_qrcodes.png", "contours_based")       15.245  15.135     1.01   
decodeMulti::Perf_Objdetect_QRCode_Multi::("4_qrcodes.png", "aruco_based")          10.923  10.881     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("4_qrcodes.png", "contours_based")       10.680  10.128     1.05   
decodeMulti::Perf_Objdetect_QRCode_Multi::("5_qrcodes.png", "contours_based")       11.788  11.576     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("6_qrcodes.png", "aruco_based")          25.887  25.979     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("6_qrcodes.png", "contours_based")       26.183  25.627     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("7_qrcodes.png", "aruco_based")          32.786  32.253     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("7_qrcodes.png", "contours_based")       24.290  24.435     0.99   
decodeMulti::Perf_Objdetect_QRCode_Multi::("8_close_qrcodes.png", "aruco_based")    89.696  89.247     1.01   
decodeMulti::Perf_Objdetect_QRCode_Multi::("8_close_qrcodes.png", "contours_based") 89.872  89.600     1.00
```
2023-11-24 11:35:36 +03:00
Dmitry Kurtaev 332748dd55 Merge pull request #24577 from dkurt:dnn_graph_match_stack
Fix graph fusion with commutative ops #24577

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24568

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1125

TODO:
- [x]  replace recursive function to sequential

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-24 10:40:32 +03:00
skycat8 848dd12a1f Merge pull request #24553 from skycat8:yolov5
Add yolov5n to tests #24553

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ X] I agree to contribute to the project under Apache 2 License.
- [ X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ X] The PR is proposed to the proper branch
- [ X] There is a reference to the original bug report and related work
- [ X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ X] The feature is well documented and sample code can be built with the project CMake
2023-11-24 10:36:06 +03:00
Alexander Smorkalov 2830551e89 Drop OpenCV Manager from samples initialization. 2023-11-23 18:27:18 +03:00
Alexander Smorkalov 565bc3aeed Merge pull request #24574 from ajithvallabai:3.4
cudaMemset2D fix: Correct buffer height parameter
2023-11-23 15:53:11 +03:00
Liutong HAN ce0516282a Optimize the v_lut for RVV. 2023-11-23 15:06:04 +08:00
ajithvallabai 258b062295 cudaMemset2D fix: Correct buffer height parameter
Changed the height parameter in the cudaMemset2D function call to use
minSSD_buf.rows instead of disp.rows. This enures the correct buffer
height is used for memory initialization.
2023-11-22 15:57:19 +05:30
Maxim Smolskiy 2c1ec4245d Merge pull request #24527 from MaximSmolskiy:fix-out-of-image-corners-in-cv-cornersubpix
Fix out of image corners in cv::cornerSubPix #24527

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-21 15:36:43 +03:00
Yuantao Feng d05fb709f9 Merge pull request #24552 from fengyuentau:layernorm_backends
dnn: add openvino, opencl and cuda backends for layer normalization layer #24552

Merge after https://github.com/opencv/opencv/pull/24544.

Todo:

- [x] openvino
- [x] opencl
- [x] cuda

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-21 15:33:01 +03:00
Alexander Smorkalov fba3c947ef Merge pull request #24560 from asmorkalov:as/openni_status
Print warning, but not throw exceptions in cv::VideoCapture for OpenNI2
2023-11-21 15:24:27 +03:00
Alexander Smorkalov 8bbf08f0de Merge pull request #24566 from MaximSmolskiy:fix-typos-in-calibinit.cpp
Fix typos in calibinit.cpp
2023-11-21 11:37:42 +03:00
MaximSmolskiy a57ea2b775 Fix typos in calibinit.cpp 2023-11-21 09:34:54 +03:00
Hao Chen c19adb4953 Change the lsx to baseline features.
This patch change lsx to baseline feature, and lasx to dispatch
feature. Additionally, the runtime detection methods for lasx and
lsx have been modified.
2023-11-21 11:51:22 +08:00
Rostislav Vasilikhin ad6f52dc54 build script fixed 2023-11-20 14:54:05 +01:00
Maksym Ivashechkin 16928806f9 Merge pull request #24499 from ivashmak:usac_bug_fix
Replace double atomic in USAC #24499

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Reference to issue with atomic variable: #24281
Reference to bug with essential matrix: #24482
2023-11-20 15:47:35 +03:00
Alexander Smorkalov 23481b716b Print warning, but not throw exceptions in cv::VideoCapture for OpenNI2. 2023-11-20 15:04:35 +03:00
zihaomu b913e73d04 DNN: add the Winograd fp16 support (#23654)
* add Winograd FP16 implementation

* fixed dispatching of FP16 code paths in dnn; use dynamic dispatcher only when NEON_FP16 is enabled in the build and the feature is present in the host CPU at runtime

* fixed some warnings

* hopefully fixed winograd on x64 (and maybe other platforms)

---------

Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
2023-11-20 13:45:37 +03:00
Yuantao Feng a478757483 Merge pull request #24544 from fengyuentau:layernorm_conformance
dnn test: move layer norm tests into conformance tests #24544

Merge with https://github.com/opencv/opencv_extra/pull/1122

## Motivation

Some ONNX operators, such as `LayerNormalization`, `BatchNormalization` and so on, produce outputs for training (mean, stdev). So they have reference outputs of conformance tests for those training outputs as well. However, when it comes to inference, we do not need and produce those outputs for training here in dnn. Hence, output size does not match if we use dnn to infer those conformance models. This has become the barrier if we want to test these operators using their conformance tests.

<!--
| Operator                | Inference needed                    | Outputs (required - total) | Optional outputs for training? |
| ----------------------- | ----------------------------------- | -------------------------- | ------------------------------ |
| BatchNormalization      | Yes                                 | 1 - 3                      | Yes                            |
| Dropout                 | Maybe, can be eliminated via fusion | 1 - 2                      | Yes                            |
| GRU                     | Yes                                 | 0 - 2                      | No                             |
| LSTM                    | Yes                                 | 0 - 3                      | No                             |
| LayerNormalization      | Yes                                 | 1 - 3                      | Yes                            |
| MaxPool                 | Yes                                 | 1 - 2                      | Yes                            |
| RNN                     | Yes                                 | 0 - 2                      | No                             |
| SoftmaxCrossEntropyLoss | No                                  | 1 - 2                      | --                             |
-->

**I checked all ONNX operators with optional outputs. Turns out there are only `BatchNormalization`, `Dropout`, `LayerNormalization` and `MaxPool` has optional outputs for training. All except `LayerNormalization` have models set for training mode and eval mode. Blame ONNX for that.**

## Solution

In this pull request, we remove graph outputs if the graph looks like the following:

```
    [X]   [Scale]  [Bias]                      [X]   [Scale]  [Bias]
      \      |      /         this patch         \      |      /
     LayerNormalization      ----------->       LayerNormalization
      /      |      \                                   |
    [Y]    [Mean]  [Stdev]                             [Y]
```

We can update conformance tests and turn on some cases as well if extending to more layers.

Notes:
1. This workaround does not solve expanded function operators if they are fused into a single operator, such as `$onnx/onnx/backend/test/data/node/test_layer_normalization_2d_axis1_expanded`, but they can be run without fusion. Note that either dnn or onnxruntime does not fuse those expanded function operators.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-20 11:19:24 +03:00
alexlyulkov 6c57ce9e09 Merge pull request #24473 from alexlyulkov:al/samples_with_maven
Updated Android samples for modern Android studio. Added OpenCV from Maven support. #24473

Updated samples for recent Android studio:

- added namespace field that is required in build.gradle files
- replaced _switch_ by _if-else_ because it doesn't work with constants from resources
- added missed log library dependency in face-detection/jni/CMakeLists.txt
- use local.properties to define NDK location

Added support for OpenCV from Maven. Now you can choose 3 possible sources of OpenCV lib in settings.gradle: SDK path, local Maven repository, public Maven repository. (Creating Maven repository from SDK is added here #24456 )

There are differences in project configs for SDK and Maven versions:

- different dependencies in build.gradle
- different OpenCV library names in CMakeLists.txt
- SDK version requires OpenCV_DIR definition

Requires:
- https://github.com/opencv/ci-gha-workflow/pull/124
- https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/26
2023-11-17 14:17:17 +03:00
Jeremy Lyda fad0dbb9ac Merge pull request #24364 from bagelbytes61:bugfix/qrcode-version-estimator
Bugfix/qrcode version estimator #24364

Fixes https://github.com/opencv/opencv/issues/24366

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-16 16:28:28 +03:00
Abduragim Shtanchaev 8c10545d3c Merge pull request #24509 from Abdurrahheem:ash/dev_einsum_fast_gemm
Fast gemm for einsum #24509

## This PR adds performance tests for Einsum Layer with FastGemm. See below results of performance test on different inputs

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-16 16:20:17 +03:00
Chia-Hsiang Tsai 83d70b0f36 Merge pull request #24396 from Tsai-chia-hsiang:yolov8cv
Using cv2 dnn interface to run yolov8 model #24396

This is a sample code for using opencv dnn interface to run ultralytics yolov8 model for object detection.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [] There is a reference to the original bug report and related work
- [] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [] The feature is well documented and sample code can be built with the project CMake
2023-11-16 13:40:00 +03:00
Anatoliy Talamanov 0e151e3c88 Merge pull request #24060 from TolyaTalamanov:at/advanced-device-selection-onnxrt-directml
G-API: Advanced device selection for ONNX DirectML Execution Provider #24060

### Overview
Extend `cv::gapi::onnx::ep::DirectML` to accept `adapter name` as `ctor` parameter in order to select execution device by `name`.
E.g:
```
pp.cfgAddExecutionProvider(cv::gapi::onnx::ep::DirectML("Intel Graphics"));
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-16 08:49:53 +03:00
Yuantao Feng 024dfd54af dnn cann backend: add hardswish, layernorm and instasnce norm for cann and bug fix (#24462)
* add hardswish for cann

* gemm cann bug fix

* fix indentation

* cann: add layer norm

* cann: add instance norm

* add supportBackend

* cann: layer norm does not support axis=-1 due to 1d mat issue

* disable instance norm for now

* fix doc

* remove tensor desc initialization for 1D tensor
2023-11-15 17:57:52 +03:00
Dmitry Kurtaev ec97c38ff9 Merge pull request #24535 from dkurt:ipp_distransform_update
Handle huge images in IPP distanceTransform #24535

### Pull Request Readiness Checklist

* Do not use IPP for huge Mat (reproduced with https://github.com/opencv/opencv/issues/23895#issuecomment-1708132367 on `DIST_MASK_5`)

  I have observed two types of errors on the reproducer from the issue:

  1. When `temp` is not allocated:

    ```
    Thread 1 "app" received signal SIGSEGV, Segmentation fault.
    0x00007ffff65dc755 in icv_l9_ownDistanceTransform_5x5_8u32f_C1R_21B_g9e9 () from /home/dkurtaev/opencv_install/bin/../lib/libopencv_imgproc.so.408
    (gdb) bt
    #0  0x00007ffff65dc755 in icv_l9_ownDistanceTransform_5x5_8u32f_C1R_21B_g9e9 () from /home/dkurtaev/opencv_install/bin/../lib/libopencv_imgproc.so.408
    #1  0x00007ffff659e8df in icv_l9_ippiDistanceTransform_5x5_8u32f_C1R () from /home/dkurtaev/opencv_install/bin/../lib/libopencv_imgproc.so.408
    #2  0x00007ffff5c390f0 in cv::distanceTransform (_src=..., _dst=..., _labels=..., distType=2, maskSize=5, labelType=1) at /home/dkurtaev/opencv/modules/imgproc/src/distransform.cpp:854
    #3  0x00007ffff5c396ef in cv::distanceTransform (_src=..., _dst=..., distanceType=2, maskSize=5, dstType=5) at /home/dkurtaev/opencv/modules/imgproc/src/distransform.cpp:903
    #4  0x000055555555669e in main (argc=1, argv=0x7fffffffdef8) at /home/dkurtaev/main.cpp:18
    ```

  2. When we keep `temp` allocated every time:

    ```
    OpenCV(4.8.0-dev) Error: Assertion failed (udata < (uchar*)ptr && ((uchar*)ptr - udata) <= (ptrdiff_t)(sizeof(void*)+64)) in fastFree, file /home/dkurtaev/opencv/modules/core/src/alloc.cpp, line 191
    terminate called after throwing an instance of 'cv::Exception'
      what():  OpenCV(4.8.0-dev) /home/dkurtaev/opencv/modules/core/src/alloc.cpp:191: error: (-215:Assertion failed) udata < (uchar*)ptr && ((uchar*)ptr - udata) <= (ptrdiff_t)(sizeof(void*)+64) in function 'fastFree'
    ```

* Try enable IPP for 3x3 (see https://github.com/opencv/opencv/issues/15904)
* Reduce memory footprint with IPP

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-14 11:44:17 +03:00
Alessandro de Oliveira Faria (A.K.A.CABELO) 4a69877eaa Merge pull request #24496 from cabelo:yolov3
Add weights yolov3 in models.yml #24496

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

I don't know if this action is necessary, or the previous PR scale for the brach master.

Thanks.
2023-11-14 09:06:36 +03:00
Alexander Smorkalov 5156222a92 Merge pull request #24533 from AleksandrPanov:aruco_remove_filter_fix
remove filter fix in aruco qr code detector
2023-11-13 14:58:10 +03:00
Alexander Smorkalov 4c7d77372e Merge pull request #24526 from thewoz:arrow
fix tab arrow issue
2023-11-13 14:55:48 +03:00
Alexander Smorkalov 3f013e4cf5 Merge pull request #24531 from fengyuentau:instancenorm_onnx_test_cuda
dnn onnx test: remove cuda backend filter for instance norm test
2023-11-13 14:54:23 +03:00
laolaolulu adc55608f1 Merge pull request #24458 from laolaolulu:4.x
* Added JS binding for `getUnconnectedOutLayersNames`
* Fix error: no member named ‘vectorstd’ in namespace ‘std’
2023-11-13 14:51:20 +03:00
thewoz 7cd4fc2fb8 Update window_QT.cpp
fix tab arrow issue
2023-11-13 12:10:52 +03:00
Alex 9c86d68b4c remove filter fix 2023-11-13 10:49:19 +03:00
fengyuentau 031846f2e1 remove filter 2023-11-13 14:47:40 +08:00
Alexander Smorkalov 9b97c97bd1 Merge pull request #24519 from shubh1176:4.x
updated additional resources links
2023-11-12 13:33:41 +03:00
Alexander Smorkalov 960a926055 Merge pull request #24510 from asmorkalov:as/softmax_rvv
Enable softmax layer vectorization on RISC-V RVV #24510 

Related: https://github.com/opencv/opencv/pull/24466

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-11 09:09:14 +03:00
Dmitry Kurtaev 53f2131681 Merge pull request #24521 from dkurt:fix_broken_urls
Fix some of the broken urls in docs #24521

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-11 09:06:10 +03:00
Alexander Smorkalov ceebfa1bee Merge pull request #24492 from asmorkalov:as/reprioritize_fps_source_ffmpeg
Use video stream fps first in FFmpeg backend for VideoCapture
2023-11-11 08:53:41 +03:00
Shubh Raheja 93ba5c9175 updated additional resources links 2023-11-10 14:22:22 +05:30
Alexander Smorkalov 064fdba120 Merge pull request #24479 from AleksandrPanov:fix_contour_filtering
Fix contour filtering in ArUco
2023-11-09 14:57:37 +03:00
Alex 84590f96e5 add new contour filtering, test, refactoring 2023-11-09 11:22:04 +03:00
Alexander Smorkalov b3791dc4be Merge pull request #24488 from hipudding:npu_support
Link lib_acl_op_compiler when compile with CANN
2023-11-09 09:26:18 +03:00
Alexander Smorkalov bc54f76875 Merge pull request #24511 from asmorkalov:as/remove_rvv_internals_from_docs
Exclude RVV UI internals from Doxygen documentation.
2023-11-08 17:00:44 +03:00
Dmitry Kurtaev b7ec2ebb55 Merge pull request #24483 from dkurt:dnn_fusion_commutative_ops
Commutative rules for DNN subgraphs fusion #24483

### Pull Request Readiness Checklist

related: https://github.com/opencv/opencv/pull/24463#issuecomment-1783033931

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-08 16:26:33 +03:00
Alexander Smorkalov 41c335e5a5 Merge pull request #24512 from asmorkalov:as/gstreamer_warn_fix
Fixed build warning introduced in #24243
2023-11-08 15:42:49 +03:00
Alexander Smorkalov b203c7c3e2 Fixed build warning introduced in #24243. 2023-11-08 15:30:40 +03:00
Alexander Smorkalov 8df76fe0cb Exclude RVV UI internals from Doxygen documentation. 2023-11-08 14:22:05 +03:00
Alexander Smorkalov 5b0ad6b5e8 Merge pull request #24465 from ivashmak:fix_usac_tutorial
Reformat USAC tutorial
2023-11-08 14:01:36 +03:00
Csaba Kertész b1e0c4d119 Merge pull request #24243 from kecsap:4.x
Fix gstreamer backend with manual pipelines #24243

- Fix broken seeking in audio/video playback
- Fix broken audio playback
- Fix unreliable seeking
- Estimate frame count if it is not available directly
- Return -1 for frame count and fps if it is not available. 
- Return 0 for fps if the video has variable frame rate
- Enable and fix tests


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [-] There is a reference to the original bug report and related work => Reproducible test provided
- [-] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

1. Download two test videos:

```bash
wget https://github.com/ietf-wg-cellar/matroska-test-files/raw/master/test_files/test1.mkv
wget https://test-videos.co.uk/vids/jellyfish/mkv/360/Jellyfish_360_10s_5MB.mkv
```

2. I modified a OpenCV videoio sample to demonstrate the problem, here it is the patch: http://dpaste.com//C9MAT2K6W

3. Build the sample, on Ubuntu:

```bash
g++ -g videocapture_audio_combination.cpp -I/usr/include/opencv4 `pkg-config --libs --cflags opencv4` -o videocapture_audio_combination
```

4. Play an audio stream with seeking BEFORE the fix:

```bash
$ ./videocapture_audio_combination --audio "filesrc location=test1.mkv ! queue ! matroskademux name=demux demux.audio_0 ! decodebin ! audioconvert ! appsink"[ERROR:0@0.009] global cap.cpp:164 open VIDEOIO(GSTREAMER): raised OpenCV exception:

OpenCV(4.8.0-dev) ./modules/videoio/src/cap_gstreamer.cpp:153: error: (-215:Assertion failed) ptr in function 'get'


[ WARN:0@0.009] global cap.cpp:204 open VIDEOIO(GSTREAMER): backend is generally available but can't be used to capture by name
ERROR! Can't to open file: filesrc location=test1.mkv ! queue ! matroskademux name=demux demux.audio_0 ! decodebin ! audioconvert ! appsink
```

5. Play a video stream with seeking BEFORE the fix:

```bash
$ ./videocapture_audio_combination --audio "filesrc location=Jellyfish_360_10s_5MB.mkv ! queue ! matroskademux name=demux demux.video_0 ! decodebin ! videoconvert ! video/x-raw, format=BGR ! appsink drop=1"
[ WARN:0@0.034] global cap_gstreamer.cpp:1728 open OpenCV | GStreamer warning: Cannot query video position: status=1, value=22, duration=300
CAP_PROP_AUDIO_DATA_DEPTH: CV_16S
CAP_PROP_AUDIO_SAMPLES_PER_SECOND: 44100
CAP_PROP_AUDIO_TOTAL_CHANNELS: 0
CAP_PROP_AUDIO_TOTAL_STREAMS: [ WARN:0@0.034] global cap_gstreamer.cpp:1898 getProperty OpenCV | GStreamer: CAP_PROP_AUDIO_TOTAL_STREAMS property is not supported
0
[ WARN:0@0.034] global cap_gstreamer.cpp:1817 getProperty OpenCV | GStreamer: CAP_PROP_POS_MSEC property result may be unrealiable: https://github.com/opencv/opencv/issues/19025
Timestamp: 0.6218
Timestamp: 33.1085
Timestamp: 67.1274
Timestamp: 100.1182
Timestamp: 133.1204
Timestamp: 167.1195
Timestamp: 200.1161
Timestamp: 233.1147
Timestamp: 267.1194
Timestamp: 300.1202
[ WARN:0@0.338] global cap_gstreamer.cpp:1949 setProperty OpenCV | GStreamer warning: GStreamer: unable to seek
0:00:00.338215907 3892572 0x5592899c7580 WARN                 basesrc gstbasesrc.c:3127:gst_base_src_loop:<filesrc0> error: Internal data stream error.
0:00:00.338235884 3892572 0x5592899c7580 WARN                 basesrc gstbasesrc.c:3127:gst_base_src_loop:<filesrc0> error: streaming stopped, reason not-linked (-1)
0:00:00.338264287 3892572 0x5592899c7580 WARN                   queue gstqueue.c:992:gst_queue_handle_sink_event:<queue0> error: Internal data stream error.
0:00:00.338270329 3892572 0x5592899c7580 WARN                   queue gstqueue.c:992:gst_queue_handle_sink_event:<queue0> error: streaming stopped, reason not-linked (-1)
[ WARN:0@0.339] global cap_gstreamer.cpp:2784 handleMessage OpenCV | GStreamer warning: Embedded video playback halted; module filesrc0 reported: Internal data stream error.
[ WARN:0@0.339] global cap_gstreamer.cpp:1199 startPipeline OpenCV | GStreamer warning: unable to start pipeline
Number of audio samples: 0
Number of video frames: 10
[ WARN:0@0.339] global cap_gstreamer.cpp:1164 isPipelinePlaying OpenCV | GStreamer warning: GStreamer: pipeline have not been created
```

6. Play an audio stream with seeking AFTER the fix:

```bash
$ ./videocapture_audio_combination --audio "filesrc location=test1.mkv ! queue ! matroskademux name=demux demux.audio_0 ! decodebin ! audioconvert ! appsink"CAP_PROP_AUDIO_DATA_DEPTH: CV_16S
CAP_PROP_AUDIO_SAMPLES_PER_SECOND: 48000
CAP_PROP_AUDIO_TOTAL_CHANNELS: 2
CAP_PROP_AUDIO_TOTAL_STREAMS: [ WARN:0@0.025] global cap_gstreamer.cpp:1903 getProperty OpenCV | GStreamer: CAP_PROP_AUDIO_TOTAL_STREAMS property is not supported
0
Timestamp: 0.0000
Timestamp: 24.0000
Timestamp: 48.0000
Timestamp: 72.0000
Timestamp: 96.0000
Timestamp: 120.0000
Timestamp: 144.0000
Timestamp: 168.0000
Timestamp: 192.0000
Timestamp: 216.0000
Timestamp: 3500.0000
Timestamp: 3504.0000
Timestamp: 3528.0000
Timestamp: 3552.0000
Timestamp: 3576.0000
Timestamp: 3600.0000
Timestamp: 3624.0000
Timestamp: 3648.0000
Timestamp: 3672.0000
Timestamp: 3696.0000
Timestamp: 3720.0000
Timestamp: 3744.0000
Timestamp: 3768.0000
Timestamp: 3792.0000
Timestamp: 3816.0000
Timestamp: 3840.0000
Timestamp: 3864.0000
Timestamp: 3888.0000
Timestamp: 3912.0000
Timestamp: 3936.0000
```

7. Play a video stream with seeking AFTER the fix:

```bash
$ ./videocapture_audio_combination --audio "filesrc location=Jellyfish_360_10s_5MB.mkv ! queue ! matroskademux name=demux demux.video_0 ! decodebin ! videoconvert ! video/x-raw, format=BGR ! appsink drop=1"
[ WARN:0@0.033] global cap_gstreamer.cpp:1746 open OpenCV | GStreamer warning: Cannot query video position: status=1, value=22, duration=300
CAP_PROP_AUDIO_DATA_DEPTH: CV_16S
CAP_PROP_AUDIO_SAMPLES_PER_SECOND: 44100
CAP_PROP_AUDIO_TOTAL_CHANNELS: 0
CAP_PROP_AUDIO_TOTAL_STREAMS: [ WARN:0@0.034] global cap_gstreamer.cpp:1903 getProperty OpenCV | GStreamer: CAP_PROP_AUDIO_TOTAL_STREAMS property is not supported
0
Timestamp: 0.0000
Timestamp: 33.0000
Timestamp: 67.0000
Timestamp: 100.0000
Timestamp: 133.0000
Timestamp: 167.0000
Timestamp: 200.0000
Timestamp: 233.0000
Timestamp: 267.0000
Timestamp: 300.0000
0:00:00.335931693 3893501 0x55bbe76ad920 WARN      matroskareadcommon matroska-read-common.c:759:gst_matroska_read_common_parse_skip:<demux:sink> Unknown CueTrackPositions subelement 0xf0 - ignoring
0:00:00.335952823 3893501 0x55bbe76ad920 WARN      matroskareadcommon matroska-read-common.c:759:gst_matroska_read_common_parse_skip:<demux:sink> Unknown CueTrackPositions subelement 0xf0 - ignoring
0:00:00.335988029 3893501 0x55bbe76ad920 WARN                 basesrc gstbasesrc.c:1742:gst_base_src_perform_seek:<filesrc0> duplicate event found 184
Timestamp: 3467.0000
Timestamp: 3500.0000
Timestamp: 3533.0000
Timestamp: 3567.0000
Timestamp: 3600.0000
Timestamp: 3633.0000
Timestamp: 3667.0000
Timestamp: 3700.0000
Timestamp: 3733.0000
Timestamp: 3767.0000
Timestamp: 3800.0000
Timestamp: 3833.0000
Timestamp: 3867.0000
Timestamp: 3900.0000
Timestamp: 3933.0000
Timestamp: 3967.0000
Timestamp: 4000.0000
Timestamp: 4033.0000
Timestamp: 4067.0000
Timestamp: 4100.0000
```
2023-11-08 13:41:50 +03:00
Maksym Ivashechkin f85cf5d7f9 Update usac tutorial. 2023-11-08 12:53:20 +03:00
Abduragim Shtanchaev 9d0c8a9edb Merge pull request #24445 from Abdurrahheem:ash/dev_einsum_pref
Einsum Layer Performance Test #24445

## This PR adds performance tests for Einsum Layer. See below results of performance test on different inputs

**Notation:**
- WX: windows10_x64
- MX: macos_x64
- MA: macos_arm64
- UX: ubuntu_x64
- UA: ubuntu_arm64

All data in ms (milliseconds).
Gemm is backend for matrix multiplication

---

Benchmarks:


| Equation                | Inputs Mat Dims                   | UX (ms)        | UA (ms) | MX (ms) | MA (ms) | WX (ms) |
|-------------------------|-----------------------------------|----------------|---------|---------|---------|---------|
| "ij, jk -> ik"          | [2, 3], [3,2]                     | 0.04 ± 0.00    | -       | -       | -       | -       |
| "ij, jk -> ik"          | [20, 30], [30,20]                 | 0.08 ± 0.00    | -       | -       | -       | -       |
| "ij, jk -> ik"          | [113, 127], [127,113]             | 2.41 ± 0.05    | -       | -       | -       | -       |
| "imkj, injs -> imnks"   | [1, 4, 7, 9], [1, 5, 9, 8]        | 0.11 ± 0.00    | -       | -       | -       | -       |
| "imkj, injs -> imnks"   | [1, 4, 70, 90], [1, 5, 90, 80]    | 15.49 ± 0.46   | -       | -       | -       | -       |
| "imkj, injs -> imnks"   | [1, 4, 73, 91], [1, 5, 91, 57]    | 11.53 ± 0.06   | -       | -       | -       | -       |
| "ij -> i"               | [30, 40]                          | 0.03 ± 0.00    | -       | -       | -       | -       |
| "ij -> i"               | [113, 374]                        | 0.13 ± 0.00    | -       | -       | -       | -       |
| "...ij -> ...i"         | [30, 40]                          | 0.03 ± 0.00    | -       | -       | -       | -       |
| "...ij -> ...i"         | [113, 374]                        | 0.13 ± 0.00    | -       | -       | -       | -       |
| "...ij, ...jk -> ...ik" | [40, 50], [50,80]                 | 0.37 ± 0.01    | -       | -       | -       | -       |
| "...ij, ...jk -> ...ik" | [47, 51], [51, 83]                | 0.43 ± 0.01    | -       | -       | -       | -       |

-----

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-08 11:56:21 +03:00
Alexander Smorkalov 81907af74c Merge pull request #24477 from asmorkalov:as/SimpleBlobDetector_js
Add JavaScript bindings for SimpleBlobDetector
2023-11-08 08:37:12 +03:00
huafengchun fb352e3098 Link lib_acl_op_compiler when compile with CANN 2023-11-08 10:42:28 +08:00
Alexander Smorkalov 26f3514992 Merge pull request #24474 from asmorkalov:as/BOWImgDescriptorExtractoor_java_ctor
Added Java bindings for BOWImgDescriptorExtractor constructor
2023-11-07 22:00:32 +03:00
Yuantao Feng 6079e22523 Merge pull request #24500 from fengyuentau:test_layer_fusion
dnn (onnx): add subgraph fusion tests #24500

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-07 17:40:31 +03:00
alexlyulkov 30549d65c2 Merge pull request #24456 from alexlyulkov:al/aar
Added scripts for creating an AAR package and a local Maven repository with OpenCV library #24456

Added scripts for creating an AAR package and a local Maven repository with OpenCV library.

The build_java_shared_aar.py script creates AAR with Java + C++ shared libraries.
The build_static_aar.py script creates AAR with static C++ libraries.

The scripts use an Android project template. The project is almost a default Android AAR library project with empty Java code and one empty C++ library. Only build.gradle.template and CMakeLists.txt.template files contain significant changes.

See README.md for more information.
2023-11-07 14:23:33 +03:00
Yuantao Feng ee0822dc4d Merge pull request #24378 from fengyuentau:instance_norm
dnn onnx: add instance norm layer #24378

Resolves https://github.com/opencv/opencv/issues/24377
Relates https://github.com/opencv/opencv/pull/24092#discussion_r1349841644

| Perf | multi-thread | single-thread |
| - | - | - |
| x: [2, 64, 180, 240] | 3.95ms | 11.12ms |

Todo:

- [x] speed up by multi-threading
- [x] add perf
- [x] add backend: OpenVINO
- [x] add backend: CUDA
- [x] add backend: OpenCL (no fp16)
- [ ] add backend: CANN (will be done via https://github.com/opencv/opencv/pull/24462)


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

```
force_builders=Linux OpenCL,Win64 OpenCL,Custom
buildworker:Custom=linux-4
build_image:Custom=ubuntu:18.04
modules_filter:Custom=none
disable_ipp:Custom=ON
```
2023-11-07 12:59:10 +03:00
Vincent Rabaud 832f738db0 Merge pull request #24495 from vrabaud:fast_math_compile
Get the SSE2 condition match the emmintrin.h inclusion condition. #24495

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-07 09:06:28 +03:00
Wanli ed52f7feea Improve and refactor softmax layer (#24466)
* improve and refactor softmax layer

* fix building error

* compatible region layer

* fix axisStep when disable SIMD

* fix dynamic array

* try to fix error

* use nlanes from VTraits

* move axisBias to srcOffset

* fix bug caused by axisBias

* remove macro

* replace #ifdef with #if for CV_SIMD
2023-11-06 04:48:32 +03:00
richard28039 e95c0055af Merge pull request #24397 from richard28039:add_fcnresnet101_to_dnn_sample
Added PyTorch fcnresnet101 segmentation conversion cases #24397

We write a sample code about transforming Pytorch fcnresnet101 to ONNX running on OpenCV.

The input source image was shooted by ourself.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-11-03 15:42:43 +03:00
Alexander Smorkalov 6a65678592 Use video stream fps first in FFmpeg backend for VideoCapture. 2023-11-03 15:39:37 +03:00
Dmitry Kurtaev fa56623458 Merge pull request #24463 from dkurt:dnn_shared_nodes_fusion
DNN graph fusion with shared nodes #24463

### Pull Request Readiness Checklist

For now, nodes from matched pattern are removed during the matching process so if nodes are used in similar subgraph, they cannot be found.

required for https://github.com/opencv/opencv/pull/24397

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1115

A part from [model_name ](https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/fcn/model/fcn-resnet101-11.onnx) with two Resize subgraphs with shared nodes:
![image](https://github.com/opencv/opencv/assets/25801568/611d89d9-12fb-4add-9218-13b10d2c086a)

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-03 12:34:09 +03:00
Alexander Smorkalov fe4d518d85 Merge pull request #24485 from hanliutong:rvv-opt
Optimize the Implementation of RVV Universal Intrinsic.
2023-11-03 12:31:10 +03:00
Rostislav Vasilikhin ea47cb3ffe Merge pull request #24480 from savuor:backport_patch_nans
Backport to 4.x: patchNaNs() SIMD acceleration #24480

backport from #23098
connected PR in extra: [#1118@extra](https://github.com/opencv/opencv_extra/pull/1118)

### This PR contains:
* new SIMD code for `patchNaNs()`
* CPU perf test

<details>
<summary>Performance comparison</summary>

Geometric mean (ms)

|Name of Test|noopt|sse2|avx2|sse2 vs noopt (x-factor)|avx2 vs noopt (x-factor)|
|---|:-:|:-:|:-:|:-:|:-:|
|PatchNaNs::OCL_PatchNaNsFixture::(640x480, 32FC1)|0.019|0.017|0.018|1.11|1.07|
|PatchNaNs::OCL_PatchNaNsFixture::(640x480, 32FC4)|0.037|0.037|0.033|1.00|1.10|
|PatchNaNs::OCL_PatchNaNsFixture::(1280x720, 32FC1)|0.032|0.032|0.033|0.99|0.98|
|PatchNaNs::OCL_PatchNaNsFixture::(1280x720, 32FC4)|0.072|0.072|0.070|1.00|1.03|
|PatchNaNs::OCL_PatchNaNsFixture::(1920x1080, 32FC1)|0.051|0.051|0.050|1.00|1.01|
|PatchNaNs::OCL_PatchNaNsFixture::(1920x1080, 32FC4)|0.137|0.138|0.128|0.99|1.06|
|PatchNaNs::OCL_PatchNaNsFixture::(3840x2160, 32FC1)|0.137|0.128|0.129|1.07|1.06|
|PatchNaNs::OCL_PatchNaNsFixture::(3840x2160, 32FC4)|0.450|0.450|0.448|1.00|1.01|
|PatchNaNs::PatchNaNsFixture::(640x480, 32FC1)|0.149|0.029|0.020|5.13|7.44|
|PatchNaNs::PatchNaNsFixture::(640x480, 32FC2)|0.304|0.058|0.040|5.25|7.65|
|PatchNaNs::PatchNaNsFixture::(640x480, 32FC3)|0.448|0.086|0.059|5.22|7.55|
|PatchNaNs::PatchNaNsFixture::(640x480, 32FC4)|0.601|0.133|0.083|4.51|7.23|
|PatchNaNs::PatchNaNsFixture::(1280x720, 32FC1)|0.451|0.093|0.060|4.83|7.52|
|PatchNaNs::PatchNaNsFixture::(1280x720, 32FC2)|0.892|0.184|0.126|4.85|7.06|
|PatchNaNs::PatchNaNsFixture::(1280x720, 32FC3)|1.345|0.311|0.230|4.32|5.84|
|PatchNaNs::PatchNaNsFixture::(1280x720, 32FC4)|1.831|0.546|0.436|3.35|4.20|
|PatchNaNs::PatchNaNsFixture::(1920x1080, 32FC1)|1.017|0.250|0.160|4.06|6.35|
|PatchNaNs::PatchNaNsFixture::(1920x1080, 32FC2)|2.077|0.646|0.605|3.21|3.43|
|PatchNaNs::PatchNaNsFixture::(1920x1080, 32FC3)|3.134|1.053|0.961|2.97|3.26|
|PatchNaNs::PatchNaNsFixture::(1920x1080, 32FC4)|4.222|1.436|1.288|2.94|3.28|
|PatchNaNs::PatchNaNsFixture::(3840x2160, 32FC1)|4.225|1.401|1.277|3.01|3.31|
|PatchNaNs::PatchNaNsFixture::(3840x2160, 32FC2)|8.310|2.953|2.635|2.81|3.15|
|PatchNaNs::PatchNaNsFixture::(3840x2160, 32FC3)|12.396|4.455|4.252|2.78|2.92|
|PatchNaNs::PatchNaNsFixture::(3840x2160, 32FC4)|17.174|5.831|5.824|2.95|2.95|

</details>

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2023-11-03 08:58:07 +03:00
Liutong HAN 451ee3991e Use local variable. 2023-11-03 10:21:13 +08:00
Alexander Smorkalov 7c9231ffba Merge pull request #24478 from CCInc:mingw_fix
Fix MinGW build issue due to obsensor
2023-11-02 15:26:43 +03:00
Alexander Smorkalov 2e49bf311a Merge pull request #24468 from asmorkalov:as/python_ctor_docs
Fixed Python signatures in Doxygen documentation.
2023-11-02 08:53:20 +03:00
Chris Lee f530a24544 Fix MinGW build issue due to obsensor 2023-11-01 12:18:09 -06:00
Alexander Smorkalov abc4eeb9a7 Add JavaScript bindings for SimpleBlobDetector. 2023-11-01 19:29:34 +03:00
Yuantao Feng c91af16fa7 Merge pull request #24409 from fengyuentau:norm_kernel
dnn: add shared fastNorm kernel for mvn, instance norm and layer norm #24409

Relates https://github.com/opencv/opencv/pull/24378#issuecomment-1756906570

TODO:

- [x] add fastNorm
- [x] refactor layer norm with fastNorm
- [x] refactor mvn with fastNorm
- [ ] add onnx mvn in importer (in a new PR?)
- [ ] refactor instance norm with fastNorm (in another PR https://github.com/opencv/opencv/pull/24378, need to merge this one first though)

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2023-11-01 14:33:57 +03:00
Alexander Alekhin e202116b56 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-10-31 14:52:49 +00:00
Alexander Smorkalov bd565df379 Added Java bindings for BOWImgDescriptorExtractor constructor. 2023-10-31 11:23:47 +03:00
Alexander Smorkalov a3ebc0ae7f Fixed Python signatures in Doxygen documentation. 2023-10-30 17:28:03 +03:00
Marek Kochanczyk e9e6b1e22c Merge pull request #24405 from kochanczyk:4.x
Extend the signature of imdecodemulti() #24405

(Edited after addressing Reviewers' comments.)

Add an argument to `imdecodemulti()` to enable optional selection of pages of multi-page images.

Be default, all pages are decoded. If used, the additional argument may specify a continuous selection of pages to decode.


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2023-10-30 11:58:08 +03:00
Giles Payne 617d7ff575 Merge pull request #24454 from komakai:refactorObjcRange
Refactor ObjectiveC Range class #24454

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Fix for build issue in #24405
2023-10-27 14:31:41 +03:00
Yuantao Feng 77a0ffc71d Merge pull request #24461 from fengyuentau:tracker_vit_backend_target
Video tracking (dnn): set backend and target for TrackerVit #24461

Resolves #24460

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2023-10-27 14:12:44 +03:00
Alexander Alekhin 52c33f4af3 Merge pull request #24451 from eplankin:3.4 2023-10-27 10:57:03 +00:00
Kumataro 1911c63826 fix: supress GCC13 warnings (#24434)
* fix: supress GCC13 warnings

* fix for review and compile-warning on MacOS
2023-10-26 09:00:58 +03:00
eplankin cac1695099 Update IPPICV binaries (20230919) 2023-10-25 10:01:19 -07:00
cudawarped 38bc519e4a Merge pull request #24363 from cudawarped:videoio_ffmpeg_add_stream_encapsulation
videoio: Add raw encoded video stream muxing to cv::VideoWriter with CAP_FFMPEG #24363

Allow raw encoded video streams (e.g. h264[5]) to be encapsulated by `cv::VideoWriter` to video containers (e.g. mp4/mkv).

Operates in a similar way to https://github.com/opencv/opencv/pull/15290 where encapsulation is enabled by setting the `VideoWriterProperties::VIDEOWRITER_PROP_RAW_VIDEO` flag when constructing `cv::VideoWriter` e.g.
```
VideoWriter container(fileNameOut, api, fourcc, fps, { width, height }, { VideoWriterProperties::VIDEOWRITER_PROP_RAW_VIDEO, 1 });
```
and each raw encoded frame is passed as single row of a `CV_8U` `cv::Mat`.

The main reason for this PR is to allow `cudacodec::VideoWriter` to output its encoded streams to a suitable container, see https://github.com/opencv/opencv_contrib/pull/3569.

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2023-10-25 13:21:01 +03:00
Abduragim Shtanchaev a3b3a589f9 Merge pull request #24322 from Abdurrahheem:ash/dev_einsum_ellips
Ellipses supported added for Einsum Layer #24322

This PR added addresses issues not covered in #24037. Namely these are: 
Test case for this patch is in this PR [#1106](https://github.com/opencv/opencv_extra/pull/1106) in opencv extra

Added: 
 - [x] Broadcasting reduction "...ii ->...I"
 - [x] Add lazy shape deduction. "...ij, ...jk->...ik"
 
 Features to add: 
- [ ] Add implicit output computation support. "bij,bjk ->" (output subscripts should be "bik")
- [ ] Add support for CUDA backend 
- [ ] BatchWiseMultiply optimize
- [ ] Performance test

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2023-10-24 16:47:00 +03:00
Alexander Smorkalov 1fe0fc224c Merge pull request #24441 from vrabaud:avif_check
Make sure AVIF decoder is destroyed in case of failure
2023-10-24 13:18:03 +03:00
Vincent Rabaud 44c254c09d Make sure AVIF decoder is destroyed in case of failure 2023-10-24 10:09:40 +02:00
Alexander Smorkalov 8b47361873 Merge pull request #24440 from COOLIRON2311:4.x
tutorial_py_fourier_transform wrong division operator fix
2023-10-24 09:05:04 +03:00
Alexander Smorkalov 3429c27477 Merge pull request #24438 from vrabaud:avif_check
Check the return value of avifDecoderSetIOMemory.
2023-10-24 08:56:55 +03:00
COOLIRON2311 099e002667 Fixed wrong division operator in py_tutorials doc 2023-10-23 19:41:29 +03:00
Vincent Rabaud 3c9c964630 Check the return value of avifDecoderSetIOMemory.
The API will soon be made no_discard.
2023-10-23 14:56:24 +02:00
Amir Hassan c2f909fc86 Merge pull request #23894 from kallaballa:blobFromImagesWithParams
Pertaining Issue: https://github.com/opencv/opencv/issues/5697

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2023-10-20 14:27:40 +03:00
CNClareChen d142a796d8 Merge pull request #23929 from CNClareChen:4.x
* Optimize some function with lasx.

Optimize some function with lasx. #23929

This patch optimizes some lasx functions and reduces the runtime of opencv_test_core from 662,238ms to 633603ms on the 3A5000 platform.

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2023-10-20 14:20:09 +03:00
Yuantao Feng 996b6c37c7 Merge pull request #24425 from fengyuentau:fix_timvx_test
dnn: fix HAVE_TIMVX macro definition in dnn test #24425

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2023-10-20 14:16:51 +03:00
Alexander Smorkalov 1c0ca41b6e Merge pull request #24371 from hanliutong:clean-up
Clean up the obsolete API of Universal Intrinsic
2023-10-20 12:50:26 +03:00
andrewerf b44cb33d2f Merge pull request #21066 from andrewerf:21052-openvino-native-onnx
Native ONNX to Inference Engine backend #21066

Resolves #21052

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2023-10-20 11:49:27 +03:00
Alexander Smorkalov 1aa4621777 Merge pull request #24429 from vrabaud:inter_area1
Unconditionally create SuperScale in BarcodeDetector to avoid null deref
2023-10-20 11:47:03 +03:00
Vincent Rabaud fcdaaabf7c Unconditionally create SuperScale in BarcodeDetector to avoid null deref
This pointer is called unconditionally in BarcodeImpl::initDecode
assuming the size of the image is outside the specified bounds.  This
seems to not cause problems on optimized builds, I assume because the
optimizer sees through the processImageScale call to see that it can be
reduced to a resize call.  Leaving it as is relies on undefined
behavior.

This was the least invasive change I could make, however, it might be
worthwhile to pull up the logic for a resize so that a SuperScale does
not need to be allocated, which seems to be the most common case.
2023-10-19 22:42:11 +02:00
Vincent Rabaud c96f48e7c9 Merge pull request #24412 from vrabaud:inter_area1
Speed up line merging in INTER_AREA #24412

This provides a 10 to 20% speed-up.

Related perf test fix: https://github.com/opencv/opencv/pull/24417
This is a split of https://github.com/opencv/opencv/pull/23525 that will be updated to only deal with column merging.

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2023-10-19 14:06:50 +03:00
Alexander Smorkalov a9664abb57 Merge pull request #24427 from fengyuentau:gather_elements_fp16
dnn: fp16 support for gather elements
2023-10-19 14:05:17 +03:00
Stefan Isak 5bffcdf7e8 Merge pull request #24382 from sisakat:cuda-compile-multicore
Enable multicore CUDA compilation #24382

CUDA source files are compiled single threaded. The option `--threads` was introduced in NVCC 11.2. The option specifies the number of threads to be used for compilation (see [NVIDIA NVCC Documentation](https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#threads-number-t)).

With CMake 3.12 the environment variable `CMAKE_BUILD_PARALLEL_LEVEL` was introduced (see [CMake Documentation](https://cmake.org/cmake/help/latest/envvar/CMAKE_BUILD_PARALLEL_LEVEL.html)). This variable is used to set the NVCC `--threads` option.

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2023-10-19 13:13:21 +03:00
fengyuentau f2ef81a179 fp16 support for gather elements 2023-10-19 14:44:12 +08:00
Kumataro 6e4280ea81 Merge pull request #24372 from Kumataro:fix24369
Supporting protobuf v22 and later(with abseil-cpp/C++17) #24372

fix https://github.com/opencv/opencv/issues/24369
related https://github.com/opencv/opencv/issues/23791

1. This patch supports external protobuf v22 and later, it required abseil-cpp and c++17.
    Even if the built-in protobuf is upgraded to v22 or later, 
    the dependency on abseil-cpp and the requirement for C++17 will continue.
2. Some test for caffe required patched protobuf, so this patch disable them.

This patch is tested by following libraries.
-  Protobuf:                    /usr/local/lib/libprotobuf.so (4.24.4)
-  abseil-cpp:                YES (20230125)

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2023-10-19 08:45:08 +03:00
Vadim Pisarevsky ba4d6c859d added detection & dispatching of some modern NEON instructions (NEON_FP16, NEON_BF16) (#24420)
* added more or less cross-platform (based on POSIX signal() semantics) method to detect various NEON extensions, such as FP16 SIMD arithmetics, BF16 SIMD arithmetics, SIMD dotprod etc. It could be propagated to other instruction sets if necessary.

* hopefully fixed compile errors

* continue to fix CI

* another attempt to fix build on Linux aarch64

* * reverted to the original method to detect special arm neon instructions without signal()
* renamed FP16_SIMD & BF16_SIMD to NEON_FP16 and NEON_BF16, respectively

* removed extra whitespaces
2023-10-18 22:06:20 +03:00
Alexander Smorkalov 2f1d529a71 Merge pull request #24422 from mshabunin:update-ade-012d
Updated libade to 0.1.2d
2023-10-18 13:01:04 +03:00
Aser Atawya 240b245105 Merge pull request #24092 from Aser-Abdelfatah:GSoC_Support_GatherElements_ONNX
GSoC Add ONNX Support for GatherElements #24092

Merge with: https://github.com/opencv/opencv_extra/pull/1082
Adds support to the ONNX operator GatherElements [operator docs](https://github.com/onnx/onnx/blob/main/docs/Operators.md#GatherElements)
Added tests to opencv_extra at pull request https://github.com/opencv/opencv_extra/pull/1082

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2023-10-18 10:41:47 +03:00
Maksim Shabunin c6fa9931ed Updated libade to 0.1.2d 2023-10-18 09:40:53 +03:00
alexlyulkov 014e8485b5 Merge pull request #24367 from alexlyulkov:al/fixed-cumsum-inplace-flag
Fixed CumSum layer inplace flag #24367

When exclusive is false:
dst[i] = dst[i-1] + src[i]
When exclusive is true:
dst[i] = dst[i-1] + src[i-1]
So CumSum layer can be inplace only when exclusive flag is false.
2023-10-18 09:21:40 +03:00
Alexander Smorkalov 7757759205 Merge pull request #24417 from asmorkalov:as/resize_interarea_perf
Ensure interarea algorithm usage in resize perfomance test
2023-10-17 11:27:21 +03:00
Alexander Smorkalov 14b21f7271 Ensure interarea algorithm usage in resize perfomance test. 2023-10-17 09:43:15 +03:00
Alexander Smorkalov 2f63c58380 Merge pull request #24240 from asmorkalov:as/vl4_convert_rgb
Added test with V4L CAP_PROP_CONVERT_RGB=false.
2023-10-16 16:39:35 +03:00
Alexander Smorkalov 3ebcd94535 Added test with V4L CAP_PROP_CONVERT_RGB=false.
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
2023-10-16 10:20:18 +03:00
Alexander Smorkalov ce2b9f83f7 Merge pull request #24401 from mshabunin:enable-riscv-ci
CI: enable RISC-V for 4.x branch
2023-10-16 10:16:11 +03:00
Maksim Shabunin 331763a48b CI: enable RISC-V for 4.x branch 2023-10-16 09:28:37 +03:00
Liutong HAN a287605c3e Clean up the Universal Intrinsic API. 2023-10-13 19:23:30 +08:00
Yuantao Feng 0507043a55 Merge pull request #24386 from fengyuentau:fix_dtype_nary_eltwise
dnn: fix inconsistent input dtype for nary eltwise layers #24386

Resolves https://github.com/opencv/opencv/issues/24385
Merge with https://github.com/opencv/opencv_extra/pull/1107
Relates https://github.com/opencv/opencv/pull/24092#discussion_r1353964405

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-10-13 11:56:18 +03:00
Alexander Smorkalov 58285e5468 Merge pull request #24359 from asmorkalov:as/FastNeuralStyle_eccv16_tuning
Tuned threshold for FastNeuralStyle_eccv16 test
2023-10-13 10:29:41 +03:00
Alexander Smorkalov cd7cbe3d41 Merge pull request #24324 from hanliutong:rewrite-fluid
Rewrite Universal Intrinsic code: gapi module (fluid part).
2023-10-13 10:25:07 +03:00
Alexander Smorkalov b3d3acf75f Merge pull request #24370 from LiuPeiqiCN:4.x
Fix imshow icons missing when linking the static opencv library
2023-10-12 21:57:41 +03:00
Dmitry Kurtaev 5ddf3de4ce Merge pull request #24350 from dkurt:py_return_non_utf8_string
Encode QR code data to UTF-8 #24350

### Pull Request Readiness Checklist

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1105

resolves https://github.com/opencv/opencv/issues/23728

This is first PR in a series. Here we just return a raw Unicode. Later I will try expand QR codes decoding methods to use ECI assignment number and return a string with proper encoding, not only UTF-8 or raw unicode.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-10-12 17:39:57 +03:00
Alexander Smorkalov 3859ac921a Merge pull request #24355 from AleksandrPanov:dynamic_window_in_aruco_cornerRefinement
add dynamic window in aruco cornerRefinement
2023-10-12 10:52:56 +03:00
Alexander Smorkalov 7e17f01b7b Merge pull request #24368 from mshabunin:rvv-clang-17
RISC-V: added v0.12 intrinsics compatibility header
2023-10-12 10:28:54 +03:00
definitelyuncertain a1028efdcf Merge pull request #24333 from definitelyuncertain:CvtRGB2YUV422
Implement color conversion from RGB to YUV422 family #24333

Related PR for extra: https://github.com/opencv/opencv_extra/pull/1104

Hi,

This patch provides CPU and OpenCL implementations of color conversions from RGB/BGR to YUV422 family (such as UYVY and YUY2).

These features would come in useful for enabling standard RGB images to be supplied as input to algorithms or networks that make use of images in YUV422 format directly (for example, on resource constrained devices working with camera images captured in YUV422).

The code, tests and perf tests are all written following the existing pattern. There is also an example `bin/example_cpp_cvtColor_RGB2YUV422` that loads an image from disk, converts it from BGR to UYVY and then back to BGR, and displays the result as a visual check that the conversion works.

The OpenCL performance for the forward conversion implemented here is the same as the existing backward conversion on my hardware. The CPU implementation, unfortunately, isn't very optimized as I am not yet familiar with the SIMD code.

Please let me know if I need to fix something or can make other modifications.

Thanks!

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
- [x] The feature is well documented and sample code can be built with the project CMake
2023-10-12 10:18:24 +03:00
Yuantao Feng 590f150d5e dnn: hotfixes for fast gemm (#24315)
* remove Conformance from test names

* integrate neon optimization into default

* quick fix: define CV_NEON_AARCH64 0 for non NEON platforms

* remove var batch that leads to memory leak

* put neon code back to fast_gemm_kernels.simd

* reorganize code to reduce duplicate code
2023-10-07 21:48:44 +03:00
刘佩其 631f229827 Fix the issue of missing imshow icons when linking OpenCV as a static library (https://github.com/opencv/opencv-python/issues/585) 2023-10-07 11:18:32 +08:00
Maksim Shabunin 8edf37903d RISC-V: added v0.12 intrinsics compatibility header 2023-10-06 20:16:57 +03:00
Alex fd4af21350 add dynamic window in aruco cornerRefinement 2023-10-06 16:44:09 +03:00
Sean McBride 5fb3869775 Merge pull request #23109 from seanm:misc-warnings
* Fixed clang -Wnewline-eof warnings
* Fixed all trivial clang -Wextra-semi and -Wc++98-compat-extra-semi warnings
* Removed trailing semi from various macros
* Fixed various -Wunused-macros warnings
* Fixed some trivial -Wdocumentation warnings
* Fixed some -Wdocumentation-deprecated-sync warnings
* Fixed incorrect indentation
* Suppressed some clang warnings in 3rd party code
* Fixed QRCodeEncoder::Params documentation.

---------

Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2023-10-06 13:33:21 +03:00
jvuillaumier 24fd39538e Merge pull request #24233 from jvuillaumier:rotate_flip_hal_hooks
Add HAL implementation hooks to cv::flip() and cv::rotate() functions from core module #24233

Hello,

This change proposes the addition of HAL hooks for cv::flip() and cv::rotate() functions from OpenCV core module.
Flip and rotation are functions commonly available from 2D hardware accelerators. This is convenient provision to enable custom optimized implementation of image flip/rotation on systems embedding such accelerator.

Thank you

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-10-06 12:31:53 +03:00
HAN Liutong 07bf9cb013 Merge pull request #24325 from hanliutong:rewrite
Rewrite Universal Intrinsic code: float related part #24325

The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro: rewrite them by using the new Universal Intrinsic API.

The series of PRs is listed below:
#23885 First patch, an example
#23980 Core module
#24058 ImgProc module, part 1
#24132 ImgProc module, part 2
#24166 ImgProc module, part 3
#24301 Features2d and calib3d module
#24324 Gapi module

This patch (hopefully) is the last one in the series. 

This patch mainly involves 3 parts
1. Add some modifications related to float (CV_SIMD_64F)
2. Use `#if (CV_SIMD || CV_SIMD_SCALABLE)` instead of `#if CV_SIMD || CV_SIMD_SCALABLE`, 
    then we can get the `CV_SIMD` module that is not enabled for `CV_SIMD_SCALABLE` by looking for `if CV_SIMD`
3. Summary of `CV_SIMD` blocks that remains unmodified: Updated comments
    - Some blocks will cause test fail when enable for RVV, marked as `TODO: enable for CV_SIMD_SCALABLE, ....`
    - Some blocks can not be rewrited directly. (Not commented in the source code, just listed here)
      - ./modules/core/src/mathfuncs_core.simd.hpp (Vector type wrapped in class/struct)
      - ./modules/imgproc/src/color_lab.cpp (Array of vector type)
      - ./modules/imgproc/src/color_rgb.simd.hpp (Array of vector type)
      - ./modules/imgproc/src/sumpixels.simd.hpp (fixed length algorithm, strongly ralated with `CV_SIMD_WIDTH`)
      These algorithms will need to be redesigned to accommodate scalable backends.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-10-05 17:57:25 +03:00
Alexander Smorkalov 3dcaf1f287 Merge pull request #24362 from dkurt:enable_ov_2023_tests
Skip less tests with OpenVINO 2023.0
2023-10-05 15:51:54 +03:00
Dmitry Kurtaev 2c92eb3175 Enable more tests for OpenVINO 2023.0 2023-10-05 12:51:55 +03:00
Alexander Smorkalov 33d64d0491 Tuned threshold for FastNeuralStyle_eccv16 test for systems without AVX2. 2023-10-04 16:19:13 +03:00
Alexander Smorkalov 7b6d65cf20 Merge pull request #24337 from mshabunin:bump-ade-012c
3rdparty: update ade version
2023-10-04 14:59:16 +03:00
Wanli 62b5470b78 Merge pull request #24298 from WanliZhong:extend_perf_net_test
Extend performance test models #24298

**Merged With https://github.com/opencv/opencv_extra/pull/1095**

This PR aims to extend the performance tests. 

- **YOLOv5** for object detection
- **YOLOv8** for object detection
- **EfficientNet** for classification

Models from OpenCV Zoo:

- **YOLOX** for object detection
- **YuNet** for face detection
- **SFace** for face recognization
- **MPPalm** for palm detection
- **MPHand** for hand landmark
- **MPPose** for pose estimation
- **ViTTrack** for object tracking
- **PPOCRv3** for text detection
- **CRNN** for text recognization
- **PPHumanSeg** for human segmentation

If other models should be added, **please leave some comments**. Thanks!



Build opencv with script:
```shell
-DBUILD_opencv_python2=OFF
-DBUILD_opencv_python3=OFF
-DBUILD_opencv_gapi=OFF
-DINSTALL_PYTHON_EXAMPLES=OFF
-DINSTALL_C_EXAMPLES=OFF
-DBUILD_DOCS=OFF
-DBUILD_EXAMPLES=OFF
-DBUILD_ZLIB=OFF
-DWITH_FFMPEG=OFF
```



Performance Test on **Apple M2 CPU**
```shell
MacOS 14.0
8 threads
```

**1 thread:**
| Name of Test | 4.5.5-1th | 4.6.0-1th | 4.7.0-1th | 4.8.0-1th | 4.8.1-1th |
|--------------|:---------:|:---------:|:---------:|:---------:|:---------:|
| CRNN         |  76.244   |  76.611   |  62.534   |  57.678   |  57.238   |
| EfficientNet |    ---    |    ---    |  109.224  |  130.753  |  109.076  |
| MPHand       |    ---    |    ---    |  19.289   |  22.727   |  27.593   |
| MPPalm       |  47.150   |  47.061   |  41.064   |  65.598   |  40.109   |
| MPPose       |    ---    |    ---    |  26.592   |  32.022   |  26.956   |
| PPHumanSeg   |  41.672   |  41.790   |  27.819   |  27.212   |  30.461   |
| PPOCRv3      |    ---    |    ---    |  140.371  |  187.922  |  170.026  |
| SFace        |  43.830   |  43.834   |  27.575   |  30.653   |  26.387   |
| ViTTrack     |    ---    |    ---    |    ---    |  14.617   |  15.028   |
| YOLOX        | 1060.507  | 1061.361  |  495.816  |  533.309  |  549.713  |
| YOLOv5       |    ---    |    ---    |    ---    |  191.350  |  193.261  |
| YOLOv8       |    ---    |    ---    |  198.893  |  218.733  |  223.142  |
| YuNet        |  27.084   |  27.095   |  26.238   |  30.512   |  34.439   |
| MobileNet_SSD_Caffe         |  44.742   |  44.565   |  33.005   |  29.421   |  29.286   |
| MobileNet_SSD_v1_TensorFlow |  49.352   |  49.274   |  35.163   |  32.134   |  31.904   |
| MobileNet_SSD_v2_TensorFlow |  83.537   |  83.379   |  56.403   |  42.947   |  42.148   |
| ResNet_50                   |  148.872  |  148.817  |  77.331   |  67.682   |  67.760   |


**n threads:**
| Name of Test | 4.5.5-nth | 4.6.0-nth | 4.7.0-nth | 4.8.0-nth | 4.8.1-nth |
|--------------|:---------:|:---------:|:---------:|:---------:|:---------:|
| CRNN         |  44.262   |  44.408   |  41.540   |  40.731   |  41.151   |
| EfficientNet |    ---    |    ---    |  28.683   |  42.676   |  38.204   |
| MPHand       |    ---    |    ---    |   6.738   |  13.126   |   8.155   |
| MPPalm       |  16.613   |  16.588   |  12.477   |  31.370   |  17.048   |
| MPPose       |    ---    |    ---    |  12.985   |  19.700   |  16.537   |
| PPHumanSeg   |  14.993   |  15.133   |  13.438   |  15.269   |  15.252   |
| PPOCRv3      |    ---    |    ---    |  63.752   |  85.469   |  76.190   |
| SFace        |  10.685   |  10.822   |   8.127   |   8.318   |   7.934   |
| ViTTrack     |    ---    |    ---    |    ---    |  10.079   |   9.579   |
| YOLOX        |  417.358  |  422.977  |  230.036  |  234.662  |  228.555  |
| YOLOv5       |    ---    |    ---    |    ---    |  74.249   |  75.480   |
| YOLOv8       |    ---    |    ---    |  63.762   |  88.770   |  70.927   |
| YuNet        |   8.589   |   8.731   |  11.269   |  16.466   |  14.513   |
| MobileNet_SSD_Caffe         |  12.575   |  12.636   |  11.529   |  12.114   |  12.236   |
| MobileNet_SSD_v1_TensorFlow |  13.922   |  14.160   |  13.078   |  12.124   |  13.298   |
| MobileNet_SSD_v2_TensorFlow |  25.096   |  24.836   |  22.823   |  20.238   |  20.319   |
| ResNet_50                   |  41.561   |  41.296   |  29.092   |  30.412   |  29.339   |


Performance Test on [Intel Core i7-12700K](https://www.intel.com/content/www/us/en/products/sku/134594/intel-core-i712700k-processor-25m-cache-up-to-5-00-ghz/specifications.html)
```shell
Ubuntu 22.04.2 LTS
8 Performance-cores (3.60 GHz, turbo up to 4.90 GHz)
4 Efficient-cores (2.70 GHz, turbo up to 3.80 GHz)
20 threads
```


**1 thread:**
| Name of Test | 4.5.5-1th | 4.6.0-1th | 4.7.0-1th | 4.8.0-1th | 4.8.1-1th |
|--------------|:---------:|:---------:|:---------:|:---------:|:---------:|
| CRNN         |  16.752   |  16.851   |  16.840   |  16.625   |  16.663   |
| EfficientNet |    ---    |    ---    |  61.107   |  76.037   |  53.890   |
| MPHand       |    ---    |    ---    |   8.906   |   9.969   |   8.403   |
| MPPalm       |  24.243   |  24.638   |  18.104   |  35.140   |  18.387   |
| MPPose       |    ---    |    ---    |  12.322   |  16.515   |  12.355   |
| PPHumanSeg   |  15.249   |  15.303   |  10.203   |  10.298   |  10.353   |
| PPOCRv3      |    ---    |    ---    |  87.788   |  144.253  |  90.648   |
| SFace        |  15.583   |  15.884   |  13.957   |  13.298   |  13.284   |
| ViTTrack     |    ---    |    ---    |    ---    |  11.760   |  11.710   |
| YOLOX        |  324.927  |  325.173  |  235.986  |  253.653  |  254.472  |
| YOLOv5       |    ---    |    ---    |    ---    |  102.163  |  102.621  |
| YOLOv8       |    ---    |    ---    |  87.013   |  103.182  |  103.146  |
| YuNet        |  12.806   |  12.645   |  10.515   |  12.647   |  12.711   |
| MobileNet_SSD_Caffe         |  23.556   |  23.768   |  24.304   |  22.569   |  22.602   |
| MobileNet_SSD_v1_TensorFlow |  26.136   |  26.276   |  26.854   |  24.828   |  24.961   |
| MobileNet_SSD_v2_TensorFlow |  43.521   |  43.614   |  46.892   |  44.044   |  44.682   |
| ResNet_50                   |  73.588   |  73.501   |  75.191   |  66.893   |  65.144   |


**n thread:**
| Name of Test | 4.5.5-nth | 4.6.0-nth | 4.7.0-nth | 4.8.0-nth | 4.8.1-nth | 
|--------------|:---------:|:---------:|:---------:|:---------:|:---------:|
| CRNN         |   8.665   |   8.827   |  10.643   |   7.703   |   7.743   | 
| EfficientNet |    ---    |    ---    |  16.591   |  12.715   |   9.022   |   
| MPHand       |    ---    |    ---    |   2.678   |   2.785   |   1.680   |           
| MPPalm       |   5.309   |   5.319   |   3.822   |  10.568   |   4.467   |       
| MPPose       |    ---    |    ---    |   3.644   |   6.088   |   4.608   |        
| PPHumanSeg   |   4.756   |   4.865   |   5.084   |   5.179   |   5.148   |        
| PPOCRv3      |    ---    |    ---    |  32.023   |  50.591   |  32.414   |      
| SFace        |   3.838   |   3.980   |   4.629   |   3.145   |   3.155   |       
| ViTTrack     |    ---    |    ---    |    ---    |  10.335   |  10.357   |   
| YOLOX        |  68.314   |  68.081   |  82.801   |  74.219   |  73.970   |      
| YOLOv5       |    ---    |    ---    |    ---    |  47.150   |  47.523   |    
| YOLOv8       |    ---    |    ---    |  32.195   |  30.359   |  30.267   |    
| YuNet        |   2.604   |   2.644   |   2.622   |   3.278   |   3.349   |    
| MobileNet_SSD_Caffe         |  13.005   |   5.935   |   8.586   |   4.629   |   4.713   |
| MobileNet_SSD_v1_TensorFlow |   7.002   |   7.129   |   9.314   |   5.271   |   5.213   |
| MobileNet_SSD_v2_TensorFlow |  11.939   |  12.111   |  22.688   |  12.038   |  12.086   |
| ResNet_50                   |  18.227   |  18.600   |  26.150   |  15.584   |  15.706   |
2023-10-04 13:05:32 +03:00
Alexander Smorkalov 670c52f75e Merge pull request #24356 from VadimLevin:dev/vlevin/typing-re-export
feat: re-export cv2.typing module as typing
2023-10-04 09:14:51 +03:00
Alexander Smorkalov 6bcf3d4311 Merge pull request #24354 from asmorkalov:as/charuco_ub
Removed invalid reference usage in charuco detector
2023-10-03 17:45:42 +03:00
Alexander Smorkalov 3d0e2cc46c Merge pull request #24351 from sergiomb2:master
`numpy.distutils` is removed in numpy 1.26 on Python 3.12.
2023-10-03 17:44:41 +03:00
Dmitry Kurtaev d752bac43f Merge pull request #24234 from dkurt:distanceTransform_max_dist
Change max distance at distanceTransform #24234

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23895
related: https://github.com/opencv/opencv/pull/12278

* DIST_MASK_3 and DIST_MASK_5 maximal distance increased from 8192 to 65533 +/- 1
* Fix squares processing at DIST_MASK_PRECISE
* - [ ] TODO: Check with IPP

```cpp
    cv::Mat gray = cv::imread("opencv/samples/data/stuff.jpg", cv::ImreadModes::IMREAD_GRAYSCALE);

    cv::Mat gray_resize;
    cv::resize(gray, gray_resize, cv::Size(70000,70000), 0.0, 0.0, cv::INTER_LINEAR);

    gray_resize = gray_resize >= 100;

    cv::Mat dist;
    cv::distanceTransform(gray_resize, dist, cv::DIST_L2, cv::DIST_MASK_5, CV_32F);

    double minVal, maxVal;
    minMaxLoc(dist, &minVal, &maxVal);
    dist = 255 * (dist - minVal) / (maxVal - minVal);
    std::cout << minVal << " " << maxVal << std::endl;

    cv::Mat dist_resize;
    cv::resize(dist, dist_resize, cv::Size(1024,1024), 0.0, 0.0, cv::INTER_LINEAR);

    cv::String outfilePath = "test_mask_5.png";
    cv::imwrite(outfilePath, dist_resize);
```

mask | 4.x | PR |
----------|--------------|--------------
DIST_MASK_3 | <img src="https://github.com/opencv/opencv/assets/25801568/23e5de76-a8ba-4eb8-ab03-fa55672834be" width="128"> | <img src="https://github.com/opencv/opencv/assets/25801568/e1149f6a-49d6-47bd-a2a8-20bb7e4dafa4" width="128"> |
DIST_MASK_5 | <img src="https://github.com/opencv/opencv/assets/25801568/98aba29b-8865-4b9a-8066-669b16d175c9" width="128"> | <img src="https://github.com/opencv/opencv/assets/25801568/54f62ed2-9ef6-485f-bd63-48cc96accd7d" width="128"> |
DIST_MASK_PRECISE | <img src="https://github.com/opencv/opencv/assets/25801568/c4d79451-fd7a-461f-98fc-13060c63f473" width="128"> | <img src="https://github.com/opencv/opencv/assets/25801568/b5bfcaf5-bc48-40ba-b8e3-d000e5ab48db" width="128">|

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-10-03 17:23:32 +03:00
Maksim Shabunin 1bccc14e05 Merge pull request #24343 from mshabunin:fix-test-writes
Fix tests writing to current work dir #24343

Several tests were writing files in the current work directory and did not clean up after test. Moved all temporary files to the `/tmp` dir and added a cleanup code.
2023-10-03 16:34:25 +03:00
Yuriy Chernyshov 9f74982a54 Merge pull request #24323 from georgthegreat:akaze-variadic 2023-10-03 16:16:41 +03:00
Sérgio M. Basto 00ca8f455e numpy.distutils is removed in numpy 1.26 on Python 3.12.
so we don't use numpy.distutils to get includes dirs of python-numpy
2023-10-03 12:28:10 +01:00
Vadim Levin 4708d1aed7 feat: re-export cv2.typing module as typing
Import Python typing module as `_typing` to avoid name clashes.
2023-10-03 14:12:55 +03:00
alexlyulkov 9bd14d5417 Merge pull request #24353 from alexlyulkov:al/fixed-cumsum-layer
Fixed CumSum dnn layer #24353

Fixes #20110

The algorithm had several errors, so I rewrote it.
Also the layer didn't work with non constant axis tensor. Fixed it.
Enabled CumSum layer tests from ONNX conformance.
2023-10-03 13:58:25 +03:00
Alexander Smorkalov c497fe05a0 Removed invalid reference usage in charuco detector. 2023-10-03 11:31:48 +03:00
Alexander Smorkalov 4e60392040 Merge pull request #24349 from AleksandrPanov:aruco_check_board_separation
add aruco board separation check
2023-10-03 10:00:03 +03:00
Alex e5b114e5b8 Added ArUco marker size check for Aruco and Charuco boards. 2023-10-03 09:16:07 +03:00
Alexander Smorkalov 63819c1e1f Merge pull request #24342 from asmorkalov:as/java_test_status
Fail Java test suite, execution, if one of test failed.
2023-10-02 09:17:11 +03:00
Alexander Smorkalov 2af5815d47 Fail Java test suite, execution, if one of test failed. 2023-10-01 18:31:04 +03:00
Alexander Alekhin f3c724d449 Merge pull request #24344 from asmorkalov:as/einsum_fallback_fix 2023-09-29 16:48:41 +00:00
Alexander Smorkalov 5caee5cc64 Fixed OpenCL PF16 fallback in Einsum layer. 2023-09-29 15:52:23 +03:00
Alexander Smorkalov fb0479da23 Merge pull request #24341 from emmanuel-ferdman:wip
fix: update location to `samples/dnn/download_models.py`
2023-09-29 14:35:18 +03:00
Emmanuel Ferdman 8a8c0d285e fix: update location to samples/dnn/download_models.py 2023-09-29 12:30:46 +03:00
Dmitry Kurtaev c7ec0d599a Merge pull request #23987 from dkurt:openvino_int8_backend
OpenVINO backend for INT8 models #23987

### Pull Request Readiness Checklist

TODO:
- [x] DetectionOutput layer (https://github.com/opencv/opencv/pull/24069)
- [x] Less FP32 fallbacks (i.e. Sigmoid, eltwise sum)
- [x] Accuracy, performance tests (https://github.com/opencv/opencv/pull/24039)
- [x] Single layer tests (convolution)
- [x] ~~Fixes for OpenVINO 2022.1 (https://pullrequest.opencv.org/buildbot/builders/precommit_custom_linux/builds/100334)~~


Performace results for object detection model `coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite`:
| backend | performance (median time) |
|---|---|
| OpenCV | 77.42ms |
| OpenVINO 2023.0 | 10.90ms |

CPU: `11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz`

Serialized model per-layer stats (note that Convolution should use `*_I8` primitives if they are quantized correctly): https://gist.github.com/dkurt/7772bbf1907035441bb5454f19f0feef

---

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-28 16:24:43 +03:00
Alexander Smorkalov b8d4ac589d Merge pull request #24334 from fengyuentau:fix_24319
dnn onnx: fix not-found constant indices for Gather if shared
2023-09-28 13:08:26 +03:00
Maksim Shabunin 0433fe539c 3rdparty: update ade version 2023-09-28 12:45:34 +03:00
fengyuentau 7fa0493ca0 init commit 2023-09-28 11:50:21 +08:00
casualwinds 7b399c4248 Merge pull request #24280 from casualwind:parallel_opt
Optimization for parallelization when large core number #24280

**Problem description:**
When the number of cores is large, OpenCV’s thread library may reduce performance when processing parallel jobs.

**The reason for this problem:**
When the number of cores (the thread pool initialized the threads, whose number is as same as the number of cores) is large, the main thread will spend too much time on waking up unnecessary threads.
When a parallel job needs to be executed, the main thread will wake up all threads in sequence, and then wait for the signal for the  job completion after waking up all threads. When the number of threads is larger than the parallel number of a job slices, there will be a situation where the main thread wakes up the threads in sequence and the awakened threads have completed the job, but the main thread is still waking up the other threads. The threads woken up by the main thread after this have nothing to do, and the broadcasts made by the waking threads take a lot of time, which reduce the performance.

**Solution:**
Reduce the time for the process of main thread waking up the worker threads through the following two methods:

•	The number of threads awakened by the main thread should be adjusted according to the parallel number of a job slices. If the number of threads is greater than the number of the parallel number of job slices, the total number of threads awakened should be reduced.
•	In the process of waking up threads in sequence, if the main thread finds that all parallel job slices have been allocated, it will jump out of the loop in time and wait for the signal for the job completion.

**Performance Test:**
The tests were run in the manner described by https://github.com/opencv/opencv/wiki/HowToUsePerfTests.
At core number =  160, There are big performance gain in some cases.

Take the following cases in the video module as examples:

OpticalFlowPyrLK_self::Path_Idx_Cn_NPoints_WSize_Deriv::("cv/optflow/frames/VGA_%02d.png", 2, 1, (9, 9), 11, true)
Performance improves 191%:0.185405ms ->0.0636496ms
perf::DenseOpticalFlow_VariationalRefinement::(320x240, 10, 10)
Performance improves 112%:23.88938ms -> 11.2562ms  
Among all the modules, the performance improvement is greatest on module video, and there are also certain improvements on other modules.

At core number = 160, the times labeled below are the geometric mean of the average time of all cases for one module. The optimization is available on each module.

overall | time(ms) |   |   |   |   |   |   |  
-- | -- | -- | -- | -- | -- | -- | -- | --
module   name | gapi | dnn | features2d | objdetect | core | imgproc | stitching | video
original | 0.185 | 1.586 | 9.998 | 11.846 | 0.205 | 0.215 | 164.409 | 0.803
optimized | 0.174 | 1.353 | 9.535 | 11.105 | 0.199 | 0.185 | 153.972 | 0.489
Performance   improves | 6% | 17% | 5% | 7% | 3% | 16% | 7% | 64%

Meanwhile, It is found that adjusting the order of test cases will have an impact on some test cases. For example, we used option --gtest-shuffle to run opencv_perf_gapi, the performance of TestPerformance::CmpWithScalarPerfTestFluid/CmpWithScalarPerfTest::(compare_f, CMP_GE, 1920x1080, 32FC1, { gapi.kernel_package })  case had 30% changes compared to the case without shuffle. I would like to ask if you have also encountered such a situation and could you share your experience?

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-27 16:21:20 +03:00
Alexander Smorkalov 1baaac295a Merge pull request #24329 from asmorkalov/as/openvino_ci
Added CI with OpenVINO for DNN and G-API.
2023-09-27 16:16:18 +03:00
Yuantao Feng 307324f4ac Merge pull request #24283 from fengyuentau:halide_tests
dnn: merge tests from test_halide_layers to test_backends #24283

Context: https://github.com/opencv/opencv/pull/24231#pullrequestreview-1628649980

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-27 14:09:47 +03:00
Alexander Smorkalov 43036e0031 Added CI with OpenVINO for DNN and G-API. 2023-09-27 13:45:01 +03:00
Dmitry Kurtaev 2b6d0f36f0 Merge pull request #24309 from dkurt:gemm_ov_hotfix
Update OpenVINO init of new GEMM layer #24309

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

CI validation:

- [x] 2022.1.0: https://pullrequest.opencv.org/buildbot/builders/precommit_custom_linux/builds/100368
- [ ] 2021.4.2: https://pullrequest.opencv.org/buildbot/builders/precommit_custom_linux/builds/100373

Checklist:
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-27 10:25:45 +03:00
Yuantao Feng bb171a0c05 dnn: expand refactor with cv::broadcast for onnx models (#24295)
* add expand impl with cv::broadcast

* remove expandMid

* deduce shape from -1

* add constant folding

* handle input constant; handle input constant 1d

* add expand conformance tests; add checks to disallow shape of neg values; add early copy for unchanged total elements

* fix ExpandSubgraph

* dummy commit to trigger build

* dummy commit to trigger build 1

* remove conformance from test names
2023-09-27 09:28:52 +03:00
Alexander Smorkalov 9942757bab Merge pull request #24316 from alexlyulkov:al/fix-caffe-read-segfault
Fixed segfault when reading Caffe model
2023-09-25 17:53:54 +03:00
HAN Liutong f2962e5875 Merge pull request #24305 from hanliutong:toolchain
cmake: Fix riscv-gnu toolchain file. #24305

cmake(3.22.1) failed without the keyword `PATHS` on my device when I manually set `TOOLCHAIN_COMPILER_LOCATION_HINT` in command. And this patch is going to fix this issue.

[CMake Doc](https://cmake.org/cmake/help/latest/command/find_program.html):
> find_program (
>           <VAR>
>           name | NAMES name1 [name2 ...] [NAMES_PER_DIR]
>           [HINTS [path | ENV var]... ]
>           [PATHS [path | ENV var]... ]

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-25 13:06:22 +03:00
HAN Liutong aa143a3dd1 Merge pull request #24301 from hanliutong:rewrite-stereo-sift
Rewrite Universal Intrinsic code: features2d and calib3d module. #24301

The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro: rewrite them by using the new Universal Intrinsic API.

This is the modification to the features2d module and calib3d module.

Test with clang 16 and QEMU v7.0.0. `AP3P.ctheta1p_nan_23607` failed beacuse of a small calculation error. But this patch does not touch the relevant code, and this error always reproduce on QEMU, regardless of whether the patch is applied or not. I think we can ignore it
```
[ RUN      ] AP3P.ctheta1p_nan_23607
/home/hanliutong/project/opencv/modules/calib3d/test/test_solvepnp_ransac.cpp:2319: Failure
Expected: (cvtest::norm(res.colRange(0, 2), expected, NORM_INF)) <= (3e-16), actual: 3.33067e-16 vs 3e-16
[  FAILED  ] AP3P.ctheta1p_nan_23607 (26 ms)

...

[==========] 148 tests from 64 test cases ran. (1147114 ms total)
[  PASSED  ] 147 tests.
[  FAILED  ] 1 test, listed below:
[  FAILED  ] AP3P.ctheta1p_nan_23607
```

Note: There are 2 test cases failed with GCC 13.2.1 without this patch, seems like there are someting wrong with RVV part on GCC.
```
[----------] Global test environment tear-down
[==========] 148 tests from 64 test cases ran. (1511399 ms total)
[  PASSED  ] 146 tests.
[  FAILED  ] 2 tests, listed below:
[  FAILED  ] Calib3d_StereoSGBM.regression
[  FAILED  ] Calib3d_StereoSGBM_HH4.regression
```

The patch is partially auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-25 13:03:25 +03:00
Alexander Lyulkov 72e7672a6c Fixed segfault when reading Caffe model 2023-09-25 12:55:11 +07:00
ashadrina 3889dcf3f8 Merge pull request #24286 from ashadrina:intel_icx_compiler_support
Add Intel® oneAPI DPC++/C++ Compiler (icx) #24286

Intel® C++ Compiler Classic (icc) is deprecated and will be removed in a oneAPI release in the second half of 2023 ([deprecation notice](https://community.intel.com/t5/Intel-oneAPI-IoT-Toolkit/DEPRECATION-NOTICE-Intel-C-Compiler-Classic/m-p/1412267#:~:text=Intel%C2%AE%20C%2B%2B%20Compiler%20Classic%20(icc)%20is%20deprecated%20and%20will,the%20second%20half%20of%202023.)). This commit is intended to add support for the next-generation compiler, Intel® oneAPI DPC++/C++ Compiler (icx) (the documentation for the compiler is available on the [link](https://www.intel.com/content/www/us/en/docs/dpcpp-cpp-compiler/developer-guide-reference/2023-2/overview.html)). 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-22 17:09:58 +03:00
Abduragim Shtanchaev 865e7cacca Merge pull request #24037 from Abdurrahheem:ash/dev_einsum
Add Support for Einsum Layer #24037

### This PR adding support for [Einsum Layer](https://pytorch.org/docs/stable/generated/torch.einsum.html) (in progress). 

This PR is currently not to be merged but only reviewed. Test cases are located in [#1090](https://github.com/opencv/opencv_extra/pull/1090)RP in OpenCV extra

**DONE**: 
 - [x] 2-5D GMM support added
 - [x] Matrix transpose support added
 - [x] Reduction type comupte  'ij->j'
 - [x] 2nd shape computation - during forward 

**Next PRs**:
- [ ] Broadcasting reduction "...ii ->...i"
- [ ] Add lazy shape deduction. "...ij, ...jk->...ik"
- [ ] Add implicit output computation support. "bij,bjk ->" (output subscripts should be "bik")
- [ ] Add support for CUDA backend 
- [ ] BatchWiseMultiply optimize

**Later in 5.x version (requires support for 1D matrices)**: 
- [ ] Add 1D vector multiplication support 
- [ ] Inter product "i, i" (problems with 1D shapes)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-22 11:25:02 +03:00
Liutong HAN 419060da84 Rewrite fluid related part. 2023-09-22 12:14:43 +08:00
Alexander Smorkalov b51a78d439 Merge pull request #24302 from dkurt:ts_setup_skip
Skip test cases in case of SkipTestException in SetUp
2023-09-21 12:41:08 +03:00
Alexander Smorkalov 6295f7d05b Merge pull request #24303 from asmorkalov:as/vittack_warning_fix
Warnings fix on Windows.
2023-09-20 22:08:02 +03:00
Alexander Smorkalov 219a34261f Warnings fix on Windows. 2023-09-20 16:53:40 +03:00
Alexander Smorkalov 224dac9427 Merge pull request #24126 from AleksandrPanov:fix_charuco_checkBoard
fix charuco checkBoard
2023-09-20 14:38:14 +03:00
Dmitry Kurtaev d78637102c Skip test cases in case of SkipTestException in SetUp 2023-09-20 13:27:06 +03:00
Alex 60ae973142 fix charuco checkBoard 2023-09-20 12:27:07 +03:00
Alexander Smorkalov 799bb0cd18 Merge pull request #24291 from visitorckw:fix-memory-leak
Fix memory leak and handle realloc failure
2023-09-20 08:49:56 +03:00
Yuantao Feng 8a96e34e33 dnn: add gemm_layer in place of fully_connected_layer for onnx models (#23897)
* first commit

* turned C from input to constant; force C constant in impl; better handling 0d/1d cases

* integrate with gemm from ficus nn

* fix const inputs

* adjust threshold for int8 tryQuantize

* adjust threshold for int8 quantized 2

* support batched gemm and matmul; tune threshold for rcnn_ilsvrc13; update googlenet

* add gemm perf against innerproduct

* add perf tests for innerproduct with bias

* fix perf

* add memset

* renamings for next step

* add dedicated perf gemm

* add innerproduct in perf_gemm

* remove gemm and innerproduct perf tests from perf_layer

* add perf cases for vit sizes; prepack constants

* remove batched gemm; fix wrong trans; optimize KC

* remove prepacking for const A; several fixes for const B prepacking

* add todos and gemm expression

* add optimized branch for avx/avx2

* trigger build

* update macros and signature

* update signature

* fix macro

* fix bugs for neon aarch64 & x64

* add backends: cuda, cann, inf_ngraph and vkcom

* fix cuda backend

* test commit for cuda

* test cuda backend

* remove debug message from cuda backend

* use cpu dispatcher

* fix neon macro undef in dispatcher

* fix dispatcher

* fix inner kernel for neon aarch64

* fix compiling issue on armv7; try fixing accuracy issue on other platforms

* broadcast C with beta multiplied; improve func namings

* fix bug for avx and avx2

* put all platform-specific kernels in dispatcher

* fix typos

* attempt to fix compile issues on x64

* run old gemm when neon, avx, avx2 are all not available; add kernel for armv7 neon

* fix typo

* quick fix: add macros for pack4

* quick fix: use vmlaq_f32 for armv7

* quick fix for missing macro of fast gemm pack f32 4

* disable conformance tests when optimized branches are not supported

* disable perf tests when optimized branches are not supported

* decouple cv_try_neon and cv_neon_aarch64

* drop googlenet_2023; add fastGemmBatched

* fix step in fastGemmBatched

* cpu: fix initialization ofb; gpu: support batch

* quick followup fix for cuda

* add default kernels

* quick followup fix to avoid macro redef

* optmized kernels for lasx

* resolve mis-alignment; remove comments

* tune performance for x64 platform

* tune performance for neon aarch64

* tune for armv7

* comment time consuming tests

* quick follow-up fix
2023-09-20 00:53:34 +03:00
lpylpy0514 70d7e83dca Merge pull request #24201 from lpylpy0514:4.x
VIT track(gsoc realtime object tracking model) #24201

Vit tracker(vision transformer tracker) is a much better model for real-time object tracking. Vit tracker can achieve speeds exceeding nanotrack by 20% in single-threaded mode with ARM chip, and the advantage becomes even more pronounced in multi-threaded mode. In addition, on the dataset, vit tracker demonstrates better performance compared to nanotrack. Moreover, vit trackerprovides confidence values during the tracking process, which can be used to determine if the tracking is currently lost.
opencv_zoo: https://github.com/opencv/opencv_zoo/pull/194
opencv_extra: [https://github.com/opencv/opencv_extra/pull/1088](https://github.com/opencv/opencv_extra/pull/1088)

# Performance comparison is as follows:
NOTE: The speed below is tested by **onnxruntime** because opencv has poor support for the transformer architecture for now.

ONNX speed test on ARM platform(apple M2)(ms):
| thread nums | 1| 2| 3| 4|
|--------|--------|--------|--------|--------|
| nanotrack| 5.25| 4.86| 4.72| 4.49|
| vit tracker| 4.18| 2.41| 1.97| **1.46 (3X)**|

ONNX speed test on x86 platform(intel i3 10105)(ms):
| thread nums | 1| 2| 3| 4|
|--------|--------|--------|--------|--------|
| nanotrack|3.20|2.75|2.46|2.55|
| vit tracker|3.84|2.37|2.10|2.01|

opencv speed test on x86 platform(intel i3 10105)(ms):
| thread nums | 1| 2| 3| 4|
|--------|--------|--------|--------|--------|
| vit tracker|31.3|31.4|31.4|31.4|

preformance test on lasot dataset(AUC is the most important data. Higher AUC means better tracker):

|LASOT | AUC| P| Pnorm|
|--------|--------|--------|--------|
| nanotrack| 46.8| 45.0| 43.3|
| vit tracker| 48.6| 44.8| 54.7|

[https://youtu.be/MJiPnu1ZQRI](https://youtu.be/MJiPnu1ZQRI)
 In target tracking tasks, the score is an important indicator that can indicate whether the current target is lost. In the video, vit tracker can track the target and display the current score in the upper left corner of the video. When the target is lost, the score drops significantly. While nanotrack will only return 0.9 score in any situation, so that we cannot determine whether the target is lost.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-19 15:36:38 +03:00
HAN Liutong 320c0bf419 Merge pull request #24166 from hanliutong:rewrite-remaining
Rewrite Universal Intrinsic code: ImgProc (CV_SIMD_WIDTH related Part) #24166

Related PR: #24058, #24132. The goal of this series of PRs is to modify the SIMD code blocks in the opencv/modules/imgproc folder by using the new Universal Intrinsic API.

The modification of this PR mainly focuses on the code that uses the `CV_SIMD_WIDTH` macro. This macro is sometimes used for loop tail processing, such as `box_filter.simd.hpp` and `morph.simd.hpp`.

```cpp
#if CV_SIMD
int i = 0;
for (i < n - v_uint16::nlanes; i += v_uint16::nlanes) {
// some universal intrinsic code
// e.g. v_uint16...
}
#if CV_SIMD_WIDTH > 16
for (i < n - v_uint16x8::nlanes; i += v_uint16x8::nlanes) {
// handle loop tail by 128 bit SIMD
// e.g. v_uint16x8
}
#endif //CV_SIMD_WIDTH 
#endif// CV_SIMD
```
The main contradiction is that the variable-length Universal Intrinsic backend cannot use 128bit fixed-length data structures. Therefore, this PR uses the scalar loop to handle the loop tail.

This PR is marked as draft because the modification of the `box_filter.simd.hpp` file caused a compilation error. The cause of the error is initially believed to be due to an internal error in the GCC compiler.

```bash
box_filter.simd.hpp:1162:5: internal compiler error: Segmentation fault
 1162 |     }
      |     ^
0xe03883 crash_signal
        /wafer/share/gcc/gcc/toplev.cc:314
0x7ff261c4251f ???
        ./signal/../sysdeps/unix/sysv/linux/x86_64/libc_sigaction.c:0
0x6bde48 hash_set<rtl_ssa::set_info*, false, default_hash_traits<rtl_ssa::set_info*> >::iterator::operator*()
        /wafer/share/gcc/gcc/hash-set.h:125
0x6bde48 extract_single_source
        /wafer/share/gcc/gcc/config/riscv/riscv-vsetvl.cc:1184
0x6bde48 extract_single_source
        /wafer/share/gcc/gcc/config/riscv/riscv-vsetvl.cc:1174
0x119ad9e pass_vsetvl::propagate_avl() const
        /wafer/share/gcc/gcc/config/riscv/riscv-vsetvl.cc:4087
0x119ceaf pass_vsetvl::execute(function*)
        /wafer/share/gcc/gcc/config/riscv/riscv-vsetvl.cc:4344
0x119ceaf pass_vsetvl::execute(function*)
        /wafer/share/gcc/gcc/config/riscv/riscv-vsetvl.cc:4325
Please submit a full bug report, with preprocessed source (by using -freport-bug).
Please include the complete backtrace with any bug report.
```

This PR can be compiled with Clang 16, and `opencv_test_imgproc` is passed on QEMU.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-19 15:12:52 +03:00
Kumataro b870ad46bf Merge pull request #24074 from Kumataro/fix24057
Python: support tuple src for cv::add()/subtract()/... #24074

fix https://github.com/opencv/opencv/issues/24057

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ x The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-19 10:32:47 +03:00
HAN Liutong f617fbe166 Merge pull request #24132 from hanliutong:rewrite-imgproc2
Rewrite Universal Intrinsic code by using new API: ImgProc module Part 2 #24132

The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro in the opencv/modules/imgproc folder: rewrite them by using the new Universal Intrinsic API.

This is the second part of the modification to the Imgproc module ( Part 1: #24058 ), And I tested this patch on RVV (QEMU) and AVX devices, `opencv_test_imgproc` is passed.

The patch is partially auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-19 08:52:42 +03:00
Alexander Smorkalov 8f2e6640e3 Merge pull request #24288 from tailsu:sd/emscripten-3.1.45-fixes
build fixes for emscripten 3.1.45
2023-09-19 08:09:18 +03:00
Kuan-Wei Chiu e16ca08b33 Fix memory leak and handle realloc failure
In the previous code, there was a memory leak issue where the
previously allocated memory was not freed upon a failed realloc
operation. This commit addresses the problem by releasing the old
memory before setting the pointer to NULL in case of a realloc failure.
This ensures that memory is properly managed and avoids potential
memory leaks.
2023-09-18 22:43:44 +08:00
Stefan Dragnev 9b5a719d80 build fixes for emscripten 3.1.45 2023-09-18 15:38:31 +02:00
Alexander Smorkalov 157b0e7760 Merge pull request #24275 from alexlyulkov:al/fix-tf-graph-simplifier
Fixed removePhaseSwitches in tf_graph_simplifier
2023-09-18 11:02:44 +03:00
Alexander Smorkalov 0a53afe8ba Merge pull request #24278 from georgthegreat:compat-fixes
More fixes for iterators-are-pointers case
2023-09-18 10:47:53 +03:00
Dmitry Kurtaev 6bc369fc56 Merge pull request #24250 from dkurt:ts_fixture_constructor_skip_2
Skip test on SkipTestException at fixture's constructor (version 2) #24250

### Pull Request Readiness Checklist

Another version of https://github.com/opencv/opencv/pull/24186 (reverted by https://github.com/opencv/opencv/pull/24223). Current implementation cannot handle skip exception at `static void SetUpTestCase` but works on `virtual void SetUp`.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-18 10:23:24 +03:00
Vincent Rabaud 687fc11626 Merge pull request #24274 from vrabaud:webp_1.3.2
Merge pull request #24274 from vrabaud:webp_1.3.2
 
Bump libwebp to 1.3.2 #24274

This is version [c1ffd9a](https://chromium.googlesource.com/webm/libwebp/+/c1ffd9ac7593894c40a1de99d03f0b7af8af2577)
It is 1.3.2 with a few patches that were made right after to help compilation.
No need for patches on the OpenCV side!

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
2023-09-15 14:25:49 +03:00
Yuriy Chernyshov 638c575c73 More fixes for iterators-are-pointers case 2023-09-15 12:37:43 +03:00
Alexander Lyulkov d4cb564ce2 Fixed removePhaseSwitches in tf_graph_simplifier 2023-09-15 14:22:21 +07:00
HAN Liutong 5e9191558d Merge pull request #24058 from hanliutong:rewrite-imgporc
Rewrite Universal Intrinsic code by using new API: ImgProc module. #24058

The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro in the `opencv/modules/imgproc` folder: rewrite them by using the new Universal Intrinsic API. 

For easier review, this PR includes a part of the rewritten code, and another part will be brought in the next PR (coming soon). I tested this patch on RVV (QEMU) and AVX devices, `opencv_test_imgproc` is passed.

The patch is partially auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter), related PR https://github.com/opencv/opencv/pull/23885 and https://github.com/opencv/opencv/pull/23980.



### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-14 20:37:46 +03:00
Alexander Smorkalov 515f119a59 Merge pull request #24270 from dkurt:fix_24256
Higher threshold for FasterRCNN_vgg16
2023-09-14 15:58:23 +03:00
Vincent Rabaud 3880d059b3 Merge pull request #24260 from vrabaud:ubsan
Fix undefined behavior arithmetic in copyMakeBorder and adjustROI. #24260

This is due to the undefined: negative int multiplied by size_t pointer increment.

To test, compile with:
```
mkdir build
cd build
cmake ../ -DCMAKE_C_FLAGS_INIT="-fsanitize=undefined" -DCMAKE_CXX_FLAGS_INIT="-fsanitize=undefined" -DCMAKE_C_COMPILER="/usr/bin/clang" -DCMAKE_CXX_COMPILER="/usr/bin/clang++" -DCMAKE_SHARED_LINKER_FLAGS="-fsanitize=undefined -lubsan"
```
And run:
```
make -j opencv_test_core && ./bin/opencv_test_core --gtest_filter=*UndefinedBehavior*
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-14 15:16:28 +03:00
Alexander Smorkalov ec1c0608bc Merge pull request #24131 from cudawarped:cuda_add_default_ptx
`cuda`: update default PTX behaviour when `CUDA_ARCH_BIN` is unset
2023-09-14 15:00:34 +03:00
Alexander Smorkalov fa81936a5b Merge pull request #24269 from FlyinTeller:patch-1
Update OpenCVFindOpenBLAS.cmake to accomodate alternative lib name
2023-09-14 14:17:22 +03:00
Dmitry Kurtaev c5edd20354 Higher threshold for FasterRCNN_vgg16 2023-09-14 13:11:53 +03:00
alexlyulkov 1e54e56579 Merge pull request #24266 from alexlyulkov:al/tf-argmax-default-dim
Added default dimension value to tensorflow ArgMax and ArgMin layers #24266

Added default dimension value to tensorflow ArgMax and ArgMin layers.
Added exception when accessing layer's input with out of range index.
Fixes https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=48452
2023-09-14 10:25:24 +03:00
FlyinTeller 347a1e2913 Update OpenCVFindOpenBLAS.cmake to accomodate alternative lib name
openBLAS windows release calls their library libopenblas which was not recognized before. see #24268
2023-09-14 09:04:41 +02:00
Alexander Smorkalov 4790a3732e Merge pull request #24263 from georgthegreat:msan-include
Add missing sanitizer interface include
2023-09-13 14:50:59 +03:00
Yuriy Chernyshov eb20bb3b23 Add missing sanitizer interface include 2023-09-13 12:15:34 +03:00
Alexander Smorkalov 97614920ef Merge pull request #24247 from AleksandrPanov:fix_drawDetectedCornersCharuco_type_error
fix type cast in drawDetectedMarkers, drawDetectedCornersCharuco, drawDetectedDiamonds
2023-09-12 17:38:44 +03:00
Alex ae1d1b6d55 fix drawDetectedCornersCharuco, drawDetectedMarkers, drawDetectedDiamonds added tests 2023-09-12 12:17:57 +03:00
Alexander Smorkalov 6694d87a23 Merge pull request #24239 from asmorkalov:as/msmf_returned_fourcc
More strict test for MSMF FOURCC (camera)
2023-09-11 11:00:54 +03:00
Alexander Smorkalov ee867ead1d Merge pull request #24248 from opencv-pushbot:gitee/alalek/issue_22751
JavaScript: include LUT support
2023-09-11 08:59:02 +03:00
Alexander Smorkalov 62c0556c58 Merge pull request #24252 from opencv-pushbot:gitee/alalek/refactor_24218
cmake: revise OPENCV_DNN_BACKEND_DEFAULT integration
2023-09-11 08:55:19 +03:00
Alexander Alekhin 02525abd9f cmake: revise OPENCV_DNN_BACKEND_DEFAULT integration
- disable message on default value
2023-09-10 13:11:36 +00:00
Alexander Alekhin c552e9eede Merge pull request #24251 from dkurt:ov_build_debug 2023-09-10 12:58:31 +00:00
Dmitry Kurtaev 5dc5b27858 Enable build with OpenVINO in Debug 2023-09-09 20:38:59 +03:00
Alexander Alekhin c319735d9b js: include LUT support 2023-09-09 03:31:39 +00:00
Alexander Smorkalov 1a8d37d19e Merge pull request #24245 from alexlyulkov/al/update-fast-neural-style-dnn-sample
Replaced torch7 model by ONNX model in fast-neural-style dnn sample
2023-09-08 16:33:18 +03:00
alexlyulkov 91cf0d1843 Merge pull request #24244 from alexlyulkov:al/update-dnn-js-face-recognition-sample
Replaced torch7 by onnx model in js_face_recognition dnn sample #24244

Changed face recognition model in js_face_recognition dnn sample: replaced torch7 model from https://github.com/pyannote/pyannote-data by ONNX model from https://github.com/opencv/opencv_zoo/tree/main/models/face_recognition_sface
2023-09-08 15:36:01 +03:00
Alexander Lyulkov 910db5c9b7 changed readNetFromONNX to readNet 2023-09-08 18:36:13 +07:00
Alexander Smorkalov e60825e75b Merge pull request #24218 from CSBVision:patch-5
Added CMake configuration OPENCV_DNN_BACKEND_DEFAULT
2023-09-08 14:21:39 +03:00
Alexander Smorkalov 5a042af7e3 Merge pull request #24246 from asmorkalov:as/merge_input_check2
Check that cv::merge input matrices are not empty
2023-09-08 13:41:43 +03:00
Alexander Smorkalov 0367a12b92 Check that cv::merge input matrices are not empty. 2023-09-08 12:36:46 +03:00
Alexander Smorkalov 757d296382 Merge pull request #24228 from AleksandrPanov:fix_extendDictionary
fix extendDictionary
2023-09-08 11:01:43 +03:00
Alexander Lyulkov ceeb01dce5 Replaced torch7 by onnx model in fast-neural-style dnn sample 2023-09-08 12:44:22 +07:00
Alex e5ff41ec9b fixes extendDictionary, add test 2023-09-07 16:01:51 +03:00
jason_w e8f94182f5 Merge pull request #24180 from MambaWong:4.x
Fixed the channels when capturing yuv422 with v4l2 backend #24180

example to reproduce the problem
```cpp
#include <iostream>

#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/videoio.hpp>

using namespace cv;
using namespace std;

void help_func(VideoCapture& cap) {
  int height      = cap.get(cv::CAP_PROP_FRAME_HEIGHT);
  int width       = cap.get(cv::CAP_PROP_FRAME_WIDTH);
  int pixel_type  = cap.get(cv::CAP_PROP_FORMAT);
  int channels    = CV_MAT_CN(pixel_type);
  int pixel_bytes = CV_ELEM_SIZE(pixel_type);
  bool to_bgr     = static_cast<bool>(cap.get(cv::CAP_PROP_CONVERT_RGB));

  std::cout << "backend: " << cap.getBackendName() << std::endl;
  std::cout << std::hex << "fourcc: " << static_cast<int>(cap.get(cv::CAP_PROP_FOURCC)) << std::endl;
  std::cout << std::boolalpha << "to_bgr: " << to_bgr << std::endl;
  std::cout << std::dec << "height: " << height << " width: " << width << " channels: " << channels
            << " pixel_bytes: " << pixel_bytes << std::endl;

  std::cout << "-----------------------------------------" << std::endl;
}

int main(int, char**) {

  VideoCapture cap;
  cap.open("/dev/video0");
  if (!cap.isOpened()) {
    cerr << "ERROR! Unable to open camera\n";
    return -1;
  }

  {
    help_func(cap);
  }

  {
    cap.set(cv::CAP_PROP_FRAME_HEIGHT, 1080);
    cap.set(cv::CAP_PROP_FRAME_WIDTH, 1920);
    cap.set(cv::CAP_PROP_CONVERT_RGB, 0);
    help_func(cap);
  }

  // {
  //   cap.set(cv::CAP_PROP_CONVERT_RGB, 0);
  //   cap.set(cv::CAP_PROP_FRAME_HEIGHT, 1080);
  //   cap.set(cv::CAP_PROP_FRAME_WIDTH, 1920);
  //   help_func(cap);
  // }

  Mat frame;
  int frame_idx = 0;
  while (cap.read(frame)) {
    std::cout << "frame index: " << frame_idx++ << std::endl;
    help_func(cap);
    if (frame.empty()) {
      cerr << "ERROR! blank frame grabbed\n";
      break;
    }
    Mat bgr;
    if (cap.get(cv::CAP_PROP_CONVERT_RGB)) {
      bgr = frame;
    } else {
      cv::cvtColor(frame, bgr, cv::COLOR_YUV2BGR_YUYV);
    }

    imshow("frame", bgr);
    if (waitKey(5) >= 0) {
      break;
    }
  }

  return 0;
}
```
The above code will get the wrong channels. By changing lines 41-45 like below, can get the correct channels.
<img width="747" alt="code" src="https://github.com/opencv/opencv/assets/16932438/55f44463-8465-4dba-a979-e71a50d58008">
This is because `cap.set(cv::CAP_PROP_FRAME_HEIGHT, 1080);` and `cap.set(cv::CAP_PROP_FRAME_WIDTH, 1920);` reinitialize the `frame`, but `cap.set(cv::CAP_PROP_CONVERT_RGB, 0);` not.
Log info.
<img width="691" alt="log" src="https://github.com/opencv/opencv/assets/16932438/236e3b26-f5b2-447a-b202-bcd607c71af6">
We can also observe that we get the correct channels in the while loop. This is because:
https://github.com/opencv/opencv/blob/ca0bd70cde431b1dd211254011dd9bcf965f582f/modules/videoio/src/cap_v4l.cpp#L2309-L2310
reinitialize the `frame`.
2023-09-07 15:47:00 +03:00
Alexander Smorkalov 5c9f58e124 More strict test for MSMF FOURCC (camera). 2023-09-07 13:16:20 +03:00
beanjoy d0de575aef Merge pull request #24142 from beanjoy:4.x
Modify the outputVideoFormat after changing the output format in MSMF backend #24142

After changing the output format, need to modify the outputVideoFormat, otherwise the outputVideoFormat is always CV_CAP_MODE_BGR, and an error will occur when converting the format in retrieveVideoFrame(), and will always enter "case CV_CAP_MODE_BGR:" process.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

Co-authored-by: 李龙 <lilong@sobey.com>
2023-09-07 13:06:39 +03:00
Alexander Smorkalov 1ebea1e0f0 Merge pull request #24232 from georgthegreat:missing-qualifiers
Add missing std namespace qualifiers
2023-09-06 17:50:51 +03:00
Alexander Smorkalov 5350fba319 Merge pull request #24128 from CSBVision:CSBVision-patch-1
Fix bug at blobFromImagesWithParams
2023-09-06 16:20:37 +03:00
Yuriy Chernyshov 8a415c881a Add missing std namespace qualifiers 2023-09-06 13:46:39 +03:00
CSBVision 674c618471 Update dnn_utils.cpp 2023-09-06 10:01:07 +03:00
Alexander Smorkalov f64738218a Merge pull request #24227 from georgthegreat:missing-includes
Add missing <sstream> includes
2023-09-06 09:16:57 +03:00
Yuriy Chernyshov 494d201fda Add missing <sstream> includes 2023-09-05 22:04:26 +03:00
Alexander Smorkalov 91808e64a1 Merge pull request #24211 from philsc:fix-asan-crash
Fix "use after free" issue in `essential_solver.cpp`
2023-09-05 18:42:58 +03:00
Dmitry Kurtaev 178fdbbda8 Merge pull request #24196 from dkurt:ov_backend_cleanups
Use ngraph::Output in OpenVINO backend wrapper #24196

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24102

* Use `ngraph::Output<ngraph::Node>>` insead of `std::shared_ptr<ngraph::Node>` as a backend wrapper. It lets access to multi-output nodes: https://github.com/opencv/opencv/blob/588ddf1b181aa7243144b27d65fc7690fb89e344/modules/dnn/src/net_openvino.cpp#L501-L504
* All layers can be customizable with OpenVINO >= 2022.1. nGraph reference code used for default layer implementation does not required CPU plugin also (might be tested by commenting CPU plugin at `/opt/intel/openvino/runtime/lib/intel64/plugins.xml`).
* Correct inference if only intermediate blobs requested.


See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-05 18:08:28 +03:00
Yuriy Chernyshov 2c53e3f53d Merge pull request #24204 from georgthegreat:mser-license
Properly preserve chi_table license as mandated by BSD-3-Clause #24204

Amend reference to online hosted file with the full license quotation as mandated by the original license.
2023-09-05 17:05:47 +03:00
Alexander Smorkalov af9be78ead Merge pull request #24223 from asmorkalov:as/24186_revert
Revert PR 24186 as it forces skipping tests
2023-09-05 16:35:46 +03:00
Alexander Smorkalov c9d70d46b1 Merge pull request #24139 from AleksandrPanov:fix_refineDetectedMarkers
fix refineDetectedMarkers
2023-09-05 15:24:57 +03:00
Dmitry Kurtaev c4c2e2e796 Merge pull request #24214 from dkurt:distanceTransform_big_step
Fix distanceTransform for inputs with large step and height #24214

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23895

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-05 15:21:10 +03:00
Alexander Smorkalov cca4ee2e46 Revert PR 24186 as it force skip tests. 2023-09-05 14:35:37 +03:00
Alexander Smorkalov 21fb10c6a3 Merge pull request #24209 from alexlyulkov:al/fixed-mjpeg
Fixed bug with the last 4 bytes in MJPEG encoder
2023-09-05 13:45:26 +03:00
Björn Böken 639836ebf0 Added CMake configuration OPENCV_DNN_BACKEND_DEFAULT 2023-09-05 10:05:12 +02:00
Dmitry Kurtaev 6ae7caaa01 Merge pull request #24216 from dkurt:inter_lines_less_compute
Minor optimization of two lines intersection #24216

### Pull Request Readiness Checklist

Not significant, but we can reduce number of multiplications while compute two lines intersection. Both methods are used heavily in their modules.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-05 10:44:56 +03:00
Alexander Lyulkov f280e3cbd9 Fixed bug with the last 4 bytes in MJPEG encoder. 2023-09-05 10:38:19 +03:00
Alexander Smorkalov 9eba360eab Merge pull request #24221 from WanliZhong:issue_24016
Increase the test threshold of FastRCNN_vgg166 and FastRCNN_zf when FAST_MATH enable
2023-09-05 10:20:43 +03:00
Wanli 84f32bbb24 increase Fast Math threshold 2023-09-05 14:03:54 +08:00
Philipp Schrader c91c631ae2 Fix "use after free" issue in essential_solver.cpp
The address sanitizer highlighted this issue in our code base. It
looks like the code is currently grabbing a pointer to a temporary
object and then performing operations on it.

I printed some information right before the asan crash:

    eigensolver address: 0x7f0ad95032f0
    eigensolver size: 4528
    eig_vecs_ ptr: 0x7f0ad95045e0
    eig_vecs_ offset: 4848

This shows that `eig_vecs_` points past the end of `eigensolver`. In
other words, it points at the temporary object created by the
`eigensolver.eigenvectors()` call.

Compare the docs for `.eigenvalues()`:
https://eigen.tuxfamily.org/dox/classEigen_1_1EigenSolver.html#a0f507ad7ab14797882f474ca8f2773e7
to the docs for `.eigenvectors()`:
https://eigen.tuxfamily.org/dox/classEigen_1_1EigenSolver.html#a66288022802172e3ee059283b26201d7

The difference in return types is interesting. `.eigenvalues()`
returns a reference. But `.eigenvectors()` returns a matrix.

This patch here fixes the problem by saving the temporary object and
then grabbing a pointer into it.

This is a curated snippet of the original asan failure:

    ==12==ERROR: AddressSanitizer: stack-use-after-scope on address 0x7fc633704640 at pc 0x7fc64f7f1593 bp 0x7ffe8875fc90 sp 0x7ffe8875fc88
    READ of size 8 at 0x7fc633704640 thread T0
        #0 0x7fc64f7f1592 in cv::usac::EssentialMinimalSolverStewenius5ptsImpl::estimate(std::__1::vector<int, std::__1::allocator<int> > const&, std::__1::vector<cv::Mat, std::__1::allocator<cv::Mat> >&) const /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/essential_solver.cpp:181:48
        #1 0x7fc64f915d92 in cv::usac::EssentialEstimatorImpl::estimateModels(std::__1::vector<int, std::__1::allocator<int> > const&, std::__1::vector<cv::Mat, std::__1::allocator<cv::Mat> >&) const /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/estimator.cpp:110:46
        #2 0x7fc64fa74fb0 in cv::usac::Ransac::run(cv::Ptr<cv::usac::RansacOutput>&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/ransac_solvers.cpp:152:58
        #3 0x7fc64fa6cd8e in cv::usac::run(cv::Ptr<cv::usac::Model const> const&, cv::_InputArray const&, cv::_InputArray const&, int, cv::Ptr<cv::usac::RansacOutput>&, cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/ransac_solvers.cpp:1010:16
        #4 0x7fc64fa6fb46 in cv::usac::findEssentialMat(cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, int, double, double, cv::_OutputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/ransac_solvers.cpp:527:9
        #5 0x7fc64f3b5522 in cv::findEssentialMat(cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, int, double, double, int, cv::_OutputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/five-point.cpp:437:16
        #6 0x7fc64f3b7e00 in cv::findEssentialMat(cv::_InputArray const&, cv::_InputArray const&, cv::_InputArray const&, int, double, double, cv::_OutputArray const&) /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/five-point.cpp:486:12
        ...

    Address 0x7fc633704640 is located in stack of thread T0 at offset 17984 in frame
        #0 0x7fc64f7ed4ff in cv::usac::EssentialMinimalSolverStewenius5ptsImpl::estimate(std::__1::vector<int, std::__1::allocator<int> > const&, std::__1::vector<cv::Mat, std::__1::allocator<cv::Mat> >&) const /proc/self/cwd/external/com_github_opencv_opencv/modules/calib3d/src/usac/essential_solver.cpp:36

      This frame has 63 object(s):
        [32, 56) 'coefficients' (line 38)
        [96, 384) 'ee' (line 55)
        ...
        [13040, 17568) 'eigensolver' (line 142)
        [17824, 17840) 'ref.tmp518' (line 143)
        [17856, 17872) 'ref.tmp523' (line 144)
        [17888, 19488) 'ref.tmp524' (line 144) <== Memory access at offset 17984 is inside this variable
        [19616, 19640) 'ref.tmp532' (line 169)
        ...

The crash report says that we're accessing a temporary object from
line 144 when we shouldn't be. Line 144 looks like this:
https://github.com/opencv/opencv/blob/4.6.0/modules/calib3d/src/usac/essential_solver.cpp#L144

    const auto * const eig_vecs_ = (double *) eigensolver.eigenvectors().real().data();

We are using version 4.6.0 for this, but the problem is present on the
4.x branch.

Note that I am dropping the .real() call here. I think that is safe because
of the code further down (line 277 in the most recent version):

    const int eig_i = 20 * i + 12; // eigen stores imaginary values too

The code appears to expect to have to skip doubles for the imaginary parts
of the complex numbers.

Admittedly, I couldn't find a test case that exercised this code path to
validate correctness.
2023-09-04 11:10:05 -07:00
Alex ca527040e2 fix refineDetectedMarkers, add test 2023-09-04 18:28:28 +03:00
alexander-varjo 114c23e411 Merge pull request #23607 from alexander-varjo:alexander-varjo-patch-1
Fix crash in ap3p #23607

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-04 17:49:45 +03:00
Alexander Smorkalov 748279d5f1 Merge pull request #23904 from kai-waang:removing-unreachable
removing unreachable codes in `gbackend`
2023-09-04 17:06:45 +03:00
Alexander Smorkalov e274e72869 Merge pull request #24098 from 0xMihir:4.x
Fix fullscreen behavior for macOS
2023-09-04 16:48:04 +03:00
Alexander Smorkalov 4dd755443a Merge pull request #24215 from Kumataro:fix24213
core: arm64: v_round() works with round to nearest, ties to even.
2023-09-04 12:51:02 +03:00
Dmitry Matveev d19fc1264b Merge pull request #24178 from dmatveev:dm/streaming_queue
G-API: Introduce a Queue Source #24178

- Added a new IStreamSource class: in fact, a wrapper over a concurrent queue;
- Added minimal example on how it can be used;
- Extended IStreamSource with optional "halt" interface to break the blocking calls in the emitter threads when required to stop.
- Introduced a QueueInput class which allows to pass the whole graph's input vector at once. In fact it is a thin wrapper atop of individual Queue Sources.

There is a hidden trap found with our type system as described in https://github.com/orgs/g-api-org/discussions/2

While it works even in this form, it should be addressed somewhere in the 5.0 timeframe.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-04 12:48:53 +03:00
Alexander Smorkalov d3bccd7b23 Merge pull request #24199 from Kumataro:fixlibTiffSite
imgcodecs: fix libtiff URL in opencv source code
2023-09-04 10:54:43 +03:00
Kumataro 72bb8bb73c core: arm64: v_round() works with round to nearest, ties to even. 2023-09-04 10:27:55 +03:00
Alexander Smorkalov c53b3c5f84 Merge pull request #24203 from thesamesam:arm64-fp16
Fix compilation on arm64 with FP16 when disabled
2023-09-04 09:32:46 +03:00
Yuantao Feng a308dfca98 core: add broadcast (#23965)
* add broadcast_to with tests

* change name

* fix test

* fix implicit type conversion

* replace type of shape with InputArray

* add perf test

* add perf tests which takes care of axis

* v2 from ficus expand

* rename to broadcast

* use randu in place of declare

* doc improvement; smaller scale in perf

* capture get_index by reference
2023-08-30 09:53:59 +03:00
Sam James c20febdbb0 Fix compilation on arm64 with FP16 when disabled
If building with -mcpu=native or any other setting which implies the current
CPU has FP16 but with intrinsics disabled, we mistakenly try to use it even
though convolution.hpp conditionally defines it correctly based on whether
we should *use it*. convolution.cpp on the other hand was mismatched and
trying to use it if the CPU supported it, even if not enabled in the build
system.

Make the guards match.

Bug: https://bugs.gentoo.org/913031
Signed-off-by: Sam James <sam@gentoo.org>
2023-08-29 03:05:49 +01:00
Vincent Rabaud 8a1b998b2b Merge pull request #24194 from vrabaud:compilation_fix
* Fix compilation when forcing later C++.

* Remove random_shuffle.

* Remove random_shuffle.
2023-08-27 17:46:24 +00:00
Kumataro 4b1a4bdb49 imgcodecs: fix libtiff homepage 2023-08-27 19:49:37 +09:00
Dmitry Kurtaev 588ddf1b18 Merge pull request #24186 from dkurt:ts_fixture_constructor_skip
Skip test on SkipTestException at fixture's constructor

* Skip test on SkipTestException at fixture's constructor

* Add warning supression

* Skip Python tests if no test file found

* Skip instances of test fixture with exception at SetUpTestCase

* Skip test with exception at SetUp method

* Try remove warning disable

* Add CV_NORETURN

* Remove FAIL assertion

* Use findDataFile to throw Skip exception

* Throw exception conditionally
2023-08-25 14:53:34 +03:00
Kumataro 81cc89a3ce Merge pull request #24179 from Kumataro:fix24145
* core:add OPENCV_IPP_MEAN/MINMAX/SUM option to enable IPP optimizations

* fix: to use guard HAVE_IPP and ocv_append_source_file_compile_definitions() macro.

* support OPENCV_IPP_ENABLE_ALL

* add document for OPENCV_IPP_ENABLE_ALL

* fix OPENCV_IPP_ENABLE_ALL comment
2023-08-23 22:53:11 +03:00
Alexander Alekhin bb43927077 Merge pull request #24189 from dkurt:skip_ov_max_pool_ov 2023-08-23 11:59:22 +00:00
Dmitry Kurtaev a0debc3a9a Enable OpenVINO max pooling with indices since 2022.1 2023-08-23 10:39:38 +03:00
Alexander Alekhin ca0bd70cde Merge pull request #24143 from seanm:sprintf4 2023-08-18 15:49:20 +00:00
Alexander Alekhin 613ff7c85d Merge pull request #24176 from dkurt:correct_perf_test 2023-08-18 15:48:53 +00:00
Dmitry Kurtaev d88ad46978 Remove explitit transB attribute from MatMul perf test 2023-08-18 15:10:14 +03:00
Alexander Alekhin bb7c35b99f Merge pull request #24160 from mshabunin:update-ade 2023-08-18 08:02:44 +00:00
Alexander Alekhin 2b87e78e18 Merge pull request #24157 from dkurt:gapi_ov_optional 2023-08-18 08:02:11 +00:00
Alexander Alekhin 6b3b8c59c3 Merge pull request #24172 from CSBVision:CSBVision-patch-1-1 2023-08-18 06:17:58 +00:00
CSBVision 70a58d7198 Use STRING instead of PATH to fix #24141 2023-08-17 12:02:29 +02:00
autoantwort 4761c28143 Merge pull request #24168 from autoantwort:missing-include-3
* add missing include

* Apply CR
2023-08-17 09:34:50 +00:00
autoantwort f5a14532c2 Merge pull request #24167 from autoantwort:missing-include
* add missing include

* Apply CR
2023-08-17 09:34:19 +00:00
Sean McBride d792ebc5d2 Fixed buffer overrun; removed the last two uses of sprintf
Fixed an off-by-1 buffer resize, the space for the null termination was forgotten.

Prefer snprintf, which can never overflow (if given the right size).

In one case I cheated and used strcpy, because I cannot figure out the buffer size at that point in the code.
2023-08-16 20:04:17 -04:00
Alexander Alekhin abda763073 Merge pull request #24150 from DeePingXian:4.x 2023-08-16 22:25:11 +00:00
Dmitry Kurtaev 8ad5eb521a Merge pull request #24120 from dkurt:actualize_dnn_links
OCL_FP16 MatMul with large batch

* Workaround FP16 MatMul with large batch

* Fix OCL reinitialization

* Higher thresholds for INT8 quantization

* Try fix gemm_buffer_NT for half (columns)

* Fix GEMM by rows

* Add batch dimension to InnerProduct layer test

* Fix Test_ONNX_conformance.Layer_Test/test_basic_conv_with_padding

* Batch 16

* Replace all vload4

* Version suffix for MobileNetSSD_deploy Caffe model
2023-08-16 15:46:11 +03:00
Alexander Alekhin 8d1c73a912 Merge pull request #24156 from zihaomu:fix_24041 2023-08-16 12:37:50 +00:00
MuZihao 16681d1080 fix the issue in layer fused 2023-08-16 09:34:59 +08:00
Maksim Shabunin 8e52c0155b gapi: update ADE library to 0.1.2b 2023-08-15 20:49:21 +03:00
Alexander Alekhin ace781740c Merge pull request #24153 from Ginkgo-Biloba:ipp-warp-affine 2023-08-15 11:33:26 +00:00
Dmitry Kurtaev ad7ecf1dba Mark OpenVINO models for G-API tests optional 2023-08-15 11:32:44 +03:00
Mihir Patil fb34f36c69 style: remove extraneous std::cout 2023-08-14 19:11:14 -04:00
Ginkgo a301d1c298 fix ipp_warpAffine return value error 2023-08-14 20:58:35 +08:00
Alexander Alekhin 27d718b223 Merge pull request #24138 from mshabunin:fix-gst-plugin-camera 2023-08-13 19:47:21 +00:00
DeePingXian a300e7e945 Adding support for Streamlabs Desktop Virtual Webcam
Streamlabs Desktop has the same issue in https://github.com/opencv/opencv/issues/19746.
This fixes it using https://github.com/opencv/opencv/pull/23460 method.
2023-08-13 16:40:38 +08:00
cudawarped 358e3065ab cuda: add default ptx when CUDA_ARCH_BIN is missing and allow CUDA_ARCH_PTX to be passed in isolation 2023-08-12 11:09:06 +03:00
Alexander Smorkalov 747b7cab6c Merge pull request #23734 from seanm:unaligned-copy
Fixed invalid cast and unaligned memory access
2023-08-11 15:23:08 +03:00
Alexander Smorkalov 232c67bf76 Merge pull request #24140 from sthibaul:4.x
Fix GNU/Hurd build
2023-08-11 12:32:22 +03:00
Alexander Smorkalov 5b41134ee7 Merge pull request #24012 from cudawarpedЖvideocapture_raw_read
`VideoCapture`: remove decoder initialization when demuxing
2023-08-11 11:28:57 +03:00
HAN Liutong 0dd7769bb1 Merge pull request #23980 from hanliutong:rewrite-core
Rewrite Universal Intrinsic code by using new API: Core module. #23980

The goal of this PR is to match and modify all SIMD code blocks guarded by `CV_SIMD` macro in the `opencv/modules/core` folder and rewrite them by using the new Universal Intrinsic API.

The patch is almost auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter), related PR #23885.

Most of the files have been rewritten, but I marked this PR as draft because, the `CV_SIMD` macro also exists in the following files, and the reasons why they are not rewrited are:

1. ~~code design for fixed-size SIMD (v_int16x8, v_float32x4, etc.), need to manually rewrite.~~ Rewrited
- ./modules/core/src/stat.simd.hpp
- ./modules/core/src/matrix_transform.cpp
- ./modules/core/src/matmul.simd.hpp

2. Vector types are wrapped in other class/struct, that are not supported by the compiler in variable-length backends. Can not be rewrited directly.
- ./modules/core/src/mathfuncs_core.simd.hpp 
```cpp
struct v_atan_f32
{
    explicit v_atan_f32(const float& scale)
    {
...
    }

    v_float32 compute(const v_float32& y, const v_float32& x)
    {
...
    }

...
    v_float32 val90; // sizeless type can not used in a class
    v_float32 val180;
    v_float32 val360;
    v_float32 s;
};
```

3. The API interface does not support/does not match

- ./modules/core/src/norm.cpp 
Use `v_popcount`, ~~waiting for #23966~~ Fixed
- ./modules/core/src/has_non_zero.simd.hpp
Use illegal Universal Intrinsic API: For float type, there is no logical operation `|`. Further discussion needed

```cpp
/** @brief Bitwise OR

Only for integer types. */
template<typename _Tp, int n> CV_INLINE v_reg<_Tp, n> operator|(const v_reg<_Tp, n>& a, const v_reg<_Tp, n>& b);
template<typename _Tp, int n> CV_INLINE v_reg<_Tp, n>& operator|=(v_reg<_Tp, n>& a, const v_reg<_Tp, n>& b);
```

```cpp
#if CV_SIMD
    typedef v_float32 v_type;
    const v_type v_zero = vx_setzero_f32();
    constexpr const int unrollCount = 8;
    int step = v_type::nlanes * unrollCount;
    int len0 = len & -step;
    const float* srcSimdEnd = src+len0;

    int countSIMD = static_cast<int>((srcSimdEnd-src)/step);
    while(!res && countSIMD--)
    {
        v_type v0 = vx_load(src);
        src += v_type::nlanes;
        v_type v1 = vx_load(src);
        src += v_type::nlanes;
....
        src += v_type::nlanes;
        v0 |= v1; //Illegal ?
....
        //res = v_check_any(((v0 | v4) != v_zero));//beware : (NaN != 0) returns "false" since != is mapped to _CMP_NEQ_OQ and not _CMP_NEQ_UQ
        res = !v_check_all(((v0 | v4) == v_zero));
    }

    v_cleanup();
#endif
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-08-11 08:33:33 +03:00
Samuel Thibault 82de5b3a67 Fix GNU/Hurd build
It has the usual Unix filesystem operations.
2023-08-10 22:43:46 +02:00
Alexander Smorkalov 3421b950ce Merge pull request #24133 from alexlyulkov:al/fixed-msmf-webcam
Fixed bug when MSMF webcamera doesn't start when build with VIDEOIO_PLUGIN_ALL
2023-08-10 11:48:38 +03:00
Maksim Shabunin 53dfd9536a videoio: fix camera opening with GStreamer plugin 2023-08-10 11:39:29 +03:00
chaebkimm f834736307 Merge pull request #24116 from chaebkimm/update-samples-python-tst_scene_render
Fix python sample code (tst_scene_render) #24116

Fix bug of python sample code (samples/python/tst_scene_render.py) when backGr or fgr is None (#24114)

1) pass shape tuple to np.zeros arguments instead of integers
2) change np.int to int

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [o] I agree to contribute to the project under Apache 2 License.
- [o] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [o] The PR is proposed to the proper branch
- [o] There is a reference to the original bug report and related work
- [o] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [o] The feature is well documented and sample code can be built with the project CMake
2023-08-09 13:46:25 +03:00
Alexander Lyulkov 4a12707103 Fixed bug when MSMF webcamera doesn't start when build with VIDEOIO_PLUGIN_ALL 2023-08-09 18:43:49 +08:00
Alexander Smorkalov eccfd98b92 Merge pull request #24089 from cudawarped:cuda_gpumat_fix_convertTo_copyTo_bindings
`cuda`: Fix `GpuMat::copyTo` and `GpuMat::converTo` python bindings
2023-08-09 13:25:39 +03:00
Alexander Smorkalov 9b5b2540a4 Merge pull request #24086 from Kumataro:fix24081
videoio: doc: add odd width or height limitation for FFMPEG
2023-08-09 09:31:47 +03:00
Yuantao Feng ba70ec99b3 Merge pull request #24122 from fengyuentau:remove_tengine
dnn: cleanup of tengine backend #24122

🚀 Cleanup for OpenCV 5.0. Tengine backend is added for convolution layer speedup on ARM CPUs, but it is not maintained and the convolution layer on our default backend has reached similar performance to that of Tengine.

Tengine backend related PRs:
- https://github.com/opencv/opencv/pull/16724
- https://github.com/opencv/opencv/pull/18323

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-08-09 09:26:02 +03:00
Alexander Smorkalov 7d59db4ec4 Merge pull request #24108 from LaurentBerger:I24044
Solved bug in Reduce layer #24044
2023-08-07 12:39:05 +03:00
Mihir Patil afb406f1de style: remove trailing whitespace 2023-08-06 20:10:05 -04:00
unknown 87b7ce4415 Solved issue 24044 2023-08-04 21:57:22 +02:00
Laurent Berger 2ff16d4c45 Merge pull request #24101 from LaurentBerger:I24076
Invalid memory access fix for ONNX split layer parser #24076 #24101

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work https://github.com/opencv/opencv/issues/24076
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-08-04 12:18:49 +03:00
Alexander Smorkalov 5466fd2606 Merge pull request #24104 from cudawarped:cuda_fix_cuda_toolkit_12_2
`cuda`: fix for compatibility with CUDA Toolkit >= 12.2.0
2023-08-04 12:11:15 +03:00
Dmitry Kurtaev 4b8aeb1129 Merge pull request #24039 from dkurt:tflite_test_backends
TFLite models on different backends (tests and improvements) #24039

### Pull Request Readiness Checklist

* MaxUnpooling with OpenVINO
* Fully connected with transposed inputs/weights with OpenVINO
* Enable backends tests for TFLite (related to https://github.com/opencv/opencv/issues/23992#issuecomment-1640691722)
* Increase existing tests thresholds

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-08-04 11:28:51 +03:00
Dmitry Kurtaev 96f23e3da1 Merge pull request #24080 from dkurt:dnn_cuda_layers
Resolve uncovered CUDA dnn layer #24080

### Pull Request Readiness Checklist

* Gelu activation layer on CUDA
* Try to relax GEMM from ONNX

resolves https://github.com/opencv/opencv/issues/24064

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-08-03 09:13:42 +03:00
cudawarped e4ad7e3778 VideoCapture: remove decoder initialization when CAP_PROP_FORMAT== -1 (rawMode == true) 2023-08-02 16:34:22 +03:00
Dmitry Kurtaev 0245c0cd10 Merge pull request #24072 from dkurt:openvino_cpu_tests
Remove legacy nGraph logic #24072

### Pull Request Readiness Checklist

TODO:
- [x] Test with OpenVINO 2021.4 (tested locally)

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-08-02 14:39:11 +03:00
Dmitry Kurtaev 195aad8e6a Merge pull request #24069 from dkurt:openvino_detection_layer
DetectionOutput layer on OpenVINO without limitations #24069

### Pull Request Readiness Checklist

required for https://github.com/opencv/opencv/pull/23987

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-08-02 14:28:47 +03:00
Anatoliy Talamanov f46f7eff0c Merge pull request #24059 from TolyaTalamanov:at/add-onnx-cuda-execution-provider
G-API: Support CUDA & TensoRT Execution Providers for ONNXRT Backend #24059

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-08-02 14:13:07 +03:00
Mihir Patil e1d0f07c90 highgui(cocoa): fix fullscreen behavior 2023-08-02 00:01:37 -04:00
Alexander Alekhin 0883c6a913 Merge pull request #24087 from mshabunin:fix-videoio-warnings 2023-08-01 13:22:39 +00:00
cudawarped bea0c1b660 cuda: Fix GpuMat::copyTo and GpuMat::converTo python bindings 2023-08-01 15:09:37 +03:00
Maksim Shabunin 9fc83ac544 videoio: fix V4L compilation for older kernels 2023-08-01 14:11:14 +03:00
Maksim Shabunin e0e537d94e videoio: fixed MSVC warning in test 2023-08-01 14:09:22 +03:00
cudawarped ab8cb6f8a9 cuda: fix for compatibility with CUDA Toolkit >= 12.2.0 2023-08-01 13:02:42 +03:00
Kumataro 68968eda8d videoio: doc: add odd width or height limitation for FFMPEG 2023-08-01 18:56:20 +09:00
Alexander Smorkalov 6791284994 Merge pull request #24083 from cudawarped:cuda_cmake_cmp0146
`cuda`: suppress CMP0146 warning
2023-08-01 10:37:35 +03:00
cudawarped 08d457edcf cuda: suppress CMP0146 Warning 2023-08-01 09:15:31 +03:00
Alexander Smorkalov 0323761ea6 Merge pull request #24035 from vrabaud:calibration
Fix stereoRectify image boundaries.
2023-07-27 19:36:33 +03:00
Vincent Rabaud 15815fb54d Fix stereoRectify image boundaries.
This should hav ebeen fixed with https://github.com/opencv/opencv/issues/23304
2023-07-27 17:47:26 +03:00
Dmitry Kurtaev 677a28fd2a Merge pull request #24056 from dkurt:eltwise_prelu
PReLU with element-wise scales #24056

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24051

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-27 16:36:40 +03:00
SaltFish-T ab6bffc6f8 Merge pull request #23936 from SaltFish-T:4.x
Update opencv dnn to support cann version >=6.3 #23936

1.modify the search path of "libopsproto.so" in OpenCVFindCANN.cmake
2.add the search path of "libgraph_base.so" in OpenCVFindCANN.cmake
3.automatic check Ascend socVersion,and test on Ascend310/Ascend310B/Ascend910B well
2023-07-27 14:21:30 +03:00
Alexander Smorkalov 5fc2564c92 Merge pull request #23986 from headshog:fix-numtrunc
Numeric truncation at `tif_dirread.c:4386`
2023-07-27 12:27:47 +03:00
Vadim Levin 0c5d74ec1a Merge pull request #24066 from VadimLevin:dev/vlevin/python-typing-register-dnn-layer
Python typing refinement for dnn_registerLayer/dnn_unregisterLayer functions #24066

This patch introduces typings generation for `dnn_registerLayer`/`dnn_unregisterLayer` manually defined in [`cv2/modules/dnn/misc/python/pyopencv_dnn.hpp`](https://github.com/opencv/opencv/blob/4.x/modules/dnn/misc/python/pyopencv_dnn.hpp)

Updates:

- Add `LayerProtocol` to `cv2/dnn/__init__.pyi`:

    ```python
    class LayerProtocol(Protocol):
        def __init__(
            self, params: dict[str, DictValue],
            blobs: typing.Sequence[cv2.typing.MatLike]
        ) -> None: ...

        def getMemoryShapes(
            self, inputs: typing.Sequence[typing.Sequence[int]]
        ) -> typing.Sequence[typing.Sequence[int]]: ...

        def forward(
            self, inputs: typing.Sequence[cv2.typing.MatLike]
        ) -> typing.Sequence[cv2.typing.MatLike]: ...
    ```

- Add `dnn_registerLayer` function to `cv2/__init__.pyi`:

    ```python
    def dnn_registerLayer(layerTypeName: str,
                          layerClass: typing.Type[LayerProtocol]) -> None: ...
    ```

- Add `dnn_unregisterLayer` function to `cv2/__init__.pyi`:

    ```python
    def dnn_unregisterLayer(layerTypeName: str) -> None: ...
    ```
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-27 11:28:00 +03:00
Alexander Smorkalov 5c090b9eec Merge pull request #24062 from VadimLevin:dev/vlevin/python-typing-redirect-error
feat: add typing stub for redirectError
2023-07-27 09:26:42 +03:00
Vadim Levin e59b8cd905 feat: add typing stub for redirectError
Python interface for `redirectError`:

```python
def redirectError(
    onError: Callable[[int, str, str, str, int], None] | None
) -> None: ...
```
2023-07-26 21:35:37 +03:00
Alexander Smorkalov 95b2820214 Merge pull request #24054 from mwangistan:4.x
[Build] popcnt is not supported on windows ARM
2023-07-26 20:53:17 +03:00
Alexander Smorkalov 91749a284b Merge pull request #24061 from VadimLevin:dev/vlevin/python-typing-highgui-refinement
feat: add highgui functions to typing stubs
2023-07-26 20:01:45 +03:00
Vincent Rabaud 94de7e5d21 Merge pull request #24042 from vrabaud:circle
Fix harmless ASAN error. #24042

For an empty radius, &v[0] would be accessed (though the called functions would not use it due to v.size() being 0). Also add checks for emptyness and fix the first element checks, in case we get INT_MAX to compare to.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-26 20:00:22 +03:00
Vadim Levin dad72fd47b feat: add highgui functions to typing stubs
Manually add typing stubs for functions defined in `cv2_highgui.hpp`:
- `createTrackbar`

    ```python
     def createTrackbar(trackbarName: str,
                   windowName: str,
                   value: int,
                   count: int,
                   onChange: Callable[[int], None]) -> None: ...
    ```

- `createButton`

    ```python
    def createButton(buttonName: str,
                     onChange: Callable[[tuple[int] | tuple[int, Any]], None],
                     userData: Any | None = ...,
                     buttonType: int = ...,
                     initialButtonState: int = ...) -> None: ...
    ```

- `setMouseCallback`

    ```python
    def setMouseCallback(
        windowName: str,
        onMouse: Callback[[int, int, int, int, Any | None], None],
        param: Any | None = ...
    ) -> None: ...
    ```
2023-07-26 16:34:43 +03:00
Anatoliy Talamanov a817813b50 Merge pull request #24045 from TolyaTalamanov:at/add-onnx-directml-execution-provider
G-API: Support DirectML Execution Provider for ONNXRT Backend #24045

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-07-26 16:00:20 +03:00
Alexander Smorkalov a25e809da1 Merge pull request #24046 from VadimLevin:dev/vlevin/add-cuda-gpu-mat-to-big-types
feat: add cuda_GpuMat to big types
2023-07-26 13:18:32 +03:00
Alexander Smorkalov 46841df978 Merge pull request #24055 from asmorkalov:as/msvc_cxx20_warning_disable
Disable waring C5054 in VS2022 c++20
2023-07-26 11:12:17 +03:00
Vadim Levin be29c99d5a feat: add cuda_GpuMat to big types
This patch enables passing GpuMat as an in/out argument in several functions.
2023-07-26 10:16:49 +03:00
Alexander Smorkalov b22c2505a8 Disable warning C5054 in VS 2022 C++20 2023-07-26 09:23:32 +03:00
Alexander Smorkalov e5e1a3bfde Merge pull request #24043 from zixianweei:use-vaddq_f32-on-arm64
fix compilation error on Windows ARM, use vaddq_f32 instead of +=
2023-07-25 11:41:09 +03:00
Stanley Mwangi a5ba18c20e popcnt is not a windows ARM intrinsic. 2023-07-25 11:21:13 +03:00
Alexander Smorkalov c9a4775d49 Merge pull request #24047 from ivashmak:remove_unused_4.x
Remove unused features in USAC in 4.x
2023-07-23 21:12:28 +03:00
Alexander Smorkalov 12acf5603a Merge pull request #24001 from legrosbuffle:legrosbuffle-cvround-intrinsic
Use intrinsics for `cvRound` on x86_64 `__GNUC__` (clang/gcc linux) too.
2023-07-23 09:53:18 +03:00
Ivashechkin, Maxim (PG/R - Comp Sci & Elec Eng) 0bcd66d553 remove unused 2023-07-22 10:44:37 +01:00
Alexander Smorkalov d69c1d8652 Merge pull request #24032 from vrabaud:ubsan
Fix undefined behavior with wrong function pointers called.
2023-07-21 17:16:12 +03:00
Alexander Smorkalov d4af868528 Merge pull request #24040 from asmorkalov:as/cuda_dnn_eps_fix
Increase eps for Test_Torch_nets.FastNeuralStyle_accuracy to prevent sporadic test failres with CUDA.
2023-07-21 16:46:34 +03:00
Vadim Levin 2fc7d21971 Merge pull request #24029 from VadimLevin:dev/vlevin/python-add-cuda-stream-to-simple-types
feat: add cuda_Stream and cuda_GpuMat to simple types mapping #24029

This patch fixes usage of `cuda::Stream` in function arguments.

Affected modules: `cudacodec`: 
[`using namespace cuda`](https://github.com/opencv/opencv_contrib/blob/9dfe233020f669f17021dfc456fe77531e776b74/modules/cudacodec/include/opencv2/cudacodec.hpp#L62)  in public `cudacodec.hpp` header can be removed after merge of the patch.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-21 14:57:32 +03:00
zixgo ec7689421d fix compilation error on Windows ARM, use vaddq_f32 instead of += 2023-07-21 19:54:43 +08:00
Alexander Smorkalov d96ff496b4 Increase eps for Test_Torch_nets.FastNeuralStyle_accuracy to prevent sporadic test failres with CUDA. 2023-07-21 13:51:03 +03:00
Vadim Levin e3cb5f80e7 Merge pull request #24028 from VadimLevin:dev/vlevin/fix-flann-python-bindings
Fix FLANN python bindings #24028

As a side-effect this patch improves reporting errors by FLANN `get_param`.

resolves #21642

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-21 12:44:56 +03:00
Alexander Smorkalov 09d2f4ea46 Merge pull request #23931 from asmorkalov:as/drawing_overflow
Fixed possible out-of-bound access in circles drawing
2023-07-21 12:28:14 +03:00
Anatoliy Talamanov 5261961a6e Merge pull request #24024 from TolyaTalamanov:at/add-onnx-openvino-execution-provider
G-API: Support OpenVINO Execution Provider for ONNXRT Backend #24024

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-07-21 12:18:06 +03:00
Clement Courbet 3cce299a78 Use intrinsics for cvRound on x86 and x86_64 __GNUC__ (clang/gcc linux) too.
We've measured a 7x improvement in speed for `cvRound` using the intrinsic.
2023-07-21 10:57:54 +03:00
Dmitry Kurtaev e41ba90f17 Merge pull request #24004 from dkurt:tflite_new_layers
[TFLite] Pack layer and other fixes for SSD from Keras #24004

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23992

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1076

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-21 09:13:37 +03:00
Vincent Rabaud 423ab8ddb8 Use void* 2023-07-20 15:53:57 +02:00
Vincent Rabaud 20784d3da2 Fix undefined behavior with wrong function pointers called.
Details here: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=58006
runtime error: call to function (unknown) through pointer to incorrect function type 'void (*)(const unsigned char **, const int *, unsigned char **, const int *, int, int)'
2023-07-20 15:32:05 +02:00
Vadim Levin 1794cdc03c Merge pull request #24023 from VadimLevin:dev/vlevin/python-typing-magic-constants
Python typing magic constants #24023

This patch adds typing stubs generation for `__all__` and `__version__` constants.

Introduced `__all__` is intentionally empty for all generated modules stubs. 

Type hints won't work for star imports

resolves #23950

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-20 09:18:29 +03:00
Alexander Smorkalov c792233d9c Merge pull request #24026 from VadimLevin:dev/vlevin/python-numpy-writeable-flag-check
fix: preserve NumPY writeable flag in output arguments
2023-07-19 19:17:30 +03:00
Vadim Levin 4c568e6ed3 fix: preserve NumPY writeable flag in output arguments 2023-07-19 17:22:10 +03:00
Vadim Levin 9519e67ad2 Merge pull request #24022 from VadimLevin:dev/vlevin/python-typing-cuda
Fix python typing stubs generation for CUDA modules #24022

resolves #23946
resolves #23945
resolves opencv/opencv-python#871

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-19 16:51:41 +03:00
Alexander Smorkalov b0cbd6ef77 Merge pull request #23999 from asmorkalov:as/opencv_logging
Use OpenCV logging instead of std::cerr
2023-07-19 14:46:27 +03:00
Alexander Smorkalov 23f27d8dbe Use OpenCV logging instead of std::cerr. 2023-07-19 10:49:54 +03:00
Alexander Smorkalov 0519e05432 Merge pull request #23991 from buyuer:4.x
Eliminating compilation warnings when using lto in gcc12 and later versions
2023-07-18 16:26:09 +03:00
Alexander Smorkalov 81f07f001e Merge pull request #24008 from iarspider:patch-1
test_houghlines: Fix C++20 compatibility
2023-07-18 15:37:43 +03:00
iarspider 55906457e6 test_houghlines: Fix C++20 compatibility
C++20 made it invalid to use simple-template-ids for constructors and destructors: https://eel.is/c++draft/diff.cpp17.class#2
GCC 11 and later throw an error on this, with the unhelpful message `expected unqualified-id before ')' token`. This PR fixes the problem.
2023-07-18 09:18:17 +02:00
Alexander Smorkalov 1f82550cc8 Merge pull request #24003 from cudawarped:cuda_fix_skip_test_exception
`cuda`: add SkipTestException handling
2023-07-18 09:49:20 +03:00
cudawarped e00c904585 cuda: add SkipTestException handling 2023-07-17 18:03:40 +03:00
Zihao Mu 1920993525 Merge pull request #23952 from zihaomu:fix_depth_conv_5x5
DNN: optimize the speed of general Depth-wise #23952

Try to solve the issue: https://github.com/opencv/opencv/issues/23941

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-07-14 17:34:39 +03:00
Alexander Smorkalov 1f7025f028 Merge pull request #23920 from loongson-zn:4.x
Fix LoongArch Macro Definition
2023-07-14 15:00:41 +03:00
不鱼儿 4ee0f212cc Eliminating compilation warnings when using lto in
gcc12 and later versions

use -flto=auto when use gcc12 or later

Signed-off-by: 不鱼儿 <36976072+buyuer@users.noreply.github.com>
2023-07-14 08:45:14 +00:00
firebladed 7819ec784b Merge pull request #18498 from firebladed:patch-1
Add V4L2_PIX_FMT_Y16_BE pixel format #18498

Address #18495
relates to #23944

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [ ] The PR is proposed to proper branch
- [x] There is reference to original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
- [ ] Test using Melexis MLX90640
2023-07-14 11:31:55 +03:00
Alexander Smorkalov 52d9685cb9 Fixed possible out-of-bound access in circles drawing. 2023-07-14 09:21:33 +03:00
Alexander Smorkalov 3aeaa34023 Merge pull request #23914 from AleksandrPanov:update_aruco_byteList_docs
update ArUco Dictionary documentation
2023-07-13 15:48:57 +03:00
Alex c12e1ecb86 update aruco bytesList docs 2023-07-13 13:50:07 +03:00
headshog 0fef0f2ae0 fix numtrunc at tiff_dirread.c 2023-07-13 13:21:21 +03:00
Alexander Smorkalov bd2695f01b Merge pull request #23966 from hanliutong:popcount
Add missing ”v_popcount“ for RVV and enable tests.
2023-07-13 12:22:46 +03:00
Alexander Smorkalov d60107ab7a Merge pull request #23968 from mshabunin:doc-env
doc: added environment vars reference
2023-07-12 15:56:27 +03:00
Vincent Rabaud fdfb875208 Merge pull request #23922 from vrabaud:imgwarp
Fix imgwarp at borders when transparent. #23922

I believe this is a proper fix to #23562

The PR #23754 overwrites data while that should not be the case with transparent data. The original test is failing because points at the border do not get computed because they do not have 4 neighbors to be computed. Still ,we can approximate their computation with whatever neighbors that are available.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-12 15:20:01 +03:00
Alexander Smorkalov 85f0074f23 Merge pull request #23973 from mshabunin:riscv-unaligned-access
RISC-V: fix unaligned loads and stores
2023-07-12 14:51:56 +03:00
Alexander Smorkalov 0f17851562 Merge pull request #23972 from Avasam:partially-unknown-mat
Prefer using `TYPE_CHECKING` condition in `cv2.typing` module
2023-07-12 14:51:08 +03:00
Alexander Smorkalov 53af876999 Merge pull request #23969 from asmorkalov:as/python2_test_fix
Fixed tests execution with Python 2.7
2023-07-11 20:53:01 +03:00
Alexander Smorkalov 9c4c3eadf7 Merge pull request #23971 from asmorkalov:as/ci-ubuntu-2204
Add Ubuntu 22.04 to CI
2023-07-11 20:51:13 +03:00
Maksim Shabunin 0f665b3f15 doc: added environment vars reference 2023-07-11 19:26:48 +03:00
Maksim Shabunin 3f0707234f risc-v: fix unaligned loads and stores 2023-07-11 19:23:12 +03:00
Avasam cd9f85dbda Update usages of ConditionalAliasTypeNode following #23838 to use TYPE_CHECKING 2023-07-11 12:22:27 -04:00
Alexander Smorkalov 99058ee30b Merge pull request #23956 from VadimLevin:dev/vlevin/recursive-re-export-submodules
fix: recursively re-export nested submodules in typing stubs
2023-07-11 18:45:27 +03:00
Alexander Smorkalov 7b4b7ceb7e Add Ubuntu 22.04 to CI. 2023-07-11 18:39:36 +03:00
Alexander Smorkalov 48c52c8bbb Fixed tests execution with Python 2.7 2023-07-11 18:24:08 +03:00
Alexander Smorkalov 40727c8369 Merge pull request #23970 from mshabunin:fix-v4l-test
videoio: fix v4l2 test on older platforms (centos)
2023-07-11 18:16:28 +03:00
Maksim Shabunin e3c1405254 videoio: fix v4l2 test on older platforms (centos) 2023-07-11 17:05:32 +03:00
Alexander Smorkalov 37aa823112 Merge pull request #23967 from YusukeKameda:4.x
doxygen: Fix ImwriteFlags documentation misalignment
2023-07-11 16:40:32 +03:00
Alexander Alekhin ef9d14f181 Merge pull request #23963 from opencv-pushbot:gitee/alalek/fixup_23842 2023-07-11 12:17:39 +00:00
Yusuke Kameda 87f8cdd699 doxygen: Fix ImwriteFlags documentation misalignment 2023-07-11 19:08:58 +09:00
Liutong HAN a00818047f Add missing ”v_popcount“ for RVV and enable tests. 2023-07-11 16:10:27 +08:00
Alexander Smorkalov 6af4a02941 Merge pull request #23958 from VadimLevin:dev/vlevin/friendly-wrong-npy-type-message
feat: update NumPy type to Mat type fail message
2023-07-11 10:42:41 +03:00
Alexander Smorkalov 6ff5245cf2 Merge pull request #23927 from Avasam:partially-unknown-mat
Fix partially unknown Mat
2023-07-11 10:32:48 +03:00
Vincent Rabaud 2af6775c14 Merge pull request #23943 from vrabaud:avif_tsan
Fix checkSignature not thread safe for AVIF. #23943

A common decoder cannot be shared with checkSignature which is used like a static function (on a static ist of decoders).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-07-11 10:25:53 +03:00
Alexander Alekhin f89b705049 cmake: don't export external target twice 2023-07-11 01:09:31 +00:00
Alexander Smorkalov bb61cc0dba Merge pull request #23954 from VadimLevin:dev/vlevin/matrix-type-constants-stubs
feat: add matrix type stubs generation
2023-07-10 18:48:01 +03:00
Vadim Levin 953de60ff0 feat: update NumPy type to Mat type fail message
Output string representation of NumPy array type if it is not
convertible to OpenCV Mat type
2023-07-10 18:09:15 +03:00
Vadim Levin 986e379f28 feat: add matrix type stubs generation
Adds missing typing stubs:

- Matrix depths: `CV_8U`, `CV_8S` and etc.
- Matrix type constants: `CV_8UC1`, `CV_32FC3` and etc.
- Matrix type factory functions: `CV_*(channels) -> int` and `CV_MAKETYPE`
2023-07-10 17:35:27 +03:00
Alexander Smorkalov de8e6abd1e Merge pull request #23955 from VadimLevin:dev/vlevin/overload-presence-check-fix
fix: typing stubs overload presence check
2023-07-10 15:37:59 +03:00
Vadim Levin a6df336477 fix: recursively re-export nested submodules 2023-07-10 14:39:59 +03:00
Vadim Levin 8097bdc2f4 fix: typing stubs overload presence check 2023-07-10 14:30:44 +03:00
Alexander Smorkalov fdc0c12b7f Merge pull request #23944 from mshabunin:test-v4l2
videoio: test for V4L using virtual device
2023-07-10 12:54:43 +03:00
Alexander Smorkalov 05becd56e5 Merge pull request #23938 from mshabunin/fix-warnings-gcc
Fix compiler warnings for GCC 11-12 and Clang 13
2023-07-10 12:41:37 +03:00
Alexander Smorkalov d2951d6d4c Merge pull request #23928 from Avasam:Add-missing-properties-to-error-class
Add missing properties to error class
2023-07-10 12:40:06 +03:00
Maksim Shabunin 09944a83d9 build: w/a compiler warnings for GCC 11-12 and Clang 13, reduce build output 2023-07-10 11:27:59 +03:00
Maksim Shabunin e43bc88fc3 videoio: test for V4L using virtual device 2023-07-07 17:33:33 +03:00
Alexander Smorkalov cb2e831da4 Merge pull request #23940 from mshabunin:fix-cap-images
videoio: fix CAP_IMAGES with non-numbered file
2023-07-07 11:12:38 +03:00
Alexander Smorkalov 601a159f25 Merge pull request #23881 from asmorkalov:as/fast_math_nan
Disable finite-math-only option with ENABLE_FAST_MATH=1 case to handle NaN and Inf checks correctly
2023-07-07 09:04:08 +03:00
Maksim Shabunin 8931f08362 videoio: fix CAP_IMAGES with non-numbered file 2023-07-06 22:26:53 +03:00
Alexander Smorkalov 2d92f42878 Disable finite-math-only option with ENABLE_FAST_MATH=1 case to handle NaN and Inf checks correctly. 2023-07-06 15:41:04 +03:00
Zhang Na 10294a84fa Fix LoongArch Macro Definition 2023-07-05 17:42:39 +08:00
Alexander Smorkalov b8e3bc9dd8 Merge pull request #23924 from ocpalo:patch-2
removed trailing semicolon after function
2023-07-05 09:38:29 +03:00
Avasam 32251c9b04 Add missing properties to error class 2023-07-04 17:57:30 -04:00
Avasam 9f87475129 Fix partially unknown Mat 2023-07-04 16:44:32 -04:00
Berke 71796edf95 removed trailing semicolon after function
It gives error when building projects with -Wpedantic -Werror

error: extra ‘;’ [-Werror=pedantic]

Issue ##23916
2023-07-04 21:18:30 +03:00
Alexander Smorkalov 8839bd572e Merge pull request #23815 from LaurentBerger:CAP_IMAGES
Add single image support to VideoCapture
2023-07-04 16:31:29 +03:00
Alexander Smorkalov c9d8b541fc Merge pull request #23896 from mshabunin:test-cap-images
videoio: tests for CAP_IMAGES
2023-07-04 16:30:53 +03:00
Alexander Smorkalov 356e5d3028 Merge pull request #23918 from kallaballa:custom_package_name
use CPACK_PACKAGE_VERSION instead of OPENCV_VCSVERSION for CPACK_PACKAGE_FILE_NAME
2023-07-04 14:06:32 +03:00
kallaballa a58214f015 use CPACK_PACKAGE_VERSION instead of OPENCV_VCSVERSION for CPACK_PACKAGE_FILE_NAME so that OPENCV_CUSTOM_PACKAGE_INFO actually has full effect 2023-07-04 07:41:16 +00:00
Alexander Alekhin 67faf1610e Merge pull request #23885 from hanliutong:UniversalIntrinsicRewriter 2023-07-03 14:56:30 +00:00
Alexander Smorkalov 377be68d92 Merge pull request #23892 from vrabaud:compile_fix
Fix compilation when HAVE_QUIRC is not set.
2023-07-03 13:16:49 +03:00
Alexander Smorkalov aea44efaa6 Merge pull request #23909 from asmorkalov:as/exclude_3.4
Update PRs & Issue templates to exclude 3.4 from active development
2023-07-03 12:27:11 +03:00
Wang Kai 0661aff4a5 Merge pull request #23900 from kai-waang:fixing-typo
Fixing typos in usac #23900

Just read and correct some typos in `usac`
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-07-03 12:08:12 +03:00
Vincent Rabaud e9414169a3 Fix compilation when HAVE_QUIRC is not set.
One variable is unknown while the other one is unused.
Fixed build warnings.
2023-07-03 11:35:05 +03:00
Alexander Smorkalov 64be9c8bf6 Merge pull request #23901 from kai-waang:remove-duplicated
removing duplicated statement
2023-07-03 11:26:36 +03:00
Alexander Smorkalov 50fc68b981 Update PRs & Issue templates to exclude 3.4 from active development. 2023-07-03 11:00:30 +03:00
Maksim Shabunin 1d9c0d3e12 videoio: tests for CAP_IMAGES 2023-07-03 10:33:16 +03:00
Wang Kai d25d44156b removing unreachable codes in gbackend 2023-07-02 15:33:52 +08:00
Wang Kai bca5868817 removing duplicated statement 2023-07-01 13:29:02 +08:00
Alexander Smorkalov 7f6c95f2d7 Switch to version 3.4.20-dev 2023-06-28 18:40:55 +03:00
Alexander Smorkalov 131dab774c Merge branch 'release_4.8.0' into 4.x 2023-06-28 15:22:43 +03:00
Alexander Smorkalov f9a59f2592 Release OpenCV 4.8.0 2023-06-28 14:53:33 +03:00
Anatoliy Talamanov b8b8c7c9e5 Merge pull request #23884 from TolyaTalamanov:at/fix-async-infer-ov-backend
G-API: Fix async inference for OpenVINO backend #23884

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-28 14:52:15 +03:00
Liutong HAN d17507052e Rewrite SIMD code by using new Universal Intrinsic API. 2023-06-28 17:12:37 +08:00
Alexander Smorkalov 49ee4d4ade Merge pull request #23879 from asmorkalov/release_3.4.20
Release OpenCV 3.4.20
2023-06-27 15:59:24 +03:00
Alexander Smorkalov 1eb1d4c370 Release OpenCV 3.4.20 2023-06-27 14:29:13 +03:00
Alexander Smorkalov c982be3924 Merge pull request #23863 from asmorkalov:as/calibrate_py_rework
Reworked calibrate.py
2023-06-25 12:10:10 +03:00
Alexander Smorkalov 85ea247cc6 Reworked calibrate.py
- Fixed width and height swap in board size
- Fixed defaults in command line hint
- Fixed board visualization for Charuco case
- Used matchImagePoints method to handle partially detected Charuco boards
2023-06-23 22:19:08 +03:00
Alexander Smorkalov bf06bc92aa Merge branch '3.4' into merge-3.4 2023-06-23 20:12:58 +03:00
Yuantao Feng aff420329c Merge pull request #23853 from fengyuentau:disable_fp16_warning
dnn: disable warning when loading a fp16 model #23853

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-23 19:52:04 +03:00
Alexander Smorkalov 21d79abb1f Merge pull request #23859 from TolyaTalamanov:at/ov-backend-core-wa
G-API: Apply ov::Core lifetime WA for OpenVINO Backend
2023-06-23 19:49:06 +03:00
Alexander Smorkalov d9a5603fa3 Merge pull request #23860 from fengyuentau:fix_overflow_sigmoid_v3.4
dnn: fix overflow in sigmoid layer for 3.4
2023-06-23 19:47:42 +03:00
Alexander Smorkalov ee97dd5211 Merge pull request #23806 from asmorkalov:as/usac_drop_mat_ptr
Get rid of unsafe raw pointers to Mat object in USAC
2023-06-23 16:23:03 +03:00
fengyuentau 29388f80a5 fix overflow 2023-06-23 21:22:21 +08:00
Alexander Panov e7501b69ea Merge pull request #23647 from AleksandrPanov:fix_charuco_board_detect
Add charuco board check #23647

Added charuco board checking to avoid detection of incorrect board.
Fixes #23517

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-23 16:16:22 +03:00
TolyaTalamanov c0fda696f3 Apply ov::Core WA 2023-06-23 12:16:21 +00:00
Alexander Smorkalov d4f81c6d24 Merge pull request #23855 from thekpaul:3.4_patched
Add `pthread.h` Inclusion if `HAVE_PTHREADS_PF` is defined
2023-06-23 13:07:45 +03:00
Paul Kim (김형준) 3b264d5877 Add pthread.h Inclusion if HAVE_PTHREADS_PF is defined
Single-case tested with success on Windows 11 with MinGW-w64 Standalone GCC v13.1.0 while building OpenCV 4.7.0
2023-06-23 17:53:03 +09:00
Alexander Smorkalov 0866a135c6 Git rid of unsafe raw pointers to Mat object. 2023-06-23 09:20:24 +03:00
Alexander Smorkalov 2849a774e3 Merge pull request #23846 from asmorkalov:as/ffmpeg_update_4.x
FFmpeg/4.x: update FFmpeg wrapper 2023.6
2023-06-22 21:00:06 +03:00
Alexander Panov affc69bf1f Merge pull request #23848 from AleksandrPanov:fix_detectDiamonds_api
Fix detect diamonds api #23848

`detectDiamonds` cannot be called from python, reproducer:

```
import numpy as np
import cv2 as cv

detector = cv.aruco.CharucoDetector(
    cv.aruco.CharucoBoard(
        (3, 3), 200.0, 100.0,
        cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_250)
    )
)
image = np.zeros((640, 480, 1), dtype=np.uint8)
res = detector.detectDiamonds(image)
print(res)
```

The error in `detectDiamonds` API fixed by replacing `InputOutputArrayOfArrays markerIds` with `InputOutputArray markerIds`.


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-22 17:30:44 +03:00
Dmitry Kurtaev 22b747eae2 Merge pull request #23702 from dkurt:py_rotated_rect
Python binding for RotatedRect #23702

### Pull Request Readiness Checklist

related: https://github.com/opencv/opencv/issues/23546#issuecomment-1562894602

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-22 15:09:53 +03:00
Alexander Smorkalov 426b088754 FFmpeg/4.x: update FFmpeg wrapper 2023.6 2023-06-22 13:58:58 +03:00
Anatoliy Talamanov 60848519b5 Merge pull request #23843 from TolyaTalamanov:at/fix-missing-opaque-kind-for-kernel
G-API: Fix incorrect OpaqueKind for Kernel outputs #23843

### Pull Request Readiness Checklist

#### Overview
The PR is going to fix several problems:
1. Major: `GKernel` doesn't hold `kind` for its outputs. Since `GModelBuilder` traverse graph from outputs to inputs once it reaches any output of the operation it will use its `kind` to create  `Data` meta for all operation outputs. Since it essential for `python` to know `GTypeInfo` (which is `shape` and `kind`) it will be confused.

Consider this operation:
```
 @cv.gapi.op('custom.square_mean', in_types=[cv.GArray.Int], out_types=[cv.GOpaque.Float, cv.GArray.Int])
    class GSquareMean:
        @staticmethod
        def outMeta(desc):
            return cv.empty_gopaque_desc(), cv.empty_array_desc()
```
Even though `GOpaque` is `Float`, corresponding metadata might have `Int` kind because it might be taken from `cv.GArray.Int`
so it will be a problem if one of the outputs of these operation is graph output because python will cast it to the wrong type based on `Data` meta.

2. Minor: Some of the OpenVINO `IR`'s doesn't any layout information for input. It's usually true only for `IRv10` but since `OpenVINO 2.0` need this information to correctly configure resize we need to put default layout if there no such assigned in `ov::Model`. 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-22 12:46:25 +03:00
Alexander Smorkalov 61d48dd0f8 Merge pull request #23540 from cudawarped:add_CAP_PROP_CODEC_FOURCC
`VideoCapture`: change `CAP_PROP_FOURCC` to fix #22876
2023-06-22 12:21:59 +03:00
Alexander Smorkalov eba8450995 Merge pull request #23842 from opencv-pushbot:gitee/alalek/fix_static_build_with_gapi_openvino
G-API: fix static build with OpenVINO
2023-06-21 22:42:28 +03:00
Alexander Alekhin 1656e7573e gapi: fix static build with openvino 2023-06-21 14:17:44 +00:00
Alexander Smorkalov b7947d861c Merge pull request #23841 from asmorkalov:as/ffmpeg_update_3.4
FFmpeg/3.4: update FFmpeg wrapper 2023.6
2023-06-21 16:09:54 +03:00
Yuantao Feng 1db1422fbd Merge pull request #23829 from fengyuentau:fixes4orbbec
Fix broken links and outdated information for documentation of Orbbec camera #23829

Resolves the documentation issue from https://github.com/opencv/opencv/issues/23579.

Orbbec is moving to support UVC directly so they do not provide the old `install.sh` for OpenNI SDK >= 2.3.0.86. Also in their new release of OpenNI SDK, paths of include headers and libraries are changed. Changing our cmake script for this change does not make sense since we cannot make this kind of change everytime they update. So just added a subsection providing `install.sh` for users as a workaround on our side.

@Lecrapouille You may also take a look at this pull request.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-21 13:11:39 +03:00
Alexander Smorkalov fc810434de Merge pull request #23801 from VadimLevin:dev/vlevin/python-stubs-api-refinement
feat: manual refinement for Python API definition
2023-06-21 10:44:36 +03:00
Alexander Smorkalov fe93724d3f FFmpeg wrapper update to FFmpeg version 3.4.13. 2023-06-21 09:22:26 +03:00
Alexander Smorkalov 65b957a5b3 Merge pull request #23832 from asmorkalov:as/reshape_docs
Document parameters of multi-dimentional reshape
2023-06-21 09:04:17 +03:00
Alexander Smorkalov 9eaa7bd566 Document parameters of multi-dimentional reshape. 2023-06-20 21:54:49 +03:00
Alexander Smorkalov 94211fb8b0 Merge pull request #23838 from VadimLevin:dev/vlevin/numpy-array-typing
fix: conditionally define generic NumPy NDArray alias
2023-06-20 21:16:50 +03:00
Vadim Levin f20edba925 fix: conditionally define generic NumPy NDArray alias 2023-06-20 20:05:58 +03:00
Alexander Smorkalov fe4f5b539e Merge pull request #23835 from VadimLevin:dev/vlevin/fix-ast-nodes-required-usage-imports
fix: AST nodes required usage imports
2023-06-20 18:34:07 +03:00
Alexander Smorkalov 4e31bc5cf5 Merge pull request #23833 from asmorkalov:update_version_4.8.0-pre
pre: OpenCV 4.8.0 (version++)
2023-06-20 17:23:00 +03:00
Vadim Levin 06b40aef91 fix: AST nodes required usage imports 2023-06-20 16:31:55 +03:00
Alexander Smorkalov c97c22b7cf Merge pull request #23831 from asmorkalov:update_version_3.4.20-pre
pre: OpenCV 3.4.20 (version++)
2023-06-20 16:25:55 +03:00
Alexander Smorkalov 51702ffd92 pre: OpenCV 4.8.0 (version++) 2023-06-20 15:52:57 +03:00
Alexander Smorkalov 805946baaf pre: OpenCV 3.4.20 (version++) 2023-06-20 14:10:08 +03:00
Alexander Smorkalov 726ba0210e Merge pull request #23825 from ulvido:4.x
if browser supports wasm but only asm.js path provided use asm.js as fallback
2023-06-20 13:35:18 +03:00
Anatoliy Talamanov 71790e12ad Merge pull request #23799 from TolyaTalamanov:at/ov20-backend-implement-missing-kernels
G-API: Implement InferROI, InferList, InferList2 for OpenVINO backend #23799

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-20 13:29:23 +03:00
Anatoliy Talamanov 0cf45b89ec Merge pull request #23796 from TolyaTalamanov:at/align-ie-backend-with-latest-openvino
G-API: Align IE Backend with the latest OpenVINO version #23796

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-20 12:33:08 +03:00
Alexander Smorkalov 004801f1c5 Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-06-20 09:56:57 +03:00
lamm45 ddcbd2cc26 Merge pull request #22798 from lamm45:distransform-large
Fix distransform to work with large images #22798

This attempts to fix the following bug which was caused by storing squares of large integers into 32-bit floating point variables:
https://github.com/opencv/opencv/issues/22732


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-19 15:11:01 +03:00
Ulvi YELEN d6d15c136a if browser supports wasm but only asm.js path provided use asm.js as fallback 2023-06-17 09:38:57 +03:00
Alexander Smorkalov f2f00259da Merge pull request #23821 from asmorkalov:as/python_types_extra_imports
Force mat_wrapper import to satisfy dependencies for MatLike alias
2023-06-16 22:27:47 +03:00
Alexander Smorkalov a4a739b99e Force mat_wrapper import to satisfy dependencies for MatLike alias. 2023-06-16 21:51:17 +03:00
Alexander Smorkalov c0d4e16833 Merge pull request #23819 from asmorkalov:as/objdetect_no_dnn
Fixed barcode to be built without DNN
2023-06-16 20:03:45 +03:00
Vadim Levin 94703fc5b0 Merge pull request #23816 from VadimLevin:dev/vlevin/export-all-caps-enum-constants
Export enums ALL_CAPS version to typing stub files #23816

- Export ALL_CAPS versions alongside from normal names for enum constants, since both versions are available in runtime
- Change enum names entries comments to documentary strings

Before patch
```python
RMat_Access_R: int
RMat_Access_W: int
RMat_Access = int  # One of [R, W]
```
After patch
```python
RMat_Access_R: int
RMAT_ACCESS_R: int
RMat_Access_W: int
RMAT_ACCESS_W: int
RMat_Access = int
"""One of [RMat_Access_R, RMAT_ACCESS_R, RMat_Access_W, RMAT_ACCESS_W]"""
```

Resolves: #23776

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-16 20:03:19 +03:00
Alexander Smorkalov 496474392e Merge pull request #23809 from VadimLevin:dev/vlevin/re-export-stubs-submodules
feat: re-export symbols to cv2 level
2023-06-16 20:01:24 +03:00
Dmitry Kurtaev 433c364456 Merge pull request #23724 from dkurt:java_without_ant
Build Java without ANT #23724

### Pull Request Readiness Checklist

Enables a path of building Java bindings without ANT

* Able to build OpenCV JAR and Docs without ANT
  ```
  --   Java:
  --     ant:                         NO
  --     JNI:                         /usr/lib/jvm/default-java/include /usr/lib/jvm/default-java/include/linux /usr/lib/jvm/default-java/include
  --     Java wrappers:               YES
  --     Java tests:                  NO
  ```
* Possible to build OpenCV JAR without ANT but tests still require ANT

**Merge with**: https://github.com/opencv/opencv_contrib/pull/3502

Notes:
- Use `OPENCV_JAVA_IGNORE_ANT=1` to force "Java" flow for building Java bindings
- Java tests still require Apache ANT
- JAR doesn't include `.java` source code files.


See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-16 19:58:20 +03:00
Dmitry Kurtaev ec95efca10 Merge pull request #23754 from dkurt:remap_linear_transparent
Keep inliers for linear remap with BORDER_TRANSPARENT #23754

Address https://github.com/opencv/opencv/issues/23562

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23562

I do think that this is a bug because with `INTER_CUBIC + BORDER_TRANSPARENT` the last column and row are preserved. So same should be done for `INTER_LINEAR`

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-16 18:30:21 +03:00
Alexander Smorkalov 003d048b0d Merge pull request #23813 from VadimLevin:dev/vlevin/runtime-typing-module
fix: typing module enums references
2023-06-16 18:20:44 +03:00
Alexander Smorkalov b6d1402361 Fixed barcode to be built without DNN 2023-06-16 15:12:49 +03:00
Alexander Smorkalov 67fd2d02ef Merge pull request #23812 from dizcza:tbb
[opencv 3.x] back-ported tbb support ubuntu 22.04
2023-06-16 13:08:24 +03:00
unknown 1eaa074a49 remove line 2023-06-16 11:28:11 +02:00
cudawarped 024c836462 cv::VideoCapture: change CAP_PROP_FOURCC to prefer codec_id over codec_tag 2023-06-16 11:56:44 +03:00
Maksym Ivashechkin 44881592c3 Merge pull request #23078 from ivashmak:update_vsac
Update USAC #23078

### Pull Request Readiness Checklist

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-16 10:59:13 +03:00
Alexander Smorkalov 3c0b71bcec Merge pull request #23795 from dkurt:tf_half_pixel_for_nn
Consider half pixel mode in ONNX resize
2023-06-16 10:21:20 +03:00
Alexander Smorkalov a9d547dfee Merge pull request #23807 from mshabunin:barcode-test
objdetect: updated barcode test
2023-06-16 10:10:27 +03:00
Vadim Levin 69ebecc54f feat: add OpenCV error class to cv2/__init__.pyi 2023-06-15 23:10:10 +03:00
unknown 8762c37c22 solve issue 23808 2023-06-15 21:29:18 +02:00
Vadim Levin a3b6a5b606 fix: typing module enums references
Enum names exist only during type checking.
During runtime they should be denoted as named integral types
2023-06-15 21:29:40 +03:00
dizcza e625b32841 [opencv 3.x] back-ported tbb support ubuntu 22.04 2023-06-15 19:30:40 +03:00
Dmitry Kurtaev 924c01dbec Replace CV_Assert_N 2023-06-15 17:30:33 +03:00
Alexander Smorkalov 0d7c039ea1 Merge pull request #23797 from asmorkalov:as/barcode_js_bindings
Barcode js bindings
2023-06-15 17:29:20 +03:00
Alexander Smorkalov 291689a178 Merge pull request #23800 from kai-waang:4.x
removing unreachable code and fixing a typo
2023-06-15 17:28:33 +03:00
Vadim Levin 1acbeb217b feat: re-export symbols to cv2 level
- Re-export native submodules of cv2 package level.
- Re-export  manually registered  symbols like cv2.mat_wrapper.Mat
2023-06-15 16:32:48 +03:00
Maksim Shabunin 2b3424b536 objdetect: updated barcode test 2023-06-15 15:32:19 +03:00
Alexander Smorkalov 538b13aeec JS bindings for bar code detector. 2023-06-15 15:01:01 +03:00
Alexander Smorkalov 0dde3b65d5 Merge pull request #23798 from VadimLevin:dev/vlevin/runtime-typing-module
feat: provide cv2.typing aliases at runtime
2023-06-15 14:41:13 +03:00
Maksim Shabunin 463cd09811 Merge pull request #23666 from mshabunin:barcode-move
Moved barcode from opencv_contrib #23666

Merge with https://github.com/opencv/opencv_contrib/pull/3497

##### TODO
- [x] Documentation (bib)
- [x] Tutorial (references)
- [x] Sample app (refactored)
- [x] Java (test passes)
- [x] Python (test passes)
- [x] Build without DNN
2023-06-14 22:21:38 +03:00
Vadim Levin 5859a531e5 feat: manual refinement for Python API definition
Mark `resize` and `calcHist` arguments as optional regardless of
their C++ API optionality
2023-06-14 21:24:05 +03:00
Vadim Levin 8e8638431d feat: provide cv2.typing aliases at runtime 2023-06-14 20:09:32 +03:00
Wang Kai fc2d933224 removing unreachable code and fixing a typo 2023-06-15 01:09:02 +08:00
Alexander Smorkalov 52f46589a0 Merge pull request #23790 from asmorkalov:as/qrcode_aruco_js
JS bindings for Aruco-based QR code detector
2023-06-14 17:05:09 +03:00
Dmitry Kurtaev 6909fffde1 Consider half pixel mode in ONNX resize 2023-06-14 14:21:28 +03:00
Damiano Falcioni 19f4f2eb92 Merge pull request #23785 from damianofalcioni:4.x
added Aruco MIP dictionaries #23785

added Aruco MIP dictionaries: DICT_ARUCO_MIP_16h3, DICT_ARUCO_MIP_25h7, DICT_ARUCO_MIP_36h12 from [Aruco.js](https://github.com/damianofalcioni/js-aruco2), converted in opencv format using https://github.com/damianofalcioni/js-aruco2/blob/master/src/dictionaries/utils/dic2opencv.js

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-14 13:29:30 +03:00
Anatoliy Talamanov b854d4ecd8 Merge pull request #23786 from TolyaTalamanov:at/expose-preprocessing-to-ie-backend
G-API: Expose explicit preprocessing for IE Backend #23786

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-14 09:29:49 +03:00
Alexander Smorkalov b522148bd9 Merge pull request #23788 from dkurt:py_scalar_assign
Change Scalar assignment in Python from single value
2023-06-13 18:12:00 +03:00
Alexander Smorkalov 170cc0360b Merge pull request #23789 from asmorkalov:as/python_aruco_qr
Added Aruco-based QR code detection method to python sample
2023-06-13 18:07:53 +03:00
Anatoliy Talamanov a371bdac9d Merge pull request #23766 from TolyaTalamanov:at/segmentation-demo-desync
G-API: Refine Semantic Segmentation Demo #23766

### Overview
* Supported demo working with camera id (e.g `--input=0`)
* Supported 3d output segmentation models (e.g `deeplabv3`)
* Supported `desync` execution
* Supported higher camera resolution
* Changed the color map to pascal voc (https://cloud.githubusercontent.com/assets/4503207/17803328/1006ca80-65f6-11e6-9ff6-36b7ef5b9ac6.png)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-13 18:06:19 +03:00
Alexander Smorkalov 3af6001a75 JS bindings for Aruco-based QR code detector. 2023-06-13 17:20:52 +03:00
Alexander Smorkalov 134d0b74d3 Merge pull request #23769 from asmorkalov:as/qrcode_js_fix
JS bingings fix after Aruco-based QR code detector integration
2023-06-13 16:41:47 +03:00
Alexander Smorkalov 3f4ec3596e Added Aruco-based QR code detection method to python sample. 2023-06-13 15:38:26 +03:00
Alexander Smorkalov 843daca26e JS bingings fix for QR code detector. 2023-06-13 15:36:29 +03:00
Dmitry Kurtaev f9d7f47e28 Change Scalar assignment in Python from single value 2023-06-13 10:45:03 +03:00
Alexander Smorkalov e60a7c0d49 Merge pull request #23775 from kai-waang:fixing-typo
fixing typo of a variable name in dnn::runFastConv
2023-06-12 17:50:12 +03:00
Alexander Smorkalov e9c18c76c7 Merge pull request #23783 from zihaomu/remove_unsupported_character
remove unsupported unsupported unicode “”
2023-06-12 17:49:36 +03:00
zihaomu 37459f89c9 remove unsupported unsupported unicode 2023-06-11 23:02:34 +08:00
Wang Kai 4622f1e89b fixing typo of a variable name in dnn::runFastConv 2023-06-11 01:54:03 +08:00
Alexander Smorkalov dc37883702 Merge pull request #23768 from opencv-pushbot:gitee/alalek/issue_23156
build(ios): disable workaround for CMake 3.25.1+
2023-06-10 09:23:26 +03:00
Alexander Smorkalov 6ca697bc12 Merge pull request #23725 from asmorkalov:as/aruco_js_refresh
Refreshed JavaScript bindings for Aruco related algorithms
2023-06-10 09:21:24 +03:00
Sean McBride 57da72d444 Fixed invalid cast and unaligned memory access
Although acceptible to Intel CPUs, it's still undefined behaviour according to the C++ standard.

It can be replaced with memcpy, which makes the code simpler, and it generates the same assembly code with gcc and clang with -O2 (verified with godbolt).

Also expanded the test to include other little endian CPUs by testing for __LITTLE_ENDIAN__.
2023-06-09 18:56:49 -04:00
Alexander Smorkalov fe14e7ab24 Merge pull request #23758 from AleksandrPanov:add_GenericGraphicalCode_interface
Add graphical code detector interface
2023-06-09 15:46:32 +03:00
Alexander Smorkalov 61488885b5 Refreshed JavaScript bindings for Aruco related algorithms. 2023-06-09 15:43:43 +03:00
Vincent Rabaud 472aad46a6 Merge pull request #23596 from vrabaud:libavif
Add AVIF support through libavif. #23596

This is to fix https://github.com/opencv/opencv/issues/19271
Extra: https://github.com/opencv/opencv_extra/pull/1069

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-09 15:39:10 +03:00
Alexander Smorkalov 0c8e6e0e68 Merge pull request #23740 from Peekabooc:4.x
fixing typo in stitching parameter names
2023-06-09 13:40:02 +03:00
Pierre Chatelier 60b806f9b8 Merge pull request #22947 from chacha21:hasNonZero
Added cv::hasNonZero() #22947 

`cv::hasNonZero()` is semantically equivalent to (`cv::countNonZero()>0`) but stops parsing the image when a non-zero value is found, for a performance gain

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

This pull request might be refused, but I submit it to know if further work is needed or if I just stop working on it.
The idea is only a performance gain vs `countNonZero()>0` at the cost of more code.

Reasons why it might be refused :

- this is just more code
- the execution time is "unfair"/"unpredictable" since it depends on the position of the first non-zero value
- the user must be aware that default search is from first row/col to last row/col and has no way to customize that, even if his use case lets him know where a non zero could be found
- the PR in its current state is using, for the ocl implementation, a mere `countNonZero()>0` ; there is not much sense in trying to break early the ocl kernel call when non-zero is encountered. So the ocl implementation does not bring any improvement.
- there is no IPP function that can help (`countNonZero()` is based in `ippCountInRange`)
- the PR in its current state might be slower than a call to `countNonZero()>0` in some cases (see "challenges" below)

Reasons why it might be accepted :

- the performance gain is huge on average, if we consider that "on average" means "non zero in the middle of the image"
- the "missing" IPP implementation is replaced by an "Open-CV universal intrinsics" implementation
- the PR in its current state is almost always faster than a call to `countNonZero()>0`, is only slightly slower in the worst cases, and not even for all matrices

**Challenges**
The worst case is either an all-zero matrix, or a non-zero at the very last position.  In such a case, the `hasNonZero()` implementation will parse the whole matrix like `countNonZero()` would do. But we expect the performance to be the same in this case. And `ippCountInRange` is hard to beat !
There is also the case of very small matrices (<=32x32...) in 8b, where the SIMD can be hard to feed.

For all cases but the worse, my custom `hasNonZero()` performs better than `ippCountInRange()`
For the worst case, my custom `hasNonZero()` performs better than `ippCountInRange()` *except for large matrices of type CV_32S or CV_64F* (but surprisingly, not CV_32F).
The difference is small, but it exists (and I don't understand why).
For very small CV_8U matrices `ippCountInRange()` seems unbeatable.

Here is the code that I use to check timings

```

  //test cv::hasNonZero() vs (cv::countNonZero()>0) for different matrices sizes, types, strides...
  {
    cv::setRNGSeed(1234);
    const std::vector<cv::Size> sizes = {{32, 32}, {64, 64}, {128, 128}, {320, 240}, {512, 512}, {640, 480}, {1024, 768}, {2048, 2048}, {1031, 1000}};
    const std::vector<int> types = {CV_8U, CV_16U, CV_32S, CV_32F, CV_64F};
    const size_t iterations = 1000;
    for(const cv::Size& size : sizes)
    {
      for(const int type : types)
      {
        for(int c = 0 ; c<2 ; ++c)
        {
          const bool continuous = !c;
          for(int i = 0 ; i<4 ; ++i)
          {
            cv::Mat m = continuous ? cv::Mat::zeros(size, type) : cv::Mat(cv::Mat::zeros(cv::Size(2*size.width, size.height), type), cv::Rect(cv::Point(0, 0), size));
            const bool nz = (i <= 2);
            const unsigned int nzOffsetRange = 10;
            const unsigned int nzOffset = cv::randu<unsigned int>()%nzOffsetRange;
            const cv::Point pos = 
              (i == 0) ? cv::Point(nzOffset, 0) :
              (i == 1) ? cv::Point(size.width/2-nzOffsetRange/2+nzOffset, size.height/2) :
              (i == 2) ? cv::Point(size.width-1-nzOffset, size.height-1) :
              cv::Point(0, 0);
            std::cout << "============================================================" << std::endl;
            std::cout << "size:" << size << "  type:" << type << "  continuous = " << (continuous ? "true" : "false") << "  iterations:" << iterations << "  nz=" << (nz ? "true" : "false");
            std::cout << "  pos=" << ((i == 0) ? "begin" : (i == 1) ? "middle" : (i == 2) ? "end" : "none");
            std::cout << std::endl;
            cv::Mat mask = cv::Mat::zeros(size, CV_8UC1);
            mask.at<unsigned char>(pos) = 0xFF;
            m.setTo(cv::Scalar::all(0));
            m.setTo(cv::Scalar::all(nz ? 1 : 0), mask);
            std::vector<bool> results;
            std::vector<double> timings;

            {
              bool res = false;
              auto ref = cv::getTickCount();
              for(size_t k = 0 ; k<iterations ; ++k)
                res = cv::hasNonZero(m);
              auto now = cv::getTickCount();
              const bool error = (res != nz);
              if (error)
                printf("!!ERROR!!\r\n");
              results.push_back(res);
              timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
            }
            {
              bool res = false;
              auto ref = cv::getTickCount();
              for(size_t k = 0 ; k<iterations ; ++k)
                res = (cv::countNonZero(m)>0);
              auto now = cv::getTickCount();
              const bool error = (res != nz);
              if (error)
                printf("!!ERROR!!\r\n");
              results.push_back(res);
              timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
            }

            const size_t bestTimingIndex = (std::min_element(timings.begin(), timings.end())-timings.begin());
            if ((bestTimingIndex != 0) || (std::find_if_not(results.begin(), results.end(), [&](bool r) {return (r == nz);}) != results.end()))
            {
              std::cout << "cv::hasNonZero\t\t=>" << results[0] << ((results[0] != nz) ? "  ERROR" : "") << "   perf:" << timings[0] << "ms => " << (iterations/timings[0]*1000) << " im/s" << ((bestTimingIndex == 0) ? " * " : "") << std::endl;
              std::cout << "cv::countNonZero\t=>" << results[1] << ((results[1] != nz) ? "  ERROR" : "") << "   perf:" << timings[1] << "ms => " << (iterations/timings[1]*1000) << " im/s" << ((bestTimingIndex == 1) ? " * " : "") << std::endl;
            }
          }
        }
      }
    }
  }

```

Here is a report of this benchmark (it only reports timings when `cv::countNonZero()` is faster)
My CPU is an Intel Core I7 4790 @ 3.60Ghz

```

============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
cv::hasNonZero          =>1   perf:0.353764ms => 2.82674e+06 im/s
cv::countNonZero        =>1   perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:0.610478ms => 1.63806e+06 im/s
cv::countNonZero        =>1   perf:0.283182ms => 3.5313e+06 im/s *
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:0.630115ms => 1.58701e+06 im/s
cv::countNonZero        =>0   perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:0.607347ms => 1.64651e+06 im/s
cv::countNonZero        =>1   perf:0.467037ms => 2.14116e+06 im/s *
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:0.618162ms => 1.6177e+06 im/s
cv::countNonZero        =>0   perf:0.468175ms => 2.13595e+06 im/s *
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:895.381ms => 1116.84 im/s
cv::countNonZero        =>1   perf:882.569ms => 1133.06 im/s *
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:899.53ms => 1111.69 im/s
cv::countNonZero        =>0   perf:870.894ms => 1148.24 im/s *
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:2018.92ms => 495.313 im/s
cv::countNonZero        =>1   perf:1966.37ms => 508.552 im/s *
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:2005.87ms => 498.537 im/s
cv::countNonZero        =>0   perf:1992.78ms => 501.812 im/s *
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=false  pos=none
done

```
2023-06-09 13:37:20 +03:00
Alexander Alekhin e1ce2146f5 build(ios): disable workaround for CMake 3.25.1+ 2023-06-09 09:21:55 +00:00
Zihao Mu eec8a20c33 Merge pull request #23763 from zihaomu:add_runtime_check
DNN: fix bug for X86 Winograd #23763

Address https://github.com/opencv/opencv/issues/23760
The patch aims to add a runtime check for X86 platform without AVX(2).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-09 09:18:12 +03:00
Alexander Smorkalov 5d913f4d72 Merge pull request #21959 from cpoerschke:4.x-intelligent-scissors-optimisation
imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap
2023-06-08 16:45:04 +03:00
Alex b729d8e821 added graphicalCodeDetector, remove QRCodeDetectorBase 2023-06-08 14:50:58 +03:00
Alexander Smorkalov 6d2cbc4055 Merge pull request #23761 from LaurentBerger:typeblobfromimages
checktype in blobFromImages and blobFromImagesWithParams
2023-06-08 09:59:01 +03:00
Alexander Smorkalov 6d0add4285 Merge pull request #23762 from TolyaTalamanov:at/gapi-ov-backend-hotfix
G-API: OpenVINO Backend Hotfix
2023-06-08 09:50:34 +03:00
Christine Poerschke f597838685 imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap 2023-06-07 22:06:52 +01:00
TolyaTalamanov af95395fe7 Fix ifdef condition 2023-06-07 15:42:54 +01:00
unknown 5f8e43da85 checktype in blobFromImages and blobFromImagesWithParams 2023-06-07 16:15:58 +02:00
Abduragim Shtanchaev 6b53fe8f7b Merge pull request #23746 from Abdurrahheem:ash/graph_simplifier
Assertion Fix in Split Layer #23746

### Pull Request Readiness Checklist

This PR fixes issue mentioned in [#23663](https://github.com/opencv/opencv/issues/23663)
Merge with https://github.com/opencv/opencv_extra/pull/1067

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-07 16:01:42 +03:00
Christine Poerschke d3e7968927 Merge pull request #23688 from cpoerschke:4.x-pr-21959-prep
imgproc: add contour values check to IntelligentScissorsMB tests

Preparation for the #21959 changes as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1560511500 suggestion.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-07 11:32:17 +03:00
Alexander Smorkalov b9ce87e8e2 Merge pull request #23750 from mshabunin:fix-bgr2hls-access
imgproc/cvtColor: fixed invalid read in BGR2HLS
2023-06-06 11:34:08 +03:00
Alexander Smorkalov af03e000c7 Merge pull request #23732 from vekkuli:vekkuli-patch-create-featherblender
Fix missuse of try_gpu in stitching/FeatherBlender
2023-06-06 10:00:36 +03:00
Alexander Smorkalov 635bbfe92b Merge pull request #23748 from AleksandrPanov:fix_cornerRefinementMethod_binding
fix Java bindings for cornerRefinementMethod binding
2023-06-06 09:59:13 +03:00
Maksim Shabunin adab462e42 imgproc/cvtColor: fixed invalid read in BGR2HLS 2023-06-05 23:25:44 +03:00
Alex b5ac7ef2f2 fix cornerRefinementMethod binding 2023-06-05 11:04:11 +03:00
Wang Kai 983925c685 fixing typo 2023-06-04 19:06:26 +08:00
Alexander Smorkalov 84457a5dcd Merge pull request #23729 from asmorkalov:as/create_samples_overflow
Fixed potential buffer overflow of user file name in create_samples_app
2023-06-03 10:13:11 +03:00
Jaakko Rantala 385003e9fe Update blenders.cpp
Removed passing try_gpu parameter to FeatherBlender constructor because it only has sharpness parameter.
2023-06-02 16:46:05 +03:00
Alexander Panov 9fa014edcd Merge pull request #23264 from AleksandrPanov:add_detect_qr_with_aruco
Add detect qr with aruco #23264

Using Aruco to detect finder patterns to search QR codes.

TODO (in next PR):
- add single QR detect (update `detect()` and `detectAndDecode()`)
- need reduce full enumeration of finder patterns
- need add finder pattern info to `decode` step
- need to merge the pipeline of the old and new algorithm

[Current results:](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit#gid=1192415584)
+20% total detect, +8% total decode in OpenCV [QR benchmark](https://github.com/opencv/opencv_benchmarks/tree/develop/python_benchmarks/qr_codes) 

![res1](https://user-images.githubusercontent.com/22337800/231228556-191d3eae-a318-44e1-af99-e7d420bf6248.png)


78.4% detect, 58.7% decode vs 58.5 detect, 50.5% decode in default

[main.py.txt](https://github.com/opencv/opencv/files/10762369/main.py.txt)

![res2](https://user-images.githubusercontent.com/22337800/231229123-ed7f1eda-159a-444b-a3ff-f107d8eb4a20.png)


add new info to [google docs](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit?usp=sharing)


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-02 16:18:24 +03:00
Anatoliy Talamanov 5330112f05 Merge pull request #23595 from TolyaTalamanov:at/implement-openvino-backend
[G-API] Implement OpenVINO 2.0 backend #23595

### Pull Request Readiness Checklist

Implemented basic functionality for `OpenVINO` 2.0 G-API backend.

#### Overview
- [x] Implement `Infer` kernel with some of essential configurable parameters + IR/Blob models format support.
- [ ] Implement the rest of kernels: `InferList`, `InferROI`, `Infer2` + other configurable params (e.g reshape)
- [x] Asyncrhonous execution support
- [ ] Remote context support

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-02 14:31:03 +03:00
Alexander Smorkalov 66f86e898c Fixed potential buffer overflow of user file name in create_samples_app 2023-06-02 10:33:24 +03:00
Alexander Smorkalov 36d6ca529d Merge pull request #23721 from asmorkalov:as/openjpeg_2.5_warning_fix
Fixed OpenJPEG 2000 compiler warning for some GCC versions (#23710)
2023-06-02 09:40:45 +03:00
Alexander Smorkalov 2104d61d4a Merge pull request #23668 from TolyaTalamanov:at/fix-resize-applying-logic-ie-backend
WIP: [G-API] IE Backend: Update the condition for applying the resize preprocessing
2023-06-01 13:55:07 +03:00
Alexander Smorkalov fe7c5e3f64 Merge pull request #23722 from asmorkalov:as/python_classifiers_update
Python package classifiers sync with OpenCV-Python repo
2023-06-01 13:53:36 +03:00
Alexander Smorkalov 0787c31f41 Python package classifiers sync with OpenCV-Python repo. 2023-06-01 10:49:27 +03:00
Alexander Smorkalov 2f805ff7ad Fixed OpenJPEG 2000 compiler warning for some GCC versions (#23710). 2023-06-01 10:21:43 +03:00
Anna Khakimova 6d3dd24622 Merge pull request #21797 from anna-khakimova:ak/merge3_extend_supported_types
GAPI Fluid SIMD:Add support of new several types for the Merge3

- Support of the new several types was added.
- Fixes for the Split/Merge and ConvertTo issues.
2023-05-31 14:59:39 +03:00
Dmitry Matveev fc5d412ba7 Merge pull request #23597 from dmatveev:dm/gapi_onnx_py_integration
G-API: Integration branch for ONNX & Python-related changes #23597

# Changes overview

## 1. Expose ONNX backend's Normalization and Mean-value parameters in Python

* Since Python G-API bindings rely on `Generic` infer to express Inference, the `Generic` specialization of `onnx::Params` was extended with new methods to control normalization (`/255`) and mean-value; these methods were exposed in the Python bindings
* Found some questionable parts in the existing API which I'd like to review/discuss (see comments)

UPD:
1. Thanks to @TolyaTalamanov normalization inconsistencies have been identified with `squeezenet1.0-9` ONNX model itself; tests using these model were updated to DISABLE normalization and NOT using mean/value.
2. Questionable parts were removed and tests still pass.

### Details (taken from @TolyaTalamanov's comment):

`squeezenet1.0.*onnx` - doesn't require scaling to [0,1] and mean/std because the weights of the first convolution already scaled. ONNX documentation is broken. So the correct approach to use this models is:

1. ONNX: apply preprocessing from the documentation: https://github.com/onnx/models/blob/main/vision/classification/imagenet_preprocess.py#L8-L44 but without normalization step:
```
# DON'T DO IT:
# mean_vec = np.array([0.485, 0.456, 0.406])
# stddev_vec = np.array([0.229, 0.224, 0.225])
# norm_img_data = np.zeros(img_data.shape).astype('float32')
# for i in range(img_data.shape[0]):
#     norm_img_data[i,:,:] = (img_data[i,:,:]/255 - mean_vec[i]) / stddev_vec[i]
#     # add batch channel
#     norm_img_data = norm_img_data.reshape(1, 3, 224, 224).astype('float32')
#     return norm_img_data

# INSTEAD
return img_data.reshape(1, 3, 224, 224)
```

2. G-API: Convert image from BGR to RGB and then pass to `apply` as-is with configuring parameters:
```
net = cv.gapi.onnx.params('squeezenet', model_filename)
net.cfgNormalize('data_0', False)
```
**Note**: Results might be difference because `G-API` doesn't apply central crop but just do resize to model resolution.

---

`squeezenet1.1.*onnx` - requires scaling to [0,1] and mean/std - onnx documentation is correct.
1. ONNX: apply preprocessing from the documentation: https://github.com/onnx/models/blob/main/vision/classification/imagenet_preprocess.py#L8-L44
2. G-API: Convert image from BGR to RGB and then pass to `apply` as-is with configuring parameters:
```
net = cv.gapi.onnx.params('squeezenet', model_filename)
net.cfgNormalize('data_0', True) // default
net.cfgMeanStd('data_0', [0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
```
**Note**: Results might be difference because `G-API` doesn't apply central crop but just do resize to model resolution.

## 2. Expose Fluid & kernel package-related functionality in Python

* `cv::gapi::combine()`
* `cv::GKernelPackage::size()` (mainly for testing purposes)
* `cv::gapi::imgproc::fluid::kernels()`

Added a test for the above.

## 3. Fixed issues with Python stateful kernel handling

Fixed error message when `outMeta()` of custom python operation fails.

## 4. Fixed various issues in Python tests

1. `test_gapi_streaming.py` - fixed behavior of Desync test to avoid sporadic issues
2. `test_gapi_infer_onnx.py` - fixed model lookup (it was still using the ONNX Zoo layout but was NOT using the proper env var we use to point to one).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-30 17:52:17 +03:00
Pierre Chatelier 93d490213f Merge pull request #23690 from chacha21:rotatedRectangleIntersection_precision
better accuracy for _rotatedRectangleIntersection() (proposal for #23546) #23690

_rotatedRectangleIntersection() can be (statically) customized to use double instead of float for better accuracy
this is a proposal for experimentation around #23546

for better accuracy, _rotatedRectangleIntersection() could use double. It will still return cv::Point2f list for backward compatibility, but the inner computations are controlled by a typedef

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-30 17:46:39 +03:00
Alexander Smorkalov c55aee1e79 Merge pull request #23707 from Orange-OpenSource:ONNX_Squeeze_negative_index_for_the_axes_attribute
Addition of normalize_axis to ONNXImporter::parseSqueeze
2023-05-30 16:33:25 +03:00
Olivier Hotel 0442c6fa81 Addition of normalize_axis to ONNXImporter::parseSqueeze to support negative values for the axes attribut.
Negative values are part of the ONNX optset>=11.

Signed-off-by: Olivier Hotel <olivier.hotel@orange.com>
2023-05-30 10:21:27 +02:00
Alexander Smorkalov 1457320702 Merge pull request #23703 from Abdurrahheem:ash/graph_simplifier
Added missing index for skipping subgraph simplification
2023-05-30 10:31:00 +03:00
Abduragim Shtanchaev ecd2e8ff47 added index that check all inputs of nodes that
match
2023-05-29 14:48:42 +03:00
Alexander Smorkalov 02397ef851 Merge pull request #23567 from seanm:UBSan-overflow
Reformulated some pointer arithmetic to avoid (unsigned) overflow
2023-05-29 12:19:34 +03:00
Alexander Smorkalov f1076541d1 Merge pull request #23514 from tappytaps:mac-catalyst-fix
updated mac catalyst target to be compatible with latest xCode / macos
2023-05-29 12:18:16 +03:00
Christine Poerschke b5e9eb742c Merge pull request #23698 from cpoerschke:4.x-pr-21959-perf
imgproc: add basic IntelligentScissorsMB performance test #23698

Adding basic performance test that can be used before and after the #21959 changes etc. as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1565240926 comment.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-29 11:02:59 +03:00
Alexander Smorkalov 6ad77b2319 Merge pull request #23682 from asmorkalov:as/openjpeg_2.5.0
3rdparty: OpenJPEG update 2.4.0 => 2.5.0
2023-05-29 08:56:57 +03:00
Alexander Smorkalov 67e0ed93a9 Merge pull request #23695 from triple-Mu:triplemu/fix-python-binding
Update setup.py
2023-05-27 18:29:33 +03:00
triple Mu 1bffe170e1 Update setup.py
Fix error:
UnboundLocalError: local variable 'typing_stub_files' referenced before assignment
2023-05-27 17:23:32 +08:00
Alexander Smorkalov 7b998c30e7 Merge pull request #23694 from dkurt:update_matchTemplateMask
Update matchTemplate with mask
2023-05-27 09:42:55 +03:00
Sean McBride 2083fdc9c0 Fixed UBSan warning about undefined pointer arithmetic overflow
Pointer arithmetic overflow is always undefined, whether signed or unsigned.

It warned here:

`Addition of unsigned offset to 0x00017fd31b97 overflowed to 0x00017fd30c97`

Convert the offset to a signed number, so that we can offset either forward or backwards.

In my own use of OpenCV at least, this is the only case of pointer arithmetic overflow.
2023-05-26 15:54:52 -04:00
Alexander Smorkalov d1b158b9dd Merge pull request #23692 from asmorkalov:as/ffmpeg_fps_3.4
backport to 3.4: Fixed FPS computation on some videos for FFmpeg backend
2023-05-26 20:47:13 +03:00
Dmitry Kurtaev 380caa1a87 Merge pull request #23691 from dkurt:pycv_float16_fixes
Import and export np.float16 in Python #23691

### Pull Request Readiness Checklist

* Also, fixes `cv::norm` with `NORM_INF` and `CV_16F`

resolves https://github.com/opencv/opencv/issues/23687

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-26 18:56:21 +03:00
Alexander Smorkalov 900f17d563 Merge pull request #23677 from asmorkalov:as/objc_naming_backport
ObjC naming backport from 5.x
2023-05-26 18:54:34 +03:00
Dmitry Kurtaev c97942cf78 Fix mask thresholding 2023-05-26 18:51:33 +03:00
captain-n3m0 6157db6462 Fixed matchTemplate function. #23585 2023-05-26 18:51:01 +03:00
Duong Dac a9424868a1 Merge pull request #20370 from ddacw:stub-gen-next
Python typing stub generation #20370

Add stub generation to `gen2.py`, addressing #14590.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [x] There is reference to original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-26 18:25:46 +03:00
Alexander Smorkalov 749935866d Merge pull request #23664 from asmorkalov:as/solveLP_infeasible
Added final constrants check to solveLP to filter out flating-point numeric issues
2023-05-26 15:13:49 +03:00
Alexander Smorkalov cbda161c39 Fixed FPS computation on some videos for FFmpeg backend. 2023-05-26 14:36:13 +03:00
Alexander Smorkalov a63636171e Re-integrated OpenJPEG 2.5.0 to OpenCV. 2023-05-26 14:14:30 +03:00
Alexander Smorkalov cf0ba039c3 Merge pull request #23625 from zihaomu:improve_conv
DNN: Remove unnecessary flags for convolution
2023-05-26 12:59:36 +03:00
Alexander Smorkalov c75d0b8ca3 Merge pull request #23684 from LaurentBerger:I23683
solve Issue I23683
2023-05-26 12:01:50 +03:00
Alexander Smorkalov a2b679bc26 Merge pull request #23686 from LaurentBerger:I23685
solve Issue 23685
2023-05-26 10:53:29 +03:00
unknown 45dcd156b7 solve Issue 23685 2023-05-25 21:34:51 +02:00
unknown e6282b8ace solve Issue I23683 2023-05-25 19:42:01 +02:00
anders-nylander 87331ca1a0 Merge pull request #21736 from anders-nylander:fix_android_sdk_tools_dependency
Android: don't require deprecated tools #21736

Checking for these deprecated is no longer necessary, and infact broken on fresh Android SDK installs. Remove the check.

resolves #21735

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2023-05-25 18:29:14 +03:00
Alexander Smorkalov 65487946cc Added final constrants check to solveLP to filter out flating-point numeric issues. 2023-05-25 17:29:01 +03:00
Dmitry Kurtaev 4823285b55 Merge pull request #23679 from dkurt:py_cv_type_macro
Python bindings for CV_8UC(n) and other types macros #23679

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23628#issuecomment-1562468327

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-25 15:54:41 +03:00
Alexander Smorkalov 26a7b332cb Merge pull request #23671 from zihaomu:fix_potential_bug
DNN: fix potential bug, stride should not be set as 0.
2023-05-25 13:36:37 +03:00
Yuantao Feng f07b01cc34 Merge pull request #23655 from fengyuentau:qlinearsoftmax
Support ONNX operator QLinearSoftmax in dnn #23655

Resolves https://github.com/opencv/opencv/issues/23636.
Merge with https://github.com/opencv/opencv_extra/pull/1064.

This PR maps the QLinearSoftmax (from com.microsoft domain) to SoftmaxInt8 in dnn along with some speed optimization.

Todo:
- [x] support QLinearSoftmax with opset = 13
- [x] add model and test data for QLinearSoftmax with opset = 13
- [x] ensure all models have dims >= 3.
- [x] add the script to generate model and test data 

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2023-05-25 13:35:58 +03:00
Alexander Smorkalov bbda6f4c57 Backport 5.x: Support for module names that start from digit in ObjC bindings generator. 2023-05-25 11:45:59 +03:00
Dmitry Kurtaev 29b2f77b5f Merge pull request #23674 from dkurt:py_cv_maketype
CV_MAKETYPE Python binding #23674 

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23628

```python
import cv2 as cv

t = cv.CV_MAKETYPE(cv.CV_32F, 4)
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-25 09:45:22 +03:00
Maksim Shabunin 537060d96f Merge pull request #23672 from mshabunin:fix-javadoc17 2023-05-24 23:07:27 +03:00
Alexander Smorkalov dbd1811d53 OpenJPEG 2000 update to version 2.5.0 2023-05-24 21:02:11 +03:00
zihaomu 4384e77bd1 when stride ==0, it should be bug 2023-05-24 21:57:59 +08:00
TolyaTalamanov dc714c1181 Change logic for applying resize 2023-05-24 13:06:19 +00:00
Alexander Smorkalov d4861bfd1f Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-05-24 14:37:48 +03:00
Akshat Chauhan c07145fe28 Merge pull request #23662 from akormous:docfix
Fix truncated sentenced in boxPoints documentation #22975 #23662

Resolves #22975

Completed the sentence as per the suggestion given in the issue #22975
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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2023-05-24 11:41:25 +03:00
Alexander Smorkalov e09684647a Merge pull request #23657 from asmorkalov:as/uyvy_cvtColor_size_check
Added check that YUYV input of cvtColor has even width.
2023-05-23 15:07:49 +03:00
Alexander Smorkalov 98d678c2d2 Added check that YUYV input of cvtColor has even width. 2023-05-23 14:17:43 +03:00
Alexander Smorkalov 4a559bc2ab Merge pull request #23656 from peters:patch-2
Build fix for AVX 256
2023-05-23 09:20:34 +03:00
Fabrizio Di Vittorio 044a322519 Merge pull request #23594 from fdivitto:fdivitto-traincascade-patch
fix: traincascade, use C++ persistence API #23594

This pull allows to compile traincascade application with OpenCV 4.6. Changes uses new persistence C++ API in place of legacy one.
2023-05-23 09:19:27 +03:00
Alexander Smorkalov e3c5c0906b Merge pull request #23371 from cudawarped:cuda_add_futher_python_interop
`cuda`: Add bindings to allow `GpuMat` and `Stream` objects to be initialized from memory initialized in other libraries
2023-05-22 18:17:12 +03:00
Alexander Smorkalov 2e9eb05751 Merge pull request #23641 from zihaomu:ci_of_vulkan
[CI] : add the ci node of Vulkan
2023-05-22 16:32:51 +03:00
Alexander Smorkalov b122a4b436 Merge pull request #23646 from dkurt:dnn_ie_region_fix
Fix Region layer with OpenVINO in case of different width/height
2023-05-22 16:22:50 +03:00
Christine Poerschke d00a96315e Merge pull request #23612 from cpoerschke:3.4-issue-21532
QRCodeDetector: don't floodFill with outside-of-image seedPoint #23612

Fixes #21532.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-22 13:34:30 +03:00
Peter Rekdal Khan-Sunde 04970490ec Build fix
/build/build_cuda/3p/opencv/linux-x64/ubuntu22.04/Debug/modules/dnn/src/layers/cpu_kernels/convolution.cpp: In function 'void cv::dnn::packData8(char*&, float*&, int&, int&, int&, const int*, int, int, int)':
/build/build_cuda/3p/opencv/linux-x64/ubuntu22.04/Debug/modules/dnn/src/layers/cpu_kernels/convolution.cpp:448:43: error: 'CONV_NR' was not declared in this scope; did you mean 'CONV_3D'?
  448 |                 vx_store(inpbufC_FP32 + k*CONV_NR, vx_load(inptrInC + k1));
      |                                           ^~~~~~~
      |                                           CONV_3D
2023-05-22 11:25:04 +02:00
Alexander Smorkalov 9976074271 Merge pull request #23652 from rahulnoronha:patch-1
Update properties - typo
2023-05-22 11:38:55 +03:00
cudawarped 7539abecdb cuda: add python bindings to allow GpuMat and Stream objects to be initialized from raw pointers 2023-05-22 11:02:04 +03:00
Rahul Noronha d79a6eddf2 Update properties - typo
Typo present, changing OpenVC to OpenCV.
2023-05-21 14:03:44 +05:30
Alexander Smorkalov 3f3c821800 Merge pull request #23631 from asmorkalov:as/eigen_NOMINMAX_warning_fix
Build warning fix on Windows for Eigen wrapper.
2023-05-19 21:06:41 +03:00
Vladimir Ponomarev 97c021b17a Merge pull request #23575 from vovka643:4.x_aruco_calib3d_calibration
add ChArUco board pattern into calib3d/camera_calibration #23575

Added opportunity to calibrate camera using ChArUco board pattern in /samples/cpp/tutorial_code/calib3d/camera_calibration/caera_calibration.cpp 
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-19 21:06:23 +03:00
Alexander Smorkalov c946285a07 Merge pull request #23601 from cudawarped:videocapture_threading
Videoio: FFMpeg remove locks from `VideoCapure/VideoWriter::open()` to fix 20114
2023-05-19 20:33:25 +03:00
Dmitry Kurtaev c92135bdd1 Merge pull request #23634 from dkurt:fix_nearest_exact
Fix even input dimensions for INTER_NEAREST_EXACT #23634

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/22204
related: https://github.com/opencv/opencv/issues/9096#issuecomment-1551306017

/cc @Yosshi999

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-19 20:32:04 +03:00
Vladimir Ponomarev 9931da772d Merge pull request #23363 from vovka643:4.x_generate_charuco
Added charuco board generation to gen_pattern.py #23363

added charuco board generation in gen_pattern.py
moved aruco_dict_utils.cpp to samples from opencv_contrib (https://github.com/opencv/opencv_contrib/pull/3464)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-19 20:25:59 +03:00
Alexander Smorkalov f2311d1bfd Merge pull request #23645 from Abdurrahheem:ash/tf_init_input_check
Add assert to check if layer input size is not empty
2023-05-19 13:28:24 +03:00
Zihao Mu 5025f29378 speed up vulkan dnn, and support ios and apple m1 chip. (#23349) 2023-05-18 20:02:27 +03:00
Alexander Smorkalov 435ccfdd51 Merge pull request #23638 from soyszala:issue#23633
Proposed solution for issue #23633
2023-05-18 19:05:45 +03:00
Dmitry Kurtaev af14780526 Fix Region layer with OpenVINO in case of different width/height 2023-05-18 17:45:30 +03:00
Abduragim Shtanchaev 2b9d2c726a add assert to check if layer input size is not empty 2023-05-18 16:17:57 +03:00
zihaomu d847f4f0fd add the node from ci-gha 2023-05-18 16:29:22 +08:00
SoY Szala 340e999c45 Proposed solution for issue #23633 2023-05-17 23:06:59 +02:00
Abduragim Shtanchaev d2143bcd44 Merge pull request #23614 from Abdurrahheem:lstm_layout_attribute
LSTM ONNX Layout Attribute Support #23614 

### Explanation

This PR contains necessary changes to support `layout` attribute. This attributes is present in [ONNX](https://github.com/onnx/onnx/blob/main/docs/Operators.md#lstm) and [Torch](https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html#lstm) (in touch it is name as `batch_first=True`) libraries. When `layout = 1` input to LSTM layer is expected to have batch dimension first -> `[batch_size, sequence_length, features]` vs `layout = 0` - default `[sequence_length, batch_size, features]`

### Test Data

Test data and data generator for PR located here [#1063](https://github.com/opencv/opencv_extra/pull/1063)

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-17 22:46:56 +03:00
Alexander Smorkalov 53b678d5cf Merge pull request #23632 from asmorkalov:as/AffineFeature_mask_fix_3.4
Fixed mask handling in AffineFeature
2023-05-17 22:08:42 +03:00
Vladimir Ponomarev d2618bfe11 Merge pull request #23587 from vovka643:4.x_aruco_calibrate_py
Added charuco pattern into calibrate.py #23587

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-17 18:30:30 +03:00
Alexander Smorkalov ae8c90301f Fixed mask handling in AffineFeature. 2023-05-17 12:04:52 +03:00
Alexander Smorkalov 4eec739624 Build warning fix on Windows for Eigen wrapper. 2023-05-17 10:12:02 +03:00
Yuantao Feng eefee8574a dnn: refactor reduce (#23613)
* initial impl

* remove reduce in8; fix reduce importer

* fix bugs and add log sum exp

* remove unnecessary header and fix indentation
2023-05-17 10:03:45 +03:00
Alexander Smorkalov be84824530 Merge pull request #23629 from asmorkalov:as/cpu_features_bindings
Restored Java bindings for CPU features management
2023-05-17 09:39:06 +03:00
Zihao Mu 5229312ad2 Merge pull request #22275 from zihaomu:fp16_support_conv
DNN: FP16 support on Convolution 2D #22275 

## FP16 support on ARM platform
This PR proposes to support FP16 backend in Convolution.
For now, we only support FP16 at ARM aarch64.

In addition to adding fp16, I also added `seperateIm2col` optimization in this patch.

## How to use FP16 to speed up convolution?
```
Net net = readNet(modelPath);
net.setPreferableTarget(DNN_TARGET_CPU_FP16);
net.setInput(blob);
Mat output = net.forward();
```

### TODO List
| Task | Status | Remarks |
|:-------:|:--------:|:------------:|
| Convolution 2D FP16 | ✔️ | Done |
| Winograd FP16 | Because the current modification has reached 2k lines, winograd fp16 will be completed in the next PR. |  |
| Accuracy Test | ✔️ | Done |
| Performance Test | ✔️ | Done |
| Compiler bug | ✔️ | Done |

### Speed Test for FP 16.

**Test on M1 chip, 4 threads.**

| Model Name | FP32 (Conv+Wino) | Conv(FP16) + Wino(FP 32) |
|:-------:|:--------:|:------------:|
| ReseNet 50 | 26.0 ms | **18.05 ms** (25% speed up)|
| MobileNet V2 | 4.17 ms | **3.09 ms (29% speed up)** |

### Speed Test for `seperateIm2col` trick on X86.
**Test on AMD 5600x, 12 threads.**
| Model Name | 4.x | Patch |
|:-------:|:--------:|:------------:|
| MobileNet V2 | 5.6 ms | **3.0 ms (46% speed up)** |

### Performance Test

#### Performance Test of X86 platform: AMD 5600X, with `-perf_threas=1`
|Name of Test|4.x|patch|patch vs 4.x (x-factor)|
|---|:-:|:-:|:-:|
|Name of Test|4.x 0|fp16pr final|fp16pr final vs 4.x 0 (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|1.00|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|1.03|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.92|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.003|0.95|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.006|0.006|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.045|0.033|1.39|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.011|0.009|1.17|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.109|0.078|1.39|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.040|0.042|0.94|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.326|0.342|0.95|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.580|0.589|0.99|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.293|1.382|0.94|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.590|3.710|0.97|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.120|1.191|0.94|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.576|2.872|0.90|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.599|4.670|0.98|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.230|9.582|0.96|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|65.946|69.381|0.95|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|18.915|19.289|0.98|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.404|1.457|0.96|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|2.060|1.501|1.37|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.409|1.464|0.96|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.793|1.838|0.98|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.207|1.199|1.01|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.277|1.275|1.00|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.319|2.370|0.98|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.351|1.346|1.00|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.520|3.612|0.97|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.876|1.880|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.981|1.995|0.99|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.620|2.627|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.202|4.123|1.02|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.429|2.445|0.99|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.591|2.576|1.01|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|3.005|2.998|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.515|3.532|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.115|3.134|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|3.937|3.899|1.01|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.533|5.471|1.01|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.472|3.464|1.00|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.302|4.322|1.00|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.100|6.035|1.01|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.580|6.484|1.01|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|9.741|9.634|1.01|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.131|10.156|1.00|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.391|12.350|1.00|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|91.074|87.893|1.04|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|5.903|5.903|1.00|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.890|6.794|1.01|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.160|5.131|1.01|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|4.970|5.036|0.99|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|5.045|5.015|1.01|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.583|11.343|1.02|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.348|5.320|1.01|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.357|5.396|0.99|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.050|6.006|1.01|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|5.952|5.953|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.014|8.014|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.472|12.577|0.99|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|10.803|10.655|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|18.429|13.405|1.37|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.659|6.647|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.192|13.819|1.03|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.045|6.068|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.742|12.828|0.99|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.046|7.773|1.04|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.440|17.192|1.01|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.418|14.972|1.03|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.430|0.430|1.00|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.692|6.663|1.00|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.350|6.347|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.267|0.265|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.755|7.558|1.03|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.203|0.202|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.663|10.576|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.827|10.614|1.02|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.049|6.947|1.01|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|6.900|6.901|1.00|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.165|0.165|1.00|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|17.953|17.251|1.04|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.430|7.320|1.01|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.187|21.705|1.02|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.349|8.126|1.03|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.273|8.297|1.00|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.169|8.094|1.01|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.602|13.359|1.02|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.633|8.584|1.01|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|29.339|28.897|1.02|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|13.000|12.920|1.01|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.262|13.319|1.07|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.453|27.253|1.01|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.052|27.269|1.18|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|15.363|15.208|1.01|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.543|18.434|1.01|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|39.114|37.954|1.03|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.271|36.972|0.98|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.262|19.427|0.99|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.298|19.349|1.00|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.261|19.847|1.02|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.867|21.525|1.02|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.756|49.979|1.04|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|28.133|27.060|1.04|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|25.035|24.980|1.00|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.858|25.821|1.00|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.313|27.149|1.01|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.219|28.111|1.00|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|46.025|46.674|0.99|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|30.220|29.446|1.03|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|49.410|48.708|1.01|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|38.203|38.001|1.01|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|39.961|39.021|1.02|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|48.685|47.075|1.03|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|75.114|72.586|1.03|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.222|41.144|1.00|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.220|46.353|1.00|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.201|98.771|0.99|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|100.106|96.971|1.03|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|146.977|140.445|1.05|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|198.618|194.665|1.02|


#### Performance Test of ARM platform: apple M1, with `-perf_threas=1`

Min (ms)

|Name of Test|4.x|patch|4.x vs patch (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|1.07|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|1.10|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.97|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|0.84|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.009|0.009|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.027|0.030|0.90|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.008|0.007|1.07|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.072|0.91|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.090|0.054|1.68|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.409|0.80|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.659|0.697|0.95|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.266|1.403|0.90|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.550|4.145|0.86|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.188|1.375|0.86|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.683|3.236|0.83|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.491|5.501|0.82|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.916|10.181|0.88|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.995|72.296|0.97|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|22.531|23.139|0.97|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.239|1.933|1.16|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU_FP16)|-|1.010|-|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.134|2.068|1.52|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU_FP16)|-|1.062|-|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.918|1.920|1.00|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU_FP16)|-|1.014|-|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.340|2.352|0.99|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.247|-|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.116|1.111|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU_FP16)|-|1.114|-|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.116|1.112|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|1.113|-|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.067|3.085|0.99|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.622|-|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.153|1.187|0.97|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU_FP16)|-|1.150|-|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.804|4.849|0.99|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU_FP16)|-|2.922|-|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.463|1.469|1.00|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.459|-|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.577|1.580|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU_FP16)|-|1.580|-|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.826|1.818|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU_FP16)|-|1.817|-|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|6.541|5.081|1.29|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU_FP16)|-|2.809|-|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.912|1.919|1.00|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.919|-|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.961|1.971|0.99|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|1.961|-|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.317|2.329|0.99|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU_FP16)|-|2.322|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.920|2.947|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU_FP16)|-|2.924|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.467|2.466|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU_FP16)|-|2.496|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|3.028|2.997|1.01|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|2.986|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.353|4.355|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU_FP16)|-|4.355|-|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.762|2.793|0.99|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|2.797|-|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.428|3.226|1.06|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU_FP16)|-|3.223|-|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|3.967|3.957|1.00|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU_FP16)|-|3.960|-|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|4.806|4.387|1.10|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU_FP16)|-|4.366|-|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.509|11.756|1.23|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|6.510|-|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|13.718|13.287|1.03|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU_FP16)|-|7.190|-|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.133|14.853|1.02|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU_FP16)|-|8.671|-|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|41.928|43.328|0.97|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU_FP16)|-|38.072|-|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.409|4.428|1.00|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|4.427|-|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.144|5.363|1.15|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU_FP16)|-|5.368|-|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|3.926|3.932|1.00|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.938|-|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.920|3.915|1.00|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.950|-|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|3.767|3.764|1.00|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|3.762|-|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|19.959|13.875|1.44|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU_FP16)|-|7.781|-|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|3.951|3.955|1.00|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.969|-|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.050|4.034|1.00|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.093|-|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.923|4.506|1.09|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.509|-|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.759|4.476|1.06|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.447|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|6.079|5.628|1.08|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU_FP16)|-|5.625|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.843|17.523|1.13|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|8.917|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.334|8.247|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU_FP16)|-|8.246|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|23.164|18.199|1.27|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|9.305|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.184|5.178|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU_FP16)|-|5.149|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.990|18.103|0.99|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|9.777|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.831|4.522|1.07|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|4.523|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.328|17.319|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|8.948|-|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|5.944|5.961|1.00|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU_FP16)|-|5.936|-|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.811|20.064|0.99|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|11.705|-|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.398|17.686|1.27|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU_FP16)|-|9.859|-|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.416|0.416|1.00|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.417|-|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.356|5.110|1.05|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU_FP16)|-|5.114|-|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|5.092|4.748|1.07|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.754|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.260|0.229|1.13|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.229|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.872|5.460|1.08|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU_FP16)|-|5.460|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.161|0.161|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.161|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.176|7.175|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|7.162|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.174|7.185|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU_FP16)|-|7.157|-|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.400|5.180|1.04|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.201|-|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.330|5.188|1.03|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.177|-|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.115|0.115|1.00|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.115|-|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|26.156|20.222|1.29|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU_FP16)|-|11.203|-|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.627|5.543|1.02|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.506|-|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.925|27.741|1.01|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU_FP16)|-|17.217|-|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.359|6.062|1.05|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.048|-|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|6.559|6.322|1.04|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU_FP16)|-|6.280|-|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.412|6.200|1.03|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.197|-|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.167|8.624|1.06|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU_FP16)|-|8.626|-|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|6.755|6.491|1.04|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.520|-|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.664|34.752|1.03|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|20.260|-|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.514|9.414|1.01|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|9.462|-|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.631|9.963|1.07|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|9.935|-|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.465|36.798|1.02|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU_FP16)|-|19.569|-|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|38.157|36.157|1.06|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU_FP16)|-|18.902|-|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.356|10.401|1.00|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|10.360|-|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.641|12.150|1.04|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU_FP16)|-|12.162|-|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.545|50.505|1.00|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|27.950|-|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|54.233|49.603|1.09|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU_FP16)|-|26.515|-|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|13.779|12.968|1.06|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|12.984|-|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|15.809|15.329|1.03|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|15.433|-|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|14.563|14.527|1.00|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|14.480|-|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|16.714|16.484|1.01|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|16.362|-|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.832|65.729|1.18|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|32.065|-|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.903|20.386|1.07|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU_FP16)|-|20.416|-|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.405|18.148|1.12|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU_FP16)|-|18.128|-|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.334|18.521|1.10|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|18.495|-|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.527|19.584|1.10|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|19.630|-|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.715|20.057|1.13|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|20.068|-|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|26.228|24.992|1.05|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|24.957|-|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.524|21.581|1.00|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|21.782|-|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|34.094|31.964|1.07|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|31.925|-|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|28.677|27.813|1.03|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|27.808|-|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|31.274|27.892|1.12|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|27.910|-|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|30.533|30.007|1.02|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|30.089|-|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|39.837|38.312|1.04|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|38.477|-|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|32.480|29.237|1.11|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU_FP16)|-|29.452|-|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|33.544|32.832|1.02|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|32.784|-|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|134.481|130.678|1.03|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU_FP16)|-|70.134|-|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.930|126.530|1.01|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU_FP16)|-|65.261|-|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|201.346|187.007|1.08|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU_FP16)|-|91.525|-|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|252.038|245.587|1.03|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU_FP16)|-|125.477|-|

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-17 09:38:33 +03:00
cudawarped 99ef35a353 Videoio: FFMpeg remove locks if OPENCV_FFMPEG_IS_THREAD_SAFE==true 2023-05-17 08:20:46 +03:00
Alexander Smorkalov 05084aa63e Restored Java bindings for CPU features management. 2023-05-16 18:04:09 +03:00
Maksim Shabunin 001a2c5195 Merge pull request #23606 from mshabunin:fix-ffmpeg-packet-limit
videoio/FFmpeg: increased packet read attempt limit, allow configuring it

resolves #9455
related #3225

* Use different counters for wrong packets recieved by demuxer and errors from decoder
* Allow modifying these counters via environment variables `OPENCV_FFMPEG_READ_ATTEMPTS`/`OPENCV_FFMPEG_DECODE_ATTEMPTS`
* Added logging when reading breaks at one of error limits

Notes:
* I've been able to reproduce original issue with a video file with 14 total streams (video + audio + subtitles), at some point in the video only packets from the last stream are being sent by the demuxer, thus exceeding our limit. For my specific video total number of packets from wrong stream was about 2700. I've chosen 4096 as default value.
* Default limit of decoding attempts is quite low, because I'm not sure in which cases it can be exceeded (network stream?). I tried to read 8k video from the disk, but it did not cause break at decode point.
2023-05-16 14:31:04 +03:00
Alexander Smorkalov bcb49d71b4 Merge pull request #23515 from vovka643:4.x_aruco_stereo_calibration
added aruco pattern support into stereo_calibration.cpp
2023-05-16 14:19:53 +03:00
Alexander Smorkalov 59ca444b26 Merge pull request #23560 from WanliZhong:eltwise_cuda_bug
DNN/CUDA: Solve the bug of same shape broadcast with CUDA
2023-05-16 14:16:37 +03:00
Alexander Alekhin 04d71da6e7 Merge pull request #23566 from seanm:atomic-bool 2023-05-16 10:46:59 +00:00
vovka643 fa5c5f4105 added aruco pattern into stereo_calibration.cpp 2023-05-16 12:22:03 +03:00
zihaomu 91b6c8507a remove flag of convolution 2023-05-16 15:29:20 +08:00
Alexander Smorkalov 4e27fc93f8 Merge pull request #23618 from LaurentBerger:unused_var
remove unused var
2023-05-16 09:16:47 +03:00
Alexander Smorkalov 0800574c12 Merge pull request #23619 from TinyTinni:pixel-info-font-color
Fixes pixel info color font for dark Qt themes
2023-05-16 09:15:15 +03:00
unknown 2c4079fa4b remove unused var 2023-05-15 17:51:12 +02:00
Matthias Möller fc43e51331 sets pixel info font colors based on current palette 2023-05-15 17:42:48 +02:00
Dmitry Kurtaev a8d3d1f6f9 Merge pull request #23604 from dkurt:dnn_no_protobuf
Build DNN without Protobuf

DNN module can be built without Protobuf for Darknet, TFLite, OpenVINO, Torch (not PyTorch) models.

```
cmake \
    -DCMAKE_BUILD_TYPE=Release \
    -DBUILD_LIST=dnn \
    -DWITH_PROTOBUF=OFF \
    -DWITH_OPENCL=OFF

7.1M    lib/libopencv_dnn.so.4.7.0
```


```
cmake \
    -DCMAKE_BUILD_TYPE=Release \
    -DBUILD_LIST=dnn \
    -DWITH_OPENCL=OFF

3.9M    lib/libopencv_dnn.so.4.7.0
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-15 12:23:18 +03:00
wanli 46991bcd62 Solve the bug of same shape broadcast with CUDA 2023-05-15 13:55:38 +08:00
Alexander Smorkalov 85b04f0b4d Merge pull request #23557 from WanliZhong:eltwise_cpu_bug
fix nary elementwise bug in cpu
2023-05-11 15:56:46 +03:00
Alexander Smorkalov 233478e689 Merge pull request #23600 from dkurt:flatbuffers_23.5.9
Update FlatBuffers source code to 23.5.9
2023-05-10 16:01:43 +03:00
Dmitry Kurtaev 676afdc494 Update FlatBuffers source code to 23.5.9 2023-05-10 14:39:36 +03:00
Alexander Smorkalov 8baabdfb57 Merge pull request #23598 from komakai:fix-objc-gen-baseclass
Fix Objective-C generator handling of base class names
2023-05-10 14:07:38 +03:00
Alexander Smorkalov e5e4424f11 Merge pull request #23583 from siilats:patch-3
Update aruco_detect_board_charuco.py
2023-05-10 09:55:12 +03:00
Giles Payne a44a6f6c87 Fix issue in Objective-C generator when a class name is a substring of its base class name 2023-05-10 15:34:25 +09:00
wanli 85cc4086c8 fix nary elementwise bug in cpu 2023-05-10 14:29:33 +08:00
keith siilats 97d7a4a86e Update aruco_detect_board_charuco.py 2023-05-05 13:23:09 -04:00
Alexander Smorkalov 4ed07411c3 Merge pull request #23290 from vovka643:4.x_depricated_backends
4.x deprecated VideoCapture backends
2023-05-05 17:09:29 +03:00
vovka643 d6dc91b4d4 Added depricated_backends list. Added new information masseges. It needs to inform user, when he tries to use depricated or not uses backend 2023-05-05 14:22:18 +03:00
Alexander Smorkalov f7bee7883b Merge pull request #23479 from vovka643:4.x_charuco_calib
Charuco board into interactive calibration
2023-05-05 11:25:36 +03:00
vovka643 f7e52076b6 Define charuco board parameters with command line 2023-05-05 10:08:21 +03:00
Alexander Smorkalov 88bb007d2b Merge pull request #23572 from gabrielnhn:depthmap_tutorial
(docs) Depthmap py_tutorial: add reference to cv.StereoBM class documentation
2023-05-05 09:46:16 +03:00
Gabriel Nascarella ee9449c504 Depthmap tutorial: add reference to class documentation and explain parameter usage 2023-05-05 09:31:50 +03:00
Alexander Smorkalov 25c28c5da4 Merge pull request #23485 from zihaomu:add_onnx_where
DNN: add ONNX where node support
2023-05-05 09:21:07 +03:00
zihaomu 0513741a85 add broadcast where node 2023-05-05 11:16:19 +08:00
Alexander Smorkalov 351589e5fb Merge pull request #23491 from fengyuentau:patch_for_segment_anything
Fixes for Segment Anything
2023-05-04 21:07:58 +03:00
Alexander Smorkalov dabf960b32 Merge pull request #22700 from kallaballa:capture_backened_debug_msg
log a debug message if a capture backend is generally available but isn't capabable of a capture mode
2023-05-04 20:33:36 +03:00
kallaballa a2be9e9fc1 Log a debug message if a capture backend is generally available but isn't capabable of a capture mode. 2023-05-04 19:18:58 +03:00
Alexander Smorkalov 6160104fd7 Merge pull request #23153 from stefan523:ChArUco_pre460_pattern_support
ChArUco pre460 pattern support
2023-05-04 18:30:40 +03:00
Stefan Becker e55784a1e8 ChArUco pre460 pattern support 2023-05-04 16:59:04 +03:00
n0099 868787c364 Merge pull request #23342 from n0099:#23335
Improve document of cv::RotatedRect for #23335 #23342

fix #23335

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-03 14:15:53 +03:00
Sean McBride 27e10efa66 Use std::atomic<bool> as it's necessary for correct thread safety
Now that C++11 is required, we can unconditionally use std::atomic in this case, which is more correct.
2023-05-01 16:44:34 -04:00
Alexander Alekhin 3c76b33532 Merge pull request #22614 from zihaomu:add_std2DB_API 2023-05-01 19:37:23 +00:00
Alexander Smorkalov 685a47b2e2 Merge pull request #23565 from MaximSmolskiy:fix-function-name-in-comment
Fix function name in comment
2023-05-01 11:13:15 +03:00
Maxim Smolskiy 658f18c713 Fix function name in comment 2023-04-30 17:30:01 +03:00
zihaomu 8be93a6de7 add scale factor to DB demo. 2023-04-30 22:03:21 +08:00
Pierre Chatelier 6dd8a9b6ad Merge pull request #13879 from chacha21:REDUCE_SUM2
add REDUCE_SUM2 #13879 

proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements
2023-04-28 20:42:52 +03:00
Laurent Berger 23b819efb8 Merge pull request #23555 from LaurentBerger:doc_format
don't ignore documentation for cv::format in doxygen #23555 

Issue https://github.com/opencv/opencv/issues/23553

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work issue
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-28 15:24:07 +03:00
Alexander Smorkalov 9161e40aa0 Merge pull request #23529 from dmatveev:dm/gapi_onnx_rt_1.14.1
Bump supported ONNX RT version to 1.14.1
2023-04-28 15:19:06 +03:00
Onuralp Sezer 5ccb4e0487 Merge pull request #23447 from onuralpszr:gradle80_namespace
AGP 8.0 build.gradle namespace and aidl buildFeature requirement added #23447 

Hello,

Android Gradle Plugin version 8.0 is asking for namespace. This is become mandatory and after I update my AGP to 8.0, I got this error 


```
Namespace not specified. Please specify a namespace in the module's build.gradle file like so:

android {
    namespace 'com.example.namespace'
}

If the package attribute is specified in the source AndroidManifest.xml, it can be migrated automatically to the namespace value in the build.gradle file using the AGP Upgrade Assistant; please refer to https://developer.android.com/studio/build/agp-upgrade-assistant for more information.
```

This change fix this future releases. However I am not sure how opencv wants to user namespace I used "org.opencv" if there is a different namespace please let me know so I can changed that too. Also should I add namepsace into "opencv/modules/java/android_sdk/android_gradle_lib/build.gradle" here ?

### Sources

Android developer link: https://developer.android.com/studio/preview/features#namespace-dsl
Issue Tracker Google: https://issuetracker.google.com/issues/191813691?pli=1#comment19

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-28 13:41:39 +03:00
Alexander Smorkalov 6dbc5e032f Merge pull request #23545 from Abdurrahheem:tests_lstm_init_no_hidden_states
Added test for LSTM without hidden state initialisation
2023-04-27 16:27:42 +03:00
Alexander Smorkalov af1c63c0a0 Merge pull request #23138 from AleksandrPanov:aruco_fix_matchImagePoints
fix charuco matchImagePoints
2023-04-27 13:55:46 +03:00
Alex 4ba06c3ed0 fix charuco matchImagePoints 2023-04-27 12:05:09 +03:00
Alexander Alekhin 46e2b67ecb Merge pull request #23502 from seanm:sprintf3 2023-04-26 19:40:14 +00:00
Sean McBride 58e4a880a2 Deprecated convertTypeStr and made new variant that also takes the buffer size
This allows removing the unsafe sprintf.
2023-04-26 09:48:15 -04:00
Avasam df99e4e88d Merge pull request #23538 from Avasam:patch-1
Fixed a typo in `documentation.yml` and `feature_request.yml` #23538

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- N/A There is a reference to the original bug report and related work
- N/A There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- N/A The feature is well documented and sample code can be built with the project CMake
2023-04-26 12:28:13 +03:00
Vladimir Ponomarev a174a6c0b5 Merge pull request #23486 from vovka643:4.x_calibration_with_aruco
Add charuco pattern into calibration.cpp #23486

Added charuco pattern into calibration.cpp. Added charuco pattern with predefined aruco dictionary and with dictionary from file.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [х] I agree to contribute to the project under Apache 2 License.
- [х] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [х] The PR is proposed to the proper branch
- [х] There is a reference to the original bug report and related work
- [х] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [х] The feature is well documented and sample code can be built with the project CMake
2023-04-26 12:13:16 +03:00
Alexander Alekhin d4f29a6361 Merge pull request #23541 from cudawarped:fix_3474 2023-04-25 21:58:54 +00:00
Abduragim Shtanchaev 3b1ee0549b added test for lstm without hidden
states initialization
2023-04-25 16:01:13 +03:00
cudawarped 871f931e95 VideoCapture: apply bitstream filter to all h264/5 raw streams 2023-04-25 13:52:28 +03:00
Alexander Smorkalov e3e1f704a4 Merge pull request #23528 from WanliZhong:issue23278
DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda
2023-04-24 19:31:55 +03:00
Alexander Smorkalov d19a05734e Merge pull request #23535 from komakai:fix_ocl_device_isintel
Fix ocl::device::isIntel implementation
2023-04-24 18:55:04 +03:00
Giles Payne 38e35d5137 Fix ocl::device::isIntel implementation 2023-04-24 22:01:53 +09:00
Dmitry Kurtaev aa57833ad5 Merge pull request #23409 from dkurt:dnn_tflite_quant
Import and inference INT8 quantized TFLite model #23409

### Pull Request Readiness Checklist

* Support quantized TFLite models
* Enable fused activations (FP32, INT8)

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1048

![res](https://user-images.githubusercontent.com/25801568/231433201-566b4bd6-ccff-462c-9e74-adbdcdf3648b.png)

on the image, green boxes are from TFLite and red boxes from OpenCV

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-24 13:44:10 +03:00
Abduragim Shtanchaev e4e774d42b Merge pull request #23475 from Abdurrahheem:lstm_fix_initialization
Fix ONNX parser for single-layer LSTM hidden and cell states #23475

### Fix ONNX parser for single-layer LSTM hidden and cell states

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake


This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states.
2023-04-24 13:39:41 +03:00
WU Jia 89c5a7584a Merge pull request #23531 from kaingwade:orbbec_python_sample
Add python sample of how to use Orbbec camera. #23531

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-24 12:12:01 +03:00
Alexander Smorkalov a4a9f56c8b Merge pull request #23513 from komakai:fix_unrecognized_selector
Fix "unrecognized selector" issue in Objective-C/Swift bindings
2023-04-24 11:29:41 +03:00
wanli e4360294c5 make 'abcd op 1b11' broadcast support cuda 2023-04-23 17:46:50 +08:00
Dmitry Matveev 1d02146810 Bump supported ONNX RT version to 1.14.1
- Existing tests pass with the ONNX models mentioned in tests.
2023-04-22 20:15:40 +00:00
Alexander Alekhin 9ab0ff6cf2 Merge pull request #23511 from zihaomu:issue_23465 2023-04-22 04:01:26 +00:00
Zihao Mu 601778e0e6 Merge pull request #22750 from zihaomu:improve_blobFromImage
DNN: Add New API blobFromImageParam #22750

The purpose of this PR:

1. Add new API `blobFromImageParam` to extend `blobFromImage` API. It can support the different data layout (NCHW or NHWC), and letter_box.
2. ~~`blobFromImage` can output `CV_16F`~~

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-21 19:10:17 +03:00
Alexander Smorkalov 810096c276 Merge pull request #23499 from cabelo:yolov4-tiny
ADD weights  yolov4-tiny in models.yml
2023-04-21 15:26:19 +03:00
Alexander Smorkalov e4a29d93fe Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-04-21 10:55:04 +03:00
zihaomu 54e1a8709d fix the bug, disable the fast1x1 when padding is not 0. 2023-04-21 10:55:07 +08:00
Alexander Smorkalov 4c06a721ef Merge pull request #23503 from seanm:issue13729
Fixed undefined left shifting of negative number
2023-04-20 12:10:04 +03:00
Alexander Smorkalov 3113b49159 Merge pull request #23495 from smeng9:4.x
Fix aruco module CORNER_REFINE_CONTOUR parameter gets skipped
2023-04-20 12:02:43 +03:00
Yuantao Feng 3c1fcd5deb Merge pull request #23401 from fengyuentau:fix_cann_layer_support
dnn: Support more operators in CANN backend #23401

This PR adds the support of following layers:

- [x] Sub
- [x] PRelu
- [x] DeConv
- [x] Also warn users if backend is switched back to default if some of the layers are not supported.
- [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-20 10:18:35 +03:00
Abduragim Shtanchaev b3a2444bcf Merge pull request #23501 from Abdurrahheem:additional_lstm_tests
Added LSTM and GRU tests for various batch and input length sizes #23501

Added tests with various sequence length and batch sizes
Test data: https://github.com/opencv/opencv_extra/pull/1057

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-20 10:11:33 +03:00
Alexander Smorkalov 277d64af88 Merge pull request #23518 from mshabunin:security-update
Updated PGP key for security reports
2023-04-20 09:45:51 +03:00
Maksim Shabunin 7bd9dae53d Updated PGP key for security reports 2023-04-19 19:16:55 +03:00
Jindřich Šaršon a33b2bed52 updated mac catalyst target to be compatible with latest xCode / macos 2023-04-19 14:34:52 +02:00
Alexander Smorkalov b0eddeba2d Merge pull request #23506 from MvWouden:patch-1
Fix typos in aruco_detector.hpp
2023-04-18 17:50:55 +03:00
Giles Payne cfa5a270d3 Refactor Mat Converters and Mat QuickLook functionality to avoid "unrecognized selector" error 2023-04-18 21:09:55 +09:00
Milan van Wouden a7c6fedebd Fix typos in aruco_detector.hpp
"corresponging" -> "corresponding"
"Refind" -> "Refine"
2023-04-18 14:00:21 +02:00
Alexander Smorkalov b68aa12572 Merge pull request #23375 from mshabunin:fix-v4l-verify
cmake: fix V4L config verification conflict with OBSENSOR
2023-04-18 13:05:04 +03:00
Sean McBride 47bea69322 Merge pull request #23055 from seanm:sprintf2
* Replaced most remaining sprintf with snprintf
* Deprecated encodeFormat and introduced new method that takes the buffer length
* Also increased buffer size at call sites to be a little bigger, in case int is 64 bit
2023-04-18 09:22:59 +03:00
Sean McBride aa2fabcba5 Fixed undefined left shifting of negative number
Added explicit cast to unsigned before doing the left shift.

This was caught by UBSan which reported things like:

drawing.cpp:361:22: runtime error: left shift of negative value -26214
drawing.cpp:383:22: runtime error: left shift of negative value -78642
2023-04-17 15:39:37 -04:00
keith siilats 8512deb3cc Merge pull request #23436 from siilats:patch-2
Fix python bindings for setCharucoParameters #23436

setCharucoParameters fails in python
Fixes: https://github.com/opencv/opencv/issues/23440

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-17 13:02:27 +03:00
Alessandro de Oliveira Faria (A.K.A. CABELO) 7867da47cf ADD weights yolov4-tiny in models.yml 2023-04-17 02:55:56 -03:00
smeng9 a788cc526b Fix skipped corner refinment branching logic 2023-04-15 20:48:05 +08:00
Alexander Smorkalov aa17f881b1 Merge pull request #23482 from zihaomu:onnx_opset13_split
DNN: support the split node of onnx opset >= 13
2023-04-14 11:59:57 +03:00
fengyuentau 4f99e5ab37 allow null constant_value in Pad and ignore it when loading 2023-04-14 16:50:16 +08:00
fengyuentau 88cacd35c5 support broadcast on axis > 1 for Expand 2023-04-14 15:52:27 +08:00
Alexander Smorkalov 61d255887c Merge pull request #23487 from Gaotianhong:4.x
fix warning in pointPolygonTest
2023-04-13 13:52:43 +03:00
Gaotianhong f1dbc7d724 fix warning in pointPolygonTest 2023-04-13 13:13:27 +08:00
Alexander Alekhin 24387c25db Merge pull request #23484 from AleksandrPanov:fix_warnings_quirc 2023-04-12 17:47:36 +00:00
Alex 1a5820aa01 fix_warnings_quirc 2023-04-12 11:38:53 +03:00
thewoz 097891e311 Merge pull request #23394 from thewoz:Cocoa-Scroll-Wheel
Add scrollWheel to Cocoa #23394

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-12 10:32:46 +03:00
Alexander Smorkalov 1af084cb65 Merge pull request #23477 from TolyaTalamanov:at/handle-multimeta-giebackend
[G-API] Handle meta from multiple inputs in IE backend
2023-04-12 10:17:59 +03:00
Alexander Smorkalov 136121f6ee Merge pull request #22660 from zhouzq-thu:4.x
Fix objectness is not assigned in dnn::region_layer
2023-04-12 09:34:58 +03:00
Alexander Smorkalov ebde9a5e6d Merge pull request #22245 from rprasanth:4.x
#21804 Add opencv_gapi as dep to samples/cpp
2023-04-11 13:56:20 +03:00
TolyaTalamanov 66abbf4122 Compilation fix 2023-04-11 10:33:42 +00:00
TolyaTalamanov 0f984ea0f0 Handle const inputs descs in giebackend 2023-04-11 10:25:52 +00:00
Alexander Smorkalov 3f02c9d5b9 Merge pull request #23310 from hanliutong:fix_hal_compatibility
Fix HAL compatibility layer
2023-04-11 12:43:54 +03:00
Yuantao Feng 4f77434da1 Merge pull request #23476 from fengyuentau:add_note_for_yunet
Add notes for the output format of FaceDetectorYN.detect()

Resolves https://github.com/opencv/opencv/pull/23020#issuecomment-1499010015

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-11 12:39:21 +03:00
zihaomu 51281f8d69 support the split node of onnx opset >= 13 2023-04-11 16:18:50 +08:00
Kumataro d2dbaa4cd1 Merge pull request #23433 from Kumataro:4.x-fix23416
imgcodecs: tiff: Support to encode for CV_32S with compression params

Fix https://github.com/opencv/opencv/issues/23416

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-11 10:50:47 +03:00
souch 88a7e8cdf5 Merge pull request #23417 from souch:souch-fix-parallel-backend-example
fix cmakelists of parallel backend example
closes https://github.com/opencv/opencv/issues/23376
2023-04-11 10:14:55 +03:00
Alexander Alekhin f9ce3f4b91 Merge pull request #23469 from gottagofaster236:use_nv12_for_obs_camera 2023-04-10 13:39:15 +00:00
Alexander Alekhin daf9de7463 Merge pull request #23383 from mshabunin:rvv-scalable-gcc 2023-04-10 13:35:43 +00:00
TolyaTalamanov 8a95f4f0e6 Handle meta for multiple infer inputs 2023-04-10 09:54:26 +00:00
gottagofaster236 d30830d0a6 Use NV12 instead of YUY2 for OBS Virtual Camera. 2023-04-09 01:56:03 +02:00
Alexander Smorkalov f5a92cb43f Merge pull request #22889 from D-Alex:patch-1
core: improve doc for setNumThreads
2023-04-07 16:37:40 +03:00
Alexander Smorkalov 3bcc3e70f1 Extended setNumThreads documentation according to code review. 2023-04-07 13:56:57 +03:00
eplankin fd8b346c3e Merge pull request #23443 from eplankin:3.4
* Update IPPICV binaries (20230330)

* Revert "core(IPP): disable some ippsMagnitude_32f calls"

This reverts commit 8069a6b4f8.

* Reverted changes in norm() and count_non_zero()
2023-04-07 09:14:42 +00:00
Alexander Smorkalov 4c2584d729 Merge pull request #23468 from migdall:migdall-issue-add-is-easier-pyintro-markdown
Python tutorial intro small grammar update
2023-04-07 11:17:33 +03:00
Jesus Noland 72c715ff4f Add is after it to fix grammar mistake 2023-04-06 12:42:15 -07:00
Alexander Smorkalov ce01123db2 Merge pull request #23020 from Wwupup:yunetv2
upgrade FaceDetectorYN to v2
2023-04-06 15:47:19 +03:00
Yuantao Feng 3a83a35ab0 Merge pull request #23296 from fengyuentau:fix_identifying_constant
Fix identifying initializers in ONNX graph simplification #23296

Fixes https://github.com/opencv/opencv/issues/23295

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-06 15:35:31 +03:00
tantei3 8336a96cb9 Merge pull request #23446 from tantei3:bmp_fix
**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1050

For 32 bits per pixel with 3 or 4 channel destination images, apply scale factor and mask to parse BMP files correctly

closes #23445 

### Pull Request Readiness Checklist
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-06 14:34:36 +03:00
Laurent Berger 9742c73254 Merge pull request #23442 from LaurentBerger:tuto_findFile
Fix image loading in tutorials code #23442

Fixes https://github.com/opencv/opencv/issues/23378

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-04-06 13:02:00 +03:00
Alexander Alekhin 793c966c40 Merge pull request #23460 from gottagofaster236:fix_obs_virtual_camera 2023-04-06 08:48:27 +00:00
Alexander Smorkalov dafd9e3408 Merge pull request #23444 from opencv:AnnaPetrovicheva-add-funding-button
Create FUNDING.yml
2023-04-06 10:59:30 +03:00
Maksim Shabunin b12c14514a RISC-V: allow building scalable RVV support with GCC, LLVM 16 support 2023-04-05 14:18:58 +03:00
gottagofaster236 b4e3359448 Fix OBS Virtual Camera capture. 2023-04-05 08:04:35 +02:00
Alexander Smorkalov bac7180e02 Merge pull request #23449 from Zwyx:fix-mat-zeros-rows-cols
Switch `rows` and `cols` in call to Mat.zeros
2023-04-04 11:11:22 +03:00
Alexander Smorkalov 2b32eee3f4 Merge pull request #23451 from Zero2key:4.x
add opencv.js imread function can use OffscreenCanvas
2023-04-04 11:05:53 +03:00
Alexander Smorkalov 51f5ee6f19 Merge pull request #23448 from dmatveev:dm/gapi_fix_standalone_47
G-API: Fix compilation error in Standalone mode
2023-04-03 14:21:31 +03:00
Alexander Smorkalov 66a5ecb7ec Merge pull request #23350 from spikethehobbitmage:4.x
Fix reference counting errors in registerNewType
2023-04-03 14:08:32 +03:00
Zero2key 4e050e85ad add opencv.js imread function can use OffscreenCanvas 2023-04-03 10:33:20 +08:00
Zwyx b34fc422a2 Switch rows and cols in call to Mat.zeros
The correct order is rows then cols:
https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html#a56daa006391a670e9cb0cd08e3168c99
2023-04-02 23:00:21 +08:00
Dmitry Matveev 3871984028 G-API: Fix compilation error in Standalone mode
- Point3f was added to type traits but was missing in the "own" package; fixed.
2023-04-02 17:52:53 +03:00
Alexander Smorkalov 3ac06bf063 Merge pull request #23418 from mshabunin:fix-rvv-07-old
RISC-V: fix hardcoded options in RVV 0.7.1 toolchain file
2023-04-02 12:44:48 +03:00
Alexander Smorkalov 20eee64426 Merge pull request #23390 from just-gull:bugfix.21401.fix-macos-crash-when-keypress-does-nothing
check keydown event characters length on macos
2023-04-02 12:29:55 +03:00
Alexander Smorkalov 85a04185d3 Merge pull request #23410 from Kumataro:3.4-fix23397-step1
imgcodecs: update documentation for imwrite() to support images formats.
2023-04-02 12:06:00 +03:00
Alexander Smorkalov 57460b1e30 Merge pull request #23321 from a-sajjad72:patch-1
fix "ImportError: DLL load failed while importing cv2" while installing from pre-built binaries
2023-04-02 12:00:35 +03:00
Alexander Smorkalov d8c80ff5a4 Merge pull request #23419 from dkurt:onnx_fixes
Several fixes for ONNX importer: Expand, Gather
2023-04-02 11:40:56 +03:00
Sajjad Ali 26ca124150 fix "ImportError: DLL load failed while importing cv2" while installing using pre-built binaries 2023-04-02 10:22:04 +03:00
Anna Petrovicheva 6d93a0e42c Update FUNDING.yml 2023-04-01 18:13:40 +03:00
Anna Petrovicheva 3f7d319fff Create FUNDING.yml 2023-04-01 17:47:40 +03:00
Alexander Smorkalov 3cf367c9c4 Merge pull request #23271 from stefan523:aruco_testcase_fixes
Aruco/Charuco test case fixes for floating point for loops
2023-03-30 11:22:14 +03:00
Alex c643af0b85 fix test 2023-03-29 15:29:56 +03:00
Dmitry Kurtaev 5e1d33329b Several fixes for ONNX importer: Expand, Gather 2023-03-27 22:15:26 +03:00
Maksim Shabunin 9cfced4650 RISC-V: fix hardcoded options in RVV 0.7.1 toolchain file 2023-03-27 18:42:56 +03:00
HAN Liutong a809ae4e88 Fix HAL compatibility layer and modify use cases. 2023-03-27 21:30:47 +08:00
Kumataro 1c6c3dfa8d remove tail whitespace 2023-03-26 18:33:54 +09:00
Kumataro 83a49b4f6a imgcodecs: update documentation for imwrite() to support images formats. 2023-03-26 09:03:16 +09:00
Alexander Smorkalov 352f92e437 Merge pull request #23402 from LaurentBerger:I23400
Typo in enum cv::QuatEnum::EulerAnglesType
2023-03-24 18:11:48 +03:00
Alexander Smorkalov f5fd3e7d65 Merge pull request #23367 from LaurentBerger:msmf_doc
Note for MSMF in doc
2023-03-24 17:16:52 +03:00
unknown ee302b063f Typo in enum cv::QuatEnum::EulerAnglesType 2023-03-24 14:03:14 +01:00
Alexander Smorkalov d7dd014a6e Merge pull request #23399 from AleksandrPanov:aruco_fix_board
Fix create aruco Board in Python
2023-03-24 15:38:53 +03:00
Alexander Smorkalov b56a52c49b Merge pull request #22471 from anna-khakimova:ak/fix_resize4lpi_tests
Increasing tolerance for Preproc4lpiTest set on ARM
2023-03-24 15:31:48 +03:00
Anna Khakimova 0bb84096a2 Fix tolerance for Preproc4lpiTest set 2023-03-24 14:20:22 +03:00
Alexander Smorkalov 36a03dbdbf Merge pull request #23307 from alalek:simd_comparison_fix_misused_64f_guard
core(simd): 64-bit integer EQ/NE without misused 64F guard
2023-03-24 12:46:18 +03:00
Alex 02bdc10062 fix assert, add test 2023-03-24 11:52:05 +03:00
Alexander Smorkalov d3cc507380 Added reference to Media Foundation. 2023-03-23 16:58:22 +03:00
Alexander Smorkalov 1af790ecc3 Merge pull request #23388 from simonlynen:patch-2
Make LineSegmentDetector deterministic by using stable_sort
2023-03-23 16:18:29 +03:00
Alexander Smorkalov 8c64adb000 Merge pull request #23019 from tkram01:sampleIdxFix
Fix for using sampleIdx to limit training data
2023-03-22 11:59:34 +03:00
Sergey Petrenko 6ffe686ba8 check keydown event characters length before returning the pressed character code 2023-03-22 10:24:22 +03:00
Alexander Smorkalov a94cd6d6e8 Merge pull request #23381 from ct2034:fix/typo
two typos
2023-03-22 09:53:37 +03:00
tkram01 ea7efd57d8 Fix for using sampleIdx to limit training data 2023-03-22 09:50:58 +03:00
Christian Henkel c9e42c5050 two typos 2023-03-22 09:17:41 +03:00
Simon Lynen 6033599c88 Make LineSegmentDetector deterministic by using stable_sort for ordering keypoints prior to region growing
This makes LineSegmentDetector deterministic by using stable_sort for ordering points by norm. Without this change the region growing in LSD is non-determinstic and thus the returned lines are changing between invocations.

This is a replacement for https://github.com/opencv/opencv/pull/23370
2023-03-22 04:12:51 +01:00
Alexander Smorkalov a924bbfc30 Merge pull request #23386 from asmorkalov:issue23147
Python tutorial links update
2023-03-21 17:34:39 +03:00
Alexander Smorkalov 0d2f21b51e Merge pull request #23380 from Zero-nnkn:pose_doc
Fix error of `POSE_PAIRS` in pose estimation doc
2023-03-21 15:58:45 +03:00
Alexander Smorkalov 5c5ef9746c Presume original book, update references. 2023-03-21 15:32:21 +03:00
Raj Kachhadiya 42793e16dd Update py_intro.markdown 2023-03-21 15:27:14 +03:00
Alexander Smorkalov a4ff46aab7 Merge pull request #23250 from tintou:./tintou/glib-req
highgui: Set hard GLib requirement to >=2.32
2023-03-21 15:22:34 +03:00
Alexander Smorkalov e6bd4c9f85 Merge pull request #23275 from genciberisha:bug/issue-23249_detected_but_not_decoded_bug
Added QR_Code data flip support, flip and retry after first ECC failure
2023-03-21 15:03:30 +03:00
Alexander Smorkalov 0d082ce6fd Merge pull request #23344 from anderskiaer:singlefilejs
Add possibility for disabling inlining `wasm` in `opencv.js`
2023-03-21 15:01:52 +03:00
Dmitry Kurtaev 5df6b4a756 Merge pull request #23325 from dkurt:dnn_input_info
Propagate inputs info for ONNX and TFLite models

### Pull Request Readiness Checklist

Needed for generic applications such as benchmarking pipelines. So OpenCV can tell about the default input shapes specified in the models.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-21 14:50:53 +03:00
Zero-nnkn 8483f2ef2f Fix error of POSE_PAIRS in pose estimation doc 2023-03-21 14:37:45 +03:00
ippei.i a60408cda5 Merge pull request #23300 from ippei-i:CAP_PROP_AUTO_WB-and-CAP_PROP_WHITE_BALANCE_BLUE_U_support_in_CAP_DSHOW
Support VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [OK] I agree to contribute to the project under Apache 2 License.
- [OK] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [OK] The PR is proposed to the proper branch
- [OK] There is a reference to the original bug report and related work
https://github.com/opencv/opencv/issues/19621
https://github.com/opencv/opencv/issues/21408

### Before apply this pull request console output.

before AWB setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

after AWB disable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

after AWB enable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

after Manual WB(and Disable AWB) setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

### After apply this pull request console output.

before AWB setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: 0

after AWB disable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 4000
CAP_PROP_AUTO_WB: 0

after AWB enable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 4000
CAP_PROP_AUTO_WB: 1

after Manual WB(and Disable AWB) setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: 0

### Test Code
[OpenCvVideoCapTest.zip](https://github.com/opencv/opencv/files/10825399/OpenCvVideoCapTest.zip)
2023-03-21 14:29:24 +03:00
Alexander Smorkalov 68926d595c Merge pull request #23377 from LaurentBerger:findsample
use findFile in opengl.cpp sample
2023-03-21 12:58:58 +03:00
Wwupup da3a4dcbc1 upgrade FaceDetectorYN to v2 2023-03-21 12:41:02 +08:00
unknown abfa5c586a use findFile in opengl.cpp sample 2023-03-20 15:44:14 +01:00
Genci Berisha a1b4aa5e88 Added QR_Code data flip support, flip and retry after first EEC failure
Added regression test for the flipped images
2023-03-20 14:26:11 +01:00
Labib Asari c4226f0457 Merge pull request #23196 from labeeb-7z:printOptionInRoiSelector
Added argument to print notice in `roiSelector.cpp`

Related Issue : https://github.com/opencv/opencv/issues/23175

I've added a printNotice argument to `selectROI` (and it's overload) and `selectROIs` functions.
I've also updated the function declarations in `highgui.hpp`.
Tested by building locally.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-20 10:06:57 +03:00
Maksim Shabunin aef1fc087d cmake: fix V4L config verification conflict with OBSENSOR 2023-03-19 10:58:47 +03:00
Alexander Smorkalov 752ac19a2f Merge pull request #23292 from CSBVision:patch-4
Add ENABLE_DELAYLOAD option
2023-03-17 16:53:39 +03:00
unknown a2e04718ec te for MSMF in doc 2023-03-17 13:36:47 +01:00
Alexander Smorkalov 94b3bad3c9 Merge pull request #23356 from TuNanTang:OptimizeFixFitEllipseSample
Optimize&Fix fitEllipse sample
2023-03-17 13:02:14 +03:00
Alexander Smorkalov 2e927c2dbd Merge pull request #23358 from Abdurrahheem:fix_doc_dnn_custom_layers
Minor grammatical fixes to dnn_custom_layers doc file
2023-03-17 12:59:38 +03:00
Abduragim 69fd82fc46 minor grammatical fixes to dnn_custom_layers.md 2023-03-17 10:03:49 +03:00
TuNanTang 68e2df56e7 Optimize&Fix fitEllipse sample
Optimize&Fix fitEllipse sample
2023-03-15 21:30:26 +08:00
Alexander Smorkalov 86fa0308fc Merge pull request #23139 from AleksandrPanov:add_py_charuco_sample
add python charuco sample
2023-03-15 13:22:11 +03:00
Alex 0d455e05c1 add py charuco sample+choriginal.jpg+camera_params 2023-03-15 11:27:55 +03:00
Alexander Smorkalov 924a65413a Merge pull request #23357 from zihaomu:fix_winograd_error_32bit
DNN : fix bug in 32 bit cpu
2023-03-15 11:24:54 +03:00
zihaomu 6bac5453d1 fix bug in 32 bit cpu 2023-03-15 08:24:55 +08:00
Alexander Smorkalov ccbc784195 Merge pull request #23354 from zihaomu:issue_23351
DNN : fix bug in layer fusion
2023-03-14 17:23:25 +03:00
TuNanTang 56a4877e30 Merge pull request #23341 from TuNanTang:3.4
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-03-14 16:09:53 +03:00
Vladimir Ponomarev b204c39815 Merge pull request #23276 from vovka643:flann_corrections
Fixed potential memory leak in flann

Issue #22426

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-14 15:00:44 +03:00
Alexander Smorkalov bb917c8391 Merge pull request #23353 from tingboliao:4.x
Fix bugs of test case failure
2023-03-14 14:42:59 +03:00
zihaomu 386be97ce2 fix bug in layer fusion 2023-03-14 19:06:06 +08:00
tingbo.liao 7d032de7e8 Fix bugs of test case failure
4 failed tests in open_test_dnn listed below:
* Test_Caffe_layers.Conv_Elu/0, where GetParam() = OCV/CPU
* Test_ONNX_layers.ConvResizePool1d/0, where GetParam() = OCV/CPU
* Test_TensorFlow_layers.tf_reshape_nhwc/0, where GetParam() = OCV/CPU
* Test_Torch_layers.net_inception_block/0, where GetParam() = OCV/CPU

In winofunc_AtXA_8x8_f32 and winofunc_BtXB_8x8_f32
implementation, incorrect input parameters cause tests failure.

Add four new different variables for the last four input parameters of
v_transpose4x4 to fix bugs, and update related comments.

Signed-off-by: tingbo.liao <tingbo.liao@starfivetech.com>
2023-03-14 17:05:19 +08:00
Alexander Smorkalov de2f7666fb Merge pull request #23260 from tintou:tintou/gtk-reduce-diff
highgui: Reduce the difference between GTK+2 and GTK+3 version
2023-03-14 09:11:53 +03:00
Spike 95f087cd0b Fix reference counting errors in registerNewType 2023-03-13 23:22:57 -06:00
Alexander Smorkalov 22a52766dc Merge pull request #23343 from zihaomu:fix_test_onnx_conf
DNN Test ONNX: Fix the logic of the test case
2023-03-13 21:48:41 +03:00
Yuantao Feng b94e13c8ae Merge pull request #23319 from fengyuentau:fix_zoo_issue_136
Related issue: https://github.com/opencv/opencv_zoo/issues/136

Features added:

- Support operators with multiple output: ONNX Split.
- Support Slice without steps.

Bugs fixed:

- Wrong settings in ClipByValue (Relu6).
- Wrong calculation of pads in convolution layer (It is wrong generally but only fixed specifically for CANN for now).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-13 21:46:33 +03:00
zihaomu ee3740af00 move global skip out of if loop, and add opencv_deny_list 2023-03-13 22:16:51 +08:00
Alexander Smorkalov 9f2182abbb Merge pull request #23261 from vovka643:3.4
Remove separator between trackbars.
2023-03-13 13:51:56 +03:00
anderskiaer 6c763e1ea5 Add possibility for disabling inlining wasm in opencv.js 2023-03-11 21:03:18 +01:00
Zihao Mu e03e2e7f94 Merge pull request #23192 from zihaomu:clean_up_SIMD_code
### Purpose of this PR:
- Move all dispatch and SIMD code of `convolution layer` into `simd.hpp` file.
- Support Winograd at AVX-only machine.
- Re-name the folder from `fast_conv` to `cpu_kernels`. In the future, we can put other layers of CPU optimization into it, like `GEMM` or `MatMul`.

## Performance Test
Since this patch just focuses on the code style, the performance is expected as the same as before.
Test with the following script: 
`./bin/opencv_perf_dnn '--gtest_filter=*conv*' --gtest_output="xml:../1-0th.xml" --perf_threads=1`

### Test on X86 platform
Min (ms)
|Name of Test|4.x | patch | 4.x vs patch (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.98|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.95|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.97|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.002|1.04|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.002|0.002|0.94|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.040|0.044|0.93|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.010|0.010|1.00|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.106|0.103|1.03|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.041|0.040|1.03|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.340|0.329|1.03|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.590|0.567|1.04|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.374|1.314|1.05|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.715|3.528|1.05|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.181|1.166|1.01|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.689|2.587|1.04|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.754|4.500|1.06|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.612|9.112|1.05|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.000|64.676|1.07|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|20.248|18.451|1.10|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.395|1.392|1.00|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|1.990|1.984|1.00|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.393|1.360|1.02|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.813|1.744|1.04|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.190|1.191|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.286|1.284|1.00|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.295|2.279|1.01|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.322|1.331|0.99|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.784|3.533|1.07|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.838|1.844|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.957|1.959|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.596|2.573|1.01|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.183|4.083|1.02|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.413|2.406|1.00|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.538|2.546|1.00|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.972|2.980|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.452|3.464|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.082|3.105|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.043|3.919|1.03|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.538|5.531|1.00|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.393|3.418|0.99|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.325|4.234|1.02|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.009|5.908|1.02|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.557|6.376|1.03|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|10.114|9.472|1.07|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.373|9.879|1.05|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.782|11.624|1.10|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|90.931|90.552|1.00|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|6.091|5.818|1.05|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|7.083|6.643|1.07|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.054|5.059|1.00|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|5.005|4.931|1.02|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.951|5.065|0.98|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.957|11.293|1.06|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.328|5.250|1.01|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.544|5.292|1.05|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.186|5.893|1.05|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|6.153|5.834|1.05|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.154|8.107|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.699|12.256|1.04|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|11.355|11.217|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.062|17.814|1.07|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.820|6.531|1.04|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.502|13.483|1.08|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.270|6.123|1.02|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|13.173|12.451|1.06|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.326|7.652|1.09|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.605|16.465|1.07|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.675|14.771|1.06|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.420|0.423|0.99|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.788|6.491|1.05|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.456|6.168|1.05|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.263|0.261|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.690|7.398|1.04|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.200|0.202|0.99|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.542|10.464|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.876|10.728|1.01|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.194|6.768|1.06|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|7.099|6.731|1.05|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.147|0.162|0.91|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|18.558|17.141|1.08|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.641|7.219|1.06|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.666|20.999|1.08|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.523|7.921|1.08|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.514|8.109|1.05|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.300|7.878|1.05|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.403|13.131|1.02|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.920|8.357|1.07|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|28.827|27.616|1.04|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|12.895|12.670|1.02|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.120|13.078|1.08|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.541|27.582|1.00|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.367|31.140|1.04|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.934|14.910|1.00|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.289|18.491|0.99|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|37.857|36.845|1.03|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.402|36.566|1.02|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.031|19.164|0.99|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.019|19.135|0.99|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.077|19.400|1.03|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.883|21.302|1.03|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.288|49.851|1.03|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|27.349|28.359|0.96|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|24.915|25.130|0.99|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.488|25.899|0.98|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.346|27.390|1.00|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.033|28.301|0.99|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|50.216|49.970|1.00|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|29.670|29.513|1.01|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|50.565|49.634|1.02|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|37.900|37.814|1.00|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|41.367|39.742|1.04|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|49.128|50.350|0.98|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|79.643|80.645|0.99|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.439|40.895|1.01|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.504|46.220|1.01|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.086|96.842|1.01|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|102.447|97.299|1.05|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|145.047|144.996|1.00|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|206.104|195.543|1.05|


### Test on M1(ARM) platform
|Name of Test|4.x|patch|4.x vs patch (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.97|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.94|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.92|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.003|0.003|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.031|0.031|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.009|0.009|1.00|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.066|1.01|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.102|0.102|1.00|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.328|1.00|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.693|0.747|0.93|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.268|1.266|1.00|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.530|3.581|0.99|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.186|1.188|1.00|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.682|2.683|1.00|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.490|4.501|1.00|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.914|8.938|1.00|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.819|69.876|1.00|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|24.058|22.420|1.07|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.240|2.236|1.00|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.132|3.136|1.00|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.920|1.919|1.00|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.343|2.346|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.234|1.116|1.11|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.109|1.121|0.99|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.197|3.084|1.04|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.123|1.148|0.98|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.836|5.061|0.96|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.535|1.463|1.05|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.756|1.584|1.11|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.821|1.820|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|7.049|6.672|1.06|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.967|1.922|1.02|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.943|1.977|0.98|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.464|2.310|1.07|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.860|2.904|0.98|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.428|2.483|0.98|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|2.955|2.983|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.328|4.484|0.97|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.712|2.778|0.98|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.205|3.331|0.96|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|4.193|4.412|0.95|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|5.026|4.565|1.10|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.490|14.213|1.02|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|14.886|14.003|1.06|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.923|15.184|1.05|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|45.136|41.696|1.08|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.995|4.631|1.08|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.402|6.261|1.02|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.478|3.965|1.13|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.908|3.978|0.98|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.176|4.206|0.99|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|21.509|21.136|1.02|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.426|4.082|1.08|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.098|4.289|0.96|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.646|5.105|0.91|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.746|4.724|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|5.614|5.779|0.97|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|21.909|20.718|1.06|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.256|8.290|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|25.196|23.267|1.08|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.721|5.172|1.11|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.066|18.322|1.10|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.448|4.542|0.98|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.193|19.013|1.01|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|6.009|5.964|1.01|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.169|20.009|1.01|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.584|23.423|0.96|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.372|0.504|0.74|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.426|5.456|0.99|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|4.945|5.221|0.95|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.210|0.261|0.81|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.720|5.997|0.95|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.149|0.161|0.93|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.154|7.225|0.99|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.184|7.223|0.99|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.324|5.343|1.00|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.114|5.238|0.98|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.111|0.121|0.92|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|25.907|26.804|0.97|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.695|5.654|1.01|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.435|27.566|1.00|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.944|6.164|1.13|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|7.180|6.717|1.07|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.817|6.050|1.13|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.225|8.660|1.07|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|7.496|6.625|1.13|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.520|36.056|0.99|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.990|9.702|1.03|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.517|10.746|0.98|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.702|36.731|1.00|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|41.035|38.280|1.07|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.981|10.573|1.04|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.863|12.384|1.04|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.437|54.088|0.93|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|50.650|50.635|1.00|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.696|14.606|1.01|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.201|15.426|1.05|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.061|14.292|1.12|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|17.743|18.250|0.97|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.909|78.165|1.00|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.579|21.879|0.99|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.424|19.589|1.04|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.389|19.461|1.00|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.319|20.358|1.05|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.609|21.826|1.04|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|25.497|25.789|0.99|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.966|22.108|0.99|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|35.883|33.470|1.07|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|31.041|29.314|1.06|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|29.922|28.145|1.06|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|31.624|31.148|1.02|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|38.564|39.164|0.98|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|31.502|30.269|1.04|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|34.248|34.589|0.99|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|130.211|134.120|0.97|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.490|132.874|0.96|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|199.834|200.081|1.00|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|247.346|247.523|1.00|


### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake


```
force_builders=Linux AVX2,Custom Win
build_image:Custom Win=msvs2019
CPU_BASELINE:Custom Win=AVX512_SKX
```
2023-03-10 11:59:49 +03:00
Alexey Shtern c6e5f60525 Merge pull request #23301 from shtern:fix_quaternion
Fixed strict type in slerp and spline; Fixed nlerp usage condition

Fixes #23293

The PR is fixing the issue described in [Issue #23293 ](https://github.com/opencv/opencv/issues/23293)

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-03-10 11:37:43 +03:00
Alexander Smorkalov 29cc675375 Merge pull request #23268 from VadimLevin:dev/vlevin/bindings-io-arg-modifiers-fix
fix: remove extra '/O' modifier for '/IO' arguments
2023-03-10 11:05:03 +03:00
Bhavit Patel 7ea6b356c7 Merge pull request #23305 from bhavitp:fix/calib3d/undistortion_grid
Resolves https://github.com/opencv/opencv/issues/23304

Fixes the incorrect pixel grid
Switches type to double to avoid precision loss as all callers use doubles

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-03-10 09:50:36 +03:00
Vincent Rabaud 8ad8ec679f Merge pull request #22441 from vrabaud:hls_while
In case of huge (and probably invalid) input, make sure we do not
rely only on the while loops for truncation.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
2023-03-07 15:05:38 +03:00
Alexander Alekhin 0052d46b8e Merge pull request #23237 from hzcyf:feature/orbbec_femto_mega_support 2023-03-01 07:13:22 +00:00
Corentin Noël a035608100 highgui: Reduce the difference between GTK+2 and GTK+3 version
Make the GTK+3 API the default one by wrapping the missing GTK+2 functions in defines
Make sure to always guard with GTK_VERSION2 or GTK_VERSION3 to allow future addition
of Gtk4
2023-02-28 00:48:39 +01:00
Alexander Alekhin fe59a5695f core(simd): 64-bit integer EQ/NE without misused 64F guard 2023-02-27 19:51:55 +00:00
CSBVision a5f04f9e17 Add ENABLE_DELAYLOAD option 2023-02-23 11:24:33 +01:00
Alexander Alekhin b3c9842a98 Merge pull request #23287 from alalek:dnn_tflite_fix_illegal_access 2023-02-22 10:22:08 +00:00
Alexander Alekhin 9eb5e39ff3 dnn(tflite): fix wrong axis normalization 2023-02-21 21:20:37 +00:00
Alexander Alekhin 5a227352b4 Merge pull request #23274 from alalek:dnn_flatbuffers_builtin 2023-02-21 18:42:49 +00:00
Alexander Alekhin bdff0949bb dnn(tflite): add 3rdparty flatbuffers with pre-generated schema 2023-02-21 16:06:19 +00:00
Alexander Alekhin 4262127854 Merge pull request #23246 from mshabunin:rvv07-support 2023-02-20 18:06:30 +00:00
Vadim Pisarevsky ca48e217f1 fixed another SIFT constructor (#23272) 2023-02-18 00:07:45 +03:00
Vadim Pisarevsky f48939c2d7 temporarily set "enable_precise_upscale=false" by default to avoid sporadic failures in regression tests (#23270) 2023-02-17 18:57:38 +03:00
Stefan Becker 39e2ebbde4 Aruco/Charuco test case fixes for floating point for loops 2023-02-17 16:45:18 +01:00
Maksim Shabunin 903ec0ec60 RISC-V: support RVV 0.7 in mainline RVV intrinsics 2023-02-17 18:17:11 +03:00
Zihao Mu 20dac7ea48 Merge pull request #23255 from zihaomu:fused_cuda_naryeltwise
DNN: fuse conv+naryEletwise on CUDA backend.
2023-02-17 10:18:13 +00:00
Vadim Levin 642942a72f fix: remove extra '/O' modifier for '/IO' arguments 2023-02-17 13:07:28 +03:00
Vaclav Vavra 923dbcc58f different interpolation by double image (#23124)
* different interpolation by double image

* fixing scaling mapping

* fixing a test

* added an option to enable previous interpolation

* added doxygen entries for the new parameter

* ASSERT_TRUE -> ASSERT_EQ

* changed log message when using old upscale mode
2023-02-17 10:35:54 +03:00
Vladimir Ponomarev 2ab7b7c09e Remove separator between trackbars.
Remove separator between 2 or more trackbars. This separator has zero thickness and creates bags in toolbar.
2023-02-16 15:18:30 +03:00
Alexander Alekhin 6b5be4f1a7 Merge pull request #23247 from lilithgrigoryan:fix-focals-estimation 2023-02-15 15:42:21 +00:00
Anatoliy Talamanov 6c235c8edb Merge pull request #23211 from TolyaTalamanov:at/pipeline-modeling-tool-perf-alignment
[G-API] Pipeline modeling tool: Refactor calculating performance statistics

* Add warmup execution

* Align perf metrics

* Add busy wait mode for source

* Small fix for late frames

* pl_fn to src_fn

* Change show statistics

* Correct warm-up iteration

* Properly calculate drop frames

* Enable frame dropping for streaming mode

* Enable frame dropping for streaming mode

* Fix comments to review

* Fix typos

* Cosmetic
2023-02-15 14:04:14 +03:00
Lilit Grigoryan a87b9fb4b6 Fix focal length estimation from homography matrix 2023-02-14 21:51:09 +03:00
Alexander Alekhin 58d8a2702a Merge pull request #23243 from WanliZhong:accelerate_palm_det 2023-02-14 16:25:02 +00:00
Corentin Noël f1f14ce403 highgui: Set hard GLib requirement to >=2.32
This version has been released 10 years ago.
2023-02-14 13:28:42 +01:00
Dmitry Kurtaev 76350cd30f Merge pull request #23161 from dkurt:dnn_tflite
TFLite models importer

* initial commit

* Refactor TFLiteImporter

* Better FlatBuffers detection

* Add permute before 4D->3D reshape

* Track layers layout

* TFLite Convolution2DTransposeBias layer

* Skip TFLite tests without FlatBuffers

* Fix check of FlatBuffers in tests. Add readNetFromTFLite from buffer

* TFLite Max Unpooling test

* Add skip for TFLite unpooling test

* Revert DW convolution workaround

* Fix ObjC bindings

* Better errors handling

* Regenerate TFLite schema using flatc

* dnn(tflite): more checks, better logging

* Checks for unimplemented fusion. Fix tests
2023-02-13 14:00:20 +00:00
Alexander Alekhin 47293f28cf Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-02-11 18:35:00 +00:00
hzcyf 325fe7e663 add support for Orbbec Femto Mega RGB-D camera 2023-02-11 16:22:35 +08:00
Yannis Guyon 56102737d7 Merge pull request #23131 from y-guyon:align_ptr_intrin_sse
Fix misaligned-pointer-use in intrin_sse.hpp

* Fix misaligned-pointer-use in intrin_sse.hpp

* Use _mm_loadu_si32() instead of memcpy()

* Use CV_DECL_ALIGNED instead of _mm_loadu_si32()
2023-02-10 22:46:21 +00:00
Yuantao Feng c2b7c1f13b Merge pull request #23219 from fengyuentau:add_gelu
Add GELU layer for vision transformers

* add gelu and gelu approximation

* drop setKernelParams
2023-02-10 18:03:29 +00:00
wanli c8f5e228fc release MUL and ADD operator on CUDA 2023-02-10 19:33:59 +08:00
Alexander Alekhin d3c6b85638 Merge pull request #23209 from CSBVision:patch-3 2023-02-09 10:43:52 +00:00
Alexander Alekhin 96a45e842e Merge pull request #23061 from WanliZhong:gemm_cuda
DNN: make GEMM can be supported with transA and transB in CUDA
2023-02-09 00:06:32 +03:00
Ibai Gorordo c280cd7290 Merge pull request #23210 from ibaiGorordo:rect_nfa_bugfix
Fix rect_nfa (lsd)

* Fix missing log_gamma in nfa()

Comparing the nfa function with the function in the binomial_nfa repository (https://github.com/rafael-grompone-von-gioi/binomial_nfa/blob/main/C99/log_binomial_nfa.c#L152), the first log_gamma call is missing.

* Fix rect_nfa pixel index

* Replace std::rotate

* Rename tmp to v_tmp

* Replace auto and std::min_element

* Change slope equality check to int

* Fix left limit check
2023-02-08 17:33:06 +00:00
Alexander Alekhin 44290af516 Merge pull request #23224 from VadimLevin:dev/vlevin/cxx-named-arguments 2023-02-08 17:31:30 +00:00
Alexander Alekhin 649841e6bf Merge pull request #23225 from mshabunin:fix-clang-warnings 2023-02-08 17:28:07 +00:00
Alexander Alekhin 606c80344a Merge pull request #23222 from siilats:patch-1 2023-02-07 15:30:15 +00:00
CSBVision 6ea22535e2 Fixes #23187 (part 1)
Supports delay-loading for Ninja generators and Python bindings.
2023-02-07 09:04:06 +01:00
Maksim Shabunin e4acd74e87 Fix some clang 14 warnings 2023-02-07 01:19:00 +03:00
Vadim Levin b07031b594 feat: named arguments handling in Python interface 2023-02-06 22:14:58 +03:00
Alexander Alekhin 0981814473 Merge pull request #23214 from asmorkalov:as/xcode_warning_supression3.4 2023-02-06 18:29:01 +00:00
Alexander Smorkalov 3d635cb4a7 Warning supression fix for XCode 13.1 and newer. Backport #23203 2023-02-06 11:12:05 +03:00
keith siilats b0aace31ec Update charuco_detector.cpp
Delete the debug print statements accidentally left in
2023-02-05 19:39:25 -05:00
Alexander Alekhin 9eb78eeb18 Merge pull request #23217 from laitingsheng:4.x 2023-02-05 20:08:49 +00:00
Alexander Alekhin 6dfa647f05 Merge pull request #23067 from sashashura:patch-3 2023-02-05 19:50:45 +00:00
Tinson Lai f8f425e34c Change custom_hal.hpp output location 2023-02-03 18:21:15 +08:00
Alexander Smorkalov 206a3fcea8 Merge pull request #23203 from asmorkalov:as/xcode_warning_supression
Supress tones of -Wdeprecated-copy warnings
2023-02-02 18:09:15 +03:00
Alexander Smorkalov c855dcc52f Supressed tones of Wdeprecated-copy that jump out of GTes after XCode update to 13.1 on Mac M1. 2023-02-02 13:54:47 +03:00
Alexander Alekhin cb2052dbfe Merge pull request #23204 from whuaegeanse:fix-sift 2023-02-01 16:52:29 +00:00
whuaegeansea 400572b19f Fix bug 2023-02-01 11:25:31 +08:00
Alexander Alekhin a6b178a3d9 Merge pull request #23198 from mshabunin:fix-rvv-07 2023-01-31 13:11:46 +00:00
wanli 4718a4bf81 make GEMM can be supported with transA and transB in CUDA 2023-01-31 15:14:17 +08:00
Maksim Shabunin 9efaa3cce7 RISC-V/RVV 0.7: v_add/v_sub saturation and avoiding 64-bit register in v_check_ 2023-01-30 23:25:53 +03:00
Alexander Smorkalov ff8af10cfe Merge pull request #23168 from genciberisha/bug/issue-22205_and_23105_encodeStructuredAppend_problem
Fix encodeStructuredAppend() resulting in only one QR code problem, and false output data fix.
2023-01-30 09:15:18 +03:00
Alexander Alekhin cd44aa0bb1 Merge pull request #23162 from zihaomu:issue_23151 2023-01-28 13:00:43 +00:00
Alexander Alekhin d3ae175bca Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-28 10:01:23 +00:00
Rostislav Vasilikhin deaf632881 Merge pull request #23179 from savuor:port34_stddev_calib_fisheye
Backport to 3.4 of the fisheye calibration uncertainty fix

* uncertainties fix

* trailing whitespace

* comment added
2023-01-28 09:56:13 +00:00
Alexander Alekhin c67d4fc633 Merge pull request #23076 from inayd:22012-bugfixFillPoly 2023-01-28 09:55:02 +00:00
zihaomu f45a12439a fix depth wise issue. 2023-01-28 11:41:00 +08:00
Alexander Alekhin bd9d60c4c6 Merge pull request #23185 from y-guyon:parallel_tsan_data_race 2023-01-27 15:10:18 +00:00
Yuantao Feng 4d918ba40b Merge pull request #23047 from fengyuentau:layer_norm
dnn: add layer normalization for vision transformers

* add layer norm onnx parser, impl and tests

* add onnx graph simplifier for layer norm expanded

* handle the case when constants are of type Initializer

* add test case for layer norm expanded with initializers

* use CV_Assert & CV_CheckType in place of CV_Assert_N; use forward_fallback for OCL_FP16

* use const ref / ref in parameters of invoker::run; extract inner const if from nested loop; use size_t in place of ull

* template hasBias

* remove trailing whitespace

* use pointer parameter with null check; move normSize division & mean_square division outside of loop; use std::max to ensure positive value before std::sqrt

* refactor implementation, optimize parallel_for

* disable layer norm expanded

* remove the removal of layer norm optional outputs
2023-01-27 16:35:59 +03:00
Yannis Guyon bf29a4d746 Avoid double-checked locking with TSAN in parallel
Omit the first check of the double-checked locking pattern in
recordException() in parallel.cpp when CV_THREAD_SANITIZER is defined.
This should only slow recordException() down when the thread sanitizer
is used, and avoids the TSAN data race warning.
2023-01-27 13:36:33 +01:00
Genci Berisha 743d4ecf7b generateQR() method data loss fix
Added regression parameterized test for Structure Append mode

final_qr_code clear outside generateQR() method
2023-01-26 23:30:14 +01:00
Alexander Alekhin 52855a39ad Merge pull request #23165 from labeeb-7z:optimizeDistanceTransform 2023-01-25 16:52:46 +00:00
Lilo Huang cb7fe597a5 Merge pull request #23172 from lilohuang:master
Adding HEVC/H265 FourCC support to MSMF video writer

* Adding HEVC/H265 fourcc to MSMF video writer

Adding HEVC/H265 fourcc to MSMF video writer. I have verified it with my own video input stream, and it works well on my workstation.

* Update video io testing

* Adding macro fence to get rid of compiler error

H265/HEVC encoder is only available in Windows or later. https://learn.microsoft.com/en-us/windows/win32/medfound/h-265---hevc-video-encoder

* Update test_video_io.cpp
2023-01-25 04:49:08 +00:00
Alexander Alekhin 8ffc06ff72 Merge pull request #23173 from tomoaki0705:fix_warning_master 2023-01-23 15:33:16 +00:00
Tomoaki Teshima 186c18668c suppress warning 2023-01-23 22:47:43 +09:00
Rostislav Vasilikhin 4009bca59a Merge pull request #23025 from savuor:backport3_stddev_calib_fix
Backport of #22992 to 3.4

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-01-23 14:59:43 +03:00
Alexander Alekhin 18cbfa4a4f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-23 00:11:12 +00:00
Alexander Alekhin b71a168937 Merge pull request #23154 from tomoaki0705:handleNonBitExact 2023-01-21 18:14:25 +00:00
Labib Asari 35c17f35be removed redundant code 2023-01-21 00:16:48 +05:30
Alexander Smorkalov 3085fc6345 Merge pull request #23073 from savuor:fix_graphcut_used_edges_dense
USAC fix: GraphCut fails to allocate big dense matrices
2023-01-20 14:55:40 +03:00
Alexander Alekhin 17e860a288 Merge pull request #16189 from mshabunin:enable-two-channels 2023-01-20 08:51:46 +00:00
Alexander Smorkalov e200b88a5a Merge pull request #23148 from alalek:perf_drop_calibration
perf: drop runtime time adjustment calibration
2023-01-20 11:28:57 +03:00
Tomoaki Teshima 1833b034fe make test tolerate to rounding error 2023-01-19 22:06:52 +09:00
Alexander Alekhin 69020666fe test: reproducible results, enabled 2-channel tests, increased some thresholds 2023-01-19 15:39:33 +03:00
Alexander Alekhin 53144ee0eb perf: drop runtime time adjustment calibration 2023-01-18 22:13:30 +00:00
Alexander Alekhin 952962a111 Merge pull request #23141 from mshabunin:backport-c-cleanup 2023-01-18 14:11:21 +00:00
Alexander Smorkalov c664cf3717 Merge pull request #23145 from savuor:backport34_fix_inf
Backport to 3.4: cvIsInf() fix
2023-01-18 10:07:50 +03:00
Funatomi Takuya dbdd357b0a Extend USAC coverage.
Add `estimateSE2(...)`, `estimateSE3(...)`, `estimateSIM2(...)`, `estimateSIM3(...)` for estimating an geometric transformation with rotation and translation (with scaling for SIM) using USAC: as alternative for `estimateAffinePartial2D` and `estimateAffine3D`.

Modified test module.

Remove unused variables.

Remove initializer of unused variable.

Add interfaces to accept UsacParams() and corresponding test codes.

Revise test code.

PartialNd removed

Umeyama rewritten for code quality & speed

comments & minors

rise number of points

fix, and +30% faster!

only one number should be that big

remove USAC code, leave fix only

big number
2023-01-18 02:12:57 +01:00
Rostislav Vasilikhin f3a03aefad cvIsInf(double) fix + regression test 2023-01-17 23:06:39 +01:00
Maksim Shabunin c1e5c16ff3 Backport C-API cleanup (imgproc) from 5.x 2023-01-16 23:29:50 +03:00
Yuantao Feng c63d79c5b1 Merge pull request #23095 from fengyuentau:fix_omp_macos
* fix openmp include and link issue on macos

* turn off have_openmp if OpenMP_CXX_INCLUDE_DIRS is empty

* test commit

* use condition HAVE_OPENMP and OpenMP_CXX_LIBRARIES for linking

* remove trailing whitespace

* remove notes

* update conditions

* use OpenMP_CXX_LIBRARIES for linking
2023-01-16 12:44:13 +03:00
Alexander Alekhin a9d02f096e Merge pull request #23126 from cudawarped:fix_issue_3412 2023-01-13 13:08:27 +00:00
Ihsan Soydemir 6a7d54f550 Merge pull request #23128 from Isydmr:update-fastNlMeansDenoising-documentation
Fix broken paper link for fastNlMeansDenoising

* Fix broken link

* Move citation to `opencv.bib`

* Cite researchgate reference

* Correct citation label

* Use semantic scholar BibTex
2023-01-12 19:54:40 +03:00
Alexander Alekhin 3d5e3a910f Merge pull request #23096 from zihaomu:issue_23074 2023-01-12 00:51:04 +00:00
Xxfore ef0fcb9238 Merge pull request #22938 from Xxfore:4.x
Use reinterpret instead of c-style casting for GCC

Co-authored-by: Xu Zhang <xu.zhang@hexintek.com>
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
2023-01-11 14:11:16 +00:00
cudawarped b5bf756ca0 core: define cuda test size with row/col of 1 2023-01-11 14:52:46 +02:00
Alexander Smorkalov ad8f8b0c8c Merge pull request #23087 from lukasalexanderweber:4.x
add GraphCutSeamFinder to stitching_detailed.py
2023-01-11 10:29:21 +03:00
zihaomu 840b1d5c94 add depthwise add fuse 2023-01-11 08:42:51 +08:00
Alexander Alekhin 974102bc7f Merge pull request #23120 from alalek:fixup_22246_2 2023-01-10 10:01:17 +00:00
Alexander Alekhin 5bacd8753b build: eliminate GCC9 warning from sift.simd.hpp 2023-01-10 01:38:12 +00:00
Alexander Alekhin cbc9745b79 Merge pull request #23111 from Yeatse:fix-apple-silicon-build 2023-01-09 19:39:05 +00:00
Alexander Alekhin 65c2d6a2be Merge pull request #23112 from zihaomu:fix_x86_winograd 2023-01-09 19:37:29 +00:00
Alexander Smorkalov b16a4ba25b Merge pull request #23062 from cudawarped:cuda_add_lovelace_hopper
CUDA: add Ada Lovelace and Hopper CC
2023-01-09 20:36:33 +03:00
cudawarped 927aa1e617 cuda: add ada lovelace and hopper cuda arch 2023-01-09 15:44:37 +02:00
Alexander Smorkalov fdf2151d9f Merge pull request #23114 from smeng9:4.x
fix typo: stetDictionary to setDictionary
2023-01-09 16:14:47 +03:00
Yang Chao e0aa677388 Open CV_CPU_NEON_DOTPROD on Apple silicon devices 2023-01-09 19:27:35 +08:00
Alexander Alekhin 2ab46d9553 Merge pull request #23117 from alalek:test_skip_sporadic_23116 2023-01-09 11:06:37 +00:00
Alexander Alekhin 36815fe3f3 videoio(test): skip unstable Media.audio test 2023-01-09 10:06:10 +00:00
Christoph Rackwitz a64b51dd94 Merge pull request #23108 from crackwitz:issue-23107
Usage of imread(): magic number 0, unchecked result

* docs: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()

* samples, apps: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()

* tests: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()

* doc/py_tutorials: check imread() result
2023-01-09 09:55:31 +00:00
Alexander Alekhin 55534eeb06 copyright: 2023 (update) 2023-01-09 09:49:22 +00:00
smeng9 b5a0d2b580 fix typo: stetDictionary to setDictionary 2023-01-08 23:58:54 -06:00
zihaomu 82616eec41 fix possible segmentation fault error in winograd on x86 2023-01-09 13:40:04 +08:00
Alexander Alekhin 7e52003533 copyright: 2023 2023-01-08 18:19:37 +00:00
Alexander Alekhin 7b7774476e copyright: 2023 2023-01-08 18:18:37 +00:00
Lukas Weber 4df6e39bab add GraphCutSeamFinder 2023-01-03 22:45:49 +01:00
inayd 54449b614b Fix occuring artifacts in fillPoly 2023-01-03 16:29:13 +01:00
Alex a2fc479c0b Fix Heap-buffer-overflow READ in opj_jp2_apply_pclr
https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=47342

The read overflow triggered by reading `src[j]` in
```cpp
            for (j = 0; j < max; ++j) {
                dst[j] = src[j];
            }
```
The max is calculated as `new_comps[pcol].w * new_comps[pcol].h`, however the `src = old_comps[cmp].data;` which may have different `w` and `h` dimensions.
2022-12-30 15:43:41 +00:00
Alexander Alekhin 9208dcb07c Merge tag '4.7.0' 2022-12-28 15:23:46 +00:00
Alexander Smorkalov 725e440d27 release: OpenCV 4.7.0 2022-12-28 17:31:52 +03:00
Alexander Panov 121034876d Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect
merge with https://github.com/opencv/opencv_contrib/pull/3394

move Charuco API from contrib to main repo:

- add CharucoDetector:
```
CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds, 
                             OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners
CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners,
                                InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners,
                                OutputArray _diamondIds) const
```

- add `matchImagePoints()` for `CharucoBoard`
- remove contrib aruco dependencies from interactive-calibration tool
- move almost all aruco tests to objdetect

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2022-12-28 17:28:59 +03:00
Alexander Alekhin 9627ab9462 Merge pull request #23050 from zihaomu:fix_memory 2022-12-28 10:04:25 +00:00
Alexander Alekhin 499035c6ea Merge pull request #23049 from alalek:issue_23048 2022-12-28 09:54:16 +00:00
zihaomu 71765858dc fix invalid memory access 2022-12-28 17:16:11 +08:00
Alexander Alekhin 9a2a34f94e dnn(openvino): remove undefined status 2022-12-28 06:55:00 +00:00
Alexander Alekhin 838c34eee1 Merge pull request #23043 from AlejandroSilvestri:patch-1 2022-12-27 15:33:14 +00:00
AlejandroSilvestri 253429d3f1 Add missing ORB.setFastThreshold(int) method
ORB constructor is failing to set the very important protected parameter fastThreshold,
so binding this method is necessary.
2022-12-27 09:39:56 -03:00
Alexander Alekhin 38f7cd7173 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-27 08:58:28 +00:00
Alexander Alekhin eab7faf536 Merge tag '3.4.19' 2022-12-27 08:41:49 +00:00
Alexander Alekhin 83391ac59d release: OpenCV 3.4.19 2022-12-27 03:50:12 +00:00
Alexander Alekhin a8a93a57e7 Merge pull request #23029 from savuor:backport3_fix_fisheye_aspect_ratio 2022-12-27 03:47:01 +00:00
Alexander Alekhin f637629c5a Merge pull request #23037 from cudawarped:fix_for_cuda_12 2022-12-27 03:43:59 +00:00
Rostislav Vasilikhin 93aa94e71e backported changes
no lambda

whitespace

fixing build Java tests
2022-12-27 00:54:39 +01:00
Alexander Alekhin 86b46a27cf Merge pull request #23039 from alalek:cmake_3.5_fix 2022-12-26 20:31:39 +00:00
Alexander Alekhin 1bc3077890 cmake: VERSION_GREATER_EQUAL is not supported in CMake 3.5.1 2022-12-26 17:41:53 +00:00
Alexander Alekhin fc27a343e9 Merge pull request #22905 from zihaomu:clean_up_conv3d_1d 2022-12-26 17:39:18 +00:00
cudawarped 692d6168b3 cuda: fix CUDA 12.0 build errors 2022-12-26 15:25:29 +02:00
Alexander Alekhin de9787a6ac Merge pull request #23036 from asmorkalov:as/blobdetect_range_fix 2022-12-26 12:47:45 +00:00
Alexander Smorkalov d2bf2be8e6 Merge pull request #23035 from alalek:update_ffmpeg_4.x
ffmpeg/4.x: update FFmpeg wrapper 2022.12
2022-12-26 15:04:55 +03:00
Alexander Smorkalov b7292bc899 Fixed blob detector parameters range. 2022-12-26 15:02:24 +03:00
Alexander Alekhin dbd4a0e5e6 videoio(ffmpeg): update tests with new Windows wrapper 2022-12-26 02:32:11 +00:00
Alexander Alekhin b361209d52 ffmpeg/4.x: update FFmpeg wrapper 2022.12
- FFmpeg 4.4.3
2022-12-25 18:55:19 +00:00
Alexander Alekhin 4abe6dc48d Merge pull request #22972 from alalek:update_version_4.7.0-pre 2022-12-25 18:40:27 +00:00
Alexander Alekhin 26f36f2ff9 Merge pull request #22971 from alalek:update_version_3.4.19-pre 2022-12-25 18:39:54 +00:00
Alexander Alekhin b42c11de82 pre: OpenCV 4.7.0 (version++) 2022-12-25 17:00:22 +00:00
Alexander Alekhin a494c75bfe pre: OpenCV 3.4.19 (version++) 2022-12-25 16:59:47 +00:00
Alexander Alekhin bc8c912c7a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-24 13:54:58 +00:00
Alexander Alekhin 5247237bf0 Merge pull request #23028 from zihaomu:update_doc_nanotrack 2022-12-24 11:16:46 +00:00
zihaomu 8e6aae0d7a Add spaces to make links clickable. 2022-12-24 15:26:42 +08:00
Dmitry Kurtaev 8681686d8f Merge pull request #22957 from dkurt:new_openvino_api
Switch to new OpenVINO API after 2022.1 release

* Pass Layer_Test_Convolution_DLDT.Accuracy/0 test

* Pass test Test_Caffe_layers.Softmax

* Failed 136 tests

* Fix Concat. Failed 120 tests

* Custom nGraph ops. 19 failed tests

* Set and get properties from Core

* Read model from buffer

* Change MaxPooling layer output names. Restore reshape

* Cosmetic changes

* Cosmetic changes

* Override getOutputsInfo

* Fixes for OpenVINO < 2022.1

* Async inference for 2021.4 and less

* Compile model with config

* Fix serialize for 2022.1

* Asynchronous inference with 2022.1

* Handle 1d outputs

* Work with model with dynamic output shape

* Fixes with 1d output for old API

* Control outputs by nGraph function for all OpenVINO versions

* Refer inputs in PrePostProcessor by indices

* Fix cycled dependency between InfEngineNgraphNode and InfEngineNgraphNet.
Add InferRequest callback only for async inference. Do not capture InferRequest object.

* Fix tests thresholds

* Fix HETERO:GPU,CPU plugin issues with unsupported layer
2022-12-23 16:58:41 +00:00
Alexander Smorkalov 9012e6dd9b Merge pull request #22965 from vrabaud:numpy_fix
Remove references to deprecated NumPy type aliases.
2022-12-23 15:34:02 +03:00
Alexander Alekhin 139bd30247 Merge pull request #22962 from stopmosk:20465-dstchannels-does-not-cover-all-color-codes-1 2022-12-23 11:41:31 +00:00
Alexander Smorkalov 4930516652 Merge pull request #22898 from fengyuentau:slice_neg_steps
dnn: support ONNX Slice with negative steps by adding and using cv::flipND
2022-12-23 14:15:06 +03:00
Vincent Rabaud ad568edd7f Remove references to deprecated NumPy type aliases.
This change replaces references to a number of deprecated NumPy
type aliases (np.bool, np.int, np.float, np.complex, np.object,
np.str) with their recommended replacement (bool, int, float,
complex, object, str).

Those types were deprecated in 1.20 and are removed in 1.24,
cf https://github.com/numpy/numpy/pull/22607.
2022-12-23 13:53:49 +03:00
Maxim Milashchenko 62b3a20da5 Merge pull request #22930 from MaximMilashchenko:gstreamer_support
Support one-time audio video reading

* stream switching functionality

* audio+video pipeline with switch stream functionality

* audio video sync

* fixed sync

* removed switch swtream functionality

* changed test for gstreamer audio

* fixed error

* fixed error

* fixed issue

* fixed issue

* fixed error

* fixed error

* fixed error
2022-12-23 10:15:22 +00:00
Alexander Alekhin 1f41d06f9a Merge pull request #23008 from mshabunin:fix-yolov4-tiny-hash 2022-12-23 10:14:25 +00:00
Sergei Shutov 1339c7f30c Define the number of dstChannels for Lab, Luv, YCrCb and XYZ conversions 2022-12-23 12:04:30 +02:00
Alexander Smorkalov 734fb18c4d Merge pull request #23017 from asmorkalov:as/qrcode_valgrind
Valgrind issues fix in QRCode detector.
2022-12-23 12:10:29 +03:00
zihaomu 71c6339af0 remove old convolution branch, and optimize conv3d and conv1d. 2022-12-23 16:50:28 +08:00
fengyuentau 34a0897f90 add cv::flipND; support onnx slice with negative steps via cv::flipND 2022-12-23 16:39:53 +08:00
Alexander Smorkalov a32100d9ba Valgrind issues fix in QRCode detector. 2022-12-23 10:50:31 +03:00
Alexander Alekhin b5400902a7 Merge pull request #23002 from alalek:issue_22206
* obj-c: de-duplicate values of nested enums

- prefix with outer class name

* obj-c: handle enum names change in assigned values

* obj-c: switch on 'const_fix'

* obj-c: add NS_SWIFT_NAME
2022-12-22 14:01:21 +00:00
Maksim Shabunin d35fbe6bfc dnn: updated YOLOv4-tiny model and tests 2022-12-22 15:49:21 +03:00
Alexander Smorkalov 645930387c Merge pull request #23012 from cudawarped/fix_win32_cuda_warning
Fix nvcc compile errors when built against CUDA SDK < 11.2
2022-12-22 14:05:35 +03:00
Alexander Smorkalov 44dfe62af0 Merge pull request #22914 from tozanski:tomoz/ransac-bugfix
Bugfix for solvePnPRansac with SOLVEPNP_ITERATIVE
2022-12-22 11:58:14 +03:00
Alexander Alekhin 4acb267cf4 Merge pull request #23014 from alalek:ffmpeg_default_threads 2022-12-22 07:57:24 +00:00
Alexander Alekhin 8676d19dc3 videoio(ffmpeg): limit number of default threads 2022-12-22 04:45:29 +00:00
Alexander Alekhin 6b4f3e5fab Merge pull request #22993 from alalek:fixup_21738 2022-12-21 19:50:51 +00:00
Alexander Alekhin dafc4e456d Merge pull request #23004 from erasta:patch-2 2022-12-21 19:49:38 +00:00
Alexander Alekhin 2a884cc179 Merge pull request #23013 from vrabaud:mertens_fix 2022-12-21 19:45:58 +00:00
Vincent Rabaud b774753922 Fix self converTo.
We still need images[i] = img because it is used below in buildPyramid.
2022-12-21 18:28:26 +01:00
cudawarped 5e03305da5 build: only disable win32 cuda warnings on CUDA SDK >= 11.2 2022-12-21 17:09:41 +02:00
Alexander Smorkalov 3ff1ec99ac Merge pull request #23009 from asmorkalov:as/aruco_js_update2
Update Javascript bindings for Aruco after migration
2022-12-21 17:43:09 +03:00
Marco Feuerstein bc8d494617 Merge pull request #22959 from feuerste:parallel_mertens
Parallelize implementation of HDR MergeMertens.

* Parallelize MergeMertens.

* Added performance tests for HDR.

* Ran clang-format.

* Optimizations.

* Fix data path for Windows.

* Remove compiiation warning on Windows.

* Remove clang-format for existing file.

* Addressing reviewer comments.

* Ensure correct summation order.

* Add test for determinism.

* Move result pyramid into sync struct.

* Reuse sync for first loop as well.

* Use OpenCV's threading primitives.

* Remove cout.
2022-12-21 14:10:59 +00:00
Alexander Alekhin 35e771daab Merge pull request #22999 from mshabunin:ffmpeg-valgrind-supp 2022-12-21 14:08:35 +00:00
Alexander Smorkalov 1ab259df9a Merge pull request #23005 from alalek:objdetect_cleanup_aruco_ptr_filestorage
aruco(cleanup): don't use Ptr<FileStorage>
2022-12-21 16:45:14 +03:00
augustinmanecy 0bd54a60e9 Merge pull request #20367 from augustinmanecy:features2d-rw
**Merge with contrib**: https://github.com/opencv/opencv_contrib/pull/3003

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [ ] There is reference to original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2022-12-21 16:03:00 +03:00
Alexander Smorkalov 63b6b24cd0 Merge pull request #22967 from stopmosk:usac-maxiters-bugfix
Fix maxIter parameter in usac findEssentialMat
2022-12-21 15:58:44 +03:00
Maksim Shabunin 8e49560709 valgrind: suppressed FFV1 16 bit issue in avcodec-57 2022-12-21 15:49:03 +03:00
Alexander Smorkalov b8f57c9a96 Update Javascript bindings for Aruco after migration 2022-12-21 15:46:04 +03:00
Alexander Alekhin c6a15e1835 aruco(cleanup): don't use Ptr<FileStorage> 2022-12-21 10:52:43 +00:00
Eran Geva 05f4416ba0 SourceForge folder update
The folder `http://sourceforge.net/projects/opencvlibrary/files/opencv-win/` is stale and wasn't updated since 2018. The parent folder `http://sourceforge.net/projects/opencvlibrary/files/` has fresh windows install exe files.
2022-12-21 12:26:07 +02:00
Alexander Smorkalov 91ac790249 Merge pull request #23001 from alalek:videoio_init_vars
videoio(v4l): initialize variables
2022-12-21 09:56:55 +03:00
Sergei Shutov 3cfe737581 Fix hardcoded maxIters 2022-12-21 09:51:59 +03:00
Yuantao Feng a2b3acfc6e dnn: add the CANN backend (#22634)
* cann backend impl v1

* cann backend impl v2: use opencv parsers to build models for cann

* adjust fc according to the new transA and transB

* put cann net in cann backend node and reuse forwardLayer

* use fork() to create a child process and compile cann model

* remove legacy code

* remove debug code

* fall bcak to CPU backend if there is one layer not supoorted by CANN backend

* fix netInput forward
2022-12-21 09:04:41 +03:00
Alexander Alekhin f4b23de9dd videoio(v4l): initialize variables 2022-12-21 03:28:09 +00:00
Alexander Alekhin a08c98cdfb Merge pull request #22995 from alalek:dnn_fix_opencl_matmul 2022-12-20 14:52:35 +00:00
Alexander Smorkalov 279e2be56b Merge pull request #22963 from cudawarped:replace_texture_ref_with_texture_obj
Replace all instances of CUDA texture references with texture objects
2022-12-20 15:07:10 +03:00
Alexander Alekhin cdbb893b27 dnn: disable OpenCL code path in MatMul processing
- this mode is not supported by 22828
2022-12-20 09:46:48 +00:00
Alexander Alekhin 41d172f22d Merge pull request #22994 from alalek:gapi_build_issues 2022-12-20 09:42:16 +00:00
Alexander Alekhin 3f7ec99166 build: eliminate build warnings on Ubuntu 20.04/16.04 2022-12-20 06:46:30 +00:00
Alexander Alekhin 1102b7eff8 dnn: fix gather layer implementation
- support FP16 data
2022-12-20 06:09:34 +00:00
Alexander Alekhin da43778c1f Merge pull request #22981 from alalek:core_freeze_cache_dir_prefix_4.x 2022-12-19 17:29:57 +00:00
cudawarped 9aa5ab7557 cv::cuda: Replace all instances of texture references/objects with texture objects using the existing updated cv::cudev::Texture class.
Fixes bugs in cv::cuda::demosaicing, cv::cuda::resize and cv::cuda::HoughSegmentDetector.
2022-12-19 19:28:15 +02:00
Alexander Alekhin d44c58a1fb Merge pull request #22988 from vrabaud:mm_pause_fix 2022-12-19 17:06:50 +00:00
Vincent Rabaud 7463e9b8bb Even faster CV_PAUSE on SkyLake and above.
No need to loop as RDTSC is 3/4 times faster than _mm_pause.
2022-12-19 14:15:34 +01:00
Alexander Smorkalov 9f201a8ebe Merge pull request #22979 from alalek:fix_videio_test_limit_threads
videoio(test): reduce number of test threads
2022-12-19 10:01:43 +03:00
Alexander Alekhin 91998d6424 Merge pull request #22935 from alalek:gapi_error
G-API: replace GAPI_Assert() with 'false' and '0' to GAPI_Error()

* gapi: GAPI_Error() macro

* gapi: replace GAPI_Assert() with 'false' and '0' to GAPI_Error()

* build: eliminate 'unreachable code' after CV_Error() (MSVC 2015)

* build: eliminate 'unreachable code' warning for MSVS 2015/2017

- observed in constructors stubs with throwing exception
2022-12-19 06:05:15 +00:00
Alexander Alekhin 420db56ffd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-18 02:17:17 +00:00
Alexander Alekhin 07ed5e5346 Merge pull request #22980 from alalek:samples_python_3.11 2022-12-18 02:07:46 +00:00
Alexander Alekhin 4824ce300f core: freeze cache directory prefix - "4.x" 2022-12-18 00:24:52 +00:00
Alexander Alekhin 5855eba9f3 samples: query for Python 3.11 setup 2022-12-18 00:14:41 +00:00
Alexander Alekhin cdaf4c7321 videoio(test): reduce number of test threads 2022-12-18 00:02:07 +00:00
Alexander Alekhin eace6adb6d Merge pull request #22934 from alalek:fix_filestorage_binding 2022-12-17 03:28:13 +00:00
Alexander Smorkalov 6db9fcbc30 Merge pull request #22880 from cudawarped:remember_cudacodec_lib_locations
Prevent cudacodec libs locations being reset when cmake is re-run
2022-12-16 12:30:03 +03:00
Alexander Panov b4b35cff15 Merge pull request #22368 from AleksandrPanov:move_contrib_aruco_to_main_objdetect
Megre together with https://github.com/opencv/opencv_contrib/pull/3325

1. Move aruco_detector, aruco_board, aruco_dictionary, aruco_utils to objdetect
1.1 add virtual Board::draw(), virtual ~Board()
1.2 move `testCharucoCornersCollinear` to Board classes (and rename to `checkCharucoCornersCollinear`)
1.3 add wrappers to keep the old api working
3. Reduce inludes
4. Fix java tests (add objdetect import)
5. Refactoring

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

```
**WIP**
force_builders=linux,win64,docs,Linux x64 Debug,Custom
Xbuild_contrib:Docs=OFF

build_image:Custom=ubuntu:22.04
build_worker:Custom=linux-1
```
2022-12-16 12:28:47 +03:00
hzc 47fb79bd8c Merge pull request #22936 from hzcyf:orbbec_new_cam_support
videoio: add Orbbec Gemini 2 and Astra 2 camera support

### Test Result

| OS | Compiler | Camera | Result |
|-----|-----------|---------|--------|
|Windows11| (VS2022)MSVC17.3|Orbbec Gemini 2|Pass|
|Windows11| (VS2022)MSVC17.3|Orbbec Astra 2|Pass|
|Ubuntu22.04|GCC9.2|Orbbec Gemini 2|Pass|
|Ubuntu22.04|GCC9.2|Orbbec Astra 2|Pass|

### Pull Request Readiness Checklist
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] The feature is well documented and sample code can be built with the project CMake
2022-12-16 12:23:12 +03:00
Alexander Smorkalov 6b50410336 Merge pull request #22966 from vrabaud:mm_pause_fix
Fix slower CV_PAUSE on SkyLake and above.
2022-12-16 12:19:24 +03:00
Alexander Alekhin 6e3700593f compatibility: keep Ptr<FileStorage> stubs till OpenCV 5.0 2022-12-16 00:47:44 +00:00
Alexander Alekhin 6a8c5a1d27 python: resolve Ptr<FileStorage> requirement issue 2022-12-16 00:47:44 +00:00
Parthiban Marimuthu 50da209dc4 Merge pull request #22907 from partheee:patch-1
* Update windows_install.markdown

Fixing Issue - #22053 Inaccuracy in the tutorial for installation for Windows

* Update windows_install.markdown #22907

Changed all changes mentioned in the comments

* Update windows_install.markdown #22907

* fix whitespace, update configurations order (64-bit goes first)

- x86 is optional and not available by default in packages
2022-12-15 21:52:08 +00:00
Vincent Rabaud b7b08fa0c3 Fix slower CV_PAUSE on SkyLake and above.
This is fixing https://github.com/opencv/opencv/issues/22852
2022-12-15 14:18:57 +01:00
cudawarped b1288dad40 Enable cudacodec libs by default, prevent their locations being lost when cmake is re-run and add log info when the libs/headers cannot be found. 2022-12-15 15:01:31 +02:00
Alexander Smorkalov ac6fb17784 Merge pull request #22828 from WanliZhong:improve_matmul
DNN: make MatMul support 3D or 4D with broadcast
2022-12-15 13:36:22 +03:00
Alexander Smorkalov 3f22f4727c Merge pull request #22919 from asmorkalov:as/gstreamer_read_timeout
Address https://github.com/opencv/opencv/issues/22868
Used the same defaults as it's done for FFmpeg

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake


```
force_builders=Custom
build_image:Custom=gstreamer:16.04
buildworker:Custom=linux-1
```
2022-12-15 12:53:22 +03:00
Alexander Smorkalov 0153e796cc Merge pull request #22891 from AleksandrPanov:qr_add_alignment
Use QR code alignment markers
2022-12-15 09:39:58 +03:00
zoom 4891818114 make MatMul support 3D or 4D with broadcast 2022-12-15 10:36:08 +08:00
Alexander Alekhin db4a557187 Merge pull request #22951 from zihaomu:update_nanotrack_comment 2022-12-14 21:21:49 +00:00
Alexander Alekhin 04c3a534af Merge pull request #22958 from asmorkalov:as/ffmpeg_missing_include 2022-12-14 21:16:07 +00:00
AleksandrPanov a32143003d add alignment detect 2022-12-14 23:56:57 +03:00
Sergei Shutov 8bd17163c7 Merge pull request #22939 from stopmosk:21826-python-bindings-for-videocapturewaitany
Add Python bindings for VideoCapture::waitAny #21826

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2022-12-14 22:15:02 +03:00
Alexander Smorkalov 81aaca8c04 Merge pull request #22675 from CSBVision:patch-2
Update OpenCVDetectCUDA.cmake
2022-12-14 15:41:34 +03:00
Alexander Smorkalov 189e1b228d Fix missing FFmpeg include needed for av_get_pix_fmt_name 2022-12-14 13:09:37 +03:00
Alexander Smorkalov 52709c7771 Merge pull request #22954 from VadimLevin:dev/vlevin/fix-merge-artifacts-in-python-misc-tests
fix: remove function duplicates in test_misc.py
2022-12-14 09:42:43 +03:00
zihaomu 7dbb125a34 add nanotrack v2 at regression test. 2022-12-14 14:41:49 +08:00
Alexander Smorkalov aff375808d Merge pull request #22955 from VadimLevin:dev/vlevin/handle-properties-with-keyword-names
fix: add _ suffix to properties having reserved keyword names
2022-12-14 09:35:07 +03:00
Vadim Levin 3f5f09e730 fix: add _ suffix to properties having reserved keyword names 2022-12-13 20:56:39 +03:00
CSBVision 332ff4bf1c Update OpenCVDetectCUDA.cmake
Adds the option to enable delay loading of CUDA DLLs on Windows. This is particularly useful to use the same binary on systems with and without CUDA support without distributing the CUDA DLLs to systems that cannot use them at all due to missing CUDA-supported hardware.
Resolves #13509
2022-12-13 17:40:53 +01:00
Vadim Levin 253a4c113e fix: remove function duplicates in test_misc.py 2022-12-13 19:14:52 +03:00
Alexander Smorkalov 1788c93aea Merge pull request #22924 from alalek:logger_strip_base_dir
core(logger): strip opencv's modules base path
2022-12-13 15:28:10 +03:00
Alexander Smorkalov c2ecbc76ce Merge pull request #22946 from VadimLevin:dev/vlevin/avfoundation-stable-multicamera-index
fix: AVFoundation inconsistent camera indices
2022-12-13 10:34:42 +03:00
Alexander Alekhin 4203c903f8 Merge pull request #22928 from alalek:riscv_toolchains 2022-12-13 06:32:16 +00:00
Vadim Levin 727feda935 fix: AVFoundation inconsistent camera indices 2022-12-12 17:15:46 +03:00
Alexander Alekhin 39087fecdc Merge pull request #22942 from alalek:videoio_test_update_hw_checks
* videoio(test): update PSNR check for H264/265

* videoio(test): reduce size for ffmpeg tests on 32-bit platforms
2022-12-12 12:38:14 +00:00
Alexander Alekhin c725771e11 build(riscv): suppress massive -Wignored-attributes warnings 2022-12-11 17:10:00 +00:00
Alexander Alekhin 103212f209 Merge pull request #22940 from alalek:build_warnings_msvc 2022-12-10 14:42:13 +00:00
Alexander Alekhin be326ff752 build: fix/eliminate MSVC warnings 2022-12-10 12:19:31 +00:00
Alexander Alekhin ebaee3ea21 Merge pull request #22937 from asmorkalov:as/issue_22893 2022-12-09 17:11:51 +00:00
Alexander Smorkalov 423bc515e5 Integer underflow fix for morphologyEx in Carotene (arm). 2022-12-09 18:08:22 +03:00
Alexander Alekhin 941d89e06d cmake: fix RISC-V toolchains
- RVV options are moved to configuration scripts instead of toolchains
2022-12-09 12:02:28 +00:00
Alexander Alekhin 281b790618 Merge pull request #22922 from alalek:fix_riscv_intrin_rvv 2022-12-08 22:07:46 +00:00
Alexander Alekhin f5d7c5f103 Merge pull request #22932 from alalek:cmake_drop_libjpeg_simd_warning 2022-12-08 22:07:30 +00:00
Alexander Alekhin 93c4bca04d Merge pull request #22933 from alalek:fixup_22894 2022-12-08 22:07:04 +00:00
Alexander Alekhin 726f0adde3 cmake(3rdparty): drop simd warning in libjpeg-turbo 2022-12-08 17:22:51 +00:00
Alexander Alekhin 24d7eb0ca5 videoio(test): test skip due to non-updated FFmpeg wrapper 2022-12-08 17:18:29 +00:00
Alexander Alekhin 8ba44e7d55 Merge pull request #22882 from zihaomu:gemm_first_const 2022-12-08 14:18:33 +00:00
Alexander Alekhin 49f539cb46 Merge pull request #22894 from mshabunin:ffmpeg-16bit 2022-12-08 14:12:51 +00:00
Zihao Mu 0a650b573b Merge pull request #22840 from zihaomu:optimze_conv_memory_usage
DNN: reduce the memory used in convolution layer

* reduce the memory in winograd and disabel the test when usage memory is larger than 2gb.

* remove VERY_LOG tag
2022-12-08 12:57:13 +00:00
Alexander Alekhin 7e3c53b9d3 core(logger): strip path prefix 2022-12-07 23:58:36 +00:00
Alexander Smorkalov ab912329b6 Merge pull request #22885 from asmorkalov:as/new_qt_icons
Switch QT UI to icons with Google Material Design
2022-12-07 14:25:31 +03:00
Maksim Shabunin 6ad216576d videoio/FFmpeg: added CV_16UC1 read/write support 2022-12-07 12:12:31 +03:00
Alexander Alekhin c5a4df30c6 risc-v: fix RVV backend on clang with undefined CV_RVV_SCALABLE
- v_interleave_quads
- v_pack_triplets
- v_signmask
2022-12-06 13:49:05 +00:00
Zihao Mu cb8f1dca3b Merge pull request #22808 from zihaomu:nanotrack
[teset data in opencv_extra](https://github.com/opencv/opencv_extra/pull/1016)

NanoTrack is an extremely lightweight and fast object-tracking model. 
The total size is **1.1 MB**.
And the FPS on M1 chip is **150**, on Raspberry Pi 4 is about **30**. (Float32 CPU only)

With this model, many users can run object tracking on the edge device.

The author of NanoTrack is @HonglinChu.
The original repo is https://github.com/HonglinChu/NanoTrack.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2022-12-06 08:54:32 +03:00
Tomasz Ożański d1ff87d94d Bugfix for solvePnPRansac with SOLVEPNP_ITERATIVE
The current implementation overwrites the result rotation and translation in every iteration.
If SOLVEPNP_ITERATIVE was run as a refinement it will start from the incorrect initial
transformation thus  degrading the final outcome.
2022-12-03 16:46:03 +01:00
Alexander Alekhin b16f76eede Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-03 12:39:41 +00:00
Christine Poerschke 4792837f2e Merge pull request #22865 from cpoerschke:3.4-issue-22860
ocl_minMaxIdx to call minmaxloc.cl for OpenCL 1.2+ only
2022-12-03 05:29:04 +00:00
Alexander Alekhin 416830fb59 Merge pull request #22888 from alalek:dnn_ov_fix_custom_layers 2022-12-03 05:24:28 +00:00
Alexander Alekhin 07b1bc2e88 Merge pull request #22910 from alalek:cmake_pkg_config_ignore_atomic 2022-12-03 05:22:04 +00:00
Alexander Alekhin d16b3b2487 dnn(test): restore openvino tests with 'Cannot get memory' message 2022-12-03 01:34:48 +00:00
Alexander Alekhin 74d0b4cc78 dnn(openvino): fix custom layers BlockingDesc 2022-12-03 01:34:10 +00:00
Alexander Alekhin 8832a9dbd5 cmake: ocv_check_modules: ignore -latomic and -lstdc++ 2022-12-02 22:49:46 +00:00
Alexander Smorkalov c55613ccf7 Switch QT UI to icons with Google Material Design. 2022-12-02 11:21:02 +03:00
Alexander Alekhin 6c399aa62a Merge pull request #22899 from mshabunin:fix-videoio-plugin 2022-12-01 21:39:15 +00:00
Maksim Shabunin 5862b50217 videoio: fixed FFmpeg plugin build 2022-12-01 20:26:08 +03:00
Alexander Smorkalov 5696629b13 Merge pull request #22594 from ZhaoChuyang:pr_test_for_22253
add test for PR #22253
2022-12-01 13:47:32 +03:00
Vadim Levin 3a15152be5 refactor: rework test to be more specific 2022-11-30 18:31:03 +03:00
赵楚洋 f1055a7e91 add test 2022-11-30 18:31:03 +03:00
Alexander Smorkalov d4dc6b509b Merge pull request #22796 from ClayXrex:patch-1
fix: typo in opencv-python tutorials
2022-11-30 14:26:07 +03:00
Alexander Smorkalov 1192779d05 Merge pull request #22792 from tailsu:sd/avfoundation-orientation-meta
Add support for CAP_PROP_ORIENTATION_AUTO to AVFoundation backend
2022-11-30 14:25:09 +03:00
Alexander Duda 2eb7bf4cfa core: improve doc for setNumThreads
The old documentation implies that the call is only valid for the next parallel region and must be called again if addtional regions should be affected as well.
2022-11-30 11:37:35 +01:00
ClayXrex 71a1150c95 fix: typo 2022-11-30 12:52:51 +03:00
Alexander Smorkalov e14ca39fd7 Merge pull request #22857 from fengyuentau:batched_nms
dnn: add batched nms
2022-11-30 12:37:49 +03:00
Alexander Smorkalov 421ba8730a Merge pull request #22809 from fengyuentau:tile
dnn: support ONNX Tile
2022-11-29 14:42:28 +03:00
zihaomu 0d56524b72 gemm support transA and transB, and first input is constance. 2022-11-29 17:13:36 +08:00
fengyuentau 9fded9ca53 batched nms impl 2022-11-29 15:32:34 +08:00
fengyuentau 441624a5fb tile impl 2022-11-29 11:15:38 +08:00
Alexander Alekhin 25ac77e010 Merge pull request #22873 from WanliZhong:issue22859 2022-11-28 19:10:51 +00:00
Alexander Alekhin 77d887898d Merge pull request #22875 from asmorkalov:as/cl_error_code_fix 2022-11-28 19:05:59 +00:00
HAN Liutong a32f2cd24a Merge pull request #22520 from hanliutong:hsv
Modify the SIMD loop in color_hsv.

* Modify the SIMD loops in color_hsv.

* Add FP supporting in bit logic.

* Add temporary compatibility code.

* Use max_nlanes instead of vlanes for array declaration.

* Use "CV_SIMD || CV_SIMD_SCALABLE".

* Revert the modify of the Universal Intrinsic API

* Fix warnings.

* Use v_select instead of bits manipulation.
2022-11-28 18:28:14 +00:00
Alexander Smorkalov eb68de9268 Merge pull request #22695 from AleksandrPanov:qr_improve_version_detect
Improve QR code version estimation
2022-11-28 19:50:02 +03:00
AleksandrPanov ed3810f7a5 add getNumModules(), add decode version 2022-11-28 17:45:09 +03:00
Alexander Smorkalov 1c3e287d32 More fixes for OpenCL error reporting. 2022-11-28 09:47:51 +03:00
zoom 5044af69d1 let MatMul can work when both two inputs are const 2022-11-27 17:32:41 +08:00
Alexander Alekhin bc6544c0bc Merge pull request #22866 from asmorkalov:as/error_formatting 2022-11-25 22:47:20 +00:00
Stefan Dragnev a462f49b99 add support for CAP_PROP_ORIENTATION_AUTO to AVFoundation backend
* extract rotateFrame as free function, rename to applyMetadataRotation
* LegacyCapture::get() always return 0, if cap is null
2022-11-25 17:25:13 +01:00
Alexander Smorkalov 7622fbf895 Fixed OpenGL errors formatting. 2022-11-25 16:46:12 +03:00
Amir Hassan 3f371fe2dd Merge pull request #22855 from kallaballa:print_cl_status_on_fail
Print CL status code on error in opengl interop functions
2022-11-25 09:13:57 +03:00
Alexander Smorkalov 6ca205a029 Merge pull request #22478 from WanliZhong:nary_eltwise_cuda
DNN: Let part of the operators in nary_eltwise support CUDA
2022-11-22 16:15:50 +03:00
Dan Mašek aba2167d9c Merge pull request #22838 from dan-masek:fix_issue_22837
Fix issue 22837: No more blank buttons on toolbar after resizing the window
2022-11-22 13:47:27 +03:00
Alexander Smorkalov 5db4f1f7df Merge pull request #22830 from alalek:issue_22752
imgcodecs: ensure parameters are key-value pairs, fix HDR encoder
2022-11-22 12:50:02 +03:00
Alexander Alekhin a0a8d2160d Merge pull request #22775 from WanliZhong:issue22713 2022-11-21 19:55:48 +00:00
Alexander Alekhin 2a5da50902 Merge pull request #22806 from dan-masek:fix_issue_22767 2022-11-21 19:53:34 +00:00
Alexander Smorkalov 51758b2dd6 Merge pull request #22842 from asmorkalov:as/pr_22737_backport
backport #22737: Cocoa/highgui: Set [NSApp activateIgnoringOtherApps] to spawn window on top
2022-11-21 13:41:44 +03:00
fwcd 90b144cf0a Cocoa/highgui: Set activateIgnoringOtherApps 2022-11-21 12:49:08 +03:00
Alexander Smorkalov 529bd0425e Merge pull request #22737 from fwcd:activate-cocoa-window-on-top
Cocoa/highgui: Set `[NSApp activateIgnoringOtherApps]` to spawn window on top
2022-11-21 12:28:00 +03:00
Alexander Alekhin 6c36cd5d6e Merge pull request #22839 from zchrissirhcz:fix-typo-3.4 2022-11-21 07:48:04 +00:00
Alexander Alekhin c102720af4 Merge pull request #22831 from mshabunin:fix-gapi-test-crash 2022-11-21 07:33:55 +00:00
Zhuo Zhang c63a6c472d fix typo: Gausssian to Gaussian 2022-11-21 10:44:12 +08:00
Alexander Alekhin 5b3f721efa Merge pull request #22805 from dan-masek:fix_issue_22766 2022-11-20 22:28:24 +00:00
Dan Mašek e5bea2bde4 Fix #22766: Corrected off-by one error causing inconsistent row spacing. (rebased to 3.4) 2022-11-20 21:48:23 +01:00
Dan Mašek e9d64e0a8c Fix #22767: Ensure that the buttons are spaced to the size of the toolbar window, which is always visible. (rebased to 3.x) 2022-11-20 20:53:23 +01:00
Alexander Alekhin f0df78b7e7 imgcodecs: ensure parameters are key-value pairs, fix HDR encoder 2022-11-20 13:08:46 +00:00
Maksim Shabunin e93d976d00 gapi: fix InferWithReshape test crash when data is not found 2022-11-19 01:56:45 +03:00
Anatoliy Talamanov 64aad34cb4 Merge pull request #22735 from TolyaTalamanov:at/expose-all-imgproc-to-python
G-API Expose all imgproc operations to python

* Expose imgproc operations

* Fix alignment
2022-11-18 15:25:51 +00:00
Alexander Smorkalov 7592d58f0c Merge pull request #22771 from kallaballa:opencl_hls_and_hsv_conversions_bug
define the number of dstChannels for HLS and HSV conversion as well
2022-11-17 13:36:18 +03:00
Alexander Smorkalov 08906ddd4b Merge pull request #22814 from AleksandrPanov:log_qr_version
log QR version and corners
2022-11-17 11:02:11 +03:00
su77ungr d21761c0fd Merge pull request #22727 from su77ungr:patch-1
Rename file name to correct spelling
2022-11-17 06:54:25 +00:00
Alexander Smorkalov 277ead95d9 Merge pull request #22816 from cudawarped/remove_windows_cuda_dll_warning
Suppress CUDA nvcc generated warnings #1394-D and #1388-D on windows
2022-11-17 09:17:18 +03:00
Alexander Alekhin 5d14cc68b7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-11-16 16:54:11 +00:00
Alexander Alekhin ce80e0dc57 Merge pull request #22559 from smirnov-alexey:as/vpl_ocl
G-API: Connect OneVPL source and OpenCL backend
2022-11-16 19:24:48 +03:00
Alexey Smirnov 4c74e6d89d Copy mpashchenkov's changes
Minor refactoring

Partially address review comments

Move DX-related stuff from the sample to a default source

Simplify the default OneVPL config

Address minor review comments

Add class for the default VPL source

WIP: Add initial stub for tests with description

Removing default vpl source and minor refactoring

Refactor default files

Fix build and application crash

Address review comments

Add test on VPL + OCL interaction compared to CPU behavior

Fix test
2022-11-16 14:17:02 +01:00
cudawarped 45d04175d4 Suppress
warning #1394-D: field of class type without a DLL interface used in a class with a DLL interface
from windows CUDA builds.
2022-11-16 11:14:17 +02:00
AleksandrPanov 687c9b7b29 log QR version and corners 2022-11-16 10:41:13 +03:00
Alexander Alekhin d9f66413ee Merge pull request #22811 from alalek:core_check_bool 2022-11-16 04:06:23 +00:00
Alexander Alekhin 1b1bbe4262 Merge pull request #22801 from alalek:update_zlib
* 3rdparty: zlib 1.2.12 => 1.2.13

https://github.com/madler/zlib/releases/tag/v1.2.13

- replace README -> LICENSE in install distribution

* 3rdparty(zlib): re-apply patch 20190330-ununitialized-use-state-check.diff
2022-11-16 04:05:08 +00:00
Alexander Smorkalov 3edf7c25d4 Merge pull request #22804 from dan-masek:fix_issue_22765
Fix #22765
2022-11-15 15:02:23 +03:00
Alexander Alekhin 54531f8e3b core: support CV_Check*() macros with 'bool' parameters 2022-11-15 11:47:16 +00:00
Alexander Smorkalov b5a68f235a Merge pull request #22802 from zihaomu:fix_infinit_loop_in_tf_34
Fix infinit loop in tf 3.4 branch
2022-11-15 11:45:14 +03:00
zihaomu 5bf64e7dfe fix the infinite loop in tf importer of 3.4 branch 2022-11-15 11:42:10 +08:00
Dan Mašek 51b897b672 Fix #22765: Remove unnecessary function resulting in infinite recursion. Since In all four places it was used, we already check the shared pointer, the extra assert that the function provided was redundand, so I removed it, and I added a dereference to the window parameters. 2022-11-15 00:44:51 +01:00
Amir Hassan da4ac6b7ef Merge pull request #22706 from kallaballa:libavdevice_for_ffmpeg_v4l2
Introduce libavdevice to make v4l2 available to the ffmpeg backend

* introduce libavdevice to make v4l2 available to the ffmpeg backend

* downgrade the min required libavdevice version to 53.2.0

* make libavdevice optional

* create OCV_OPTION OPENCV_FFMPEG_ENABLE_LIBAVDEVICE and add definition through ocv_add_external_target

* move OCV_OPTION 'OPENCV_FFMPEG_ENABLE_LIBAVDEVICE' to detect_ffmpeg.cmake
2022-11-11 22:28:02 +00:00
Juha Reunanen 1ba0984203 Merge pull request #22790 from reunanen:add-capability-to-set-DWA-compression-level-in-OpenEXR-encoding
OpenEXR encoder: add capability to set the DWA compression level

* OpenEXR encoder: add capability to set the DWA compression level from outside

* Do not try to call `header.dwaCompressionLevel()` if OpenEXR is not version 3 or later

* Minor cleanup
2022-11-11 08:40:53 +00:00
kallaballa f5e852cdf0 define the number of dstChannels for HLS and HSV conversion as well 2022-11-11 09:23:28 +01:00
zoom ef2677b0a6 Make MatMul layer support 3d or 4d operation with const input 2022-11-10 11:41:44 +08:00
Anatoliy Talamanov 2aad039b4f Merge pull request #22494 from TolyaTalamanov:at/expose-all-core-to-python
G-API Expose all core operations to python

* Expose all G-API core operations to python

* Fix typo in python gapi types test
2022-11-08 11:43:38 +00:00
Alexander Alekhin 8a90948a1c Merge pull request #22761 from reunanen:fix-floodFill-for-very-large-images 2022-11-07 20:51:38 +00:00
Juha Reunanen 63bff33e85 Fix floodFill for very large images 2022-11-07 13:42:20 +02:00
Alexander Alekhin 21133a2091 Merge pull request #22744 from WanliZhong:fix_gitcode_mirror 2022-11-03 16:14:28 +00:00
zoom 39f995e319 Fix the problem that "ADE" downloaded from GitCode doesn't work. 2022-11-03 16:54:08 +08:00
Alexander Alekhin 91624e87ab Merge pull request #22739 from zihaomu:remove_never_used_code 2022-11-03 04:41:56 +00:00
zoom 11d492b0b9 Let part of the operators in nary_eltwise support cuda 2022-11-02 14:08:21 +08:00
Zihao Mu 17f2b56291 remove never used code in onnximporter 2022-11-02 10:45:16 +08:00
fwcd d1d8ac57f3 Cocoa/highgui: Set activateIgnoringOtherApps 2022-11-01 18:24:10 +01:00
Alexander Alekhin b418eb112c Merge pull request #22717 from alalek:issue_22716 2022-10-31 17:03:43 +00:00
Alexander Alekhin ee9137f176 Merge pull request #22725 from zihaomu:fix_infinit_loop_in_tf 2022-10-31 17:03:03 +00:00
Zihao Mu 903bf0147e Merge pull request #22666 from zihaomu:support_onnx_qdq_model
DNN: let Quant and Dequant of ONNX_importer support the Constant input.

* let Quant and Dequant support the Constant input.

* fix negative value of axis.
2022-10-31 16:06:31 +00:00
Alexander Alekhin 540aa13300 Merge pull request #22718 from zihaomu:improve_stackblur 2022-10-31 15:54:53 +00:00
Alexander Alekhin bbbf1168dc Merge pull request #22726 from JopKnoppers:master 2022-10-31 15:52:29 +00:00
Zihao Mu 18fbb72f7d fix the infinite loop in tf importer. 2022-10-31 20:10:25 +08:00
JopKnoppers 0b5fd4f6bb Included thread in gapi_async_test.cpp
Preventing: gapi_async_test.cpp:448:26: error: ‘sleep_for’ is not a member of ‘std::this_thread’
2022-10-31 12:19:04 +01:00
Alexander Alekhin 87360c2ae5 Merge pull request #22601 from cpoerschke:4.x-issue-22595 2022-10-30 16:49:01 +00:00
Zihao Mu 17b98dd005 improve code style and Doc of stackblur. 2022-10-29 17:34:28 +08:00
Alexander Alekhin 1293e99ad8 Merge pull request #22712 from dmatveev:dm/fix_va_headers 2022-10-28 20:47:53 +00:00
Alexander Alekhin 028d4d83d3 imgproc: sigma2=sigma1 in top-level function of GaussianBlur 2022-10-28 17:04:53 +00:00
cudawarped be670e168a Merge pull request #22615 from cudawarped:nvcuvenc
Update CMake rules to include Nvidia Video Codec SDK encoding libs
2022-10-28 11:03:51 +03:00
Dmitry Matveev b619477be9 Fix issues with VA_INCLUDE_HEADERS when building with CUDA support
...and not only?
2022-10-28 04:02:35 +00:00
Alexander Smorkalov 778faddbd8 Merge pull request #22463 from hanliutong:rvv
Redesign the SIMD macro.
2022-10-27 14:16:03 +03:00
Alexander Smorkalov f644634aa6 Merge pull request #22702 from kallaballa:ffmpeg_environment_variables
Dump the values of OPENCV_FFMPEG_CAPTURE_OPTIONS and OPENCV_FFMPEG_WRITER_OPTIONS to debug log
2022-10-27 12:18:52 +03:00
kallaballa 547f4c2c5a print a debug message if the environment variables OPENCV_FFMPEG_CAPTURE_OPTIONS and OPENCV_FFMPEG_WRITER_OPTIONS are set 2022-10-27 00:27:17 +02:00
HAN Liutong 5462a6be6e Update SIMD macro for RVV backend. 2022-10-26 13:02:03 +00:00
Alexander Smorkalov a60496f9df Merge pull request #22633 from cudawarped:fix_3361
Reset cuda runtime error code to cudasuccess on runtime failure.
2022-10-26 15:48:06 +03:00
Alexander Smorkalov acd8d3a617 Merge pull request #22692 from asmorkalov:as/arm_debug_4x
4.x: Added ARM64 debug configuration to CI.
2022-10-26 12:00:51 +03:00
Alexander Smorkalov 0c92305a4b Merge pull request #22690 from alalek:android_config_ndk25
android: add configuration for NDK 25 and Android API 32 (12L)
2022-10-25 14:40:17 +03:00
Alexander Smorkalov 1ecfff0fa0 Merge pull request #22689 from asmorkalov:as/ubuntu14_tk1_ffmpeg
libav for jetson tk1 does not provide libavutil/display.h
2022-10-25 13:47:02 +03:00
Alexander Smorkalov d933034ad4 Added ARM64 debug configuration to CI. 2022-10-25 13:41:10 +03:00
Alexander Smorkalov a6fadfe1c2 libav for jetson tk1 does not provide libavutil/display.h. 2022-10-25 10:21:20 +03:00
Alexander Alekhin aae317c017 android: add configuration for NDK 25 and Android API 32 (12L) 2022-10-24 22:24:04 +00:00
Alexander Smorkalov 37683aca56 Merge pull request #22687 from asmorkalov:as/yolo7_test
Do not fail tests in Yolo v7 model was not found
2022-10-24 19:09:29 +03:00
Alexander Smorkalov 22f8fb4d5c Do not fail tests in Yolo v7 model was not found. 2022-10-24 17:59:18 +03:00
Alexander Smorkalov 7d1589d407 Merge pull request #22684 from alalek:android_update
android: update build scripts
2022-10-24 13:47:03 +03:00
Alexander Smorkalov b35018d955 Merge pull request #22683 from alalek:android_activity_export
android: add android:exported="true"
2022-10-24 10:48:41 +03:00
Alexander Alekhin c29a3aa0a0 android: update build scripts 2022-10-23 16:35:17 +00:00
Alexander Alekhin eae5fd81e5 android: add android:exported="true" 2022-10-23 12:11:10 +00:00
Alexander Smorkalov 23edec83fb Merge pull request #22667 from zihaomu:bug_fix_in_winograd
DNN: bug fixed in Winograd
2022-10-21 17:54:13 +03:00
Alexander Smorkalov e4cd430710 Merge pull request #22653 from WanliZhong:issue22597
DNN-TF: let StridedSlice layer support const input
2022-10-21 17:51:00 +03:00
Dmitry Kurtaev 35b2cff295 Merge pull request #22656 from dkurt:halide_fixes
* Fixes for Halide
* Enable some Halide tests
2022-10-21 17:49:49 +03:00
Ramiro Silveyra d'Avila 8e5f37f87c Merge pull request #22672 from ramasilveyra:docs/remove-dup-v4
* docs: remove duplicated step in Build .js doc

* docs: add missing emcmake prefix to command
2022-10-21 14:04:35 +00:00
Zihao Mu cee8c86b6e fixed bug at winograd of SIMD128 and more robust code. 2022-10-21 19:14:54 +08:00
Maksim Shabunin c0a84dcc85 Merge pull request #22651 from mshabunin:script-doc
ts: basic documentation for utility scripts
2022-10-20 14:11:02 +03:00
Alexander Smorkalov e80b443cd9 Merge pull request #22659 from AleksandrPanov:qr_reduce_extra_adaptiveThreshold
QR code, reduce extra adaptiveThreshold()
2022-10-20 12:05:17 +03:00
Alexander Alekhin e309a06b47 Merge pull request #22661 from catree:fix_AKAZE_bib_pages 2022-10-19 15:48:38 +00:00
Alexander Alekhin 86dad3aebe Merge pull request #22662 from catree:fix_chessboard_img 2022-10-19 12:57:16 +00:00
catree 5a9fe9dedb Replace the chessboard.png image with the pattern.png image since the chessboard.png image does not have proper squares which is not good for camera calibration accuracy. 2022-10-19 14:11:01 +02:00
catree c7d24c0fb3 Fix AKAZE bib reference using dblp.org and bmva.org sources. 2022-10-19 13:55:33 +02:00
Alexander Smorkalov 5d292826b2 Merge pull request #22593 from zihaomu:optimize_wino
optimize winograd futher more
2022-10-19 13:08:32 +03:00
Alexander Smorkalov f378f02954 Merge pull request #22652 from rogday:cuda_test_fixes
Address CUDA-related errors
2022-10-19 09:37:12 +03:00
Zhi-Qiang Zhou c8561eae2d Update region_layer.cpp
Fix objectness (dstData[index + 4]) is not assigned if new_coords == 1.
2022-10-19 11:17:23 +08:00
AleksandrPanov ba575fd4ad reduce extra adaptiveThreshold() 2022-10-18 23:25:41 +03:00
Smirnov Egor dd14cf6a9c address CUDA-related errors and enable cuda in elementwise ops 2022-10-18 16:54:42 +03:00
Alexander Smorkalov 2c81cb2f76 Merge pull request #22654 from asenyaev:asen/cuda_trigger_4.x
Trigger on "category: dnn (onnx)" label
2022-10-18 11:14:23 +03:00
Hashem Zavvari 6eb34716b8 Merge pull request #22635 from hzawary:4.x
Setting CAP_PROP_AUTO_EXPOSURE on VideoCapture with backend DSHOW does not change anything. Now with this implementation the property can be used with value 1 for availability.
2022-10-18 11:13:08 +03:00
Andrey Senyaev 871bc98933 Trigger on dnn (onnx) label 2022-10-18 08:55:10 +03:00
Alexander Smorkalov ec7fc5adca Merge pull request #22529 from fengyuentau:scatter_scatternd
DNN: supports Scatter and ScatterND from ONNX
2022-10-17 14:57:46 +03:00
Alexander Smorkalov c0c3f4cbac Merge pull request #22643 from sturkmen72:cosmetic
cosmetic changes
2022-10-17 14:57:12 +03:00
Alexander Smorkalov 02143cd0e2 Merge pull request #22531 from zihaomu:stop_rely_name
Parsing quantized nodes does not rely on names
2022-10-17 11:20:24 +03:00
Alexander Smorkalov 1c5dcbcac8 Merge pull request #22639 from WanliZhong:issue#22625
DNN: Make Unsqueeze layer support negative axes
2022-10-17 09:27:49 +03:00
fengyuentau d24d8f2abe implementation of scatter and scatternd with conformance tests enabled 2022-10-17 11:30:32 +08:00
Alexander Alekhin 584ea43b2f Merge pull request #22527 from paroj:misc 2022-10-16 19:08:13 +00:00
Suleyman TURKMEN 292f62c5cc cosmetic changes 2022-10-16 04:05:20 +03:00
Alexander Alekhin 762481411d Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-10-15 16:44:47 +00:00
zoom d816442e4d Make Unsqueeze layer support negative axes. 2022-10-14 18:00:19 +08:00
Alexander Alekhin ea5ca16036 Merge pull request #22617 from changh95:4.x 2022-10-14 09:17:16 +00:00
Alexander Smorkalov 2991717191 Merge pull request #22637 from alalek:docs_fix_links_generation_22572
docs: prefer # for links generation
2022-10-14 09:18:27 +03:00
Zihao Mu 0fa43e3aac Optimize the winograd futher more. 2022-10-14 10:15:45 +08:00
Hyunggi Chang 085fb78e85 fix typo (portatibility -> portability) 2022-10-13 21:39:52 +00:00
Alexander Alekhin a565aa6db9 docs: prefer # for links generation
- avoid `@ref`
- align with 4.x branch (minimize merge conflicts)
2022-10-13 20:55:53 +00:00
Alexander Alekhin 2763f988da Merge pull request #22526 from paroj:pyrect 2022-10-13 11:46:28 +00:00
Alexander Smorkalov 82ac7ea236 Merge pull request #22629 from asenyaev:asen/cuda_pipeline
Workflow Ubuntu 20.04 x64 with CUDA support (4.x)
2022-10-13 12:18:05 +03:00
cudawarped f89dee4f3e Reset cuda error code to cudasuccess. 2022-10-13 10:15:40 +03:00
Pavel Rojtberg 70779d4e66 calib3d: use OCV_LAPACK_FUNC 2022-10-12 17:01:28 +02:00
Pavel Rojtberg c0ecf08ca0 cmake: use upstream PCH support if possible 2022-10-12 17:01:28 +02:00
Pavel Rojtberg 35f43cc429 core: expose rectangle intersection to bindings 2022-10-12 14:08:12 +02:00
Andrey Senyaev cfafd0493c Workflow Ubuntu 20.04 x64 with CUDA support (4.x) 2022-10-12 14:41:19 +03:00
zoom 9119692bb8 let StridedSlice layer support const input 2022-10-12 11:50:44 +08:00
Harvey Huang 8b0aa6a64d Merge pull request #21966 from Harvey-Huang:Unicode_Path
Support use memory buffer to read multi-page image
2022-10-11 14:25:35 +03:00
Alexander Smorkalov ec26541771 Merge pull request #22577 from zihaomu:Disable_winograd_branch_in_tryquantize
DNN: add enableWinograd API for Net
2022-10-11 09:44:00 +03:00
Alexander Smorkalov 1c825dd509 Merge pull request #22613 from erasta:patch-1
Opencv.js: on imread add willReadFrequently to getContext
2022-10-11 09:42:55 +03:00
Zihao Mu d9eff7daeb parse quantized nodes does not rely on name. 2022-10-10 17:08:46 +08:00
Alexander Smorkalov 3419e64dcf Merge pull request #22611 from zihaomu:greaterOrEqual
DNN: support GreaterOrEqual and LessOrEqual op in ONNX
2022-10-10 11:43:44 +03:00
Zihao Mu 1e2ceca4df add enableWinograd API for Net. 2022-10-09 09:33:07 +08:00
Alexander Alekhin 347246901e Merge pull request #21745 from alalek:dnn_plugin_openvino 2022-10-08 22:32:25 +00:00
Eran Geva 68bd156a71 add willReadFrequently on imread in js 2022-10-08 12:05:33 +03:00
Zihao Mu 9821fae59d add greater_or_equal and less_or_equal ONNX support 2022-10-08 15:51:40 +08:00
Alexander Alekhin 43b2bb2c25 dnn: plugin support for OpenVINO 2022-10-07 16:57:31 +00:00
Petr Glotov a3ebafbdeb Merge pull request #21942 from pglotov:add-blob-contours
added blob contours to blob detector

* added blob contours

* Fixed Java regression test after new parameter addition to SimpleBlobDetector.

* Added stub implementation of SimpleBlobDetector::getBlobContours to presume source API compatibility.
2022-10-07 19:07:51 +03:00
Alexander Smorkalov 5cd07006f6 Merge pull request #22329 from chinery:stitching-py-fixes
Fix stitching Python bindings (and one stitching_detailed.cpp bug)
2022-10-07 15:03:37 +03:00
Alexander Smorkalov 3d350a002e Merge pull request #22562 from cudawarped:add_bindings_to_cuda_fastNlMeansDenoising
Add bindings to CUDA photo denoising functions
2022-10-07 14:55:14 +03:00
Alexander Smorkalov f18b8cd569 Merge pull request #22606 from savuor:doc_fix_lmsolver
Doc fix for LMSolver
2022-10-07 12:42:48 +03:00
Alexander Smorkalov 5389d9e0d4 Merge pull request #22596 from TolyaTalamanov:at/add-num-iter
[G-API] Pipeline modeling tool: Support num_iters criteria
2022-10-07 09:09:19 +03:00
Rostislav Vasilikhin 07c795408d doc fix 2022-10-07 01:40:50 +02:00
TolyaTalamanov 5f50e7bafe Criteria -> Criterion 2022-10-06 09:41:30 +00:00
TolyaTalamanov e92716a1b6 Merge branch '4.x' of github.com:opencv/opencv into at/add-num-iter 2022-10-06 07:12:14 +00:00
Alexander Alekhin bbcc1752b1 Merge pull request #22600 from alalek:cmake_opt_force_targets 2022-10-06 05:05:40 +00:00
Christine Poerschke 40ae06091d add cvGetPropVisible_COCOA 2022-10-05 21:51:26 +01:00
Alexander Alekhin d480e2e51b cmake(opt): force separate targets for dispatched code
- PCH may not pass compilation flags properly
2022-10-05 21:54:46 +03:00
TolyaTalamanov 839321642e Move impl from class 2022-10-05 12:01:45 +00:00
TolyaTalamanov 9f88a65873 Fix functional pipeline tool tests 2022-10-04 14:23:05 +00:00
Alexander Smorkalov b77330bafc Merge pull request #22501 from cabelo:oak-devices-docs
OAK Information
2022-10-04 17:09:03 +03:00
Alexander Smorkalov 4a4b2a0ce6 Merge pull request #22539 from catree:feat_homography_tutorial_gif
Add a gif to the homography exercise
2022-10-04 15:59:40 +03:00
Alexander Smorkalov 0ae126d3b8 Typos and formating fixes. 2022-10-04 15:52:38 +03:00
Alessandro de Oliveira Faria (A.K.A. CABELO) af9332dfaf OAK Information 2022-10-04 15:42:31 +03:00
Alexander Smorkalov 4103567776 Merge pull request #22194 from heavyrain-lzy:fixbug_pyrup
Fix the pyramid bug when src*2 < dst
2022-10-04 15:37:01 +03:00
Alexander Smorkalov 8f0edf6a1c Merge pull request #22074 from bwang30:opencv-warpAffine-ippiw
Add warpAffine IPPIW implementation to replace with old version
2022-10-04 14:38:00 +03:00
catree ab5279f4ad Add an image to illustrate camera poses interpolation for the small homography exercise. 2022-10-04 13:36:58 +02:00
TolyaTalamanov 1113c9ab10 Support num_iters criteria for pipeline tool 2022-10-04 08:37:56 +00:00
Alexander Smorkalov bf5d7c0c10 Merge pull request #22588 from TolyaTalamanov:at/sync-ie-request-pool
G-API: Add synchronous execution for IE backend
2022-10-04 11:32:21 +03:00
Alexander Smorkalov fef8d4c990 Merge pull request #22017 from xiong-jie-y:py_onnx
Add python bindings for G-API onnx
2022-10-04 10:33:10 +03:00
TolyaTalamanov 5a0c85b3ef Refactor tests 2022-10-04 07:05:40 +00:00
TolyaTalamanov 9fd877acc9 Merge branch '4.x' of github.com:opencv/opencv into at/sync-ie-request-pool 2022-10-04 06:48:28 +00:00
robin ed3b56d763 Add warpAffine IPPIW implementation protected by ipp NE flag
Signed-off-by: robin <bin.wang@intel.com>
2022-10-04 08:40:44 +03:00
Kumataro 2f79b1b087 Merge pull request #22404 from Kumataro:3.4-fix22388_2
* imgcodecs: tiff: Reduce memory usage to read 16bit image.

* imgcodecs: tiff: Reduce memory usage to read 8bit images

* imgcodecs: tiff: split basic test and full test.

* imgcodecs: tiff: fix to warning C4244

* imgcodecs: tiff: fix to warning C4244
2022-10-03 18:24:15 +03:00
Alexander Smorkalov 7208f63221 Merge pull request #22583 from TolyaTalamanov:at/add-cfg-output-precision-for-ie-backend
G-API: API for configuring model output precision for IE backend
2022-10-03 15:54:00 +03:00
Alexander Smorkalov 572d4f4491 Merge pull request #22584 from vrabaud:msan
Move marking memory as initialized earlier.
2022-10-03 15:48:38 +03:00
TolyaTalamanov 0cd4396180 Expand modeling tool to support infer_mode 2022-10-03 11:08:15 +00:00
TolyaTalamanov aafb7567c1 Add tests 2022-10-03 10:58:21 +00:00
Alexander Smorkalov 468431cd8f Merge pull request #22542 from TolyaTalamanov:at/expand-performance-report-with-metrics
[G-API] Pipeline modeling tool - expand performance report
2022-10-03 13:14:17 +03:00
TolyaTalamanov cf5db9b94f Add handle to configure async/sync infer mode 2022-10-03 09:43:50 +00:00
TolyaTalamanov 589b6c15f0 Fix windows warning 2022-10-03 09:43:50 +00:00
TolyaTalamanov 2af0813634 Add sync/async executors for infer request 2022-10-03 09:43:50 +00:00
TolyaTalamanov 15d2a5faf8 Add sync infer request 2022-10-03 09:43:50 +00:00
TolyaTalamanov b1d28d5b4a Expand performance report 2022-10-03 09:04:49 +00:00
TolyaTalamanov a6fbd8287c Fix comments to review 2022-10-03 08:04:31 +00:00
TolyaTalamanov b0b77b3047 Add cfgOutputPrecision 2022-10-03 08:04:31 +00:00
Alexander Smorkalov 96844b0ca5 Merge pull request #22554 from WanliZhong:slice_axes_no_seq
DNN: Let Slice layer support non-sequential and negative axes
2022-10-03 10:15:55 +03:00
Alexander Smorkalov 7fc6146973 Merge pull request #22560 from fengyuentau:enable_issue_template_chooser_with_templates
Enable issue template chooser
2022-10-03 10:01:39 +03:00
Biswapriyo Nath 6cf0910842 Merge pull request #22462 from Biswa96:fix-directx-check
* cmake: Fix DirectX detection in mingw

The pragma comment directive is valid for MSVC only. So, the DirectX detection
fails in mingw. The failure is fixed by adding the required linking library
(here d3d11) in the try_compile() function in OpenCVDetectDirectX.cmake file.
Also add a message if the first DirectX check fails.

* gapi: Fix compilation with mingw

These changes remove MSVC specific pragma directive. The compilation fails at
linking time due to absence of proper linking library. The required libraries
are added in corresponding CMakeLists.txt file.

* samples: Fix compilation with mingw

These changes remove MSVC specific pragma directive. The compilation fails at
linking time due to absence of proper linking library. The required libraries
are added in corresponding CMakeLists.txt file.
2022-10-03 08:37:36 +03:00
fengyuentau 692c536ac5 enable issue template chooser with templates for bug report, feature
request and documentation
2022-10-01 21:51:48 +08:00
Alexander Alekhin 1646a21197 Merge pull request #22505 from asmorkalov:as/matcher_score_thresh 2022-10-01 12:05:03 +00:00
zoom 4557971481 enhance slice layer
refactor the code for parsing Slice layer
add test for Slice layer
let 'begin' and 'end' resize to dims
add opset message comment
2022-10-01 17:12:07 +08:00
cudawarped 8baf46c0a8 Add bindings and test 2022-09-30 12:31:24 +03:00
Alexander Smorkalov 0c0083ba72 Merge pull request #22589 from ocpalo:imagecollection_warnings
fix warnings in ImageCollection
2022-09-30 10:10:14 +03:00
ocpalo d18362c726 fix warnings in ImageCollection 2022-09-29 20:48:51 +03:00
Alexander Smorkalov b403d37267 Merge pull request #20379 from zihaomu:stackblur
Add StackBlur for imgproc
2022-09-29 16:24:20 +03:00
Alexander Smorkalov 2d189e24ee Merge pull request #22580 from seanm:Wextra-semi
Fixed most clang -Wextra-semi warnings
2022-09-29 11:50:20 +03:00
Alexander Smorkalov c8c29b0f1a Merge pull request #22585 from opencv:zm/remove-code-1
DNN: Remove unused code in onnx_importer.cpp
2022-09-29 11:44:19 +03:00
Alexander Smorkalov 784dd55d88 Extracted matches_confindece_thresh as stitching matcher parameter. 2022-09-29 09:04:24 +03:00
Alexander Smorkalov adb916ce82 Merge pull request #22358 from AleksandrPanov:qrcode_x86_arm
QRcode, change INTER_LINEAR to INTER_LINEAR_EXACT
2022-09-29 08:56:07 +03:00
Zihao Mu 15cfafb360 DNN: Remove unused code in onnx_importer.cpp 2022-09-29 10:53:43 +08:00
AleksandrPanov d43cb4fe7c change resize flag INTER_LINEAR to INTER_LINEAR_EXACT
fix python test_detect_and_decode_multi, sort QR in multiDetect/multiDecode
enable tests with "version_5_up.jpg", "version_5_top.jpg"
2022-09-28 23:52:24 +03:00
Vincent Rabaud 38c9c20a35 Move marking memory as initialized earlier. 2022-09-28 21:58:17 +02:00
Alexander Smorkalov 935acc500f Merge pull request #22566 from asmorkalov:as/libjpeg_turbo_linkage_warning
Fix multiple sdtlib linkage warning on Windows with MSVS.
2022-09-28 20:04:24 +03:00
Alexander Smorkalov c189f31f23 Merge pull request #22552 from alvoron:ocv_ov_instruction
OpenCV for OpenVINO documentation
2022-09-28 15:14:57 +03:00
Voron cbf43a54fb added opencv for openvino tutorial 2022-09-28 12:05:28 +02:00
Zihao Mu 2918071a3e add stackblur for imgproc. 2022-09-28 17:47:32 +08:00
Sean McBride 1829eba584 Fixed most clang -Wextra-semi warnings 2022-09-27 18:06:46 -04:00
Alexander Smorkalov 3a64607d94 Merge pull request #22518 from TolyaTalamanov:at/expand-modeling-tool-to-support-config-in-yml
[G-API] Pipeline modeling tool - support local infer node config
2022-09-27 14:24:35 +03:00
Alexander Smorkalov 64649a1207 Fix multiple sdtlib linkage warning on Windows with MSVS.
Use global OpenCV settings for MS Visual Studio run-time libraries to prevent colision.
2022-09-27 14:13:30 +03:00
Alexander Smorkalov 4dfbbabf8b Merge pull request #22572 from catree:feat_improve_doc_calib3d
[3.4] Add information about the disparity-to-depth mapping matrix
2022-09-27 10:19:17 +03:00
Alexander Smorkalov 72f1ce6550 Merge pull request #22570 from alalek:fix_riscv_opt_path
riscv: use /opt/riscv path in toolchain
2022-09-27 09:44:43 +03:00
catree c34c4b50d0 Add information about the disparity-to-depth mapping matrix. Add more references about other related functions in the calib3d doc. 2022-09-26 18:40:18 +02:00
TolyaTalamanov 4521d66103 Remove r-value ref 2022-09-26 11:53:57 +00:00
Alexander Smorkalov 0c238c9e72 Merge pull request #22568 from asmorkalov:as/webp_warning
Report that animated webp is not supported for now
2022-09-26 14:16:18 +03:00
Alexander Smorkalov 3d9f27b877 Report that animated webp is not supported for now. 2022-09-26 13:53:49 +03:00
Alexander Alekhin 50e66a2e53 riscv: use /opt/riscv path in toolchain
- align with defaults from https://github.com/riscv-collab/riscv-gnu-toolchain
2022-09-26 10:50:01 +00:00
Alexander Smorkalov a682f02f59 Merge pull request #22558 from hanliutong:signmask
Fix v_signmask for RISC-V Vector
2022-09-25 13:15:49 +03:00
HAN Liutong df24bd295d Fix v_signmask for RISC-V Vector. 2022-09-23 11:28:50 +00:00
Alexander Smorkalov 04ebedb6f0 Merge pull request #22128 from ocpalo:multipage_img_decoder
[GSoC 2022] Multipage Image Decoder API
2022-09-21 16:10:22 +03:00
Alexander Smorkalov 71ae1cac5f Merge pull request #22547 from dkurt:riscv_toolchain
Detect RISC-V compiler from PATH environment variable
2022-09-21 16:08:10 +03:00
Dmitry Kurtaev e0b21dccf1 Detect RISC-V compiler from PATH environment variable 2022-09-21 11:40:54 +03:00
Alexander Smorkalov bfeeb0ad70 Merge pull request #22285 from asenyaev:asen/disabled_compiling_warnings_3.4
Disabled compiling warnings in case of symbols in cmake for 3.4
2022-09-20 15:14:36 +03:00
Alexander Smorkalov 2273af0166 Merge pull request #22286 from asenyaev:asen/disabled_compiling_warnings_4.x
Disabled compiling warnings in case of symbols in cmake for 4.x
2022-09-20 15:13:06 +03:00
Alexander Smorkalov 604192337f Merge pull request #22535 from sashashura:patch-2
GitHub Workflows security hardening
2022-09-20 14:56:46 +03:00
Andrey Senyaev ccfc34b13f Disabled compiling warnings in case of symbols in cmake for 4.x 2022-09-20 13:35:48 +03:00
Andrey Senyaev 3f4abcb228 Disabled compiling warnings in case of symbols in cmake for 3.4 2022-09-20 13:34:17 +03:00
Alexander Smorkalov f2ccce23f3 Merge pull request #22512 from alalek:build_warning_gcc12_uninitialized
build: eliminate uninitialized warnings from GCC12
2022-09-20 09:29:00 +03:00
Alex 7d96ef2671 build: harden arm64-build-checks.yml permissions
Signed-off-by: Alex <aleksandrosansan@gmail.com>
2022-09-19 21:01:34 +02:00
Alex 2882725927 build: harden lint_python.yml permissions
Signed-off-by: Alex <aleksandrosansan@gmail.com>
2022-09-19 21:01:06 +02:00
Berke 062cee2933 new multipage image decoder api - ImageCollection 2022-09-19 20:27:01 +03:00
Alexander Smorkalov fcf9f117b0 Merge pull request #22519 from stefan-spiss:stereo_calib_per_obj_extr_ret
Stereo Calibration: Return rotation and transformation vectors for each calibration object
2022-09-19 17:37:40 +03:00
Alexander Smorkalov 0f1cb5ad7c Merge pull request #22444 from catree:feat_calibrate_camera_exe_initial_guess_4.x
Add flag to pass initial guess for camera intrinsics into the calibration exe
2022-09-19 16:25:10 +03:00
Alexander Smorkalov 0ab4872032 Merge pull request #22511 from alalek:dnn_build_warning_gcc12
dnn: eliminate GCC12 warning in total() call
2022-09-19 16:22:54 +03:00
Alexander Smorkalov a6274647a4 Merge pull request #21738 from rogday:gather
add Gather implementation
2022-09-19 16:21:14 +03:00
Egor Smirnov 65f71ce2eb add Gather implementation 2022-09-19 15:06:44 +03:00
Alexander Smorkalov 6aefb8e86f Merge pull request #22290 from fengyuentau:naive_yolov7
Support for YOLOv7 ONNX (not simplified)
2022-09-19 14:43:18 +03:00
fengyuentau 4aef9b1c93 dnn: support yolov7 (not simplified) 2022-09-19 18:38:03 +08:00
Alexander Smorkalov 0ac67ee8d9 Merge pull request #22343 from komakai:android_cam_polling
Poll for frame data if acquisition fails after OnCaptureCompleted
2022-09-19 08:51:13 +03:00
Alexander Alekhin 66b3155a48 Merge pull request #22332 from komakai:android-cam-stride 2022-09-18 14:26:11 +00:00
Giles Payne b3adffe437 Android Camera: poll for frame data if acquisition fails after OnCaptureCompleted 2022-09-18 13:41:36 +09:00
TolyaTalamanov ec92f3fefa Apply comments
* Rename intersectMapWith -> mergeMapWith
* Remove macro
* Add r-value ref
2022-09-16 15:24:13 +00:00
Alexander Smorkalov fb85a83108 Merge pull request #22523 from fengyuentau:update_mirrors_220916
Update mirrors 220916
2022-09-16 16:24:26 +03:00
Alexander Smorkalov 41ef2bfb16 Merge pull request #21945 from driftee:fix-3rdparty_carotene_blur
fix a 3rd party blur3x3 function(the 7th value in tcurr should be set to the 5th value in old tcurr, which will be be overwritten by the 3rd value in old tcurr)
2022-09-16 16:23:09 +03:00
Alexander Smorkalov 1ae801554d Merge pull request #22507 from TolyaTalamanov:at/replace-mfx-major-version-assert-to-warning
G-API: Replace MFX major version assertion to warning
2022-09-16 11:21:08 +03:00
fengyuentau 65998d8076 fix a bug when download from github instead but the subdir is changed to a wrong one 2022-09-16 16:04:20 +08:00
fengyuentau 45a7b71cac bump ADE to 0.1.2a 2022-09-16 16:02:56 +08:00
Alexander Smorkalov e1e9261450 Merge pull request #22479 from scottchou007:master
Fix issues in opencv_test_dnn from conv48 kernels without bias
2022-09-16 09:05:55 +03:00
Alexander Smorkalov 819e5b19b3 Merge pull request #22521 from asmorkalov/as:cuddn_version_non_cache
Do not store full CuDNN version in cache to exclude inconsistency duкing reconfiguration
2022-09-16 07:42:06 +03:00
scottchou007 a3cb2020bc Fix issues in opencv_test_dnn from conv48 kernels using uninitialized tensors when there is no bias. 2022-09-15 13:41:27 -07:00
Alexander Smorkalov a6017ac550 Merge pull request #22145 from danopdev:issues-22141
Fixed  time value obtained on some frames at the end of the video #22141
2022-09-15 19:18:58 +03:00
Alexander Smorkalov 7faeb82585 Merge pull request #22503 from danopdev:android-video-writter
Add H264 / H265 writter support for Android
2022-09-15 18:47:14 +03:00
Alexander Smorkalov 48e50a7674 Extended video timestamp test to cover fix for the issue #22141. 2022-09-15 18:03:23 +03:00
Alexander Smorkalov dc9d775f88 Do not store full CuDNN version in cache to exclude inconsistency during reconfiguration. 2022-09-15 16:15:52 +03:00
Stefan Spiss 66cbb7b911 Extended tests for stereoCalibrate function of fisheye camera model. 2022-09-15 13:28:41 +02:00
Stefan Spiss 9ca3a3139a Extended tests for stereoCalibrate function of pinhole camera model. 2022-09-15 13:28:41 +02:00
Stefan Spiss 6fb465cb4e Extended stereoCalibrate function for fisheye model to return per view rotation and translation vectors between the calibration object coordinate space and the coordinate space of the first camera of the stereo pair. Added overloaded versions of the function for downward compatibility. 2022-09-15 13:28:41 +02:00
Stefan Spiss 8ae03fcd6e Extended stereoCalibrate function for pinhole model to return per view rotation and translation vectors between the calibration object coordinate space and the coordinate space of the first camera of the stereo pair. Added overloaded versions of the function for downward compatibility. 2022-09-15 13:28:41 +02:00
Dan 122250b554 fix #22490 2022-09-15 13:24:18 +02:00
TolyaTalamanov eb8883160d Support config as part of Infer node in yml 2022-09-15 10:47:13 +00:00
Alexander Smorkalov 8af4fe9ed3 Merge pull request #22495 from cpoerschke:4.x-issue-22483
add explicit onChange callback in cocoa cvSetTrackbarPos
2022-09-14 20:40:24 +03:00
Alexander Smorkalov adb5971494 Merge pull request #22516 from ocpalo:patch-1
3rdparty: Update readme.txt for libjpeg-turbo simd
2022-09-14 20:38:57 +03:00
Alexander Smorkalov 377fdf5ae5 Merge pull request #22504 from hflemmen:fix-broken-link
Removes a broken link
2022-09-14 20:01:04 +03:00
Alexander Smorkalov e1272d73fe Merge pull request #22227 from danopdev:issue-22198
Fix issues: #22214 and #22198
2022-09-14 19:59:08 +03:00
ocpalo e3e61078a5 3rdparty: Update readme.txt for libjpeg-turbo simd 2022-09-14 19:20:41 +03:00
Dan 13823f117b #22214 and #22198 2022-09-14 14:19:04 +02:00
Alexander Alekhin 2e15582799 build: eliminate uninitialized warnings from GCC12 2022-09-14 11:58:43 +00:00
Alexander Alekhin 65bdb3a544 dnn: eliminate GCC12 warning in total() call 2022-09-14 11:37:00 +00:00
Alexander Smorkalov ac91c45b0f Merge pull request #22498 from alalek:update_ffmpeg_4.x
ffmpeg/4.x: update FFmpeg wrapper 2022.09
2022-09-14 09:34:12 +03:00
Henrik Dobbe Flemmen 6481cfd048 Update the fourcc codes link 2022-09-14 09:25:57 +03:00
Alexander Smorkalov 0f6b01a531 Merge pull request #22508 from sunshinemyson:TIMVX
Disable default path while search libtim-vx.so with TIMVX_INSTALL_DIR
2022-09-14 09:16:25 +03:00
Alexander Smorkalov 364b3f181d Merge pull request #22372 from ocpalo:libjpegturbo_nasm
[GSoC 2022] nasm/simd support for libjpeg-turbo
2022-09-14 09:08:28 +03:00
ocpalo 04849f26b2 libjpegturbo simd extension update cmake flag 2022-09-13 22:12:52 +03:00
Andrew Chinery 26a7647e0e Fix stitching Python bindings PR #22329 2022-09-13 14:35:42 +01:00
Alexander Smorkalov 8eb036fb3c Merge pull request #22040 from CNClareChen:4.x
Optimize the cvCeil and cvFloor functions for LoongArch
2022-09-13 16:26:20 +03:00
Hao Chen fce8349c99 Optimize the cvCeil and cvFloor functions.
This patch optimizes the cvCeil and cvFloor functions on
the LoongArch platform.

Signed-off-by: Hao Chen <chenhao@loongson.cn>
2022-09-13 10:49:09 +03:00
TolyaTalamanov 5ea912e778 Change warning message 2022-09-13 08:28:34 +01:00
Alexander Smorkalov c2c8da2517 Merge pull request #22448 from Ichini24:reshape-permutations-fix
changed names of permutations if Reshpe is in NHWC
2022-09-13 09:24:56 +03:00
xiang.zhang 1be40554af Disable default path while search libtim-vx.so with TIMVX_INSTALL_DIR
Signed-off-by: xiang.zhang <xiang.zhang@verisilicon.com>
2022-09-13 11:11:49 +08:00
ocpalo d717de5719 nasm/simd support for libjpeg-turbo 2022-09-12 20:26:26 +03:00
TolyaTalamanov bcc19a622d Replace MFX major version assertion to warning 2022-09-12 17:54:00 +01:00
Alexander Alekhin fb3fc5322c videoio(ffmpeg): update tests with new Windows wrapper 2022-09-12 13:09:40 +00:00
Alexander Alekhin 2eff70fbf4 ffmpeg/4.x: update FFmpeg wrapper 2022.09
- FFmpeg 4.4.2
- added AV1 support hrough aom 3.4.0: https://aomedia.googlesource.com/aom/+/refs/tags/v3.4.0
- use Ubuntu 18.04 => 20.04 as build image
2022-09-12 11:30:31 +00:00
Alexander Smorkalov d885242b61 Merge pull request #22482 from Glutamat42:tutorial_generalized_hough_transform
Tutorial for Generalized Hough Ballard and Guil Transform
2022-09-12 10:45:18 +03:00
cudawarped 46d988e2cb Merge pull request #22248 from cudawarped:ffmpeg_rtsp_low_fps
* Allow the number of threads FFMpeg uses to be selected during VideoCapture::open().
Reset interupt timer in grab if
err = avformat_find_stream_info(ic, NULL);
is interupted but open is successful.

* Correct the returned number of threads and amend test cases.

* Update container test case.

* Reverse changes added to existing videoio_container test case and include test combining thread change and raw read in the newly added videoio_read test case.
2022-09-12 09:12:28 +03:00
Alexander Smorkalov 7a5122121b Merge pull request #22497 from ocpalo:patch-1
Update 3rdparty readme.txt for spng
2022-09-12 08:50:48 +03:00
ocpalo 7fc14504b1 Update 3rdparty readme.txt for spng 2022-09-11 23:45:40 +03:00
Christine Poerschke cb1a1e9a51 add explicit onChange callback in cocoa cvSetTrackbarPos 2022-09-11 16:40:27 +01:00
Markus Heck 619e038de9 move tutorial to imgproc and example to ImgTrans 2022-09-10 17:42:20 +02:00
wxsheng 4154bd0667 Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
* Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
* Add resize.lasx.cpp for Loongson SIMD acceleration
* Add imgwarp.lasx.cpp for Loongson SIMD acceleration
* Add LASX acceleration support for dnn/conv
* Add CV_PAUSE(v) for Loongarch
* Set LASX by default on Loongarch64
* LoongArch: tune test threshold for Core/HAL.mat_decomp/15

Co-authored-by: shengwenxue <shengwenxue@loongson.cn>
2022-09-10 09:39:43 +03:00
Markus Heck 5408949951 fix typo and simplify example (grayscale template) 2022-09-09 15:27:11 +02:00
Alexander Smorkalov 866191478f Merge pull request #22037 from xiong-jie-y:py_gapi_add_state_kernel
Add stateful kernel to python G-API
2022-09-09 15:13:22 +03:00
Alexander Smorkalov c9060b053d Merge pull request #22451 from dmatveev:dm/abstract_execs
G-API: Introduce abstract base classes for GExecutor and GStreamingExecutor
2022-09-09 13:42:42 +03:00
Yuantao Feng 9dc844a6e1 Merge pull request #22346 from fengyuentau:mat1d_part1
Changes separated from Mat 1D support in core #18594 (#22346)
2022-09-09 12:56:30 +03:00
Markus Heck e2a9cff3dc Include code snippets with doxygen notation and small fix in table_of_content_objdetect.markdown 2022-09-08 13:03:33 +02:00
Markus Heck c3b83b8354 Tutorial for Generalized Hough Ballard and Guil Transform 2022-09-08 03:40:52 +02:00
Alexander Smorkalov e24382691f Merge pull request #21934 from Yulv-git:3.4-typos2
Fix some typos in platforms/, samples/.
2022-09-07 17:16:23 +03:00
Yulv-git 9074b3e980 Fix some typos in platforms/, samples/, 3rdparty/. 2022-09-07 16:09:23 +03:00
Alexander Smorkalov 65d66a05dd Merge pull request #22480 from gr8jam/fix/pattern_tools:undesiarabe_behaviour_on_windows
Save output file to local directory instead of desktop (for windows)
2022-09-07 10:56:36 +03:00
Matej Jeglic 7de7891c4d Removed intialization of _default_directory 2022-09-07 08:25:31 +02:00
Matej Jeglic 4bec43cf79 Pythonify the 'interpret_fileName function' 2022-09-06 21:08:37 +02:00
Matej Jeglic 6cc0107693 Save output file to local directory instead of desktop (for windows) 2022-09-06 20:53:52 +02:00
Alexander Alekhin ca7f964104 dnn: use inheritance for OpenVINO net impl 2022-09-06 18:05:00 +00:00
Alexander Smorkalov b26fc6f31b Merge pull request #22466 from sturkmen72:patch-4
Improvement on error handling for HoughCircles
2022-09-06 12:01:59 +03:00
Alexander Smorkalov 5fa624f35e Merge pull request #22475 from cabelo:yolov4_models
ADD weights yolov4 in models.yml
2022-09-06 11:29:28 +03:00
TolyaTalamanov 7955469f7c Fix problem with handleNewStream functionality 2022-09-06 08:52:35 +01:00
Alexander Alekhin ce62fc8371 Merge pull request #22474 from alalek:fix_msvs_warning_ffmpeg_test 2022-09-05 23:16:48 +00:00
alessandro faria 2e40b7f113 ADD weights yolov4 in models.yml 2022-09-05 18:22:01 -03:00
Alexander Alekhin 2ac62bccec videoio(test): fix build warning 2022-09-05 16:53:08 +00:00
Suleyman TURKMEN 22eb91a7e0 Update hough.cpp 2022-09-05 18:58:20 +03:00
Alexander Smorkalov 448e3a7e58 Merge pull request #22226 from ocpalo:libspng
[GSoC 2022] spng encoder/decoder added as optional png codec
2022-09-05 13:25:41 +03:00
TolyaTalamanov bf54a370e5 Add tests for stateful kernel functionality 2022-09-04 20:15:53 +01:00
anton 337452b4c0 changed names of permutations if Reshpe is in NHWC 2022-09-03 19:02:41 +02:00
Alexander Alekhin 5bb098ba5d Merge pull request #22456 from TolyaTalamanov:at/onevpl-fixes-linux 2022-09-02 21:55:49 +00:00
Alexander Alekhin 4159842195 Merge pull request #22454 from zihaomu:bug_fix_22450 2022-09-02 21:55:29 +00:00
Zihao Mu b69b1eae8f fix bug 22450 2022-09-02 16:30:06 +08:00
ocpalo c4a6e1fd4d decode chunks and calculate checksums 2022-08-31 20:39:33 +03:00
Alexander Smorkalov 3456d28cc2 Merge pull request #22429 from hanliutong:more-rvv-intrin 2022-08-31 13:14:43 +00:00
Alexander Smorkalov f376bfe95d Merge pull request #22436 from Harvey-Huang:4-bit_palette_color 2022-08-31 10:33:59 +00:00
Alexander Smorkalov a72074b33f Merge pull request #22164 from lamm45:hough-angles
Fix angle discretization in Hough transforms
2022-08-31 12:23:52 +03:00
Alexander Smorkalov 5185544864 Enabled EXIF orientation tests for libspng. 2022-08-31 11:57:48 +03:00
Alexander Smorkalov 7834a465d5 Merge pull request #22443 from catree:feat_calibrate_camera_exe_initial_guess 2022-08-31 07:48:32 +00:00
lamm45 1f0bfc8d83 Fix angle discretization in Hough transforms
In some situations the last value was missing from the discrete theta
values. Now, the last value is chosen such that it is close to the
user-provided maximum theta, while the distance to pi remains always
at least theta_step/2. This should avoid duplicate detections.

A better way would probably be to use max_theta as is and adjust the
resolution (theta_step) instead, such that the discretization would
always be uniform (in a circular sense) when full angle range is used.
2022-08-30 18:46:16 -04:00
Dmitry Matveev a122f0f248 G-API: Introduce GAbstractStreamingExecutor
Now GStreamingExecutor is its subclass; others to come
2022-08-30 23:50:34 +03:00
Dmitry Matveev a31fb88fd0 G-API: Introduce GAbstractExecutor
GExecutor is now a subclass of GAbstractExecutor. Other to come
2022-08-30 22:48:29 +03:00
Alexander Smorkalov 70fb1cd603 Merge pull request #22440 from zihaomu:fix_conv_bug 2022-08-30 07:01:05 +00:00
Alexander Smorkalov d2c48b898c Merge pull request #22306 from zihaomu:qgemm_and_squeeze_opset13_onnximporter 2022-08-30 06:33:57 +00:00
Zihao Mu 2d837efba7 add qgemm and squeeze op13 supported on ONNXImporter 2022-08-30 09:50:29 +08:00
catree 1852d0b9b8 Add flags to set the camera intrinsic parameters as an initial guess (can allow converging to the correct camera intrinsic parameters).
Add -imshow-scale flag to resize the image when displaying the results.
Add -enable-k3 flag to enable or disable the estimation of the K3 distortion coefficient.
2022-08-30 00:45:47 +02:00
catree 837e41f9a7 Add -ws flag for cornerSubPix params (backported from 4.x).
Add flags to set the camera intrinsic parameters as an initial guess (can allow converging to the correct camera intrinsic parameters).
Add -imshow-scale flag to resize the image when displaying the results.
Add -enable-k3 flag to enable or disable the estimation of the K3 distortion coefficient.
2022-08-29 23:55:00 +02:00
Alexander Smorkalov 1fd45a1b85 Merge pull request #22362 from fengyuentau:conv_asym_pad_fuse
Remove asymmetric padding in Conv layer since it is supported in CPU backend
2022-08-29 17:56:17 +03:00
Zihao Mu 2cd7e17b65 replace v_add with + 2022-08-29 17:15:35 +08:00
Alexander Smorkalov 8eb4f72531 Merge pull request #22425 from AleksandrPanov:qrcode_test_arm
QR code, change resize interpolation for Arm
2022-08-29 10:39:27 +03:00
Alexander Smorkalov 2619099fe5 Merge pull request #22337 from zihaomu:load_ONNX_fp16_as_fp32
DNN: load fp16 ONNX model as fp32
2022-08-29 09:32:25 +03:00
fengyuentau 2959286eb5 tengine: supports conv with asymmetric padding 2022-08-29 02:51:26 +00:00
Harvey a4b191a7e0 4-bit_palette_color 2022-08-29 10:21:17 +08:00
Berke 3929e26276 spng encoder/decoder added as optional png codec 2022-08-29 00:03:43 +03:00
Alexander Alekhin a1d5565e65 Merge pull request #22432 from dmatveev:dm/ade_012a 2022-08-28 17:50:15 +00:00
Zihao Mu 9638e34ab0 reuse WORDS_BIGENDIAN. 2022-08-27 07:42:38 +08:00
Dmitry Matveev ed9d4c0b2b G-API: Update ADE to v0.1.2a to fix new Windows warnings 2022-08-26 21:29:56 +03:00
Zihao Mu bb64db98d8 Further optimization of Conv2D, fused Conv_Add_Activation, bring latest code from ficus OpConv.fx. (#22401) 2022-08-26 12:57:25 +03:00
Alexander Smorkalov 88115811a9 Merge pull request #22130 from catree:homography_tutorial_add_exercise
Update homography tutorial with a small exercise
2022-08-26 12:52:55 +03:00
Alexander Smorkalov 67fa8a2f47 Merge pull request #22236 from mizo:v4l2-multi-planar-v2
V4L2: Add multi-planar capture support
2022-08-26 12:51:19 +03:00
Alexander Smorkalov 560eba91e5 Merge pull request #22347 from bu3w:filter-camera-streaming-by-format
select correct MediaType in MSMF backend.
2022-08-26 12:49:47 +03:00
Alexander Smorkalov 42561e1233 Merge pull request #22333 from cudawarped:fix_for_21101
Fix video codec fourcc #21101
2022-08-26 12:34:33 +03:00
HAN Liutong 7e2c8cc9f4 Add remaining intrinsics. 2022-08-26 07:06:51 +00:00
Alexander Smorkalov eea05f5078 Merge pull request #22412 from asenyaev/asen/carotene_warnings_macos_arm64
Suppress warnings in carotene on macOS ARM64 for 3.4 branch
2022-08-26 09:40:30 +03:00
Zihao Mu 7eaec9dd22 load fp16 as fp32 and align fp16 and double in onnx_graph_simplifie 2022-08-26 10:04:44 +08:00
Andrey Senyaev e1305e8d05 Fixed a warning in case of typename on macOS ARM64 2022-08-25 18:17:03 +03:00
AleksandrPanov 2dd3408caa change resize interpolation to enable tests in arm, disable close_5 2022-08-25 14:27:18 +03:00
Alexander Alekhin 3651831e7e Merge pull request #22411 from zihaomu:remove_whitespace 2022-08-24 21:57:36 +00:00
TolyaTalamanov a1d752bfc0 OneVPL fixes 2022-08-24 17:30:32 +01:00
Alexander Smorkalov d10832074e Merge pull request #22353 from hanliutong:more-rvv-intrin
[GSoC] Add more universal intrinsic implementations for RVV.
2022-08-23 12:50:01 +03:00
Daisuke Mizobuchi a001ab3a44 V4L2: Add multi-planar capture support
Devices which only support multi-planar capture cannot be processed as
single-planar.

Add multi-planar support to v4l driver.
2022-08-23 15:52:04 +09:00
Andrey Senyaev ef570e4e13 Suppress warnings in carotene on macOS ARM64 for 3.4 branch 2022-08-22 17:42:22 +03:00
Alexander Smorkalov 7831aae5dd Merge pull request #22410 from zihaomu:silu_support 2022-08-22 12:30:49 +00:00
Alexander Smorkalov 1336da9450 Merge pull request #22407 from Biswa96:cmake-pkgconfig-mingw 2022-08-22 09:50:55 +00:00
MENG Yu 6432f02996 select correct MediaType in MSMF backend. 2022-08-22 12:09:28 +08:00
Zihao Mu 1fb8d60fd2 remove whitespace 2022-08-22 11:14:59 +08:00
Zihao Mu 5e92bf8e41 support silu activation in darknet 2022-08-22 10:51:29 +08:00
Biswapriyo Nath 7e5d012f75 cmake: Enable pkgconfig support for mingw 2022-08-21 12:06:46 +05:30
Anatoliy Talamanov 925ff6241f Merge pull request #22393 from TolyaTalamanov:at/fix-gapi-vpl-windows-build
* Fix G-API OneVPL compilation

* Fix macro

__WIN32__ -> _WIN32
2022-08-20 20:24:41 +03:00
Alexander Smorkalov e14c3cff85 Merge pull request #22403 from Biswa96:add-locale-header 2022-08-19 10:01:23 +00:00
Biswapriyo Nath 984e42b0bc videoio: Include missing locale header for std::wstring_convert
This fixes the following error with mingw toolchain:
opencv/modules/videoio/src/cap_msmf.cpp:1020: error: 'wstring_convert' is not a member of 'std'
 1020 |                                     std::wstring_convert<std::codecvt_utf8_utf16<wchar_t>> conv;
      |                                          ^~~~~~~~~~~~~~~
opencv/modules/videoio/src/cap_ffmpeg_hw.hpp:230:26: error: 'wstring_convert' is not a member of 'std'
  230 |                     std::wstring_convert<std::codecvt_utf8_utf16<wchar_t>> conv;
      |                          ^~~~~~~~~~~~~~~

The locale header is required according to C++ standard.
See https://en.cppreference.com/w/cpp/locale/wstring_convert
2022-08-19 13:15:58 +05:30
Alexander Smorkalov 0702685e7e Merge pull request #22395 from hzcyf:infinite_loop_fix 2022-08-19 07:11:09 +00:00
Alexander Smorkalov 7deb8f568f Merge pull request #22377 from Biswa96:condition_variable 2022-08-18 11:31:21 +00:00
Alexander Smorkalov d8434e6875 Merge pull request #22396 from dmatveev:dm/ade-012
G-API: Bump ADE to version 0.1.2
2022-08-18 14:28:44 +03:00
HAN Liutong b9a1039566 Remove the test log in test_interleave_pq. 2022-08-18 08:01:09 +00:00
Dmtiry Matveev 03130548ea G-API: Bump ADE to version 0.1.2 2022-08-18 07:50:22 +03:00
hzcyf 11c5a6bb4d Fix infinite loop in obsensor 2022-08-18 12:22:22 +08:00
HAN Liutong 8dc332721f Add testcases for interleave_p&q and enable others testcases. 2022-08-17 14:39:23 +00:00
HAN Liutong 189f647264 Add implementation for zip, transpose, interleave, reverse and combine. 2022-08-17 14:38:38 +00:00
Alexander Smorkalov 56baf4ed87 Merge pull request #22382 from AleksandrPanov:qrcode_x86_arm_34 2022-08-16 13:48:48 +00:00
AleksandrPanov 7ffb103758 QRcode, change INTER_LINEAR to INTER_LINEAR_EXACT
fix python test_detect_and_decode_multi

fix python test_detect_and_decode_multi, sort QR in multiDetect/multiDecode

enable tests with "version_5_up.jpg", "version_5_top.jpg"

remove lambda
2022-08-16 10:24:54 +03:00
Alexander Smorkalov 9fcf015214 Merge pull request #22376 from zihaomu:issue_22373 2022-08-15 10:00:11 +00:00
Alexander Smorkalov 27bfab4e6e Merge pull request #22371 from kianelbo:patch-1 2022-08-15 09:32:15 +00:00
Alexander Smorkalov ffccfa2ee9 Merge pull request #22325 from komakai:fix-quicklook 2022-08-15 09:25:43 +00:00
Zihao Mu d3dcef4b8b add new check for vidcap.h 2022-08-15 16:44:25 +08:00
Alexander Smorkalov 3cd36ebc7b Merge pull request #22366 from lukasalexanderweber:4.x 2022-08-15 08:21:44 +00:00
Alexander Alekhin 2ebdc04787 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-08-14 15:50:42 +00:00
Alexander Alekhin cc8add9f66 Merge pull request #22370 from catree:fix_22242_filter2d_float_double_doc 2022-08-14 15:04:12 +00:00
Biswapriyo Nath c2c539e3cc videoio: Include missing condition_variable header
This fixes the following error with mingw toolchain:
opencv/modules/videoio/src/cap_obsensor/obsensor_stream_channel_msmf.hpp:160:10: error: 'condition_variable' in namespace 'std' does not name a type
  160 |     std::condition_variable streamStateCv_;
      |          ^~~~~~~~~~~~~~~~~~
2022-08-14 19:26:08 +05:30
fengyuentau 0cdff46725 tune for opencl 2022-08-14 17:47:48 +08:00
Alexander Alekhin d0d115321d Merge pull request #22350 from alalek:rework_psabi_warning 2022-08-13 15:05:41 +00:00
Kian Eliasi 99683e958a Fix the example in py_calib3d/py_calibration 2022-08-12 19:26:59 +04:30
HAN Liutong f572ae3474 add missing test cases(v_abs) 2022-08-12 14:13:26 +00:00
HAN Liutong e65ad44b32 Remove redundant intrinsics. 2022-08-12 14:12:52 +00:00
catree 3d8614cb47 Fix documentation about depth combinations for imgproc functions. 2022-08-12 12:53:01 +02:00
Alexander Smorkalov d09cc0f30c Merge pull request #22344 from ocpalo:libjpegturbo2.1.3 2022-08-12 10:26:26 +00:00
HAN Liutong 80c82e10aa Update implementations on arithmetics. 2022-08-12 06:51:41 +00:00
HAN Liutong 2fb652ce09 Add testcase for continuous mul and add. 2022-08-12 01:44:30 +00:00
Lukas Weber 1bab920cf5 remove static con_thresh for adjuster 2022-08-11 18:04:28 +02:00
Alexander Smorkalov bb71cb200e Merge pull request #22199 from zihaomu:bug_fix_22195
DNN: Reduce Layer (add dynamic batch and ReduceSum support)
2022-08-11 12:59:51 +03:00
Alexander Smorkalov 48afe1586a Merge pull request #22357 from jspricke:missing_header 2022-08-11 09:50:46 +00:00
fengyuentau e7e814fa8c remove asymmetric padding checks 2022-08-10 19:52:44 +08:00
Jochen Sprickerhof 496eed950f Add missing header for LIBAVCODEC_VERSION_INT 2022-08-08 23:33:28 +02:00
HAN Liutong f0d29cd33c Add more universal intrinsic implementations for RVV. 2022-08-08 02:09:54 +00:00
Alexander Alekhin 75bb6aa9a1 build: disable psabi warning with GCC 7.0 and ARM 2022-08-07 15:46:44 +03:00
Alexander Alekhin 44b2f9637a Revert "suppress warning on GCC 7 and later"
This reverts commit a630ad73cb.
2022-08-07 15:43:10 +03:00
ocpalo 0643165519 update libjpeg-turbo version to 2.1.3 2022-08-05 23:38:57 +03:00
Alexander Smorkalov cde18648dc Merge pull request #22298 from rogday:tutorial_fix 2022-08-05 13:30:18 +00:00
rogday 04e01e2b31 Add new params 2022-08-05 15:08:16 +03:00
Alexander Smorkalov 348b7383f9 Merge pull request #22160 from sturkmen72:update_highgui 2022-08-05 11:39:53 +00:00
Alexander Smorkalov b2b7193374 Merge pull request #22311 from zihaomu:layer_fused_optmized_mish
DNN: add another two Mish activation to onnx_graph_simplifier
2022-08-05 14:22:06 +03:00
Alexander Smorkalov 47a59d72c9 Merge pull request #22135 from rogday:force_reopen 2022-08-05 11:14:23 +00:00
Alexander Smorkalov 163770f99a Merge pull request #22146 from rogday:symcircles 2022-08-05 11:13:14 +00:00
Alexander Smorkalov 4c1e064a2b Merge pull request #22250 from ocpalo:codec_fix 2022-08-05 07:52:32 +00:00
Alexander Smorkalov 88555948d0 Merge pull request #22339 from asenyaev:asen/obsensor_fix_for_win 2022-08-05 06:59:45 +00:00
Alexander Smorkalov 1893b37e23 Merge pull request #22057 from mohawk2:typos
Typos: cheirality vs chirality
2022-08-03 16:27:46 +03:00
Alexander Smorkalov c3cbd302cb Merge pull request #22330 from zihaomu:skip_too_long_in_debug_test_dnn 2022-08-03 11:26:37 +00:00
Alexander Smorkalov 2ffa7ac0da Merge pull request #22217 from CSharperMantle:CSharperMantle-patch-steady-clock
Use `std::chrono::steady_clock` in `getTickCount`
2022-08-03 14:09:45 +03:00
Alexander Smorkalov 885a446b10 Merge pull request #22212 from SergeyIvanov87:gapi_vpl_multiple_devices
G-API: VPL Add VAAPI into tests & VPL sample
2022-08-03 12:34:10 +03:00
Alexander Smorkalov 8bfe620fcc Merge pull request #22313 from mateusztabaka:getline 2022-08-03 09:30:22 +00:00
Andrey Senyaev 129319b0bc Fix in obsensor for VS 14 2022-08-03 12:14:15 +03:00
cudawarped 7ce83f2a95 Skip new test until pr built into windows ffmpeg dll. 2022-08-03 09:41:06 +03:00
cudawarped 4b05765174 Initial fix to try and return a valid fourcc when _opencv_avcodec_get_name fails. 2022-08-02 17:18:42 +03:00
Giles Payne 3390da6beb Fix for frame stride wider than frame width for 1080p issue 2022-08-02 21:00:22 +09:00
Alexander Smorkalov 50707a2741 Merge pull request #22223 from klatism:mobile-dynamically-linked-libs 2022-08-02 09:11:08 +00:00
Zihao Mu 0614c40b42 add more skip for very long test case in test_dnn. 2022-08-02 14:58:05 +08:00
Alexander Smorkalov facd07a732 Merge pull request #22327 from hzcyf:4.x 2022-08-02 06:41:51 +00:00
Alexander Smorkalov 26ac81df3e Merge pull request #22324 from gmbows:typo_fix 2022-08-02 06:36:34 +00:00
Alexander Smorkalov 1ec10ca565 Merge pull request #22309 from asenyaev:asen/ubuntu14.04_workflow 2022-08-02 06:33:01 +00:00
Alexander Smorkalov 26a39c733b Merge pull request #22318 from asenyaev:asen/docs_4.x 2022-08-02 06:24:37 +00:00
Alexander Smorkalov 15f0e2e7cb Merge pull request #22317 from asenyaev:asen/docs_3.4 2022-08-02 06:22:25 +00:00
Zihao Mu d4640f4647 support ReduceLayer without reshape layer. 2022-08-02 10:32:31 +08:00
Andrey Senyaev 4c9364a803 Docs workflow in GHA for 3.4 2022-08-01 10:04:57 +03:00
hzcyf e951edeed3 fix linkage issue when enable BUILD_opencv_world (#22312) 2022-08-01 14:38:22 +08:00
gbowser3@gmail.com e7a787aa41 Imgproc: Fix doxygen typo 2022-07-31 19:22:10 -05:00
Giles Payne 500e24d6cd Fix bug ObjC/Swift Quicklook function; check only one channel when drawing Mat as matrix 2022-07-31 21:04:14 +09:00
Andrey Senyaev 759cbd7486 Docs workflow in GHA for 4.x 2022-07-28 17:46:01 +03:00
Zihao Mu 57545653b1 replace new mish impl with softplus 2022-07-28 13:19:06 +08:00
Zihao Mu 3c5377ca1b add another Mish graph simplifier. 2022-07-28 11:21:29 +08:00
Mateusz Tabaka a89868928b Fix compilation error on CentOS 7 (gcc 4.8)
libstdc++ that comes with gcc 4.8 doesn't
define `getline(basic_istream<char>&&, std::string&)`
even if it's part of the c++11 standard.
However we can still use the following:
`getline(basic_istream<char>&, std::string&)`.
2022-07-27 13:24:25 +00:00
Andrey Senyaev 5bf3991f55 Workflow on Ubuntu 14.04 for 3.4 branch 2022-07-27 10:19:34 +03:00
Smirnov Egor 08696d92ea Add option to force reopen camera in interactive calibration tool 2022-07-26 15:43:40 +03:00
Smirnov Egor 2c2466fb25 Add symmetric circles board 2022-07-26 15:39:33 +03:00
hzc fc3e393516 videoio: add support for obsensor (Orbbec RGB-D Camera ) (#22196)
* videoio: add support for obsensor (Orbbec RGB-D Camera )

* obsensor: code format issues fixed and some code optimized

* obsensor: fix typo and format issues

* obsensor: fix crosses initialization error
2022-07-26 14:35:34 +03:00
Alexander Alekhin ebaf8cc06c Merge pull request #22300 from komakai:fix-Mat-initWithSize 2022-07-26 01:07:07 +00:00
Alexander Alekhin 0862d69a6e Merge pull request #22271 from tomoaki0705:dotprod_neon 2022-07-25 15:00:32 +00:00
Giles Payne b8106e4ba4 Fix bug in Objective-C/Swift [Mat initWithSize:**] functions 2022-07-25 20:57:53 +09:00
Alexander Alekhin 6ce2f1316f Merge pull request #22293 from mshabunin:fix-buffer-area-uas 2022-07-24 10:20:59 +00:00
Alexander Alekhin 294348939b Merge pull request #22296 from alalek:fixup_22153 2022-07-24 10:20:13 +00:00
Alexander Alekhin e2db95184f Merge pull request #22295 from alalek:fixup_22246 2022-07-24 10:16:34 +00:00
Alexander Alekhin f8597fc150 imgproc: fixup leftovers of int->int64_t conversion 2022-07-24 12:39:25 +03:00
Alexander Alekhin 85b0b0cd77 build: add missing GCC condition for pragma 2022-07-24 12:19:37 +03:00
HAN Liutong 2bd72af2ef Merge pull request #22292 from hanliutong:fix
[GSoC] Fix compilation errors and warnings when using MSVC on Windows.

* Pass reference of the argument.

* Add some cast to suppress warnings.
2022-07-24 12:15:13 +03:00
Maksim Shabunin f729202272 core: remove unnecessary pointer cleanup in BufferArea 2022-07-24 11:58:17 +03:00
Alexander Alekhin 47f30a04d2 Merge pull request #22278 from hanliutong:fix 2022-07-22 16:49:14 +00:00
Alexander Alekhin a42b35598e Merge pull request #22280 from asenyaev:asen/android_4.x 2022-07-22 09:58:28 +00:00
Alexander Alekhin db53f4533e Merge pull request #22279 from asenyaev:asen/android_3.4 2022-07-22 09:57:44 +00:00
Andrey Senyaev 71e33265f5 Android GHA workflow for 4.x branch 2022-07-21 17:59:16 +03:00
Andrey Senyaev a016f6022c Android GHA workflow for 3.4 branch 2022-07-21 17:47:55 +03:00
HAN Liutong 3e3b53f815 Fix compile errors when all SIMD is disabled. 2022-07-21 08:14:32 +00:00
HAN Liutong e2bfe0ce76 Use "#if" instead of "#ifdef" for CV_SIMD128. 2022-07-21 03:23:57 +00:00
Zihao Mu 98c33c605d batchsize dynamic is set to index 0. 2022-07-20 19:02:16 +08:00
Tomoaki Teshima b3269b08a1 neon: add dotprod dispatch implementation
* read vector at runtime
     * add enum
2022-07-20 19:25:39 +09:00
@lizhiyu3 e59cff47d4 fix the right border 2022-07-20 17:03:09 +08:00
Alexander Alekhin 47912431e6 Merge pull request #22269 from asenyaev:asen/fix_python_recursion 2022-07-19 21:41:30 +00:00
HAN Liutong 0ef803950b Merge pull request #22179 from hanliutong:new-rvv
[GSoC] New universal intrinsic backend for RVV

* Add new rvv backend (partially implemented).

* Modify the framework of Universal Intrinsic.

* Add CV_SIMD macro guards to current UI code.

* Use vlanes() instead of nlanes.

* Modify the UI test.

* Enable the new RVV (scalable) backend.

* Remove whitespace.

* Rename and some others modify.

* Update intrin.hpp but still not work on AVX/SSE

* Update conditional compilation macros.

* Use static variable for vlanes.

* Use max_nlanes for array defining.
2022-07-19 20:02:00 +03:00
Alexander Alekhin 3c23a44786 Merge pull request #22267 from asenyaev:asen/rename_lin_arm_pipelines_4.x 2022-07-19 14:24:25 +00:00
Alexander Alekhin 701d0d9905 Merge pull request #22266 from asenyaev:asen/rename_lin_arm_pipelines 2022-07-19 14:23:52 +00:00
Alexander Alekhin d4e1d89901 Merge pull request #22270 from tomoaki0705:fix_layout 2022-07-19 14:20:33 +00:00
Tomoaki Teshima 14aa9eaadd doc: fix layout 2022-07-19 21:44:07 +09:00
Andrey Senyaev 1feabf4275 Fixed an issue with a recursion of cv2 in python 2022-07-19 13:52:29 +03:00
Andrey Senyaev 65c173f2a3 Linux ARM64 rename ubuntu version on 4.x 2022-07-19 13:12:50 +03:00
Andrey Senyaev 697acf7f6a Linux ARM64 rename ubuntu version on 3.4 2022-07-19 13:10:12 +03:00
rogday ed69bcae2d Merge pull request #21865 from rogday:nary_eltwise_layers
Reimplementation of Element-wise layers with broadcasting support

* init

* semi-working initial version

* add small_vector

* wip

* remove smallvec

* add nary function

* replace auto with Mat in lambda expr used in transform

* uncomment asserts

* autobuffer shape_buf & step_buf

* fix a missing bracket

* fixed a missing addLayer in parseElementWise

* solve one-dimensional broadcast

* remove pre_broadcast_transform for the case of two constants; fix missing constBlobsExtraInfo when addConstant is called

* one autobuffer for step & shape

* temporal fix for the missing original dimension information

* fix parseUnsqueeze when it gets a 1d tensor constant

* support sum/mean/min/max with only one input

* reuse old code to handle cases of two non-constant inputs

* add condition to handle div & mul of two non-constant inputs

* use || instead of or

* remove trainling spaces

* enlarge buf in binary_forward to contain other buffer

* use autobuffer in nary_forward

* generate data randomly and add more cases for perf

* add op and, or & xor

* update perf_dnn

* remove some comments

* remove legacy; add two ONNX conformance tests in filter

* move from cpu_denylist to all_denylist

* adjust parsing for inputs>=2

Co-authored-by: fengyuentau <yuantao.feng@opencv.org.cn>
2022-07-19 06:14:05 +03:00
Alexander Alekhin 728545468c Merge pull request #22257 from rogday:save_frames_fix 2022-07-18 18:27:33 +00:00
rogday 33b1e76e48 fix save_frames parameter 2022-07-18 12:53:04 +03:00
Alexander Alekhin 1d134025a5 Merge pull request #22249 from fengyuentau:fix_for_22221 2022-07-16 11:59:30 +00:00
Alexander Alekhin 96a9cfab36 Merge pull request #22255 from r2d3:python_trackbar_macos 2022-07-16 07:40:40 +00:00
Alexander Alekhin c9e10e1d0b Merge pull request #22225 from scorpiozj:patch-1 2022-07-16 07:40:14 +00:00
David Geldreich 60846b2b7a correct an issue of trackbar on macOS
Python binding is passing NULL as (int*)value.
sliderChanged crash when trying to dereference value
2022-07-15 22:02:02 +02:00
Alexander Alekhin 6fe7886e2b Merge pull request #22254 from longnguyen2004:mingw-strsafe 2022-07-15 19:55:16 +00:00
Long Nguyen 199c2d2fd0 Define STRSAFE_NO_DEPRECATE for both clang and gcc mingw-w64 2022-07-15 18:01:15 +07:00
scorpiozj bd54ba911d Update imgproc.hpp
fix Rect value of integral image example;
2022-07-15 16:35:12 +08:00
Alexander Alekhin a9354fc743 Merge pull request #22229 from zihaomu:bug_fix_22195_3_4 2022-07-14 20:27:25 +00:00
Berke b4b69ae484 release png,jpeg resources in destructor 2022-07-14 17:03:57 +03:00
fengyuentau 1c7b71bf9e define data_layout as unknown for pack 2022-07-14 19:27:20 +08:00
Alexander Alekhin 1377f0147e Merge pull request #22246 from asenyaev:asen/fix_warning_lnx_arm64_3.4 2022-07-14 11:09:04 +00:00
Andrey Senyaev d2b1e38207 Pragma to ignore -Waggressive-loop-optimizations on Linux ARM64 2022-07-14 11:17:38 +03:00
Prasanth R 5acf351e4b #21804 Add opencv_gapi as dep to samples/cpp 2022-07-14 13:34:54 +05:30
SergeyIvanov87 9ffb67478f Address several comments 2022-07-13 18:49:48 +03:00
SergeyIvanov87 1dee848d3e Remove clnn header from sample 2022-07-13 18:07:41 +03:00
Alexander Alekhin afe1c70f2d Merge pull request #22228 from CSharperMantle:CSharperMantle-patch-std-shuffle 2022-07-13 06:23:16 +00:00
Zihao Mu 1b8fba8e26 support ReduceSum with two input and dynamic shape batch size in ReduceLayer. 2022-07-13 13:46:16 +08:00
Zihao Mu 45fbb67aba fix scale layer can not handle 1x1 weight correctly. 2022-07-13 11:25:27 +08:00
Alexander Alekhin 914005174f Merge pull request #22153 from vrabaud:opencv_drawing 2022-07-12 22:23:35 +00:00
Alexander Alekhin 2a82467a6f Merge pull request #22232 from tomoaki0705:dryCmake 2022-07-12 18:46:57 +00:00
Alexander Alekhin a233232b7d Merge pull request #22234 from vrabaud:34_calib 2022-07-12 18:15:25 +00:00
Vincent Rabaud ed4bf13960 Fix cleanFoundConnectedQuads. 2022-07-12 16:24:44 +02:00
Rong Mantle Bao 3135063100 Make objdetect/test C++11-compliant and reproducible
- Add conditional compilation directives to replace deprecated std::random_shuffle with new std::shuffle when C++11 is available.

- Set random seed to a fixed value before shuffling containers to ensure reproducibility.

Resolves opencv/opencv#22209.
2022-07-12 20:18:54 +08:00
Tomoaki Teshima 87ef6a9cc1 build: suppress the warning
DRY
bump the version
2022-07-12 19:42:39 +09:00
SergeyIvanov87 ff31f90b7e Fix sample WIN compilation 2022-07-12 13:08:55 +03:00
SergeyIvanov87 2b2ba534e2 Forbid Rctx in IE for VAAPI temporary, Add preproc VAAPI 2022-07-12 12:41:23 +03:00
SergeyIvanov87 3635b3dee7 Improve UX: autofill cfg param with proper accel type, printout cfg params 2022-07-12 10:54:12 +03:00
Rong Mantle Bao fa613e393f Read CV_CXX11 for C++11 detection 2022-07-10 19:21:17 +08:00
Michael Klatis 7d3dbcb027 dynamically linked libs on mobile 2022-07-09 21:45:58 -07:00
Rong Mantle Bao db70676933 Use cross-platform std::chrono in getTickCount()
Add conditional compilation directives to enable uses of std::chrono on supported compilers. Use std::chrono::steady_clock as a source to retrieve current tick count and clock frequency.

Fixes opencv/opencv#6902.
2022-07-09 10:42:29 +08:00
SergeyIvanov87 b3b235ebc0 Apply WITHA_VA option in cmake 2022-07-08 17:15:31 +03:00
Alexander Alekhin 70492c2127 Merge pull request #22202 from tomoaki0705:fixWarnings 2022-07-08 13:48:11 +00:00
SergeyIvanov87 f562264674 Add VAAPI into tests & VPL sample 2022-07-08 11:43:56 +03:00
Vincent Rabaud 0a88f84847 Merge pull request #22208 from vrabaud:34_calibinit
Add missing code.

* Add missing code.

This was removed in c7fc563dc0
The resize is also a side-effect.

* Use shorteer cv::Point2f *=
2022-07-08 01:24:01 +03:00
Zihao Mu 139c443770 Merge pull request #22183 from zihaomu:fastConv_ARMv7_compatible
DNN: ARMv7 compatible fastConv

* support armv7 on fastConv

* remove whitespace.
2022-07-07 13:23:08 +03:00
Tomoaki Teshima a630ad73cb suppress warning on GCC 7 and later 2022-07-06 23:31:31 +09:00
@lizhiyu3 366e8217c2 merge the fixbug 2022-07-06 01:09:46 +08:00
@lizhiyu3 01226cb8ac fix the bug when src*2 < dst 2022-07-06 01:01:16 +08:00
Alexander Alekhin 3891b72f33 Merge pull request #22189 from p12tic:document-calchist-overload 2022-07-05 16:16:20 +00:00
Zihao Mu a80fcacd90 Merge pull request #21372 from zihaomu:dnn_quantize_per_tensor
Add per_tensor_quantize to int8 quantize

* add per_tensor_quantize to dnn int8 module.

* change api flag from perTensor to perChannel, and recognize quantize type and onnx importer.

* change the default to hpp
2022-07-05 19:14:42 +03:00
@lizhiyu3 c54ccaac31 change test number 2022-07-05 15:50:33 +08:00
@lizhiyu3 79731cb0ff fix the bug when src*2 < dst 2022-07-05 15:43:52 +08:00
Alexander Alekhin 16b5fd4bf2 Merge pull request #22102 from jwinarske:jw/xdg_shell 2022-07-04 22:59:29 +00:00
Yuantao Feng fb9463c55f Merge pull request #22186 from fengyuentau:ci_job_rename_4.x
Rename jobs for better understanding for branch 4.x

* rename jobs

* remove dots from job names

* correct ubuntu version for linux arm64
2022-07-05 01:46:01 +03:00
Yuantao Feng 2920a8e0ec Merge pull request #22185 from fengyuentau:ci_job_rename_3.4
Rename jobs for better understanding for branch 3.4

* rename jobs

* remove dots from job names

* correct ubuntu version for linux arm64
2022-07-05 01:45:14 +03:00
Povilas Kanapickas 6a4c3b61e6 Improve doc of calcHist overload that accepts vectors
It's not clear how ranges argument should be used in the overload of
calcHist that accepts std::vector. The main overload uses array of
arrays there, while std::vector overload uses a plain array. The code
interprets the vector as a flattened array and rebuilds array of arrays
from it. This is not obvious interpretation, so documentation has been
added to explain the expected usage.
2022-07-04 12:19:16 +03:00
heavyrain-lzy 6360c3bf46 Merge pull request #22184 from heavyrain-lzy:fixbug_pyrUp
* fix the bug in pyrUp

* add test case for pyrUp

* coding style
2022-07-03 23:06:43 +03:00
Alexander Alekhin e313603aac Merge pull request #22182 from alalek:build_fix_warnings 2022-07-02 19:20:17 +00:00
Alexander Alekhin 0f3de805f4 build: fix warnings 2022-07-02 00:56:10 +03:00
Alexander Alekhin 3bf22d0024 Merge pull request #22156 from vpisarev:update_cvround 2022-07-01 12:17:38 +00:00
Alexander Alekhin 66567933d7 Merge pull request #22163 from philipphutterer:vcap-frame-type 2022-07-01 12:16:45 +00:00
Alexander Alekhin 56e19e3494 Merge pull request #22173 from ycs77:patch-2 2022-07-01 12:14:57 +00:00
Alexander Alekhin d2f5a10f5d Merge pull request #22176 from danopdev:doc-update-1 2022-07-01 12:13:45 +00:00
Dan 32bb4fa950 Update doc 2022-07-01 13:33:05 +02:00
Alexander Alekhin 8ae06b4648 Merge pull request #22111 from asenyaev:asen/ios_workflow_3.4 2022-07-01 10:06:15 +00:00
Alexander Alekhin 652396678d Merge pull request #22110 from asenyaev:asen/ios_workflow_4.x 2022-07-01 10:06:00 +00:00
Zihao Mu 59b870a87a Merge pull request #21910 from zihaomu:fast_conv_ARM
DNN: Accelerating convolution

* Fast Conv of ARM, X86 and universal intrinsics.

* improve code style.

* error fixed.

* improve the License

* optimize memory allocated and Adjust the threshold.

* change FasterRCNN_vgg16 to 2GB memory.
2022-07-01 13:03:15 +03:00
Suleyman TURKMEN 0f067fd0a6 make imgcodecs optional for highgui 2022-07-01 10:53:37 +03:00
rogday b91f173680 Merge pull request #22147 from rogday:zoom_factor
Add zoom factor to interactive calibration tool

* add zoom factor

* address review comments
2022-06-30 23:31:52 +03:00
Andrey Senyaev a311d1bdc0 Workflow for labeled iOS PRs in 4.x branch 2022-06-30 11:22:34 +03:00
Alexander Alekhin eb7add1828 Merge pull request #22169 from tomoaki0705:OrinCC 2022-06-29 20:41:04 +00:00
Lucas Yang b152b8cbcd Fix missing CharVector for JavaScript bindings 2022-06-30 04:07:43 +08:00
Tomoaki Teshima 2336b0706d add support for Orin GPU 2022-06-29 20:35:27 +09:00
Andrey Senyaev 300b57dd70 Workflow for labeled iOS PRs in 3.4 branch 2022-06-27 21:34:15 +03:00
Joel Winarske 0769bf416f highgui Wayland xdg_shell
-enable using -DWITH_WAYLAND=ON
-adapted from https://github.com/pfpacket/opencv-wayland
-using xdg_shell stable protocol
-overrides HAVE_QT if HAVE_WAYLAND and WITH_WAYLAND are set

Signed-off-by: Joel Winarske <joel.winarske@gmail.com>

Co-authored-by: Ryo Munakata <afpacket@gmail.com>
2022-06-26 12:11:09 -07:00
Philipp Hutterer 90f2e1f8b5 Frame type property for ffmpeg video capture 2022-06-26 17:30:31 +02:00
Alexander Alekhin 2a4926f417 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-06-26 14:22:24 +00:00
Alexander Alekhin 5e1c9099e8 Merge pull request #22158 from lamm45:intro-typos 2022-06-26 14:20:22 +00:00
Alexander Alekhin 397e9bc8d6 Merge pull request #22137 from danopdev:issues-22126 2022-06-25 15:21:55 +00:00
dan 2366f2cb2e issues-22126 2022-06-25 15:12:59 +02:00
Sean McBride 35f1a90df7 Merge pull request #22149 from seanm:sprintf
Replaced sprintf with safer snprintf

* Straightforward replacement of sprintf with safer snprintf

* Trickier replacement of sprintf with safer snprintf

Some functions were changed to take another parameter: the size of the buffer, so that they can pass that size on to snprintf.
2022-06-25 06:48:22 +03:00
lamm45 9faefa0c96 Fix minor errors in the first documentation page (Introduction)
This markdown file corresponds to the first link on the landing
page of OpenCV documentation.
2022-06-24 14:03:14 -04:00
Vadim Pisarevsky b5adffd5c2 * cleaned cvRound(), cvFloor() and cvCeil() implementations, removed the old non-banking rounding branch completely
* enable the use of GCC/clang __builtin_*() functions more broadly
2022-06-24 14:58:32 +03:00
Vincent Rabaud 82010bf5c1 Fix some overflows in drawing. 2022-06-24 11:38:20 +02:00
Alexander Alekhin 6234f01a6d Merge pull request #22148 from zihaomu:gemm_onnx_bug_fix_branch34 2022-06-23 22:35:36 +00:00
dan 44c2519d75 issues-22141 2022-06-23 15:09:17 +02:00
Zihao Mu ef94275eb6 bug fixed of GEMM node in ONNX_importer 2022-06-22 21:08:48 +08:00
Wanli a6ca48a1c2 Merge pull request #22100 from WanliZhong:issue_22015
Fix issue 22015, let Clip layer support 1-3 inputs

* Fix issue 22015.
Let layer Clip support 1-3 inputs.

* Resolve other problems caused by modifications

* Update onnx_importer.cpp

added extra checks to min/max handling in Clip

* Add assertions to check the size of the input

* Add test for clip with min and max initializers

* Separate test for "clip_init_min_max". Change the check method for input_size to provide a clearer message in case of problem.

* Add tests for clip with min or max initializers

* Change the implementation of getting input

Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
2022-06-22 14:21:16 +03:00
Alexander Alekhin 24a66a44bf Merge pull request #22122 from zihaomu:gemm_onnx_bug_fix 2022-06-22 08:56:47 +00:00
Zihao Mu 2411b825b4 bug fixed of GEMM node in ONNX_importer 2022-06-22 15:00:17 +08:00
Kumataro dd7b9000ad Merge pull request #22064 from Kumataro:3.4-fix22052
* imgcodecs: jpeg: add IMWRITE_JPEG_SAMPLING_FACTOR parameter

* fix compile error

* imgcodecs: jpeg: add CV_LOG_WARNING() and fix how to initilize Mat

* imgcodecs: jpeg: fix for C++98 mode.

* samples: imgcodec_jpeg: Remove license
2022-06-20 21:42:50 +03:00
catree f1328c7395 Add a small exercise to show the warping of the homography transformations step-by-step. 2022-06-19 22:59:50 +02:00
Alexander Alekhin 9d06e58c3c Merge pull request #22127 from catree:update_homography_tutorial 2022-06-19 10:52:52 +00:00
Alexander Alekhin 711b136191 Merge pull request #22124 from vrabaud:3.4_sanitizer 2022-06-19 10:51:36 +00:00
catree a04f9e7a59 Add more references. Update missing references with webarchive. Use mathbf for matrices. Check that the determinant of the rotation matrix is not negative (reflection), and correct it if it is the case. 2022-06-19 01:27:32 +02:00
Christine Poerschke db5b22e895 Merge pull request #22065 from cpoerschke:3.4-apps-visualisation-configurable-codec
* apps/opencv_visualisation: configurable video codec

* Update apps/visualisation/opencv_visualisation.cpp
2022-06-17 14:48:30 +03:00
Vincent Rabaud 0d52c37e11 Fix typo that prevents compilation with sanitizer. 2022-06-17 11:40:22 +02:00
Alexander Alekhin 734e309b3e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-06-16 11:04:50 +00:00
Alexander Alekhin 3efc645975 Merge pull request #22103 from fengyuentau:macOS_workflows_for_3.4 2022-06-15 18:32:26 +00:00
fengyuentau 572812217b re-commit: add workflows for macOS for 3.4 2022-06-15 18:25:35 +08:00
Alexander Alekhin 008507327c Merge pull request #22104 from fengyuentau:macOS_workflows_for_4.x 2022-06-15 07:54:38 +00:00
fengyuentau f4a6c3e7ea add workflows for macOS for 4.x 2022-06-15 11:02:07 +08:00
Alexander Alekhin ff41fbc5c1 Merge pull request #22091 from mukai1011:3.4 2022-06-14 21:35:08 +00:00
Alexander Alekhin cac864192c Merge pull request #22080 from vrabaud:fix_arm 2022-06-13 18:17:24 +00:00
Alexander Alekhin b19683eb41 Merge pull request #22089 from tailsu:sd/fix-displaymatrix-orientation 2022-06-13 18:17:08 +00:00
Vincent Rabaud 7a46d7efde Fix compilation on some ARM architecture.
This condition is the same as the line above.
2022-06-13 17:39:24 +02:00
Stefan Dragnev d09bd6f862 correct direction of displaymatrix rotation 2022-06-13 14:15:39 +00:00
Alexander Alekhin 7676be5570 Merge pull request #22079 from asmorkalov:as/calibration_save_frames 2022-06-11 10:39:05 +00:00
Kôtaro Mukai ed9524e125 Missing import 2022-06-11 18:42:30 +09:00
Alexander Smorkalov 533bb035cf Save Frames option for interactive calibration tool
The option to save all frames that contribute to final calibration result.
Useful for dataset collection and further offline tuning.
2022-06-10 09:32:58 +03:00
Alexander Alekhin dda2e9374b Merge pull request #22018 from RidgeRun:gstreamer-consider-video-meta-if-available 2022-06-08 20:25:24 +00:00
Alexander Alekhin 14754deb21 Merge tag '4.6.0' 2022-06-05 19:23:41 +00:00
Alexander Alekhin c103b63fe1 Merge tag '3.4.18' 2022-06-05 15:16:54 +00:00
Alexander Alekhin a3d0882317 release: OpenCV 3.4.18 2022-06-05 07:52:44 +00:00
xiong-jie-y ea2527c2d1 Add python bindings for G-API onnx 2022-06-02 19:09:26 +09:00
Ed J f28e191d70 cheirality -> chirality 2022-06-01 00:54:44 +01:00
Ed J 38b6c44b4c for then given -> for the given 2022-06-01 00:54:44 +01:00
xiong-jie-y a3d6994afa Add stateful kernel to python G-API 2022-05-26 01:15:56 +09:00
Michael Gruner 6a22c5b2b5 Consider video meta on GStreamer video capture
Some GStreamer elements may produce buffers with very non
standard strides, offsets and/or even transport each plane
in different, non-contiguous pointers. This non-standard
layout is communicated via GstVideoMeta structures attached
to the buffers. Given this, when a GstVideoMeta is available,
one should parse the layout from it instead of generating
a generic one from the caps.

The GstVideoFrame utility does precisely this: if the buffer
contains a video meta, it uses that to fill the format and
memory layout. If there is no meta available, the layout is
inferred from the caps.
2022-05-22 20:08:44 -06:00
lgx 2b8094f915 fix a blur3x3 function 2022-05-02 20:42:41 +08:00
3710 changed files with 513881 additions and 134423 deletions
+3
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# These are supported funding model platforms
github: opencv
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name: Bug Report
description: Create a report to help us reproduce and fix the bug
labels: ["bug"]
body:
- type: markdown
attributes:
value: >
#### Thank you for contributing! Before reporting a bug, please have a look at the [FAQ](https://github.com/opencv/opencv/wiki/FAQ), make sure the issue has no duplicate and hasn't been already addressed by searching through [the existing and past issues](https://github.com/opencv/opencv/issues?page=1&q=is%3Aissue+sort%3Acreated-desc).
- type: textarea
attributes:
label: System Information
description: |
Please provide the following system information to help us diagnose the bug. For example:
// example for c++ user
OpenCV version: 4.8.0
Operating System / Platform: Ubuntu 20.04
Compiler & compiler version: GCC 9.3.0
// example for python user
OpenCV python version: 4.8.0.74
Operating System / Platform: Ubuntu 20.04
Python version: 3.9.6
validations:
required: true
- type: textarea
attributes:
label: Detailed description
description: |
Please provide a clear and concise description of what the bug is and paste the error log below. It helps improving readability if the error log is wrapped in ```` ```triple quotes blocks``` ````.
placeholder: |
A clear and concise description of what the bug is.
```
# error log
```
validations:
required: true
- type: textarea
attributes:
label: Steps to reproduce
description: |
Please provide a minimal example to help us reproduce the bug. Code should be wrapped with ```` ```triple quotes blocks``` ```` to improve readability. If the code is too long, please attach as a file or create and link a public gist: https://gist.github.com.
Related data files (images, onnx, etc) should be attached below as well. If the data files are too big, feel free to upload them to a online drive, share them and put the link below.
placeholder: |
```cpp (replace cpp with python if python code)
# sample code to reproduce the bug
```
Test data: [image](https://link/to/the/image), [model.onnx](htts://link/to/the/onnx/model)
validations:
required: true
- type: checkboxes
attributes:
label: Issue submission checklist
options:
- label: I report the issue, it's not a question
required: true
- label: I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
- label: I updated to the latest OpenCV version and the issue is still there
- label: There is reproducer code and related data files (videos, images, onnx, etc)
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blank_issues_enabled: true
contact_links:
- name: Questions
url: https://forum.opencv.org/
about: Ask questions and discuss with OpenCV community members
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name: Documentation
description: Report an issue related to https://docs.opencv.org/
labels: ["category: documentation"]
body:
- type: markdown
attributes:
value: >
#### Thank you for contributing! Before submitting a doc issue, please make sure it has no duplicate by searching through [the existing and past issues](https://github.com/opencv/opencv/issues?page=1&q=is%3Aissue+sort%3Acreated-desc)
- type: textarea
attributes:
label: Describe the doc issue
description: >
Please provide a clear and concise description of what content in https://docs.opencv.org/ is an issue. Note that there are multiple active branches, such as 4.x and 5.x, so please specify the branch with the problem.
placeholder: |
A clear and concise description of what content in https://docs.opencv.org/ is an issue.
Link to the doc: https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html
validations:
required: true
- type: textarea
attributes:
label: Fix suggestion
description: >
Tell us how we could improve the documentation in this regard.
@@ -0,0 +1,22 @@
name: Feature request
description: Submit a request for a new OpenCV feature
labels: ["feature"]
body:
- type: markdown
attributes:
value: >
#### Thank you for contributing! Before submitting a feature request, please make sure the request has no duplicate by searching through [the existing and past issues](https://github.com/opencv/opencv/issues?page=1&q=is%3Aissue+sort%3Acreated-desc)
- type: textarea
attributes:
label: Describe the feature and motivation
description: |
Please provide a clear and concise proposal of the feature and outline the motivation.
validations:
required: true
- type: textarea
attributes:
label: Additional context
description: |
Add any other context, such as pseudo code, links, diagram, screenshots, to help the community better understand the feature request.
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See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
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name: 4.x
on:
schedule:
- cron: '0 3 * * *'
workflow_dispatch:
jobs:
CodeQL:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-CodeQL.yaml@main
with:
target_branch: '4.x'
workflow_branch: main
+42 -6
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@@ -6,14 +6,50 @@ on:
- 4.x
jobs:
ARM64:
Linux:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Linux.yaml@main
with:
workflow_branch: main
Windows:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-Windows.yaml@main
with:
workflow_branch: main
Ubuntu2404-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64.yaml@main
U20:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20.yaml@main
Ubuntu2404-ARM64-Debug:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64-Debug.yaml@main
W10:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-W10.yaml@main
Ubuntu2004-x64-OpenVINO:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20-OpenVINO.yaml@main
Ubuntu2004-x64-CUDA:
if: "${{ contains(github.event.pull_request.labels.*.name, 'category: dnn') }} || ${{ contains(github.event.pull_request.labels.*.name, 'category: dnn (onnx)') }}"
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20-Cuda.yaml@main
macOS-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-ARM64.yaml@main
macOS-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-x86_64.yaml@main
macOS-ARM64-Vulkan:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-ARM64-Vulkan.yaml@main
iOS:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-iOS.yaml@main
Android-SDK:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-4.x-Android-SDK.yaml@main
TIM-VX:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-timvx-backend-tests-4.x.yml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-timvx-backend-tests-4.x.yml@main
docs:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-docs.yaml@main
Linux-RISC-V-Clang:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-RISCV.yaml@main
+3
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@@ -2,6 +2,9 @@ name: arm64 build checks
on: workflow_dispatch
permissions:
contents: read # to fetch code (actions/checkout)
jobs:
build:
+2
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@@ -1,5 +1,7 @@
name: lint_python
on: workflow_dispatch
permissions:
contents: read # to fetch code (actions/checkout)
jobs:
lint_python:
runs-on: ubuntu-latest
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+366
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@@ -0,0 +1,366 @@
/*!
* Copyright (c) 2017 by Contributors
* \file dlpack.h
* \brief The common header of DLPack.
*/
#ifndef DLPACK_DLPACK_H_
#define DLPACK_DLPACK_H_
/**
* \brief Compatibility with C++
*/
#ifdef __cplusplus
#define DLPACK_EXTERN_C extern "C"
#else
#define DLPACK_EXTERN_C
#endif
/*! \brief The current major version of dlpack */
#define DLPACK_MAJOR_VERSION 1
/*! \brief The current minor version of dlpack */
#define DLPACK_MINOR_VERSION 1
/*! \brief DLPACK_DLL prefix for windows */
#ifdef _WIN32
#ifdef DLPACK_EXPORTS
#define DLPACK_DLL __declspec(dllexport)
#else
#define DLPACK_DLL __declspec(dllimport)
#endif
#else
#define DLPACK_DLL
#endif
#include <stdint.h>
#include <stddef.h>
#ifdef __cplusplus
extern "C" {
#endif
/*!
* \brief The DLPack version.
*
* A change in major version indicates that we have changed the
* data layout of the ABI - DLManagedTensorVersioned.
*
* A change in minor version indicates that we have added new
* code, such as a new device type, but the ABI is kept the same.
*
* If an obtained DLPack tensor has a major version that disagrees
* with the version number specified in this header file
* (i.e. major != DLPACK_MAJOR_VERSION), the consumer must call the deleter
* (and it is safe to do so). It is not safe to access any other fields
* as the memory layout will have changed.
*
* In the case of a minor version mismatch, the tensor can be safely used as
* long as the consumer knows how to interpret all fields. Minor version
* updates indicate the addition of enumeration values.
*/
typedef struct {
/*! \brief DLPack major version. */
uint32_t major;
/*! \brief DLPack minor version. */
uint32_t minor;
} DLPackVersion;
/*!
* \brief The device type in DLDevice.
*/
#ifdef __cplusplus
typedef enum : int32_t {
#else
typedef enum {
#endif
/*! \brief CPU device */
kDLCPU = 1,
/*! \brief CUDA GPU device */
kDLCUDA = 2,
/*!
* \brief Pinned CUDA CPU memory by cudaMallocHost
*/
kDLCUDAHost = 3,
/*! \brief OpenCL devices. */
kDLOpenCL = 4,
/*! \brief Vulkan buffer for next generation graphics. */
kDLVulkan = 7,
/*! \brief Metal for Apple GPU. */
kDLMetal = 8,
/*! \brief Verilog simulator buffer */
kDLVPI = 9,
/*! \brief ROCm GPUs for AMD GPUs */
kDLROCM = 10,
/*!
* \brief Pinned ROCm CPU memory allocated by hipMallocHost
*/
kDLROCMHost = 11,
/*!
* \brief Reserved extension device type,
* used for quickly test extension device
* The semantics can differ depending on the implementation.
*/
kDLExtDev = 12,
/*!
* \brief CUDA managed/unified memory allocated by cudaMallocManaged
*/
kDLCUDAManaged = 13,
/*!
* \brief Unified shared memory allocated on a oneAPI non-partititioned
* device. Call to oneAPI runtime is required to determine the device
* type, the USM allocation type and the sycl context it is bound to.
*
*/
kDLOneAPI = 14,
/*! \brief GPU support for next generation WebGPU standard. */
kDLWebGPU = 15,
/*! \brief Qualcomm Hexagon DSP */
kDLHexagon = 16,
/*! \brief Microsoft MAIA devices */
kDLMAIA = 17,
} DLDeviceType;
/*!
* \brief A Device for Tensor and operator.
*/
typedef struct {
/*! \brief The device type used in the device. */
DLDeviceType device_type;
/*!
* \brief The device index.
* For vanilla CPU memory, pinned memory, or managed memory, this is set to 0.
*/
int32_t device_id;
} DLDevice;
/*!
* \brief The type code options DLDataType.
*/
typedef enum {
/*! \brief signed integer */
kDLInt = 0U,
/*! \brief unsigned integer */
kDLUInt = 1U,
/*! \brief IEEE floating point */
kDLFloat = 2U,
/*!
* \brief Opaque handle type, reserved for testing purposes.
* Frameworks need to agree on the handle data type for the exchange to be well-defined.
*/
kDLOpaqueHandle = 3U,
/*! \brief bfloat16 */
kDLBfloat = 4U,
/*!
* \brief complex number
* (C/C++/Python layout: compact struct per complex number)
*/
kDLComplex = 5U,
/*! \brief boolean */
kDLBool = 6U,
/*! \brief FP8 data types */
kDLFloat8_e3m4 = 7U,
kDLFloat8_e4m3 = 8U,
kDLFloat8_e4m3b11fnuz = 9U,
kDLFloat8_e4m3fn = 10U,
kDLFloat8_e4m3fnuz = 11U,
kDLFloat8_e5m2 = 12U,
kDLFloat8_e5m2fnuz = 13U,
kDLFloat8_e8m0fnu = 14U,
/*! \brief FP6 data types
* Setting bits != 6 is currently unspecified, and the producer must ensure it is set
* while the consumer must stop importing if the value is unexpected.
*/
kDLFloat6_e2m3fn = 15U,
kDLFloat6_e3m2fn = 16U,
/*! \brief FP4 data types
* Setting bits != 4 is currently unspecified, and the producer must ensure it is set
* while the consumer must stop importing if the value is unexpected.
*/
kDLFloat4_e2m1fn = 17U,
} DLDataTypeCode;
/*!
* \brief The data type the tensor can hold. The data type is assumed to follow the
* native endian-ness. An explicit error message should be raised when attempting to
* export an array with non-native endianness
*
* Examples
* - float: type_code = 2, bits = 32, lanes = 1
* - float4(vectorized 4 float): type_code = 2, bits = 32, lanes = 4
* - int8: type_code = 0, bits = 8, lanes = 1
* - std::complex<float>: type_code = 5, bits = 64, lanes = 1
* - bool: type_code = 6, bits = 8, lanes = 1 (as per common array library convention, the underlying storage size of bool is 8 bits)
* - float8_e4m3: type_code = 8, bits = 8, lanes = 1 (packed in memory)
* - float6_e3m2fn: type_code = 16, bits = 6, lanes = 1 (packed in memory)
* - float4_e2m1fn: type_code = 17, bits = 4, lanes = 1 (packed in memory)
*
* When a sub-byte type is packed, DLPack requires the data to be in little bit-endian, i.e.,
* for a packed data set D ((D >> (i * bits)) && bit_mask) stores the i-th element.
*/
typedef struct {
/*!
* \brief Type code of base types.
* We keep it uint8_t instead of DLDataTypeCode for minimal memory
* footprint, but the value should be one of DLDataTypeCode enum values.
* */
uint8_t code;
/*!
* \brief Number of bits, common choices are 8, 16, 32.
*/
uint8_t bits;
/*! \brief Number of lanes in the type, used for vector types. */
uint16_t lanes;
} DLDataType;
/*!
* \brief Plain C Tensor object, does not manage memory.
*/
typedef struct {
/*!
* \brief The data pointer points to the allocated data. This will be CUDA
* device pointer or cl_mem handle in OpenCL. It may be opaque on some device
* types. This pointer is always aligned to 256 bytes as in CUDA. The
* `byte_offset` field should be used to point to the beginning of the data.
*
* Note that as of Nov 2021, multiply libraries (CuPy, PyTorch, TensorFlow,
* TVM, perhaps others) do not adhere to this 256 byte aligment requirement
* on CPU/CUDA/ROCm, and always use `byte_offset=0`. This must be fixed
* (after which this note will be updated); at the moment it is recommended
* to not rely on the data pointer being correctly aligned.
*
* For given DLTensor, the size of memory required to store the contents of
* data is calculated as follows:
*
* \code{.c}
* static inline size_t GetDataSize(const DLTensor* t) {
* size_t size = 1;
* for (tvm_index_t i = 0; i < t->ndim; ++i) {
* size *= t->shape[i];
* }
* size *= (t->dtype.bits * t->dtype.lanes + 7) / 8;
* return size;
* }
* \endcode
*
* Note that if the tensor is of size zero, then the data pointer should be
* set to `NULL`.
*/
void* data;
/*! \brief The device of the tensor */
DLDevice device;
/*! \brief Number of dimensions */
int32_t ndim;
/*! \brief The data type of the pointer*/
DLDataType dtype;
/*! \brief The shape of the tensor */
int64_t* shape;
/*!
* \brief strides of the tensor (in number of elements, not bytes)
* can be NULL, indicating tensor is compact and row-majored.
*/
int64_t* strides;
/*! \brief The offset in bytes to the beginning pointer to data */
uint64_t byte_offset;
} DLTensor;
/*!
* \brief C Tensor object, manage memory of DLTensor. This data structure is
* intended to facilitate the borrowing of DLTensor by another framework. It is
* not meant to transfer the tensor. When the borrowing framework doesn't need
* the tensor, it should call the deleter to notify the host that the resource
* is no longer needed.
*
* \note This data structure is used as Legacy DLManagedTensor
* in DLPack exchange and is deprecated after DLPack v0.8
* Use DLManagedTensorVersioned instead.
* This data structure may get renamed or deleted in future versions.
*
* \sa DLManagedTensorVersioned
*/
typedef struct DLManagedTensor {
/*! \brief DLTensor which is being memory managed */
DLTensor dl_tensor;
/*! \brief the context of the original host framework of DLManagedTensor in
* which DLManagedTensor is used in the framework. It can also be NULL.
*/
void * manager_ctx;
/*!
* \brief Destructor - this should be called
* to destruct the manager_ctx which backs the DLManagedTensor. It can be
* NULL if there is no way for the caller to provide a reasonable destructor.
* The destructor deletes the argument self as well.
*/
void (*deleter)(struct DLManagedTensor * self);
} DLManagedTensor;
// bit masks used in in the DLManagedTensorVersioned
/*! \brief bit mask to indicate that the tensor is read only. */
#define DLPACK_FLAG_BITMASK_READ_ONLY (1UL << 0UL)
/*!
* \brief bit mask to indicate that the tensor is a copy made by the producer.
*
* If set, the tensor is considered solely owned throughout its lifetime by the
* consumer, until the producer-provided deleter is invoked.
*/
#define DLPACK_FLAG_BITMASK_IS_COPIED (1UL << 1UL)
/*
* \brief bit mask to indicate that whether a sub-byte type is packed or padded.
*
* The default for sub-byte types (ex: fp4/fp6) is assumed packed. This flag can
* be set by the producer to signal that a tensor of sub-byte type is padded.
*/
#define DLPACK_FLAG_BITMASK_IS_SUBBYTE_TYPE_PADDED (1UL << 2UL)
/*!
* \brief A versioned and managed C Tensor object, manage memory of DLTensor.
*
* This data structure is intended to facilitate the borrowing of DLTensor by
* another framework. It is not meant to transfer the tensor. When the borrowing
* framework doesn't need the tensor, it should call the deleter to notify the
* host that the resource is no longer needed.
*
* \note This is the current standard DLPack exchange data structure.
*/
struct DLManagedTensorVersioned {
/*!
* \brief The API and ABI version of the current managed Tensor
*/
DLPackVersion version;
/*!
* \brief the context of the original host framework.
*
* Stores DLManagedTensorVersioned is used in the
* framework. It can also be NULL.
*/
void *manager_ctx;
/*!
* \brief Destructor.
*
* This should be called to destruct manager_ctx which holds the DLManagedTensorVersioned.
* It can be NULL if there is no way for the caller to provide a reasonable
* destructor. The destructor deletes the argument self as well.
*/
void (*deleter)(struct DLManagedTensorVersioned *self);
/*!
* \brief Additional bitmask flags information about the tensor.
*
* By default the flags should be set to 0.
*
* \note Future ABI changes should keep everything until this field
* stable, to ensure that deleter can be correctly called.
*
* \sa DLPACK_FLAG_BITMASK_READ_ONLY
* \sa DLPACK_FLAG_BITMASK_IS_COPIED
*/
uint64_t flags;
/*! \brief DLTensor which is being memory managed */
DLTensor dl_tensor;
};
#ifdef __cplusplus
} // DLPACK_EXTERN_C
#endif
#endif // DLPACK_DLPACK_H_
+44
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@@ -0,0 +1,44 @@
function(download_fastcv root_dir)
# Commit SHA in the opencv_3rdparty repo
set(FASTCV_COMMIT "9e8d42b6d7e769548d70b2e5674e263b056de8b4")
# Define actual FastCV versions
if(ANDROID)
if(AARCH64)
message(STATUS "Download FastCV for Android aarch64")
set(FCV_PACKAGE_NAME "fastcv_android_aarch64_2025_07_09.tgz")
set(FCV_PACKAGE_HASH "8b9497858cf3c3502a0be4369d06ebf8")
else()
message(STATUS "Download FastCV for Android armv7")
set(FCV_PACKAGE_NAME "fastcv_android_arm32_2025_07_09.tgz")
set(FCV_PACKAGE_HASH "e0e6009c9f2f2b96140cd6a639c7383f")
endif()
elseif(UNIX AND NOT APPLE AND NOT IOS AND NOT XROS)
if(AARCH64)
set(FCV_PACKAGE_NAME "fastcv_linux_aarch64_2025_07_09.tgz")
set(FCV_PACKAGE_HASH "05e254e0eb3c13fa23eb7213f0fe6d82")
else()
message("FastCV: fastcv lib for 32-bit Linux is not supported for now!")
endif()
endif(ANDROID)
# Download Package
set(OPENCV_FASTCV_URL "https://raw.githubusercontent.com/opencv/opencv_3rdparty/${FASTCV_COMMIT}/fastcv/")
ocv_download( FILENAME ${FCV_PACKAGE_NAME}
HASH ${FCV_PACKAGE_HASH}
URL ${OPENCV_FASTCV_URL}
DESTINATION_DIR ${root_dir}
ID FASTCV
STATUS res
UNPACK
RELATIVE_URL)
if(res)
set(HAVE_FASTCV TRUE CACHE BOOL "FastCV status")
else()
message(WARNING "FastCV: package download failed!")
endif()
endfunction()
+5 -5
View File
@@ -1,8 +1,8 @@
# Binaries branch name: ffmpeg/4.x_20220524
# Binaries were created for OpenCV: d6e9616256b46bd59be0a93d397f6ab958d39cd2
ocv_update(FFMPEG_BINARIES_COMMIT "65ec04d4573dcdfa4531f0b9e67f35d8ffff873e")
ocv_update(FFMPEG_FILE_HASH_BIN32 "5573e2262ad1298e603122b7759fc2f6")
ocv_update(FFMPEG_FILE_HASH_BIN64 "5f9e2b2e04c15f080f40e844de80c867")
# Binaries branch name: ffmpeg/4.x_20251226
# Binaries were created for OpenCV: cff7581175d2abfc6aef2e4f04f482e258b5c864
ocv_update(FFMPEG_BINARIES_COMMIT "d82ad9a54a7b42a1648a9cae8fed5c2f20ea396c")
ocv_update(FFMPEG_FILE_HASH_BIN32 "47730de2286110b0d1250ff9cf50ce56")
ocv_update(FFMPEG_FILE_HASH_BIN64 "3248b4663ffef770cdb54ec8b9d16a28")
ocv_update(FFMPEG_FILE_HASH_CMAKE "8862c87496e2e8c375965e1277dee1c7")
function(download_win_ffmpeg script_var)
+202
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@@ -0,0 +1,202 @@
Apache License
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+1
View File
@@ -0,0 +1 @@
Origin: https://github.com/google/flatbuffers/tree/v25.9.23
+68
View File
@@ -0,0 +1,68 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_ALLOCATOR_H_
#define FLATBUFFERS_ALLOCATOR_H_
#include "flatbuffers/base.h"
namespace flatbuffers {
// Allocator interface. This is flatbuffers-specific and meant only for
// `vector_downward` usage.
class Allocator {
public:
virtual ~Allocator() {}
// Allocate `size` bytes of memory.
virtual uint8_t* allocate(size_t size) = 0;
// Deallocate `size` bytes of memory at `p` allocated by this allocator.
virtual void deallocate(uint8_t* p, size_t size) = 0;
// Reallocate `new_size` bytes of memory, replacing the old region of size
// `old_size` at `p`. In contrast to a normal realloc, this grows downwards,
// and is intended specifcally for `vector_downward` use.
// `in_use_back` and `in_use_front` indicate how much of `old_size` is
// actually in use at each end, and needs to be copied.
virtual uint8_t* reallocate_downward(uint8_t* old_p, size_t old_size,
size_t new_size, size_t in_use_back,
size_t in_use_front) {
FLATBUFFERS_ASSERT(new_size > old_size); // vector_downward only grows
uint8_t* new_p = allocate(new_size);
memcpy_downward(old_p, old_size, new_p, new_size, in_use_back,
in_use_front);
deallocate(old_p, old_size);
return new_p;
}
protected:
// Called by `reallocate_downward` to copy memory from `old_p` of `old_size`
// to `new_p` of `new_size`. Only memory of size `in_use_front` and
// `in_use_back` will be copied from the front and back of the old memory
// allocation.
void memcpy_downward(uint8_t* old_p, size_t old_size, uint8_t* new_p,
size_t new_size, size_t in_use_back,
size_t in_use_front) {
memcpy(new_p + new_size - in_use_back, old_p + old_size - in_use_back,
in_use_back);
memcpy(new_p, old_p, in_use_front);
}
};
} // namespace flatbuffers
#endif // FLATBUFFERS_ALLOCATOR_H_
+257
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@@ -0,0 +1,257 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_ARRAY_H_
#define FLATBUFFERS_ARRAY_H_
#include <cstdint>
#include <memory>
#include "flatbuffers/base.h"
#include "flatbuffers/stl_emulation.h"
#include "flatbuffers/vector.h"
namespace flatbuffers {
// This is used as a helper type for accessing arrays.
template <typename T, uint16_t length>
class Array {
// Array<T> can carry only POD data types (scalars or structs).
typedef typename flatbuffers::bool_constant<flatbuffers::is_scalar<T>::value>
scalar_tag;
public:
typedef uint16_t size_type;
typedef typename IndirectHelper<T>::return_type return_type;
typedef VectorConstIterator<T, return_type, uoffset_t> const_iterator;
typedef VectorReverseIterator<const_iterator> const_reverse_iterator;
// If T is a LE-scalar or a struct (!scalar_tag::value).
static FLATBUFFERS_CONSTEXPR bool is_span_observable =
(scalar_tag::value && (FLATBUFFERS_LITTLEENDIAN || sizeof(T) == 1)) ||
!scalar_tag::value;
FLATBUFFERS_CONSTEXPR uint16_t size() const { return length; }
return_type Get(uoffset_t i) const {
FLATBUFFERS_ASSERT(i < size());
return IndirectHelper<T>::Read(Data(), i);
}
return_type operator[](uoffset_t i) const { return Get(i); }
// If this is a Vector of enums, T will be its storage type, not the enum
// type. This function makes it convenient to retrieve value with enum
// type E.
template <typename E>
E GetEnum(uoffset_t i) const {
return static_cast<E>(Get(i));
}
const_iterator begin() const { return const_iterator(Data(), 0); }
const_iterator end() const { return const_iterator(Data(), size()); }
const_reverse_iterator rbegin() const {
return const_reverse_iterator(end());
}
const_reverse_iterator rend() const {
return const_reverse_iterator(begin());
}
const_iterator cbegin() const { return begin(); }
const_iterator cend() const { return end(); }
const_reverse_iterator crbegin() const { return rbegin(); }
const_reverse_iterator crend() const { return rend(); }
// Get a mutable pointer to elements inside this array.
// This method used to mutate arrays of structs followed by a @p Mutate
// operation. For primitive types use @p Mutate directly.
// @warning Assignments and reads to/from the dereferenced pointer are not
// automatically converted to the correct endianness.
typename flatbuffers::conditional<scalar_tag::value, void, T*>::type
GetMutablePointer(uoffset_t i) const {
FLATBUFFERS_ASSERT(i < size());
return const_cast<T*>(&data()[i]);
}
// Change elements if you have a non-const pointer to this object.
void Mutate(uoffset_t i, const T& val) { MutateImpl(scalar_tag(), i, val); }
// The raw data in little endian format. Use with care.
const uint8_t* Data() const { return data_; }
uint8_t* Data() { return data_; }
// Similarly, but typed, much like std::vector::data
const T* data() const { return reinterpret_cast<const T*>(Data()); }
T* data() { return reinterpret_cast<T*>(Data()); }
// Copy data from a span with endian conversion.
// If this Array and the span overlap, the behavior is undefined.
void CopyFromSpan(flatbuffers::span<const T, length> src) {
const auto p1 = reinterpret_cast<const uint8_t*>(src.data());
const auto p2 = Data();
FLATBUFFERS_ASSERT(!(p1 >= p2 && p1 < (p2 + length)) &&
!(p2 >= p1 && p2 < (p1 + length)));
(void)p1;
(void)p2;
CopyFromSpanImpl(flatbuffers::bool_constant<is_span_observable>(), src);
}
protected:
void MutateImpl(flatbuffers::true_type, uoffset_t i, const T& val) {
FLATBUFFERS_ASSERT(i < size());
WriteScalar(data() + i, val);
}
void MutateImpl(flatbuffers::false_type, uoffset_t i, const T& val) {
*(GetMutablePointer(i)) = val;
}
void CopyFromSpanImpl(flatbuffers::true_type,
flatbuffers::span<const T, length> src) {
// Use std::memcpy() instead of std::copy() to avoid performance degradation
// due to aliasing if T is char or unsigned char.
// The size is known at compile time, so memcpy would be inlined.
std::memcpy(data(), src.data(), length * sizeof(T));
}
// Copy data from flatbuffers::span with endian conversion.
void CopyFromSpanImpl(flatbuffers::false_type,
flatbuffers::span<const T, length> src) {
for (size_type k = 0; k < length; k++) {
Mutate(k, src[k]);
}
}
// This class is only used to access pre-existing data. Don't ever
// try to construct these manually.
// 'constexpr' allows us to use 'size()' at compile time.
// @note Must not use 'FLATBUFFERS_CONSTEXPR' here, as const is not allowed on
// a constructor.
#if defined(__cpp_constexpr)
constexpr Array();
#else
Array();
#endif
uint8_t data_[length * sizeof(T)];
private:
// This class is a pointer. Copying will therefore create an invalid object.
// Private and unimplemented copy constructor.
Array(const Array&);
Array& operator=(const Array&);
};
// Specialization for Array[struct] with access using Offset<void> pointer.
// This specialization used by idl_gen_text.cpp.
template <typename T, uint16_t length, template <typename> class OffsetT>
class Array<OffsetT<T>, length> {
static_assert(flatbuffers::is_same<T, void>::value, "unexpected type T");
public:
typedef const void* return_type;
typedef uint16_t size_type;
const uint8_t* Data() const { return data_; }
// Make idl_gen_text.cpp::PrintContainer happy.
return_type operator[](uoffset_t) const {
FLATBUFFERS_ASSERT(false);
return nullptr;
}
private:
// This class is only used to access pre-existing data.
Array();
Array(const Array&);
Array& operator=(const Array&);
uint8_t data_[1];
};
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<U, N> make_span(Array<U, N>& arr)
FLATBUFFERS_NOEXCEPT {
static_assert(
Array<U, N>::is_span_observable,
"wrong type U, only plain struct, LE-scalar, or byte types are allowed");
return span<U, N>(arr.data(), N);
}
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const U, N> make_span(
const Array<U, N>& arr) FLATBUFFERS_NOEXCEPT {
static_assert(
Array<U, N>::is_span_observable,
"wrong type U, only plain struct, LE-scalar, or byte types are allowed");
return span<const U, N>(arr.data(), N);
}
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<uint8_t, sizeof(U) * N>
make_bytes_span(Array<U, N>& arr) FLATBUFFERS_NOEXCEPT {
static_assert(Array<U, N>::is_span_observable,
"internal error, Array<T> might hold only scalars or structs");
return span<uint8_t, sizeof(U) * N>(arr.Data(), sizeof(U) * N);
}
template <class U, uint16_t N>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const uint8_t, sizeof(U) * N>
make_bytes_span(const Array<U, N>& arr) FLATBUFFERS_NOEXCEPT {
static_assert(Array<U, N>::is_span_observable,
"internal error, Array<T> might hold only scalars or structs");
return span<const uint8_t, sizeof(U) * N>(arr.Data(), sizeof(U) * N);
}
// Cast a raw T[length] to a raw flatbuffers::Array<T, length>
// without endian conversion. Use with care.
// TODO: move these Cast-methods to `internal` namespace.
template <typename T, uint16_t length>
Array<T, length>& CastToArray(T (&arr)[length]) {
return *reinterpret_cast<Array<T, length>*>(arr);
}
template <typename T, uint16_t length>
const Array<T, length>& CastToArray(const T (&arr)[length]) {
return *reinterpret_cast<const Array<T, length>*>(arr);
}
template <typename E, typename T, uint16_t length>
Array<E, length>& CastToArrayOfEnum(T (&arr)[length]) {
static_assert(sizeof(E) == sizeof(T), "invalid enum type E");
return *reinterpret_cast<Array<E, length>*>(arr);
}
template <typename E, typename T, uint16_t length>
const Array<E, length>& CastToArrayOfEnum(const T (&arr)[length]) {
static_assert(sizeof(E) == sizeof(T), "invalid enum type E");
return *reinterpret_cast<const Array<E, length>*>(arr);
}
template <typename T, uint16_t length>
bool operator==(const Array<T, length>& lhs,
const Array<T, length>& rhs) noexcept {
return std::addressof(lhs) == std::addressof(rhs) ||
(lhs.size() == rhs.size() &&
std::memcmp(lhs.Data(), rhs.Data(), rhs.size() * sizeof(T)) == 0);
}
} // namespace flatbuffers
#endif // FLATBUFFERS_ARRAY_H_
+503
View File
@@ -0,0 +1,503 @@
#ifndef FLATBUFFERS_BASE_H_
#define FLATBUFFERS_BASE_H_
// clang-format off
// If activate should be declared and included first.
#if defined(FLATBUFFERS_MEMORY_LEAK_TRACKING) && \
defined(_MSC_VER) && defined(_DEBUG)
// The _CRTDBG_MAP_ALLOC inside <crtdbg.h> will replace
// calloc/free (etc) to its debug version using #define directives.
#define _CRTDBG_MAP_ALLOC
#include <stdlib.h>
#include <crtdbg.h>
// Replace operator new by trace-enabled version.
#define DEBUG_NEW new(_NORMAL_BLOCK, __FILE__, __LINE__)
#define new DEBUG_NEW
#endif
#if !defined(FLATBUFFERS_ASSERT)
#include <assert.h>
#define FLATBUFFERS_ASSERT assert
#elif defined(FLATBUFFERS_ASSERT_INCLUDE)
// Include file with forward declaration
#include FLATBUFFERS_ASSERT_INCLUDE
#endif
#ifndef ARDUINO
#include <cstdint>
#endif
#include <cstddef>
#include <cstdlib>
#include <cstring>
#if defined(ARDUINO) && !defined(ARDUINOSTL_M_H) && defined(__AVR__)
#include <utility.h>
#else
#include <utility>
#endif
#include <string>
#include <type_traits>
#include <vector>
#include <set>
#include <algorithm>
#include <limits>
#include <iterator>
#include <memory>
#if defined(__unix__) && !defined(FLATBUFFERS_LOCALE_INDEPENDENT)
#include <unistd.h>
#endif
#ifdef __ANDROID__
#include <android/api-level.h>
#endif
#if defined(__ICCARM__)
#include <intrinsics.h>
#endif
// Note the __clang__ check is needed, because clang presents itself
// as an older GNUC compiler (4.2).
// Clang 3.3 and later implement all of the ISO C++ 2011 standard.
// Clang 3.4 and later implement all of the ISO C++ 2014 standard.
// http://clang.llvm.org/cxx_status.html
// Note the MSVC value '__cplusplus' may be incorrect:
// The '__cplusplus' predefined macro in the MSVC stuck at the value 199711L,
// indicating (erroneously!) that the compiler conformed to the C++98 Standard.
// This value should be correct starting from MSVC2017-15.7-Preview-3.
// The '__cplusplus' will be valid only if MSVC2017-15.7-P3 and the `/Zc:__cplusplus` switch is set.
// Workaround (for details see MSDN):
// Use the _MSC_VER and _MSVC_LANG definition instead of the __cplusplus for compatibility.
// The _MSVC_LANG macro reports the Standard version regardless of the '/Zc:__cplusplus' switch.
#if defined(__GNUC__) && !defined(__clang__)
#define FLATBUFFERS_GCC (__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__)
#else
#define FLATBUFFERS_GCC 0
#endif
#if defined(__clang__)
#define FLATBUFFERS_CLANG (__clang_major__ * 10000 + __clang_minor__ * 100 + __clang_patchlevel__)
#else
#define FLATBUFFERS_CLANG 0
#endif
/// @cond FLATBUFFERS_INTERNAL
#if __cplusplus <= 199711L && \
(!defined(_MSC_VER) || _MSC_VER < 1600) && \
(!defined(__GNUC__) || \
(__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__ < 40400))
#error A C++11 compatible compiler with support for the auto typing is \
required for FlatBuffers.
#error __cplusplus _MSC_VER __GNUC__ __GNUC_MINOR__ __GNUC_PATCHLEVEL__
#endif
#if !defined(__clang__) && \
defined(__GNUC__) && \
(__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__ < 40600)
// Backwards compatibility for g++ 4.4, and 4.5 which don't have the nullptr
// and constexpr keywords. Note the __clang__ check is needed, because clang
// presents itself as an older GNUC compiler.
#ifndef nullptr_t
const class nullptr_t {
public:
template<class T> inline operator T*() const { return 0; }
private:
void operator&() const;
} nullptr = {};
#endif
#ifndef constexpr
#define constexpr const
#endif
#endif
// The wire format uses a little endian encoding (since that's efficient for
// the common platforms).
#if defined(__s390x__)
#define FLATBUFFERS_LITTLEENDIAN 0
#endif // __s390x__
#if !defined(FLATBUFFERS_LITTLEENDIAN)
#if defined(__GNUC__) || defined(__clang__) || defined(__ICCARM__)
#if (defined(__BIG_ENDIAN__) || \
(defined(__BYTE_ORDER__) && __BYTE_ORDER__ == __ORDER_BIG_ENDIAN__))
#define FLATBUFFERS_LITTLEENDIAN 0
#else
#define FLATBUFFERS_LITTLEENDIAN 1
#endif // __BIG_ENDIAN__
#elif defined(_MSC_VER)
#if defined(_M_PPC)
#define FLATBUFFERS_LITTLEENDIAN 0
#else
#define FLATBUFFERS_LITTLEENDIAN 1
#endif
#else
#error Unable to determine endianness, define FLATBUFFERS_LITTLEENDIAN.
#endif
#endif // !defined(FLATBUFFERS_LITTLEENDIAN)
#define FLATBUFFERS_VERSION_MAJOR 25
#define FLATBUFFERS_VERSION_MINOR 9
#define FLATBUFFERS_VERSION_REVISION 23
#define FLATBUFFERS_STRING_EXPAND(X) #X
#define FLATBUFFERS_STRING(X) FLATBUFFERS_STRING_EXPAND(X)
namespace flatbuffers {
// Returns version as string "MAJOR.MINOR.REVISION".
const char* FLATBUFFERS_VERSION();
}
#if (!defined(_MSC_VER) || _MSC_VER > 1600) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 407)) || \
defined(__clang__)
#define FLATBUFFERS_FINAL_CLASS final
#define FLATBUFFERS_OVERRIDE override
#define FLATBUFFERS_EXPLICIT_CPP11 explicit
#define FLATBUFFERS_VTABLE_UNDERLYING_TYPE : ::flatbuffers::voffset_t
#else
#define FLATBUFFERS_FINAL_CLASS
#define FLATBUFFERS_OVERRIDE
#define FLATBUFFERS_EXPLICIT_CPP11
#define FLATBUFFERS_VTABLE_UNDERLYING_TYPE
#endif
#if (!defined(_MSC_VER) || _MSC_VER >= 1900) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 406)) || \
(defined(__cpp_constexpr) && __cpp_constexpr >= 200704)
#define FLATBUFFERS_CONSTEXPR constexpr
#define FLATBUFFERS_CONSTEXPR_CPP11 constexpr
#define FLATBUFFERS_CONSTEXPR_DEFINED
#else
#define FLATBUFFERS_CONSTEXPR const
#define FLATBUFFERS_CONSTEXPR_CPP11
#endif
#if (defined(__cplusplus) && __cplusplus >= 201402L) || \
(defined(__cpp_constexpr) && __cpp_constexpr >= 201304)
#define FLATBUFFERS_CONSTEXPR_CPP14 FLATBUFFERS_CONSTEXPR_CPP11
#else
#define FLATBUFFERS_CONSTEXPR_CPP14
#endif
#if (defined(__GXX_EXPERIMENTAL_CXX0X__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 406)) || \
(defined(_MSC_FULL_VER) && (_MSC_FULL_VER >= 190023026)) || \
defined(__clang__)
#define FLATBUFFERS_NOEXCEPT noexcept
#else
#define FLATBUFFERS_NOEXCEPT
#endif
// NOTE: the FLATBUFFERS_DELETE_FUNC macro may change the access mode to
// private, so be sure to put it at the end or reset access mode explicitly.
#if (!defined(_MSC_VER) || _MSC_FULL_VER >= 180020827) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 404)) || \
defined(__clang__)
#define FLATBUFFERS_DELETE_FUNC(func) func = delete
#else
#define FLATBUFFERS_DELETE_FUNC(func) private: func
#endif
#if (!defined(_MSC_VER) || _MSC_VER >= 1900) && \
(!defined(__GNUC__) || (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)) || \
defined(__clang__)
#define FLATBUFFERS_DEFAULT_DECLARATION
#endif
// Check if we can use template aliases
// Not possible if Microsoft Compiler before 2012
// Possible is the language feature __cpp_alias_templates is defined well
// Or possible if the C++ std is C+11 or newer
#if (defined(_MSC_VER) && _MSC_VER > 1700 /* MSVC2012 */) \
|| (defined(__cpp_alias_templates) && __cpp_alias_templates >= 200704) \
|| (defined(__cplusplus) && __cplusplus >= 201103L)
#define FLATBUFFERS_TEMPLATES_ALIASES
#endif
#ifndef FLATBUFFERS_HAS_STRING_VIEW
// Only provide flatbuffers::string_view if __has_include can be used
// to detect a header that provides an implementation
#if defined(__has_include)
// Check for std::string_view (in c++17)
#if __has_include(<string_view>) && (__cplusplus >= 201606 || (defined(_HAS_CXX17) && _HAS_CXX17))
#include <string_view>
namespace flatbuffers {
typedef std::string_view string_view;
}
#define FLATBUFFERS_HAS_STRING_VIEW 1
// Check for std::experimental::string_view (in c++14, compiler-dependent)
#elif __has_include(<experimental/string_view>) && (__cplusplus >= 201411)
#include <experimental/string_view>
namespace flatbuffers {
typedef std::experimental::string_view string_view;
}
#define FLATBUFFERS_HAS_STRING_VIEW 1
// Check for absl::string_view
#elif __has_include("absl/strings/string_view.h") && \
__has_include("absl/base/config.h") && \
(__cplusplus >= 201411)
#include "absl/base/config.h"
#if !defined(ABSL_USES_STD_STRING_VIEW)
#include "absl/strings/string_view.h"
namespace flatbuffers {
typedef absl::string_view string_view;
}
#define FLATBUFFERS_HAS_STRING_VIEW 1
#endif
#endif
#endif // __has_include
#endif // !FLATBUFFERS_HAS_STRING_VIEW
#ifndef FLATBUFFERS_GENERAL_HEAP_ALLOC_OK
// Allow heap allocations to be used
#define FLATBUFFERS_GENERAL_HEAP_ALLOC_OK 1
#endif // !FLATBUFFERS_GENERAL_HEAP_ALLOC_OK
#ifndef FLATBUFFERS_HAS_NEW_STRTOD
// Modern (C++11) strtod and strtof functions are available for use.
// 1) nan/inf strings as argument of strtod;
// 2) hex-float as argument of strtod/strtof.
#if (defined(_MSC_VER) && _MSC_VER >= 1900) || \
(defined(__GNUC__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)) || \
(defined(__clang__))
#define FLATBUFFERS_HAS_NEW_STRTOD 1
#endif
#endif // !FLATBUFFERS_HAS_NEW_STRTOD
#ifndef FLATBUFFERS_LOCALE_INDEPENDENT
// Enable locale independent functions {strtof_l, strtod_l,strtoll_l,
// strtoull_l}.
#if (defined(_MSC_VER) && _MSC_VER >= 1800) || \
(defined(__ANDROID_API__) && __ANDROID_API__>= 21) || \
(defined(_XOPEN_VERSION) && (_XOPEN_VERSION >= 700)) && \
(!defined(__Fuchsia__) && !defined(__ANDROID_API__))
#define FLATBUFFERS_LOCALE_INDEPENDENT 1
#else
#define FLATBUFFERS_LOCALE_INDEPENDENT 0
#endif
#endif // !FLATBUFFERS_LOCALE_INDEPENDENT
// Suppress Undefined Behavior Sanitizer (recoverable only). Usage:
// - FLATBUFFERS_SUPPRESS_UBSAN("undefined")
// - FLATBUFFERS_SUPPRESS_UBSAN("signed-integer-overflow")
#if defined(__clang__) && (__clang_major__ > 3 || (__clang_major__ == 3 && __clang_minor__ >=7))
#define FLATBUFFERS_SUPPRESS_UBSAN(type) __attribute__((no_sanitize(type)))
#elif defined(__GNUC__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)
#define FLATBUFFERS_SUPPRESS_UBSAN(type) __attribute__((no_sanitize_undefined))
#else
#define FLATBUFFERS_SUPPRESS_UBSAN(type)
#endif
namespace flatbuffers {
// This is constexpr function used for checking compile-time constants.
// Avoid `#pragma warning(disable: 4127) // C4127: expression is constant`.
template<typename T> FLATBUFFERS_CONSTEXPR inline bool IsConstTrue(T t) {
return !!t;
}
}
// Enable C++ attribute [[]] if std:c++17 or higher.
#if ((__cplusplus >= 201703L) \
|| (defined(_MSVC_LANG) && (_MSVC_LANG >= 201703L)))
// All attributes unknown to an implementation are ignored without causing an error.
#define FLATBUFFERS_ATTRIBUTE(attr) attr
#define FLATBUFFERS_FALLTHROUGH() [[fallthrough]]
#else
#define FLATBUFFERS_ATTRIBUTE(attr)
#if FLATBUFFERS_CLANG >= 30800
#define FLATBUFFERS_FALLTHROUGH() [[clang::fallthrough]]
#elif FLATBUFFERS_GCC >= 70300
#define FLATBUFFERS_FALLTHROUGH() [[gnu::fallthrough]]
#else
#define FLATBUFFERS_FALLTHROUGH()
#endif
#endif
/// @endcond
/// @file
namespace flatbuffers {
/// @cond FLATBUFFERS_INTERNAL
// Our default offset / size type, 32bit on purpose on 64bit systems.
// Also, using a consistent offset type maintains compatibility of serialized
// offset values between 32bit and 64bit systems.
typedef uint32_t uoffset_t;
typedef uint64_t uoffset64_t;
// Signed offsets for references that can go in both directions.
typedef int32_t soffset_t;
typedef int64_t soffset64_t;
// Offset/index used in v-tables, can be changed to uint8_t in
// format forks to save a bit of space if desired.
typedef uint16_t voffset_t;
typedef uintmax_t largest_scalar_t;
// In 32bits, this evaluates to 2GB - 1
#define FLATBUFFERS_MAX_BUFFER_SIZE (std::numeric_limits<::flatbuffers::soffset_t>::max)()
#define FLATBUFFERS_MAX_64_BUFFER_SIZE (std::numeric_limits<::flatbuffers::soffset64_t>::max)()
// The minimum size buffer that can be a valid flatbuffer.
// Includes the offset to the root table (uoffset_t), the offset to the vtable
// of the root table (soffset_t), the size of the vtable (uint16_t), and the
// size of the referring table (uint16_t).
#define FLATBUFFERS_MIN_BUFFER_SIZE sizeof(::flatbuffers::uoffset_t) + \
sizeof(::flatbuffers::soffset_t) + sizeof(uint16_t) + sizeof(uint16_t)
// We support aligning the contents of buffers up to this size.
#ifndef FLATBUFFERS_MAX_ALIGNMENT
#define FLATBUFFERS_MAX_ALIGNMENT 32
#endif
/// @brief The length of a FlatBuffer file header.
static const size_t kFileIdentifierLength = 4;
inline bool VerifyAlignmentRequirements(size_t align, size_t min_align = 1) {
return (min_align <= align) && (align <= (FLATBUFFERS_MAX_ALIGNMENT)) &&
(align & (align - 1)) == 0; // must be power of 2
}
#if defined(_MSC_VER)
#pragma warning(push)
#pragma warning(disable: 4127) // C4127: conditional expression is constant
#endif
template<typename T> T EndianSwap(T t) {
#if defined(_MSC_VER)
#define FLATBUFFERS_BYTESWAP16 _byteswap_ushort
#define FLATBUFFERS_BYTESWAP32 _byteswap_ulong
#define FLATBUFFERS_BYTESWAP64 _byteswap_uint64
#elif defined(__ICCARM__)
#define FLATBUFFERS_BYTESWAP16 __REV16
#define FLATBUFFERS_BYTESWAP32 __REV
#define FLATBUFFERS_BYTESWAP64(x) \
((__REV(static_cast<uint32_t>(x >> 32U))) | (static_cast<uint64_t>(__REV(static_cast<uint32_t>(x)))) << 32U)
#else
#if defined(__GNUC__) && __GNUC__ * 100 + __GNUC_MINOR__ < 408 && !defined(__clang__)
// __builtin_bswap16 was missing prior to GCC 4.8.
#define FLATBUFFERS_BYTESWAP16(x) \
static_cast<uint16_t>(__builtin_bswap32(static_cast<uint32_t>(x) << 16))
#else
#define FLATBUFFERS_BYTESWAP16 __builtin_bswap16
#endif
#define FLATBUFFERS_BYTESWAP32 __builtin_bswap32
#define FLATBUFFERS_BYTESWAP64 __builtin_bswap64
#endif
if (sizeof(T) == 1) { // Compile-time if-then's.
return t;
} else if (sizeof(T) == 2) {
union { T t; uint16_t i; } u = { t };
u.i = FLATBUFFERS_BYTESWAP16(u.i);
return u.t;
} else if (sizeof(T) == 4) {
union { T t; uint32_t i; } u = { t };
u.i = FLATBUFFERS_BYTESWAP32(u.i);
return u.t;
} else if (sizeof(T) == 8) {
union { T t; uint64_t i; } u = { t };
u.i = FLATBUFFERS_BYTESWAP64(u.i);
return u.t;
} else {
FLATBUFFERS_ASSERT(0);
return t;
}
}
#if defined(_MSC_VER)
#pragma warning(pop)
#endif
template<typename T> T EndianScalar(T t) {
#if FLATBUFFERS_LITTLEENDIAN
return t;
#else
return EndianSwap(t);
#endif
}
template<typename T>
// UBSAN: C++ aliasing type rules, see std::bit_cast<> for details.
FLATBUFFERS_SUPPRESS_UBSAN("alignment")
T ReadScalar(const void *p) {
return EndianScalar(*reinterpret_cast<const T *>(p));
}
// See https://github.com/google/flatbuffers/issues/5950
#if (FLATBUFFERS_GCC >= 100000) && (FLATBUFFERS_GCC < 110000)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wstringop-overflow"
#endif
template<typename T>
// UBSAN: C++ aliasing type rules, see std::bit_cast<> for details.
FLATBUFFERS_SUPPRESS_UBSAN("alignment")
void WriteScalar(void *p, T t) {
*reinterpret_cast<T *>(p) = EndianScalar(t);
}
template<typename T> struct Offset;
template<typename T> FLATBUFFERS_SUPPRESS_UBSAN("alignment") void WriteScalar(void *p, Offset<T> t) {
*reinterpret_cast<uoffset_t *>(p) = EndianScalar(t.o);
}
#if (FLATBUFFERS_GCC >= 100000) && (FLATBUFFERS_GCC < 110000)
#pragma GCC diagnostic pop
#endif
// Computes how many bytes you'd have to pad to be able to write an
// "scalar_size" scalar if the buffer had grown to "buf_size" (downwards in
// memory).
FLATBUFFERS_SUPPRESS_UBSAN("unsigned-integer-overflow")
inline size_t PaddingBytes(size_t buf_size, size_t scalar_size) {
return ((~buf_size) + 1) & (scalar_size - 1);
}
#if !defined(_MSC_VER)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wfloat-equal"
#endif
// Generic 'operator==' with conditional specialisations.
// T e - new value of a scalar field.
// T def - default of scalar (is known at compile-time).
template<typename T> inline bool IsTheSameAs(T e, T def) { return e == def; }
#if !defined(_MSC_VER)
#pragma GCC diagnostic pop
#endif
#if defined(FLATBUFFERS_NAN_DEFAULTS) && \
defined(FLATBUFFERS_HAS_NEW_STRTOD) && (FLATBUFFERS_HAS_NEW_STRTOD > 0)
// Like `operator==(e, def)` with weak NaN if T=(float|double).
template<typename T> inline bool IsFloatTheSameAs(T e, T def) {
return (e == def) || ((def != def) && (e != e));
}
template<> inline bool IsTheSameAs<float>(float e, float def) {
return IsFloatTheSameAs(e, def);
}
template<> inline bool IsTheSameAs<double>(double e, double def) {
return IsFloatTheSameAs(e, def);
}
#endif
// Check 'v' is out of closed range [low; high].
// Workaround for GCC warning [-Werror=type-limits]:
// comparison is always true due to limited range of data type.
template<typename T>
inline bool IsOutRange(const T &v, const T &low, const T &high) {
return (v < low) || (high < v);
}
// Check 'v' is in closed range [low; high].
template<typename T>
inline bool IsInRange(const T &v, const T &low, const T &high) {
return !IsOutRange(v, low, high);
}
} // namespace flatbuffers
#endif // FLATBUFFERS_BASE_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_BUFFER_H_
#define FLATBUFFERS_BUFFER_H_
#include <algorithm>
#include "flatbuffers/base.h"
#include "flatbuffers/stl_emulation.h"
namespace flatbuffers {
// Wrapper for uoffset_t to allow safe template specialization.
// Value is allowed to be 0 to indicate a null object (see e.g. AddOffset).
template <typename T = void>
struct Offset {
// The type of offset to use.
typedef uoffset_t offset_type;
offset_type o;
Offset() : o(0) {}
Offset(const offset_type _o) : o(_o) {}
Offset<> Union() const { return o; }
bool IsNull() const { return !o; }
};
template <typename T>
struct is_specialisation_of_Offset : false_type {};
template <typename T>
struct is_specialisation_of_Offset<Offset<T>> : true_type {};
// Wrapper for uoffset64_t Offsets.
template <typename T = void>
struct Offset64 {
// The type of offset to use.
typedef uoffset64_t offset_type;
offset_type o;
Offset64() : o(0) {}
Offset64(const offset_type offset) : o(offset) {}
Offset64<> Union() const { return o; }
bool IsNull() const { return !o; }
};
template <typename T>
struct is_specialisation_of_Offset64 : false_type {};
template <typename T>
struct is_specialisation_of_Offset64<Offset64<T>> : true_type {};
// Litmus check for ensuring the Offsets are the expected size.
static_assert(sizeof(Offset<>) == 4, "Offset has wrong size");
static_assert(sizeof(Offset64<>) == 8, "Offset64 has wrong size");
inline void EndianCheck() {
int endiantest = 1;
// If this fails, see FLATBUFFERS_LITTLEENDIAN above.
FLATBUFFERS_ASSERT(*reinterpret_cast<char*>(&endiantest) ==
FLATBUFFERS_LITTLEENDIAN);
(void)endiantest;
}
template <typename T>
FLATBUFFERS_CONSTEXPR size_t AlignOf() {
// clang-format off
#ifdef _MSC_VER
return __alignof(T);
#else
#ifndef alignof
return __alignof__(T);
#else
return alignof(T);
#endif
#endif
// clang-format on
}
// Lexicographically compare two strings (possibly containing nulls), and
// return true if the first is less than the second.
static inline bool StringLessThan(const char* a_data, uoffset_t a_size,
const char* b_data, uoffset_t b_size) {
const auto cmp = memcmp(a_data, b_data, (std::min)(a_size, b_size));
return cmp == 0 ? a_size < b_size : cmp < 0;
}
// When we read serialized data from memory, in the case of most scalars,
// we want to just read T, but in the case of Offset, we want to actually
// perform the indirection and return a pointer.
// The template specialization below does just that.
// It is wrapped in a struct since function templates can't overload on the
// return type like this.
// The typedef is for the convenience of callers of this function
// (avoiding the need for a trailing return decltype)
template <typename T, typename Enable = void>
struct IndirectHelper {
typedef T return_type;
typedef T mutable_return_type;
static const size_t element_stride = sizeof(T);
static return_type Read(const uint8_t* p, const size_t i) {
return EndianScalar((reinterpret_cast<const T*>(p))[i]);
}
static mutable_return_type Read(uint8_t* p, const size_t i) {
return reinterpret_cast<mutable_return_type>(
Read(const_cast<const uint8_t*>(p), i));
}
};
// For vector of Offsets.
template <typename T, template <typename> class OffsetT>
struct IndirectHelper<OffsetT<T>> {
typedef const T* return_type;
typedef T* mutable_return_type;
typedef typename OffsetT<T>::offset_type offset_type;
static const offset_type element_stride = sizeof(offset_type);
static return_type Read(const uint8_t* const p, const offset_type i) {
// Offsets are relative to themselves, so first update the pointer to
// point to the offset location.
const uint8_t* const offset_location = p + i * element_stride;
// Then read the scalar value of the offset (which may be 32 or 64-bits) and
// then determine the relative location from the offset location.
return reinterpret_cast<return_type>(
offset_location + ReadScalar<offset_type>(offset_location));
}
static mutable_return_type Read(uint8_t* const p, const offset_type i) {
// Offsets are relative to themselves, so first update the pointer to
// point to the offset location.
uint8_t* const offset_location = p + i * element_stride;
// Then read the scalar value of the offset (which may be 32 or 64-bits) and
// then determine the relative location from the offset location.
return reinterpret_cast<mutable_return_type>(
offset_location + ReadScalar<offset_type>(offset_location));
}
};
// For vector of structs.
template <typename T>
struct IndirectHelper<
T, typename std::enable_if<
!std::is_scalar<typename std::remove_pointer<T>::type>::value &&
!is_specialisation_of_Offset<T>::value &&
!is_specialisation_of_Offset64<T>::value>::type> {
private:
typedef typename std::remove_pointer<typename std::remove_cv<T>::type>::type
pointee_type;
public:
typedef const pointee_type* return_type;
typedef pointee_type* mutable_return_type;
static const size_t element_stride = sizeof(pointee_type);
static return_type Read(const uint8_t* const p, const size_t i) {
// Structs are stored inline, relative to the first struct pointer.
return reinterpret_cast<return_type>(p + i * element_stride);
}
static mutable_return_type Read(uint8_t* const p, const size_t i) {
// Structs are stored inline, relative to the first struct pointer.
return reinterpret_cast<mutable_return_type>(p + i * element_stride);
}
};
/// @brief Get a pointer to the file_identifier section of the buffer.
/// @return Returns a const char pointer to the start of the file_identifier
/// characters in the buffer. The returned char * has length
/// 'flatbuffers::FlatBufferBuilder::kFileIdentifierLength'.
/// This function is UNDEFINED for FlatBuffers whose schema does not include
/// a file_identifier (likely points at padding or the start of a the root
/// vtable).
inline const char* GetBufferIdentifier(const void* buf,
bool size_prefixed = false) {
return reinterpret_cast<const char*>(buf) +
((size_prefixed) ? 2 * sizeof(uoffset_t) : sizeof(uoffset_t));
}
// Helper to see if the identifier in a buffer has the expected value.
inline bool BufferHasIdentifier(const void* buf, const char* identifier,
bool size_prefixed = false) {
return strncmp(GetBufferIdentifier(buf, size_prefixed), identifier,
flatbuffers::kFileIdentifierLength) == 0;
}
/// @cond FLATBUFFERS_INTERNAL
// Helpers to get a typed pointer to the root object contained in the buffer.
template <typename T>
T* GetMutableRoot(void* buf) {
if (!buf) return nullptr;
EndianCheck();
return reinterpret_cast<T*>(reinterpret_cast<uint8_t*>(buf) +
EndianScalar(*reinterpret_cast<uoffset_t*>(buf)));
}
template <typename T, typename SizeT = uoffset_t>
T* GetMutableSizePrefixedRoot(void* buf) {
return GetMutableRoot<T>(reinterpret_cast<uint8_t*>(buf) + sizeof(SizeT));
}
template <typename T>
const T* GetRoot(const void* buf) {
return GetMutableRoot<T>(const_cast<void*>(buf));
}
template <typename T, typename SizeT = uoffset_t>
const T* GetSizePrefixedRoot(const void* buf) {
return GetRoot<T>(reinterpret_cast<const uint8_t*>(buf) + sizeof(SizeT));
}
} // namespace flatbuffers
#endif // FLATBUFFERS_BUFFER_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_BUFFER_REF_H_
#define FLATBUFFERS_BUFFER_REF_H_
#include "flatbuffers/base.h"
#include "flatbuffers/verifier.h"
namespace flatbuffers {
// Convenient way to bundle a buffer and its length, to pass it around
// typed by its root.
// A BufferRef does not own its buffer.
struct BufferRefBase {}; // for std::is_base_of
template <typename T>
struct BufferRef : BufferRefBase {
BufferRef() : buf(nullptr), len(0), must_free(false) {}
BufferRef(uint8_t* _buf, uoffset_t _len)
: buf(_buf), len(_len), must_free(false) {}
~BufferRef() {
if (must_free) free(buf);
}
const T* GetRoot() const { return flatbuffers::GetRoot<T>(buf); }
bool Verify() {
Verifier verifier(buf, len);
return verifier.VerifyBuffer<T>(nullptr);
}
uint8_t* buf;
uoffset_t len;
bool must_free;
};
} // namespace flatbuffers
#endif // FLATBUFFERS_BUFFER_REF_H_
@@ -0,0 +1,64 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_DEFAULT_ALLOCATOR_H_
#define FLATBUFFERS_DEFAULT_ALLOCATOR_H_
#include "flatbuffers/allocator.h"
#include "flatbuffers/base.h"
namespace flatbuffers {
// DefaultAllocator uses new/delete to allocate memory regions
class DefaultAllocator : public Allocator {
public:
uint8_t* allocate(size_t size) FLATBUFFERS_OVERRIDE {
return new uint8_t[size];
}
void deallocate(uint8_t* p, size_t) FLATBUFFERS_OVERRIDE { delete[] p; }
static void dealloc(void* p, size_t) { delete[] static_cast<uint8_t*>(p); }
};
// These functions allow for a null allocator to mean use the default allocator,
// as used by DetachedBuffer and vector_downward below.
// This is to avoid having a statically or dynamically allocated default
// allocator, or having to move it between the classes that may own it.
inline uint8_t* Allocate(Allocator* allocator, size_t size) {
return allocator ? allocator->allocate(size)
: DefaultAllocator().allocate(size);
}
inline void Deallocate(Allocator* allocator, uint8_t* p, size_t size) {
if (allocator)
allocator->deallocate(p, size);
else
DefaultAllocator().deallocate(p, size);
}
inline uint8_t* ReallocateDownward(Allocator* allocator, uint8_t* old_p,
size_t old_size, size_t new_size,
size_t in_use_back, size_t in_use_front) {
return allocator ? allocator->reallocate_downward(old_p, old_size, new_size,
in_use_back, in_use_front)
: DefaultAllocator().reallocate_downward(
old_p, old_size, new_size, in_use_back, in_use_front);
}
} // namespace flatbuffers
#endif // FLATBUFFERS_DEFAULT_ALLOCATOR_H_
@@ -0,0 +1,121 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_DETACHED_BUFFER_H_
#define FLATBUFFERS_DETACHED_BUFFER_H_
#include "flatbuffers/allocator.h"
#include "flatbuffers/base.h"
#include "flatbuffers/default_allocator.h"
namespace flatbuffers {
// DetachedBuffer is a finished flatbuffer memory region, detached from its
// builder. The original memory region and allocator are also stored so that
// the DetachedBuffer can manage the memory lifetime.
class DetachedBuffer {
public:
DetachedBuffer()
: allocator_(nullptr),
own_allocator_(false),
buf_(nullptr),
reserved_(0),
cur_(nullptr),
size_(0) {}
DetachedBuffer(Allocator* allocator, bool own_allocator, uint8_t* buf,
size_t reserved, uint8_t* cur, size_t sz)
: allocator_(allocator),
own_allocator_(own_allocator),
buf_(buf),
reserved_(reserved),
cur_(cur),
size_(sz) {}
DetachedBuffer(DetachedBuffer&& other) noexcept
: allocator_(other.allocator_),
own_allocator_(other.own_allocator_),
buf_(other.buf_),
reserved_(other.reserved_),
cur_(other.cur_),
size_(other.size_) {
other.reset();
}
DetachedBuffer& operator=(DetachedBuffer&& other) noexcept {
if (this == &other) return *this;
destroy();
allocator_ = other.allocator_;
own_allocator_ = other.own_allocator_;
buf_ = other.buf_;
reserved_ = other.reserved_;
cur_ = other.cur_;
size_ = other.size_;
other.reset();
return *this;
}
~DetachedBuffer() { destroy(); }
const uint8_t* data() const { return cur_; }
uint8_t* data() { return cur_; }
size_t size() const { return size_; }
uint8_t* begin() { return data(); }
const uint8_t* begin() const { return data(); }
uint8_t* end() { return data() + size(); }
const uint8_t* end() const { return data() + size(); }
// These may change access mode, leave these at end of public section
FLATBUFFERS_DELETE_FUNC(DetachedBuffer(const DetachedBuffer& other));
FLATBUFFERS_DELETE_FUNC(
DetachedBuffer& operator=(const DetachedBuffer& other));
protected:
Allocator* allocator_;
bool own_allocator_;
uint8_t* buf_;
size_t reserved_;
uint8_t* cur_;
size_t size_;
inline void destroy() {
if (buf_) Deallocate(allocator_, buf_, reserved_);
if (own_allocator_ && allocator_) {
delete allocator_;
}
reset();
}
inline void reset() {
allocator_ = nullptr;
own_allocator_ = false;
buf_ = nullptr;
reserved_ = 0;
cur_ = nullptr;
size_ = 0;
}
};
} // namespace flatbuffers
#endif // FLATBUFFERS_DETACHED_BUFFER_H_
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/*
* Copyright 2014 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_H_
#define FLATBUFFERS_H_
#include <algorithm>
// TODO: These includes are for mitigating the pains of users editing their
// source because they relied on flatbuffers.h to include everything for them.
#include "flatbuffers/array.h"
#include "flatbuffers/base.h"
#include "flatbuffers/buffer.h"
#include "flatbuffers/buffer_ref.h"
#include "flatbuffers/detached_buffer.h"
#include "flatbuffers/flatbuffer_builder.h"
#include "flatbuffers/stl_emulation.h"
#include "flatbuffers/string.h"
#include "flatbuffers/struct.h"
#include "flatbuffers/table.h"
#include "flatbuffers/vector.h"
#include "flatbuffers/vector_downward.h"
#include "flatbuffers/verifier.h"
namespace flatbuffers {
/// @brief This can compute the start of a FlatBuffer from a root pointer, i.e.
/// it is the opposite transformation of GetRoot().
/// This may be useful if you want to pass on a root and have the recipient
/// delete the buffer afterwards.
inline const uint8_t* GetBufferStartFromRootPointer(const void* root) {
auto table = reinterpret_cast<const Table*>(root);
auto vtable = table->GetVTable();
// Either the vtable is before the root or after the root.
auto start = (std::min)(vtable, reinterpret_cast<const uint8_t*>(root));
// Align to at least sizeof(uoffset_t).
start = reinterpret_cast<const uint8_t*>(reinterpret_cast<uintptr_t>(start) &
~(sizeof(uoffset_t) - 1));
// Additionally, there may be a file_identifier in the buffer, and the root
// offset. The buffer may have been aligned to any size between
// sizeof(uoffset_t) and FLATBUFFERS_MAX_ALIGNMENT (see "force_align").
// Sadly, the exact alignment is only known when constructing the buffer,
// since it depends on the presence of values with said alignment properties.
// So instead, we simply look at the next uoffset_t values (root,
// file_identifier, and alignment padding) to see which points to the root.
// None of the other values can "impersonate" the root since they will either
// be 0 or four ASCII characters.
static_assert(flatbuffers::kFileIdentifierLength == sizeof(uoffset_t),
"file_identifier is assumed to be the same size as uoffset_t");
for (auto possible_roots = FLATBUFFERS_MAX_ALIGNMENT / sizeof(uoffset_t) + 1;
possible_roots; possible_roots--) {
start -= sizeof(uoffset_t);
if (ReadScalar<uoffset_t>(start) + start ==
reinterpret_cast<const uint8_t*>(root))
return start;
}
// We didn't find the root, either the "root" passed isn't really a root,
// or the buffer is corrupt.
// Assert, because calling this function with bad data may cause reads
// outside of buffer boundaries.
FLATBUFFERS_ASSERT(false);
return nullptr;
}
/// @brief This return the prefixed size of a FlatBuffer.
template <typename SizeT = uoffset_t>
inline SizeT GetPrefixedSize(const uint8_t* buf) {
return ReadScalar<SizeT>(buf);
}
// Gets the total length of the buffer given a sized prefixed FlatBuffer.
//
// This includes the size of the prefix as well as the buffer:
//
// [size prefix][flatbuffer]
// |---------length--------|
template <typename SizeT = uoffset_t>
inline SizeT GetSizePrefixedBufferLength(const uint8_t* const buf) {
return ReadScalar<SizeT>(buf) + sizeof(SizeT);
}
// Base class for native objects (FlatBuffer data de-serialized into native
// C++ data structures).
// Contains no functionality, purely documentative.
struct NativeTable {};
/// @brief Function types to be used with resolving hashes into objects and
/// back again. The resolver gets a pointer to a field inside an object API
/// object that is of the type specified in the schema using the attribute
/// `cpp_type` (it is thus important whatever you write to this address
/// matches that type). The value of this field is initially null, so you
/// may choose to implement a delayed binding lookup using this function
/// if you wish. The resolver does the opposite lookup, for when the object
/// is being serialized again.
typedef uint64_t hash_value_t;
typedef std::function<void(void** pointer_adr, hash_value_t hash)>
resolver_function_t;
typedef std::function<hash_value_t(void* pointer)> rehasher_function_t;
// Helper function to test if a field is present, using any of the field
// enums in the generated code.
// `table` must be a generated table type. Since this is a template parameter,
// this is not typechecked to be a subclass of Table, so beware!
// Note: this function will return false for fields equal to the default
// value, since they're not stored in the buffer (unless force_defaults was
// used).
template <typename T>
bool IsFieldPresent(const T* table, typename T::FlatBuffersVTableOffset field) {
// Cast, since Table is a private baseclass of any table types.
return reinterpret_cast<const Table*>(table)->CheckField(
static_cast<voffset_t>(field));
}
// Utility function for reverse lookups on the EnumNames*() functions
// (in the generated C++ code)
// names must be NULL terminated.
inline int LookupEnum(const char** names, const char* name) {
for (const char** p = names; *p; p++)
if (!strcmp(*p, name)) return static_cast<int>(p - names);
return -1;
}
// These macros allow us to layout a struct with a guarantee that they'll end
// up looking the same on different compilers and platforms.
// It does this by disallowing the compiler to do any padding, and then
// does padding itself by inserting extra padding fields that make every
// element aligned to its own size.
// Additionally, it manually sets the alignment of the struct as a whole,
// which is typically its largest element, or a custom size set in the schema
// by the force_align attribute.
// These are used in the generated code only.
// clang-format off
#if defined(_MSC_VER)
#define FLATBUFFERS_MANUALLY_ALIGNED_STRUCT(alignment) \
__pragma(pack(1)) \
struct __declspec(align(alignment))
#define FLATBUFFERS_STRUCT_END(name, size) \
__pragma(pack()) \
static_assert(sizeof(name) == size, "compiler breaks packing rules")
#elif defined(__GNUC__) || defined(__clang__) || defined(__ICCARM__)
#define FLATBUFFERS_MANUALLY_ALIGNED_STRUCT(alignment) \
_Pragma("pack(1)") \
struct __attribute__((aligned(alignment)))
#define FLATBUFFERS_STRUCT_END(name, size) \
_Pragma("pack()") \
static_assert(sizeof(name) == size, "compiler breaks packing rules")
#else
#error Unknown compiler, please define structure alignment macros
#endif
// clang-format on
// Minimal reflection via code generation.
// Besides full-fat reflection (see reflection.h) and parsing/printing by
// loading schemas (see idl.h), we can also have code generation for minimal
// reflection data which allows pretty-printing and other uses without needing
// a schema or a parser.
// Generate code with --reflect-types (types only) or --reflect-names (names
// also) to enable.
// See minireflect.h for utilities using this functionality.
// These types are organized slightly differently as the ones in idl.h.
enum SequenceType { ST_TABLE, ST_STRUCT, ST_UNION, ST_ENUM };
// Scalars have the same order as in idl.h
// clang-format off
#define FLATBUFFERS_GEN_ELEMENTARY_TYPES(ET) \
ET(ET_UTYPE) \
ET(ET_BOOL) \
ET(ET_CHAR) \
ET(ET_UCHAR) \
ET(ET_SHORT) \
ET(ET_USHORT) \
ET(ET_INT) \
ET(ET_UINT) \
ET(ET_LONG) \
ET(ET_ULONG) \
ET(ET_FLOAT) \
ET(ET_DOUBLE) \
ET(ET_STRING) \
ET(ET_SEQUENCE) // See SequenceType.
enum ElementaryType {
#define FLATBUFFERS_ET(E) E,
FLATBUFFERS_GEN_ELEMENTARY_TYPES(FLATBUFFERS_ET)
#undef FLATBUFFERS_ET
};
inline const char * const *ElementaryTypeNames() {
static const char * const names[] = {
#define FLATBUFFERS_ET(E) #E,
FLATBUFFERS_GEN_ELEMENTARY_TYPES(FLATBUFFERS_ET)
#undef FLATBUFFERS_ET
};
return names;
}
// clang-format on
// Basic type info cost just 16bits per field!
// We're explicitly defining the signedness since the signedness of integer
// bitfields is otherwise implementation-defined and causes warnings on older
// GCC compilers.
struct TypeCode {
// ElementaryType
unsigned short base_type : 4;
// Either vector (in table) or array (in struct)
unsigned short is_repeating : 1;
// Index into type_refs below, or -1 for none.
signed short sequence_ref : 11;
};
static_assert(sizeof(TypeCode) == 2, "TypeCode");
struct TypeTable;
// Signature of the static method present in each type.
typedef const TypeTable* (*TypeFunction)();
struct TypeTable {
SequenceType st;
size_t num_elems; // of type_codes, values, names (but not type_refs).
const TypeCode* type_codes; // num_elems count
const TypeFunction* type_refs; // less than num_elems entries (see TypeCode).
const int16_t* array_sizes; // less than num_elems entries (see TypeCode).
const int64_t* values; // Only set for non-consecutive enum/union or structs.
const char* const* names; // Only set if compiled with --reflect-names.
};
// String which identifies the current version of FlatBuffers.
inline const char* flatbuffers_version_string() {
return "FlatBuffers " FLATBUFFERS_STRING(FLATBUFFERS_VERSION_MAJOR) "."
FLATBUFFERS_STRING(FLATBUFFERS_VERSION_MINOR) "."
FLATBUFFERS_STRING(FLATBUFFERS_VERSION_REVISION);
}
// clang-format off
#define FLATBUFFERS_DEFINE_BITMASK_OPERATORS(E, T)\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator | (E lhs, E rhs){\
return E(T(lhs) | T(rhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator & (E lhs, E rhs){\
return E(T(lhs) & T(rhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator ^ (E lhs, E rhs){\
return E(T(lhs) ^ T(rhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator ~ (E lhs){\
return E(~T(lhs));\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator |= (E &lhs, E rhs){\
lhs = lhs | rhs;\
return lhs;\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator &= (E &lhs, E rhs){\
lhs = lhs & rhs;\
return lhs;\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 E operator ^= (E &lhs, E rhs){\
lhs = lhs ^ rhs;\
return lhs;\
}\
inline FLATBUFFERS_CONSTEXPR_CPP11 bool operator !(E rhs) \
{\
return !bool(T(rhs)); \
}
/// @endcond
} // namespace flatbuffers
// clang-format on
#endif // FLATBUFFERS_H_
+514
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@@ -0,0 +1,514 @@
/*
* Copyright 2017 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_STL_EMULATION_H_
#define FLATBUFFERS_STL_EMULATION_H_
// clang-format off
#include "flatbuffers/base.h"
#include <string>
#include <type_traits>
#include <vector>
#include <memory>
#include <limits>
#ifndef FLATBUFFERS_USE_STD_OPTIONAL
// Detect C++17 compatible compiler.
// __cplusplus >= 201703L - a compiler has support of 'static inline' variables.
#if (defined(__cplusplus) && __cplusplus >= 201703L) \
|| (defined(_MSVC_LANG) && _MSVC_LANG >= 201703L)
#define FLATBUFFERS_USE_STD_OPTIONAL 1
#else
#define FLATBUFFERS_USE_STD_OPTIONAL 0
#endif // (defined(__cplusplus) && __cplusplus >= 201703L) ...
#endif // FLATBUFFERS_USE_STD_OPTIONAL
#if FLATBUFFERS_USE_STD_OPTIONAL
#include <optional>
#endif
#ifndef FLATBUFFERS_USE_STD_SPAN
// Testing __cpp_lib_span requires including either <version> or <span>,
// both of which were added in C++20.
// See: https://en.cppreference.com/w/cpp/utility/feature_test
#if defined(__cplusplus) && __cplusplus >= 202002L \
|| (defined(_MSVC_LANG) && _MSVC_LANG >= 202002L)
#define FLATBUFFERS_USE_STD_SPAN 1
#endif
#endif // FLATBUFFERS_USE_STD_SPAN
#if defined(FLATBUFFERS_USE_STD_SPAN)
#include <array>
#include <span>
#else
// Disable non-trivial ctors if FLATBUFFERS_SPAN_MINIMAL defined.
#if !defined(FLATBUFFERS_TEMPLATES_ALIASES)
#define FLATBUFFERS_SPAN_MINIMAL
#else
// Enable implicit construction of a span<T,N> from a std::array<T,N>.
#include <array>
#endif
#endif // defined(FLATBUFFERS_USE_STD_SPAN)
// This header provides backwards compatibility for older versions of the STL.
namespace flatbuffers {
#if defined(FLATBUFFERS_TEMPLATES_ALIASES)
template <typename T>
using numeric_limits = std::numeric_limits<T>;
#else
template <typename T> class numeric_limits :
public std::numeric_limits<T> {};
#endif // defined(FLATBUFFERS_TEMPLATES_ALIASES)
#if defined(FLATBUFFERS_TEMPLATES_ALIASES)
template <typename T> using is_scalar = std::is_scalar<T>;
template <typename T, typename U> using is_same = std::is_same<T,U>;
template <typename T> using is_floating_point = std::is_floating_point<T>;
template <typename T> using is_unsigned = std::is_unsigned<T>;
template <typename T> using is_enum = std::is_enum<T>;
template <typename T> using make_unsigned = std::make_unsigned<T>;
template<bool B, class T, class F>
using conditional = std::conditional<B, T, F>;
template<class T, T v>
using integral_constant = std::integral_constant<T, v>;
template <bool B>
using bool_constant = integral_constant<bool, B>;
using true_type = std::true_type;
using false_type = std::false_type;
#else
// MSVC 2010 doesn't support C++11 aliases.
template <typename T> struct is_scalar : public std::is_scalar<T> {};
template <typename T, typename U> struct is_same : public std::is_same<T,U> {};
template <typename T> struct is_floating_point :
public std::is_floating_point<T> {};
template <typename T> struct is_unsigned : public std::is_unsigned<T> {};
template <typename T> struct is_enum : public std::is_enum<T> {};
template <typename T> struct make_unsigned : public std::make_unsigned<T> {};
template<bool B, class T, class F>
struct conditional : public std::conditional<B, T, F> {};
template<class T, T v>
struct integral_constant : public std::integral_constant<T, v> {};
template <bool B>
struct bool_constant : public integral_constant<bool, B> {};
typedef bool_constant<true> true_type;
typedef bool_constant<false> false_type;
#endif // defined(FLATBUFFERS_TEMPLATES_ALIASES)
#if defined(FLATBUFFERS_TEMPLATES_ALIASES)
template <class T> using unique_ptr = std::unique_ptr<T>;
#else
// MSVC 2010 doesn't support C++11 aliases.
// We're manually "aliasing" the class here as we want to bring unique_ptr
// into the flatbuffers namespace. We have unique_ptr in the flatbuffers
// namespace we have a completely independent implementation (see below)
// for C++98 STL implementations.
template <class T> class unique_ptr : public std::unique_ptr<T> {
public:
unique_ptr() {}
explicit unique_ptr(T* p) : std::unique_ptr<T>(p) {}
unique_ptr(std::unique_ptr<T>&& u) { *this = std::move(u); }
unique_ptr(unique_ptr&& u) { *this = std::move(u); }
unique_ptr& operator=(std::unique_ptr<T>&& u) {
std::unique_ptr<T>::reset(u.release());
return *this;
}
unique_ptr& operator=(unique_ptr&& u) {
std::unique_ptr<T>::reset(u.release());
return *this;
}
unique_ptr& operator=(T* p) {
return std::unique_ptr<T>::operator=(p);
}
};
#endif // defined(FLATBUFFERS_TEMPLATES_ALIASES)
#if FLATBUFFERS_USE_STD_OPTIONAL
template<class T>
using Optional = std::optional<T>;
using nullopt_t = std::nullopt_t;
inline constexpr nullopt_t nullopt = std::nullopt;
#else
// Limited implementation of Optional<T> type for a scalar T.
// This implementation limited by trivial types compatible with
// std::is_arithmetic<T> or std::is_enum<T> type traits.
// A tag to indicate an empty flatbuffers::optional<T>.
struct nullopt_t {
explicit FLATBUFFERS_CONSTEXPR_CPP11 nullopt_t(int) {}
};
#if defined(FLATBUFFERS_CONSTEXPR_DEFINED)
namespace internal {
template <class> struct nullopt_holder {
static constexpr nullopt_t instance_ = nullopt_t(0);
};
template<class Dummy>
constexpr nullopt_t nullopt_holder<Dummy>::instance_;
}
static constexpr const nullopt_t &nullopt = internal::nullopt_holder<void>::instance_;
#else
namespace internal {
template <class> struct nullopt_holder {
static const nullopt_t instance_;
};
template<class Dummy>
const nullopt_t nullopt_holder<Dummy>::instance_ = nullopt_t(0);
}
static const nullopt_t &nullopt = internal::nullopt_holder<void>::instance_;
#endif
template<class T>
class Optional FLATBUFFERS_FINAL_CLASS {
// Non-scalar 'T' would extremely complicated Optional<T>.
// Use is_scalar<T> checking because flatbuffers flatbuffers::is_arithmetic<T>
// isn't implemented.
static_assert(flatbuffers::is_scalar<T>::value, "unexpected type T");
public:
~Optional() {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional() FLATBUFFERS_NOEXCEPT
: value_(), has_value_(false) {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional(nullopt_t) FLATBUFFERS_NOEXCEPT
: value_(), has_value_(false) {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional(T val) FLATBUFFERS_NOEXCEPT
: value_(val), has_value_(true) {}
FLATBUFFERS_CONSTEXPR_CPP11 Optional(const Optional &other) FLATBUFFERS_NOEXCEPT
: value_(other.value_), has_value_(other.has_value_) {}
FLATBUFFERS_CONSTEXPR_CPP14 Optional &operator=(const Optional &other) FLATBUFFERS_NOEXCEPT {
value_ = other.value_;
has_value_ = other.has_value_;
return *this;
}
FLATBUFFERS_CONSTEXPR_CPP14 Optional &operator=(nullopt_t) FLATBUFFERS_NOEXCEPT {
value_ = T();
has_value_ = false;
return *this;
}
FLATBUFFERS_CONSTEXPR_CPP14 Optional &operator=(T val) FLATBUFFERS_NOEXCEPT {
value_ = val;
has_value_ = true;
return *this;
}
void reset() FLATBUFFERS_NOEXCEPT {
*this = nullopt;
}
void swap(Optional &other) FLATBUFFERS_NOEXCEPT {
std::swap(value_, other.value_);
std::swap(has_value_, other.has_value_);
}
FLATBUFFERS_CONSTEXPR_CPP11 FLATBUFFERS_EXPLICIT_CPP11 operator bool() const FLATBUFFERS_NOEXCEPT {
return has_value_;
}
FLATBUFFERS_CONSTEXPR_CPP11 bool has_value() const FLATBUFFERS_NOEXCEPT {
return has_value_;
}
FLATBUFFERS_CONSTEXPR_CPP11 const T& operator*() const FLATBUFFERS_NOEXCEPT {
return value_;
}
const T& value() const {
FLATBUFFERS_ASSERT(has_value());
return value_;
}
T value_or(T default_value) const FLATBUFFERS_NOEXCEPT {
return has_value() ? value_ : default_value;
}
private:
T value_;
bool has_value_;
};
template<class T>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const Optional<T>& opt, nullopt_t) FLATBUFFERS_NOEXCEPT {
return !opt;
}
template<class T>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(nullopt_t, const Optional<T>& opt) FLATBUFFERS_NOEXCEPT {
return !opt;
}
template<class T, class U>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const Optional<T>& lhs, const U& rhs) FLATBUFFERS_NOEXCEPT {
return static_cast<bool>(lhs) && (*lhs == rhs);
}
template<class T, class U>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const T& lhs, const Optional<U>& rhs) FLATBUFFERS_NOEXCEPT {
return static_cast<bool>(rhs) && (lhs == *rhs);
}
template<class T, class U>
FLATBUFFERS_CONSTEXPR_CPP11 bool operator==(const Optional<T>& lhs, const Optional<U>& rhs) FLATBUFFERS_NOEXCEPT {
return static_cast<bool>(lhs) != static_cast<bool>(rhs)
? false
: !static_cast<bool>(lhs) ? true : (*lhs == *rhs);
}
#endif // FLATBUFFERS_USE_STD_OPTIONAL
// Very limited and naive partial implementation of C++20 std::span<T,Extent>.
#if defined(FLATBUFFERS_USE_STD_SPAN)
inline constexpr std::size_t dynamic_extent = std::dynamic_extent;
template<class T, std::size_t Extent = std::dynamic_extent>
using span = std::span<T, Extent>;
#else // !defined(FLATBUFFERS_USE_STD_SPAN)
FLATBUFFERS_CONSTEXPR std::size_t dynamic_extent = static_cast<std::size_t>(-1);
// Exclude this code if MSVC2010 or non-STL Android is active.
// The non-STL Android doesn't have `std::is_convertible` required for SFINAE.
#if !defined(FLATBUFFERS_SPAN_MINIMAL)
namespace internal {
// This is SFINAE helper class for checking of a common condition:
// > This overload only participates in overload resolution
// > Check whether a pointer to an array of From can be converted
// > to a pointer to an array of To.
// This helper is used for checking of 'From -> const From'.
template<class To, std::size_t Extent, class From, std::size_t N>
struct is_span_convertible {
using type =
typename std::conditional<std::is_convertible<From (*)[], To (*)[]>::value
&& (Extent == dynamic_extent || N == Extent),
int, void>::type;
};
template<typename T>
struct SpanIterator {
// TODO: upgrade to std::random_access_iterator_tag.
using iterator_category = std::forward_iterator_tag;
using difference_type = std::ptrdiff_t;
using value_type = typename std::remove_cv<T>::type;
using reference = T&;
using pointer = T*;
// Convince MSVC compiler that this iterator is trusted (it is verified).
#ifdef _MSC_VER
using _Unchecked_type = pointer;
#endif // _MSC_VER
SpanIterator(pointer ptr) : ptr_(ptr) {}
reference operator*() const { return *ptr_; }
pointer operator->() { return ptr_; }
SpanIterator& operator++() { ptr_++; return *this; }
SpanIterator operator++(int) { auto tmp = *this; ++(*this); return tmp; }
friend bool operator== (const SpanIterator& lhs, const SpanIterator& rhs) { return lhs.ptr_ == rhs.ptr_; }
friend bool operator!= (const SpanIterator& lhs, const SpanIterator& rhs) { return lhs.ptr_ != rhs.ptr_; }
private:
pointer ptr_;
};
} // namespace internal
#endif // !defined(FLATBUFFERS_SPAN_MINIMAL)
// T - element type; must be a complete type that is not an abstract
// class type.
// Extent - the number of elements in the sequence, or dynamic.
template<class T, std::size_t Extent = dynamic_extent>
class span FLATBUFFERS_FINAL_CLASS {
public:
typedef T element_type;
typedef T& reference;
typedef const T& const_reference;
typedef T* pointer;
typedef const T* const_pointer;
typedef std::size_t size_type;
static FLATBUFFERS_CONSTEXPR size_type extent = Extent;
// Returns the number of elements in the span.
FLATBUFFERS_CONSTEXPR_CPP11 size_type size() const FLATBUFFERS_NOEXCEPT {
return count_;
}
// Returns the size of the sequence in bytes.
FLATBUFFERS_CONSTEXPR_CPP11
size_type size_bytes() const FLATBUFFERS_NOEXCEPT {
return size() * sizeof(element_type);
}
// Checks if the span is empty.
FLATBUFFERS_CONSTEXPR_CPP11 bool empty() const FLATBUFFERS_NOEXCEPT {
return size() == 0;
}
// Returns a pointer to the beginning of the sequence.
FLATBUFFERS_CONSTEXPR_CPP11 pointer data() const FLATBUFFERS_NOEXCEPT {
return data_;
}
#if !defined(FLATBUFFERS_SPAN_MINIMAL)
using Iterator = internal::SpanIterator<T>;
Iterator begin() const { return Iterator(data()); }
Iterator end() const { return Iterator(data() + size()); }
#endif
// Returns a reference to the idx-th element of the sequence.
// The behavior is undefined if the idx is greater than or equal to size().
FLATBUFFERS_CONSTEXPR_CPP11 reference operator[](size_type idx) const {
return data()[idx];
}
FLATBUFFERS_CONSTEXPR_CPP11 span(const span &other) FLATBUFFERS_NOEXCEPT
: data_(other.data_), count_(other.count_) {}
FLATBUFFERS_CONSTEXPR_CPP14 span &operator=(const span &other)
FLATBUFFERS_NOEXCEPT {
data_ = other.data_;
count_ = other.count_;
}
// Limited implementation of
// `template <class It> constexpr std::span(It first, size_type count);`.
//
// Constructs a span that is a view over the range [first, first + count);
// the resulting span has: data() == first and size() == count.
// The behavior is undefined if [first, first + count) is not a valid range,
// or if (extent != flatbuffers::dynamic_extent && count != extent).
FLATBUFFERS_CONSTEXPR_CPP11
explicit span(pointer first, size_type count) FLATBUFFERS_NOEXCEPT
: data_ (Extent == dynamic_extent ? first : (Extent == count ? first : nullptr)),
count_(Extent == dynamic_extent ? count : (Extent == count ? Extent : 0)) {
// Make span empty if the count argument is incompatible with span<T,N>.
}
// Exclude this code if MSVC2010 is active. The MSVC2010 isn't C++11
// compliant, it doesn't support default template arguments for functions.
#if defined(FLATBUFFERS_SPAN_MINIMAL)
FLATBUFFERS_CONSTEXPR_CPP11 span() FLATBUFFERS_NOEXCEPT : data_(nullptr),
count_(0) {
static_assert(extent == 0 || extent == dynamic_extent, "invalid span");
}
#else
// Constructs an empty span whose data() == nullptr and size() == 0.
// This overload only participates in overload resolution if
// extent == 0 || extent == flatbuffers::dynamic_extent.
// A dummy template argument N is need dependency for SFINAE.
template<std::size_t N = 0,
typename internal::is_span_convertible<element_type, Extent, element_type, (N - N)>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span() FLATBUFFERS_NOEXCEPT : data_(nullptr),
count_(0) {
static_assert(extent == 0 || extent == dynamic_extent, "invalid span");
}
// Constructs a span that is a view over the array arr; the resulting span
// has size() == N and data() == std::data(arr). These overloads only
// participate in overload resolution if
// extent == std::dynamic_extent || N == extent is true and
// std::remove_pointer_t<decltype(std::data(arr))>(*)[]
// is convertible to element_type (*)[].
template<std::size_t N,
typename internal::is_span_convertible<element_type, Extent, element_type, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(element_type (&arr)[N]) FLATBUFFERS_NOEXCEPT
: data_(arr), count_(N) {}
template<class U, std::size_t N,
typename internal::is_span_convertible<element_type, Extent, U, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(std::array<U, N> &arr) FLATBUFFERS_NOEXCEPT
: data_(arr.data()), count_(N) {}
//template<class U, std::size_t N,
// int = 0>
//FLATBUFFERS_CONSTEXPR_CPP11 span(std::array<U, N> &arr) FLATBUFFERS_NOEXCEPT
// : data_(arr.data()), count_(N) {}
template<class U, std::size_t N,
typename internal::is_span_convertible<element_type, Extent, U, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(const std::array<U, N> &arr) FLATBUFFERS_NOEXCEPT
: data_(arr.data()), count_(N) {}
// Converting constructor from another span s;
// the resulting span has size() == s.size() and data() == s.data().
// This overload only participates in overload resolution
// if extent == std::dynamic_extent || N == extent is true and U (*)[]
// is convertible to element_type (*)[].
template<class U, std::size_t N,
typename internal::is_span_convertible<element_type, Extent, U, N>::type = 0>
FLATBUFFERS_CONSTEXPR_CPP11 span(const flatbuffers::span<U, N> &s) FLATBUFFERS_NOEXCEPT
: span(s.data(), s.size()) {
}
#endif // !defined(FLATBUFFERS_SPAN_MINIMAL)
private:
// This is a naive implementation with 'count_' member even if (Extent != dynamic_extent).
pointer const data_;
size_type count_;
};
#endif // defined(FLATBUFFERS_USE_STD_SPAN)
#if !defined(FLATBUFFERS_SPAN_MINIMAL)
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<ElementType, Extent> make_span(ElementType(&arr)[Extent]) FLATBUFFERS_NOEXCEPT {
return span<ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<const ElementType, Extent> make_span(const ElementType(&arr)[Extent]) FLATBUFFERS_NOEXCEPT {
return span<const ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<ElementType, Extent> make_span(std::array<ElementType, Extent> &arr) FLATBUFFERS_NOEXCEPT {
return span<ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<const ElementType, Extent> make_span(const std::array<ElementType, Extent> &arr) FLATBUFFERS_NOEXCEPT {
return span<const ElementType, Extent>(arr);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<ElementType, dynamic_extent> make_span(ElementType *first, std::size_t count) FLATBUFFERS_NOEXCEPT {
return span<ElementType, dynamic_extent>(first, count);
}
template<class ElementType, std::size_t Extent>
FLATBUFFERS_CONSTEXPR_CPP11
flatbuffers::span<const ElementType, dynamic_extent> make_span(const ElementType *first, std::size_t count) FLATBUFFERS_NOEXCEPT {
return span<const ElementType, dynamic_extent>(first, count);
}
#endif // !defined(FLATBUFFERS_SPAN_MINIMAL)
} // namespace flatbuffers
#endif // FLATBUFFERS_STL_EMULATION_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_STRING_H_
#define FLATBUFFERS_STRING_H_
#include "flatbuffers/base.h"
#include "flatbuffers/vector.h"
namespace flatbuffers {
struct String : public Vector<char> {
const char* c_str() const { return reinterpret_cast<const char*>(Data()); }
std::string str() const { return std::string(c_str(), size()); }
// clang-format off
#ifdef FLATBUFFERS_HAS_STRING_VIEW
flatbuffers::string_view string_view() const {
return flatbuffers::string_view(c_str(), size());
}
/* implicit */
operator flatbuffers::string_view() const {
return flatbuffers::string_view(c_str(), size());
}
#endif // FLATBUFFERS_HAS_STRING_VIEW
// clang-format on
bool operator<(const String& o) const {
return StringLessThan(this->data(), this->size(), o.data(), o.size());
}
};
// Convenience function to get std::string from a String returning an empty
// string on null pointer.
static inline std::string GetString(const String* str) {
return str ? str->str() : "";
}
// Convenience function to get char* from a String returning an empty string on
// null pointer.
static inline const char* GetCstring(const String* str) {
return str ? str->c_str() : "";
}
#ifdef FLATBUFFERS_HAS_STRING_VIEW
// Convenience function to get string_view from a String returning an empty
// string_view on null pointer.
static inline flatbuffers::string_view GetStringView(const String* str) {
return str ? str->string_view() : flatbuffers::string_view();
}
#endif // FLATBUFFERS_HAS_STRING_VIEW
} // namespace flatbuffers
#endif // FLATBUFFERS_STRING_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_STRUCT_H_
#define FLATBUFFERS_STRUCT_H_
#include "flatbuffers/base.h"
namespace flatbuffers {
// "structs" are flat structures that do not have an offset table, thus
// always have all members present and do not support forwards/backwards
// compatible extensions.
class Struct FLATBUFFERS_FINAL_CLASS {
public:
template <typename T>
T GetField(uoffset_t o) const {
return ReadScalar<T>(&data_[o]);
}
template <typename T>
T GetStruct(uoffset_t o) const {
return reinterpret_cast<T>(&data_[o]);
}
const uint8_t* GetAddressOf(uoffset_t o) const { return &data_[o]; }
uint8_t* GetAddressOf(uoffset_t o) { return &data_[o]; }
private:
// private constructor & copy constructor: you obtain instances of this
// class by pointing to existing data only
Struct();
Struct(const Struct&);
Struct& operator=(const Struct&);
uint8_t data_[1];
};
} // namespace flatbuffers
#endif // FLATBUFFERS_STRUCT_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_TABLE_H_
#define FLATBUFFERS_TABLE_H_
#include "flatbuffers/base.h"
#include "flatbuffers/verifier.h"
namespace flatbuffers {
// "tables" use an offset table (possibly shared) that allows fields to be
// omitted and added at will, but uses an extra indirection to read.
class Table {
public:
const uint8_t* GetVTable() const {
return data_ - ReadScalar<soffset_t>(data_);
}
// This gets the field offset for any of the functions below it, or 0
// if the field was not present.
voffset_t GetOptionalFieldOffset(voffset_t field) const {
// The vtable offset is always at the start.
auto vtable = GetVTable();
// The first element is the size of the vtable (fields + type id + itself).
auto vtsize = ReadScalar<voffset_t>(vtable);
// If the field we're accessing is outside the vtable, we're reading older
// data, so it's the same as if the offset was 0 (not present).
return field < vtsize ? ReadScalar<voffset_t>(vtable + field) : 0;
}
template <typename T>
T GetField(voffset_t field, T defaultval) const {
auto field_offset = GetOptionalFieldOffset(field);
return field_offset ? ReadScalar<T>(data_ + field_offset) : defaultval;
}
template <typename P, typename OffsetSize = uoffset_t>
P GetPointer(voffset_t field) {
auto field_offset = GetOptionalFieldOffset(field);
auto p = data_ + field_offset;
return field_offset ? reinterpret_cast<P>(p + ReadScalar<OffsetSize>(p))
: nullptr;
}
template <typename P, typename OffsetSize = uoffset_t>
P GetPointer(voffset_t field) const {
return const_cast<Table*>(this)->GetPointer<P, OffsetSize>(field);
}
template <typename P>
P GetPointer64(voffset_t field) {
return GetPointer<P, uoffset64_t>(field);
}
template <typename P>
P GetPointer64(voffset_t field) const {
return GetPointer<P, uoffset64_t>(field);
}
template <typename P>
P GetStruct(voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
auto p = const_cast<uint8_t*>(data_ + field_offset);
return field_offset ? reinterpret_cast<P>(p) : nullptr;
}
template <typename Raw, typename Face>
flatbuffers::Optional<Face> GetOptional(voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
auto p = data_ + field_offset;
return field_offset ? Optional<Face>(static_cast<Face>(ReadScalar<Raw>(p)))
: Optional<Face>();
}
template <typename T>
bool SetField(voffset_t field, T val, T def) {
auto field_offset = GetOptionalFieldOffset(field);
if (!field_offset) return IsTheSameAs(val, def);
WriteScalar(data_ + field_offset, val);
return true;
}
template <typename T>
bool SetField(voffset_t field, T val) {
auto field_offset = GetOptionalFieldOffset(field);
if (!field_offset) return false;
WriteScalar(data_ + field_offset, val);
return true;
}
bool SetPointer(voffset_t field, const uint8_t* val) {
auto field_offset = GetOptionalFieldOffset(field);
if (!field_offset) return false;
WriteScalar(data_ + field_offset,
static_cast<uoffset_t>(val - (data_ + field_offset)));
return true;
}
uint8_t* GetAddressOf(voffset_t field) {
auto field_offset = GetOptionalFieldOffset(field);
return field_offset ? data_ + field_offset : nullptr;
}
const uint8_t* GetAddressOf(voffset_t field) const {
return const_cast<Table*>(this)->GetAddressOf(field);
}
bool CheckField(voffset_t field) const {
return GetOptionalFieldOffset(field) != 0;
}
// Verify the vtable of this table.
// Call this once per table, followed by VerifyField once per field.
bool VerifyTableStart(Verifier& verifier) const {
return verifier.VerifyTableStart(data_);
}
// Verify a particular field.
template <typename T>
bool VerifyField(const Verifier& verifier, voffset_t field,
size_t align) const {
// Calling GetOptionalFieldOffset should be safe now thanks to
// VerifyTable().
auto field_offset = GetOptionalFieldOffset(field);
// Check the actual field.
return !field_offset || verifier.VerifyField<T>(data_, field_offset, align);
}
// VerifyField for required fields.
template <typename T>
bool VerifyFieldRequired(const Verifier& verifier, voffset_t field,
size_t align) const {
auto field_offset = GetOptionalFieldOffset(field);
return verifier.Check(field_offset != 0) &&
verifier.VerifyField<T>(data_, field_offset, align);
}
// Versions for offsets.
template <typename OffsetT = uoffset_t>
bool VerifyOffset(const Verifier& verifier, voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
return !field_offset || verifier.VerifyOffset<OffsetT>(data_, field_offset);
}
template <typename OffsetT = uoffset_t>
bool VerifyOffsetRequired(const Verifier& verifier, voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
return verifier.Check(field_offset != 0) &&
verifier.VerifyOffset<OffsetT>(data_, field_offset);
}
bool VerifyOffset64(const Verifier& verifier, voffset_t field) const {
return VerifyOffset<uoffset64_t>(verifier, field);
}
bool VerifyOffset64Required(const Verifier& verifier, voffset_t field) const {
return VerifyOffsetRequired<uoffset64_t>(verifier, field);
}
private:
// private constructor & copy constructor: you obtain instances of this
// class by pointing to existing data only
Table();
Table(const Table& other);
Table& operator=(const Table&);
uint8_t data_[1];
};
// This specialization allows avoiding warnings like:
// MSVC C4800: type: forcing value to bool 'true' or 'false'.
template <>
inline flatbuffers::Optional<bool> Table::GetOptional<uint8_t, bool>(
voffset_t field) const {
auto field_offset = GetOptionalFieldOffset(field);
auto p = data_ + field_offset;
return field_offset ? Optional<bool>(ReadScalar<uint8_t>(p) != 0)
: Optional<bool>();
}
} // namespace flatbuffers
#endif // FLATBUFFERS_TABLE_H_
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/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_VECTOR_H_
#define FLATBUFFERS_VECTOR_H_
#include "flatbuffers/base.h"
#include "flatbuffers/buffer.h"
#include "flatbuffers/stl_emulation.h"
namespace flatbuffers {
struct String;
// An STL compatible iterator implementation for Vector below, effectively
// calling Get() for every element.
template <typename T, typename IT, typename Data = uint8_t*,
typename SizeT = uoffset_t>
struct VectorIterator {
typedef std::random_access_iterator_tag iterator_category;
typedef IT value_type;
typedef ptrdiff_t difference_type;
typedef IT* pointer;
typedef IT& reference;
static const SizeT element_stride = IndirectHelper<T>::element_stride;
VectorIterator(Data data, SizeT i) : data_(data + element_stride * i) {}
VectorIterator(const VectorIterator& other) : data_(other.data_) {}
VectorIterator() : data_(nullptr) {}
VectorIterator& operator=(const VectorIterator& other) {
data_ = other.data_;
return *this;
}
VectorIterator& operator=(VectorIterator&& other) {
data_ = other.data_;
return *this;
}
bool operator==(const VectorIterator& other) const {
return data_ == other.data_;
}
bool operator!=(const VectorIterator& other) const {
return data_ != other.data_;
}
bool operator<(const VectorIterator& other) const {
return data_ < other.data_;
}
bool operator>(const VectorIterator& other) const {
return data_ > other.data_;
}
bool operator<=(const VectorIterator& other) const {
return !(data_ > other.data_);
}
bool operator>=(const VectorIterator& other) const {
return !(data_ < other.data_);
}
difference_type operator-(const VectorIterator& other) const {
return (data_ - other.data_) / element_stride;
}
// Note: return type is incompatible with the standard
// `reference operator*()`.
IT operator*() const { return IndirectHelper<T>::Read(data_, 0); }
// Note: return type is incompatible with the standard
// `pointer operator->()`.
IT operator->() const { return IndirectHelper<T>::Read(data_, 0); }
VectorIterator& operator++() {
data_ += element_stride;
return *this;
}
VectorIterator operator++(int) {
VectorIterator temp(data_, 0);
data_ += element_stride;
return temp;
}
VectorIterator operator+(const SizeT& offset) const {
return VectorIterator(data_ + offset * element_stride, 0);
}
VectorIterator& operator+=(const SizeT& offset) {
data_ += offset * element_stride;
return *this;
}
VectorIterator& operator--() {
data_ -= element_stride;
return *this;
}
VectorIterator operator--(int) {
VectorIterator temp(data_, 0);
data_ -= element_stride;
return temp;
}
VectorIterator operator-(const SizeT& offset) const {
return VectorIterator(data_ - offset * element_stride, 0);
}
VectorIterator& operator-=(const SizeT& offset) {
data_ -= offset * element_stride;
return *this;
}
private:
Data data_;
};
template <typename T, typename IT, typename SizeT = uoffset_t>
using VectorConstIterator = VectorIterator<T, IT, const uint8_t*, SizeT>;
template <typename Iterator>
struct VectorReverseIterator : public std::reverse_iterator<Iterator> {
explicit VectorReverseIterator(Iterator iter)
: std::reverse_iterator<Iterator>(iter) {}
// Note: return type is incompatible with the standard
// `reference operator*()`.
typename Iterator::value_type operator*() const {
auto tmp = std::reverse_iterator<Iterator>::current;
return *--tmp;
}
// Note: return type is incompatible with the standard
// `pointer operator->()`.
typename Iterator::value_type operator->() const {
auto tmp = std::reverse_iterator<Iterator>::current;
return *--tmp;
}
};
// This is used as a helper type for accessing vectors.
// Vector::data() assumes the vector elements start after the length field.
template <typename T, typename SizeT = uoffset_t>
class Vector {
public:
typedef VectorIterator<T, typename IndirectHelper<T>::mutable_return_type,
uint8_t*, SizeT>
iterator;
typedef VectorConstIterator<T, typename IndirectHelper<T>::return_type, SizeT>
const_iterator;
typedef VectorReverseIterator<iterator> reverse_iterator;
typedef VectorReverseIterator<const_iterator> const_reverse_iterator;
typedef typename flatbuffers::bool_constant<flatbuffers::is_scalar<T>::value>
scalar_tag;
static FLATBUFFERS_CONSTEXPR bool is_span_observable =
scalar_tag::value && (FLATBUFFERS_LITTLEENDIAN || sizeof(T) == 1);
SizeT size() const { return EndianScalar(length_); }
// Returns true if the vector is empty.
//
// This just provides another standardized method that is expected of vectors.
bool empty() const { return size() == 0; }
// Deprecated: use size(). Here for backwards compatibility.
FLATBUFFERS_ATTRIBUTE([[deprecated("use size() instead")]])
SizeT Length() const { return size(); }
typedef SizeT size_type;
typedef typename IndirectHelper<T>::return_type return_type;
typedef typename IndirectHelper<T>::mutable_return_type mutable_return_type;
typedef return_type value_type;
return_type Get(SizeT i) const {
FLATBUFFERS_ASSERT(i < size());
return IndirectHelper<T>::Read(Data(), i);
}
return_type operator[](SizeT i) const { return Get(i); }
// If this is a Vector of enums, T will be its storage type, not the enum
// type. This function makes it convenient to retrieve value with enum
// type E.
template <typename E>
E GetEnum(SizeT i) const {
return static_cast<E>(Get(i));
}
// If this a vector of unions, this does the cast for you. There's no check
// to make sure this is the right type!
template <typename U>
const U* GetAs(SizeT i) const {
return reinterpret_cast<const U*>(Get(i));
}
// If this a vector of unions, this does the cast for you. There's no check
// to make sure this is actually a string!
const String* GetAsString(SizeT i) const {
return reinterpret_cast<const String*>(Get(i));
}
const void* GetStructFromOffset(size_t o) const {
return reinterpret_cast<const void*>(Data() + o);
}
iterator begin() { return iterator(Data(), 0); }
const_iterator begin() const { return const_iterator(Data(), 0); }
iterator end() { return iterator(Data(), size()); }
const_iterator end() const { return const_iterator(Data(), size()); }
reverse_iterator rbegin() { return reverse_iterator(end()); }
const_reverse_iterator rbegin() const {
return const_reverse_iterator(end());
}
reverse_iterator rend() { return reverse_iterator(begin()); }
const_reverse_iterator rend() const {
return const_reverse_iterator(begin());
}
const_iterator cbegin() const { return begin(); }
const_iterator cend() const { return end(); }
const_reverse_iterator crbegin() const { return rbegin(); }
const_reverse_iterator crend() const { return rend(); }
// Change elements if you have a non-const pointer to this object.
// Scalars only. See reflection.h, and the documentation.
void Mutate(SizeT i, const T& val) {
FLATBUFFERS_ASSERT(i < size());
WriteScalar(data() + i, val);
}
// Change an element of a vector of tables (or strings).
// "val" points to the new table/string, as you can obtain from
// e.g. reflection::AddFlatBuffer().
void MutateOffset(SizeT i, const uint8_t* val) {
FLATBUFFERS_ASSERT(i < size());
static_assert(sizeof(T) == sizeof(SizeT), "Unrelated types");
WriteScalar(data() + i,
static_cast<SizeT>(val - (Data() + i * sizeof(SizeT))));
}
// Get a mutable pointer to tables/strings inside this vector.
mutable_return_type GetMutableObject(SizeT i) const {
FLATBUFFERS_ASSERT(i < size());
return const_cast<mutable_return_type>(IndirectHelper<T>::Read(Data(), i));
}
// The raw data in little endian format. Use with care.
const uint8_t* Data() const {
return reinterpret_cast<const uint8_t*>(&length_ + 1);
}
uint8_t* Data() { return reinterpret_cast<uint8_t*>(&length_ + 1); }
// Similarly, but typed, much like std::vector::data
const T* data() const { return reinterpret_cast<const T*>(Data()); }
T* data() { return reinterpret_cast<T*>(Data()); }
template <typename K>
return_type LookupByKey(K key) const {
void* search_result = std::bsearch(
&key, Data(), size(), IndirectHelper<T>::element_stride, KeyCompare<K>);
if (!search_result) {
return nullptr; // Key not found.
}
const uint8_t* element = reinterpret_cast<const uint8_t*>(search_result);
return IndirectHelper<T>::Read(element, 0);
}
template <typename K>
mutable_return_type MutableLookupByKey(K key) {
return const_cast<mutable_return_type>(LookupByKey(key));
}
protected:
// This class is only used to access pre-existing data. Don't ever
// try to construct these manually.
Vector();
SizeT length_;
private:
// This class is a pointer. Copying will therefore create an invalid object.
// Private and unimplemented copy constructor.
Vector(const Vector&);
Vector& operator=(const Vector&);
template <typename K>
static int KeyCompare(const void* ap, const void* bp) {
const K* key = reinterpret_cast<const K*>(ap);
const uint8_t* data = reinterpret_cast<const uint8_t*>(bp);
auto table = IndirectHelper<T>::Read(data, 0);
// std::bsearch compares with the operands transposed, so we negate the
// result here.
return -table->KeyCompareWithValue(*key);
}
};
template <typename T>
using Vector64 = Vector<T, uoffset64_t>;
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<U> make_span(Vector<U>& vec)
FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<U>(vec.data(), vec.size());
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const U> make_span(
const Vector<U>& vec) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<const U>(vec.data(), vec.size());
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<uint8_t> make_bytes_span(
Vector<U>& vec) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::scalar_tag::value,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<uint8_t>(vec.Data(), vec.size() * sizeof(U));
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const uint8_t> make_bytes_span(
const Vector<U>& vec) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::scalar_tag::value,
"wrong type U, only LE-scalar, or byte types are allowed");
return span<const uint8_t>(vec.Data(), vec.size() * sizeof(U));
}
// Convenient helper functions to get a span of any vector, regardless
// of whether it is null or not (the field is not set).
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<U> make_span(Vector<U>* ptr)
FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return ptr ? make_span(*ptr) : span<U>();
}
template <class U>
FLATBUFFERS_CONSTEXPR_CPP11 flatbuffers::span<const U> make_span(
const Vector<U>* ptr) FLATBUFFERS_NOEXCEPT {
static_assert(Vector<U>::is_span_observable,
"wrong type U, only LE-scalar, or byte types are allowed");
return ptr ? make_span(*ptr) : span<const U>();
}
// Represent a vector much like the template above, but in this case we
// don't know what the element types are (used with reflection.h).
class VectorOfAny {
public:
uoffset_t size() const { return EndianScalar(length_); }
const uint8_t* Data() const {
return reinterpret_cast<const uint8_t*>(&length_ + 1);
}
uint8_t* Data() { return reinterpret_cast<uint8_t*>(&length_ + 1); }
protected:
VectorOfAny();
uoffset_t length_;
private:
VectorOfAny(const VectorOfAny&);
VectorOfAny& operator=(const VectorOfAny&);
};
template <typename T, typename U>
Vector<Offset<T>>* VectorCast(Vector<Offset<U>>* ptr) {
static_assert(std::is_base_of<T, U>::value, "Unrelated types");
return reinterpret_cast<Vector<Offset<T>>*>(ptr);
}
template <typename T, typename U>
const Vector<Offset<T>>* VectorCast(const Vector<Offset<U>>* ptr) {
static_assert(std::is_base_of<T, U>::value, "Unrelated types");
return reinterpret_cast<const Vector<Offset<T>>*>(ptr);
}
// Convenient helper function to get the length of any vector, regardless
// of whether it is null or not (the field is not set).
template <typename T>
static inline size_t VectorLength(const Vector<T>* v) {
return v ? v->size() : 0;
}
} // namespace flatbuffers
#endif // FLATBUFFERS_VERIFIER_H_
@@ -0,0 +1,298 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_VECTOR_DOWNWARD_H_
#define FLATBUFFERS_VECTOR_DOWNWARD_H_
#include <algorithm>
#include <cstdint>
#include "flatbuffers/base.h"
#include "flatbuffers/default_allocator.h"
#include "flatbuffers/detached_buffer.h"
namespace flatbuffers {
// This is a minimal replication of std::vector<uint8_t> functionality,
// except growing from higher to lower addresses. i.e. push_back() inserts data
// in the lowest address in the vector.
// Since this vector leaves the lower part unused, we support a "scratch-pad"
// that can be stored there for temporary data, to share the allocated space.
// Essentially, this supports 2 std::vectors in a single buffer.
template <typename SizeT = uoffset_t>
class vector_downward {
public:
explicit vector_downward(size_t initial_size, Allocator* allocator,
bool own_allocator, size_t buffer_minalign,
const SizeT max_size = FLATBUFFERS_MAX_BUFFER_SIZE)
: allocator_(allocator),
own_allocator_(own_allocator),
initial_size_(initial_size),
max_size_(max_size),
buffer_minalign_(buffer_minalign),
reserved_(0),
size_(0),
buf_(nullptr),
cur_(nullptr),
scratch_(nullptr) {}
vector_downward(vector_downward&& other) noexcept
// clang-format on
: allocator_(other.allocator_),
own_allocator_(other.own_allocator_),
initial_size_(other.initial_size_),
max_size_(other.max_size_),
buffer_minalign_(other.buffer_minalign_),
reserved_(other.reserved_),
size_(other.size_),
buf_(other.buf_),
cur_(other.cur_),
scratch_(other.scratch_) {
// No change in other.allocator_
// No change in other.initial_size_
// No change in other.buffer_minalign_
other.own_allocator_ = false;
other.reserved_ = 0;
other.buf_ = nullptr;
other.cur_ = nullptr;
other.scratch_ = nullptr;
}
vector_downward& operator=(vector_downward&& other) noexcept {
// Move construct a temporary and swap idiom
vector_downward temp(std::move(other));
swap(temp);
return *this;
}
~vector_downward() {
clear_buffer();
clear_allocator();
}
void reset() {
clear_buffer();
clear();
}
void clear() {
if (buf_) {
cur_ = buf_ + reserved_;
} else {
reserved_ = 0;
cur_ = nullptr;
}
size_ = 0;
clear_scratch();
}
void clear_scratch() { scratch_ = buf_; }
void clear_allocator() {
if (own_allocator_ && allocator_) {
delete allocator_;
}
allocator_ = nullptr;
own_allocator_ = false;
}
void clear_buffer() {
if (buf_) Deallocate(allocator_, buf_, reserved_);
buf_ = nullptr;
}
// Relinquish the pointer to the caller.
uint8_t* release_raw(size_t& allocated_bytes, size_t& offset) {
auto* buf = buf_;
allocated_bytes = reserved_;
offset = vector_downward::offset();
// release_raw only relinquishes the buffer ownership.
// Does not deallocate or reset the allocator. Destructor will do that.
buf_ = nullptr;
clear();
return buf;
}
// Relinquish the pointer to the caller.
DetachedBuffer release() {
// allocator ownership (if any) is transferred to DetachedBuffer.
DetachedBuffer fb(allocator_, own_allocator_, buf_, reserved_, cur_,
size());
if (own_allocator_) {
allocator_ = nullptr;
own_allocator_ = false;
}
buf_ = nullptr;
clear();
return fb;
}
size_t ensure_space(size_t len) {
FLATBUFFERS_ASSERT(cur_ >= scratch_ && scratch_ >= buf_);
// If the length is larger than the unused part of the buffer, we need to
// grow.
if (len > unused_buffer_size()) {
reallocate(len);
}
FLATBUFFERS_ASSERT(size() < max_size_);
return len;
}
inline uint8_t* make_space(size_t len) {
if (len) {
ensure_space(len);
cur_ -= len;
size_ += static_cast<SizeT>(len);
}
return cur_;
}
// Returns nullptr if using the DefaultAllocator.
Allocator* get_custom_allocator() { return allocator_; }
// The current offset into the buffer.
size_t offset() const { return cur_ - buf_; }
// The total size of the vector (both the buffer and scratch parts).
inline SizeT size() const { return size_; }
// The size of the buffer part of the vector that is currently unused.
SizeT unused_buffer_size() const {
return static_cast<SizeT>(cur_ - scratch_);
}
// The size of the scratch part of the vector.
SizeT scratch_size() const { return static_cast<SizeT>(scratch_ - buf_); }
size_t capacity() const { return reserved_; }
uint8_t* data() const {
FLATBUFFERS_ASSERT(cur_);
return cur_;
}
uint8_t* scratch_data() const {
FLATBUFFERS_ASSERT(buf_);
return buf_;
}
uint8_t* scratch_end() const {
FLATBUFFERS_ASSERT(scratch_);
return scratch_;
}
uint8_t* data_at(size_t offset) const { return buf_ + reserved_ - offset; }
void push(const uint8_t* bytes, size_t num) {
if (num > 0) {
memcpy(make_space(num), bytes, num);
}
}
// Specialized version of push() that avoids memcpy call for small data.
template <typename T>
void push_small(const T& little_endian_t) {
make_space(sizeof(T));
*reinterpret_cast<T*>(cur_) = little_endian_t;
}
template <typename T>
void scratch_push_small(const T& t) {
ensure_space(sizeof(T));
*reinterpret_cast<T*>(scratch_) = t;
scratch_ += sizeof(T);
}
// fill() is most frequently called with small byte counts (<= 4),
// which is why we're using loops rather than calling memset.
void fill(size_t zero_pad_bytes) {
make_space(zero_pad_bytes);
for (size_t i = 0; i < zero_pad_bytes; i++) cur_[i] = 0;
}
// Version for when we know the size is larger.
// Precondition: zero_pad_bytes > 0
void fill_big(size_t zero_pad_bytes) {
memset(make_space(zero_pad_bytes), 0, zero_pad_bytes);
}
void pop(size_t bytes_to_remove) {
cur_ += bytes_to_remove;
size_ -= static_cast<SizeT>(bytes_to_remove);
}
void scratch_pop(size_t bytes_to_remove) { scratch_ -= bytes_to_remove; }
void swap(vector_downward& other) {
using std::swap;
swap(allocator_, other.allocator_);
swap(own_allocator_, other.own_allocator_);
swap(initial_size_, other.initial_size_);
swap(buffer_minalign_, other.buffer_minalign_);
swap(reserved_, other.reserved_);
swap(size_, other.size_);
swap(max_size_, other.max_size_);
swap(buf_, other.buf_);
swap(cur_, other.cur_);
swap(scratch_, other.scratch_);
}
void swap_allocator(vector_downward& other) {
using std::swap;
swap(allocator_, other.allocator_);
swap(own_allocator_, other.own_allocator_);
}
private:
// You shouldn't really be copying instances of this class.
FLATBUFFERS_DELETE_FUNC(vector_downward(const vector_downward&));
FLATBUFFERS_DELETE_FUNC(vector_downward& operator=(const vector_downward&));
Allocator* allocator_;
bool own_allocator_;
size_t initial_size_;
// The maximum size the vector can be.
SizeT max_size_;
size_t buffer_minalign_;
size_t reserved_;
SizeT size_;
uint8_t* buf_;
uint8_t* cur_; // Points at location between empty (below) and used (above).
uint8_t* scratch_; // Points to the end of the scratchpad in use.
void reallocate(size_t len) {
auto old_reserved = reserved_;
auto old_size = size();
auto old_scratch_size = scratch_size();
reserved_ +=
(std::max)(len, old_reserved ? old_reserved / 2 : initial_size_);
reserved_ = (reserved_ + buffer_minalign_ - 1) & ~(buffer_minalign_ - 1);
if (buf_) {
buf_ = ReallocateDownward(allocator_, buf_, old_reserved, reserved_,
old_size, old_scratch_size);
} else {
buf_ = Allocate(allocator_, reserved_);
}
cur_ = buf_ + reserved_ - old_size;
scratch_ = buf_ + old_scratch_size;
}
};
} // namespace flatbuffers
#endif // FLATBUFFERS_VECTOR_DOWNWARD_H_
+370
View File
@@ -0,0 +1,370 @@
/*
* Copyright 2021 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLATBUFFERS_VERIFIER_H_
#define FLATBUFFERS_VERIFIER_H_
#include "flatbuffers/base.h"
#include "flatbuffers/vector.h"
namespace flatbuffers {
// Helper class to verify the integrity of a FlatBuffer
template <bool TrackVerifierBufferSize>
class VerifierTemplate FLATBUFFERS_FINAL_CLASS {
public:
struct Options {
// The maximum nesting of tables and vectors before we call it invalid.
uoffset_t max_depth = 64;
// The maximum number of tables we will verify before we call it invalid.
uoffset_t max_tables = 1000000;
// If true, verify all data is aligned.
bool check_alignment = true;
// If true, run verifier on nested flatbuffers
bool check_nested_flatbuffers = true;
// The maximum size of a buffer.
size_t max_size = FLATBUFFERS_MAX_BUFFER_SIZE;
// Use assertions to check for errors.
bool assert = false;
};
explicit VerifierTemplate(const uint8_t* const buf, const size_t buf_len,
const Options& opts)
: buf_(buf), size_(buf_len), opts_(opts) {
FLATBUFFERS_ASSERT(size_ < opts.max_size);
}
// Deprecated API, please construct with VerifierTemplate::Options.
VerifierTemplate(const uint8_t* const buf, const size_t buf_len,
const uoffset_t max_depth = 64,
const uoffset_t max_tables = 1000000,
const bool check_alignment = true)
: VerifierTemplate(buf, buf_len, [&] {
Options opts;
opts.max_depth = max_depth;
opts.max_tables = max_tables;
opts.check_alignment = check_alignment;
return opts;
}()) {}
// Central location where any verification failures register.
bool Check(const bool ok) const {
// clang-format off
#ifdef FLATBUFFERS_DEBUG_VERIFICATION_FAILURE
if (opts_.assert) { FLATBUFFERS_ASSERT(ok); }
#endif
// clang-format on
if (TrackVerifierBufferSize) {
if (!ok) {
upper_bound_ = 0;
}
}
return ok;
}
// Verify any range within the buffer.
bool Verify(const size_t elem, const size_t elem_len) const {
if (TrackVerifierBufferSize) {
auto upper_bound = elem + elem_len;
if (upper_bound_ < upper_bound) {
upper_bound_ = upper_bound;
}
}
return Check(elem_len < size_ && elem <= size_ - elem_len);
}
bool VerifyAlignment(const size_t elem, const size_t align) const {
return Check((elem & (align - 1)) == 0 || !opts_.check_alignment);
}
// Verify a range indicated by sizeof(T).
template <typename T>
bool Verify(const size_t elem) const {
return VerifyAlignment(elem, sizeof(T)) && Verify(elem, sizeof(T));
}
bool VerifyFromPointer(const uint8_t* const p, const size_t len) {
return Verify(static_cast<size_t>(p - buf_), len);
}
// Verify relative to a known-good base pointer.
bool VerifyFieldStruct(const uint8_t* const base, const voffset_t elem_off,
const size_t elem_len, const size_t align) const {
const auto f = static_cast<size_t>(base - buf_) + elem_off;
return VerifyAlignment(f, align) && Verify(f, elem_len);
}
template <typename T>
bool VerifyField(const uint8_t* const base, const voffset_t elem_off,
const size_t align) const {
const auto f = static_cast<size_t>(base - buf_) + elem_off;
return VerifyAlignment(f, align) && Verify(f, sizeof(T));
}
// Verify a pointer (may be NULL) of a table type.
template <typename T>
bool VerifyTable(const T* const table) {
return !table || table->Verify(*this);
}
// Verify a pointer (may be NULL) of any vector type.
template <int&..., typename T, typename LenT>
bool VerifyVector(const Vector<T, LenT>* const vec) const {
return !vec || VerifyVectorOrString<LenT>(
reinterpret_cast<const uint8_t*>(vec), sizeof(T));
}
// Verify a pointer (may be NULL) of a vector to struct.
template <int&..., typename T, typename LenT>
bool VerifyVector(const Vector<const T*, LenT>* const vec) const {
return VerifyVector(reinterpret_cast<const Vector<T, LenT>*>(vec));
}
// Verify a pointer (may be NULL) to string.
bool VerifyString(const String* const str) const {
size_t end;
return !str || (VerifyVectorOrString<uoffset_t>(
reinterpret_cast<const uint8_t*>(str), 1, &end) &&
Verify(end, 1) && // Must have terminator
Check(buf_[end] == '\0')); // Terminating byte must be 0.
}
// Common code between vectors and strings.
template <typename LenT = uoffset_t>
bool VerifyVectorOrString(const uint8_t* const vec, const size_t elem_size,
size_t* const end = nullptr) const {
const auto vec_offset = static_cast<size_t>(vec - buf_);
// Check we can read the size field.
if (!Verify<LenT>(vec_offset)) return false;
// Check the whole array. If this is a string, the byte past the array must
// be 0.
const LenT size = ReadScalar<LenT>(vec);
const auto max_elems = opts_.max_size / elem_size;
if (!Check(size < max_elems))
return false; // Protect against byte_size overflowing.
const auto byte_size = sizeof(LenT) + elem_size * size;
if (end) *end = vec_offset + byte_size;
return Verify(vec_offset, byte_size);
}
// Special case for string contents, after the above has been called.
bool VerifyVectorOfStrings(const Vector<Offset<String>>* const vec) const {
if (vec) {
for (uoffset_t i = 0; i < vec->size(); i++) {
if (!VerifyString(vec->Get(i))) return false;
}
}
return true;
}
// Special case for table contents, after the above has been called.
template <typename T>
bool VerifyVectorOfTables(const Vector<Offset<T>>* const vec) {
if (vec) {
for (uoffset_t i = 0; i < vec->size(); i++) {
if (!vec->Get(i)->Verify(*this)) return false;
}
}
return true;
}
FLATBUFFERS_SUPPRESS_UBSAN("unsigned-integer-overflow")
bool VerifyTableStart(const uint8_t* const table) {
// Check the vtable offset.
const auto tableo = static_cast<size_t>(table - buf_);
if (!Verify<soffset_t>(tableo)) return false;
// This offset may be signed, but doing the subtraction unsigned always
// gives the result we want.
const auto vtableo =
tableo - static_cast<size_t>(ReadScalar<soffset_t>(table));
// Check the vtable size field, then check vtable fits in its entirety.
if (!(VerifyComplexity() && Verify<voffset_t>(vtableo) &&
VerifyAlignment(ReadScalar<voffset_t>(buf_ + vtableo),
sizeof(voffset_t))))
return false;
const auto vsize = ReadScalar<voffset_t>(buf_ + vtableo);
return Check((vsize & 1) == 0) && Verify(vtableo, vsize);
}
template <typename T>
bool VerifyBufferFromStart(const char* const identifier, const size_t start) {
// Buffers have to be of some size to be valid. The reason it is a runtime
// check instead of static_assert, is that nested flatbuffers go through
// this call and their size is determined at runtime.
if (!Check(size_ >= FLATBUFFERS_MIN_BUFFER_SIZE)) return false;
// If an identifier is provided, check that we have a buffer
if (identifier && !Check((size_ >= 2 * sizeof(flatbuffers::uoffset_t) &&
BufferHasIdentifier(buf_ + start, identifier)))) {
return false;
}
// Call T::Verify, which must be in the generated code for this type.
const auto o = VerifyOffset<uoffset_t>(start);
if (!Check(o != 0)) return false;
if (!(reinterpret_cast<const T*>(buf_ + start + o)->Verify(*this))) {
return false;
}
if (TrackVerifierBufferSize) {
if (GetComputedSize() == 0) return false;
}
return true;
}
template <typename T, int&..., typename SizeT>
bool VerifyNestedFlatBuffer(const Vector<uint8_t, SizeT>* const buf,
const char* const identifier) {
// Caller opted out of this.
if (!opts_.check_nested_flatbuffers) return true;
// An empty buffer is OK as it indicates not present.
if (!buf) return true;
// If there is a nested buffer, it must be greater than the min size.
if (!Check(buf->size() >= FLATBUFFERS_MIN_BUFFER_SIZE)) return false;
VerifierTemplate<TrackVerifierBufferSize> nested_verifier(
buf->data(), buf->size(), opts_);
return nested_verifier.VerifyBuffer<T>(identifier);
}
// Verify this whole buffer, starting with root type T.
template <typename T>
bool VerifyBuffer() {
return VerifyBuffer<T>(nullptr);
}
template <typename T>
bool VerifyBuffer(const char* const identifier) {
return VerifyBufferFromStart<T>(identifier, 0);
}
template <typename T, typename SizeT = uoffset_t>
bool VerifySizePrefixedBuffer(const char* const identifier) {
return Verify<SizeT>(0U) &&
// Ensure the prefixed size is within the bounds of the provided
// length.
Check(ReadScalar<SizeT>(buf_) + sizeof(SizeT) <= size_) &&
VerifyBufferFromStart<T>(identifier, sizeof(SizeT));
}
template <typename OffsetT = uoffset_t, typename SOffsetT = soffset_t>
size_t VerifyOffset(const size_t start) const {
if (!Verify<OffsetT>(start)) return 0;
const auto o = ReadScalar<OffsetT>(buf_ + start);
// May not point to itself.
if (!Check(o != 0)) return 0;
// Can't wrap around larger than the max size.
if (!Check(static_cast<SOffsetT>(o) >= 0)) return 0;
// Must be inside the buffer to create a pointer from it (pointer outside
// buffer is UB).
if (!Verify(start + o, 1)) return 0;
return o;
}
template <typename OffsetT = uoffset_t>
size_t VerifyOffset(const uint8_t* const base, const voffset_t start) const {
return VerifyOffset<OffsetT>(static_cast<size_t>(base - buf_) + start);
}
// Called at the start of a table to increase counters measuring data
// structure depth and amount, and possibly bails out with false if limits set
// by the constructor have been hit. Needs to be balanced with EndTable().
bool VerifyComplexity() {
depth_++;
num_tables_++;
return Check(depth_ <= opts_.max_depth && num_tables_ <= opts_.max_tables);
}
// Called at the end of a table to pop the depth count.
bool EndTable() {
depth_--;
return true;
}
// Returns the message size in bytes.
//
// This should only be called after first calling VerifyBuffer or
// VerifySizePrefixedBuffer.
//
// This method should only be called for VerifierTemplate instances
// where the TrackVerifierBufferSize template parameter is true,
// i.e. for SizeVerifier. For instances where TrackVerifierBufferSize
// is false, this fails at runtime or returns zero.
size_t GetComputedSize() const {
if (TrackVerifierBufferSize) {
uintptr_t size = upper_bound_;
// Align the size to uoffset_t
size = (size - 1 + sizeof(uoffset_t)) & ~(sizeof(uoffset_t) - 1);
return (size > size_) ? 0 : size;
}
// Must use SizeVerifier, or (deprecated) turn on
// FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE, for this to work.
(void)upper_bound_;
FLATBUFFERS_ASSERT(false);
return 0;
}
std::vector<uint8_t>* GetFlexReuseTracker() { return flex_reuse_tracker_; }
void SetFlexReuseTracker(std::vector<uint8_t>* const rt) {
flex_reuse_tracker_ = rt;
}
private:
const uint8_t* buf_;
const size_t size_;
const Options opts_;
mutable size_t upper_bound_ = 0;
uoffset_t depth_ = 0;
uoffset_t num_tables_ = 0;
std::vector<uint8_t>* flex_reuse_tracker_ = nullptr;
};
// Specialization for 64-bit offsets.
template <>
template <>
inline size_t VerifierTemplate<false>::VerifyOffset<uoffset64_t>(
const size_t start) const {
return VerifyOffset<uoffset64_t, soffset64_t>(start);
}
template <>
template <>
inline size_t VerifierTemplate<true>::VerifyOffset<uoffset64_t>(
const size_t start) const {
return VerifyOffset<uoffset64_t, soffset64_t>(start);
}
// Instance of VerifierTemplate that supports GetComputedSize().
using SizeVerifier = VerifierTemplate</*TrackVerifierBufferSize = */ true>;
// The FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE build configuration macro is
// deprecated, and should not be defined, since it is easy to misuse in ways
// that result in ODR violations. Rather than using Verifier and defining
// FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE, please use SizeVerifier instead.
#ifdef FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE // Deprecated, see above.
using Verifier = SizeVerifier;
#else
// Instance of VerifierTemplate that is slightly faster, but does not
// support GetComputedSize().
using Verifier = VerifierTemplate</*TrackVerifierBufferSize = */ false>;
#endif
} // namespace flatbuffers
#endif // FLATBUFFERS_VERIFIER_H_
+6 -14
View File
@@ -2,19 +2,9 @@
// File: vk_platform.h
//
/*
** Copyright (c) 2014-2017 The Khronos Group Inc.
** Copyright 2014-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
@@ -52,7 +42,7 @@ extern "C"
#define VKAPI_CALL __stdcall
#define VKAPI_PTR VKAPI_CALL
#elif defined(__ANDROID__) && defined(__ARM_ARCH) && __ARM_ARCH < 7
#error "Vulkan isn't supported for the 'armeabi' NDK ABI"
#error "Vulkan is not supported for the 'armeabi' NDK ABI"
#elif defined(__ANDROID__) && defined(__ARM_ARCH) && __ARM_ARCH >= 7 && defined(__ARM_32BIT_STATE)
// On Android 32-bit ARM targets, Vulkan functions use the "hardfloat"
// calling convention, i.e. float parameters are passed in registers. This
@@ -68,7 +58,9 @@ extern "C"
#define VKAPI_PTR
#endif
#include <stddef.h>
#if !defined(VK_NO_STDDEF_H)
#include <stddef.h>
#endif // !defined(VK_NO_STDDEF_H)
#if !defined(VK_NO_STDINT_H)
#if defined(_MSC_VER) && (_MSC_VER < 1600)
+34 -18
View File
@@ -2,19 +2,9 @@
#define VULKAN_H_ 1
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
#include "vk_platform.h"
@@ -38,20 +28,16 @@
#include "vulkan_macos.h"
#endif
#ifdef VK_USE_PLATFORM_MIR_KHR
#include <mir_toolkit/client_types.h>
#include "vulkan_mir.h"
#ifdef VK_USE_PLATFORM_METAL_EXT
#include "vulkan_metal.h"
#endif
#ifdef VK_USE_PLATFORM_VI_NN
#include "vulkan_vi.h"
#endif
#ifdef VK_USE_PLATFORM_WAYLAND_KHR
#include <wayland-client.h>
#include "vulkan_wayland.h"
#endif
@@ -74,10 +60,40 @@
#endif
#ifdef VK_USE_PLATFORM_DIRECTFB_EXT
#include <directfb.h>
#include "vulkan_directfb.h"
#endif
#ifdef VK_USE_PLATFORM_XLIB_XRANDR_EXT
#include <X11/Xlib.h>
#include <X11/extensions/Xrandr.h>
#include "vulkan_xlib_xrandr.h"
#endif
#ifdef VK_USE_PLATFORM_GGP
#include <ggp_c/vulkan_types.h>
#include "vulkan_ggp.h"
#endif
#ifdef VK_USE_PLATFORM_SCREEN_QNX
#include <screen/screen.h>
#include "vulkan_screen.h"
#endif
#ifdef VK_USE_PLATFORM_SCI
#include <nvscisync.h>
#include <nvscibuf.h>
#include "vulkan_sci.h"
#endif
#ifdef VK_ENABLE_BETA_EXTENSIONS
#include "vulkan_beta.h"
#endif
#endif // VULKAN_H_
+22 -23
View File
@@ -1,24 +1,10 @@
#ifndef VULKAN_ANDROID_H_
#define VULKAN_ANDROID_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,14 +13,17 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_KHR_android_surface 1
struct ANativeWindow;
#define VK_KHR_ANDROID_SURFACE_SPEC_VERSION 6
#define VK_KHR_ANDROID_SURFACE_EXTENSION_NAME "VK_KHR_android_surface"
typedef VkFlags VkAndroidSurfaceCreateFlagsKHR;
typedef struct VkAndroidSurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -42,7 +31,6 @@ typedef struct VkAndroidSurfaceCreateInfoKHR {
struct ANativeWindow* window;
} VkAndroidSurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateAndroidSurfaceKHR)(VkInstance instance, const VkAndroidSurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
@@ -53,12 +41,11 @@ VKAPI_ATTR VkResult VKAPI_CALL vkCreateAndroidSurfaceKHR(
VkSurfaceKHR* pSurface);
#endif
#define VK_ANDROID_external_memory_android_hardware_buffer 1
struct AHardwareBuffer;
#define VK_ANDROID_EXTERNAL_MEMORY_ANDROID_HARDWARE_BUFFER_SPEC_VERSION 3
#define VK_ANDROID_EXTERNAL_MEMORY_ANDROID_HARDWARE_BUFFER_SPEC_VERSION 5
#define VK_ANDROID_EXTERNAL_MEMORY_ANDROID_HARDWARE_BUFFER_EXTENSION_NAME "VK_ANDROID_external_memory_android_hardware_buffer"
typedef struct VkAndroidHardwareBufferUsageANDROID {
VkStructureType sType;
void* pNext;
@@ -103,6 +90,18 @@ typedef struct VkExternalFormatANDROID {
uint64_t externalFormat;
} VkExternalFormatANDROID;
typedef struct VkAndroidHardwareBufferFormatProperties2ANDROID {
VkStructureType sType;
void* pNext;
VkFormat format;
uint64_t externalFormat;
VkFormatFeatureFlags2 formatFeatures;
VkComponentMapping samplerYcbcrConversionComponents;
VkSamplerYcbcrModelConversion suggestedYcbcrModel;
VkSamplerYcbcrRange suggestedYcbcrRange;
VkChromaLocation suggestedXChromaOffset;
VkChromaLocation suggestedYChromaOffset;
} VkAndroidHardwareBufferFormatProperties2ANDROID;
typedef VkResult (VKAPI_PTR *PFN_vkGetAndroidHardwareBufferPropertiesANDROID)(VkDevice device, const struct AHardwareBuffer* buffer, VkAndroidHardwareBufferPropertiesANDROID* pProperties);
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryAndroidHardwareBufferANDROID)(VkDevice device, const VkMemoryGetAndroidHardwareBufferInfoANDROID* pInfo, struct AHardwareBuffer** pBuffer);
+492
View File
@@ -0,0 +1,492 @@
#ifndef VULKAN_BETA_H_
#define VULKAN_BETA_H_ 1
/*
** Copyright 2015-2023 The Khronos Group Inc.
**
** SPDX-License-Identifier: Apache-2.0
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_KHR_portability_subset 1
#define VK_KHR_PORTABILITY_SUBSET_SPEC_VERSION 1
#define VK_KHR_PORTABILITY_SUBSET_EXTENSION_NAME "VK_KHR_portability_subset"
typedef struct VkPhysicalDevicePortabilitySubsetFeaturesKHR {
VkStructureType sType;
void* pNext;
VkBool32 constantAlphaColorBlendFactors;
VkBool32 events;
VkBool32 imageViewFormatReinterpretation;
VkBool32 imageViewFormatSwizzle;
VkBool32 imageView2DOn3DImage;
VkBool32 multisampleArrayImage;
VkBool32 mutableComparisonSamplers;
VkBool32 pointPolygons;
VkBool32 samplerMipLodBias;
VkBool32 separateStencilMaskRef;
VkBool32 shaderSampleRateInterpolationFunctions;
VkBool32 tessellationIsolines;
VkBool32 tessellationPointMode;
VkBool32 triangleFans;
VkBool32 vertexAttributeAccessBeyondStride;
} VkPhysicalDevicePortabilitySubsetFeaturesKHR;
typedef struct VkPhysicalDevicePortabilitySubsetPropertiesKHR {
VkStructureType sType;
void* pNext;
uint32_t minVertexInputBindingStrideAlignment;
} VkPhysicalDevicePortabilitySubsetPropertiesKHR;
#define VK_KHR_video_encode_queue 1
#define VK_KHR_VIDEO_ENCODE_QUEUE_SPEC_VERSION 8
#define VK_KHR_VIDEO_ENCODE_QUEUE_EXTENSION_NAME "VK_KHR_video_encode_queue"
typedef enum VkVideoEncodeTuningModeKHR {
VK_VIDEO_ENCODE_TUNING_MODE_DEFAULT_KHR = 0,
VK_VIDEO_ENCODE_TUNING_MODE_HIGH_QUALITY_KHR = 1,
VK_VIDEO_ENCODE_TUNING_MODE_LOW_LATENCY_KHR = 2,
VK_VIDEO_ENCODE_TUNING_MODE_ULTRA_LOW_LATENCY_KHR = 3,
VK_VIDEO_ENCODE_TUNING_MODE_LOSSLESS_KHR = 4,
VK_VIDEO_ENCODE_TUNING_MODE_MAX_ENUM_KHR = 0x7FFFFFFF
} VkVideoEncodeTuningModeKHR;
typedef VkFlags VkVideoEncodeFlagsKHR;
typedef enum VkVideoEncodeCapabilityFlagBitsKHR {
VK_VIDEO_ENCODE_CAPABILITY_PRECEDING_EXTERNALLY_ENCODED_BYTES_BIT_KHR = 0x00000001,
VK_VIDEO_ENCODE_CAPABILITY_FLAG_BITS_MAX_ENUM_KHR = 0x7FFFFFFF
} VkVideoEncodeCapabilityFlagBitsKHR;
typedef VkFlags VkVideoEncodeCapabilityFlagsKHR;
typedef enum VkVideoEncodeRateControlModeFlagBitsKHR {
VK_VIDEO_ENCODE_RATE_CONTROL_MODE_DEFAULT_KHR = 0,
VK_VIDEO_ENCODE_RATE_CONTROL_MODE_DISABLED_BIT_KHR = 0x00000001,
VK_VIDEO_ENCODE_RATE_CONTROL_MODE_CBR_BIT_KHR = 0x00000002,
VK_VIDEO_ENCODE_RATE_CONTROL_MODE_VBR_BIT_KHR = 0x00000004,
VK_VIDEO_ENCODE_RATE_CONTROL_MODE_FLAG_BITS_MAX_ENUM_KHR = 0x7FFFFFFF
} VkVideoEncodeRateControlModeFlagBitsKHR;
typedef VkFlags VkVideoEncodeRateControlModeFlagsKHR;
typedef enum VkVideoEncodeFeedbackFlagBitsKHR {
VK_VIDEO_ENCODE_FEEDBACK_BITSTREAM_BUFFER_OFFSET_BIT_KHR = 0x00000001,
VK_VIDEO_ENCODE_FEEDBACK_BITSTREAM_BYTES_WRITTEN_BIT_KHR = 0x00000002,
VK_VIDEO_ENCODE_FEEDBACK_FLAG_BITS_MAX_ENUM_KHR = 0x7FFFFFFF
} VkVideoEncodeFeedbackFlagBitsKHR;
typedef VkFlags VkVideoEncodeFeedbackFlagsKHR;
typedef enum VkVideoEncodeUsageFlagBitsKHR {
VK_VIDEO_ENCODE_USAGE_DEFAULT_KHR = 0,
VK_VIDEO_ENCODE_USAGE_TRANSCODING_BIT_KHR = 0x00000001,
VK_VIDEO_ENCODE_USAGE_STREAMING_BIT_KHR = 0x00000002,
VK_VIDEO_ENCODE_USAGE_RECORDING_BIT_KHR = 0x00000004,
VK_VIDEO_ENCODE_USAGE_CONFERENCING_BIT_KHR = 0x00000008,
VK_VIDEO_ENCODE_USAGE_FLAG_BITS_MAX_ENUM_KHR = 0x7FFFFFFF
} VkVideoEncodeUsageFlagBitsKHR;
typedef VkFlags VkVideoEncodeUsageFlagsKHR;
typedef enum VkVideoEncodeContentFlagBitsKHR {
VK_VIDEO_ENCODE_CONTENT_DEFAULT_KHR = 0,
VK_VIDEO_ENCODE_CONTENT_CAMERA_BIT_KHR = 0x00000001,
VK_VIDEO_ENCODE_CONTENT_DESKTOP_BIT_KHR = 0x00000002,
VK_VIDEO_ENCODE_CONTENT_RENDERED_BIT_KHR = 0x00000004,
VK_VIDEO_ENCODE_CONTENT_FLAG_BITS_MAX_ENUM_KHR = 0x7FFFFFFF
} VkVideoEncodeContentFlagBitsKHR;
typedef VkFlags VkVideoEncodeContentFlagsKHR;
typedef VkFlags VkVideoEncodeRateControlFlagsKHR;
typedef struct VkVideoEncodeInfoKHR {
VkStructureType sType;
const void* pNext;
VkVideoEncodeFlagsKHR flags;
uint32_t qualityLevel;
VkBuffer dstBuffer;
VkDeviceSize dstBufferOffset;
VkDeviceSize dstBufferRange;
VkVideoPictureResourceInfoKHR srcPictureResource;
const VkVideoReferenceSlotInfoKHR* pSetupReferenceSlot;
uint32_t referenceSlotCount;
const VkVideoReferenceSlotInfoKHR* pReferenceSlots;
uint32_t precedingExternallyEncodedBytes;
} VkVideoEncodeInfoKHR;
typedef struct VkVideoEncodeCapabilitiesKHR {
VkStructureType sType;
void* pNext;
VkVideoEncodeCapabilityFlagsKHR flags;
VkVideoEncodeRateControlModeFlagsKHR rateControlModes;
uint32_t maxRateControlLayers;
uint32_t maxQualityLevels;
VkExtent2D inputImageDataFillAlignment;
VkVideoEncodeFeedbackFlagsKHR supportedEncodeFeedbackFlags;
} VkVideoEncodeCapabilitiesKHR;
typedef struct VkQueryPoolVideoEncodeFeedbackCreateInfoKHR {
VkStructureType sType;
const void* pNext;
VkVideoEncodeFeedbackFlagsKHR encodeFeedbackFlags;
} VkQueryPoolVideoEncodeFeedbackCreateInfoKHR;
typedef struct VkVideoEncodeUsageInfoKHR {
VkStructureType sType;
const void* pNext;
VkVideoEncodeUsageFlagsKHR videoUsageHints;
VkVideoEncodeContentFlagsKHR videoContentHints;
VkVideoEncodeTuningModeKHR tuningMode;
} VkVideoEncodeUsageInfoKHR;
typedef struct VkVideoEncodeRateControlLayerInfoKHR {
VkStructureType sType;
const void* pNext;
uint64_t averageBitrate;
uint64_t maxBitrate;
uint32_t frameRateNumerator;
uint32_t frameRateDenominator;
uint32_t virtualBufferSizeInMs;
uint32_t initialVirtualBufferSizeInMs;
} VkVideoEncodeRateControlLayerInfoKHR;
typedef struct VkVideoEncodeRateControlInfoKHR {
VkStructureType sType;
const void* pNext;
VkVideoEncodeRateControlFlagsKHR flags;
VkVideoEncodeRateControlModeFlagBitsKHR rateControlMode;
uint32_t layerCount;
const VkVideoEncodeRateControlLayerInfoKHR* pLayers;
} VkVideoEncodeRateControlInfoKHR;
typedef void (VKAPI_PTR *PFN_vkCmdEncodeVideoKHR)(VkCommandBuffer commandBuffer, const VkVideoEncodeInfoKHR* pEncodeInfo);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR void VKAPI_CALL vkCmdEncodeVideoKHR(
VkCommandBuffer commandBuffer,
const VkVideoEncodeInfoKHR* pEncodeInfo);
#endif
#define VK_EXT_video_encode_h264 1
#include "vk_video/vulkan_video_codec_h264std.h"
#include "vk_video/vulkan_video_codec_h264std_encode.h"
#define VK_EXT_VIDEO_ENCODE_H264_SPEC_VERSION 10
#define VK_EXT_VIDEO_ENCODE_H264_EXTENSION_NAME "VK_EXT_video_encode_h264"
typedef enum VkVideoEncodeH264RateControlStructureEXT {
VK_VIDEO_ENCODE_H264_RATE_CONTROL_STRUCTURE_UNKNOWN_EXT = 0,
VK_VIDEO_ENCODE_H264_RATE_CONTROL_STRUCTURE_FLAT_EXT = 1,
VK_VIDEO_ENCODE_H264_RATE_CONTROL_STRUCTURE_DYADIC_EXT = 2,
VK_VIDEO_ENCODE_H264_RATE_CONTROL_STRUCTURE_MAX_ENUM_EXT = 0x7FFFFFFF
} VkVideoEncodeH264RateControlStructureEXT;
typedef enum VkVideoEncodeH264CapabilityFlagBitsEXT {
VK_VIDEO_ENCODE_H264_CAPABILITY_DIRECT_8X8_INFERENCE_ENABLED_BIT_EXT = 0x00000001,
VK_VIDEO_ENCODE_H264_CAPABILITY_DIRECT_8X8_INFERENCE_DISABLED_BIT_EXT = 0x00000002,
VK_VIDEO_ENCODE_H264_CAPABILITY_SEPARATE_COLOUR_PLANE_BIT_EXT = 0x00000004,
VK_VIDEO_ENCODE_H264_CAPABILITY_QPPRIME_Y_ZERO_TRANSFORM_BYPASS_BIT_EXT = 0x00000008,
VK_VIDEO_ENCODE_H264_CAPABILITY_SCALING_LISTS_BIT_EXT = 0x00000010,
VK_VIDEO_ENCODE_H264_CAPABILITY_HRD_COMPLIANCE_BIT_EXT = 0x00000020,
VK_VIDEO_ENCODE_H264_CAPABILITY_CHROMA_QP_OFFSET_BIT_EXT = 0x00000040,
VK_VIDEO_ENCODE_H264_CAPABILITY_SECOND_CHROMA_QP_OFFSET_BIT_EXT = 0x00000080,
VK_VIDEO_ENCODE_H264_CAPABILITY_PIC_INIT_QP_MINUS26_BIT_EXT = 0x00000100,
VK_VIDEO_ENCODE_H264_CAPABILITY_WEIGHTED_PRED_BIT_EXT = 0x00000200,
VK_VIDEO_ENCODE_H264_CAPABILITY_WEIGHTED_BIPRED_EXPLICIT_BIT_EXT = 0x00000400,
VK_VIDEO_ENCODE_H264_CAPABILITY_WEIGHTED_BIPRED_IMPLICIT_BIT_EXT = 0x00000800,
VK_VIDEO_ENCODE_H264_CAPABILITY_WEIGHTED_PRED_NO_TABLE_BIT_EXT = 0x00001000,
VK_VIDEO_ENCODE_H264_CAPABILITY_TRANSFORM_8X8_BIT_EXT = 0x00002000,
VK_VIDEO_ENCODE_H264_CAPABILITY_CABAC_BIT_EXT = 0x00004000,
VK_VIDEO_ENCODE_H264_CAPABILITY_CAVLC_BIT_EXT = 0x00008000,
VK_VIDEO_ENCODE_H264_CAPABILITY_DEBLOCKING_FILTER_DISABLED_BIT_EXT = 0x00010000,
VK_VIDEO_ENCODE_H264_CAPABILITY_DEBLOCKING_FILTER_ENABLED_BIT_EXT = 0x00020000,
VK_VIDEO_ENCODE_H264_CAPABILITY_DEBLOCKING_FILTER_PARTIAL_BIT_EXT = 0x00040000,
VK_VIDEO_ENCODE_H264_CAPABILITY_DISABLE_DIRECT_SPATIAL_MV_PRED_BIT_EXT = 0x00080000,
VK_VIDEO_ENCODE_H264_CAPABILITY_MULTIPLE_SLICE_PER_FRAME_BIT_EXT = 0x00100000,
VK_VIDEO_ENCODE_H264_CAPABILITY_SLICE_MB_COUNT_BIT_EXT = 0x00200000,
VK_VIDEO_ENCODE_H264_CAPABILITY_ROW_UNALIGNED_SLICE_BIT_EXT = 0x00400000,
VK_VIDEO_ENCODE_H264_CAPABILITY_DIFFERENT_SLICE_TYPE_BIT_EXT = 0x00800000,
VK_VIDEO_ENCODE_H264_CAPABILITY_B_FRAME_IN_L1_LIST_BIT_EXT = 0x01000000,
VK_VIDEO_ENCODE_H264_CAPABILITY_DIFFERENT_REFERENCE_FINAL_LISTS_BIT_EXT = 0x02000000,
VK_VIDEO_ENCODE_H264_CAPABILITY_FLAG_BITS_MAX_ENUM_EXT = 0x7FFFFFFF
} VkVideoEncodeH264CapabilityFlagBitsEXT;
typedef VkFlags VkVideoEncodeH264CapabilityFlagsEXT;
typedef struct VkVideoEncodeH264CapabilitiesEXT {
VkStructureType sType;
void* pNext;
VkVideoEncodeH264CapabilityFlagsEXT flags;
uint32_t maxPPictureL0ReferenceCount;
uint32_t maxBPictureL0ReferenceCount;
uint32_t maxL1ReferenceCount;
VkBool32 motionVectorsOverPicBoundariesFlag;
uint32_t maxBytesPerPicDenom;
uint32_t maxBitsPerMbDenom;
uint32_t log2MaxMvLengthHorizontal;
uint32_t log2MaxMvLengthVertical;
} VkVideoEncodeH264CapabilitiesEXT;
typedef struct VkVideoEncodeH264SessionParametersAddInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t stdSPSCount;
const StdVideoH264SequenceParameterSet* pStdSPSs;
uint32_t stdPPSCount;
const StdVideoH264PictureParameterSet* pStdPPSs;
} VkVideoEncodeH264SessionParametersAddInfoEXT;
typedef struct VkVideoEncodeH264SessionParametersCreateInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t maxStdSPSCount;
uint32_t maxStdPPSCount;
const VkVideoEncodeH264SessionParametersAddInfoEXT* pParametersAddInfo;
} VkVideoEncodeH264SessionParametersCreateInfoEXT;
typedef struct VkVideoEncodeH264NaluSliceInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t mbCount;
const StdVideoEncodeH264ReferenceListsInfo* pStdReferenceFinalLists;
const StdVideoEncodeH264SliceHeader* pStdSliceHeader;
} VkVideoEncodeH264NaluSliceInfoEXT;
typedef struct VkVideoEncodeH264VclFrameInfoEXT {
VkStructureType sType;
const void* pNext;
const StdVideoEncodeH264ReferenceListsInfo* pStdReferenceFinalLists;
uint32_t naluSliceEntryCount;
const VkVideoEncodeH264NaluSliceInfoEXT* pNaluSliceEntries;
const StdVideoEncodeH264PictureInfo* pStdPictureInfo;
} VkVideoEncodeH264VclFrameInfoEXT;
typedef struct VkVideoEncodeH264DpbSlotInfoEXT {
VkStructureType sType;
const void* pNext;
const StdVideoEncodeH264ReferenceInfo* pStdReferenceInfo;
} VkVideoEncodeH264DpbSlotInfoEXT;
typedef struct VkVideoEncodeH264ProfileInfoEXT {
VkStructureType sType;
const void* pNext;
StdVideoH264ProfileIdc stdProfileIdc;
} VkVideoEncodeH264ProfileInfoEXT;
typedef struct VkVideoEncodeH264RateControlInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t gopFrameCount;
uint32_t idrPeriod;
uint32_t consecutiveBFrameCount;
VkVideoEncodeH264RateControlStructureEXT rateControlStructure;
uint32_t temporalLayerCount;
} VkVideoEncodeH264RateControlInfoEXT;
typedef struct VkVideoEncodeH264QpEXT {
int32_t qpI;
int32_t qpP;
int32_t qpB;
} VkVideoEncodeH264QpEXT;
typedef struct VkVideoEncodeH264FrameSizeEXT {
uint32_t frameISize;
uint32_t framePSize;
uint32_t frameBSize;
} VkVideoEncodeH264FrameSizeEXT;
typedef struct VkVideoEncodeH264RateControlLayerInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t temporalLayerId;
VkBool32 useInitialRcQp;
VkVideoEncodeH264QpEXT initialRcQp;
VkBool32 useMinQp;
VkVideoEncodeH264QpEXT minQp;
VkBool32 useMaxQp;
VkVideoEncodeH264QpEXT maxQp;
VkBool32 useMaxFrameSize;
VkVideoEncodeH264FrameSizeEXT maxFrameSize;
} VkVideoEncodeH264RateControlLayerInfoEXT;
#define VK_EXT_video_encode_h265 1
#include "vk_video/vulkan_video_codec_h265std.h"
#include "vk_video/vulkan_video_codec_h265std_encode.h"
#define VK_EXT_VIDEO_ENCODE_H265_SPEC_VERSION 10
#define VK_EXT_VIDEO_ENCODE_H265_EXTENSION_NAME "VK_EXT_video_encode_h265"
typedef enum VkVideoEncodeH265RateControlStructureEXT {
VK_VIDEO_ENCODE_H265_RATE_CONTROL_STRUCTURE_UNKNOWN_EXT = 0,
VK_VIDEO_ENCODE_H265_RATE_CONTROL_STRUCTURE_FLAT_EXT = 1,
VK_VIDEO_ENCODE_H265_RATE_CONTROL_STRUCTURE_DYADIC_EXT = 2,
VK_VIDEO_ENCODE_H265_RATE_CONTROL_STRUCTURE_MAX_ENUM_EXT = 0x7FFFFFFF
} VkVideoEncodeH265RateControlStructureEXT;
typedef enum VkVideoEncodeH265CapabilityFlagBitsEXT {
VK_VIDEO_ENCODE_H265_CAPABILITY_SEPARATE_COLOUR_PLANE_BIT_EXT = 0x00000001,
VK_VIDEO_ENCODE_H265_CAPABILITY_SCALING_LISTS_BIT_EXT = 0x00000002,
VK_VIDEO_ENCODE_H265_CAPABILITY_SAMPLE_ADAPTIVE_OFFSET_ENABLED_BIT_EXT = 0x00000004,
VK_VIDEO_ENCODE_H265_CAPABILITY_PCM_ENABLE_BIT_EXT = 0x00000008,
VK_VIDEO_ENCODE_H265_CAPABILITY_SPS_TEMPORAL_MVP_ENABLED_BIT_EXT = 0x00000010,
VK_VIDEO_ENCODE_H265_CAPABILITY_HRD_COMPLIANCE_BIT_EXT = 0x00000020,
VK_VIDEO_ENCODE_H265_CAPABILITY_INIT_QP_MINUS26_BIT_EXT = 0x00000040,
VK_VIDEO_ENCODE_H265_CAPABILITY_LOG2_PARALLEL_MERGE_LEVEL_MINUS2_BIT_EXT = 0x00000080,
VK_VIDEO_ENCODE_H265_CAPABILITY_SIGN_DATA_HIDING_ENABLED_BIT_EXT = 0x00000100,
VK_VIDEO_ENCODE_H265_CAPABILITY_TRANSFORM_SKIP_ENABLED_BIT_EXT = 0x00000200,
VK_VIDEO_ENCODE_H265_CAPABILITY_TRANSFORM_SKIP_DISABLED_BIT_EXT = 0x00000400,
VK_VIDEO_ENCODE_H265_CAPABILITY_PPS_SLICE_CHROMA_QP_OFFSETS_PRESENT_BIT_EXT = 0x00000800,
VK_VIDEO_ENCODE_H265_CAPABILITY_WEIGHTED_PRED_BIT_EXT = 0x00001000,
VK_VIDEO_ENCODE_H265_CAPABILITY_WEIGHTED_BIPRED_BIT_EXT = 0x00002000,
VK_VIDEO_ENCODE_H265_CAPABILITY_WEIGHTED_PRED_NO_TABLE_BIT_EXT = 0x00004000,
VK_VIDEO_ENCODE_H265_CAPABILITY_TRANSQUANT_BYPASS_ENABLED_BIT_EXT = 0x00008000,
VK_VIDEO_ENCODE_H265_CAPABILITY_ENTROPY_CODING_SYNC_ENABLED_BIT_EXT = 0x00010000,
VK_VIDEO_ENCODE_H265_CAPABILITY_DEBLOCKING_FILTER_OVERRIDE_ENABLED_BIT_EXT = 0x00020000,
VK_VIDEO_ENCODE_H265_CAPABILITY_MULTIPLE_TILE_PER_FRAME_BIT_EXT = 0x00040000,
VK_VIDEO_ENCODE_H265_CAPABILITY_MULTIPLE_SLICE_PER_TILE_BIT_EXT = 0x00080000,
VK_VIDEO_ENCODE_H265_CAPABILITY_MULTIPLE_TILE_PER_SLICE_BIT_EXT = 0x00100000,
VK_VIDEO_ENCODE_H265_CAPABILITY_SLICE_SEGMENT_CTB_COUNT_BIT_EXT = 0x00200000,
VK_VIDEO_ENCODE_H265_CAPABILITY_ROW_UNALIGNED_SLICE_SEGMENT_BIT_EXT = 0x00400000,
VK_VIDEO_ENCODE_H265_CAPABILITY_DEPENDENT_SLICE_SEGMENT_BIT_EXT = 0x00800000,
VK_VIDEO_ENCODE_H265_CAPABILITY_DIFFERENT_SLICE_TYPE_BIT_EXT = 0x01000000,
VK_VIDEO_ENCODE_H265_CAPABILITY_B_FRAME_IN_L1_LIST_BIT_EXT = 0x02000000,
VK_VIDEO_ENCODE_H265_CAPABILITY_DIFFERENT_REFERENCE_FINAL_LISTS_BIT_EXT = 0x04000000,
VK_VIDEO_ENCODE_H265_CAPABILITY_FLAG_BITS_MAX_ENUM_EXT = 0x7FFFFFFF
} VkVideoEncodeH265CapabilityFlagBitsEXT;
typedef VkFlags VkVideoEncodeH265CapabilityFlagsEXT;
typedef enum VkVideoEncodeH265CtbSizeFlagBitsEXT {
VK_VIDEO_ENCODE_H265_CTB_SIZE_16_BIT_EXT = 0x00000001,
VK_VIDEO_ENCODE_H265_CTB_SIZE_32_BIT_EXT = 0x00000002,
VK_VIDEO_ENCODE_H265_CTB_SIZE_64_BIT_EXT = 0x00000004,
VK_VIDEO_ENCODE_H265_CTB_SIZE_FLAG_BITS_MAX_ENUM_EXT = 0x7FFFFFFF
} VkVideoEncodeH265CtbSizeFlagBitsEXT;
typedef VkFlags VkVideoEncodeH265CtbSizeFlagsEXT;
typedef enum VkVideoEncodeH265TransformBlockSizeFlagBitsEXT {
VK_VIDEO_ENCODE_H265_TRANSFORM_BLOCK_SIZE_4_BIT_EXT = 0x00000001,
VK_VIDEO_ENCODE_H265_TRANSFORM_BLOCK_SIZE_8_BIT_EXT = 0x00000002,
VK_VIDEO_ENCODE_H265_TRANSFORM_BLOCK_SIZE_16_BIT_EXT = 0x00000004,
VK_VIDEO_ENCODE_H265_TRANSFORM_BLOCK_SIZE_32_BIT_EXT = 0x00000008,
VK_VIDEO_ENCODE_H265_TRANSFORM_BLOCK_SIZE_FLAG_BITS_MAX_ENUM_EXT = 0x7FFFFFFF
} VkVideoEncodeH265TransformBlockSizeFlagBitsEXT;
typedef VkFlags VkVideoEncodeH265TransformBlockSizeFlagsEXT;
typedef struct VkVideoEncodeH265CapabilitiesEXT {
VkStructureType sType;
void* pNext;
VkVideoEncodeH265CapabilityFlagsEXT flags;
VkVideoEncodeH265CtbSizeFlagsEXT ctbSizes;
VkVideoEncodeH265TransformBlockSizeFlagsEXT transformBlockSizes;
uint32_t maxPPictureL0ReferenceCount;
uint32_t maxBPictureL0ReferenceCount;
uint32_t maxL1ReferenceCount;
uint32_t maxSubLayersCount;
uint32_t minLog2MinLumaCodingBlockSizeMinus3;
uint32_t maxLog2MinLumaCodingBlockSizeMinus3;
uint32_t minLog2MinLumaTransformBlockSizeMinus2;
uint32_t maxLog2MinLumaTransformBlockSizeMinus2;
uint32_t minMaxTransformHierarchyDepthInter;
uint32_t maxMaxTransformHierarchyDepthInter;
uint32_t minMaxTransformHierarchyDepthIntra;
uint32_t maxMaxTransformHierarchyDepthIntra;
uint32_t maxDiffCuQpDeltaDepth;
uint32_t minMaxNumMergeCand;
uint32_t maxMaxNumMergeCand;
} VkVideoEncodeH265CapabilitiesEXT;
typedef struct VkVideoEncodeH265SessionParametersAddInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t stdVPSCount;
const StdVideoH265VideoParameterSet* pStdVPSs;
uint32_t stdSPSCount;
const StdVideoH265SequenceParameterSet* pStdSPSs;
uint32_t stdPPSCount;
const StdVideoH265PictureParameterSet* pStdPPSs;
} VkVideoEncodeH265SessionParametersAddInfoEXT;
typedef struct VkVideoEncodeH265SessionParametersCreateInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t maxStdVPSCount;
uint32_t maxStdSPSCount;
uint32_t maxStdPPSCount;
const VkVideoEncodeH265SessionParametersAddInfoEXT* pParametersAddInfo;
} VkVideoEncodeH265SessionParametersCreateInfoEXT;
typedef struct VkVideoEncodeH265NaluSliceSegmentInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t ctbCount;
const StdVideoEncodeH265ReferenceListsInfo* pStdReferenceFinalLists;
const StdVideoEncodeH265SliceSegmentHeader* pStdSliceSegmentHeader;
} VkVideoEncodeH265NaluSliceSegmentInfoEXT;
typedef struct VkVideoEncodeH265VclFrameInfoEXT {
VkStructureType sType;
const void* pNext;
const StdVideoEncodeH265ReferenceListsInfo* pStdReferenceFinalLists;
uint32_t naluSliceSegmentEntryCount;
const VkVideoEncodeH265NaluSliceSegmentInfoEXT* pNaluSliceSegmentEntries;
const StdVideoEncodeH265PictureInfo* pStdPictureInfo;
} VkVideoEncodeH265VclFrameInfoEXT;
typedef struct VkVideoEncodeH265DpbSlotInfoEXT {
VkStructureType sType;
const void* pNext;
const StdVideoEncodeH265ReferenceInfo* pStdReferenceInfo;
} VkVideoEncodeH265DpbSlotInfoEXT;
typedef struct VkVideoEncodeH265ProfileInfoEXT {
VkStructureType sType;
const void* pNext;
StdVideoH265ProfileIdc stdProfileIdc;
} VkVideoEncodeH265ProfileInfoEXT;
typedef struct VkVideoEncodeH265RateControlInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t gopFrameCount;
uint32_t idrPeriod;
uint32_t consecutiveBFrameCount;
VkVideoEncodeH265RateControlStructureEXT rateControlStructure;
uint32_t subLayerCount;
} VkVideoEncodeH265RateControlInfoEXT;
typedef struct VkVideoEncodeH265QpEXT {
int32_t qpI;
int32_t qpP;
int32_t qpB;
} VkVideoEncodeH265QpEXT;
typedef struct VkVideoEncodeH265FrameSizeEXT {
uint32_t frameISize;
uint32_t framePSize;
uint32_t frameBSize;
} VkVideoEncodeH265FrameSizeEXT;
typedef struct VkVideoEncodeH265RateControlLayerInfoEXT {
VkStructureType sType;
const void* pNext;
uint32_t temporalId;
VkBool32 useInitialRcQp;
VkVideoEncodeH265QpEXT initialRcQp;
VkBool32 useMinQp;
VkVideoEncodeH265QpEXT minQp;
VkBool32 useMaxQp;
VkVideoEncodeH265QpEXT maxQp;
VkBool32 useMaxFrameSize;
VkVideoEncodeH265FrameSizeEXT maxFrameSize;
} VkVideoEncodeH265RateControlLayerInfoEXT;
#ifdef __cplusplus
}
#endif
#endif
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#ifndef VULKAN_DIRECTFB_H_
#define VULKAN_DIRECTFB_H_ 1
/*
** Copyright 2015-2023 The Khronos Group Inc.
**
** SPDX-License-Identifier: Apache-2.0
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_EXT_directfb_surface 1
#define VK_EXT_DIRECTFB_SURFACE_SPEC_VERSION 1
#define VK_EXT_DIRECTFB_SURFACE_EXTENSION_NAME "VK_EXT_directfb_surface"
typedef VkFlags VkDirectFBSurfaceCreateFlagsEXT;
typedef struct VkDirectFBSurfaceCreateInfoEXT {
VkStructureType sType;
const void* pNext;
VkDirectFBSurfaceCreateFlagsEXT flags;
IDirectFB* dfb;
IDirectFBSurface* surface;
} VkDirectFBSurfaceCreateInfoEXT;
typedef VkResult (VKAPI_PTR *PFN_vkCreateDirectFBSurfaceEXT)(VkInstance instance, const VkDirectFBSurfaceCreateInfoEXT* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceDirectFBPresentationSupportEXT)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, IDirectFB* dfb);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateDirectFBSurfaceEXT(
VkInstance instance,
const VkDirectFBSurfaceCreateInfoEXT* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
VKAPI_ATTR VkBool32 VKAPI_CALL vkGetPhysicalDeviceDirectFBPresentationSupportEXT(
VkPhysicalDevice physicalDevice,
uint32_t queueFamilyIndex,
IDirectFB* dfb);
#endif
#ifdef __cplusplus
}
#endif
#endif
+219 -19
View File
@@ -1,24 +1,10 @@
#ifndef VULKAN_FUCHSIA_H_
#define VULKAN_FUCHSIA_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_FUCHSIA_imagepipe_surface 1
#define VK_FUCHSIA_IMAGEPIPE_SURFACE_SPEC_VERSION 1
#define VK_FUCHSIA_IMAGEPIPE_SURFACE_EXTENSION_NAME "VK_FUCHSIA_imagepipe_surface"
typedef VkFlags VkImagePipeSurfaceCreateFlagsFUCHSIA;
typedef struct VkImagePipeSurfaceCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
@@ -40,7 +30,6 @@ typedef struct VkImagePipeSurfaceCreateInfoFUCHSIA {
zx_handle_t imagePipeHandle;
} VkImagePipeSurfaceCreateInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkCreateImagePipeSurfaceFUCHSIA)(VkInstance instance, const VkImagePipeSurfaceCreateInfoFUCHSIA* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
@@ -51,6 +40,217 @@ VKAPI_ATTR VkResult VKAPI_CALL vkCreateImagePipeSurfaceFUCHSIA(
VkSurfaceKHR* pSurface);
#endif
#define VK_FUCHSIA_external_memory 1
#define VK_FUCHSIA_EXTERNAL_MEMORY_SPEC_VERSION 1
#define VK_FUCHSIA_EXTERNAL_MEMORY_EXTENSION_NAME "VK_FUCHSIA_external_memory"
typedef struct VkImportMemoryZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkExternalMemoryHandleTypeFlagBits handleType;
zx_handle_t handle;
} VkImportMemoryZirconHandleInfoFUCHSIA;
typedef struct VkMemoryZirconHandlePropertiesFUCHSIA {
VkStructureType sType;
void* pNext;
uint32_t memoryTypeBits;
} VkMemoryZirconHandlePropertiesFUCHSIA;
typedef struct VkMemoryGetZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkDeviceMemory memory;
VkExternalMemoryHandleTypeFlagBits handleType;
} VkMemoryGetZirconHandleInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryZirconHandleFUCHSIA)(VkDevice device, const VkMemoryGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo, zx_handle_t* pZirconHandle);
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryZirconHandlePropertiesFUCHSIA)(VkDevice device, VkExternalMemoryHandleTypeFlagBits handleType, zx_handle_t zirconHandle, VkMemoryZirconHandlePropertiesFUCHSIA* pMemoryZirconHandleProperties);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkGetMemoryZirconHandleFUCHSIA(
VkDevice device,
const VkMemoryGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo,
zx_handle_t* pZirconHandle);
VKAPI_ATTR VkResult VKAPI_CALL vkGetMemoryZirconHandlePropertiesFUCHSIA(
VkDevice device,
VkExternalMemoryHandleTypeFlagBits handleType,
zx_handle_t zirconHandle,
VkMemoryZirconHandlePropertiesFUCHSIA* pMemoryZirconHandleProperties);
#endif
#define VK_FUCHSIA_external_semaphore 1
#define VK_FUCHSIA_EXTERNAL_SEMAPHORE_SPEC_VERSION 1
#define VK_FUCHSIA_EXTERNAL_SEMAPHORE_EXTENSION_NAME "VK_FUCHSIA_external_semaphore"
typedef struct VkImportSemaphoreZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkSemaphore semaphore;
VkSemaphoreImportFlags flags;
VkExternalSemaphoreHandleTypeFlagBits handleType;
zx_handle_t zirconHandle;
} VkImportSemaphoreZirconHandleInfoFUCHSIA;
typedef struct VkSemaphoreGetZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkSemaphore semaphore;
VkExternalSemaphoreHandleTypeFlagBits handleType;
} VkSemaphoreGetZirconHandleInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkImportSemaphoreZirconHandleFUCHSIA)(VkDevice device, const VkImportSemaphoreZirconHandleInfoFUCHSIA* pImportSemaphoreZirconHandleInfo);
typedef VkResult (VKAPI_PTR *PFN_vkGetSemaphoreZirconHandleFUCHSIA)(VkDevice device, const VkSemaphoreGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo, zx_handle_t* pZirconHandle);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkImportSemaphoreZirconHandleFUCHSIA(
VkDevice device,
const VkImportSemaphoreZirconHandleInfoFUCHSIA* pImportSemaphoreZirconHandleInfo);
VKAPI_ATTR VkResult VKAPI_CALL vkGetSemaphoreZirconHandleFUCHSIA(
VkDevice device,
const VkSemaphoreGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo,
zx_handle_t* pZirconHandle);
#endif
#define VK_FUCHSIA_buffer_collection 1
VK_DEFINE_NON_DISPATCHABLE_HANDLE(VkBufferCollectionFUCHSIA)
#define VK_FUCHSIA_BUFFER_COLLECTION_SPEC_VERSION 2
#define VK_FUCHSIA_BUFFER_COLLECTION_EXTENSION_NAME "VK_FUCHSIA_buffer_collection"
typedef VkFlags VkImageFormatConstraintsFlagsFUCHSIA;
typedef enum VkImageConstraintsInfoFlagBitsFUCHSIA {
VK_IMAGE_CONSTRAINTS_INFO_CPU_READ_RARELY_FUCHSIA = 0x00000001,
VK_IMAGE_CONSTRAINTS_INFO_CPU_READ_OFTEN_FUCHSIA = 0x00000002,
VK_IMAGE_CONSTRAINTS_INFO_CPU_WRITE_RARELY_FUCHSIA = 0x00000004,
VK_IMAGE_CONSTRAINTS_INFO_CPU_WRITE_OFTEN_FUCHSIA = 0x00000008,
VK_IMAGE_CONSTRAINTS_INFO_PROTECTED_OPTIONAL_FUCHSIA = 0x00000010,
VK_IMAGE_CONSTRAINTS_INFO_FLAG_BITS_MAX_ENUM_FUCHSIA = 0x7FFFFFFF
} VkImageConstraintsInfoFlagBitsFUCHSIA;
typedef VkFlags VkImageConstraintsInfoFlagsFUCHSIA;
typedef struct VkBufferCollectionCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
zx_handle_t collectionToken;
} VkBufferCollectionCreateInfoFUCHSIA;
typedef struct VkImportMemoryBufferCollectionFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCollectionFUCHSIA collection;
uint32_t index;
} VkImportMemoryBufferCollectionFUCHSIA;
typedef struct VkBufferCollectionImageCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCollectionFUCHSIA collection;
uint32_t index;
} VkBufferCollectionImageCreateInfoFUCHSIA;
typedef struct VkBufferCollectionConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
uint32_t minBufferCount;
uint32_t maxBufferCount;
uint32_t minBufferCountForCamping;
uint32_t minBufferCountForDedicatedSlack;
uint32_t minBufferCountForSharedSlack;
} VkBufferCollectionConstraintsInfoFUCHSIA;
typedef struct VkBufferConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCreateInfo createInfo;
VkFormatFeatureFlags requiredFormatFeatures;
VkBufferCollectionConstraintsInfoFUCHSIA bufferCollectionConstraints;
} VkBufferConstraintsInfoFUCHSIA;
typedef struct VkBufferCollectionBufferCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCollectionFUCHSIA collection;
uint32_t index;
} VkBufferCollectionBufferCreateInfoFUCHSIA;
typedef struct VkSysmemColorSpaceFUCHSIA {
VkStructureType sType;
const void* pNext;
uint32_t colorSpace;
} VkSysmemColorSpaceFUCHSIA;
typedef struct VkBufferCollectionPropertiesFUCHSIA {
VkStructureType sType;
void* pNext;
uint32_t memoryTypeBits;
uint32_t bufferCount;
uint32_t createInfoIndex;
uint64_t sysmemPixelFormat;
VkFormatFeatureFlags formatFeatures;
VkSysmemColorSpaceFUCHSIA sysmemColorSpaceIndex;
VkComponentMapping samplerYcbcrConversionComponents;
VkSamplerYcbcrModelConversion suggestedYcbcrModel;
VkSamplerYcbcrRange suggestedYcbcrRange;
VkChromaLocation suggestedXChromaOffset;
VkChromaLocation suggestedYChromaOffset;
} VkBufferCollectionPropertiesFUCHSIA;
typedef struct VkImageFormatConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkImageCreateInfo imageCreateInfo;
VkFormatFeatureFlags requiredFormatFeatures;
VkImageFormatConstraintsFlagsFUCHSIA flags;
uint64_t sysmemPixelFormat;
uint32_t colorSpaceCount;
const VkSysmemColorSpaceFUCHSIA* pColorSpaces;
} VkImageFormatConstraintsInfoFUCHSIA;
typedef struct VkImageConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
uint32_t formatConstraintsCount;
const VkImageFormatConstraintsInfoFUCHSIA* pFormatConstraints;
VkBufferCollectionConstraintsInfoFUCHSIA bufferCollectionConstraints;
VkImageConstraintsInfoFlagsFUCHSIA flags;
} VkImageConstraintsInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkCreateBufferCollectionFUCHSIA)(VkDevice device, const VkBufferCollectionCreateInfoFUCHSIA* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkBufferCollectionFUCHSIA* pCollection);
typedef VkResult (VKAPI_PTR *PFN_vkSetBufferCollectionImageConstraintsFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, const VkImageConstraintsInfoFUCHSIA* pImageConstraintsInfo);
typedef VkResult (VKAPI_PTR *PFN_vkSetBufferCollectionBufferConstraintsFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, const VkBufferConstraintsInfoFUCHSIA* pBufferConstraintsInfo);
typedef void (VKAPI_PTR *PFN_vkDestroyBufferCollectionFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, const VkAllocationCallbacks* pAllocator);
typedef VkResult (VKAPI_PTR *PFN_vkGetBufferCollectionPropertiesFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, VkBufferCollectionPropertiesFUCHSIA* pProperties);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateBufferCollectionFUCHSIA(
VkDevice device,
const VkBufferCollectionCreateInfoFUCHSIA* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkBufferCollectionFUCHSIA* pCollection);
VKAPI_ATTR VkResult VKAPI_CALL vkSetBufferCollectionImageConstraintsFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
const VkImageConstraintsInfoFUCHSIA* pImageConstraintsInfo);
VKAPI_ATTR VkResult VKAPI_CALL vkSetBufferCollectionBufferConstraintsFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
const VkBufferConstraintsInfoFUCHSIA* pBufferConstraintsInfo);
VKAPI_ATTR void VKAPI_CALL vkDestroyBufferCollectionFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
const VkAllocationCallbacks* pAllocator);
VKAPI_ATTR VkResult VKAPI_CALL vkGetBufferCollectionPropertiesFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
VkBufferCollectionPropertiesFUCHSIA* pProperties);
#endif
#ifdef __cplusplus
}
#endif
+58
View File
@@ -0,0 +1,58 @@
#ifndef VULKAN_GGP_H_
#define VULKAN_GGP_H_ 1
/*
** Copyright 2015-2023 The Khronos Group Inc.
**
** SPDX-License-Identifier: Apache-2.0
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_GGP_stream_descriptor_surface 1
#define VK_GGP_STREAM_DESCRIPTOR_SURFACE_SPEC_VERSION 1
#define VK_GGP_STREAM_DESCRIPTOR_SURFACE_EXTENSION_NAME "VK_GGP_stream_descriptor_surface"
typedef VkFlags VkStreamDescriptorSurfaceCreateFlagsGGP;
typedef struct VkStreamDescriptorSurfaceCreateInfoGGP {
VkStructureType sType;
const void* pNext;
VkStreamDescriptorSurfaceCreateFlagsGGP flags;
GgpStreamDescriptor streamDescriptor;
} VkStreamDescriptorSurfaceCreateInfoGGP;
typedef VkResult (VKAPI_PTR *PFN_vkCreateStreamDescriptorSurfaceGGP)(VkInstance instance, const VkStreamDescriptorSurfaceCreateInfoGGP* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateStreamDescriptorSurfaceGGP(
VkInstance instance,
const VkStreamDescriptorSurfaceCreateInfoGGP* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
#endif
#define VK_GGP_frame_token 1
#define VK_GGP_FRAME_TOKEN_SPEC_VERSION 1
#define VK_GGP_FRAME_TOKEN_EXTENSION_NAME "VK_GGP_frame_token"
typedef struct VkPresentFrameTokenGGP {
VkStructureType sType;
const void* pNext;
GgpFrameToken frameToken;
} VkPresentFrameTokenGGP;
#ifdef __cplusplus
}
#endif
#endif
+9 -20
View File
@@ -1,24 +1,10 @@
#ifndef VULKAN_IOS_H_
#define VULKAN_IOS_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_MVK_ios_surface 1
#define VK_MVK_IOS_SURFACE_SPEC_VERSION 2
#define VK_MVK_IOS_SURFACE_SPEC_VERSION 3
#define VK_MVK_IOS_SURFACE_EXTENSION_NAME "VK_MVK_ios_surface"
typedef VkFlags VkIOSSurfaceCreateFlagsMVK;
typedef struct VkIOSSurfaceCreateInfoMVK {
VkStructureType sType;
const void* pNext;
@@ -40,7 +30,6 @@ typedef struct VkIOSSurfaceCreateInfoMVK {
const void* pView;
} VkIOSSurfaceCreateInfoMVK;
typedef VkResult (VKAPI_PTR *PFN_vkCreateIOSSurfaceMVK)(VkInstance instance, const VkIOSSurfaceCreateInfoMVK* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
+9 -20
View File
@@ -1,24 +1,10 @@
#ifndef VULKAN_MACOS_H_
#define VULKAN_MACOS_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_MVK_macos_surface 1
#define VK_MVK_MACOS_SURFACE_SPEC_VERSION 2
#define VK_MVK_MACOS_SURFACE_SPEC_VERSION 3
#define VK_MVK_MACOS_SURFACE_EXTENSION_NAME "VK_MVK_macos_surface"
typedef VkFlags VkMacOSSurfaceCreateFlagsMVK;
typedef struct VkMacOSSurfaceCreateInfoMVK {
VkStructureType sType;
const void* pNext;
@@ -40,7 +30,6 @@ typedef struct VkMacOSSurfaceCreateInfoMVK {
const void* pView;
} VkMacOSSurfaceCreateInfoMVK;
typedef VkResult (VKAPI_PTR *PFN_vkCreateMacOSSurfaceMVK)(VkInstance instance, const VkMacOSSurfaceCreateInfoMVK* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
+193
View File
@@ -0,0 +1,193 @@
#ifndef VULKAN_METAL_H_
#define VULKAN_METAL_H_ 1
/*
** Copyright 2015-2023 The Khronos Group Inc.
**
** SPDX-License-Identifier: Apache-2.0
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_EXT_metal_surface 1
#ifdef __OBJC__
@class CAMetalLayer;
#else
typedef void CAMetalLayer;
#endif
#define VK_EXT_METAL_SURFACE_SPEC_VERSION 1
#define VK_EXT_METAL_SURFACE_EXTENSION_NAME "VK_EXT_metal_surface"
typedef VkFlags VkMetalSurfaceCreateFlagsEXT;
typedef struct VkMetalSurfaceCreateInfoEXT {
VkStructureType sType;
const void* pNext;
VkMetalSurfaceCreateFlagsEXT flags;
const CAMetalLayer* pLayer;
} VkMetalSurfaceCreateInfoEXT;
typedef VkResult (VKAPI_PTR *PFN_vkCreateMetalSurfaceEXT)(VkInstance instance, const VkMetalSurfaceCreateInfoEXT* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateMetalSurfaceEXT(
VkInstance instance,
const VkMetalSurfaceCreateInfoEXT* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
#endif
#define VK_EXT_metal_objects 1
#ifdef __OBJC__
@protocol MTLDevice;
typedef id<MTLDevice> MTLDevice_id;
#else
typedef void* MTLDevice_id;
#endif
#ifdef __OBJC__
@protocol MTLCommandQueue;
typedef id<MTLCommandQueue> MTLCommandQueue_id;
#else
typedef void* MTLCommandQueue_id;
#endif
#ifdef __OBJC__
@protocol MTLBuffer;
typedef id<MTLBuffer> MTLBuffer_id;
#else
typedef void* MTLBuffer_id;
#endif
#ifdef __OBJC__
@protocol MTLTexture;
typedef id<MTLTexture> MTLTexture_id;
#else
typedef void* MTLTexture_id;
#endif
typedef struct __IOSurface* IOSurfaceRef;
#ifdef __OBJC__
@protocol MTLSharedEvent;
typedef id<MTLSharedEvent> MTLSharedEvent_id;
#else
typedef void* MTLSharedEvent_id;
#endif
#define VK_EXT_METAL_OBJECTS_SPEC_VERSION 1
#define VK_EXT_METAL_OBJECTS_EXTENSION_NAME "VK_EXT_metal_objects"
typedef enum VkExportMetalObjectTypeFlagBitsEXT {
VK_EXPORT_METAL_OBJECT_TYPE_METAL_DEVICE_BIT_EXT = 0x00000001,
VK_EXPORT_METAL_OBJECT_TYPE_METAL_COMMAND_QUEUE_BIT_EXT = 0x00000002,
VK_EXPORT_METAL_OBJECT_TYPE_METAL_BUFFER_BIT_EXT = 0x00000004,
VK_EXPORT_METAL_OBJECT_TYPE_METAL_TEXTURE_BIT_EXT = 0x00000008,
VK_EXPORT_METAL_OBJECT_TYPE_METAL_IOSURFACE_BIT_EXT = 0x00000010,
VK_EXPORT_METAL_OBJECT_TYPE_METAL_SHARED_EVENT_BIT_EXT = 0x00000020,
VK_EXPORT_METAL_OBJECT_TYPE_FLAG_BITS_MAX_ENUM_EXT = 0x7FFFFFFF
} VkExportMetalObjectTypeFlagBitsEXT;
typedef VkFlags VkExportMetalObjectTypeFlagsEXT;
typedef struct VkExportMetalObjectCreateInfoEXT {
VkStructureType sType;
const void* pNext;
VkExportMetalObjectTypeFlagBitsEXT exportObjectType;
} VkExportMetalObjectCreateInfoEXT;
typedef struct VkExportMetalObjectsInfoEXT {
VkStructureType sType;
const void* pNext;
} VkExportMetalObjectsInfoEXT;
typedef struct VkExportMetalDeviceInfoEXT {
VkStructureType sType;
const void* pNext;
MTLDevice_id mtlDevice;
} VkExportMetalDeviceInfoEXT;
typedef struct VkExportMetalCommandQueueInfoEXT {
VkStructureType sType;
const void* pNext;
VkQueue queue;
MTLCommandQueue_id mtlCommandQueue;
} VkExportMetalCommandQueueInfoEXT;
typedef struct VkExportMetalBufferInfoEXT {
VkStructureType sType;
const void* pNext;
VkDeviceMemory memory;
MTLBuffer_id mtlBuffer;
} VkExportMetalBufferInfoEXT;
typedef struct VkImportMetalBufferInfoEXT {
VkStructureType sType;
const void* pNext;
MTLBuffer_id mtlBuffer;
} VkImportMetalBufferInfoEXT;
typedef struct VkExportMetalTextureInfoEXT {
VkStructureType sType;
const void* pNext;
VkImage image;
VkImageView imageView;
VkBufferView bufferView;
VkImageAspectFlagBits plane;
MTLTexture_id mtlTexture;
} VkExportMetalTextureInfoEXT;
typedef struct VkImportMetalTextureInfoEXT {
VkStructureType sType;
const void* pNext;
VkImageAspectFlagBits plane;
MTLTexture_id mtlTexture;
} VkImportMetalTextureInfoEXT;
typedef struct VkExportMetalIOSurfaceInfoEXT {
VkStructureType sType;
const void* pNext;
VkImage image;
IOSurfaceRef ioSurface;
} VkExportMetalIOSurfaceInfoEXT;
typedef struct VkImportMetalIOSurfaceInfoEXT {
VkStructureType sType;
const void* pNext;
IOSurfaceRef ioSurface;
} VkImportMetalIOSurfaceInfoEXT;
typedef struct VkExportMetalSharedEventInfoEXT {
VkStructureType sType;
const void* pNext;
VkSemaphore semaphore;
VkEvent event;
MTLSharedEvent_id mtlSharedEvent;
} VkExportMetalSharedEventInfoEXT;
typedef struct VkImportMetalSharedEventInfoEXT {
VkStructureType sType;
const void* pNext;
MTLSharedEvent_id mtlSharedEvent;
} VkImportMetalSharedEventInfoEXT;
typedef void (VKAPI_PTR *PFN_vkExportMetalObjectsEXT)(VkDevice device, VkExportMetalObjectsInfoEXT* pMetalObjectsInfo);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR void VKAPI_CALL vkExportMetalObjectsEXT(
VkDevice device,
VkExportMetalObjectsInfoEXT* pMetalObjectsInfo);
#endif
#ifdef __cplusplus
}
#endif
#endif
-65
View File
@@ -1,65 +0,0 @@
#ifndef VULKAN_MIR_H_
#define VULKAN_MIR_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#define VK_KHR_mir_surface 1
#define VK_KHR_MIR_SURFACE_SPEC_VERSION 4
#define VK_KHR_MIR_SURFACE_EXTENSION_NAME "VK_KHR_mir_surface"
typedef VkFlags VkMirSurfaceCreateFlagsKHR;
typedef struct VkMirSurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
VkMirSurfaceCreateFlagsKHR flags;
MirConnection* connection;
MirSurface* mirSurface;
} VkMirSurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateMirSurfaceKHR)(VkInstance instance, const VkMirSurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceMirPresentationSupportKHR)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, MirConnection* connection);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateMirSurfaceKHR(
VkInstance instance,
const VkMirSurfaceCreateInfoKHR* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
VKAPI_ATTR VkBool32 VKAPI_CALL vkGetPhysicalDeviceMirPresentationSupportKHR(
VkPhysicalDevice physicalDevice,
uint32_t queueFamilyIndex,
MirConnection* connection);
#endif
#ifdef __cplusplus
}
#endif
#endif
+54
View File
@@ -0,0 +1,54 @@
#ifndef VULKAN_SCREEN_H_
#define VULKAN_SCREEN_H_ 1
/*
** Copyright 2015-2023 The Khronos Group Inc.
**
** SPDX-License-Identifier: Apache-2.0
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_QNX_screen_surface 1
#define VK_QNX_SCREEN_SURFACE_SPEC_VERSION 1
#define VK_QNX_SCREEN_SURFACE_EXTENSION_NAME "VK_QNX_screen_surface"
typedef VkFlags VkScreenSurfaceCreateFlagsQNX;
typedef struct VkScreenSurfaceCreateInfoQNX {
VkStructureType sType;
const void* pNext;
VkScreenSurfaceCreateFlagsQNX flags;
struct _screen_context* context;
struct _screen_window* window;
} VkScreenSurfaceCreateInfoQNX;
typedef VkResult (VKAPI_PTR *PFN_vkCreateScreenSurfaceQNX)(VkInstance instance, const VkScreenSurfaceCreateInfoQNX* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceScreenPresentationSupportQNX)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, struct _screen_window* window);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateScreenSurfaceQNX(
VkInstance instance,
const VkScreenSurfaceCreateInfoQNX* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
VKAPI_ATTR VkBool32 VKAPI_CALL vkGetPhysicalDeviceScreenPresentationSupportQNX(
VkPhysicalDevice physicalDevice,
uint32_t queueFamilyIndex,
struct _screen_window* window);
#endif
#ifdef __cplusplus
}
#endif
#endif
+8 -19
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@@ -1,24 +1,10 @@
#ifndef VULKAN_VI_H_
#define VULKAN_VI_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_NN_vi_surface 1
#define VK_NN_VI_SURFACE_SPEC_VERSION 1
#define VK_NN_VI_SURFACE_EXTENSION_NAME "VK_NN_vi_surface"
typedef VkFlags VkViSurfaceCreateFlagsNN;
typedef struct VkViSurfaceCreateInfoNN {
VkStructureType sType;
const void* pNext;
@@ -40,7 +30,6 @@ typedef struct VkViSurfaceCreateInfoNN {
void* window;
} VkViSurfaceCreateInfoNN;
typedef VkResult (VKAPI_PTR *PFN_vkCreateViSurfaceNN)(VkInstance instance, const VkViSurfaceCreateInfoNN* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
+8 -19
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@@ -1,24 +1,10 @@
#ifndef VULKAN_WAYLAND_H_
#define VULKAN_WAYLAND_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_KHR_wayland_surface 1
#define VK_KHR_WAYLAND_SURFACE_SPEC_VERSION 6
#define VK_KHR_WAYLAND_SURFACE_EXTENSION_NAME "VK_KHR_wayland_surface"
typedef VkFlags VkWaylandSurfaceCreateFlagsKHR;
typedef struct VkWaylandSurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -41,7 +31,6 @@ typedef struct VkWaylandSurfaceCreateInfoKHR {
struct wl_surface* surface;
} VkWaylandSurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateWaylandSurfaceKHR)(VkInstance instance, const VkWaylandSurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceWaylandPresentationSupportKHR)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, struct wl_display* display);
+88 -31
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@@ -1,24 +1,10 @@
#ifndef VULKAN_WIN32_H_
#define VULKAN_WIN32_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_KHR_win32_surface 1
#define VK_KHR_WIN32_SURFACE_SPEC_VERSION 6
#define VK_KHR_WIN32_SURFACE_EXTENSION_NAME "VK_KHR_win32_surface"
typedef VkFlags VkWin32SurfaceCreateFlagsKHR;
typedef struct VkWin32SurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -41,7 +31,6 @@ typedef struct VkWin32SurfaceCreateInfoKHR {
HWND hwnd;
} VkWin32SurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateWin32SurfaceKHR)(VkInstance instance, const VkWin32SurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceWin32PresentationSupportKHR)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex);
@@ -57,10 +46,10 @@ VKAPI_ATTR VkBool32 VKAPI_CALL vkGetPhysicalDeviceWin32PresentationSupportKHR(
uint32_t queueFamilyIndex);
#endif
#define VK_KHR_external_memory_win32 1
#define VK_KHR_EXTERNAL_MEMORY_WIN32_SPEC_VERSION 1
#define VK_KHR_EXTERNAL_MEMORY_WIN32_EXTENSION_NAME "VK_KHR_external_memory_win32"
typedef struct VkImportMemoryWin32HandleInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -90,7 +79,6 @@ typedef struct VkMemoryGetWin32HandleInfoKHR {
VkExternalMemoryHandleTypeFlagBits handleType;
} VkMemoryGetWin32HandleInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryWin32HandleKHR)(VkDevice device, const VkMemoryGetWin32HandleInfoKHR* pGetWin32HandleInfo, HANDLE* pHandle);
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryWin32HandlePropertiesKHR)(VkDevice device, VkExternalMemoryHandleTypeFlagBits handleType, HANDLE handle, VkMemoryWin32HandlePropertiesKHR* pMemoryWin32HandleProperties);
@@ -107,10 +95,10 @@ VKAPI_ATTR VkResult VKAPI_CALL vkGetMemoryWin32HandlePropertiesKHR(
VkMemoryWin32HandlePropertiesKHR* pMemoryWin32HandleProperties);
#endif
#define VK_KHR_win32_keyed_mutex 1
#define VK_KHR_WIN32_KEYED_MUTEX_SPEC_VERSION 1
#define VK_KHR_WIN32_KEYED_MUTEX_EXTENSION_NAME "VK_KHR_win32_keyed_mutex"
typedef struct VkWin32KeyedMutexAcquireReleaseInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -128,7 +116,6 @@ typedef struct VkWin32KeyedMutexAcquireReleaseInfoKHR {
#define VK_KHR_external_semaphore_win32 1
#define VK_KHR_EXTERNAL_SEMAPHORE_WIN32_SPEC_VERSION 1
#define VK_KHR_EXTERNAL_SEMAPHORE_WIN32_EXTENSION_NAME "VK_KHR_external_semaphore_win32"
typedef struct VkImportSemaphoreWin32HandleInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -163,7 +150,6 @@ typedef struct VkSemaphoreGetWin32HandleInfoKHR {
VkExternalSemaphoreHandleTypeFlagBits handleType;
} VkSemaphoreGetWin32HandleInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkImportSemaphoreWin32HandleKHR)(VkDevice device, const VkImportSemaphoreWin32HandleInfoKHR* pImportSemaphoreWin32HandleInfo);
typedef VkResult (VKAPI_PTR *PFN_vkGetSemaphoreWin32HandleKHR)(VkDevice device, const VkSemaphoreGetWin32HandleInfoKHR* pGetWin32HandleInfo, HANDLE* pHandle);
@@ -178,10 +164,10 @@ VKAPI_ATTR VkResult VKAPI_CALL vkGetSemaphoreWin32HandleKHR(
HANDLE* pHandle);
#endif
#define VK_KHR_external_fence_win32 1
#define VK_KHR_EXTERNAL_FENCE_WIN32_SPEC_VERSION 1
#define VK_KHR_EXTERNAL_FENCE_WIN32_EXTENSION_NAME "VK_KHR_external_fence_win32"
typedef struct VkImportFenceWin32HandleInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -207,7 +193,6 @@ typedef struct VkFenceGetWin32HandleInfoKHR {
VkExternalFenceHandleTypeFlagBits handleType;
} VkFenceGetWin32HandleInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkImportFenceWin32HandleKHR)(VkDevice device, const VkImportFenceWin32HandleInfoKHR* pImportFenceWin32HandleInfo);
typedef VkResult (VKAPI_PTR *PFN_vkGetFenceWin32HandleKHR)(VkDevice device, const VkFenceGetWin32HandleInfoKHR* pGetWin32HandleInfo, HANDLE* pHandle);
@@ -222,10 +207,10 @@ VKAPI_ATTR VkResult VKAPI_CALL vkGetFenceWin32HandleKHR(
HANDLE* pHandle);
#endif
#define VK_NV_external_memory_win32 1
#define VK_NV_EXTERNAL_MEMORY_WIN32_SPEC_VERSION 1
#define VK_NV_EXTERNAL_MEMORY_WIN32_EXTENSION_NAME "VK_NV_external_memory_win32"
typedef struct VkImportMemoryWin32HandleInfoNV {
VkStructureType sType;
const void* pNext;
@@ -240,7 +225,6 @@ typedef struct VkExportMemoryWin32HandleInfoNV {
DWORD dwAccess;
} VkExportMemoryWin32HandleInfoNV;
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryWin32HandleNV)(VkDevice device, VkDeviceMemory memory, VkExternalMemoryHandleTypeFlagsNV handleType, HANDLE* pHandle);
#ifndef VK_NO_PROTOTYPES
@@ -251,10 +235,10 @@ VKAPI_ATTR VkResult VKAPI_CALL vkGetMemoryWin32HandleNV(
HANDLE* pHandle);
#endif
#define VK_NV_win32_keyed_mutex 1
#define VK_NV_WIN32_KEYED_MUTEX_SPEC_VERSION 1
#define VK_NV_WIN32_KEYED_MUTEX_EXTENSION_NAME "VK_NV_win32_keyed_mutex"
#define VK_NV_win32_keyed_mutex 1
#define VK_NV_WIN32_KEYED_MUTEX_SPEC_VERSION 2
#define VK_NV_WIN32_KEYED_MUTEX_EXTENSION_NAME "VK_NV_win32_keyed_mutex"
typedef struct VkWin32KeyedMutexAcquireReleaseInfoNV {
VkStructureType sType;
const void* pNext;
@@ -269,6 +253,79 @@ typedef struct VkWin32KeyedMutexAcquireReleaseInfoNV {
#define VK_EXT_full_screen_exclusive 1
#define VK_EXT_FULL_SCREEN_EXCLUSIVE_SPEC_VERSION 4
#define VK_EXT_FULL_SCREEN_EXCLUSIVE_EXTENSION_NAME "VK_EXT_full_screen_exclusive"
typedef enum VkFullScreenExclusiveEXT {
VK_FULL_SCREEN_EXCLUSIVE_DEFAULT_EXT = 0,
VK_FULL_SCREEN_EXCLUSIVE_ALLOWED_EXT = 1,
VK_FULL_SCREEN_EXCLUSIVE_DISALLOWED_EXT = 2,
VK_FULL_SCREEN_EXCLUSIVE_APPLICATION_CONTROLLED_EXT = 3,
VK_FULL_SCREEN_EXCLUSIVE_MAX_ENUM_EXT = 0x7FFFFFFF
} VkFullScreenExclusiveEXT;
typedef struct VkSurfaceFullScreenExclusiveInfoEXT {
VkStructureType sType;
void* pNext;
VkFullScreenExclusiveEXT fullScreenExclusive;
} VkSurfaceFullScreenExclusiveInfoEXT;
typedef struct VkSurfaceCapabilitiesFullScreenExclusiveEXT {
VkStructureType sType;
void* pNext;
VkBool32 fullScreenExclusiveSupported;
} VkSurfaceCapabilitiesFullScreenExclusiveEXT;
typedef struct VkSurfaceFullScreenExclusiveWin32InfoEXT {
VkStructureType sType;
const void* pNext;
HMONITOR hmonitor;
} VkSurfaceFullScreenExclusiveWin32InfoEXT;
typedef VkResult (VKAPI_PTR *PFN_vkGetPhysicalDeviceSurfacePresentModes2EXT)(VkPhysicalDevice physicalDevice, const VkPhysicalDeviceSurfaceInfo2KHR* pSurfaceInfo, uint32_t* pPresentModeCount, VkPresentModeKHR* pPresentModes);
typedef VkResult (VKAPI_PTR *PFN_vkAcquireFullScreenExclusiveModeEXT)(VkDevice device, VkSwapchainKHR swapchain);
typedef VkResult (VKAPI_PTR *PFN_vkReleaseFullScreenExclusiveModeEXT)(VkDevice device, VkSwapchainKHR swapchain);
typedef VkResult (VKAPI_PTR *PFN_vkGetDeviceGroupSurfacePresentModes2EXT)(VkDevice device, const VkPhysicalDeviceSurfaceInfo2KHR* pSurfaceInfo, VkDeviceGroupPresentModeFlagsKHR* pModes);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkGetPhysicalDeviceSurfacePresentModes2EXT(
VkPhysicalDevice physicalDevice,
const VkPhysicalDeviceSurfaceInfo2KHR* pSurfaceInfo,
uint32_t* pPresentModeCount,
VkPresentModeKHR* pPresentModes);
VKAPI_ATTR VkResult VKAPI_CALL vkAcquireFullScreenExclusiveModeEXT(
VkDevice device,
VkSwapchainKHR swapchain);
VKAPI_ATTR VkResult VKAPI_CALL vkReleaseFullScreenExclusiveModeEXT(
VkDevice device,
VkSwapchainKHR swapchain);
VKAPI_ATTR VkResult VKAPI_CALL vkGetDeviceGroupSurfacePresentModes2EXT(
VkDevice device,
const VkPhysicalDeviceSurfaceInfo2KHR* pSurfaceInfo,
VkDeviceGroupPresentModeFlagsKHR* pModes);
#endif
#define VK_NV_acquire_winrt_display 1
#define VK_NV_ACQUIRE_WINRT_DISPLAY_SPEC_VERSION 1
#define VK_NV_ACQUIRE_WINRT_DISPLAY_EXTENSION_NAME "VK_NV_acquire_winrt_display"
typedef VkResult (VKAPI_PTR *PFN_vkAcquireWinrtDisplayNV)(VkPhysicalDevice physicalDevice, VkDisplayKHR display);
typedef VkResult (VKAPI_PTR *PFN_vkGetWinrtDisplayNV)(VkPhysicalDevice physicalDevice, uint32_t deviceRelativeId, VkDisplayKHR* pDisplay);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkAcquireWinrtDisplayNV(
VkPhysicalDevice physicalDevice,
VkDisplayKHR display);
VKAPI_ATTR VkResult VKAPI_CALL vkGetWinrtDisplayNV(
VkPhysicalDevice physicalDevice,
uint32_t deviceRelativeId,
VkDisplayKHR* pDisplay);
#endif
#ifdef __cplusplus
}
#endif
+8 -19
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@@ -1,24 +1,10 @@
#ifndef VULKAN_XCB_H_
#define VULKAN_XCB_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_KHR_xcb_surface 1
#define VK_KHR_XCB_SURFACE_SPEC_VERSION 6
#define VK_KHR_XCB_SURFACE_EXTENSION_NAME "VK_KHR_xcb_surface"
typedef VkFlags VkXcbSurfaceCreateFlagsKHR;
typedef struct VkXcbSurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -41,7 +31,6 @@ typedef struct VkXcbSurfaceCreateInfoKHR {
xcb_window_t window;
} VkXcbSurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateXcbSurfaceKHR)(VkInstance instance, const VkXcbSurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceXcbPresentationSupportKHR)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, xcb_connection_t* connection, xcb_visualid_t visual_id);
+8 -19
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@@ -1,24 +1,10 @@
#ifndef VULKAN_XLIB_H_
#define VULKAN_XLIB_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_KHR_xlib_surface 1
#define VK_KHR_XLIB_SURFACE_SPEC_VERSION 6
#define VK_KHR_XLIB_SURFACE_EXTENSION_NAME "VK_KHR_xlib_surface"
typedef VkFlags VkXlibSurfaceCreateFlagsKHR;
typedef struct VkXlibSurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
@@ -41,7 +31,6 @@ typedef struct VkXlibSurfaceCreateInfoKHR {
Window window;
} VkXlibSurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateXlibSurfaceKHR)(VkInstance instance, const VkXlibSurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceXlibPresentationSupportKHR)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, Display* dpy, VisualID visualID);
+8 -17
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@@ -1,24 +1,10 @@
#ifndef VULKAN_XLIB_XRANDR_H_
#define VULKAN_XLIB_XRANDR_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,10 +13,15 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_EXT_acquire_xlib_display 1
#define VK_EXT_ACQUIRE_XLIB_DISPLAY_SPEC_VERSION 1
#define VK_EXT_ACQUIRE_XLIB_DISPLAY_EXTENSION_NAME "VK_EXT_acquire_xlib_display"
typedef VkResult (VKAPI_PTR *PFN_vkAcquireXlibDisplayEXT)(VkPhysicalDevice physicalDevice, Display* dpy, VkDisplayKHR display);
typedef VkResult (VKAPI_PTR *PFN_vkGetRandROutputDisplayEXT)(VkPhysicalDevice physicalDevice, Display* dpy, RROutput rrOutput, VkDisplayKHR* pDisplay);
+2 -2
View File
@@ -10,7 +10,7 @@ if(HAVE_IPP_ICV)
add_definitions(-DICV_BASE)
endif()
file(GLOB lib_srcs ${IPP_IW_PATH}/src/*.c)
file(GLOB lib_srcs ${IPP_IW_PATH}/src/*.c ${IPP_IW_PATH}/src/*.cpp)
file(GLOB lib_hdrs ${IPP_IW_PATH}/include/*.h ${IPP_IW_PATH}/include/iw/*.h ${IPP_IW_PATH}/include/iw++/*.hpp)
# ----------------------------------------------------------------------------------
@@ -24,7 +24,7 @@ if(UNIX)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-unused-function -Wno-missing-braces -Wno-missing-field-initializers")
endif()
if(CV_CLANG)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-self-assign")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-self-assign -Wno-strict-prototypes")
endif()
endif()
+20 -11
View File
@@ -2,32 +2,41 @@ function(download_ippicv root_var)
set(${root_var} "" PARENT_SCOPE)
# Commit SHA in the opencv_3rdparty repo
set(IPPICV_COMMIT "a56b6ac6f030c312b2dce17430eef13aed9af274")
set(IPPICV_COMMIT "c934a2a15a6df020446ac3dfa07e3acf72b63a8f")
# Define actual ICV versions
if(APPLE)
set(IPPICV_COMMIT "0cc4aa06bf2bef4b05d237c69a5a96b9cd0cb85a")
set(OPENCV_ICV_PLATFORM "macosx")
set(OPENCV_ICV_PACKAGE_SUBDIR "ippicv_mac")
set(OPENCV_ICV_NAME "ippicv_2020_mac_intel64_20191018_general.tgz")
set(OPENCV_ICV_HASH "1c3d675c2a2395d094d523024896e01b")
set(OPENCV_ICV_NAME "ippicv_2021.9.1_mac_intel64_20230919_general.tgz")
set(OPENCV_ICV_HASH "14f01c5a4780bfae9dde9b0aaf5e56fc")
elseif((UNIX AND NOT ANDROID) OR (UNIX AND ANDROID_ABI MATCHES "x86"))
set(OPENCV_ICV_PLATFORM "linux")
set(OPENCV_ICV_PACKAGE_SUBDIR "ippicv_lnx")
if(X86_64)
set(OPENCV_ICV_NAME "ippicv_2020_lnx_intel64_20191018_general.tgz")
set(OPENCV_ICV_HASH "7421de0095c7a39162ae13a6098782f9")
set(OPENCV_ICV_NAME "ippicv_2022.2.0_lnx_intel64_20250730_general.tgz")
set(OPENCV_ICV_HASH "55d18247d8ef707f009b94f69d77b948")
else()
set(OPENCV_ICV_NAME "ippicv_2020_lnx_ia32_20191018_general.tgz")
set(OPENCV_ICV_HASH "ad189a940fb60eb71f291321322fe3e8")
if(ANDROID)
set(IPPICV_COMMIT "c7c6d527dde5fee7cb914ee9e4e20f7436aab3a1")
set(OPENCV_ICV_NAME "ippicv_2021.10.1_lnx_ia32_20231206_general.tgz")
set(OPENCV_ICV_HASH "d9510f3ce08f6074aac472a5c19a3b53")
else()
set(IPPICV_COMMIT "7f55c0c26be418d494615afca15218566775c725")
set(OPENCV_ICV_NAME "ippicv_2021.12.0_lnx_ia32_20240425_general.tgz")
set(OPENCV_ICV_HASH "85ffa2b9ed7802b93c23fa27b0097d36")
endif()
endif()
elseif(WIN32 AND NOT ARM)
set(OPENCV_ICV_PLATFORM "windows")
set(OPENCV_ICV_PACKAGE_SUBDIR "ippicv_win")
if(X86_64)
set(OPENCV_ICV_NAME "ippicv_2020_win_intel64_20191018_general.zip")
set(OPENCV_ICV_HASH "879741a7946b814455eee6c6ffde2984")
set(OPENCV_ICV_NAME "ippicv_2022.2.0_win_intel64_20250730_general.zip")
set(OPENCV_ICV_HASH "7c0973976ab0716bc33f03a76a50017f")
else()
set(OPENCV_ICV_NAME "ippicv_2020_win_ia32_20191018_general.zip")
set(OPENCV_ICV_HASH "cd39bdf0c2e1cac9a61101dad7a2413e")
set(IPPICV_COMMIT "7f55c0c26be418d494615afca15218566775c725")
set(OPENCV_ICV_NAME "ippicv_2021.12.0_win_ia32_20240425_general.zip")
set(OPENCV_ICV_HASH "8b1d2a23957d57624d0de8f2a5cae5f1")
endif()
else()
return()
+6 -2
View File
@@ -24,7 +24,6 @@ set(ITT_PUBLIC_HDRS
include/ittnotify.h
include/jitprofiling.h
include/libittnotify.h
include/llvm_jit_event_listener.hpp
)
set(ITT_PRIVATE_HDRS
src/ittnotify/disable_warnings.h
@@ -39,6 +38,11 @@ set(ITT_SRCS
add_library(${ITT_LIBRARY} STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} ${ITT_SRCS} ${ITT_PUBLIC_HDRS} ${ITT_PRIVATE_HDRS})
file(STRINGS "src/ittnotify/ittnotify_config.h" API_VERSION_NUM REGEX "#define\[ \t]+API_VERSION_NUM[ \t]+([0-9\.]+)")
if(API_VERSION_NUM MATCHES "#define\[ \t]+API_VERSION_NUM[ \t]+([0-9\.]*)")
set(ITTNOTIFY_VERSION "${CMAKE_MATCH_1}" CACHE INTERNAL "" FORCE)
endif()
if(NOT WIN32)
if(HAVE_DL_LIBRARY)
target_link_libraries(${ITT_LIBRARY} dl)
@@ -64,4 +68,4 @@ if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${ITT_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev OPTIONAL)
endif()
ocv_install_3rdparty_licenses(ittnotify src/ittnotify/LICENSE.BSD src/ittnotify/LICENSE.GPL)
ocv_install_3rdparty_licenses(ittnotify src/ittnotify/BSD-3-Clause.txt src/ittnotify/GPL-2.0-only.txt)
+643 -101
View File
@@ -1,60 +1,8 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#ifndef _ITTNOTIFY_H_
#define _ITTNOTIFY_H_
@@ -63,7 +11,8 @@
@brief Public User API functions and types
@mainpage
The ITT API is used to annotate a user's program with additional information
The Instrumentation and Tracing Technology API (ITT API) is used to
annotate a user's program with additional information
that can be used by correctness and performance tools. The user inserts
calls in their program. Those calls generate information that is collected
at runtime, and used by Intel(R) Threading Tools.
@@ -141,6 +90,10 @@ The same ID may not be reused for different instances, unless a previous
# define ITT_OS_FREEBSD 4
#endif /* ITT_OS_FREEBSD */
#ifndef ITT_OS_OPENBSD
# define ITT_OS_OPENBSD 5
#endif /* ITT_OS_OPENBSD */
#ifndef ITT_OS
# if defined WIN32 || defined _WIN32
# define ITT_OS ITT_OS_WIN
@@ -148,6 +101,8 @@ The same ID may not be reused for different instances, unless a previous
# define ITT_OS ITT_OS_MAC
# elif defined( __FreeBSD__ )
# define ITT_OS ITT_OS_FREEBSD
# elif defined( __OpenBSD__)
# define ITT_OS ITT_OS_OPENBSD
# else
# define ITT_OS ITT_OS_LINUX
# endif
@@ -169,6 +124,10 @@ The same ID may not be reused for different instances, unless a previous
# define ITT_PLATFORM_FREEBSD 4
#endif /* ITT_PLATFORM_FREEBSD */
#ifndef ITT_PLATFORM_OPENBSD
# define ITT_PLATFORM_OPENBSD 5
#endif /* ITT_PLATFORM_OPENBSD */
#ifndef ITT_PLATFORM
# if ITT_OS==ITT_OS_WIN
# define ITT_PLATFORM ITT_PLATFORM_WIN
@@ -176,6 +135,8 @@ The same ID may not be reused for different instances, unless a previous
# define ITT_PLATFORM ITT_PLATFORM_MAC
# elif ITT_OS==ITT_OS_FREEBSD
# define ITT_PLATFORM ITT_PLATFORM_FREEBSD
# elif ITT_OS==ITT_OS_OPENBSD
# define ITT_PLATFORM ITT_PLATFORM_OPENBSD
# else
# define ITT_PLATFORM ITT_PLATFORM_POSIX
# endif
@@ -228,7 +189,12 @@ The same ID may not be reused for different instances, unless a previous
#if ITT_PLATFORM==ITT_PLATFORM_WIN
/* use __forceinline (VC++ specific) */
#define ITT_INLINE __forceinline
#if defined(__MINGW32__) && !defined(__cplusplus)
#define ITT_INLINE static __inline__ __attribute__((__always_inline__,__gnu_inline__))
#else
#define ITT_INLINE static __forceinline
#endif /* __MINGW32__ */
#define ITT_INLINE_ATTRIBUTE /* nothing */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
/*
@@ -289,20 +255,20 @@ The same ID may not be reused for different instances, unless a previous
#define ITTNOTIFY_VOID(n) (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)
#define ITTNOTIFY_DATA(n) (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)
#define ITTNOTIFY_VOID_D0(n,d) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_VOID_D1(n,d,x) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_VOID_D2(n,d,x,y) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_VOID_D3(n,d,x,y,z) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_VOID_D4(n,d,x,y,z,a) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_VOID_D5(n,d,x,y,z,a,b) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_VOID_D6(n,d,x,y,z,a,b,c) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#define ITTNOTIFY_DATA_D0(n,d) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_DATA_D1(n,d,x) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_DATA_D2(n,d,x,y) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_DATA_D3(n,d,x,y,z) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_DATA_D4(n,d,x,y,z,a) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_DATA_D5(n,d,x,y,z,a,b) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_DATA_D6(n,d,x,y,z,a,b,c) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#define ITTNOTIFY_VOID_D0(n,d) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_VOID_D1(n,d,x) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_VOID_D2(n,d,x,y) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_VOID_D3(n,d,x,y,z) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_VOID_D4(n,d,x,y,z,a) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_VOID_D5(n,d,x,y,z,a,b) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_VOID_D6(n,d,x,y,z,a,b,c) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#define ITTNOTIFY_DATA_D0(n,d) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_DATA_D1(n,d,x) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_DATA_D2(n,d,x,y) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_DATA_D3(n,d,x,y,z) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_DATA_D4(n,d,x,y,z,a) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_DATA_D5(n,d,x,y,z,a,b) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_DATA_D6(n,d,x,y,z,a,b,c) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#ifdef ITT_STUB
#undef ITT_STUB
@@ -340,7 +306,7 @@ extern "C" {
* only pauses tracing and analyzing memory access.
* It does not pause tracing or analyzing threading APIs.
* .
* - Intel(R) Parallel Amplifier and Intel(R) VTune(TM) Amplifier XE:
* - Intel(R) VTune(TM) Profiler:
* - Does continue to record when new threads are started.
* .
* - Other effects:
@@ -355,35 +321,143 @@ void ITTAPI __itt_resume(void);
/** @brief Detach collection */
void ITTAPI __itt_detach(void);
/**
* @enum __itt_collection_scope
* @brief Enumerator for collection scopes
*/
typedef enum {
__itt_collection_scope_host = 1 << 0,
__itt_collection_scope_offload = 1 << 1,
__itt_collection_scope_all = 0x7FFFFFFF
} __itt_collection_scope;
/** @brief Pause scoped collection */
void ITTAPI __itt_pause_scoped(__itt_collection_scope);
/** @brief Resume scoped collection */
void ITTAPI __itt_resume_scoped(__itt_collection_scope);
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, pause, (void))
ITT_STUBV(ITTAPI, void, resume, (void))
ITT_STUBV(ITTAPI, void, detach, (void))
#define __itt_pause ITTNOTIFY_VOID(pause)
#define __itt_pause_ptr ITTNOTIFY_NAME(pause)
#define __itt_resume ITTNOTIFY_VOID(resume)
#define __itt_resume_ptr ITTNOTIFY_NAME(resume)
#define __itt_detach ITTNOTIFY_VOID(detach)
#define __itt_detach_ptr ITTNOTIFY_NAME(detach)
ITT_STUBV(ITTAPI, void, pause, (void))
ITT_STUBV(ITTAPI, void, pause_scoped, (__itt_collection_scope))
ITT_STUBV(ITTAPI, void, resume, (void))
ITT_STUBV(ITTAPI, void, resume_scoped, (__itt_collection_scope))
ITT_STUBV(ITTAPI, void, detach, (void))
#define __itt_pause ITTNOTIFY_VOID(pause)
#define __itt_pause_ptr ITTNOTIFY_NAME(pause)
#define __itt_pause_scoped ITTNOTIFY_VOID(pause_scoped)
#define __itt_pause_scoped_ptr ITTNOTIFY_NAME(pause_scoped)
#define __itt_resume ITTNOTIFY_VOID(resume)
#define __itt_resume_ptr ITTNOTIFY_NAME(resume)
#define __itt_resume_scoped ITTNOTIFY_VOID(resume_scoped)
#define __itt_resume_scoped_ptr ITTNOTIFY_NAME(resume_scoped)
#define __itt_detach ITTNOTIFY_VOID(detach)
#define __itt_detach_ptr ITTNOTIFY_NAME(detach)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_pause()
#define __itt_pause_ptr 0
#define __itt_pause_ptr 0
#define __itt_pause_scoped(scope)
#define __itt_pause_scoped_ptr 0
#define __itt_resume()
#define __itt_resume_ptr 0
#define __itt_resume_ptr 0
#define __itt_resume_scoped(scope)
#define __itt_resume_scoped_ptr 0
#define __itt_detach()
#define __itt_detach_ptr 0
#define __itt_detach_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_pause_ptr 0
#define __itt_resume_ptr 0
#define __itt_detach_ptr 0
#define __itt_pause_ptr 0
#define __itt_pause_scoped_ptr 0
#define __itt_resume_ptr 0
#define __itt_resume_scoped_ptr 0
#define __itt_detach_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/** @} control group */
/** @endcond */
/**
* @defgroup Intel Processor Trace control
* API from this group provides control over collection and analysis of Intel Processor Trace (Intel PT) data
* Information about Intel Processor Trace technology can be found here (Volume 3 chapter 35):
* https://software.intel.com/sites/default/files/managed/39/c5/325462-sdm-vol-1-2abcd-3abcd.pdf
* Use this API to mark particular code regions for loading detailed performance statistics.
* This mode makes your analysis faster and more accurate.
* @{
*/
typedef unsigned char __itt_pt_region;
/**
* @brief function saves a region name marked with Intel PT API and returns a region id.
* Only 7 names can be registered. Attempts to register more names will be ignored and a region id with auto names will be returned.
* For automatic naming of regions pass NULL as function parameter
*/
#if ITT_PLATFORM==ITT_PLATFORM_WIN
__itt_pt_region ITTAPI __itt_pt_region_createA(const char *name);
__itt_pt_region ITTAPI __itt_pt_region_createW(const wchar_t *name);
#if defined(UNICODE) || defined(_UNICODE)
# define __itt_pt_region_create __itt_pt_region_createW
#else /* UNICODE */
# define __itt_pt_region_create __itt_pt_region_createA
#endif /* UNICODE */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
__itt_pt_region ITTAPI __itt_pt_region_create(const char *name);
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_pt_region, pt_region_createA, (const char *name))
ITT_STUB(ITTAPI, __itt_pt_region, pt_region_createW, (const wchar_t *name))
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_pt_region, pt_region_create, (const char *name))
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_pt_region_createA ITTNOTIFY_DATA(pt_region_createA)
#define __itt_pt_region_createA_ptr ITTNOTIFY_NAME(pt_region_createA)
#define __itt_pt_region_createW ITTNOTIFY_DATA(pt_region_createW)
#define __itt_pt_region_createW_ptr ITTNOTIFY_NAME(pt_region_createW)
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_pt_region_create ITTNOTIFY_DATA(pt_region_create)
#define __itt_pt_region_create_ptr ITTNOTIFY_NAME(pt_region_create)
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#else /* INTEL_NO_ITTNOTIFY_API */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_pt_region_createA(name) (__itt_pt_region)0
#define __itt_pt_region_createA_ptr 0
#define __itt_pt_region_createW(name) (__itt_pt_region)0
#define __itt_pt_region_createW_ptr 0
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_pt_region_create(name) (__itt_pt_region)0
#define __itt_pt_region_create_ptr 0
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_pt_region_createA_ptr 0
#define __itt_pt_region_createW_ptr 0
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_pt_region_create_ptr 0
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/**
* @brief function contains a special code pattern identified on the post-processing stage and
* marks the beginning of a code region targeted for Intel PT analysis
* @param[in] region - region id, 0 <= region < 8
*/
void __itt_mark_pt_region_begin(__itt_pt_region region);
/**
* @brief function contains a special code pattern identified on the post-processing stage and
* marks the end of a code region targeted for Intel PT analysis
* @param[in] region - region id, 0 <= region < 8
*/
void __itt_mark_pt_region_end(__itt_pt_region region);
/** @} Intel PT control group*/
/**
* @defgroup threads Threads
* @ingroup public
@@ -541,14 +615,26 @@ ITT_STUBV(ITTAPI, void, suppress_pop, (void))
/** @endcond */
/**
* @enum __itt_model_disable
* @brief Enumerator for the disable methods
* @enum __itt_suppress_mode
* @brief Enumerator for the suppressing modes
*/
typedef enum __itt_suppress_mode {
__itt_unsuppress_range,
__itt_suppress_range
} __itt_suppress_mode_t;
/**
* @enum __itt_collection_state
* @brief Enumerator for collection state.
*/
typedef enum {
__itt_collection_uninitialized = 0, /* uninitialized */
__itt_collection_init_fail = 1, /* failed to init */
__itt_collection_collector_absent = 2, /* non work state collector is absent */
__itt_collection_collector_exists = 3, /* work state collector exists */
__itt_collection_init_successful = 4 /* success to init */
} __itt_collection_state;
/**
* @brief Mark a range of memory for error suppression or unsuppression for error types included in mask
*/
@@ -1496,7 +1582,7 @@ ITT_STUBV(ITTAPI, void, heap_allocate_end, (__itt_heap_function h, void** addr,
/** @endcond */
/**
* @brief Record an free begin occurrence.
* @brief Record a free begin occurrence.
*/
void ITTAPI __itt_heap_free_begin(__itt_heap_function h, void* addr);
@@ -1516,7 +1602,7 @@ ITT_STUBV(ITTAPI, void, heap_free_begin, (__itt_heap_function h, void* addr))
/** @endcond */
/**
* @brief Record an free end occurrence.
* @brief Record a free end occurrence.
*/
void ITTAPI __itt_heap_free_end(__itt_heap_function h, void* addr);
@@ -1536,7 +1622,7 @@ ITT_STUBV(ITTAPI, void, heap_free_end, (__itt_heap_function h, void* addr))
/** @endcond */
/**
* @brief Record an reallocation begin occurrence.
* @brief Record a reallocation begin occurrence.
*/
void ITTAPI __itt_heap_reallocate_begin(__itt_heap_function h, void* addr, size_t new_size, int initialized);
@@ -1556,7 +1642,7 @@ ITT_STUBV(ITTAPI, void, heap_reallocate_begin, (__itt_heap_function h, void* add
/** @endcond */
/**
* @brief Record an reallocation end occurrence.
* @brief Record a reallocation end occurrence.
*/
void ITTAPI __itt_heap_reallocate_end(__itt_heap_function h, void* addr, void** new_addr, size_t new_size, int initialized);
@@ -2692,7 +2778,7 @@ ITT_STUB(ITTAPI, __itt_clock_domain*, clock_domain_create, (__itt_get_clock_info
/**
* @ingroup clockdomains
* @brief Recalculate clock domains frequences and clock base timestamps.
* @brief Recalculate clock domains frequencies and clock base timestamps.
*/
void ITTAPI __itt_clock_domain_reset(void);
@@ -3597,11 +3683,12 @@ ITT_STUBV(ITTAPI, void, enable_attach, (void))
/** @endcond */
/**
* @brief Module load info
* This API is used to report necessary information in case of module relocation
* @param[in] start_addr - relocated module start address
* @param[in] end_addr - relocated module end address
* @param[in] path - file system path to the module
* @brief Module load notification
* This API is used to report necessary information in case of bypassing default system loader.
* Notification should be done immidiatelly after this module is loaded to process memory.
* @param[in] start_addr - module start address
* @param[in] end_addr - module end address
* @param[in] path - file system full path to the module
*/
#if ITT_PLATFORM==ITT_PLATFORM_WIN
void ITTAPI __itt_module_loadA(void *start_addr, void *end_addr, const char *path);
@@ -3656,7 +3743,462 @@ ITT_STUB(ITTAPI, void, module_load, (void *start_addr, void *end_addr, const ch
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/**
* @brief Report module unload
* This API is used to report necessary information in case of bypassing default system loader.
* Notification should be done just before the module is unloaded from process memory.
* @param[in] addr - base address of loaded module
*/
void ITTAPI __itt_module_unload(void *addr);
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, module_unload, (void *addr))
#define __itt_module_unload ITTNOTIFY_VOID(module_unload)
#define __itt_module_unload_ptr ITTNOTIFY_NAME(module_unload)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_module_unload(addr)
#define __itt_module_unload_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_module_unload_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/** @cond exclude_from_documentation */
typedef enum
{
__itt_module_type_unknown = 0,
__itt_module_type_elf,
__itt_module_type_coff
} __itt_module_type;
/** @endcond */
/** @cond exclude_from_documentation */
typedef enum
{
itt_section_type_unknown,
itt_section_type_bss, /* notifies that the section contains uninitialized data. These are the relevant section types and the modules that contain them:
* ELF module: SHT_NOBITS section type
* COFF module: IMAGE_SCN_CNT_UNINITIALIZED_DATA section type
*/
itt_section_type_data, /* notifies that section contains initialized data. These are the relevant section types and the modules that contain them:
* ELF module: SHT_PROGBITS section type
* COFF module: IMAGE_SCN_CNT_INITIALIZED_DATA section type
*/
itt_section_type_text /* notifies that the section contains executable code. These are the relevant section types and the modules that contain them:
* ELF module: SHT_PROGBITS section type
* COFF module: IMAGE_SCN_CNT_CODE section type
*/
} __itt_section_type;
/** @endcond */
/**
* @hideinitializer
* @brief bit-mask, detects a section attribute that indicates whether a section can be executed as code:
* These are the relevant section attributes and the modules that contain them:
* ELF module: PF_X section attribute
* COFF module: IMAGE_SCN_MEM_EXECUTE attribute
*/
#define __itt_section_exec 0x20000000
/**
* @hideinitializer
* @brief bit-mask, detects a section attribute that indicates whether a section can be read.
* These are the relevant section attributes and the modules that contain them:
* ELF module: PF_R attribute
* COFF module: IMAGE_SCN_MEM_READ attribute
*/
#define __itt_section_read 0x40000000
/**
* @hideinitializer
* @brief bit-mask, detects a section attribute that indicates whether a section can be written to.
* These are the relevant section attributes and the modules that contain them:
* ELF module: PF_W attribute
* COFF module: IMAGE_SCN_MEM_WRITE attribute
*/
#define __itt_section_write 0x80000000
/** @cond exclude_from_documentation */
#pragma pack(push, 8)
typedef struct ___itt_section_info
{
const char* name; /*!< Section name in UTF8 */
__itt_section_type type; /*!< Section content and semantics description */
size_t flags; /*!< Section bit flags that describe attributes using bit mask
* Zero if disabled, non-zero if enabled
*/
void* start_addr; /*!< Section load(relocated) start address */
size_t size; /*!< Section file offset */
size_t file_offset; /*!< Section size */
} __itt_section_info;
#pragma pack(pop)
/** @endcond */
/** @cond exclude_from_documentation */
#pragma pack(push, 8)
typedef struct ___itt_module_object
{
unsigned int version; /*!< API version*/
__itt_id module_id; /*!< Unique identifier. This is unchanged for sections that belong to the same module */
__itt_module_type module_type; /*!< Binary module format */
const char* module_name; /*!< Unique module name or path to module in UTF8
* Contains module name when module_bufer and module_size exist
* Contains module path when module_bufer and module_size absent
* module_name remains the same for the certain module_id
*/
void* module_buffer; /*!< Module buffer content */
size_t module_size; /*!< Module buffer size */
/*!< If module_buffer and module_size exist, the binary module is dumped onto the system.
* If module_buffer and module_size do not exist,
* the binary module exists on the system already.
* The module_name parameter contains the path to the module.
*/
__itt_section_info* section_array; /*!< Reference to section information */
size_t section_number;
} __itt_module_object;
#pragma pack(pop)
/** @endcond */
/**
* @brief Load module content and its loaded(relocated) sections.
* This API is useful to save a module, or specify its location on the system and report information about loaded sections.
* The target module is saved on the system if module buffer content and size are available.
* If module buffer content and size are unavailable, the module name contains the path to the existing binary module.
* @param[in] module_obj - provides module and section information, along with unique module identifiers (name,module ID)
* which bind the binary module to particular sections.
*/
void ITTAPI __itt_module_load_with_sections(__itt_module_object* module_obj);
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, module_load_with_sections, (__itt_module_object* module_obj))
#define __itt_module_load_with_sections ITTNOTIFY_VOID(module_load_with_sections)
#define __itt_module_load_with_sections_ptr ITTNOTIFY_NAME(module_load_with_sections)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_module_load_with_sections(module_obj)
#define __itt_module_load_with_sections_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_module_load_with_sections_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/**
* @brief Unload a module and its loaded(relocated) sections.
* This API notifies that the module and its sections were unloaded.
* @param[in] module_obj - provides module and sections information, along with unique module identifiers (name,module ID)
* which bind the binary module to particular sections.
*/
void ITTAPI __itt_module_unload_with_sections(__itt_module_object* module_obj);
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, module_unload_with_sections, (__itt_module_object* module_obj))
#define __itt_module_unload_with_sections ITTNOTIFY_VOID(module_unload_with_sections)
#define __itt_module_unload_with_sections_ptr ITTNOTIFY_NAME(module_unload_with_sections)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_module_unload_with_sections(module_obj)
#define __itt_module_unload_with_sections_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_module_unload_with_sections_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/** @cond exclude_from_documentation */
#pragma pack(push, 8)
typedef struct ___itt_histogram
{
const __itt_domain* domain; /*!< Domain of the histogram*/
const char* nameA; /*!< Name of the histogram */
#if defined(UNICODE) || defined(_UNICODE)
const wchar_t* nameW;
#else /* UNICODE || _UNICODE */
void* nameW;
#endif /* UNICODE || _UNICODE */
__itt_metadata_type x_type; /*!< Type of the histogram X axis */
__itt_metadata_type y_type; /*!< Type of the histogram Y axis */
int extra1; /*!< Reserved to the runtime */
void* extra2; /*!< Reserved to the runtime */
struct ___itt_histogram* next;
} __itt_histogram;
#pragma pack(pop)
/** @endcond */
/**
* @brief Create a typed histogram instance with given name/domain.
* @param[in] domain The domain controlling the call.
* @param[in] name The name of the histogram.
* @param[in] x_type The type of the X axis in histogram (may be 0 to calculate batch statistics).
* @param[in] y_type The type of the Y axis in histogram.
*/
#if ITT_PLATFORM==ITT_PLATFORM_WIN
__itt_histogram* ITTAPI __itt_histogram_createA(const __itt_domain* domain, const char* name, __itt_metadata_type x_type, __itt_metadata_type y_type);
__itt_histogram* ITTAPI __itt_histogram_createW(const __itt_domain* domain, const wchar_t* name, __itt_metadata_type x_type, __itt_metadata_type y_type);
#if defined(UNICODE) || defined(_UNICODE)
# define __itt_histogram_create __itt_histogram_createW
# define __itt_histogram_create_ptr __itt_histogram_createW_ptr
#else /* UNICODE */
# define __itt_histogram_create __itt_histogram_createA
# define __itt_histogram_create_ptr __itt_histogram_createA_ptr
#endif /* UNICODE */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
__itt_histogram* ITTAPI __itt_histogram_create(const __itt_domain* domain, const char* name, __itt_metadata_type x_type, __itt_metadata_type y_type);
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_histogram*, histogram_createA, (const __itt_domain* domain, const char* name, __itt_metadata_type x_type, __itt_metadata_type y_type))
ITT_STUB(ITTAPI, __itt_histogram*, histogram_createW, (const __itt_domain* domain, const wchar_t* name, __itt_metadata_type x_type, __itt_metadata_type y_type))
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_histogram*, histogram_create, (const __itt_domain* domain, const char* name, __itt_metadata_type x_type, __itt_metadata_type y_type))
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_histogram_createA ITTNOTIFY_DATA(histogram_createA)
#define __itt_histogram_createA_ptr ITTNOTIFY_NAME(histogram_createA)
#define __itt_histogram_createW ITTNOTIFY_DATA(histogram_createW)
#define __itt_histogram_createW_ptr ITTNOTIFY_NAME(histogram_createW)
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_histogram_create ITTNOTIFY_DATA(histogram_create)
#define __itt_histogram_create_ptr ITTNOTIFY_NAME(histogram_create)
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#else /* INTEL_NO_ITTNOTIFY_API */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_histogram_createA(domain, name, x_type, y_type) (__itt_histogram*)0
#define __itt_histogram_createA_ptr 0
#define __itt_histogram_createW(domain, name, x_type, y_type) (__itt_histogram*)0
#define __itt_histogram_createW_ptr 0
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_histogram_create(domain, name, x_type, y_type) (__itt_histogram*)0
#define __itt_histogram_create_ptr 0
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_histogram_createA_ptr 0
#define __itt_histogram_createW_ptr 0
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_histogram_create_ptr 0
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/**
* @brief Submit statistics for a histogram instance.
* @param[in] hist Pointer to the histogram instance to which the histogram statistic is to be dumped.
* @param[in] length The number of elements in dumped axis data array.
* @param[in] x_data The X axis dumped data itself (may be NULL to calculate batch statistics).
* @param[in] y_data The Y axis dumped data itself.
*/
void ITTAPI __itt_histogram_submit(__itt_histogram* hist, size_t length, void* x_data, void* y_data);
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, histogram_submit, (__itt_histogram* hist, size_t length, void* x_data, void* y_data))
#define __itt_histogram_submit ITTNOTIFY_VOID(histogram_submit)
#define __itt_histogram_submit_ptr ITTNOTIFY_NAME(histogram_submit)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_histogram_submit(hist, length, x_data, y_data)
#define __itt_histogram_submit_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_histogram_submit_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/**
* @brief function allows to obtain the current collection state at the moment
* @return collection state as a enum __itt_collection_state
*/
__itt_collection_state __itt_get_collection_state(void);
/**
* @brief function releases resources allocated by ITT API static part
* this API should be called from the library destructor
* @return void
*/
void __itt_release_resources(void);
/** @endcond */
/**
* @brief Create a typed counter with given domain pointer, string name and counter type
*/
#if ITT_PLATFORM==ITT_PLATFORM_WIN
__itt_counter ITTAPI __itt_counter_createA_v3(const __itt_domain* domain, const char* name, __itt_metadata_type type);
__itt_counter ITTAPI __itt_counter_createW_v3(const __itt_domain* domain, const wchar_t* name, __itt_metadata_type type);
#if defined(UNICODE) || defined(_UNICODE)
# define __itt_counter_create_v3 __itt_counter_createW_v3
# define __itt_counter_create_v3_ptr __itt_counter_createW_v3_ptr
#else /* UNICODE */
# define __itt_counter_create_v3 __itt_counter_createA_v3
# define __itt_counter_create_v3_ptr __itt_counter_createA_v3_ptr
#endif /* UNICODE */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
__itt_counter ITTAPI __itt_counter_create_v3(const __itt_domain* domain, const char* name, __itt_metadata_type type);
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_counter, counter_createA_v3, (const __itt_domain* domain, const char* name, __itt_metadata_type type))
ITT_STUB(ITTAPI, __itt_counter, counter_createW_v3, (const __itt_domain* domain, const wchar_t* name, __itt_metadata_type type))
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_counter, counter_create_v3, (const __itt_domain* domain, const char* name, __itt_metadata_type type))
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_counter_createA_v3 ITTNOTIFY_DATA(counter_createA_v3)
#define __itt_counter_createA_v3_ptr ITTNOTIFY_NAME(counter_createA_v3)
#define __itt_counter_createW_v3 ITTNOTIFY_DATA(counter_createW_v3)
#define __itt_counter_createW_v3_ptr ITTNOTIFY_NAME(counter_createW_v3)
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_counter_create_v3 ITTNOTIFY_DATA(counter_create_v3)
#define __itt_counter_create_v3_ptr ITTNOTIFY_NAME(counter_create_v3)
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#else /* INTEL_NO_ITTNOTIFY_API */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_counter_createA_v3(domain, name, type) (__itt_counter)0
#define __itt_counter_createA_v3_ptr 0
#define __itt_counter_createW_v3(domain, name, type) (__itt_counter)0
#define __itt_counter_create_typedW_ptr 0
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_counter_create_v3(domain, name, type) (__itt_counter)0
#define __itt_counter_create_v3_ptr 0
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define __itt_counter_createA_v3_ptr 0
#define __itt_counter_createW_v3_ptr 0
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#define __itt_counter_create_v3_ptr 0
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/**
* @brief Set the counter value api
*/
void ITTAPI __itt_counter_set_value_v3(__itt_counter counter, void *value_ptr);
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, counter_set_value_v3, (__itt_counter counter, void *value_ptr))
#define __itt_counter_set_value_v3 ITTNOTIFY_VOID(counter_set_value_v3)
#define __itt_counter_set_value_v3_ptr ITTNOTIFY_NAME(counter_set_value_v3)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_counter_set_value_v3(counter, value_ptr)
#define __itt_counter_set_value_v3_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_counter_set_value_v3_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/**
* @brief describes the type of context metadata
*/
typedef enum {
__itt_context_unknown = 0, /*!< Undefined type */
__itt_context_nameA, /*!< ASCII string char* type */
__itt_context_nameW, /*!< Unicode string wchar_t* type */
__itt_context_deviceA, /*!< ASCII string char* type */
__itt_context_deviceW, /*!< Unicode string wchar_t* type */
__itt_context_unitsA, /*!< ASCII string char* type */
__itt_context_unitsW, /*!< Unicode string wchar_t* type */
__itt_context_pci_addrA, /*!< ASCII string char* type */
__itt_context_pci_addrW, /*!< Unicode string wchar_t* type */
__itt_context_tid, /*!< Unsigned 64-bit integer type */
__itt_context_max_val, /*!< Unsigned 64-bit integer type */
__itt_context_bandwidth_flag, /*!< Unsigned 64-bit integer type */
__itt_context_latency_flag, /*!< Unsigned 64-bit integer type */
__itt_context_occupancy_flag, /*!< Unsigned 64-bit integer type */
__itt_context_on_thread_flag, /*!< Unsigned 64-bit integer type */
__itt_context_is_abs_val_flag, /*!< Unsigned 64-bit integer type */
__itt_context_cpu_instructions_flag, /*!< Unsigned 64-bit integer type */
__itt_context_cpu_cycles_flag /*!< Unsigned 64-bit integer type */
} __itt_context_type;
#if defined(UNICODE) || defined(_UNICODE)
# define __itt_context_name __itt_context_nameW
# define __itt_context_device __itt_context_deviceW
# define __itt_context_units __itt_context_unitsW
# define __itt_context_pci_addr __itt_context_pci_addrW
#else /* UNICODE || _UNICODE */
# define __itt_context_name __itt_context_nameA
# define __itt_context_device __itt_context_deviceA
# define __itt_context_units __itt_context_unitsA
# define __itt_context_pci_addr __itt_context_pci_addrA
#endif /* UNICODE || _UNICODE */
/** @cond exclude_from_documentation */
#pragma pack(push, 8)
typedef struct ___itt_context_metadata
{
__itt_context_type type; /*!< Type of the context metadata value */
void* value; /*!< Pointer to context metadata value itself */
} __itt_context_metadata;
#pragma pack(pop)
/** @endcond */
/** @cond exclude_from_documentation */
#pragma pack(push, 8)
typedef struct ___itt_counter_metadata
{
__itt_counter counter; /*!< Associated context metadata counter */
__itt_context_type type; /*!< Type of the context metadata value */
const char* str_valueA; /*!< String context metadata value */
#if defined(UNICODE) || defined(_UNICODE)
const wchar_t* str_valueW;
#else /* UNICODE || _UNICODE */
void* str_valueW;
#endif /* UNICODE || _UNICODE */
unsigned long long value; /*!< Numeric context metadata value */
int extra1; /*!< Reserved to the runtime */
void* extra2; /*!< Reserved to the runtime */
struct ___itt_counter_metadata* next;
} __itt_counter_metadata;
#pragma pack(pop)
/** @endcond */
/**
* @brief Bind context metadata to counter instance
* @param[in] counter Pointer to the counter instance to which the context metadata is to be associated.
* @param[in] length The number of elements in context metadata array.
* @param[in] metadata The context metadata itself.
*/
void ITTAPI __itt_bind_context_metadata_to_counter(__itt_counter counter, size_t length, __itt_context_metadata* metadata);
/** @cond exclude_from_documentation */
#ifndef INTEL_NO_MACRO_BODY
#ifndef INTEL_NO_ITTNOTIFY_API
ITT_STUBV(ITTAPI, void, bind_context_metadata_to_counter, (__itt_counter counter, size_t length, __itt_context_metadata* metadata))
#define __itt_bind_context_metadata_to_counter ITTNOTIFY_VOID(bind_context_metadata_to_counter)
#define __itt_bind_context_metadata_to_counter_ptr ITTNOTIFY_NAME(bind_context_metadata_to_counter)
#else /* INTEL_NO_ITTNOTIFY_API */
#define __itt_bind_context_metadata_to_counter(counter, length, metadata)
#define __itt_bind_context_metadata_to_counter_ptr 0
#endif /* INTEL_NO_ITTNOTIFY_API */
#else /* INTEL_NO_MACRO_BODY */
#define __itt_bind_context_metadata_to_counter_ptr 0
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
#ifdef __cplusplus
}
@@ -4005,7 +4547,7 @@ ITT_STUB(ITTAPI, __itt_caller, stack_caller_create, (void))
/** @endcond */
/**
* @brief Destroy the inforamtion about stitch point identified by the pointer previously returned by __itt_stack_caller_create()
* @brief Destroy the information about stitch point identified by the pointer previously returned by __itt_stack_caller_create()
*/
void ITTAPI __itt_stack_caller_destroy(__itt_caller id);
+23 -75
View File
@@ -1,60 +1,8 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#ifndef __JITPROFILING_H__
#define __JITPROFILING_H__
@@ -66,7 +14,7 @@
* generated code that can be used by performance tools. The user inserts
* calls in the code generator to report information before JIT-compiled
* code goes to execution. This information is collected at runtime and used
* by tools like Intel(R) VTune(TM) Amplifier to display performance metrics
* by tools like Intel(R) VTune(TM) Profiler to display performance metrics
* associated with JIT-compiled code.
*
* These APIs can be used to\n
@@ -97,16 +45,16 @@
* * Expected behavior:
* * If any iJVM_EVENT_TYPE_METHOD_LOAD_FINISHED event overwrites an
* already reported method, then such a method becomes invalid and its
* memory region is treated as unloaded. VTune Amplifier displays the metrics
* memory region is treated as unloaded. VTune Profiler displays the metrics
* collected by the method until it is overwritten.
* * If supplied line number information contains multiple source lines for
* the same assembly instruction (code location), then VTune Amplifier picks up
* the same assembly instruction (code location), then VTune Profiler picks up
* the first line number.
* * Dynamically generated code can be associated with a module name.
* Use the iJIT_Method_Load_V2 structure.\n
* Clarification of some cases:
* * If you register a function with the same method ID multiple times,
* specifying different module names, then the VTune Amplifier picks up
* specifying different module names, then the VTune Profiler picks up
* the module name registered first. If you want to distinguish the same
* function between different JIT engines, supply different method IDs for
* each function. Other symbolic information (for example, source file)
@@ -143,18 +91,18 @@
* belonging to the same method. Symbolic information (method name,
* source file name) will be taken from the first notification, and all
* subsequent notifications with the same method ID will be processed
* only for line number table information. So, the VTune Amplifier will map
* only for line number table information. So, the VTune Profiler will map
* samples to a source line using the line number table from the current
* notification while taking the source file name from the very first one.\n
* Clarification of some cases:\n
* * If you register a second code region with a different source file
* name and the same method ID, then this information will be saved and
* will not be considered as an extension of the first code region, but
* VTune Amplifier will use the source file of the first code region and map
* VTune Profiler will use the source file of the first code region and map
* performance metrics incorrectly.
* * If you register a second code region with the same source file as
* for the first region and the same method ID, then the source file will be
* discarded but VTune Amplifier will map metrics to the source file correctly.
* discarded but VTune Profiler will map metrics to the source file correctly.
* * If you register a second code region with a null source file and
* the same method ID, then provided line number info will be associated
* with the source file of the first code region.
@@ -293,7 +241,7 @@ typedef enum _iJIT_IsProfilingActiveFlags
* @brief Description of a single entry in the line number information of a code region.
* @details A table of line number entries gives information about how the reported code region
* is mapped to source file.
* Intel(R) VTune(TM) Amplifier uses line number information to attribute
* Intel(R) VTune(TM) Profiler uses line number information to attribute
* the samples (virtual address) to a line number. \n
* It is acceptable to report different code addresses for the same source line:
* @code
@@ -304,7 +252,7 @@ typedef enum _iJIT_IsProfilingActiveFlags
* 18 1
* 21 30
*
* VTune Amplifier constructs the following table using the client data
* VTune Profiler constructs the following table using the client data
*
* Code subrange Line number
* 0-1 2
@@ -428,7 +376,7 @@ typedef struct _iJIT_Method_Load_V2
char* module_name; /**<\brief Module name. Can be NULL.
The module name can be useful for distinguishing among
different JIT engines. VTune Amplifier will display
different JIT engines. VTune Profiler will display
reported methods grouped by specific module. */
} *piJIT_Method_Load_V2, iJIT_Method_Load_V2;
@@ -480,7 +428,7 @@ typedef struct _iJIT_Method_Load_V3
char* module_name; /**<\brief Module name. Can be NULL.
* The module name can be useful for distinguishing among
* different JIT engines. VTune Amplifier will display
* different JIT engines. VTune Profiler will display
* reported methods grouped by specific module. */
iJIT_CodeArchitecture module_arch; /**<\brief Architecture of the method's code region.
@@ -490,9 +438,9 @@ typedef struct _iJIT_Method_Load_V3
* engine generates 64-bit code.
*
* If JIT engine reports both 32-bit and 64-bit types
* of methods then VTune Amplifier splits the methods
* of methods then VTune Profiler splits the methods
* with the same module name but with different
* architectures in two different modules. VTune Amplifier
* architectures in two different modules. VTune Profiler
* modifies the original name provided with a 64-bit method
* version by ending it with '(64)' */
@@ -561,9 +509,9 @@ typedef enum _iJIT_SegmentType
iJIT_CT_CODE, /**<\brief Executable code. */
iJIT_CT_DATA, /**<\brief Data (not executable code).
* VTune Amplifier uses the format string
* VTune Profiler uses the format string
* (see iJIT_Method_Update) to represent
* this data in the VTune Amplifier GUI */
* this data in the VTune Profiler GUI */
iJIT_CT_KEEP, /**<\brief Use the previous markup for the trace.
* Can be used for the following
@@ -580,11 +528,11 @@ typedef enum _iJIT_SegmentType
* structure to describe the update of the content within a JIT-compiled method,
* use iJVM_EVENT_TYPE_METHOD_UPDATE_V2 as an event type to report it.
*
* On the first Update event, VTune Amplifier copies the original code range reported by
* On the first Update event, VTune Profiler copies the original code range reported by
* the iJVM_EVENT_TYPE_METHOD_LOAD event, then modifies it with the supplied bytes and
* adds the modified range to the original method. For next update events, VTune Amplifier
* adds the modified range to the original method. For next update events, VTune Profiler
* does the same but it uses the latest modified version of a code region for update.
* Eventually, VTune Amplifier GUI displays multiple code ranges for the method reported by
* Eventually, VTune Profiler GUI displays multiple code ranges for the method reported by
* the iJVM_EVENT_TYPE_METHOD_LOAD event.
* Notes:
* - Multiple update events with different types for the same trace are allowed
@@ -673,7 +621,7 @@ iJIT_IsProfilingActiveFlags JITAPI iJIT_IsProfilingActive(void);
* @brief Reports infomation about JIT-compiled code to the agent.
*
* The reported information is used to attribute samples obtained from any
* Intel(R) VTune(TM) Amplifier collector. This API needs to be called
* Intel(R) VTune(TM) Profiler collector. This API needs to be called
* after JIT compilation and before the first entry into the JIT-compiled
* code.
*
+39 -74
View File
@@ -1,60 +1,8 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#ifndef _LEGACY_ITTNOTIFY_H_
#define _LEGACY_ITTNOTIFY_H_
@@ -80,6 +28,10 @@
# define ITT_OS_FREEBSD 4
#endif /* ITT_OS_FREEBSD */
#ifndef ITT_OS_OPENBSD
# define ITT_OS_OPENBSD 5
#endif /* ITT_OS_OPENBSD */
#ifndef ITT_OS
# if defined WIN32 || defined _WIN32
# define ITT_OS ITT_OS_WIN
@@ -87,6 +39,8 @@
# define ITT_OS ITT_OS_MAC
# elif defined( __FreeBSD__ )
# define ITT_OS ITT_OS_FREEBSD
# elif defined( __OpenBSD__ )
# define ITT_OS ITT_OS_OPENBSD
# else
# define ITT_OS ITT_OS_LINUX
# endif
@@ -108,6 +62,10 @@
# define ITT_PLATFORM_FREEBSD 4
#endif /* ITT_PLATFORM_FREEBSD */
#ifndef ITT_PLATFORM_OPENBSD
# define ITT_PLATFORM_OPENBSD 5
#endif /* ITT_PLATFORM_OPENBSD */
#ifndef ITT_PLATFORM
# if ITT_OS==ITT_OS_WIN
# define ITT_PLATFORM ITT_PLATFORM_WIN
@@ -115,6 +73,8 @@
# define ITT_PLATFORM ITT_PLATFORM_MAC
# elif ITT_OS==ITT_OS_FREEBSD
# define ITT_PLATFORM ITT_PLATFORM_FREEBSD
# elif ITT_OS==ITT_OS_OPENBSD
# define ITT_PLATFORM ITT_PLATFORM_OPENBSD
# else
# define ITT_PLATFORM ITT_PLATFORM_POSIX
# endif
@@ -167,7 +127,12 @@
#if ITT_PLATFORM==ITT_PLATFORM_WIN
/* use __forceinline (VC++ specific) */
#define ITT_INLINE __forceinline
#if defined(__MINGW32__) && !defined(__cplusplus)
#define ITT_INLINE static __inline__ __attribute__((__always_inline__,__gnu_inline__))
#else
#define ITT_INLINE static __forceinline
#endif /* __MINGW32__ */
#define ITT_INLINE_ATTRIBUTE /* nothing */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
/*
@@ -219,20 +184,20 @@
#define ITTNOTIFY_VOID(n) (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)
#define ITTNOTIFY_DATA(n) (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)
#define ITTNOTIFY_VOID_D0(n,d) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_VOID_D1(n,d,x) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_VOID_D2(n,d,x,y) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_VOID_D3(n,d,x,y,z) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_VOID_D4(n,d,x,y,z,a) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_VOID_D5(n,d,x,y,z,a,b) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_VOID_D6(n,d,x,y,z,a,b,c) (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#define ITTNOTIFY_DATA_D0(n,d) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_DATA_D1(n,d,x) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_DATA_D2(n,d,x,y) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_DATA_D3(n,d,x,y,z) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_DATA_D4(n,d,x,y,z,a) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_DATA_D5(n,d,x,y,z,a,b) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_DATA_D6(n,d,x,y,z,a,b,c) (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#define ITTNOTIFY_VOID_D0(n,d) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_VOID_D1(n,d,x) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_VOID_D2(n,d,x,y) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_VOID_D3(n,d,x,y,z) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_VOID_D4(n,d,x,y,z,a) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_VOID_D5(n,d,x,y,z,a,b) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_VOID_D6(n,d,x,y,z,a,b,c) (d == NULL) ? (void)0 : (!(d)->flags) ? (void)0 : (!ITTNOTIFY_NAME(n)) ? (void)0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#define ITTNOTIFY_DATA_D0(n,d) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d)
#define ITTNOTIFY_DATA_D1(n,d,x) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x)
#define ITTNOTIFY_DATA_D2(n,d,x,y) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y)
#define ITTNOTIFY_DATA_D3(n,d,x,y,z) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z)
#define ITTNOTIFY_DATA_D4(n,d,x,y,z,a) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a)
#define ITTNOTIFY_DATA_D5(n,d,x,y,z,a,b) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b)
#define ITTNOTIFY_DATA_D6(n,d,x,y,z,a,b,c) (d == NULL) ? 0 : (!(d)->flags) ? 0 : (!ITTNOTIFY_NAME(n)) ? 0 : ITTNOTIFY_NAME(n)(d,x,y,z,a,b,c)
#ifdef ITT_STUB
#undef ITT_STUB
@@ -269,7 +234,7 @@ extern "C" {
* only pauses tracing and analyzing memory access.
* It does not pause tracing or analyzing threading APIs.
* .
* - Intel(R) Parallel Amplifier and Intel(R) VTune(TM) Amplifier XE:
* - Intel(R) VTune(TM) Profiler:
* - Does continue to record when new threads are started.
* .
* - Other effects:
@@ -1005,9 +970,9 @@ ITT_STUB(ITTAPI, __itt_frame, frame_create, (const char *domain))
#endif /* INTEL_NO_MACRO_BODY */
/** @endcond */
/** @brief Record an frame begin occurrence. */
/** @brief Record a frame begin occurrence. */
void ITTAPI __itt_frame_begin(__itt_frame frame);
/** @brief Record an frame end occurrence. */
/** @brief Record a frame end occurrence. */
void ITTAPI __itt_frame_end (__itt_frame frame);
/** @cond exclude_from_documentation */
+4 -56
View File
@@ -1,60 +1,8 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#ifndef _LIBITTNOTIFY_H_
#define _LIBITTNOTIFY_H_
-241
View File
@@ -1,241 +0,0 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
/*
* This file implements an interface bridge from Low-Level Virtual Machine
* llvm::JITEventListener to Intel JIT Profiling API. It passes the function
* and line information to the appropriate functions in the JIT profiling
* interface so that any LLVM-based JIT engine can emit the JIT code
* notifications that the profiler will receive.
*
* Usage model:
*
* 1. Register the listener implementation instance with the execution engine:
*
* #include <llvm_jit_event_listener.hpp>
* ...
* ExecutionEngine *TheExecutionEngine;
* ...
* TheExecutionEngine = EngineBuilder(TheModule).create();
* ...
* __itt_llvm_jit_event_listener jitListener;
* TheExecutionEngine->RegisterJITEventListener(&jitListener);
* ...
*
* 2. When compiling make sure to add the ITT API include directory to the
* compiler include directories, ITT API library directory to the linker
* library directories and link with jitprofling static library.
*/
#ifndef __ITT_LLVM_JIT_EVENT_LISTENER_HPP__
#define __ITT_LLVM_JIT_EVENT_LISTENER_HPP__
#include "jitprofiling.h"
#include <llvm/Function.h>
#include <llvm/ExecutionEngine/JITEventListener.h>
#include <llvm/ADT/StringRef.h>
#include <llvm/Analysis/DebugInfo.h>
#include <map>
#include <cassert>
// Uncomment the line below to turn on logging to stderr
#define JITPROFILING_DEBUG_ENABLE
// Some elementary logging support
#ifdef JITPROFILING_DEBUG_ENABLE
#include <cstdio>
#include <cstdarg>
static void _jit_debug(const char* format, ...)
{
va_list args;
va_start(args, format);
vfprintf(stderr, format, args);
va_end(args);
}
// Use the macro as JITDEBUG(("foo: %d", foo_val));
#define JITDEBUG(x) \
do { \
_jit_debug("jit-listener: "); \
_jit_debug x; \
} \
while (0)
#else
#define JITDEBUG(x)
#endif
// LLVM JIT event listener, translates the notifications to the JIT profiling
// API information.
class __itt_llvm_jit_event_listener : public llvm::JITEventListener
{
public:
__itt_llvm_jit_event_listener() {}
public:
virtual void NotifyFunctionEmitted(const llvm::Function &F,
void *Code, size_t Size, const EmittedFunctionDetails &Details)
{
std::string name = F.getName().str();
JITDEBUG(("function jitted:\n"));
JITDEBUG((" addr=0x%08x\n", (int)Code));
JITDEBUG((" name=`%s'\n", name.c_str()));
JITDEBUG((" code-size=%d\n", (int)Size));
JITDEBUG((" line-infos-count=%d\n", Details.LineStarts.size()));
// The method must not be in the map - the entry must have been cleared
// from the map in NotifyFreeingMachineCode in case of rejitting.
assert(m_addr2MethodId.find(Code) == m_addr2MethodId.end());
int mid = iJIT_GetNewMethodID();
m_addr2MethodId[Code] = mid;
iJIT_Method_Load mload;
memset(&mload, 0, sizeof mload);
mload.method_id = mid;
// Populate the method size and name information
// TODO: The JIT profiling API should have members as const char pointers.
mload.method_name = (char*)name.c_str();
mload.method_load_address = Code;
mload.method_size = (unsigned int)Size;
// Populate line information now.
// From the JIT API documentation it is not quite clear whether the
// line information can be given in ranges, so we'll populate it for
// every byte of the function, hmm.
std::string srcFilePath;
std::vector<LineNumberInfo> lineInfos;
char *addr = (char*)Code;
char *lineAddr = addr; // Exclusive end point at which current
// line info changes.
const llvm::DebugLoc* loc = 0; // Current line info
int lineIndex = -1; // Current index into the line info table
for (int i = 0; i < Size; ++i, ++addr) {
while (addr >= lineAddr) {
if (lineIndex >= 0 && lineIndex < Details.LineStarts.size()) {
loc = &Details.LineStarts[lineIndex].Loc;
std::string p = getSrcFilePath(F.getContext(), *loc);
assert(srcFilePath.empty() || p == srcFilePath);
srcFilePath = p;
} else {
loc = NULL;
}
lineIndex++;
if (lineIndex >= 0 && lineIndex < Details.LineStarts.size()) {
lineAddr = (char*)Details.LineStarts[lineIndex].Address;
} else {
lineAddr = addr + Size;
}
}
if (loc) {
int line = loc->getLine();
LineNumberInfo info = { i, line };
lineInfos.push_back(info);
JITDEBUG((" addr 0x%08x -> line %d\n", addr, line));
}
}
if (!lineInfos.empty()) {
mload.line_number_size = lineInfos.size();
JITDEBUG((" translated to %d line infos to JIT", (int)lineInfos.size()));
mload.line_number_table = &lineInfos[0];
mload.source_file_name = (char*)srcFilePath.c_str();
}
iJIT_NotifyEvent(iJVM_EVENT_TYPE_METHOD_LOAD_FINISHED, &mload);
}
virtual void NotifyFreeingMachineCode(void *OldPtr)
{
JITDEBUG(("function unjitted\n"));
JITDEBUG((" addr=0x%08x\n", (int)OldPtr));
Addr2MethodId::iterator it = m_addr2MethodId.find(OldPtr);
assert(it != m_addr2MethodId.end());
iJIT_Method_Id mid = { it->second };
iJIT_NotifyEvent(iJVM_EVENT_TYPE_METHOD_UNLOAD_START, &mid);
m_addr2MethodId.erase(it);
}
private:
std::string getSrcFilePath(const llvm::LLVMContext& ctx, const llvm::DebugLoc& loc)
{
llvm::MDNode* node = loc.getAsMDNode(ctx);
llvm::DILocation srcLoc(node);
return srcLoc.getDirectory().str() + "/" + srcLoc.getFilename().str();
}
private:
/// Don't copy
__itt_llvm_jit_event_listener(const __itt_llvm_jit_event_listener&);
__itt_llvm_jit_event_listener& operator=(const __itt_llvm_jit_event_listener&);
private:
typedef std::vector<LineNumberInfo> LineInfoList;
// The method unload notification in VTune JIT profiling API takes the
// method ID, not method address so have to maintain the mapping. Is
// there a more efficient and simple way to do this like attaching the
// method ID information somehow to the LLVM function instance?
//
// TODO: It would be more convenient for the JIT API to take the method
// address, not method ID.
typedef std::map<const void*, int> Addr2MethodId;
Addr2MethodId m_addr2MethodId;
};
#endif // Header guard
@@ -1,7 +1,8 @@
Copyright (c) 2011, Intel Corporation
All rights reserved.
Copyright (c) 2019 Intel Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
• Neither the name of the Intel Corporation nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
@@ -1,65 +1,103 @@
The GNU General Public License (GPL)
GNU GENERAL PUBLIC LICENSE
Version 2, June 1991
Copyright (C) 1989, 1991 Free Software Foundation, Inc.
59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed.
Preamble
The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Library General Public License instead.) You can apply it to your programs, too.
The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Lesser General Public License instead.) You can apply it to your programs, too.
When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things.
To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it.
For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights.
We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software.
Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations.
Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all.
The precise terms and conditions for copying, distribution and modification follow.
TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION
0. This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you".
Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does.
1. You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program.
You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee.
2. You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions:
a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change.
b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License.
c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.)
These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it.
Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program.
In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License.
3. You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following:
a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or,
b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or,
c) Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.)
The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable.
If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code.
4. You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance.
5. You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it.
6. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License.
7. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program.
If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances.
It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice.
This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License.
8. If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License.
9. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns.
Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation.
10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally.
NO WARRANTY
11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found.
One line to give the program's name and a brief idea of what it does.
Copyright (C) <year> <name of author>
<one line to give the program's name and an idea of what it does.>
Copyright (C) < yyyy> <name of author>
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
Also add information on how to contact you by electronic and paper mail.
If the program is interactive, make it output a short notice like this when it starts in an interactive mode:
Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program.
You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names:
Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker.
signature of Ty Coon, 1 April 1989
Ty Coon, President of Vice
This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Library General Public License instead of this License.
<signature of Ty Coon>, 1 April 1989 Ty Coon, President of Vice
This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License.
+8 -56
View File
@@ -1,71 +1,23 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#include "ittnotify_config.h"
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#if defined _MSC_VER
#pragma warning (disable: 593) /* parameter "XXXX" was set but never used */
#pragma warning (disable: 344) /* typedef name has already been declared (with same type) */
#pragma warning (disable: 174) /* expression has no effect */
#pragma warning (disable: 4127) /* conditional expression is constant */
#pragma warning (disable: 4306) /* conversion from '?' to '?' of greater size */
#endif
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if defined __INTEL_COMPILER
+197 -80
View File
@@ -1,60 +1,8 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#ifndef _ITTNOTIFY_CONFIG_H_
#define _ITTNOTIFY_CONFIG_H_
@@ -75,6 +23,10 @@
# define ITT_OS_FREEBSD 4
#endif /* ITT_OS_FREEBSD */
#ifndef ITT_OS_OPENBSD
# define ITT_OS_OPENBSD 5
#endif /* ITT_OS_OPENBSD */
#ifndef ITT_OS
# if defined WIN32 || defined _WIN32
# define ITT_OS ITT_OS_WIN
@@ -82,6 +34,8 @@
# define ITT_OS ITT_OS_MAC
# elif defined( __FreeBSD__ )
# define ITT_OS ITT_OS_FREEBSD
# elif defined( __OpenBSD__ )
# define ITT_OS ITT_OS_OPENBSD
# else
# define ITT_OS ITT_OS_LINUX
# endif
@@ -103,6 +57,10 @@
# define ITT_PLATFORM_FREEBSD 4
#endif /* ITT_PLATFORM_FREEBSD */
#ifndef ITT_PLATFORM_OPENBSD
# define ITT_PLATFORM_OPENBSD 5
#endif /* ITT_PLATFORM_OPENBSD */
#ifndef ITT_PLATFORM
# if ITT_OS==ITT_OS_WIN
# define ITT_PLATFORM ITT_PLATFORM_WIN
@@ -110,6 +68,8 @@
# define ITT_PLATFORM ITT_PLATFORM_MAC
# elif ITT_OS==ITT_OS_FREEBSD
# define ITT_PLATFORM ITT_PLATFORM_FREEBSD
# elif ITT_OS==ITT_OS_OPENBSD
# define ITT_PLATFORM ITT_PLATFORM_OPENBSD
# else
# define ITT_PLATFORM ITT_PLATFORM_POSIX
# endif
@@ -162,7 +122,12 @@
#if ITT_PLATFORM==ITT_PLATFORM_WIN
/* use __forceinline (VC++ specific) */
#define ITT_INLINE __forceinline
#if defined(__MINGW32__) && !defined(__cplusplus)
#define ITT_INLINE static __inline__ __attribute__((__always_inline__,__gnu_inline__))
#else
#define ITT_INLINE static __forceinline
#endif /* __MINGW32__ */
#define ITT_INLINE_ATTRIBUTE /* nothing */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
/*
@@ -188,6 +153,10 @@
# define ITT_ARCH_IA32E 2
#endif /* ITT_ARCH_IA32E */
#ifndef ITT_ARCH_IA64
# define ITT_ARCH_IA64 3
#endif /* ITT_ARCH_IA64 */
#ifndef ITT_ARCH_ARM
# define ITT_ARCH_ARM 4
#endif /* ITT_ARCH_ARM */
@@ -196,9 +165,9 @@
# define ITT_ARCH_PPC64 5
#endif /* ITT_ARCH_PPC64 */
#ifndef ITT_ARCH_AARCH64 /* 64-bit ARM */
# define ITT_ARCH_AARCH64 6
#endif /* ITT_ARCH_AARCH64 */
#ifndef ITT_ARCH_ARM64
# define ITT_ARCH_ARM64 6
#endif /* ITT_ARCH_ARM64 */
#ifndef ITT_ARCH
# if defined _M_IX86 || defined __i386__
@@ -210,7 +179,7 @@
# elif defined _M_ARM || defined __arm__
# define ITT_ARCH ITT_ARCH_ARM
# elif defined __aarch64__
# define ITT_ARCH ITT_ARCH_AARCH64
# define ITT_ARCH ITT_ARCH_ARM64
# elif defined __powerpc64__
# define ITT_ARCH ITT_ARCH_PPC64
# endif
@@ -239,10 +208,10 @@
#define ITT_MAGIC { 0xED, 0xAB, 0xAB, 0xEC, 0x0D, 0xEE, 0xDA, 0x30 }
/* Replace with snapshot date YYYYMMDD for promotion build. */
#define API_VERSION_BUILD 20151119
#define API_VERSION_BUILD 20250113
#ifndef API_VERSION_NUM
#define API_VERSION_NUM 0.0.0
#define API_VERSION_NUM 3.25.4
#endif /* API_VERSION_NUM */
#define API_VERSION "ITT-API-Version " ITT_TO_STR(API_VERSION_NUM) \
@@ -254,7 +223,11 @@
typedef HMODULE lib_t;
typedef DWORD TIDT;
typedef CRITICAL_SECTION mutex_t;
#ifdef __cplusplus
#define MUTEX_INITIALIZER {}
#else
#define MUTEX_INITIALIZER { 0 }
#endif
#define strong_alias(name, aliasname) /* empty for Windows */
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#include <dlfcn.h>
@@ -282,13 +255,13 @@ typedef pthread_mutex_t mutex_t;
#define __itt_mutex_init(mutex) InitializeCriticalSection(mutex)
#define __itt_mutex_lock(mutex) EnterCriticalSection(mutex)
#define __itt_mutex_unlock(mutex) LeaveCriticalSection(mutex)
#define __itt_mutex_destroy(mutex) DeleteCriticalSection(mutex)
#define __itt_load_lib(name) LoadLibraryA(name)
#define __itt_unload_lib(handle) FreeLibrary(handle)
#define __itt_system_error() (int)GetLastError()
#define __itt_fstrcmp(s1, s2) lstrcmpA(s1, s2)
#define __itt_fstrnlen(s, l) strnlen_s(s, l)
#define __itt_fstrcpyn(s1, b, s2, l) strncpy_s(s1, b, s2, l)
#define __itt_fstrdup(s) _strdup(s)
#define __itt_thread_id() GetCurrentThreadId()
#define __itt_thread_yield() SwitchToThread()
#ifndef ITT_SIMPLE_INIT
@@ -298,6 +271,13 @@ ITT_INLINE long __itt_interlocked_increment(volatile long* ptr)
{
return InterlockedIncrement(ptr);
}
ITT_INLINE long
__itt_interlocked_compare_exchange(volatile long* ptr, long exchange, long comperand) ITT_INLINE_ATTRIBUTE;
ITT_INLINE long
__itt_interlocked_compare_exchange(volatile long* ptr, long exchange, long comperand)
{
return InterlockedCompareExchange(ptr, exchange, comperand);
}
#endif /* ITT_SIMPLE_INIT */
#define DL_SYMBOLS (1)
@@ -327,6 +307,7 @@ ITT_INLINE long __itt_interlocked_increment(volatile long* ptr)
}
#define __itt_mutex_lock(mutex) pthread_mutex_lock(mutex)
#define __itt_mutex_unlock(mutex) pthread_mutex_unlock(mutex)
#define __itt_mutex_destroy(mutex) pthread_mutex_destroy(mutex)
#define __itt_load_lib(name) dlopen(name, RTLD_LAZY)
#define __itt_unload_lib(handle) dlclose(handle)
#define __itt_system_error() errno
@@ -341,10 +322,18 @@ ITT_INLINE long __itt_interlocked_increment(volatile long* ptr)
#ifdef SDL_STRNCPY_S
#define __itt_fstrcpyn(s1, b, s2, l) SDL_STRNCPY_S(s1, b, s2, l)
#else
#define __itt_fstrcpyn(s1, b, s2, l) strncpy(s1, s2, b)
#define __itt_fstrcpyn(s1, b, s2, l) { \
if (b > 0) { \
/* 'volatile' is used to suppress the warning that a destination */ \
/* bound depends on the length of the source. */ \
volatile size_t num_to_copy = (size_t)(b - 1) < (size_t)(l) ? \
(size_t)(b - 1) : (size_t)(l); \
strncpy(s1, s2, num_to_copy); \
s1[num_to_copy] = 0; \
} \
}
#endif /* SDL_STRNCPY_S */
#define __itt_fstrdup(s) strdup(s)
#define __itt_thread_id() pthread_self()
#define __itt_thread_yield() sched_yield()
#if ITT_ARCH==ITT_ARCH_IA64
@@ -360,12 +349,12 @@ ITT_INLINE long __TBB_machine_fetchadd4(volatile void* ptr, long addend)
{
long result;
__asm__ __volatile__("lock\nxadd %0,%1"
: "=r"(result),"=m"(*(int*)ptr)
: "0"(addend), "m"(*(int*)ptr)
: "=r"(result),"=m"(*(volatile int*)ptr)
: "0"(addend), "m"(*(volatile int*)ptr)
: "memory");
return result;
}
#elif ITT_ARCH==ITT_ARCH_ARM || ITT_ARCH==ITT_ARCH_AARCH64 || ITT_ARCH==ITT_ARCH_PPC64
#else
#define __TBB_machine_fetchadd4(addr, val) __sync_fetch_and_add(addr, val)
#endif /* ITT_ARCH==ITT_ARCH_IA64 */
#ifndef ITT_SIMPLE_INIT
@@ -375,6 +364,13 @@ ITT_INLINE long __itt_interlocked_increment(volatile long* ptr)
{
return __TBB_machine_fetchadd4(ptr, 1) + 1L;
}
ITT_INLINE long
__itt_interlocked_compare_exchange(volatile long* ptr, long exchange, long comperand) ITT_INLINE_ATTRIBUTE;
ITT_INLINE long
__itt_interlocked_compare_exchange(volatile long* ptr, long exchange, long comperand)
{
return __sync_val_compare_and_swap(ptr, exchange, comperand);
}
#endif /* ITT_SIMPLE_INIT */
void* dlopen(const char*, int) __attribute__((weak));
@@ -394,10 +390,20 @@ pthread_t pthread_self(void) __attribute__((weak));
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
typedef enum {
__itt_collection_normal = 0,
__itt_collection_paused = 1
} __itt_collection_state;
/* strdup() is not included into C99 which results in a compiler warning about
* implicitly declared symbol. To avoid the issue strdup is implemented
* manually.
*/
#define ITT_STRDUP_MAX_STRING_SIZE 4096
#define __itt_fstrdup(s, new_s) do { \
if (s != NULL) { \
size_t s_len = __itt_fstrnlen(s, ITT_STRDUP_MAX_STRING_SIZE); \
new_s = (char *)malloc(s_len + 1); \
if (new_s != NULL) { \
__itt_fstrcpyn(new_s, s_len + 1, s, s_len); \
} \
} \
} while(0)
typedef enum {
__itt_thread_normal = 0,
@@ -463,6 +469,10 @@ typedef struct __itt_counter_info
struct ___itt_domain;
struct ___itt_string_handle;
struct ___itt_histogram;
struct ___itt_counter_metadata;
#include "ittnotify.h"
typedef struct ___itt_global
{
@@ -484,7 +494,10 @@ typedef struct ___itt_global
struct ___itt_domain* domain_list;
struct ___itt_string_handle* string_list;
__itt_collection_state state;
__itt_counter_info_t* counter_list;
__itt_counter_info_t* counter_list;
unsigned int ipt_collect_events;
struct ___itt_histogram* histogram_list;
struct ___itt_counter_metadata* counter_metadata_list;
} __itt_global;
#pragma pack(pop)
@@ -510,7 +523,9 @@ typedef struct ___itt_global
h = (__itt_thread_info*)malloc(sizeof(__itt_thread_info)); \
if (h != NULL) { \
h->tid = t; \
h->nameA = n ? __itt_fstrdup(n) : NULL; \
char *n_copy = NULL; \
__itt_fstrdup(n, n_copy); \
h->nameA = n_copy; \
h->nameW = NULL; \
h->state = s; \
h->extra1 = 0; /* reserved */ \
@@ -543,7 +558,9 @@ typedef struct ___itt_global
h = (__itt_domain*)malloc(sizeof(__itt_domain)); \
if (h != NULL) { \
h->flags = 1; /* domain is enabled by default */ \
h->nameA = name ? __itt_fstrdup(name) : NULL; \
char *name_copy = NULL; \
__itt_fstrdup(name, name_copy); \
h->nameA = name_copy; \
h->nameW = NULL; \
h->extra1 = 0; /* reserved */ \
h->extra2 = NULL; /* reserved */ \
@@ -573,7 +590,9 @@ typedef struct ___itt_global
#define NEW_STRING_HANDLE_A(gptr,h,h_tail,name) { \
h = (__itt_string_handle*)malloc(sizeof(__itt_string_handle)); \
if (h != NULL) { \
h->strA = name ? __itt_fstrdup(name) : NULL; \
char *name_copy = NULL; \
__itt_fstrdup(name, name_copy); \
h->strA = name_copy; \
h->strW = NULL; \
h->extra1 = 0; /* reserved */ \
h->extra2 = NULL; /* reserved */ \
@@ -591,7 +610,7 @@ typedef struct ___itt_global
h->nameA = NULL; \
h->nameW = name ? _wcsdup(name) : NULL; \
h->domainA = NULL; \
h->domainW = name ? _wcsdup(domain) : NULL; \
h->domainW = domain ? _wcsdup(domain) : NULL; \
h->type = type; \
h->index = 0; \
h->next = NULL; \
@@ -605,9 +624,13 @@ typedef struct ___itt_global
#define NEW_COUNTER_A(gptr,h,h_tail,name,domain,type) { \
h = (__itt_counter_info_t*)malloc(sizeof(__itt_counter_info_t)); \
if (h != NULL) { \
h->nameA = name ? __itt_fstrdup(name) : NULL; \
char *name_copy = NULL; \
__itt_fstrdup(name, name_copy); \
h->nameA = name_copy; \
h->nameW = NULL; \
h->domainA = domain ? __itt_fstrdup(domain) : NULL; \
char *domain_copy = NULL; \
__itt_fstrdup(domain, domain_copy); \
h->domainA = domain_copy; \
h->domainW = NULL; \
h->type = type; \
h->index = 0; \
@@ -619,4 +642,98 @@ typedef struct ___itt_global
} \
}
#define NEW_HISTOGRAM_W(gptr,h,h_tail,domain,name,x_type,y_type) { \
h = (__itt_histogram*)malloc(sizeof(__itt_histogram)); \
if (h != NULL) { \
h->domain = domain; \
h->nameA = NULL; \
h->nameW = name ? _wcsdup(name) : NULL; \
h->x_type = x_type; \
h->y_type = y_type; \
h->extra1 = 0; \
h->extra2 = NULL; \
h->next = NULL; \
if (h_tail == NULL) \
(gptr)->histogram_list = h; \
else \
h_tail->next = h; \
} \
}
#define NEW_HISTOGRAM_A(gptr,h,h_tail,domain,name,x_type,y_type) { \
h = (__itt_histogram*)malloc(sizeof(__itt_histogram)); \
if (h != NULL) { \
h->domain = domain; \
char *name_copy = NULL; \
__itt_fstrdup(name, name_copy); \
h->nameA = name_copy; \
h->nameW = NULL; \
h->x_type = x_type; \
h->y_type = y_type; \
h->extra1 = 0; \
h->extra2 = NULL; \
h->next = NULL; \
if (h_tail == NULL) \
(gptr)->histogram_list = h; \
else \
h_tail->next = h; \
} \
}
#define NEW_COUNTER_METADATA_NUM(gptr,h,h_tail,counter,type,value) { \
h = (__itt_counter_metadata*)malloc(sizeof(__itt_counter_metadata)); \
if (h != NULL) { \
h->counter = counter; \
h->type = type; \
h->str_valueA = NULL; \
h->str_valueW = NULL; \
h->value = value; \
h->extra1 = 0; \
h->extra2 = NULL; \
h->next = NULL; \
if (h_tail == NULL) \
(gptr)->counter_metadata_list = h; \
else \
h_tail->next = h; \
} \
}
#define NEW_COUNTER_METADATA_STR_A(gptr,h,h_tail,counter,type,str_valueA) { \
h = (__itt_counter_metadata*)malloc(sizeof(__itt_counter_metadata)); \
if (h != NULL) { \
h->counter = counter; \
h->type = type; \
char *str_value_copy = NULL; \
__itt_fstrdup(str_valueA, str_value_copy); \
h->str_valueA = str_value_copy; \
h->str_valueW = NULL; \
h->value = 0; \
h->extra1 = 0; \
h->extra2 = NULL; \
h->next = NULL; \
if (h_tail == NULL) \
(gptr)->counter_metadata_list = h; \
else \
h_tail->next = h; \
} \
}
#define NEW_COUNTER_METADATA_STR_W(gptr,h,h_tail,counter,type,str_valueW) { \
h = (__itt_counter_metadata*)malloc(sizeof(__itt_counter_metadata)); \
if (h != NULL) { \
h->counter = counter; \
h->type = type; \
h->str_valueA = NULL; \
h->str_valueW = str_valueW ? _wcsdup(str_valueW) : NULL; \
h->value = 0; \
h->extra1 = 0; \
h->extra2 = NULL; \
h->next = NULL; \
if (h_tail == NULL) \
(gptr)->counter_metadata_list = h; \
else \
h_tail->next = h; \
} \
}
#endif /* _ITTNOTIFY_CONFIG_H_ */
File diff suppressed because it is too large Load Diff
+40 -61
View File
@@ -1,60 +1,8 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#include "ittnotify_config.h"
@@ -81,6 +29,9 @@ ITT_STUB(ITTAPI, __itt_domain*, domain_createW, (const wchar_t *name), (ITT_FORM
ITT_STUB(ITTAPI, __itt_domain*, domain_create, (const char *name), (ITT_FORMAT name), domain_create, __itt_group_structure, "\"%s\"")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUBV(ITTAPI, void, module_load_with_sections, (__itt_module_object* module_obj), (ITT_FORMAT module_obj), module_load_with_sections, __itt_group_module, "%p")
ITT_STUBV(ITTAPI, void, module_unload_with_sections, (__itt_module_object* module_obj), (ITT_FORMAT module_obj), module_unload_with_sections, __itt_group_module, "%p")
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_string_handle*, string_handle_createA, (const char *name), (ITT_FORMAT name), string_handle_createA, __itt_group_structure, "\"%s\"")
ITT_STUB(ITTAPI, __itt_string_handle*, string_handle_createW, (const wchar_t *name), (ITT_FORMAT name), string_handle_createW, __itt_group_structure, "\"%S\"")
@@ -105,6 +56,8 @@ ITT_STUB(ITTAPI, __itt_counter, counter_create_typed, (const char *name, con
ITT_STUBV(ITTAPI, void, pause, (void), (ITT_NO_PARAMS), pause, __itt_group_control | __itt_group_legacy, "no args")
ITT_STUBV(ITTAPI, void, resume, (void), (ITT_NO_PARAMS), resume, __itt_group_control | __itt_group_legacy, "no args")
ITT_STUBV(ITTAPI, void, pause_scoped, (__itt_collection_scope scope), (ITT_FORMAT scope), pause_scoped, __itt_group_control, "%d")
ITT_STUBV(ITTAPI, void, resume_scoped, (__itt_collection_scope scope), (ITT_FORMAT scope), resume_scoped, __itt_group_control, "%d")
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUBV(ITTAPI, void, thread_set_nameA, (const char *name), (ITT_FORMAT name), thread_set_nameA, __itt_group_thread, "\"%s\"")
@@ -121,6 +74,23 @@ ITT_STUB(LIBITTAPI, int, thr_name_setW, (const wchar_t *name, int namelen), (IT
ITT_STUB(LIBITTAPI, int, thr_name_set, (const char *name, int namelen), (ITT_FORMAT name, namelen), thr_name_set, __itt_group_thread | __itt_group_legacy, "\"%s\", %d")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUBV(LIBITTAPI, void, thr_ignore, (void), (ITT_NO_PARAMS), thr_ignore, __itt_group_thread | __itt_group_legacy, "no args")
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_histogram*, histogram_createA, (const __itt_domain* domain, const char* name, __itt_metadata_type x_type, __itt_metadata_type y_type), (ITT_FORMAT domain, name, x_type, y_type), histogram_createA, __itt_group_structure, "%p, \"%s\", %d, %d")
ITT_STUB(ITTAPI, __itt_histogram*, histogram_createW, (const __itt_domain* domain, const wchar_t* name, __itt_metadata_type x_type, __itt_metadata_type y_type), (ITT_FORMAT domain, name, x_type, y_type), histogram_createW, __itt_group_structure, "%p, \"%s\", %d, %d")
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_histogram*, histogram_create, (const __itt_domain* domain, const char* name, __itt_metadata_type x_type, __itt_metadata_type y_type), (ITT_FORMAT domain, name, x_type, y_type), histogram_create, __itt_group_structure, "%p, \"%s\", %d, %d")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_counter, counter_createA_v3, (const __itt_domain* domain, const char *name, __itt_metadata_type type), (ITT_FORMAT domain, name, type), counter_createA_v3, __itt_group_counter, "%p, \"%s\", %d")
ITT_STUB(ITTAPI, __itt_counter, counter_createW_v3, (const __itt_domain* domain, const wchar_t *name, __itt_metadata_type type), (ITT_FORMAT domain, name, type), counter_createW_v3, __itt_group_counter, "%p, \"%s\", %d")
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_counter, counter_create_v3, (const __itt_domain* domain, const char *name, __itt_metadata_type type), (ITT_FORMAT domain, name, type), counter_create_v3, __itt_group_counter, "%p, \"%s\", %d")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUBV(ITTAPI, void, bind_context_metadata_to_counter, (__itt_counter counter, size_t length, __itt_context_metadata* metadata), (ITT_FORMAT counter, length, metadata), bind_context_metadata_to_counter, __itt_group_structure, "%p, %lu, %p")
#endif /* __ITT_INTERNAL_BODY */
ITT_STUBV(ITTAPI, void, enable_attach, (void), (ITT_NO_PARAMS), enable_attach, __itt_group_all, "no args")
@@ -296,6 +266,13 @@ ITT_STUB(ITTAPI, __itt_frame, frame_createW, (const wchar_t *domain), (ITT_FORMA
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_frame, frame_create, (const char *domain), (ITT_FORMAT domain), frame_create, __itt_group_frame, "\"%s\"")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUB(ITTAPI, __itt_pt_region, pt_region_createA, (const char *name), (ITT_FORMAT name), pt_region_createA, __itt_group_structure, "\"%s\"")
ITT_STUB(ITTAPI, __itt_pt_region, pt_region_createW, (const wchar_t *name), (ITT_FORMAT name), pt_region_createW, __itt_group_structure, "\"%S\"")
#else /* ITT_PLATFORM!=ITT_PLATFORM_WIN */
ITT_STUB(ITTAPI, __itt_pt_region, pt_region_create, (const char *name), (ITT_FORMAT name), pt_region_create, __itt_group_structure, "\"%s\"")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* __ITT_INTERNAL_BODY */
ITT_STUBV(ITTAPI, void, frame_begin, (__itt_frame frame), (ITT_FORMAT frame), frame_begin, __itt_group_frame, "%p")
ITT_STUBV(ITTAPI, void, frame_end, (__itt_frame frame), (ITT_FORMAT frame), frame_end, __itt_group_frame, "%p")
@@ -376,14 +353,16 @@ ITT_STUB(ITTAPI, int, av_save, (void *data, int rank, const int *dimensions, in
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* __ITT_INTERNAL_BODY */
#ifndef __ITT_INTERNAL_BODY
#if ITT_PLATFORM==ITT_PLATFORM_WIN
ITT_STUBV(ITTAPI, void, module_loadA, (void *start_addr, void* end_addr, const char *path), (ITT_FORMAT start_addr, end_addr, path), module_loadA, __itt_group_none, "%p, %p, %p")
ITT_STUBV(ITTAPI, void, module_loadW, (void *start_addr, void* end_addr, const wchar_t *path), (ITT_FORMAT start_addr, end_addr, path), module_loadW, __itt_group_none, "%p, %p, %p")
ITT_STUBV(ITTAPI, void, module_loadA, (void *start_addr, void* end_addr, const char *path), (ITT_FORMAT start_addr, end_addr, path), module_loadA, __itt_group_module, "%p, %p, %p")
ITT_STUBV(ITTAPI, void, module_loadW, (void *start_addr, void* end_addr, const wchar_t *path), (ITT_FORMAT start_addr, end_addr, path), module_loadW, __itt_group_module, "%p, %p, %p")
#else /* ITT_PLATFORM!=ITT_PLATFORM_WIN */
ITT_STUBV(ITTAPI, void, module_load, (void *start_addr, void *end_addr, const char *path), (ITT_FORMAT start_addr, end_addr, path), module_load, __itt_group_none, "%p, %p, %p")
ITT_STUBV(ITTAPI, void, module_load, (void *start_addr, void *end_addr, const char *path), (ITT_FORMAT start_addr, end_addr, path), module_load, __itt_group_module, "%p, %p, %p")
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#endif /* __ITT_INTERNAL_BODY */
ITT_STUBV(ITTAPI, void, module_unload, (void *start_addr), (ITT_FORMAT start_addr), module_unload, __itt_group_module, "%p")
ITT_STUBV(ITTAPI, void, histogram_submit, (__itt_histogram* hist, size_t length, void* x_data, void* y_data), (ITT_FORMAT hist, length, x_data, y_data), histogram_submit, __itt_group_structure, "%p, %lu, %p, %p")
ITT_STUBV(ITTAPI, void, counter_set_value_v3, (__itt_counter counter, void *value_ptr), (ITT_FORMAT counter, value_ptr), counter_set_value_v3, __itt_group_counter, "%p, %p")
#endif /* __ITT_INTERNAL_INIT */
+25 -75
View File
@@ -1,85 +1,34 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#ifndef _ITTNOTIFY_TYPES_H_
#define _ITTNOTIFY_TYPES_H_
typedef enum ___itt_group_id
{
__itt_group_none = 0,
__itt_group_legacy = 1<<0,
__itt_group_control = 1<<1,
__itt_group_thread = 1<<2,
__itt_group_mark = 1<<3,
__itt_group_sync = 1<<4,
__itt_group_fsync = 1<<5,
__itt_group_jit = 1<<6,
__itt_group_model = 1<<7,
__itt_group_splitter_min = 1<<7,
__itt_group_counter = 1<<8,
__itt_group_frame = 1<<9,
__itt_group_stitch = 1<<10,
__itt_group_heap = 1<<11,
__itt_group_splitter_max = 1<<12,
__itt_group_structure = 1<<12,
__itt_group_suppress = 1<<13,
__itt_group_arrays = 1<<14,
__itt_group_all = -1
__itt_group_none = 0,
__itt_group_legacy = 1<<0,
__itt_group_control = 1<<1,
__itt_group_thread = 1<<2,
__itt_group_mark = 1<<3,
__itt_group_sync = 1<<4,
__itt_group_fsync = 1<<5,
__itt_group_jit = 1<<6,
__itt_group_model = 1<<7,
__itt_group_splitter_min = 1<<7,
__itt_group_counter = 1<<8,
__itt_group_frame = 1<<9,
__itt_group_stitch = 1<<10,
__itt_group_heap = 1<<11,
__itt_group_splitter_max = 1<<12,
__itt_group_structure = 1<<12,
__itt_group_suppress = 1<<13,
__itt_group_arrays = 1<<14,
__itt_group_module = 1<<15,
__itt_group_all = -1
} __itt_group_id;
#pragma pack(push, 8)
@@ -109,6 +58,7 @@ typedef struct ___itt_group_list
{ __itt_group_structure, "structure" }, \
{ __itt_group_suppress, "suppress" }, \
{ __itt_group_arrays, "arrays" }, \
{ __itt_group_module, "module" }, \
{ __itt_group_none, NULL } \
}
+45 -95
View File
@@ -1,76 +1,24 @@
/* <copyright>
This file is provided under a dual BSD/GPLv2 license. When using or
redistributing this file, you may do so under either license.
/*
Copyright (C) 2005-2019 Intel Corporation
GPL LICENSE SUMMARY
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of version 2 of the GNU General Public License as
published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin St - Fifth Floor, Boston, MA 02110-1301 USA.
The full GNU General Public License is included in this distribution
in the file called LICENSE.GPL.
Contact Information:
http://software.intel.com/en-us/articles/intel-vtune-amplifier-xe/
BSD LICENSE
Copyright (c) 2005-2014 Intel Corporation. All rights reserved.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
* Neither the name of Intel Corporation nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
</copyright> */
SPDX-License-Identifier: GPL-2.0-only OR BSD-3-Clause
*/
#include "ittnotify_config.h"
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#include <windows.h>
#include <string.h>
#include <ctype.h>
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
#if ITT_PLATFORM != ITT_PLATFORM_MAC && ITT_PLATFORM != ITT_PLATFORM_FREEBSD
#if ITT_PLATFORM != ITT_PLATFORM_MAC && ITT_PLATFORM != ITT_PLATFORM_FREEBSD && ITT_PLATFORM != ITT_PLATFORM_OPENBSD
#include <malloc.h>
#endif
#include <stdlib.h>
#include "jitprofiling.h"
static const char rcsid[] = "\n@(#) $Revision: 471937 $\n";
#define DLL_ENVIRONMENT_VAR "VS_PROFILER"
static const char rcsid[] = "\n@(#) $Revision$\n";
#ifndef NEW_DLL_ENVIRONMENT_VAR
#if ITT_ARCH==ITT_ARCH_IA32
@@ -81,13 +29,10 @@ static const char rcsid[] = "\n@(#) $Revision: 471937 $\n";
#endif /* NEW_DLL_ENVIRONMENT_VAR */
#if ITT_PLATFORM==ITT_PLATFORM_WIN
#define DEFAULT_DLLNAME "JitPI.dll"
HINSTANCE m_libHandle = NULL;
#elif ITT_PLATFORM==ITT_PLATFORM_MAC
#define DEFAULT_DLLNAME "libJitPI.dylib"
void* m_libHandle = NULL;
#else
#define DEFAULT_DLLNAME "libJitPI.so"
void* m_libHandle = NULL;
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
@@ -169,6 +114,38 @@ ITT_EXTERN_C iJIT_IsProfilingActiveFlags JITAPI iJIT_IsProfilingActive()
return executionMode;
}
#if ITT_PLATFORM == ITT_PLATFORM_WIN
static int isValidAbsolutePath(char *path, size_t maxPathLength)
{
if (path == NULL)
{
return 0;
}
size_t pathLength = strnlen(path, maxPathLength);
if (pathLength == maxPathLength)
{
/* The strnlen() function returns maxPathLength if there is no null terminating
* among the first maxPathLength characters in the string pointed to by path.
*/
return 0;
}
if (pathLength > 2)
{
if (isalpha(path[0]) && path[1] == ':' && path[2] == '\\')
{
return 1;
}
else if (path[0] == '\\' && path[1] == '\\')
{
return 1;
}
}
return 0;
}
#endif
/* This function loads the collector dll and the relevant functions.
* on success: all functions load, iJIT_DLL_is_missing = 0, return value = 1
* on failure: all functions are NULL, iJIT_DLL_is_missing = 1, return value = 0
@@ -212,7 +189,7 @@ static int loadiJIT_Funcs()
{
envret = GetEnvironmentVariableA(NEW_DLL_ENVIRONMENT_VAR,
dllName, dNameLength);
if (envret)
if (envret && isValidAbsolutePath(dllName, dNameLength))
{
/* Try to load the dll from the PATH... */
m_libHandle = LoadLibraryExA(dllName,
@@ -220,30 +197,9 @@ static int loadiJIT_Funcs()
}
free(dllName);
}
} else {
/* Try to use old VS_PROFILER variable */
dNameLength = GetEnvironmentVariableA(DLL_ENVIRONMENT_VAR, NULL, 0);
if (dNameLength)
{
DWORD envret = 0;
dllName = (char*)malloc(sizeof(char) * (dNameLength + 1));
if(dllName != NULL)
{
envret = GetEnvironmentVariableA(DLL_ENVIRONMENT_VAR,
dllName, dNameLength);
if (envret)
{
/* Try to load the dll from the PATH... */
m_libHandle = LoadLibraryA(dllName);
}
free(dllName);
}
}
}
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
dllName = getenv(NEW_DLL_ENVIRONMENT_VAR);
if (!dllName)
dllName = getenv(DLL_ENVIRONMENT_VAR);
#if defined(__ANDROID__) || defined(ANDROID)
if (!dllName)
dllName = ANDROID_JIT_AGENT_PATH;
@@ -251,19 +207,13 @@ static int loadiJIT_Funcs()
if (dllName)
{
/* Try to load the dll from the PATH... */
m_libHandle = dlopen(dllName, RTLD_LAZY);
if (DL_SYMBOLS)
{
m_libHandle = dlopen(dllName, RTLD_LAZY);
}
}
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
if (!m_libHandle)
{
#if ITT_PLATFORM==ITT_PLATFORM_WIN
m_libHandle = LoadLibraryA(DEFAULT_DLLNAME);
#else /* ITT_PLATFORM==ITT_PLATFORM_WIN */
m_libHandle = dlopen(DEFAULT_DLLNAME, RTLD_LAZY);
#endif /* ITT_PLATFORM==ITT_PLATFORM_WIN */
}
/* if the dll wasn't loaded - exit. */
if (!m_libHandle)
{
+1 -1
View File
@@ -889,7 +889,7 @@ int jas_stream_copy(jas_stream_t *out, jas_stream_t *in, int n)
while (all || m > 0) {
if ((c = jas_stream_getc_macro(in)) == EOF) {
/* The next character of input could not be read. */
/* Return with an error if an I/O error occured
/* Return with an error if an I/O error occurred
(not including EOF) or if an explicit copy count
was specified. */
return (!all || jas_stream_error(in)) ? (-1) : 0;
+1 -1
View File
@@ -100,7 +100,7 @@
#define JPC_BITSTREAM_NOCLOSE 0x01
/* End of file has been reached while reading. */
#define JPC_BITSTREAM_EOF 0x02
/* An I/O error has occured. */
/* An I/O error has occurerd. */
#define JPC_BITSTREAM_ERR 0x04
/******************************************************************************\
+163 -28
View File
@@ -1,12 +1,43 @@
project(${JPEG_LIBRARY} C)
ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter -Wsign-compare -Wshorten-64-to-32 -Wimplicit-fallthrough)
macro(boolean_number var)
if(${var})
set(${var} 1 ${ARGN})
else()
set(${var} 0 ${ARGN})
endif()
endmacro()
set(VERSION_MAJOR 2)
set(VERSION_MINOR 1)
set(VERSION_REVISION 2)
set(VERSION ${VERSION_MAJOR}.${VERSION_MINOR}.${VERSION_REVISION})
set(LIBJPEG_TURBO_VERSION_NUMBER 2001002)
ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter -Wsign-compare -Wshorten-64-to-32 -Wimplicit-fallthrough)
if(APPLE)
ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-variable) # NEON flags are not used on Mac
endif()
if(CV_GCC AND NOT CMAKE_CXX_COMPILER_VERSION VERSION_LESS 13)
# src/jchuff.c:1042:22: warning: writing 1 byte into a region of size 0 [-Wstringop-overflow=]
ocv_warnings_disable(CMAKE_C_FLAGS -Wstringop-overflow)
endif()
set(VERSION 3.1.2)
set(COPYRIGHT_YEAR "1991-2025")
string(REPLACE "." ";" VERSION_TRIPLET ${VERSION})
list(GET VERSION_TRIPLET 0 VERSION_MAJOR)
list(GET VERSION_TRIPLET 1 VERSION_MINOR)
list(GET VERSION_TRIPLET 2 VERSION_REVISION)
function(pad_number NUMBER OUTPUT_LEN)
string(LENGTH "${${NUMBER}}" INPUT_LEN)
if(INPUT_LEN LESS OUTPUT_LEN)
math(EXPR ZEROES "${OUTPUT_LEN} - ${INPUT_LEN} - 1")
set(NUM ${${NUMBER}})
foreach(C RANGE ${ZEROES})
set(NUM "0${NUM}")
endforeach()
set(${NUMBER} ${NUM} PARENT_SCOPE)
endif()
endfunction()
pad_number(VERSION_MINOR 3)
pad_number(VERSION_REVISION 3)
set(LIBJPEG_TURBO_VERSION_NUMBER ${VERSION_MAJOR}${VERSION_MINOR}${VERSION_REVISION})
string(TIMESTAMP BUILD "opencv-${OPENCV_VERSION}-libjpeg-turbo")
if(CMAKE_BUILD_TYPE STREQUAL "Debug")
@@ -15,15 +46,59 @@ endif()
message(STATUS "libjpeg-turbo: VERSION = ${VERSION}, BUILD = ${BUILD}")
math(EXPR BITS "${CMAKE_SIZEOF_VOID_P} * 8")
string(TOLOWER "${CMAKE_SYSTEM_PROCESSOR}" CMAKE_SYSTEM_PROCESSOR_LC)
if(CMAKE_SYSTEM_PROCESSOR_LC MATCHES "x86_64" OR
CMAKE_SYSTEM_PROCESSOR_LC MATCHES "amd64" OR
CMAKE_SYSTEM_PROCESSOR_LC MATCHES "i[0-9]86" OR
CMAKE_SYSTEM_PROCESSOR_LC MATCHES "x86" OR
CMAKE_SYSTEM_PROCESSOR_LC MATCHES "ia32")
if(BITS EQUAL 64 OR CMAKE_C_COMPILER_ABI MATCHES "ELF X32")
set(CPU_TYPE x86_64)
else()
set(CPU_TYPE i386)
endif()
if(NOT CMAKE_SYSTEM_PROCESSOR STREQUAL ${CPU_TYPE})
set(CMAKE_SYSTEM_PROCESSOR ${CPU_TYPE})
endif()
elseif(CMAKE_SYSTEM_PROCESSOR_LC STREQUAL "aarch64" OR
CMAKE_SYSTEM_PROCESSOR_LC MATCHES "^arm")
if(BITS EQUAL 64)
set(CPU_TYPE arm64)
else()
set(CPU_TYPE arm)
endif()
elseif(CMAKE_SYSTEM_PROCESSOR_LC MATCHES "^ppc" OR
CMAKE_SYSTEM_PROCESSOR_LC MATCHES "^powerpc")
set(CPU_TYPE powerpc)
else()
set(CPU_TYPE ${CMAKE_SYSTEM_PROCESSOR_LC})
endif()
if(CMAKE_OSX_ARCHITECTURES MATCHES "x86_64" OR
CMAKE_OSX_ARCHITECTURES MATCHES "arm64" OR
CMAKE_OSX_ARCHITECTURES MATCHES "i386")
set(CPU_TYPE ${CMAKE_OSX_ARCHITECTURES})
endif()
if(CMAKE_OSX_ARCHITECTURES MATCHES "ppc")
set(CPU_TYPE powerpc)
endif()
if(MSVC_IDE AND CMAKE_GENERATOR_PLATFORM MATCHES "arm64")
set(CPU_TYPE arm64)
endif()
OCV_OPTION(ENABLE_LIBJPEG_TURBO_SIMD "Include SIMD extensions for libjpeg-turbo, if available for this platform" (NOT CV_DISABLE_OPTIMIZATION))
option(WITH_ARITH_ENC "Include arithmetic encoding support when emulating the libjpeg v6b API/ABI" TRUE)
option(WITH_ARITH_DEC "Include arithmetic decoding support when emulating the libjpeg v6b API/ABI" TRUE)
set(WITH_SIMD 1)
set(HAVE_LIBJPEG_TURBO_SIMD 0 PARENT_SCOPE)
include(CheckCSourceCompiles)
include(CheckIncludeFiles)
include(CheckTypeSize)
check_type_size("size_t" SIZEOF_SIZE_T)
check_type_size("unsigned long" SIZEOF_UNSIGNED_LONG)
check_type_size("size_t" SIZE_T)
check_type_size("unsigned long" UNSIGNED_LONG)
if(SIZEOF_SIZE_T EQUAL SIZEOF_UNSIGNED_LONG)
check_c_source_compiles("int main(int argc, char **argv) { unsigned long a = argc; return __builtin_ctzl(a); }"
@@ -59,34 +134,34 @@ if(WITH_ARITH_DEC)
set(D_ARITH_CODING_SUPPORTED 1)
endif()
set(JPEG_LIB_VERSION 62)
set(JPEG_LIB_VERSION 70)
# OpenCV
set(JPEG_LIB_VERSION "${VERSION}-${JPEG_LIB_VERSION}" PARENT_SCOPE)
set(THREAD_LOCAL "") # WITH_TURBOJPEG is not used
add_definitions(-DNO_GETENV -DNO_PUTENV)
if(MSVC)
add_definitions(-W3 -wd4996 -wd4018)
endif()
if(WIN32)
configure_file(jconfig.h.win.in jconfig.h)
else()
configure_file(jconfig.h.in jconfig.h)
endif()
configure_file(jconfigint.h.in jconfigint.h)
include_directories(${CMAKE_CURRENT_BINARY_DIR} ${CMAKE_CURRENT_SOURCE_DIR}/src)
set(JPEG_SOURCES
jcapimin.c jcapistd.c jccoefct.c jccolor.c jcdctmgr.c jchuff.c jcicc.c
jcinit.c jcmainct.c jcmarker.c jcmaster.c jcomapi.c jcparam.c jcphuff.c
jcprepct.c jcsample.c jctrans.c jdapimin.c jdapistd.c jdatadst.c jdatasrc.c
jdcoefct.c jdcolor.c jddctmgr.c jdhuff.c jdicc.c jdinput.c jdmainct.c jdmarker.c
jdmaster.c jdmerge.c jdphuff.c jdpostct.c jdsample.c jdtrans.c jerror.c
jfdctflt.c jfdctfst.c jfdctint.c jidctflt.c jidctfst.c jidctint.c jidctred.c
jquant1.c jquant2.c jutils.c jmemmgr.c jmemnobs.c)
set(JPEG16_SOURCES jcapistd.c jccolor.c jcdiffct.c jclossls.c jcmainct.c
jcprepct.c jcsample.c jdapistd.c jdcolor.c jddiffct.c jdlossls.c jdmainct.c
jdpostct.c jdsample.c jutils.c)
set(JPEG12_SOURCES ${JPEG16_SOURCES} jccoefct.c jcdctmgr.c jdcoefct.c
jddctmgr.c jdmerge.c jfdctfst.c jfdctint.c jidctflt.c jidctfst.c jidctint.c
jidctred.c jquant1.c jquant2.c)
set(JPEG_SOURCES ${JPEG12_SOURCES} jcapimin.c jchuff.c jcicc.c jcinit.c
jclhuff.c jcmarker.c jcmaster.c jcomapi.c jcparam.c jcphuff.c jctrans.c
jdapimin.c jdatadst.c jdatasrc.c jdhuff.c jdicc.c jdinput.c jdlhuff.c
jdmarker.c jdmaster.c jdphuff.c jdtrans.c jerror.c jfdctflt.c jmemmgr.c
jmemnobs.c jpeg_nbits.c)
if(WITH_ARITH_ENC OR WITH_ARITH_DEC)
set(JPEG_SOURCES ${JPEG_SOURCES} jaricom.c)
@@ -100,12 +175,70 @@ if(WITH_ARITH_DEC)
set(JPEG_SOURCES ${JPEG_SOURCES} jdarith.c)
endif()
# No SIMD
set(JPEG_SOURCES ${JPEG_SOURCES} jsimd_none.c)
if(CMAKE_COMPILER_IS_GNUCC OR CMAKE_C_COMPILER_ID MATCHES "Clang")
# Use the maximum optimization level for release builds
foreach(var CMAKE_C_FLAGS_RELEASE CMAKE_C_FLAGS_RELWITHDEBINFO)
if(${var} MATCHES "-O2")
string(REGEX REPLACE "-O2" "-O3" ${var} "${${var}}")
endif()
endforeach()
endif()
if(CMAKE_SYSTEM_NAME STREQUAL "SunOS")
if(CMAKE_C_COMPILER_ID MATCHES "SunPro")
# Use the maximum optimization level for release builds
foreach(var CMAKE_C_FLAGS_RELEASE CMAKE_C_FLAGS_RELWITHDEBINFO)
if(${var} MATCHES "-xO3")
string(REGEX REPLACE "-xO3" "-xO5" ${var} "${${var}}")
endif()
if(${var} MATCHES "-xO2")
string(REGEX REPLACE "-xO2" "-xO5" ${var} "${${var}}")
endif()
endforeach()
endif()
endif()
include(CheckTypeSize)
check_type_size("size_t" SIZE_T)
check_type_size("unsigned long" UNSIGNED_LONG)
if(ENABLE_LIBJPEG_TURBO_SIMD)
add_subdirectory(simd)
if(NEON_INTRINSICS)
add_definitions(-DNEON_INTRINSICS)
endif()
else()
set(WITH_SIMD 0)
endif()
if(WITH_SIMD)
message(STATUS "SIMD extensions: ${CPU_TYPE} (WITH_SIMD = ${WITH_SIMD})")
set(HAVE_LIBJPEG_TURBO_SIMD 1 PARENT_SCOPE)
if(MSVC_IDE OR XCODE)
set_source_files_properties(${SIMD_OBJS} PROPERTIES GENERATED 1)
endif()
set(SIMD_TARGET_OBJECTS $<TARGET_OBJECTS:simd>)
endif()
configure_file(jversion.h.in jversion.h)
configure_file(jconfig.h.in jconfig.h)
configure_file(jconfigint.h.in jconfigint.h)
ocv_list_add_prefix(JPEG16_SOURCES src/)
ocv_list_add_prefix(JPEG12_SOURCES src/)
ocv_list_add_prefix(JPEG_SOURCES src/)
add_library(${JPEG_LIBRARY} STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} ${JPEG_SOURCES} ${SIMD_OBJS})
set(JPEG_SOURCES ${JPEG_SOURCES} ${SIMD_OBJS})
add_library(jpeg12-static OBJECT ${JPEG12_SOURCES})
set_property(TARGET jpeg12-static PROPERTY COMPILE_FLAGS
"-DBITS_IN_JSAMPLE=12")
add_library(jpeg16-static OBJECT ${JPEG16_SOURCES})
set_property(TARGET jpeg16-static PROPERTY COMPILE_FLAGS
"-DBITS_IN_JSAMPLE=16")
add_library(${JPEG_LIBRARY} STATIC ${JPEG_SOURCES} ${SIMD_TARGET_OBJECTS}
${SIMD_OBJS} $<TARGET_OBJECTS:jpeg12-static>
$<TARGET_OBJECTS:jpeg16-static>)
set_target_properties(${JPEG_LIBRARY}
PROPERTIES OUTPUT_NAME ${JPEG_LIBRARY}
@@ -116,7 +249,9 @@ set_target_properties(${JPEG_LIBRARY}
)
if(ENABLE_SOLUTION_FOLDERS)
set_target_properties(${JPEG_LIBRARY} PROPERTIES FOLDER "3rdparty")
set_target_properties(${JPEG_LIBRARY} PROPERTIES FOLDER "3rdparty/jpeg")
set_target_properties(jpeg12-static PROPERTIES FOLDER "3rdparty/jpeg")
set_target_properties(jpeg16-static PROPERTIES FOLDER "3rdparty/jpeg")
endif()
if(NOT BUILD_SHARED_LIBS)
+18 -15
View File
@@ -1,30 +1,33 @@
libjpeg-turbo Licenses
======================
libjpeg-turbo is covered by three compatible BSD-style open source licenses:
libjpeg-turbo is covered by two compatible BSD-style open source licenses:
- The IJG (Independent JPEG Group) License, which is listed in
[README.ijg](README.ijg)
This license applies to the libjpeg API library and associated programs
(any code inherited from libjpeg, and any modifications to that code.)
This license applies to the libjpeg API library and associated programs,
including any code inherited from libjpeg and any modifications to that
code. Note that the libjpeg-turbo SIMD source code bears the
[zlib License](https://opensource.org/licenses/Zlib), but in the context of
the overall libjpeg API library, the terms of the zlib License are subsumed
by the terms of the IJG License.
- The Modified (3-clause) BSD License, which is listed below
This license covers the TurboJPEG API library and associated programs, as
well as the build system.
- The [zlib License](https://opensource.org/licenses/Zlib)
This license is a subset of the other two, and it covers the libjpeg-turbo
SIMD extensions.
This license applies to the TurboJPEG API library and associated programs, as
well as the build system. Note that the TurboJPEG API library wraps the
libjpeg API library, so in the context of the overall TurboJPEG API library,
both the terms of the IJG License and the terms of the Modified (3-clause)
BSD License apply.
Complying with the libjpeg-turbo Licenses
=========================================
This section provides a roll-up of the libjpeg-turbo licensing terms, to the
best of our understanding.
best of our understanding. This is not a license in and of itself. It is
intended solely for clarification.
1. If you are distributing a modified version of the libjpeg-turbo source,
then:
@@ -38,7 +41,7 @@ best of our understanding.
- Clauses 1 and 3 of the zlib License
2. You must add your own copyright notice to the header of each source
file you modified, so others can tell that you modified that file (if
file you modified, so others can tell that you modified that file. (If
there is not an existing copyright header in that file, then you can
simply add a notice stating that you modified the file.)
@@ -91,7 +94,7 @@ best of our understanding.
The Modified (3-clause) BSD License
===================================
Copyright (C)2009-2021 D. R. Commander. All Rights Reserved.<br>
Copyright (C)2009-2024 D. R. Commander. All Rights Reserved.<br>
Copyright (C)2015 Viktor Szathmáry. All Rights Reserved.
Redistribution and use in source and binary forms, with or without
@@ -119,8 +122,8 @@ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
Why Three Licenses?
===================
Why Two Licenses?
=================
The zlib License could have been used instead of the Modified (3-clause) BSD
License, and since the IJG License effectively subsumes the distribution
+25 -23
View File
@@ -36,16 +36,18 @@ TO DO Plans for future IJG releases.
Other documentation files in the distribution are:
User documentation:
usage.txt Usage instructions for cjpeg, djpeg, jpegtran,
rdjpgcom, and wrjpgcom.
*.1 Unix-style man pages for programs (same info as usage.txt).
wizard.txt Advanced usage instructions for JPEG wizards only.
change.log Version-to-version change highlights.
doc/usage.txt Usage instructions for cjpeg, djpeg, jpegtran,
rdjpgcom, and wrjpgcom.
doc/*.1 Unix-style man pages for programs (same info as
usage.txt).
doc/wizard.txt Advanced usage instructions for JPEG wizards only.
doc/change.log Version-to-version change highlights.
Programmer and internal documentation:
libjpeg.txt How to use the JPEG library in your own programs.
example.txt Sample code for calling the JPEG library.
structure.txt Overview of the JPEG library's internal structure.
coderules.txt Coding style rules --- please read if you contribute code.
doc/libjpeg.txt How to use the JPEG library in your own programs.
src/example.c Sample code for calling the JPEG library.
doc/structure.txt Overview of the JPEG library's internal structure.
doc/coderules.txt Coding style rules --- please read if you contribute
code.
Please read at least usage.txt. Some information can also be found in the JPEG
FAQ (Frequently Asked Questions) article. See ARCHIVE LOCATIONS below to find
@@ -68,17 +70,17 @@ other abrupt features may not compress well with JPEG, and a higher JPEG
quality may have to be used to avoid visible compression artifacts with such
images.
JPEG is lossy, meaning that the output pixels are not necessarily identical to
the input pixels. However, on photographic content and other "smooth" images,
very good compression ratios can be obtained with no visible compression
artifacts, and extremely high compression ratios are possible if you are
willing to sacrifice image quality (by reducing the "quality" setting in the
compressor.)
JPEG is normally lossy, meaning that the output pixels are not necessarily
identical to the input pixels. However, on photographic content and other
"smooth" images, very good compression ratios can be obtained with no visible
compression artifacts, and extremely high compression ratios are possible if
you are willing to sacrifice image quality (by reducing the "quality" setting
in the compressor.)
This software implements JPEG baseline, extended-sequential, and progressive
compression processes. Provision is made for supporting all variants of these
processes, although some uncommon parameter settings aren't implemented yet.
We have made no provision for supporting the hierarchical or lossless
This software implements JPEG baseline, extended-sequential, progressive, and
lossless compression processes. Provision is made for supporting all variants
of these processes, although some uncommon parameter settings aren't
implemented yet. We have made no provision for supporting the hierarchical
processes defined in the standard.
We provide a set of library routines for reading and writing JPEG image files,
@@ -89,9 +91,9 @@ The library is intended to be reused in other applications.
In order to support file conversion and viewing software, we have included
considerable functionality beyond the bare JPEG coding/decoding capability;
for example, the color quantization modules are not strictly part of JPEG
decoding, but they are essential for output to colormapped file formats or
colormapped displays. These extra functions can be compiled out of the
library if not required for a particular application.
decoding, but they are essential for output to colormapped file formats. These
extra functions can be compiled out of the library if not required for a
particular application.
We have also included "jpegtran", a utility for lossless transcoding between
different JPEG processes, and "rdjpgcom" and "wrjpgcom", two simple
@@ -241,7 +243,7 @@ This software implements ITU T.81 | ISO/IEC 10918 with some extensions from
ITU T.871 | ISO/IEC 10918-5 (JPEG File Interchange Format-- see REFERENCES).
Informally, the term "JPEG image" or "JPEG file" most often refers to JFIF or
a subset thereof, but there are other formats containing the name "JPEG" that
are incompatible with the DCT-based JPEG standard or with JFIF (for instance,
are incompatible with the original JPEG standard or with JFIF (for instance,
JPEG 2000 and JPEG XR). This software therefore does not support these
formats. Indeed, one of the original reasons for developing this free software
was to help force convergence on a common, interoperable format standard for
+59 -41
View File
@@ -21,7 +21,26 @@ derivative of libjpeg v6b developed by Miyasaka Masaru. The TigerVNC and
VirtualGL projects made numerous enhancements to the codec in 2009, and in
early 2010, libjpeg-turbo spun off into an independent project, with the goal
of making high-speed JPEG compression/decompression technology available to a
broader range of users and developers.
broader range of users and developers. libjpeg-turbo is an ISO/IEC and ITU-T
reference implementation of the JPEG standard.
More information about libjpeg-turbo can be found at
<https://libjpeg-turbo.org>.
Funding
=======
libjpeg-turbo is an independent open source project, but we rely on patronage
and funded development in order to maintain that independence. The easiest way
to ensure that libjpeg-turbo remains community-focused and free of any one
organization's agenda is to
[sponsor our project through GitHub](https://github.com/sponsors/libjpeg-turbo).
All sponsorship money goes directly toward funding the labor necessary to
maintain libjpeg-turbo, support the user community, and implement bug fixes and
strategically important features.
[![Sponsor libjpeg-turbo](https://img.shields.io/github/sponsors/libjpeg-turbo?label=Sponsor&logo=GitHub)](https://github.com/sponsors/libjpeg-turbo)
License
@@ -50,9 +69,12 @@ JPEG images:
generating planar YUV images and performing multiple simultaneous lossless
transforms on an image. The Java interface for libjpeg-turbo is written on
top of the TurboJPEG API. The TurboJPEG API is recommended for first-time
users of libjpeg-turbo. Refer to [tjexample.c](tjexample.c) and
[TJExample.java](java/TJExample.java) for examples of its usage and to
<http://libjpeg-turbo.org/Documentation/Documentation> for API documentation.
users of libjpeg-turbo. Refer to [tjcomp.c](src/tjcomp.c),
[tjdecomp.c](src/tjdecomp.c), [tjtran.c](src/tjtran.c),
[TJComp.java](java/TJComp.java), [TJDecomp.java](java/TJDecomp.java), and
[TJTran.java](java/TJTran.java) for examples of its usage and to
<https://libjpeg-turbo.org/Documentation/Documentation> for API
documentation.
- **libjpeg API**<br>
This is the de facto industry-standard API for compressing and decompressing
@@ -60,8 +82,9 @@ JPEG images:
more powerful. The libjpeg API implementation in libjpeg-turbo is both
API/ABI-compatible and mathematically compatible with libjpeg v6b. It can
also optionally be configured to be API/ABI-compatible with libjpeg v7 and v8
(see below.) Refer to [cjpeg.c](cjpeg.c) and [djpeg.c](djpeg.c) for examples
of its usage and to [libjpeg.txt](libjpeg.txt) for API documentation.
(see below.) Refer to [cjpeg.c](src/cjpeg.c) and [djpeg.c](src/djpeg.c) for
examples of its usage and to [libjpeg.txt](doc/libjpeg.txt) for API
documentation.
There is no significant performance advantage to either API when both are used
to perform similar operations.
@@ -113,9 +136,9 @@ extensions at compile time with:
#ifdef JCS_ALPHA_EXTENSIONS
[jcstest.c](jcstest.c), located in the libjpeg-turbo source tree, demonstrates
how to check for the existence of the colorspace extensions at compile time and
run time.
[jcstest.c](src/jcstest.c), located in the libjpeg-turbo source tree,
demonstrates how to check for the existence of the colorspace extensions at
compile time and run time.
libjpeg v7 and v8 API/ABI Emulation
-----------------------------------
@@ -180,7 +203,7 @@ supported and which aren't.
NOTE: As of this writing, extensive research has been conducted into the
usefulness of DCT scaling as a means of data reduction and SmartScale as a
means of quality improvement. Readers are invited to peruse the research at
<http://www.libjpeg-turbo.org/About/SmartScale> and draw their own conclusions,
<https://libjpeg-turbo.org/About/SmartScale> and draw their own conclusions,
but it is the general belief of our project that these features have not
demonstrated sufficient usefulness to justify inclusion in libjpeg-turbo.
@@ -245,16 +268,6 @@ programs that need them, without breaking ABI compatibility for programs that
don't, and it allows those functions to be provided in the "official"
libjpeg-turbo binaries.
Those who are concerned about maintaining strict conformance with the libjpeg
v6b or v7 API can pass an argument of `-DWITH_MEM_SRCDST=0` to `cmake` prior to
building libjpeg-turbo. This will restore the pre-1.3 behavior, in which
`jpeg_mem_src()` and `jpeg_mem_dest()` are only included when emulating the
libjpeg v8 API/ABI.
On Un*x systems, including the in-memory source/destination managers changes
the dynamic library version from 62.2.0 to 62.3.0 if using libjpeg v6b API/ABI
emulation and from 7.2.0 to 7.3.0 if using libjpeg v7 API/ABI emulation.
Note that, on most Un*x systems, the dynamic linker will not look for a
function in a library until that function is actually used. Thus, if a program
is built against libjpeg-turbo 1.3+ and uses `jpeg_mem_src()` or
@@ -274,30 +287,35 @@ Mathematical Compatibility
==========================
For the most part, libjpeg-turbo should produce identical output to libjpeg
v6b. The one exception to this is when using the floating point DCT/IDCT, in
which case the outputs of libjpeg v6b and libjpeg-turbo can differ for the
following reasons:
v6b. There are two exceptions:
- The SSE/SSE2 floating point DCT implementation in libjpeg-turbo is ever so
slightly more accurate than the implementation in libjpeg v6b, but not by
any amount perceptible to human vision (generally in the range of 0.01 to
0.08 dB gain in PNSR.)
1. When decompressing a JPEG image that uses 4:4:0 chrominance subsampling, the
outputs of libjpeg v6b and libjpeg-turbo can differ because libjpeg-turbo
implements a "fancy" (smooth) 4:4:0 upsampling algorithm and libjpeg did not.
- When not using the SIMD extensions, libjpeg-turbo uses the more accurate
(and slightly faster) floating point IDCT algorithm introduced in libjpeg
v8a as opposed to the algorithm used in libjpeg v6b. It should be noted,
however, that this algorithm basically brings the accuracy of the floating
point IDCT in line with the accuracy of the accurate integer IDCT. The
floating point DCT/IDCT algorithms are mainly a legacy feature, and they do
not produce significantly more accuracy than the accurate integer algorithms
(to put numbers on this, the typical difference in PNSR between the two
algorithms is less than 0.10 dB, whereas changing the quality level by 1 in
the upper range of the quality scale is typically more like a 1.0 dB
difference.)
2. When using the floating point DCT/IDCT, the outputs of libjpeg v6b and
libjpeg-turbo can differ for the following reasons:
- If the floating point algorithms in libjpeg-turbo are not implemented using
SIMD instructions on a particular platform, then the accuracy of the
floating point DCT/IDCT can depend on the compiler settings.
- The SSE/SSE2 floating point DCT implementation in libjpeg-turbo is ever
so slightly more accurate than the implementation in libjpeg v6b, but not
by any amount perceptible to human vision (generally in the range of 0.01
to 0.08 dB gain in PNSR.)
- When not using the SIMD extensions, libjpeg-turbo uses the more accurate
(and slightly faster) floating point IDCT algorithm introduced in libjpeg
v8a as opposed to the algorithm used in libjpeg v6b. It should be noted,
however, that this algorithm basically brings the accuracy of the
floating point IDCT in line with the accuracy of the accurate integer
IDCT. The floating point DCT/IDCT algorithms are mainly a legacy
feature, and they do not produce significantly more accuracy than the
accurate integer algorithms. (To put numbers on this, the typical
difference in PNSR between the two algorithms is less than 0.10 dB,
whereas changing the quality level by 1 in the upper range of the quality
scale is typically more like a 1.0 dB difference.)
- If the floating point algorithms in libjpeg-turbo are not implemented
using SIMD instructions on a particular platform, then the accuracy of
the floating point DCT/IDCT can depend on the compiler settings.
While libjpeg-turbo does emulate the libjpeg v8 API/ABI, under the hood it is
still using the same algorithms as libjpeg v6b, so there are several specific
+30 -38
View File
@@ -9,60 +9,52 @@
/* libjpeg-turbo version in integer form */
#define LIBJPEG_TURBO_VERSION_NUMBER @LIBJPEG_TURBO_VERSION_NUMBER@
/* Support arithmetic encoding */
/* Support arithmetic encoding when using 8-bit samples */
#cmakedefine C_ARITH_CODING_SUPPORTED 1
/* Support arithmetic decoding */
/* Support arithmetic decoding when using 8-bit samples */
#cmakedefine D_ARITH_CODING_SUPPORTED 1
/* Support in-memory source/destination managers */
#cmakedefine MEM_SRCDST_SUPPORTED 1
#define MEM_SRCDST_SUPPORTED 1
/* Use accelerated SIMD routines. */
/* Use accelerated SIMD routines when using 8-bit samples */
#cmakedefine WITH_SIMD 1
/*
* Define BITS_IN_JSAMPLE as either
* 8 for 8-bit sample values (the usual setting)
* 12 for 12-bit sample values
* Only 8 and 12 are legal data precisions for lossy JPEG according to the
* JPEG standard, and the IJG code does not support anything else!
* We do not support run-time selection of data precision, sorry.
/* This version of libjpeg-turbo supports run-time selection of data precision,
* so BITS_IN_JSAMPLE is no longer used to specify the data precision at build
* time. However, some downstream software expects the macro to be defined.
* Since 12-bit data precision is an opt-in feature that requires explicitly
* calling 12-bit-specific libjpeg API functions and using 12-bit-specific data
* types, the unmodified portion of the libjpeg API still behaves as if it were
* built for 8-bit precision, and JSAMPLE is still literally an 8-bit data
* type. Thus, it is correct to define BITS_IN_JSAMPLE to 8 here.
*/
#ifndef BITS_IN_JSAMPLE
#define BITS_IN_JSAMPLE 8
#endif
#define BITS_IN_JSAMPLE @BITS_IN_JSAMPLE@ /* use 8 or 12 */
#ifdef _WIN32
/* Define to 1 if you have the <locale.h> header file. */
#cmakedefine HAVE_LOCALE_H 1
#undef RIGHT_SHIFT_IS_UNSIGNED
/* Define to 1 if you have the <stddef.h> header file. */
#cmakedefine HAVE_STDDEF_H 1
/* Define "boolean" as unsigned char, not int, per Windows custom */
#ifndef __RPCNDR_H__ /* don't conflict if rpcndr.h already read */
typedef unsigned char boolean;
#endif
#define HAVE_BOOLEAN /* prevent jmorecfg.h from redefining it */
/* Define to 1 if you have the <stdlib.h> header file. */
#cmakedefine HAVE_STDLIB_H 1
/* Define "INT32" as int, not long, per Windows custom */
#if !(defined(_BASETSD_H_) || defined(_BASETSD_H)) /* don't conflict if basetsd.h already read */
typedef short INT16;
typedef signed int INT32;
#endif
#define XMD_H /* prevent jmorecfg.h from redefining it */
/* Define if you need to include <sys/types.h> to get size_t. */
#cmakedefine NEED_SYS_TYPES_H 1
/* Define if you have BSD-like bzero and bcopy in <strings.h> rather than
memset/memcpy in <string.h>. */
#cmakedefine NEED_BSD_STRINGS 1
/* Define to 1 if the system has the type `unsigned char'. */
#cmakedefine HAVE_UNSIGNED_CHAR 1
/* Define to 1 if the system has the type `unsigned short'. */
#cmakedefine HAVE_UNSIGNED_SHORT 1
/* Compiler does not support pointers to undefined structures. */
#cmakedefine INCOMPLETE_TYPES_BROKEN 1
#else
/* Define if your (broken) compiler shifts signed values as if they were
unsigned. */
#cmakedefine RIGHT_SHIFT_IS_UNSIGNED 1
/* Define to empty if `const' does not conform to ANSI C. */
/* #undef const */
/* Define to `unsigned int' if <sys/types.h> does not define. */
/* #undef size_t */
#endif
-33
View File
@@ -1,33 +0,0 @@
#define JPEG_LIB_VERSION @JPEG_LIB_VERSION@
#define LIBJPEG_TURBO_VERSION @VERSION@
#define LIBJPEG_TURBO_VERSION_NUMBER @LIBJPEG_TURBO_VERSION_NUMBER@
#cmakedefine C_ARITH_CODING_SUPPORTED
#cmakedefine D_ARITH_CODING_SUPPORTED
#cmakedefine MEM_SRCDST_SUPPORTED
#cmakedefine WITH_SIMD
#define BITS_IN_JSAMPLE @BITS_IN_JSAMPLE@ /* use 8 or 12 */
#define HAVE_STDDEF_H
#define HAVE_STDLIB_H
#undef NEED_SYS_TYPES_H
#undef NEED_BSD_STRINGS
#define HAVE_UNSIGNED_CHAR
#define HAVE_UNSIGNED_SHORT
#undef INCOMPLETE_TYPES_BROKEN
#undef RIGHT_SHIFT_IS_UNSIGNED
/* Define "boolean" as unsigned char, not int, per Windows custom */
#ifndef __RPCNDR_H__ /* don't conflict if rpcndr.h already read */
typedef unsigned char boolean;
#endif
#define HAVE_BOOLEAN /* prevent jmorecfg.h from redefining it */
/* Define "INT32" as int, not long, per Windows custom */
#if !(defined(_BASETSD_H_) || defined(_BASETSD_H)) /* don't conflict if basetsd.h already read */
typedef short INT16;
typedef signed int INT32;
#endif
#define XMD_H /* prevent jmorecfg.h from redefining it */
+34 -10
View File
@@ -1,19 +1,14 @@
/* libjpeg-turbo build number */
#define BUILD "@BUILD@"
/* How to hide global symbols. */
#define HIDDEN @HIDDEN@
/* Compiler's inline keyword */
#undef inline
/* How to obtain function inlining. */
#ifndef INLINE
#if defined(__GNUC__)
#define INLINE inline __attribute__((always_inline))
#elif defined(_MSC_VER)
#define INLINE __forceinline
#else
#define INLINE
#endif
#endif
#define INLINE @INLINE@
/* How to obtain thread-local storage */
#define THREAD_LOCAL @THREAD_LOCAL@
@@ -25,7 +20,7 @@
#define VERSION "@VERSION@"
/* The size of `size_t', as computed by sizeof. */
#define SIZEOF_SIZE_T @SIZEOF_SIZE_T@
#define SIZEOF_SIZE_T @SIZE_T@
/* Define if your compiler has __builtin_ctzl() and sizeof(unsigned long) == sizeof(size_t). */
#cmakedefine HAVE_BUILTIN_CTZL
@@ -50,3 +45,32 @@
#else
#define FALLTHROUGH
#endif
/*
* Define BITS_IN_JSAMPLE as either
* 8 for 8-bit sample values (the usual setting)
* 12 for 12-bit sample values
* Only 8 and 12 are legal data precisions for lossy JPEG according to the
* JPEG standard, and the IJG code does not support anything else!
*/
#ifndef BITS_IN_JSAMPLE
#define BITS_IN_JSAMPLE 8 /* use 8 or 12 */
#endif
#undef C_ARITH_CODING_SUPPORTED
#undef D_ARITH_CODING_SUPPORTED
#undef WITH_SIMD
#if BITS_IN_JSAMPLE == 8
/* Support arithmetic encoding */
#cmakedefine C_ARITH_CODING_SUPPORTED 1
/* Support arithmetic decoding */
#cmakedefine D_ARITH_CODING_SUPPORTED 1
/* Use accelerated SIMD routines. */
#cmakedefine WITH_SIMD 1
#endif
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-2020, Thomas G. Lane, Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2010, 2012-2021, D. R. Commander.
* Copyright (C) 2010, 2012-2024, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -36,19 +36,21 @@
* their code
*/
#define JCOPYRIGHT \
"Copyright (C) 2009-2021 D. R. Commander\n" \
#define JCOPYRIGHT1 \
"Copyright (C) 2009-2024 D. R. Commander\n" \
"Copyright (C) 2015, 2020 Google, Inc.\n" \
"Copyright (C) 2019-2020 Arm Limited\n" \
"Copyright (C) 2015-2016, 2018 Matthieu Darbois\n" \
"Copyright (C) 2011-2016 Siarhei Siamashka\n" \
"Copyright (C) 2015 Intel Corporation\n" \
"Copyright (C) 2015 Intel Corporation\n"
#define JCOPYRIGHT2 \
"Copyright (C) 2013-2014 Linaro Limited\n" \
"Copyright (C) 2013-2014 MIPS Technologies, Inc.\n" \
"Copyright (C) 2009, 2012 Pierre Ossman for Cendio AB\n" \
"Copyright (C) 2009-2011 Nokia Corporation and/or its subsidiary(-ies)\n" \
"Copyright (C) 1999-2006 MIYASAKA Masaru\n" \
"Copyright (C) 1991-2020 Thomas G. Lane, Guido Vollbeding"
"Copyright (C) 1999 Ken Murchison\n" \
"Copyright (C) 1991-2020 Thomas G. Lane, Guido Vollbeding\n"
#define JCOPYRIGHT_SHORT \
"Copyright (C) 1991-2021 The libjpeg-turbo Project and many others"
"Copyright (C) @COPYRIGHT_YEAR@ The libjpeg-turbo Project and many others"
+544
View File
@@ -0,0 +1,544 @@
macro(simd_fail message)
if(REQUIRE_SIMD)
message(FATAL_ERROR "${message}.")
else()
message(STATUS "${message}. Performance will suffer.")
set(WITH_SIMD 0 PARENT_SCOPE)
endif()
endmacro()
###############################################################################
# x86[-64] (NASM)
###############################################################################
if(CPU_TYPE STREQUAL "x86_64" OR CPU_TYPE STREQUAL "i386")
set(CMAKE_ASM_NASM_FLAGS_DEBUG_INIT "-g")
set(CMAKE_ASM_NASM_FLAGS_RELWITHDEBINFO_INIT "-g")
# Allow the location of the NASM executable to be specified using the ASM_NASM
# environment variable. This should happen automatically, but unfortunately
# enable_language(ASM_NASM) doesn't parse the ASM_NASM environment variable
# until after CMAKE_ASM_NASM_COMPILER has been populated with the results of
# searching for NASM or Yasm in the PATH.
if(NOT DEFINED CMAKE_ASM_NASM_COMPILER AND DEFINED ENV{ASM_NASM})
set(CMAKE_ASM_NASM_COMPILER $ENV{ASM_NASM})
endif()
if(CPU_TYPE STREQUAL "x86_64")
if(CYGWIN)
set(CMAKE_ASM_NASM_OBJECT_FORMAT win64)
endif()
if(CMAKE_C_COMPILER_ABI MATCHES "ELF X32")
set(CMAKE_ASM_NASM_OBJECT_FORMAT elfx32)
endif()
elseif(CPU_TYPE STREQUAL "i386")
if(BORLAND)
set(CMAKE_ASM_NASM_OBJECT_FORMAT obj)
elseif(CYGWIN)
set(CMAKE_ASM_NASM_OBJECT_FORMAT win32)
endif()
endif()
if(NOT REQUIRE_SIMD)
include(CheckLanguage)
check_language(ASM_NASM)
if(NOT CMAKE_ASM_NASM_COMPILER)
simd_fail("SIMD extensions disabled: could not find NASM compiler")
return()
endif()
endif()
enable_language(ASM_NASM)
message(STATUS "CMAKE_ASM_NASM_COMPILER = ${CMAKE_ASM_NASM_COMPILER}")
if(CMAKE_ASM_NASM_OBJECT_FORMAT MATCHES "^macho")
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -DMACHO")
elseif(CMAKE_ASM_NASM_OBJECT_FORMAT MATCHES "^elf")
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -DELF")
set(CMAKE_ASM_NASM_DEBUG_FORMAT "dwarf2")
endif()
if(CPU_TYPE STREQUAL "x86_64")
if(WIN32 OR CYGWIN)
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -DWIN64")
endif()
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -D__x86_64__")
elseif(CPU_TYPE STREQUAL "i386")
if(BORLAND)
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -DOBJ32")
elseif(WIN32 OR CYGWIN)
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -DWIN32")
endif()
endif()
message(STATUS "CMAKE_ASM_NASM_OBJECT_FORMAT = ${CMAKE_ASM_NASM_OBJECT_FORMAT}")
if(NOT CMAKE_ASM_NASM_OBJECT_FORMAT)
simd_fail("SIMD extensions disabled: could not determine NASM object format")
return()
endif()
get_filename_component(CMAKE_ASM_NASM_COMPILER_TYPE
"${CMAKE_ASM_NASM_COMPILER}" NAME_WE)
if(CMAKE_ASM_NASM_COMPILER_TYPE MATCHES "yasm")
foreach(var CMAKE_ASM_NASM_FLAGS_DEBUG CMAKE_ASM_NASM_FLAGS_RELWITHDEBINFO)
if(${var} STREQUAL "-g")
if(CMAKE_ASM_NASM_DEBUG_FORMAT)
set_property(CACHE ${var} PROPERTY VALUE "-g ${CMAKE_ASM_NASM_DEBUG_FORMAT}")
else()
set_property(CACHE ${var} PROPERTY VALUE "")
endif()
endif()
endforeach()
endif()
if(NOT WIN32 AND (CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED))
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -DPIC")
endif()
if(CPU_TYPE STREQUAL "x86_64" AND CMAKE_ASM_NASM_OBJECT_FORMAT MATCHES "^elf")
check_c_source_compiles("
#if (__CET__ & 3) == 0
#error \"CET not enabled\"
#endif
int main(void) { return 0; }" HAVE_CET)
if(HAVE_CET)
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -D__CET__")
endif()
endif()
string(TOUPPER ${CMAKE_BUILD_TYPE} CMAKE_BUILD_TYPE_UC)
set(EFFECTIVE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} ${CMAKE_ASM_NASM_FLAGS_${CMAKE_BUILD_TYPE_UC}}")
message(STATUS "CMAKE_ASM_NASM_FLAGS = ${EFFECTIVE_ASM_NASM_FLAGS}")
set(CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS} -I\"${CMAKE_CURRENT_SOURCE_DIR}/nasm/\" -I\"${CMAKE_CURRENT_SOURCE_DIR}/${CPU_TYPE}/\"")
set(GREP grep)
if(CMAKE_SYSTEM_NAME STREQUAL "SunOS")
set(GREP ggrep)
endif()
add_custom_target(jsimdcfg COMMAND
${CMAKE_C_COMPILER} -E -I${CMAKE_BINARY_DIR} -I${CMAKE_CURRENT_BINARY_DIR}
-I${CMAKE_CURRENT_SOURCE_DIR}
${CMAKE_CURRENT_SOURCE_DIR}/nasm/jsimdcfg.inc.h |
${GREP} -E '^[\;%]|^\ %' | sed 's%_cpp_protection_%%' |
sed 's@% define@%define@g' >${CMAKE_CURRENT_SOURCE_DIR}/nasm/jsimdcfg.inc)
if(CPU_TYPE STREQUAL "x86_64")
set(SIMD_SOURCES x86_64/jsimdcpu.asm x86_64/jfdctflt-sse.asm
x86_64/jccolor-sse2.asm x86_64/jcgray-sse2.asm x86_64/jchuff-sse2.asm
x86_64/jcphuff-sse2.asm x86_64/jcsample-sse2.asm x86_64/jdcolor-sse2.asm
x86_64/jdmerge-sse2.asm x86_64/jdsample-sse2.asm x86_64/jfdctfst-sse2.asm
x86_64/jfdctint-sse2.asm x86_64/jidctflt-sse2.asm x86_64/jidctfst-sse2.asm
x86_64/jidctint-sse2.asm x86_64/jidctred-sse2.asm x86_64/jquantf-sse2.asm
x86_64/jquanti-sse2.asm
x86_64/jccolor-avx2.asm x86_64/jcgray-avx2.asm x86_64/jcsample-avx2.asm
x86_64/jdcolor-avx2.asm x86_64/jdmerge-avx2.asm x86_64/jdsample-avx2.asm
x86_64/jfdctint-avx2.asm x86_64/jidctint-avx2.asm x86_64/jquanti-avx2.asm)
else()
set(SIMD_SOURCES i386/jsimdcpu.asm i386/jfdctflt-3dn.asm
i386/jidctflt-3dn.asm i386/jquant-3dn.asm
i386/jccolor-mmx.asm i386/jcgray-mmx.asm i386/jcsample-mmx.asm
i386/jdcolor-mmx.asm i386/jdmerge-mmx.asm i386/jdsample-mmx.asm
i386/jfdctfst-mmx.asm i386/jfdctint-mmx.asm i386/jidctfst-mmx.asm
i386/jidctint-mmx.asm i386/jidctred-mmx.asm i386/jquant-mmx.asm
i386/jfdctflt-sse.asm i386/jidctflt-sse.asm i386/jquant-sse.asm
i386/jccolor-sse2.asm i386/jcgray-sse2.asm i386/jchuff-sse2.asm
i386/jcphuff-sse2.asm i386/jcsample-sse2.asm i386/jdcolor-sse2.asm
i386/jdmerge-sse2.asm i386/jdsample-sse2.asm i386/jfdctfst-sse2.asm
i386/jfdctint-sse2.asm i386/jidctflt-sse2.asm i386/jidctfst-sse2.asm
i386/jidctint-sse2.asm i386/jidctred-sse2.asm i386/jquantf-sse2.asm
i386/jquanti-sse2.asm
i386/jccolor-avx2.asm i386/jcgray-avx2.asm i386/jcsample-avx2.asm
i386/jdcolor-avx2.asm i386/jdmerge-avx2.asm i386/jdsample-avx2.asm
i386/jfdctint-avx2.asm i386/jidctint-avx2.asm i386/jquanti-avx2.asm)
endif()
if(MSVC_IDE)
set(OBJDIR "${CMAKE_CURRENT_BINARY_DIR}/${CMAKE_CFG_INTDIR}")
string(REGEX REPLACE " " ";" CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS}")
elseif(XCODE)
set(OBJDIR "${CMAKE_CURRENT_BINARY_DIR}")
string(REGEX REPLACE " " ";" CMAKE_ASM_NASM_FLAGS "${CMAKE_ASM_NASM_FLAGS}")
endif()
file(GLOB INC_FILES nasm/*.inc)
foreach(file ${SIMD_SOURCES})
set(OBJECT_DEPENDS "")
if(${file} MATCHES jccolor)
string(REGEX REPLACE "jccolor" "jccolext" DEPFILE ${file})
set(OBJECT_DEPENDS ${OBJECT_DEPENDS}
${CMAKE_CURRENT_SOURCE_DIR}/${DEPFILE})
endif()
if(${file} MATCHES jcgray)
string(REGEX REPLACE "jcgray" "jcgryext" DEPFILE ${file})
set(OBJECT_DEPENDS ${OBJECT_DEPENDS}
${CMAKE_CURRENT_SOURCE_DIR}/${DEPFILE})
endif()
if(${file} MATCHES jdcolor)
string(REGEX REPLACE "jdcolor" "jdcolext" DEPFILE ${file})
set(OBJECT_DEPENDS ${OBJECT_DEPENDS}
${CMAKE_CURRENT_SOURCE_DIR}/${DEPFILE})
endif()
if(${file} MATCHES jdmerge)
string(REGEX REPLACE "jdmerge" "jdmrgext" DEPFILE ${file})
set(OBJECT_DEPENDS ${OBJECT_DEPENDS}
${CMAKE_CURRENT_SOURCE_DIR}/${DEPFILE})
endif()
set(OBJECT_DEPENDS ${OBJECT_DEPENDS} ${INC_FILES})
if(MSVC_IDE OR XCODE)
# The CMake Visual Studio generators do not work properly with the ASM_NASM
# language, so we have to go rogue here and use a custom command like we
# did in prior versions of libjpeg-turbo. (This is why we can't have nice
# things.)
string(REGEX REPLACE "${CPU_TYPE}/" "" filename ${file})
set(SIMD_OBJ ${OBJDIR}/${filename}${CMAKE_C_OUTPUT_EXTENSION})
add_custom_command(OUTPUT ${SIMD_OBJ} DEPENDS ${file} ${OBJECT_DEPENDS}
COMMAND ${CMAKE_ASM_NASM_COMPILER} -f${CMAKE_ASM_NASM_OBJECT_FORMAT}
${CMAKE_ASM_NASM_FLAGS} ${CMAKE_CURRENT_SOURCE_DIR}/${file}
-o${SIMD_OBJ})
set(SIMD_OBJS ${SIMD_OBJS} ${SIMD_OBJ})
else()
set_source_files_properties(${file} PROPERTIES OBJECT_DEPENDS
"${OBJECT_DEPENDS}")
endif()
endforeach()
if(MSVC_IDE OR XCODE)
set(SIMD_OBJS ${SIMD_OBJS} PARENT_SCOPE)
add_library(simd OBJECT ${CPU_TYPE}/jsimd.c)
add_custom_target(simd-objs DEPENDS ${SIMD_OBJS})
add_dependencies(simd simd-objs)
set_target_properties(simd PROPERTIES FOLDER "3rdparty/jpeg")
set_target_properties(simd-objs PROPERTIES FOLDER "3rdparty/jpeg")
set_target_properties(jsimdcfg PROPERTIES FOLDER "3rdparty/jpeg")
else()
add_library(simd OBJECT ${SIMD_SOURCES} ${CPU_TYPE}/jsimd.c)
endif()
if(NOT WIN32 AND (CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED))
set_target_properties(simd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# Arm (Intrinsics or GAS)
###############################################################################
elseif(CPU_TYPE STREQUAL "arm64" OR CPU_TYPE STREQUAL "arm")
# If Neon instructions are not explicitly enabled at compile time (e.g. using
# -mfpu=neon) with an AArch32 Linux or Android build, then the AArch32 SIMD
# dispatcher will parse /proc/cpuinfo to determine whether the Neon SIMD
# extensions can be enabled at run time. In order to support all AArch32 CPUs
# using the same code base, i.e. to support run-time FPU and Neon
# auto-detection, it is necessary to compile the scalar C source code using
# -mfloat-abi=soft (which is usually the default) but compile the intrinsics
# implementation of the Neon SIMD extensions using -mfloat-abi=softfp. The
# following test determines whether -mfloat-abi=softfp should be explicitly
# added to the compile flags for the intrinsics implementation of the Neon SIMD
# extensions.
if(BITS EQUAL 32)
check_c_source_compiles("
#if defined(__ARM_NEON__) || (!defined(__linux__) && !defined(ANDROID) && !defined(__ANDROID__))
#error \"Neon run-time auto-detection will not be used\"
#endif
#if __ARM_PCS_VFP == 1
#error \"float ABI = hard\"
#endif
#if __SOFTFP__ != 1
#error \"float ABI = softfp\"
#endif
int main(void) { return 0; }" NEED_SOFTFP_FOR_INTRINSICS)
if(NEED_SOFTFP_FOR_INTRINSICS)
set(SOFTFP_FLAG -mfloat-abi=softfp)
endif()
endif()
if(BITS EQUAL 32)
set(CMAKE_REQUIRED_FLAGS "-mfpu=neon ${SOFTFP_FLAG}")
check_c_source_compiles("
#include <arm_neon.h>
int main(int argc, char **argv) {
uint16x8_t input = vdupq_n_u16((uint16_t)argc);
uint8x8_t output = vmovn_u16(input);
return (int)output[0];
}" HAVE_NEON)
if(NOT HAVE_NEON)
simd_fail("SIMD extensions not available for this architecture")
return()
endif()
endif()
check_c_source_compiles("
#include <arm_neon.h>
int main(int argc, char **argv) {
int16_t input[12];
int16x4x3_t output;
int i;
for (i = 0; i < 12; i++) input[i] = (int16_t)argc;
output = vld1_s16_x3(input);
vst3_s16(input, output);
return (int)input[0];
}" HAVE_VLD1_S16_X3)
check_c_source_compiles("
#include <arm_neon.h>
int main(int argc, char **argv) {
uint16_t input[8];
uint16x4x2_t output;
int i;
for (i = 0; i < 8; i++) input[i] = (uint16_t)argc;
output = vld1_u16_x2(input);
vst2_u16(input, output);
return (int)input[0];
}" HAVE_VLD1_U16_X2)
check_c_source_compiles("
#include <arm_neon.h>
int main(int argc, char **argv) {
uint8_t input[64];
uint8x16x4_t output;
int i;
for (i = 0; i < 64; i++) input[i] = (uint8_t)argc;
output = vld1q_u8_x4(input);
vst4q_u8(input, output);
return (int)input[0];
}" HAVE_VLD1Q_U8_X4)
if(BITS EQUAL 32)
unset(CMAKE_REQUIRED_FLAGS)
endif()
configure_file(arm/neon-compat.h.in arm/neon-compat.h @ONLY)
include_directories(${CMAKE_CURRENT_BINARY_DIR}/arm)
# GCC 11 and earlier and some older versions of Clang do not have a full or
# optimal set of Neon intrinsics, so for performance reasons, when using those
# compilers, we default to using the older GAS implementation of the Neon SIMD
# extensions for certain algorithms. The presence or absence of the three
# intrinsics we tested above is a reasonable proxy for this, except with GCC 10
# and 11.
if((HAVE_VLD1_S16_X3 AND HAVE_VLD1_U16_X2 AND HAVE_VLD1Q_U8_X4 AND
(NOT CMAKE_COMPILER_IS_GNUCC OR
CMAKE_C_COMPILER_VERSION VERSION_EQUAL 12.0.0 OR
CMAKE_C_COMPILER_VERSION VERSION_GREATER 12.0.0)))
set(DEFAULT_NEON_INTRINSICS 1)
else()
set(DEFAULT_NEON_INTRINSICS 0)
endif()
option(NEON_INTRINSICS
"Because GCC (as of this writing) and some older versions of Clang do not have a full or optimal set of Neon intrinsics, for performance reasons, the default when building libjpeg-turbo with those compilers is to continue using the older GAS implementation of the Neon SIMD extensions for certain algorithms. Setting this option forces the full Neon intrinsics implementation to be used with all compilers. Unsetting this option forces the hybrid GAS/intrinsics implementation to be used with all compilers."
${DEFAULT_NEON_INTRINSICS})
if(NOT NEON_INTRINSICS)
enable_language(ASM)
set(CMAKE_ASM_FLAGS "${CMAKE_C_FLAGS} ${CMAKE_ASM_FLAGS}")
# Test whether gas-preprocessor.pl would be needed to build the GAS
# implementation of the Neon SIMD extensions. If so, then automatically
# enable the full Neon intrinsics implementation.
if(CPU_TYPE STREQUAL "arm")
file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/gastest.S "
.text
.fpu neon
.arch armv7a
.object_arch armv4
.arm
pld [r0]
vmovn.u16 d0, q0")
else()
file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/gastest.S "
.text
MYVAR .req x0
movi v0.16b, #100
mov MYVAR, #100
.unreq MYVAR")
endif()
separate_arguments(CMAKE_ASM_FLAGS_SEP UNIX_COMMAND "${CMAKE_ASM_FLAGS}")
execute_process(COMMAND ${CMAKE_ASM_COMPILER} ${CMAKE_ASM_FLAGS_SEP}
-x assembler-with-cpp -c ${CMAKE_CURRENT_BINARY_DIR}/gastest.S
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR} RESULT_VARIABLE RESULT
OUTPUT_VARIABLE OUTPUT ERROR_VARIABLE ERROR)
if(NOT RESULT EQUAL 0)
message(WARNING "GAS appears to be broken. Using the full Neon SIMD intrinsics implementation.")
set(NEON_INTRINSICS 1 CACHE INTERNAL "" FORCE)
endif()
endif()
boolean_number(NEON_INTRINSICS PARENT_SCOPE)
if(NEON_INTRINSICS)
add_definitions(-DNEON_INTRINSICS)
message(STATUS "Use full Neon SIMD intrinsics implementation (NEON_INTRINSICS = ${NEON_INTRINSICS})")
else()
message(STATUS "Use partial Neon SIMD intrinsics implementation (NEON_INTRINSICS = ${NEON_INTRINSICS})")
endif()
set(SIMD_SOURCES arm/jcgray-neon.c arm/jcphuff-neon.c arm/jcsample-neon.c
arm/jdmerge-neon.c arm/jdsample-neon.c arm/jfdctfst-neon.c
arm/jidctred-neon.c arm/jquanti-neon.c)
if(NEON_INTRINSICS)
set(SIMD_SOURCES ${SIMD_SOURCES} arm/jccolor-neon.c arm/jidctint-neon.c)
endif()
if(NEON_INTRINSICS OR BITS EQUAL 64)
set(SIMD_SOURCES ${SIMD_SOURCES} arm/jidctfst-neon.c)
endif()
if(NEON_INTRINSICS OR BITS EQUAL 32)
set(SIMD_SOURCES ${SIMD_SOURCES} arm/aarch${BITS}/jchuff-neon.c
arm/jdcolor-neon.c arm/jfdctint-neon.c)
endif()
if(BITS EQUAL 32)
set_source_files_properties(${SIMD_SOURCES} COMPILE_FLAGS "-mfpu=neon ${SOFTFP_FLAG}")
endif()
if(NOT NEON_INTRINSICS)
string(TOUPPER ${CMAKE_BUILD_TYPE} CMAKE_BUILD_TYPE_UC)
set(EFFECTIVE_ASM_FLAGS "${CMAKE_ASM_FLAGS} ${CMAKE_ASM_FLAGS_${CMAKE_BUILD_TYPE_UC}}")
message(STATUS "CMAKE_ASM_FLAGS = ${EFFECTIVE_ASM_FLAGS}")
set(SIMD_SOURCES ${SIMD_SOURCES} arm/aarch${BITS}/jsimd_neon.S)
endif()
add_library(simd OBJECT ${SIMD_SOURCES} arm/aarch${BITS}/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(simd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# MIPS (GAS)
###############################################################################
elseif(CPU_TYPE STREQUAL "mips" OR CPU_TYPE STREQUAL "mipsel")
enable_language(ASM)
string(TOUPPER ${CMAKE_BUILD_TYPE} CMAKE_BUILD_TYPE_UC)
set(EFFECTIVE_ASM_FLAGS "${CMAKE_ASM_FLAGS} ${CMAKE_ASM_FLAGS_${CMAKE_BUILD_TYPE_UC}}")
message(STATUS "CMAKE_ASM_FLAGS = ${EFFECTIVE_ASM_FLAGS}")
set(CMAKE_REQUIRED_FLAGS -mdspr2)
check_c_source_compiles("
#if !(defined(__mips__) && __mips_isa_rev >= 2)
#error MIPS DSPr2 is currently only available on MIPS32r2 platforms.
#endif
int main(void) {
int c = 0, a = 0, b = 0;
__asm__ __volatile__ (
\"precr.qb.ph %[c], %[a], %[b]\"
: [c] \"=r\" (c)
: [a] \"r\" (a), [b] \"r\" (b)
);
return c;
}" HAVE_DSPR2)
unset(CMAKE_REQUIRED_FLAGS)
if(NOT HAVE_DSPR2)
simd_fail("SIMD extensions not available for this CPU")
return()
endif()
add_library(simd OBJECT mips/jsimd_dspr2.S mips/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(simd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# MIPS64 (Intrinsics)
###############################################################################
elseif(CPU_TYPE STREQUAL "loongson" OR CPU_TYPE MATCHES "^mips64")
set(CMAKE_REQUIRED_FLAGS -Wa,-mloongson-mmi,-mloongson-ext)
check_c_source_compiles("
#if !(defined(__mips__) && __mips_isa_rev < 6)
#error Loongson MMI can't work with MIPS Release 6+
#endif
int main(void) {
int c = 0, a = 0, b = 0;
asm (
\"paddb %0, %1, %2\"
: \"=f\" (c)
: \"f\" (a), \"f\" (b)
);
return c;
}" HAVE_MMI)
unset(CMAKE_REQUIRED_FLAGS)
if(NOT HAVE_MMI)
simd_fail("SIMD extensions not available for this CPU")
return()
endif()
set(SIMD_SOURCES mips64/jccolor-mmi.c mips64/jcgray-mmi.c mips64/jcsample-mmi.c
mips64/jdcolor-mmi.c mips64/jdmerge-mmi.c mips64/jdsample-mmi.c
mips64/jfdctfst-mmi.c mips64/jfdctint-mmi.c mips64/jidctfst-mmi.c
mips64/jidctint-mmi.c mips64/jquanti-mmi.c)
if(CMAKE_COMPILER_IS_GNUCC)
foreach(file ${SIMD_SOURCES})
set_property(SOURCE ${file} APPEND_STRING PROPERTY COMPILE_FLAGS
" -fno-strict-aliasing")
endforeach()
endif()
foreach(file ${SIMD_SOURCES})
set_property(SOURCE ${file} APPEND_STRING PROPERTY COMPILE_FLAGS
" -Wa,-mloongson-mmi,-mloongson-ext")
endforeach()
add_library(simd OBJECT ${SIMD_SOURCES} mips64/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(simd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# PowerPC (Intrinsics)
###############################################################################
elseif(CPU_TYPE STREQUAL "powerpc")
set(CMAKE_REQUIRED_FLAGS -maltivec)
check_c_source_compiles("
#include <altivec.h>
int main(void) {
__vector int vi = { 0, 0, 0, 0 };
int i[4];
vec_st(vi, 0, i);
return i[0];
}" HAVE_ALTIVEC)
unset(CMAKE_REQUIRED_FLAGS)
if(NOT HAVE_ALTIVEC)
simd_fail("SIMD extensions not available for this CPU (PowerPC SPE)")
return()
endif()
set(SIMD_SOURCES powerpc/jccolor-altivec.c powerpc/jcgray-altivec.c
powerpc/jcsample-altivec.c powerpc/jdcolor-altivec.c
powerpc/jdmerge-altivec.c powerpc/jdsample-altivec.c
powerpc/jfdctfst-altivec.c powerpc/jfdctint-altivec.c
powerpc/jidctfst-altivec.c powerpc/jidctint-altivec.c
powerpc/jquanti-altivec.c)
set_source_files_properties(${SIMD_SOURCES} PROPERTIES
COMPILE_FLAGS -maltivec)
add_library(simd OBJECT ${SIMD_SOURCES} powerpc/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(simd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# None
###############################################################################
else()
simd_fail("SIMD extensions not available for this CPU (${CMAKE_SYSTEM_PROCESSOR})")
endif() # CPU_TYPE
+148
View File
@@ -0,0 +1,148 @@
/*
* Colorspace conversion (32-bit Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
/* This file is included by jccolor-neon.c */
/* RGB -> YCbCr conversion is defined by the following equations:
* Y = 0.29900 * R + 0.58700 * G + 0.11400 * B
* Cb = -0.16874 * R - 0.33126 * G + 0.50000 * B + 128
* Cr = 0.50000 * R - 0.41869 * G - 0.08131 * B + 128
*
* Avoid floating point arithmetic by using shifted integer constants:
* 0.29899597 = 19595 * 2^-16
* 0.58700561 = 38470 * 2^-16
* 0.11399841 = 7471 * 2^-16
* 0.16874695 = 11059 * 2^-16
* 0.33125305 = 21709 * 2^-16
* 0.50000000 = 32768 * 2^-16
* 0.41868592 = 27439 * 2^-16
* 0.08131409 = 5329 * 2^-16
* These constants are defined in jccolor-neon.c
*
* We add the fixed-point equivalent of 0.5 to Cb and Cr, which effectively
* rounds up or down the result via integer truncation.
*/
void jsimd_rgb_ycc_convert_neon(JDIMENSION image_width, JSAMPARRAY input_buf,
JSAMPIMAGE output_buf, JDIMENSION output_row,
int num_rows)
{
/* Pointer to RGB(X/A) input data */
JSAMPROW inptr;
/* Pointers to Y, Cb, and Cr output data */
JSAMPROW outptr0, outptr1, outptr2;
/* Allocate temporary buffer for final (image_width % 8) pixels in row. */
ALIGN(16) uint8_t tmp_buf[8 * RGB_PIXELSIZE];
/* Set up conversion constants. */
#ifdef HAVE_VLD1_U16_X2
const uint16x4x2_t consts = vld1_u16_x2(jsimd_rgb_ycc_neon_consts);
#else
/* GCC does not currently support the intrinsic vld1_<type>_x2(). */
const uint16x4_t consts1 = vld1_u16(jsimd_rgb_ycc_neon_consts);
const uint16x4_t consts2 = vld1_u16(jsimd_rgb_ycc_neon_consts + 4);
const uint16x4x2_t consts = { { consts1, consts2 } };
#endif
const uint32x4_t scaled_128_5 = vdupq_n_u32((128 << 16) + 32767);
while (--num_rows >= 0) {
inptr = *input_buf++;
outptr0 = output_buf[0][output_row];
outptr1 = output_buf[1][output_row];
outptr2 = output_buf[2][output_row];
output_row++;
int cols_remaining = image_width;
for (; cols_remaining > 0; cols_remaining -= 8) {
/* To prevent buffer overread by the vector load instructions, the last
* (image_width % 8) columns of data are first memcopied to a temporary
* buffer large enough to accommodate the vector load.
*/
if (cols_remaining < 8) {
memcpy(tmp_buf, inptr, cols_remaining * RGB_PIXELSIZE);
inptr = tmp_buf;
}
#if RGB_PIXELSIZE == 4
uint8x8x4_t input_pixels = vld4_u8(inptr);
#else
uint8x8x3_t input_pixels = vld3_u8(inptr);
#endif
uint16x8_t r = vmovl_u8(input_pixels.val[RGB_RED]);
uint16x8_t g = vmovl_u8(input_pixels.val[RGB_GREEN]);
uint16x8_t b = vmovl_u8(input_pixels.val[RGB_BLUE]);
/* Compute Y = 0.29900 * R + 0.58700 * G + 0.11400 * B */
uint32x4_t y_low = vmull_lane_u16(vget_low_u16(r), consts.val[0], 0);
y_low = vmlal_lane_u16(y_low, vget_low_u16(g), consts.val[0], 1);
y_low = vmlal_lane_u16(y_low, vget_low_u16(b), consts.val[0], 2);
uint32x4_t y_high = vmull_lane_u16(vget_high_u16(r), consts.val[0], 0);
y_high = vmlal_lane_u16(y_high, vget_high_u16(g), consts.val[0], 1);
y_high = vmlal_lane_u16(y_high, vget_high_u16(b), consts.val[0], 2);
/* Compute Cb = -0.16874 * R - 0.33126 * G + 0.50000 * B + 128 */
uint32x4_t cb_low = scaled_128_5;
cb_low = vmlsl_lane_u16(cb_low, vget_low_u16(r), consts.val[0], 3);
cb_low = vmlsl_lane_u16(cb_low, vget_low_u16(g), consts.val[1], 0);
cb_low = vmlal_lane_u16(cb_low, vget_low_u16(b), consts.val[1], 1);
uint32x4_t cb_high = scaled_128_5;
cb_high = vmlsl_lane_u16(cb_high, vget_high_u16(r), consts.val[0], 3);
cb_high = vmlsl_lane_u16(cb_high, vget_high_u16(g), consts.val[1], 0);
cb_high = vmlal_lane_u16(cb_high, vget_high_u16(b), consts.val[1], 1);
/* Compute Cr = 0.50000 * R - 0.41869 * G - 0.08131 * B + 128 */
uint32x4_t cr_low = scaled_128_5;
cr_low = vmlal_lane_u16(cr_low, vget_low_u16(r), consts.val[1], 1);
cr_low = vmlsl_lane_u16(cr_low, vget_low_u16(g), consts.val[1], 2);
cr_low = vmlsl_lane_u16(cr_low, vget_low_u16(b), consts.val[1], 3);
uint32x4_t cr_high = scaled_128_5;
cr_high = vmlal_lane_u16(cr_high, vget_high_u16(r), consts.val[1], 1);
cr_high = vmlsl_lane_u16(cr_high, vget_high_u16(g), consts.val[1], 2);
cr_high = vmlsl_lane_u16(cr_high, vget_high_u16(b), consts.val[1], 3);
/* Descale Y values (rounding right shift) and narrow to 16-bit. */
uint16x8_t y_u16 = vcombine_u16(vrshrn_n_u32(y_low, 16),
vrshrn_n_u32(y_high, 16));
/* Descale Cb values (right shift) and narrow to 16-bit. */
uint16x8_t cb_u16 = vcombine_u16(vshrn_n_u32(cb_low, 16),
vshrn_n_u32(cb_high, 16));
/* Descale Cr values (right shift) and narrow to 16-bit. */
uint16x8_t cr_u16 = vcombine_u16(vshrn_n_u32(cr_low, 16),
vshrn_n_u32(cr_high, 16));
/* Narrow Y, Cb, and Cr values to 8-bit and store to memory. Buffer
* overwrite is permitted up to the next multiple of ALIGN_SIZE bytes.
*/
vst1_u8(outptr0, vmovn_u16(y_u16));
vst1_u8(outptr1, vmovn_u16(cb_u16));
vst1_u8(outptr2, vmovn_u16(cr_u16));
/* Increment pointers. */
inptr += (8 * RGB_PIXELSIZE);
outptr0 += 8;
outptr1 += 8;
outptr2 += 8;
}
}
}
+335
View File
@@ -0,0 +1,335 @@
/*
* Huffman entropy encoding (32-bit Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*
* NOTE: All referenced figures are from
* Recommendation ITU-T T.81 (1992) | ISO/IEC 10918-1:1994.
*/
#define JPEG_INTERNALS
#include "../../../src/jinclude.h"
#include "../../../src/jpeglib.h"
#include "../../../src/jsimd.h"
#include "../../../src/jdct.h"
#include "../../../src/jsimddct.h"
#include "../../jsimd.h"
#include "../jchuff.h"
#include "neon-compat.h"
#include <limits.h>
#include <arm_neon.h>
JOCTET *jsimd_huff_encode_one_block_neon(void *state, JOCTET *buffer,
JCOEFPTR block, int last_dc_val,
c_derived_tbl *dctbl,
c_derived_tbl *actbl)
{
uint8_t block_nbits[DCTSIZE2];
uint16_t block_diff[DCTSIZE2];
/* Load rows of coefficients from DCT block in zig-zag order. */
/* Compute DC coefficient difference value. (F.1.1.5.1) */
int16x8_t row0 = vdupq_n_s16(block[0] - last_dc_val);
row0 = vld1q_lane_s16(block + 1, row0, 1);
row0 = vld1q_lane_s16(block + 8, row0, 2);
row0 = vld1q_lane_s16(block + 16, row0, 3);
row0 = vld1q_lane_s16(block + 9, row0, 4);
row0 = vld1q_lane_s16(block + 2, row0, 5);
row0 = vld1q_lane_s16(block + 3, row0, 6);
row0 = vld1q_lane_s16(block + 10, row0, 7);
int16x8_t row1 = vld1q_dup_s16(block + 17);
row1 = vld1q_lane_s16(block + 24, row1, 1);
row1 = vld1q_lane_s16(block + 32, row1, 2);
row1 = vld1q_lane_s16(block + 25, row1, 3);
row1 = vld1q_lane_s16(block + 18, row1, 4);
row1 = vld1q_lane_s16(block + 11, row1, 5);
row1 = vld1q_lane_s16(block + 4, row1, 6);
row1 = vld1q_lane_s16(block + 5, row1, 7);
int16x8_t row2 = vld1q_dup_s16(block + 12);
row2 = vld1q_lane_s16(block + 19, row2, 1);
row2 = vld1q_lane_s16(block + 26, row2, 2);
row2 = vld1q_lane_s16(block + 33, row2, 3);
row2 = vld1q_lane_s16(block + 40, row2, 4);
row2 = vld1q_lane_s16(block + 48, row2, 5);
row2 = vld1q_lane_s16(block + 41, row2, 6);
row2 = vld1q_lane_s16(block + 34, row2, 7);
int16x8_t row3 = vld1q_dup_s16(block + 27);
row3 = vld1q_lane_s16(block + 20, row3, 1);
row3 = vld1q_lane_s16(block + 13, row3, 2);
row3 = vld1q_lane_s16(block + 6, row3, 3);
row3 = vld1q_lane_s16(block + 7, row3, 4);
row3 = vld1q_lane_s16(block + 14, row3, 5);
row3 = vld1q_lane_s16(block + 21, row3, 6);
row3 = vld1q_lane_s16(block + 28, row3, 7);
int16x8_t abs_row0 = vabsq_s16(row0);
int16x8_t abs_row1 = vabsq_s16(row1);
int16x8_t abs_row2 = vabsq_s16(row2);
int16x8_t abs_row3 = vabsq_s16(row3);
int16x8_t row0_lz = vclzq_s16(abs_row0);
int16x8_t row1_lz = vclzq_s16(abs_row1);
int16x8_t row2_lz = vclzq_s16(abs_row2);
int16x8_t row3_lz = vclzq_s16(abs_row3);
/* Compute number of bits required to represent each coefficient. */
uint8x8_t row0_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row0_lz)));
uint8x8_t row1_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row1_lz)));
uint8x8_t row2_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row2_lz)));
uint8x8_t row3_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row3_lz)));
vst1_u8(block_nbits + 0 * DCTSIZE, row0_nbits);
vst1_u8(block_nbits + 1 * DCTSIZE, row1_nbits);
vst1_u8(block_nbits + 2 * DCTSIZE, row2_nbits);
vst1_u8(block_nbits + 3 * DCTSIZE, row3_nbits);
uint16x8_t row0_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row0, 15)),
vnegq_s16(row0_lz));
uint16x8_t row1_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row1, 15)),
vnegq_s16(row1_lz));
uint16x8_t row2_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row2, 15)),
vnegq_s16(row2_lz));
uint16x8_t row3_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row3, 15)),
vnegq_s16(row3_lz));
uint16x8_t row0_diff = veorq_u16(vreinterpretq_u16_s16(abs_row0), row0_mask);
uint16x8_t row1_diff = veorq_u16(vreinterpretq_u16_s16(abs_row1), row1_mask);
uint16x8_t row2_diff = veorq_u16(vreinterpretq_u16_s16(abs_row2), row2_mask);
uint16x8_t row3_diff = veorq_u16(vreinterpretq_u16_s16(abs_row3), row3_mask);
/* Store diff values for rows 0, 1, 2, and 3. */
vst1q_u16(block_diff + 0 * DCTSIZE, row0_diff);
vst1q_u16(block_diff + 1 * DCTSIZE, row1_diff);
vst1q_u16(block_diff + 2 * DCTSIZE, row2_diff);
vst1q_u16(block_diff + 3 * DCTSIZE, row3_diff);
/* Load last four rows of coefficients from DCT block in zig-zag order. */
int16x8_t row4 = vld1q_dup_s16(block + 35);
row4 = vld1q_lane_s16(block + 42, row4, 1);
row4 = vld1q_lane_s16(block + 49, row4, 2);
row4 = vld1q_lane_s16(block + 56, row4, 3);
row4 = vld1q_lane_s16(block + 57, row4, 4);
row4 = vld1q_lane_s16(block + 50, row4, 5);
row4 = vld1q_lane_s16(block + 43, row4, 6);
row4 = vld1q_lane_s16(block + 36, row4, 7);
int16x8_t row5 = vld1q_dup_s16(block + 29);
row5 = vld1q_lane_s16(block + 22, row5, 1);
row5 = vld1q_lane_s16(block + 15, row5, 2);
row5 = vld1q_lane_s16(block + 23, row5, 3);
row5 = vld1q_lane_s16(block + 30, row5, 4);
row5 = vld1q_lane_s16(block + 37, row5, 5);
row5 = vld1q_lane_s16(block + 44, row5, 6);
row5 = vld1q_lane_s16(block + 51, row5, 7);
int16x8_t row6 = vld1q_dup_s16(block + 58);
row6 = vld1q_lane_s16(block + 59, row6, 1);
row6 = vld1q_lane_s16(block + 52, row6, 2);
row6 = vld1q_lane_s16(block + 45, row6, 3);
row6 = vld1q_lane_s16(block + 38, row6, 4);
row6 = vld1q_lane_s16(block + 31, row6, 5);
row6 = vld1q_lane_s16(block + 39, row6, 6);
row6 = vld1q_lane_s16(block + 46, row6, 7);
int16x8_t row7 = vld1q_dup_s16(block + 53);
row7 = vld1q_lane_s16(block + 60, row7, 1);
row7 = vld1q_lane_s16(block + 61, row7, 2);
row7 = vld1q_lane_s16(block + 54, row7, 3);
row7 = vld1q_lane_s16(block + 47, row7, 4);
row7 = vld1q_lane_s16(block + 55, row7, 5);
row7 = vld1q_lane_s16(block + 62, row7, 6);
row7 = vld1q_lane_s16(block + 63, row7, 7);
int16x8_t abs_row4 = vabsq_s16(row4);
int16x8_t abs_row5 = vabsq_s16(row5);
int16x8_t abs_row6 = vabsq_s16(row6);
int16x8_t abs_row7 = vabsq_s16(row7);
int16x8_t row4_lz = vclzq_s16(abs_row4);
int16x8_t row5_lz = vclzq_s16(abs_row5);
int16x8_t row6_lz = vclzq_s16(abs_row6);
int16x8_t row7_lz = vclzq_s16(abs_row7);
/* Compute number of bits required to represent each coefficient. */
uint8x8_t row4_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row4_lz)));
uint8x8_t row5_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row5_lz)));
uint8x8_t row6_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row6_lz)));
uint8x8_t row7_nbits = vsub_u8(vdup_n_u8(16),
vmovn_u16(vreinterpretq_u16_s16(row7_lz)));
vst1_u8(block_nbits + 4 * DCTSIZE, row4_nbits);
vst1_u8(block_nbits + 5 * DCTSIZE, row5_nbits);
vst1_u8(block_nbits + 6 * DCTSIZE, row6_nbits);
vst1_u8(block_nbits + 7 * DCTSIZE, row7_nbits);
uint16x8_t row4_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row4, 15)),
vnegq_s16(row4_lz));
uint16x8_t row5_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row5, 15)),
vnegq_s16(row5_lz));
uint16x8_t row6_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row6, 15)),
vnegq_s16(row6_lz));
uint16x8_t row7_mask =
vshlq_u16(vreinterpretq_u16_s16(vshrq_n_s16(row7, 15)),
vnegq_s16(row7_lz));
uint16x8_t row4_diff = veorq_u16(vreinterpretq_u16_s16(abs_row4), row4_mask);
uint16x8_t row5_diff = veorq_u16(vreinterpretq_u16_s16(abs_row5), row5_mask);
uint16x8_t row6_diff = veorq_u16(vreinterpretq_u16_s16(abs_row6), row6_mask);
uint16x8_t row7_diff = veorq_u16(vreinterpretq_u16_s16(abs_row7), row7_mask);
/* Store diff values for rows 4, 5, 6, and 7. */
vst1q_u16(block_diff + 4 * DCTSIZE, row4_diff);
vst1q_u16(block_diff + 5 * DCTSIZE, row5_diff);
vst1q_u16(block_diff + 6 * DCTSIZE, row6_diff);
vst1q_u16(block_diff + 7 * DCTSIZE, row7_diff);
/* Construct bitmap to accelerate encoding of AC coefficients. A set bit
* means that the corresponding coefficient != 0.
*/
uint8x8_t row0_nbits_gt0 = vcgt_u8(row0_nbits, vdup_n_u8(0));
uint8x8_t row1_nbits_gt0 = vcgt_u8(row1_nbits, vdup_n_u8(0));
uint8x8_t row2_nbits_gt0 = vcgt_u8(row2_nbits, vdup_n_u8(0));
uint8x8_t row3_nbits_gt0 = vcgt_u8(row3_nbits, vdup_n_u8(0));
uint8x8_t row4_nbits_gt0 = vcgt_u8(row4_nbits, vdup_n_u8(0));
uint8x8_t row5_nbits_gt0 = vcgt_u8(row5_nbits, vdup_n_u8(0));
uint8x8_t row6_nbits_gt0 = vcgt_u8(row6_nbits, vdup_n_u8(0));
uint8x8_t row7_nbits_gt0 = vcgt_u8(row7_nbits, vdup_n_u8(0));
/* { 0x80, 0x40, 0x20, 0x10, 0x08, 0x04, 0x02, 0x01 } */
const uint8x8_t bitmap_mask =
vreinterpret_u8_u64(vmov_n_u64(0x0102040810204080));
row0_nbits_gt0 = vand_u8(row0_nbits_gt0, bitmap_mask);
row1_nbits_gt0 = vand_u8(row1_nbits_gt0, bitmap_mask);
row2_nbits_gt0 = vand_u8(row2_nbits_gt0, bitmap_mask);
row3_nbits_gt0 = vand_u8(row3_nbits_gt0, bitmap_mask);
row4_nbits_gt0 = vand_u8(row4_nbits_gt0, bitmap_mask);
row5_nbits_gt0 = vand_u8(row5_nbits_gt0, bitmap_mask);
row6_nbits_gt0 = vand_u8(row6_nbits_gt0, bitmap_mask);
row7_nbits_gt0 = vand_u8(row7_nbits_gt0, bitmap_mask);
uint8x8_t bitmap_rows_10 = vpadd_u8(row1_nbits_gt0, row0_nbits_gt0);
uint8x8_t bitmap_rows_32 = vpadd_u8(row3_nbits_gt0, row2_nbits_gt0);
uint8x8_t bitmap_rows_54 = vpadd_u8(row5_nbits_gt0, row4_nbits_gt0);
uint8x8_t bitmap_rows_76 = vpadd_u8(row7_nbits_gt0, row6_nbits_gt0);
uint8x8_t bitmap_rows_3210 = vpadd_u8(bitmap_rows_32, bitmap_rows_10);
uint8x8_t bitmap_rows_7654 = vpadd_u8(bitmap_rows_76, bitmap_rows_54);
uint8x8_t bitmap = vpadd_u8(bitmap_rows_7654, bitmap_rows_3210);
/* Shift left to remove DC bit. */
bitmap = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(bitmap), 1));
/* Move bitmap to 32-bit scalar registers. */
uint32_t bitmap_1_32 = vget_lane_u32(vreinterpret_u32_u8(bitmap), 1);
uint32_t bitmap_33_63 = vget_lane_u32(vreinterpret_u32_u8(bitmap), 0);
/* Set up state and bit buffer for output bitstream. */
working_state *state_ptr = (working_state *)state;
int free_bits = state_ptr->cur.free_bits;
size_t put_buffer = state_ptr->cur.put_buffer;
/* Encode DC coefficient. */
unsigned int nbits = block_nbits[0];
/* Emit Huffman-coded symbol and additional diff bits. */
unsigned int diff = block_diff[0];
PUT_CODE(dctbl->ehufco[nbits], dctbl->ehufsi[nbits], diff)
/* Encode AC coefficients. */
unsigned int r = 0; /* r = run length of zeros */
unsigned int i = 1; /* i = number of coefficients encoded */
/* Code and size information for a run length of 16 zero coefficients */
const unsigned int code_0xf0 = actbl->ehufco[0xf0];
const unsigned int size_0xf0 = actbl->ehufsi[0xf0];
while (bitmap_1_32 != 0) {
r = BUILTIN_CLZ(bitmap_1_32);
i += r;
bitmap_1_32 <<= r;
nbits = block_nbits[i];
diff = block_diff[i];
while (r > 15) {
/* If run length > 15, emit special run-length-16 codes. */
PUT_BITS(code_0xf0, size_0xf0)
r -= 16;
}
/* Emit Huffman symbol for run length / number of bits. (F.1.2.2.1) */
unsigned int rs = (r << 4) + nbits;
PUT_CODE(actbl->ehufco[rs], actbl->ehufsi[rs], diff)
i++;
bitmap_1_32 <<= 1;
}
r = 33 - i;
i = 33;
while (bitmap_33_63 != 0) {
unsigned int leading_zeros = BUILTIN_CLZ(bitmap_33_63);
r += leading_zeros;
i += leading_zeros;
bitmap_33_63 <<= leading_zeros;
nbits = block_nbits[i];
diff = block_diff[i];
while (r > 15) {
/* If run length > 15, emit special run-length-16 codes. */
PUT_BITS(code_0xf0, size_0xf0)
r -= 16;
}
/* Emit Huffman symbol for run length / number of bits. (F.1.2.2.1) */
unsigned int rs = (r << 4) + nbits;
PUT_CODE(actbl->ehufco[rs], actbl->ehufsi[rs], diff)
r = 0;
i++;
bitmap_33_63 <<= 1;
}
/* If the last coefficient(s) were zero, emit an end-of-block (EOB) code.
* The value of RS for the EOB code is 0.
*/
if (i != 64) {
PUT_BITS(actbl->ehufco[0], actbl->ehufsi[0])
}
state_ptr->cur.put_buffer = put_buffer;
state_ptr->cur.free_bits = free_bits;
return buffer;
}
+974
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@@ -0,0 +1,974 @@
/*
* Copyright 2009 Pierre Ossman <ossman@cendio.se> for Cendio AB
* Copyright (C) 2011, Nokia Corporation and/or its subsidiary(-ies).
* Copyright (C) 2009-2011, 2013-2014, 2016, 2018, 2022, 2024, D. R. Commander.
* Copyright (C) 2015-2016, 2018, 2022, Matthieu Darbois.
* Copyright (C) 2019, Google LLC.
* Copyright (C) 2020, Arm Limited.
*
* Based on the x86 SIMD extension for IJG JPEG library,
* Copyright (C) 1999-2006, MIYASAKA Masaru.
* For conditions of distribution and use, see copyright notice in jsimdext.inc
*
* This file contains the interface between the "normal" portions
* of the library and the SIMD implementations when running on a
* 32-bit Arm architecture.
*/
#define JPEG_INTERNALS
#include "../../../src/jinclude.h"
#include "../../../src/jpeglib.h"
#include "../../../src/jsimd.h"
#include "../../../src/jdct.h"
#include "../../../src/jsimddct.h"
#include "../../jsimd.h"
#include <ctype.h>
static THREAD_LOCAL unsigned int simd_support = ~0;
static THREAD_LOCAL unsigned int simd_huffman = 1;
#if !defined(__ARM_NEON__) && (defined(__linux__) || defined(ANDROID) || defined(__ANDROID__))
#define SOMEWHAT_SANE_PROC_CPUINFO_SIZE_LIMIT (1024 * 1024)
LOCAL(int)
check_feature(char *buffer, char *feature)
{
char *p;
if (*feature == 0)
return 0;
if (strncmp(buffer, "Features", 8) != 0)
return 0;
buffer += 8;
while (isspace(*buffer))
buffer++;
/* Check if 'feature' is present in the buffer as a separate word */
while ((p = strstr(buffer, feature))) {
if (p > buffer && !isspace(*(p - 1))) {
buffer++;
continue;
}
p += strlen(feature);
if (*p != 0 && !isspace(*p)) {
buffer++;
continue;
}
return 1;
}
return 0;
}
LOCAL(int)
parse_proc_cpuinfo(int bufsize)
{
char *buffer = (char *)malloc(bufsize);
FILE *fd;
simd_support = 0;
if (!buffer)
return 0;
fd = fopen("/proc/cpuinfo", "r");
if (fd) {
while (fgets(buffer, bufsize, fd)) {
if (!strchr(buffer, '\n') && !feof(fd)) {
/* "impossible" happened - insufficient size of the buffer! */
fclose(fd);
free(buffer);
return 0;
}
if (check_feature(buffer, "neon"))
simd_support |= JSIMD_NEON;
}
fclose(fd);
}
free(buffer);
return 1;
}
#endif
/*
* Check what SIMD accelerations are supported.
*/
LOCAL(void)
init_simd(void)
{
#ifndef NO_GETENV
char env[2] = { 0 };
#endif
#if !defined(__ARM_NEON__) && (defined(__linux__) || defined(ANDROID) || defined(__ANDROID__))
int bufsize = 1024; /* an initial guess for the line buffer size limit */
#endif
if (simd_support != ~0U)
return;
simd_support = 0;
#if defined(__ARM_NEON__)
simd_support |= JSIMD_NEON;
#elif defined(__linux__) || defined(ANDROID) || defined(__ANDROID__)
/* We still have a chance to use Neon regardless of globally used
* -mcpu/-mfpu options passed to gcc by performing runtime detection via
* /proc/cpuinfo parsing on linux/android */
while (!parse_proc_cpuinfo(bufsize)) {
bufsize *= 2;
if (bufsize > SOMEWHAT_SANE_PROC_CPUINFO_SIZE_LIMIT)
break;
}
#endif
#ifndef NO_GETENV
/* Force different settings through environment variables */
if (!GETENV_S(env, 2, "JSIMD_FORCENEON") && !strcmp(env, "1"))
simd_support = JSIMD_NEON;
if (!GETENV_S(env, 2, "JSIMD_FORCENONE") && !strcmp(env, "1"))
simd_support = 0;
if (!GETENV_S(env, 2, "JSIMD_NOHUFFENC") && !strcmp(env, "1"))
simd_huffman = 0;
#endif
}
GLOBAL(int)
jsimd_can_rgb_ycc(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if ((RGB_PIXELSIZE != 3) && (RGB_PIXELSIZE != 4))
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_rgb_gray(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if ((RGB_PIXELSIZE != 3) && (RGB_PIXELSIZE != 4))
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_ycc_rgb(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if ((RGB_PIXELSIZE != 3) && (RGB_PIXELSIZE != 4))
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_ycc_rgb565(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_rgb_ycc_convert(j_compress_ptr cinfo, JSAMPARRAY input_buf,
JSAMPIMAGE output_buf, JDIMENSION output_row,
int num_rows)
{
void (*neonfct) (JDIMENSION, JSAMPARRAY, JSAMPIMAGE, JDIMENSION, int);
switch (cinfo->in_color_space) {
case JCS_EXT_RGB:
neonfct = jsimd_extrgb_ycc_convert_neon;
break;
case JCS_EXT_RGBX:
case JCS_EXT_RGBA:
neonfct = jsimd_extrgbx_ycc_convert_neon;
break;
case JCS_EXT_BGR:
neonfct = jsimd_extbgr_ycc_convert_neon;
break;
case JCS_EXT_BGRX:
case JCS_EXT_BGRA:
neonfct = jsimd_extbgrx_ycc_convert_neon;
break;
case JCS_EXT_XBGR:
case JCS_EXT_ABGR:
neonfct = jsimd_extxbgr_ycc_convert_neon;
break;
case JCS_EXT_XRGB:
case JCS_EXT_ARGB:
neonfct = jsimd_extxrgb_ycc_convert_neon;
break;
default:
neonfct = jsimd_extrgb_ycc_convert_neon;
break;
}
neonfct(cinfo->image_width, input_buf, output_buf, output_row, num_rows);
}
GLOBAL(void)
jsimd_rgb_gray_convert(j_compress_ptr cinfo, JSAMPARRAY input_buf,
JSAMPIMAGE output_buf, JDIMENSION output_row,
int num_rows)
{
void (*neonfct) (JDIMENSION, JSAMPARRAY, JSAMPIMAGE, JDIMENSION, int);
switch (cinfo->in_color_space) {
case JCS_EXT_RGB:
neonfct = jsimd_extrgb_gray_convert_neon;
break;
case JCS_EXT_RGBX:
case JCS_EXT_RGBA:
neonfct = jsimd_extrgbx_gray_convert_neon;
break;
case JCS_EXT_BGR:
neonfct = jsimd_extbgr_gray_convert_neon;
break;
case JCS_EXT_BGRX:
case JCS_EXT_BGRA:
neonfct = jsimd_extbgrx_gray_convert_neon;
break;
case JCS_EXT_XBGR:
case JCS_EXT_ABGR:
neonfct = jsimd_extxbgr_gray_convert_neon;
break;
case JCS_EXT_XRGB:
case JCS_EXT_ARGB:
neonfct = jsimd_extxrgb_gray_convert_neon;
break;
default:
neonfct = jsimd_extrgb_gray_convert_neon;
break;
}
neonfct(cinfo->image_width, input_buf, output_buf, output_row, num_rows);
}
GLOBAL(void)
jsimd_ycc_rgb_convert(j_decompress_ptr cinfo, JSAMPIMAGE input_buf,
JDIMENSION input_row, JSAMPARRAY output_buf,
int num_rows)
{
void (*neonfct) (JDIMENSION, JSAMPIMAGE, JDIMENSION, JSAMPARRAY, int);
switch (cinfo->out_color_space) {
case JCS_EXT_RGB:
neonfct = jsimd_ycc_extrgb_convert_neon;
break;
case JCS_EXT_RGBX:
case JCS_EXT_RGBA:
neonfct = jsimd_ycc_extrgbx_convert_neon;
break;
case JCS_EXT_BGR:
neonfct = jsimd_ycc_extbgr_convert_neon;
break;
case JCS_EXT_BGRX:
case JCS_EXT_BGRA:
neonfct = jsimd_ycc_extbgrx_convert_neon;
break;
case JCS_EXT_XBGR:
case JCS_EXT_ABGR:
neonfct = jsimd_ycc_extxbgr_convert_neon;
break;
case JCS_EXT_XRGB:
case JCS_EXT_ARGB:
neonfct = jsimd_ycc_extxrgb_convert_neon;
break;
default:
neonfct = jsimd_ycc_extrgb_convert_neon;
break;
}
neonfct(cinfo->output_width, input_buf, input_row, output_buf, num_rows);
}
GLOBAL(void)
jsimd_ycc_rgb565_convert(j_decompress_ptr cinfo, JSAMPIMAGE input_buf,
JDIMENSION input_row, JSAMPARRAY output_buf,
int num_rows)
{
jsimd_ycc_rgb565_convert_neon(cinfo->output_width, input_buf, input_row,
output_buf, num_rows);
}
GLOBAL(int)
jsimd_can_h2v2_downsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (DCTSIZE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_h2v1_downsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (DCTSIZE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_h2v2_downsample(j_compress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY output_data)
{
jsimd_h2v2_downsample_neon(cinfo->image_width, cinfo->max_v_samp_factor,
compptr->v_samp_factor, compptr->width_in_blocks,
input_data, output_data);
}
GLOBAL(void)
jsimd_h2v1_downsample(j_compress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY output_data)
{
jsimd_h2v1_downsample_neon(cinfo->image_width, cinfo->max_v_samp_factor,
compptr->v_samp_factor, compptr->width_in_blocks,
input_data, output_data);
}
GLOBAL(int)
jsimd_can_h2v2_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_h2v1_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_h2v2_upsample(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr)
{
jsimd_h2v2_upsample_neon(cinfo->max_v_samp_factor, cinfo->output_width,
input_data, output_data_ptr);
}
GLOBAL(void)
jsimd_h2v1_upsample(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr)
{
jsimd_h2v1_upsample_neon(cinfo->max_v_samp_factor, cinfo->output_width,
input_data, output_data_ptr);
}
GLOBAL(int)
jsimd_can_h2v2_fancy_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_h2v1_fancy_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_h1v2_fancy_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_h2v2_fancy_upsample(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr)
{
jsimd_h2v2_fancy_upsample_neon(cinfo->max_v_samp_factor,
compptr->downsampled_width, input_data,
output_data_ptr);
}
GLOBAL(void)
jsimd_h2v1_fancy_upsample(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr)
{
jsimd_h2v1_fancy_upsample_neon(cinfo->max_v_samp_factor,
compptr->downsampled_width, input_data,
output_data_ptr);
}
GLOBAL(void)
jsimd_h1v2_fancy_upsample(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JSAMPARRAY input_data, JSAMPARRAY *output_data_ptr)
{
jsimd_h1v2_fancy_upsample_neon(cinfo->max_v_samp_factor,
compptr->downsampled_width, input_data,
output_data_ptr);
}
GLOBAL(int)
jsimd_can_h2v2_merged_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_h2v1_merged_upsample(void)
{
init_simd();
/* The code is optimised for these values only */
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_h2v2_merged_upsample(j_decompress_ptr cinfo, JSAMPIMAGE input_buf,
JDIMENSION in_row_group_ctr, JSAMPARRAY output_buf)
{
void (*neonfct) (JDIMENSION, JSAMPIMAGE, JDIMENSION, JSAMPARRAY);
switch (cinfo->out_color_space) {
case JCS_EXT_RGB:
neonfct = jsimd_h2v2_extrgb_merged_upsample_neon;
break;
case JCS_EXT_RGBX:
case JCS_EXT_RGBA:
neonfct = jsimd_h2v2_extrgbx_merged_upsample_neon;
break;
case JCS_EXT_BGR:
neonfct = jsimd_h2v2_extbgr_merged_upsample_neon;
break;
case JCS_EXT_BGRX:
case JCS_EXT_BGRA:
neonfct = jsimd_h2v2_extbgrx_merged_upsample_neon;
break;
case JCS_EXT_XBGR:
case JCS_EXT_ABGR:
neonfct = jsimd_h2v2_extxbgr_merged_upsample_neon;
break;
case JCS_EXT_XRGB:
case JCS_EXT_ARGB:
neonfct = jsimd_h2v2_extxrgb_merged_upsample_neon;
break;
default:
neonfct = jsimd_h2v2_extrgb_merged_upsample_neon;
break;
}
neonfct(cinfo->output_width, input_buf, in_row_group_ctr, output_buf);
}
GLOBAL(void)
jsimd_h2v1_merged_upsample(j_decompress_ptr cinfo, JSAMPIMAGE input_buf,
JDIMENSION in_row_group_ctr, JSAMPARRAY output_buf)
{
void (*neonfct) (JDIMENSION, JSAMPIMAGE, JDIMENSION, JSAMPARRAY);
switch (cinfo->out_color_space) {
case JCS_EXT_RGB:
neonfct = jsimd_h2v1_extrgb_merged_upsample_neon;
break;
case JCS_EXT_RGBX:
case JCS_EXT_RGBA:
neonfct = jsimd_h2v1_extrgbx_merged_upsample_neon;
break;
case JCS_EXT_BGR:
neonfct = jsimd_h2v1_extbgr_merged_upsample_neon;
break;
case JCS_EXT_BGRX:
case JCS_EXT_BGRA:
neonfct = jsimd_h2v1_extbgrx_merged_upsample_neon;
break;
case JCS_EXT_XBGR:
case JCS_EXT_ABGR:
neonfct = jsimd_h2v1_extxbgr_merged_upsample_neon;
break;
case JCS_EXT_XRGB:
case JCS_EXT_ARGB:
neonfct = jsimd_h2v1_extxrgb_merged_upsample_neon;
break;
default:
neonfct = jsimd_h2v1_extrgb_merged_upsample_neon;
break;
}
neonfct(cinfo->output_width, input_buf, in_row_group_ctr, output_buf);
}
GLOBAL(int)
jsimd_can_convsamp(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (sizeof(DCTELEM) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_convsamp_float(void)
{
return 0;
}
GLOBAL(void)
jsimd_convsamp(JSAMPARRAY sample_data, JDIMENSION start_col,
DCTELEM *workspace)
{
jsimd_convsamp_neon(sample_data, start_col, workspace);
}
GLOBAL(void)
jsimd_convsamp_float(JSAMPARRAY sample_data, JDIMENSION start_col,
FAST_FLOAT *workspace)
{
}
GLOBAL(int)
jsimd_can_fdct_islow(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(DCTELEM) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_fdct_ifast(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(DCTELEM) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_fdct_float(void)
{
return 0;
}
GLOBAL(void)
jsimd_fdct_islow(DCTELEM *data)
{
jsimd_fdct_islow_neon(data);
}
GLOBAL(void)
jsimd_fdct_ifast(DCTELEM *data)
{
jsimd_fdct_ifast_neon(data);
}
GLOBAL(void)
jsimd_fdct_float(FAST_FLOAT *data)
{
}
GLOBAL(int)
jsimd_can_quantize(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (sizeof(DCTELEM) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_quantize_float(void)
{
return 0;
}
GLOBAL(void)
jsimd_quantize(JCOEFPTR coef_block, DCTELEM *divisors, DCTELEM *workspace)
{
jsimd_quantize_neon(coef_block, divisors, workspace);
}
GLOBAL(void)
jsimd_quantize_float(JCOEFPTR coef_block, FAST_FLOAT *divisors,
FAST_FLOAT *workspace)
{
}
GLOBAL(int)
jsimd_can_idct_2x2(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (sizeof(ISLOW_MULT_TYPE) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_idct_4x4(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (sizeof(ISLOW_MULT_TYPE) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_idct_2x2(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JCOEFPTR coef_block, JSAMPARRAY output_buf,
JDIMENSION output_col)
{
jsimd_idct_2x2_neon(compptr->dct_table, coef_block, output_buf, output_col);
}
GLOBAL(void)
jsimd_idct_4x4(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JCOEFPTR coef_block, JSAMPARRAY output_buf,
JDIMENSION output_col)
{
jsimd_idct_4x4_neon(compptr->dct_table, coef_block, output_buf, output_col);
}
GLOBAL(int)
jsimd_can_idct_islow(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (sizeof(ISLOW_MULT_TYPE) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_idct_ifast(void)
{
init_simd();
/* The code is optimised for these values only */
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (BITS_IN_JSAMPLE != 8)
return 0;
if (sizeof(JDIMENSION) != 4)
return 0;
if (sizeof(IFAST_MULT_TYPE) != 2)
return 0;
if (IFAST_SCALE_BITS != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_can_idct_float(void)
{
return 0;
}
GLOBAL(void)
jsimd_idct_islow(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JCOEFPTR coef_block, JSAMPARRAY output_buf,
JDIMENSION output_col)
{
jsimd_idct_islow_neon(compptr->dct_table, coef_block, output_buf,
output_col);
}
GLOBAL(void)
jsimd_idct_ifast(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JCOEFPTR coef_block, JSAMPARRAY output_buf,
JDIMENSION output_col)
{
jsimd_idct_ifast_neon(compptr->dct_table, coef_block, output_buf,
output_col);
}
GLOBAL(void)
jsimd_idct_float(j_decompress_ptr cinfo, jpeg_component_info *compptr,
JCOEFPTR coef_block, JSAMPARRAY output_buf,
JDIMENSION output_col)
{
}
GLOBAL(int)
jsimd_can_huff_encode_one_block(void)
{
init_simd();
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (simd_support & JSIMD_NEON && simd_huffman)
return 1;
return 0;
}
GLOBAL(JOCTET *)
jsimd_huff_encode_one_block(void *state, JOCTET *buffer, JCOEFPTR block,
int last_dc_val, c_derived_tbl *dctbl,
c_derived_tbl *actbl)
{
return jsimd_huff_encode_one_block_neon(state, buffer, block, last_dc_val,
dctbl, actbl);
}
GLOBAL(int)
jsimd_can_encode_mcu_AC_first_prepare(void)
{
init_simd();
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(void)
jsimd_encode_mcu_AC_first_prepare(const JCOEF *block,
const int *jpeg_natural_order_start, int Sl,
int Al, UJCOEF *values, size_t *zerobits)
{
jsimd_encode_mcu_AC_first_prepare_neon(block, jpeg_natural_order_start,
Sl, Al, values, zerobits);
}
GLOBAL(int)
jsimd_can_encode_mcu_AC_refine_prepare(void)
{
init_simd();
if (DCTSIZE != 8)
return 0;
if (sizeof(JCOEF) != 2)
return 0;
if (simd_support & JSIMD_NEON)
return 1;
return 0;
}
GLOBAL(int)
jsimd_encode_mcu_AC_refine_prepare(const JCOEF *block,
const int *jpeg_natural_order_start, int Sl,
int Al, UJCOEF *absvalues, size_t *bits)
{
return jsimd_encode_mcu_AC_refine_prepare_neon(block,
jpeg_natural_order_start, Sl,
Al, absvalues, bits);
}
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/*
* Colorspace conversion (64-bit Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
/* This file is included by jccolor-neon.c */
/* RGB -> YCbCr conversion is defined by the following equations:
* Y = 0.29900 * R + 0.58700 * G + 0.11400 * B
* Cb = -0.16874 * R - 0.33126 * G + 0.50000 * B + 128
* Cr = 0.50000 * R - 0.41869 * G - 0.08131 * B + 128
*
* Avoid floating point arithmetic by using shifted integer constants:
* 0.29899597 = 19595 * 2^-16
* 0.58700561 = 38470 * 2^-16
* 0.11399841 = 7471 * 2^-16
* 0.16874695 = 11059 * 2^-16
* 0.33125305 = 21709 * 2^-16
* 0.50000000 = 32768 * 2^-16
* 0.41868592 = 27439 * 2^-16
* 0.08131409 = 5329 * 2^-16
* These constants are defined in jccolor-neon.c
*
* We add the fixed-point equivalent of 0.5 to Cb and Cr, which effectively
* rounds up or down the result via integer truncation.
*/
void jsimd_rgb_ycc_convert_neon(JDIMENSION image_width, JSAMPARRAY input_buf,
JSAMPIMAGE output_buf, JDIMENSION output_row,
int num_rows)
{
/* Pointer to RGB(X/A) input data */
JSAMPROW inptr;
/* Pointers to Y, Cb, and Cr output data */
JSAMPROW outptr0, outptr1, outptr2;
/* Allocate temporary buffer for final (image_width % 16) pixels in row. */
ALIGN(16) uint8_t tmp_buf[16 * RGB_PIXELSIZE];
/* Set up conversion constants. */
const uint16x8_t consts = vld1q_u16(jsimd_rgb_ycc_neon_consts);
const uint32x4_t scaled_128_5 = vdupq_n_u32((128 << 16) + 32767);
while (--num_rows >= 0) {
inptr = *input_buf++;
outptr0 = output_buf[0][output_row];
outptr1 = output_buf[1][output_row];
outptr2 = output_buf[2][output_row];
output_row++;
int cols_remaining = image_width;
for (; cols_remaining >= 16; cols_remaining -= 16) {
#if RGB_PIXELSIZE == 4
uint8x16x4_t input_pixels = vld4q_u8(inptr);
#else
uint8x16x3_t input_pixels = vld3q_u8(inptr);
#endif
uint16x8_t r_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_RED]));
uint16x8_t g_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_GREEN]));
uint16x8_t b_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_BLUE]));
uint16x8_t r_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_RED]));
uint16x8_t g_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_GREEN]));
uint16x8_t b_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_BLUE]));
/* Compute Y = 0.29900 * R + 0.58700 * G + 0.11400 * B */
uint32x4_t y_ll = vmull_laneq_u16(vget_low_u16(r_l), consts, 0);
y_ll = vmlal_laneq_u16(y_ll, vget_low_u16(g_l), consts, 1);
y_ll = vmlal_laneq_u16(y_ll, vget_low_u16(b_l), consts, 2);
uint32x4_t y_lh = vmull_laneq_u16(vget_high_u16(r_l), consts, 0);
y_lh = vmlal_laneq_u16(y_lh, vget_high_u16(g_l), consts, 1);
y_lh = vmlal_laneq_u16(y_lh, vget_high_u16(b_l), consts, 2);
uint32x4_t y_hl = vmull_laneq_u16(vget_low_u16(r_h), consts, 0);
y_hl = vmlal_laneq_u16(y_hl, vget_low_u16(g_h), consts, 1);
y_hl = vmlal_laneq_u16(y_hl, vget_low_u16(b_h), consts, 2);
uint32x4_t y_hh = vmull_laneq_u16(vget_high_u16(r_h), consts, 0);
y_hh = vmlal_laneq_u16(y_hh, vget_high_u16(g_h), consts, 1);
y_hh = vmlal_laneq_u16(y_hh, vget_high_u16(b_h), consts, 2);
/* Compute Cb = -0.16874 * R - 0.33126 * G + 0.50000 * B + 128 */
uint32x4_t cb_ll = scaled_128_5;
cb_ll = vmlsl_laneq_u16(cb_ll, vget_low_u16(r_l), consts, 3);
cb_ll = vmlsl_laneq_u16(cb_ll, vget_low_u16(g_l), consts, 4);
cb_ll = vmlal_laneq_u16(cb_ll, vget_low_u16(b_l), consts, 5);
uint32x4_t cb_lh = scaled_128_5;
cb_lh = vmlsl_laneq_u16(cb_lh, vget_high_u16(r_l), consts, 3);
cb_lh = vmlsl_laneq_u16(cb_lh, vget_high_u16(g_l), consts, 4);
cb_lh = vmlal_laneq_u16(cb_lh, vget_high_u16(b_l), consts, 5);
uint32x4_t cb_hl = scaled_128_5;
cb_hl = vmlsl_laneq_u16(cb_hl, vget_low_u16(r_h), consts, 3);
cb_hl = vmlsl_laneq_u16(cb_hl, vget_low_u16(g_h), consts, 4);
cb_hl = vmlal_laneq_u16(cb_hl, vget_low_u16(b_h), consts, 5);
uint32x4_t cb_hh = scaled_128_5;
cb_hh = vmlsl_laneq_u16(cb_hh, vget_high_u16(r_h), consts, 3);
cb_hh = vmlsl_laneq_u16(cb_hh, vget_high_u16(g_h), consts, 4);
cb_hh = vmlal_laneq_u16(cb_hh, vget_high_u16(b_h), consts, 5);
/* Compute Cr = 0.50000 * R - 0.41869 * G - 0.08131 * B + 128 */
uint32x4_t cr_ll = scaled_128_5;
cr_ll = vmlal_laneq_u16(cr_ll, vget_low_u16(r_l), consts, 5);
cr_ll = vmlsl_laneq_u16(cr_ll, vget_low_u16(g_l), consts, 6);
cr_ll = vmlsl_laneq_u16(cr_ll, vget_low_u16(b_l), consts, 7);
uint32x4_t cr_lh = scaled_128_5;
cr_lh = vmlal_laneq_u16(cr_lh, vget_high_u16(r_l), consts, 5);
cr_lh = vmlsl_laneq_u16(cr_lh, vget_high_u16(g_l), consts, 6);
cr_lh = vmlsl_laneq_u16(cr_lh, vget_high_u16(b_l), consts, 7);
uint32x4_t cr_hl = scaled_128_5;
cr_hl = vmlal_laneq_u16(cr_hl, vget_low_u16(r_h), consts, 5);
cr_hl = vmlsl_laneq_u16(cr_hl, vget_low_u16(g_h), consts, 6);
cr_hl = vmlsl_laneq_u16(cr_hl, vget_low_u16(b_h), consts, 7);
uint32x4_t cr_hh = scaled_128_5;
cr_hh = vmlal_laneq_u16(cr_hh, vget_high_u16(r_h), consts, 5);
cr_hh = vmlsl_laneq_u16(cr_hh, vget_high_u16(g_h), consts, 6);
cr_hh = vmlsl_laneq_u16(cr_hh, vget_high_u16(b_h), consts, 7);
/* Descale Y values (rounding right shift) and narrow to 16-bit. */
uint16x8_t y_l = vcombine_u16(vrshrn_n_u32(y_ll, 16),
vrshrn_n_u32(y_lh, 16));
uint16x8_t y_h = vcombine_u16(vrshrn_n_u32(y_hl, 16),
vrshrn_n_u32(y_hh, 16));
/* Descale Cb values (right shift) and narrow to 16-bit. */
uint16x8_t cb_l = vcombine_u16(vshrn_n_u32(cb_ll, 16),
vshrn_n_u32(cb_lh, 16));
uint16x8_t cb_h = vcombine_u16(vshrn_n_u32(cb_hl, 16),
vshrn_n_u32(cb_hh, 16));
/* Descale Cr values (right shift) and narrow to 16-bit. */
uint16x8_t cr_l = vcombine_u16(vshrn_n_u32(cr_ll, 16),
vshrn_n_u32(cr_lh, 16));
uint16x8_t cr_h = vcombine_u16(vshrn_n_u32(cr_hl, 16),
vshrn_n_u32(cr_hh, 16));
/* Narrow Y, Cb, and Cr values to 8-bit and store to memory. Buffer
* overwrite is permitted up to the next multiple of ALIGN_SIZE bytes.
*/
vst1q_u8(outptr0, vcombine_u8(vmovn_u16(y_l), vmovn_u16(y_h)));
vst1q_u8(outptr1, vcombine_u8(vmovn_u16(cb_l), vmovn_u16(cb_h)));
vst1q_u8(outptr2, vcombine_u8(vmovn_u16(cr_l), vmovn_u16(cr_h)));
/* Increment pointers. */
inptr += (16 * RGB_PIXELSIZE);
outptr0 += 16;
outptr1 += 16;
outptr2 += 16;
}
if (cols_remaining > 8) {
/* To prevent buffer overread by the vector load instructions, the last
* (image_width % 16) columns of data are first memcopied to a temporary
* buffer large enough to accommodate the vector load.
*/
memcpy(tmp_buf, inptr, cols_remaining * RGB_PIXELSIZE);
inptr = tmp_buf;
#if RGB_PIXELSIZE == 4
uint8x16x4_t input_pixels = vld4q_u8(inptr);
#else
uint8x16x3_t input_pixels = vld3q_u8(inptr);
#endif
uint16x8_t r_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_RED]));
uint16x8_t g_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_GREEN]));
uint16x8_t b_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_BLUE]));
uint16x8_t r_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_RED]));
uint16x8_t g_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_GREEN]));
uint16x8_t b_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_BLUE]));
/* Compute Y = 0.29900 * R + 0.58700 * G + 0.11400 * B */
uint32x4_t y_ll = vmull_laneq_u16(vget_low_u16(r_l), consts, 0);
y_ll = vmlal_laneq_u16(y_ll, vget_low_u16(g_l), consts, 1);
y_ll = vmlal_laneq_u16(y_ll, vget_low_u16(b_l), consts, 2);
uint32x4_t y_lh = vmull_laneq_u16(vget_high_u16(r_l), consts, 0);
y_lh = vmlal_laneq_u16(y_lh, vget_high_u16(g_l), consts, 1);
y_lh = vmlal_laneq_u16(y_lh, vget_high_u16(b_l), consts, 2);
uint32x4_t y_hl = vmull_laneq_u16(vget_low_u16(r_h), consts, 0);
y_hl = vmlal_laneq_u16(y_hl, vget_low_u16(g_h), consts, 1);
y_hl = vmlal_laneq_u16(y_hl, vget_low_u16(b_h), consts, 2);
uint32x4_t y_hh = vmull_laneq_u16(vget_high_u16(r_h), consts, 0);
y_hh = vmlal_laneq_u16(y_hh, vget_high_u16(g_h), consts, 1);
y_hh = vmlal_laneq_u16(y_hh, vget_high_u16(b_h), consts, 2);
/* Compute Cb = -0.16874 * R - 0.33126 * G + 0.50000 * B + 128 */
uint32x4_t cb_ll = scaled_128_5;
cb_ll = vmlsl_laneq_u16(cb_ll, vget_low_u16(r_l), consts, 3);
cb_ll = vmlsl_laneq_u16(cb_ll, vget_low_u16(g_l), consts, 4);
cb_ll = vmlal_laneq_u16(cb_ll, vget_low_u16(b_l), consts, 5);
uint32x4_t cb_lh = scaled_128_5;
cb_lh = vmlsl_laneq_u16(cb_lh, vget_high_u16(r_l), consts, 3);
cb_lh = vmlsl_laneq_u16(cb_lh, vget_high_u16(g_l), consts, 4);
cb_lh = vmlal_laneq_u16(cb_lh, vget_high_u16(b_l), consts, 5);
uint32x4_t cb_hl = scaled_128_5;
cb_hl = vmlsl_laneq_u16(cb_hl, vget_low_u16(r_h), consts, 3);
cb_hl = vmlsl_laneq_u16(cb_hl, vget_low_u16(g_h), consts, 4);
cb_hl = vmlal_laneq_u16(cb_hl, vget_low_u16(b_h), consts, 5);
uint32x4_t cb_hh = scaled_128_5;
cb_hh = vmlsl_laneq_u16(cb_hh, vget_high_u16(r_h), consts, 3);
cb_hh = vmlsl_laneq_u16(cb_hh, vget_high_u16(g_h), consts, 4);
cb_hh = vmlal_laneq_u16(cb_hh, vget_high_u16(b_h), consts, 5);
/* Compute Cr = 0.50000 * R - 0.41869 * G - 0.08131 * B + 128 */
uint32x4_t cr_ll = scaled_128_5;
cr_ll = vmlal_laneq_u16(cr_ll, vget_low_u16(r_l), consts, 5);
cr_ll = vmlsl_laneq_u16(cr_ll, vget_low_u16(g_l), consts, 6);
cr_ll = vmlsl_laneq_u16(cr_ll, vget_low_u16(b_l), consts, 7);
uint32x4_t cr_lh = scaled_128_5;
cr_lh = vmlal_laneq_u16(cr_lh, vget_high_u16(r_l), consts, 5);
cr_lh = vmlsl_laneq_u16(cr_lh, vget_high_u16(g_l), consts, 6);
cr_lh = vmlsl_laneq_u16(cr_lh, vget_high_u16(b_l), consts, 7);
uint32x4_t cr_hl = scaled_128_5;
cr_hl = vmlal_laneq_u16(cr_hl, vget_low_u16(r_h), consts, 5);
cr_hl = vmlsl_laneq_u16(cr_hl, vget_low_u16(g_h), consts, 6);
cr_hl = vmlsl_laneq_u16(cr_hl, vget_low_u16(b_h), consts, 7);
uint32x4_t cr_hh = scaled_128_5;
cr_hh = vmlal_laneq_u16(cr_hh, vget_high_u16(r_h), consts, 5);
cr_hh = vmlsl_laneq_u16(cr_hh, vget_high_u16(g_h), consts, 6);
cr_hh = vmlsl_laneq_u16(cr_hh, vget_high_u16(b_h), consts, 7);
/* Descale Y values (rounding right shift) and narrow to 16-bit. */
uint16x8_t y_l = vcombine_u16(vrshrn_n_u32(y_ll, 16),
vrshrn_n_u32(y_lh, 16));
uint16x8_t y_h = vcombine_u16(vrshrn_n_u32(y_hl, 16),
vrshrn_n_u32(y_hh, 16));
/* Descale Cb values (right shift) and narrow to 16-bit. */
uint16x8_t cb_l = vcombine_u16(vshrn_n_u32(cb_ll, 16),
vshrn_n_u32(cb_lh, 16));
uint16x8_t cb_h = vcombine_u16(vshrn_n_u32(cb_hl, 16),
vshrn_n_u32(cb_hh, 16));
/* Descale Cr values (right shift) and narrow to 16-bit. */
uint16x8_t cr_l = vcombine_u16(vshrn_n_u32(cr_ll, 16),
vshrn_n_u32(cr_lh, 16));
uint16x8_t cr_h = vcombine_u16(vshrn_n_u32(cr_hl, 16),
vshrn_n_u32(cr_hh, 16));
/* Narrow Y, Cb, and Cr values to 8-bit and store to memory. Buffer
* overwrite is permitted up to the next multiple of ALIGN_SIZE bytes.
*/
vst1q_u8(outptr0, vcombine_u8(vmovn_u16(y_l), vmovn_u16(y_h)));
vst1q_u8(outptr1, vcombine_u8(vmovn_u16(cb_l), vmovn_u16(cb_h)));
vst1q_u8(outptr2, vcombine_u8(vmovn_u16(cr_l), vmovn_u16(cr_h)));
} else if (cols_remaining > 0) {
/* To prevent buffer overread by the vector load instructions, the last
* (image_width % 8) columns of data are first memcopied to a temporary
* buffer large enough to accommodate the vector load.
*/
memcpy(tmp_buf, inptr, cols_remaining * RGB_PIXELSIZE);
inptr = tmp_buf;
#if RGB_PIXELSIZE == 4
uint8x8x4_t input_pixels = vld4_u8(inptr);
#else
uint8x8x3_t input_pixels = vld3_u8(inptr);
#endif
uint16x8_t r = vmovl_u8(input_pixels.val[RGB_RED]);
uint16x8_t g = vmovl_u8(input_pixels.val[RGB_GREEN]);
uint16x8_t b = vmovl_u8(input_pixels.val[RGB_BLUE]);
/* Compute Y = 0.29900 * R + 0.58700 * G + 0.11400 * B */
uint32x4_t y_l = vmull_laneq_u16(vget_low_u16(r), consts, 0);
y_l = vmlal_laneq_u16(y_l, vget_low_u16(g), consts, 1);
y_l = vmlal_laneq_u16(y_l, vget_low_u16(b), consts, 2);
uint32x4_t y_h = vmull_laneq_u16(vget_high_u16(r), consts, 0);
y_h = vmlal_laneq_u16(y_h, vget_high_u16(g), consts, 1);
y_h = vmlal_laneq_u16(y_h, vget_high_u16(b), consts, 2);
/* Compute Cb = -0.16874 * R - 0.33126 * G + 0.50000 * B + 128 */
uint32x4_t cb_l = scaled_128_5;
cb_l = vmlsl_laneq_u16(cb_l, vget_low_u16(r), consts, 3);
cb_l = vmlsl_laneq_u16(cb_l, vget_low_u16(g), consts, 4);
cb_l = vmlal_laneq_u16(cb_l, vget_low_u16(b), consts, 5);
uint32x4_t cb_h = scaled_128_5;
cb_h = vmlsl_laneq_u16(cb_h, vget_high_u16(r), consts, 3);
cb_h = vmlsl_laneq_u16(cb_h, vget_high_u16(g), consts, 4);
cb_h = vmlal_laneq_u16(cb_h, vget_high_u16(b), consts, 5);
/* Compute Cr = 0.50000 * R - 0.41869 * G - 0.08131 * B + 128 */
uint32x4_t cr_l = scaled_128_5;
cr_l = vmlal_laneq_u16(cr_l, vget_low_u16(r), consts, 5);
cr_l = vmlsl_laneq_u16(cr_l, vget_low_u16(g), consts, 6);
cr_l = vmlsl_laneq_u16(cr_l, vget_low_u16(b), consts, 7);
uint32x4_t cr_h = scaled_128_5;
cr_h = vmlal_laneq_u16(cr_h, vget_high_u16(r), consts, 5);
cr_h = vmlsl_laneq_u16(cr_h, vget_high_u16(g), consts, 6);
cr_h = vmlsl_laneq_u16(cr_h, vget_high_u16(b), consts, 7);
/* Descale Y values (rounding right shift) and narrow to 16-bit. */
uint16x8_t y_u16 = vcombine_u16(vrshrn_n_u32(y_l, 16),
vrshrn_n_u32(y_h, 16));
/* Descale Cb values (right shift) and narrow to 16-bit. */
uint16x8_t cb_u16 = vcombine_u16(vshrn_n_u32(cb_l, 16),
vshrn_n_u32(cb_h, 16));
/* Descale Cr values (right shift) and narrow to 16-bit. */
uint16x8_t cr_u16 = vcombine_u16(vshrn_n_u32(cr_l, 16),
vshrn_n_u32(cr_h, 16));
/* Narrow Y, Cb, and Cr values to 8-bit and store to memory. Buffer
* overwrite is permitted up to the next multiple of ALIGN_SIZE bytes.
*/
vst1_u8(outptr0, vmovn_u16(y_u16));
vst1_u8(outptr1, vmovn_u16(cb_u16));
vst1_u8(outptr2, vmovn_u16(cr_u16));
}
}
}
+411
View File
@@ -0,0 +1,411 @@
/*
* Huffman entropy encoding (64-bit Arm Neon)
*
* Copyright (C) 2020-2021, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, 2022, 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*
* NOTE: All referenced figures are from
* Recommendation ITU-T T.81 (1992) | ISO/IEC 10918-1:1994.
*/
#define JPEG_INTERNALS
#include "../../../src/jinclude.h"
#include "../../../src/jpeglib.h"
#include "../../../src/jsimd.h"
#include "../../../src/jdct.h"
#include "../../../src/jsimddct.h"
#include "../../jsimd.h"
#include "../align.h"
#include "../jchuff.h"
#include "neon-compat.h"
#include <limits.h>
#include <arm_neon.h>
ALIGN(16) static const uint8_t jsimd_huff_encode_one_block_consts[] = {
0, 1, 2, 3, 16, 17, 32, 33,
18, 19, 4, 5, 6, 7, 20, 21,
34, 35, 48, 49, 255, 255, 50, 51,
36, 37, 22, 23, 8, 9, 10, 11,
255, 255, 6, 7, 20, 21, 34, 35,
48, 49, 255, 255, 50, 51, 36, 37,
54, 55, 40, 41, 26, 27, 12, 13,
14, 15, 28, 29, 42, 43, 56, 57,
6, 7, 20, 21, 34, 35, 48, 49,
50, 51, 36, 37, 22, 23, 8, 9,
26, 27, 12, 13, 255, 255, 14, 15,
28, 29, 42, 43, 56, 57, 255, 255,
52, 53, 54, 55, 40, 41, 26, 27,
12, 13, 255, 255, 14, 15, 28, 29,
26, 27, 40, 41, 42, 43, 28, 29,
14, 15, 30, 31, 44, 45, 46, 47
};
/* The AArch64 implementation of the FLUSH() macro triggers a UBSan misaligned
* address warning because the macro sometimes writes a 64-bit value to a
* non-64-bit-aligned address. That behavior is technically undefined per
* the C specification, but it is supported by the AArch64 architecture and
* compilers.
*/
#if defined(__has_feature)
#if __has_feature(undefined_behavior_sanitizer)
__attribute__((no_sanitize("alignment")))
#endif
#endif
JOCTET *jsimd_huff_encode_one_block_neon(void *state, JOCTET *buffer,
JCOEFPTR block, int last_dc_val,
c_derived_tbl *dctbl,
c_derived_tbl *actbl)
{
uint16_t block_diff[DCTSIZE2];
/* Load lookup table indices for rows of zig-zag ordering. */
#ifdef HAVE_VLD1Q_U8_X4
const uint8x16x4_t idx_rows_0123 =
vld1q_u8_x4(jsimd_huff_encode_one_block_consts + 0 * DCTSIZE);
const uint8x16x4_t idx_rows_4567 =
vld1q_u8_x4(jsimd_huff_encode_one_block_consts + 8 * DCTSIZE);
#else
/* GCC does not currently support intrinsics vl1dq_<type>_x4(). */
const uint8x16x4_t idx_rows_0123 = { {
vld1q_u8(jsimd_huff_encode_one_block_consts + 0 * DCTSIZE),
vld1q_u8(jsimd_huff_encode_one_block_consts + 2 * DCTSIZE),
vld1q_u8(jsimd_huff_encode_one_block_consts + 4 * DCTSIZE),
vld1q_u8(jsimd_huff_encode_one_block_consts + 6 * DCTSIZE)
} };
const uint8x16x4_t idx_rows_4567 = { {
vld1q_u8(jsimd_huff_encode_one_block_consts + 8 * DCTSIZE),
vld1q_u8(jsimd_huff_encode_one_block_consts + 10 * DCTSIZE),
vld1q_u8(jsimd_huff_encode_one_block_consts + 12 * DCTSIZE),
vld1q_u8(jsimd_huff_encode_one_block_consts + 14 * DCTSIZE)
} };
#endif
/* Load 8x8 block of DCT coefficients. */
#ifdef HAVE_VLD1Q_U8_X4
const int8x16x4_t tbl_rows_0123 =
vld1q_s8_x4((int8_t *)(block + 0 * DCTSIZE));
const int8x16x4_t tbl_rows_4567 =
vld1q_s8_x4((int8_t *)(block + 4 * DCTSIZE));
#else
const int8x16x4_t tbl_rows_0123 = { {
vld1q_s8((int8_t *)(block + 0 * DCTSIZE)),
vld1q_s8((int8_t *)(block + 1 * DCTSIZE)),
vld1q_s8((int8_t *)(block + 2 * DCTSIZE)),
vld1q_s8((int8_t *)(block + 3 * DCTSIZE))
} };
const int8x16x4_t tbl_rows_4567 = { {
vld1q_s8((int8_t *)(block + 4 * DCTSIZE)),
vld1q_s8((int8_t *)(block + 5 * DCTSIZE)),
vld1q_s8((int8_t *)(block + 6 * DCTSIZE)),
vld1q_s8((int8_t *)(block + 7 * DCTSIZE))
} };
#endif
/* Initialise extra lookup tables. */
const int8x16x4_t tbl_rows_2345 = { {
tbl_rows_0123.val[2], tbl_rows_0123.val[3],
tbl_rows_4567.val[0], tbl_rows_4567.val[1]
} };
const int8x16x3_t tbl_rows_567 =
{ { tbl_rows_4567.val[1], tbl_rows_4567.val[2], tbl_rows_4567.val[3] } };
/* Shuffle coefficients into zig-zag order. */
int16x8_t row0 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_0123, idx_rows_0123.val[0]));
int16x8_t row1 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_0123, idx_rows_0123.val[1]));
int16x8_t row2 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_2345, idx_rows_0123.val[2]));
int16x8_t row3 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_0123, idx_rows_0123.val[3]));
int16x8_t row4 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_4567, idx_rows_4567.val[0]));
int16x8_t row5 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_2345, idx_rows_4567.val[1]));
int16x8_t row6 =
vreinterpretq_s16_s8(vqtbl4q_s8(tbl_rows_4567, idx_rows_4567.val[2]));
int16x8_t row7 =
vreinterpretq_s16_s8(vqtbl3q_s8(tbl_rows_567, idx_rows_4567.val[3]));
/* Compute DC coefficient difference value (F.1.1.5.1). */
row0 = vsetq_lane_s16(block[0] - last_dc_val, row0, 0);
/* Initialize AC coefficient lanes not reachable by lookup tables. */
row1 =
vsetq_lane_s16(vgetq_lane_s16(vreinterpretq_s16_s8(tbl_rows_4567.val[0]),
0), row1, 2);
row2 =
vsetq_lane_s16(vgetq_lane_s16(vreinterpretq_s16_s8(tbl_rows_0123.val[1]),
4), row2, 0);
row2 =
vsetq_lane_s16(vgetq_lane_s16(vreinterpretq_s16_s8(tbl_rows_4567.val[2]),
0), row2, 5);
row5 =
vsetq_lane_s16(vgetq_lane_s16(vreinterpretq_s16_s8(tbl_rows_0123.val[1]),
7), row5, 2);
row5 =
vsetq_lane_s16(vgetq_lane_s16(vreinterpretq_s16_s8(tbl_rows_4567.val[2]),
3), row5, 7);
row6 =
vsetq_lane_s16(vgetq_lane_s16(vreinterpretq_s16_s8(tbl_rows_0123.val[3]),
7), row6, 5);
/* DCT block is now in zig-zag order; start Huffman encoding process. */
/* Construct bitmap to accelerate encoding of AC coefficients. A set bit
* means that the corresponding coefficient != 0.
*/
uint16x8_t row0_ne_0 = vtstq_s16(row0, row0);
uint16x8_t row1_ne_0 = vtstq_s16(row1, row1);
uint16x8_t row2_ne_0 = vtstq_s16(row2, row2);
uint16x8_t row3_ne_0 = vtstq_s16(row3, row3);
uint16x8_t row4_ne_0 = vtstq_s16(row4, row4);
uint16x8_t row5_ne_0 = vtstq_s16(row5, row5);
uint16x8_t row6_ne_0 = vtstq_s16(row6, row6);
uint16x8_t row7_ne_0 = vtstq_s16(row7, row7);
uint8x16_t row10_ne_0 = vuzp1q_u8(vreinterpretq_u8_u16(row1_ne_0),
vreinterpretq_u8_u16(row0_ne_0));
uint8x16_t row32_ne_0 = vuzp1q_u8(vreinterpretq_u8_u16(row3_ne_0),
vreinterpretq_u8_u16(row2_ne_0));
uint8x16_t row54_ne_0 = vuzp1q_u8(vreinterpretq_u8_u16(row5_ne_0),
vreinterpretq_u8_u16(row4_ne_0));
uint8x16_t row76_ne_0 = vuzp1q_u8(vreinterpretq_u8_u16(row7_ne_0),
vreinterpretq_u8_u16(row6_ne_0));
/* { 0x80, 0x40, 0x20, 0x10, 0x08, 0x04, 0x02, 0x01 } */
const uint8x16_t bitmap_mask =
vreinterpretq_u8_u64(vdupq_n_u64(0x0102040810204080));
uint8x16_t bitmap_rows_10 = vandq_u8(row10_ne_0, bitmap_mask);
uint8x16_t bitmap_rows_32 = vandq_u8(row32_ne_0, bitmap_mask);
uint8x16_t bitmap_rows_54 = vandq_u8(row54_ne_0, bitmap_mask);
uint8x16_t bitmap_rows_76 = vandq_u8(row76_ne_0, bitmap_mask);
uint8x16_t bitmap_rows_3210 = vpaddq_u8(bitmap_rows_32, bitmap_rows_10);
uint8x16_t bitmap_rows_7654 = vpaddq_u8(bitmap_rows_76, bitmap_rows_54);
uint8x16_t bitmap_rows_76543210 = vpaddq_u8(bitmap_rows_7654,
bitmap_rows_3210);
uint8x8_t bitmap_all = vpadd_u8(vget_low_u8(bitmap_rows_76543210),
vget_high_u8(bitmap_rows_76543210));
/* Shift left to remove DC bit. */
bitmap_all =
vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(bitmap_all), 1));
/* Count bits set (number of non-zero coefficients) in bitmap. */
unsigned int non_zero_coefficients = vaddv_u8(vcnt_u8(bitmap_all));
/* Move bitmap to 64-bit scalar register. */
uint64_t bitmap = vget_lane_u64(vreinterpret_u64_u8(bitmap_all), 0);
/* Set up state and bit buffer for output bitstream. */
working_state *state_ptr = (working_state *)state;
int free_bits = state_ptr->cur.free_bits;
size_t put_buffer = state_ptr->cur.put_buffer;
/* Encode DC coefficient. */
/* For negative coeffs: diff = abs(coeff) -1 = ~abs(coeff) */
int16x8_t abs_row0 = vabsq_s16(row0);
int16x8_t row0_lz = vclzq_s16(abs_row0);
uint16x8_t row0_mask = vshlq_u16(vcltzq_s16(row0), vnegq_s16(row0_lz));
uint16x8_t row0_diff = veorq_u16(vreinterpretq_u16_s16(abs_row0), row0_mask);
/* Find nbits required to specify sign and amplitude of coefficient. */
unsigned int lz = vgetq_lane_u16(vreinterpretq_u16_s16(row0_lz), 0);
unsigned int nbits = 16 - lz;
/* Emit Huffman-coded symbol and additional diff bits. */
unsigned int diff = vgetq_lane_u16(row0_diff, 0);
PUT_CODE(dctbl->ehufco[nbits], dctbl->ehufsi[nbits], diff)
/* Encode AC coefficients. */
unsigned int r = 0; /* r = run length of zeros */
unsigned int i = 1; /* i = number of coefficients encoded */
/* Code and size information for a run length of 16 zero coefficients */
const unsigned int code_0xf0 = actbl->ehufco[0xf0];
const unsigned int size_0xf0 = actbl->ehufsi[0xf0];
/* The most efficient method of computing nbits and diff depends on the
* number of non-zero coefficients. If the bitmap is not too sparse (> 8
* non-zero AC coefficients), it is beneficial to do all of the work using
* Neon; else we do some of the work using Neon and the rest on demand using
* scalar code.
*/
if (non_zero_coefficients > 8) {
uint8_t block_nbits[DCTSIZE2];
int16x8_t abs_row1 = vabsq_s16(row1);
int16x8_t abs_row2 = vabsq_s16(row2);
int16x8_t abs_row3 = vabsq_s16(row3);
int16x8_t abs_row4 = vabsq_s16(row4);
int16x8_t abs_row5 = vabsq_s16(row5);
int16x8_t abs_row6 = vabsq_s16(row6);
int16x8_t abs_row7 = vabsq_s16(row7);
int16x8_t row1_lz = vclzq_s16(abs_row1);
int16x8_t row2_lz = vclzq_s16(abs_row2);
int16x8_t row3_lz = vclzq_s16(abs_row3);
int16x8_t row4_lz = vclzq_s16(abs_row4);
int16x8_t row5_lz = vclzq_s16(abs_row5);
int16x8_t row6_lz = vclzq_s16(abs_row6);
int16x8_t row7_lz = vclzq_s16(abs_row7);
/* Narrow leading zero count to 8 bits. */
uint8x16_t row01_lz = vuzp1q_u8(vreinterpretq_u8_s16(row0_lz),
vreinterpretq_u8_s16(row1_lz));
uint8x16_t row23_lz = vuzp1q_u8(vreinterpretq_u8_s16(row2_lz),
vreinterpretq_u8_s16(row3_lz));
uint8x16_t row45_lz = vuzp1q_u8(vreinterpretq_u8_s16(row4_lz),
vreinterpretq_u8_s16(row5_lz));
uint8x16_t row67_lz = vuzp1q_u8(vreinterpretq_u8_s16(row6_lz),
vreinterpretq_u8_s16(row7_lz));
/* Compute nbits needed to specify magnitude of each coefficient. */
uint8x16_t row01_nbits = vsubq_u8(vdupq_n_u8(16), row01_lz);
uint8x16_t row23_nbits = vsubq_u8(vdupq_n_u8(16), row23_lz);
uint8x16_t row45_nbits = vsubq_u8(vdupq_n_u8(16), row45_lz);
uint8x16_t row67_nbits = vsubq_u8(vdupq_n_u8(16), row67_lz);
/* Store nbits. */
vst1q_u8(block_nbits + 0 * DCTSIZE, row01_nbits);
vst1q_u8(block_nbits + 2 * DCTSIZE, row23_nbits);
vst1q_u8(block_nbits + 4 * DCTSIZE, row45_nbits);
vst1q_u8(block_nbits + 6 * DCTSIZE, row67_nbits);
/* Mask bits not required to specify sign and amplitude of diff. */
uint16x8_t row1_mask = vshlq_u16(vcltzq_s16(row1), vnegq_s16(row1_lz));
uint16x8_t row2_mask = vshlq_u16(vcltzq_s16(row2), vnegq_s16(row2_lz));
uint16x8_t row3_mask = vshlq_u16(vcltzq_s16(row3), vnegq_s16(row3_lz));
uint16x8_t row4_mask = vshlq_u16(vcltzq_s16(row4), vnegq_s16(row4_lz));
uint16x8_t row5_mask = vshlq_u16(vcltzq_s16(row5), vnegq_s16(row5_lz));
uint16x8_t row6_mask = vshlq_u16(vcltzq_s16(row6), vnegq_s16(row6_lz));
uint16x8_t row7_mask = vshlq_u16(vcltzq_s16(row7), vnegq_s16(row7_lz));
/* diff = abs(coeff) ^ sign(coeff) [no-op for positive coefficients] */
uint16x8_t row1_diff = veorq_u16(vreinterpretq_u16_s16(abs_row1),
row1_mask);
uint16x8_t row2_diff = veorq_u16(vreinterpretq_u16_s16(abs_row2),
row2_mask);
uint16x8_t row3_diff = veorq_u16(vreinterpretq_u16_s16(abs_row3),
row3_mask);
uint16x8_t row4_diff = veorq_u16(vreinterpretq_u16_s16(abs_row4),
row4_mask);
uint16x8_t row5_diff = veorq_u16(vreinterpretq_u16_s16(abs_row5),
row5_mask);
uint16x8_t row6_diff = veorq_u16(vreinterpretq_u16_s16(abs_row6),
row6_mask);
uint16x8_t row7_diff = veorq_u16(vreinterpretq_u16_s16(abs_row7),
row7_mask);
/* Store diff bits. */
vst1q_u16(block_diff + 0 * DCTSIZE, row0_diff);
vst1q_u16(block_diff + 1 * DCTSIZE, row1_diff);
vst1q_u16(block_diff + 2 * DCTSIZE, row2_diff);
vst1q_u16(block_diff + 3 * DCTSIZE, row3_diff);
vst1q_u16(block_diff + 4 * DCTSIZE, row4_diff);
vst1q_u16(block_diff + 5 * DCTSIZE, row5_diff);
vst1q_u16(block_diff + 6 * DCTSIZE, row6_diff);
vst1q_u16(block_diff + 7 * DCTSIZE, row7_diff);
while (bitmap != 0) {
r = BUILTIN_CLZLL(bitmap);
i += r;
bitmap <<= r;
nbits = block_nbits[i];
diff = block_diff[i];
while (r > 15) {
/* If run length > 15, emit special run-length-16 codes. */
PUT_BITS(code_0xf0, size_0xf0)
r -= 16;
}
/* Emit Huffman symbol for run length / number of bits. (F.1.2.2.1) */
unsigned int rs = (r << 4) + nbits;
PUT_CODE(actbl->ehufco[rs], actbl->ehufsi[rs], diff)
i++;
bitmap <<= 1;
}
} else if (bitmap != 0) {
uint16_t block_abs[DCTSIZE2];
/* Compute and store absolute value of coefficients. */
int16x8_t abs_row1 = vabsq_s16(row1);
int16x8_t abs_row2 = vabsq_s16(row2);
int16x8_t abs_row3 = vabsq_s16(row3);
int16x8_t abs_row4 = vabsq_s16(row4);
int16x8_t abs_row5 = vabsq_s16(row5);
int16x8_t abs_row6 = vabsq_s16(row6);
int16x8_t abs_row7 = vabsq_s16(row7);
vst1q_u16(block_abs + 0 * DCTSIZE, vreinterpretq_u16_s16(abs_row0));
vst1q_u16(block_abs + 1 * DCTSIZE, vreinterpretq_u16_s16(abs_row1));
vst1q_u16(block_abs + 2 * DCTSIZE, vreinterpretq_u16_s16(abs_row2));
vst1q_u16(block_abs + 3 * DCTSIZE, vreinterpretq_u16_s16(abs_row3));
vst1q_u16(block_abs + 4 * DCTSIZE, vreinterpretq_u16_s16(abs_row4));
vst1q_u16(block_abs + 5 * DCTSIZE, vreinterpretq_u16_s16(abs_row5));
vst1q_u16(block_abs + 6 * DCTSIZE, vreinterpretq_u16_s16(abs_row6));
vst1q_u16(block_abs + 7 * DCTSIZE, vreinterpretq_u16_s16(abs_row7));
/* Compute diff bits (without nbits mask) and store. */
uint16x8_t row1_diff = veorq_u16(vreinterpretq_u16_s16(abs_row1),
vcltzq_s16(row1));
uint16x8_t row2_diff = veorq_u16(vreinterpretq_u16_s16(abs_row2),
vcltzq_s16(row2));
uint16x8_t row3_diff = veorq_u16(vreinterpretq_u16_s16(abs_row3),
vcltzq_s16(row3));
uint16x8_t row4_diff = veorq_u16(vreinterpretq_u16_s16(abs_row4),
vcltzq_s16(row4));
uint16x8_t row5_diff = veorq_u16(vreinterpretq_u16_s16(abs_row5),
vcltzq_s16(row5));
uint16x8_t row6_diff = veorq_u16(vreinterpretq_u16_s16(abs_row6),
vcltzq_s16(row6));
uint16x8_t row7_diff = veorq_u16(vreinterpretq_u16_s16(abs_row7),
vcltzq_s16(row7));
vst1q_u16(block_diff + 0 * DCTSIZE, row0_diff);
vst1q_u16(block_diff + 1 * DCTSIZE, row1_diff);
vst1q_u16(block_diff + 2 * DCTSIZE, row2_diff);
vst1q_u16(block_diff + 3 * DCTSIZE, row3_diff);
vst1q_u16(block_diff + 4 * DCTSIZE, row4_diff);
vst1q_u16(block_diff + 5 * DCTSIZE, row5_diff);
vst1q_u16(block_diff + 6 * DCTSIZE, row6_diff);
vst1q_u16(block_diff + 7 * DCTSIZE, row7_diff);
/* Same as above but must mask diff bits and compute nbits on demand. */
while (bitmap != 0) {
r = BUILTIN_CLZLL(bitmap);
i += r;
bitmap <<= r;
lz = BUILTIN_CLZ(block_abs[i]);
nbits = 32 - lz;
diff = ((unsigned int)block_diff[i] << lz) >> lz;
while (r > 15) {
/* If run length > 15, emit special run-length-16 codes. */
PUT_BITS(code_0xf0, size_0xf0)
r -= 16;
}
/* Emit Huffman symbol for run length / number of bits. (F.1.2.2.1) */
unsigned int rs = (r << 4) + nbits;
PUT_CODE(actbl->ehufco[rs], actbl->ehufsi[rs], diff)
i++;
bitmap <<= 1;
}
}
/* If the last coefficient(s) were zero, emit an end-of-block (EOB) code.
* The value of RS for the EOB code is 0.
*/
if (i != 64) {
PUT_BITS(actbl->ehufco[0], actbl->ehufsi[0])
}
state_ptr->cur.put_buffer = put_buffer;
state_ptr->cur.free_bits = free_bits;
return buffer;
}
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/*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
/* How to obtain memory alignment for structures and variables */
#if defined(_MSC_VER)
#define ALIGN(alignment) __declspec(align(alignment))
#elif defined(__clang__) || defined(__GNUC__)
#define ALIGN(alignment) __attribute__((aligned(alignment)))
#else
#error "Unknown compiler"
#endif
+160
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/*
* Colorspace conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, 2024-2025, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* RGB -> YCbCr conversion constants */
#define F_0_298 19595
#define F_0_587 38470
#define F_0_113 7471
#define F_0_168 11059
#define F_0_331 21709
#define F_0_500 32768
#define F_0_418 27439
#define F_0_081 5329
ALIGN(16) static const uint16_t jsimd_rgb_ycc_neon_consts[] = {
F_0_298, F_0_587, F_0_113, F_0_168,
F_0_331, F_0_500, F_0_418, F_0_081
};
/* Include inline routines for colorspace extensions. */
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#define RGB_RED EXT_RGB_RED
#define RGB_GREEN EXT_RGB_GREEN
#define RGB_BLUE EXT_RGB_BLUE
#define RGB_PIXELSIZE EXT_RGB_PIXELSIZE
#define jsimd_rgb_ycc_convert_neon jsimd_extrgb_ycc_convert_neon
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_ycc_convert_neon
#define RGB_RED EXT_RGBX_RED
#define RGB_GREEN EXT_RGBX_GREEN
#define RGB_BLUE EXT_RGBX_BLUE
#define RGB_PIXELSIZE EXT_RGBX_PIXELSIZE
#define jsimd_rgb_ycc_convert_neon jsimd_extrgbx_ycc_convert_neon
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_ycc_convert_neon
#define RGB_RED EXT_BGR_RED
#define RGB_GREEN EXT_BGR_GREEN
#define RGB_BLUE EXT_BGR_BLUE
#define RGB_PIXELSIZE EXT_BGR_PIXELSIZE
#define jsimd_rgb_ycc_convert_neon jsimd_extbgr_ycc_convert_neon
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_ycc_convert_neon
#define RGB_RED EXT_BGRX_RED
#define RGB_GREEN EXT_BGRX_GREEN
#define RGB_BLUE EXT_BGRX_BLUE
#define RGB_PIXELSIZE EXT_BGRX_PIXELSIZE
#define jsimd_rgb_ycc_convert_neon jsimd_extbgrx_ycc_convert_neon
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_ycc_convert_neon
#define RGB_RED EXT_XBGR_RED
#define RGB_GREEN EXT_XBGR_GREEN
#define RGB_BLUE EXT_XBGR_BLUE
#define RGB_PIXELSIZE EXT_XBGR_PIXELSIZE
#define jsimd_rgb_ycc_convert_neon jsimd_extxbgr_ycc_convert_neon
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_ycc_convert_neon
#define RGB_RED EXT_XRGB_RED
#define RGB_GREEN EXT_XRGB_GREEN
#define RGB_BLUE EXT_XRGB_BLUE
#define RGB_PIXELSIZE EXT_XRGB_PIXELSIZE
#define jsimd_rgb_ycc_convert_neon jsimd_extxrgb_ycc_convert_neon
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#include "aarch64/jccolext-neon.c"
#else
#include "aarch32/jccolext-neon.c"
#endif
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_ycc_convert_neon
+122
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/*
* Grayscale colorspace conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* RGB -> Grayscale conversion constants */
#define F_0_298 19595
#define F_0_587 38470
#define F_0_113 7471
/* Include inline routines for colorspace extensions. */
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#define RGB_RED EXT_RGB_RED
#define RGB_GREEN EXT_RGB_GREEN
#define RGB_BLUE EXT_RGB_BLUE
#define RGB_PIXELSIZE EXT_RGB_PIXELSIZE
#define jsimd_rgb_gray_convert_neon jsimd_extrgb_gray_convert_neon
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_gray_convert_neon
#define RGB_RED EXT_RGBX_RED
#define RGB_GREEN EXT_RGBX_GREEN
#define RGB_BLUE EXT_RGBX_BLUE
#define RGB_PIXELSIZE EXT_RGBX_PIXELSIZE
#define jsimd_rgb_gray_convert_neon jsimd_extrgbx_gray_convert_neon
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_gray_convert_neon
#define RGB_RED EXT_BGR_RED
#define RGB_GREEN EXT_BGR_GREEN
#define RGB_BLUE EXT_BGR_BLUE
#define RGB_PIXELSIZE EXT_BGR_PIXELSIZE
#define jsimd_rgb_gray_convert_neon jsimd_extbgr_gray_convert_neon
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_gray_convert_neon
#define RGB_RED EXT_BGRX_RED
#define RGB_GREEN EXT_BGRX_GREEN
#define RGB_BLUE EXT_BGRX_BLUE
#define RGB_PIXELSIZE EXT_BGRX_PIXELSIZE
#define jsimd_rgb_gray_convert_neon jsimd_extbgrx_gray_convert_neon
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_gray_convert_neon
#define RGB_RED EXT_XBGR_RED
#define RGB_GREEN EXT_XBGR_GREEN
#define RGB_BLUE EXT_XBGR_BLUE
#define RGB_PIXELSIZE EXT_XBGR_PIXELSIZE
#define jsimd_rgb_gray_convert_neon jsimd_extxbgr_gray_convert_neon
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_gray_convert_neon
#define RGB_RED EXT_XRGB_RED
#define RGB_GREEN EXT_XRGB_GREEN
#define RGB_BLUE EXT_XRGB_BLUE
#define RGB_PIXELSIZE EXT_XRGB_PIXELSIZE
#define jsimd_rgb_gray_convert_neon jsimd_extxrgb_gray_convert_neon
#include "jcgryext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_rgb_gray_convert_neon
+106
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/*
* Grayscale colorspace conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
/* This file is included by jcgray-neon.c */
/* RGB -> Grayscale conversion is defined by the following equation:
* Y = 0.29900 * R + 0.58700 * G + 0.11400 * B
*
* Avoid floating point arithmetic by using shifted integer constants:
* 0.29899597 = 19595 * 2^-16
* 0.58700561 = 38470 * 2^-16
* 0.11399841 = 7471 * 2^-16
* These constants are defined in jcgray-neon.c
*
* This is the same computation as the RGB -> Y portion of RGB -> YCbCr.
*/
void jsimd_rgb_gray_convert_neon(JDIMENSION image_width, JSAMPARRAY input_buf,
JSAMPIMAGE output_buf, JDIMENSION output_row,
int num_rows)
{
JSAMPROW inptr;
JSAMPROW outptr;
/* Allocate temporary buffer for final (image_width % 16) pixels in row. */
ALIGN(16) uint8_t tmp_buf[16 * RGB_PIXELSIZE];
while (--num_rows >= 0) {
inptr = *input_buf++;
outptr = output_buf[0][output_row];
output_row++;
int cols_remaining = image_width;
for (; cols_remaining > 0; cols_remaining -= 16) {
/* To prevent buffer overread by the vector load instructions, the last
* (image_width % 16) columns of data are first memcopied to a temporary
* buffer large enough to accommodate the vector load.
*/
if (cols_remaining < 16) {
memcpy(tmp_buf, inptr, cols_remaining * RGB_PIXELSIZE);
inptr = tmp_buf;
}
#if RGB_PIXELSIZE == 4
uint8x16x4_t input_pixels = vld4q_u8(inptr);
#else
uint8x16x3_t input_pixels = vld3q_u8(inptr);
#endif
uint16x8_t r_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_RED]));
uint16x8_t r_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_RED]));
uint16x8_t g_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_GREEN]));
uint16x8_t g_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_GREEN]));
uint16x8_t b_l = vmovl_u8(vget_low_u8(input_pixels.val[RGB_BLUE]));
uint16x8_t b_h = vmovl_u8(vget_high_u8(input_pixels.val[RGB_BLUE]));
/* Compute Y = 0.29900 * R + 0.58700 * G + 0.11400 * B */
uint32x4_t y_ll = vmull_n_u16(vget_low_u16(r_l), F_0_298);
uint32x4_t y_lh = vmull_n_u16(vget_high_u16(r_l), F_0_298);
uint32x4_t y_hl = vmull_n_u16(vget_low_u16(r_h), F_0_298);
uint32x4_t y_hh = vmull_n_u16(vget_high_u16(r_h), F_0_298);
y_ll = vmlal_n_u16(y_ll, vget_low_u16(g_l), F_0_587);
y_lh = vmlal_n_u16(y_lh, vget_high_u16(g_l), F_0_587);
y_hl = vmlal_n_u16(y_hl, vget_low_u16(g_h), F_0_587);
y_hh = vmlal_n_u16(y_hh, vget_high_u16(g_h), F_0_587);
y_ll = vmlal_n_u16(y_ll, vget_low_u16(b_l), F_0_113);
y_lh = vmlal_n_u16(y_lh, vget_high_u16(b_l), F_0_113);
y_hl = vmlal_n_u16(y_hl, vget_low_u16(b_h), F_0_113);
y_hh = vmlal_n_u16(y_hh, vget_high_u16(b_h), F_0_113);
/* Descale Y values (rounding right shift) and narrow to 16-bit. */
uint16x8_t y_l = vcombine_u16(vrshrn_n_u32(y_ll, 16),
vrshrn_n_u32(y_lh, 16));
uint16x8_t y_h = vcombine_u16(vrshrn_n_u32(y_hl, 16),
vrshrn_n_u32(y_hh, 16));
/* Narrow Y values to 8-bit and store to memory. Buffer overwrite is
* permitted up to the next multiple of ALIGN_SIZE bytes.
*/
vst1q_u8(outptr, vcombine_u8(vmovn_u16(y_l), vmovn_u16(y_h)));
/* Increment pointers. */
inptr += (16 * RGB_PIXELSIZE);
outptr += 16;
}
}
}
+131
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/*
* jchuff.h
*
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1997, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2009, 2018, 2021, 2025, D. R. Commander.
* Copyright (C) 2018, Matthias Räncker.
* Copyright (C) 2020-2021, Arm Limited.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*/
/* Expanded entropy encoder object for Huffman encoding.
*
* The savable_state subrecord contains fields that change within an MCU,
* but must not be updated permanently until we complete the MCU.
*/
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#define BIT_BUF_SIZE 64
#else
#define BIT_BUF_SIZE 32
#endif
typedef struct {
size_t put_buffer; /* current bit accumulation buffer */
int free_bits; /* # of bits available in it */
int last_dc_val[MAX_COMPS_IN_SCAN]; /* last DC coef for each component */
} savable_state;
typedef struct {
JOCTET *next_output_byte; /* => next byte to write in buffer */
size_t free_in_buffer; /* # of byte spaces remaining in buffer */
savable_state cur; /* Current bit buffer & DC state */
j_compress_ptr cinfo; /* dump_buffer needs access to this */
int simd;
} working_state;
/* Outputting bits to the file */
/* Output byte b and, speculatively, an additional 0 byte. 0xFF must be encoded
* as 0xFF 0x00, so the output buffer pointer is advanced by 2 if the byte is
* 0xFF. Otherwise, the output buffer pointer is advanced by 1, and the
* speculative 0 byte will be overwritten by the next byte.
*/
#define EMIT_BYTE(b) { \
buffer[0] = (JOCTET)(b); \
buffer[1] = 0; \
buffer -= -2 + ((JOCTET)(b) < 0xFF); \
}
/* Output the entire bit buffer. If there are no 0xFF bytes in it, then write
* directly to the output buffer. Otherwise, use the EMIT_BYTE() macro to
* encode 0xFF as 0xFF 0x00.
*/
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#define FLUSH() { \
if (put_buffer & 0x8080808080808080 & ~(put_buffer + 0x0101010101010101)) { \
EMIT_BYTE(put_buffer >> 56) \
EMIT_BYTE(put_buffer >> 48) \
EMIT_BYTE(put_buffer >> 40) \
EMIT_BYTE(put_buffer >> 32) \
EMIT_BYTE(put_buffer >> 24) \
EMIT_BYTE(put_buffer >> 16) \
EMIT_BYTE(put_buffer >> 8) \
EMIT_BYTE(put_buffer ) \
} else { \
*((uint64_t *)buffer) = BUILTIN_BSWAP64(put_buffer); \
buffer += 8; \
} \
}
#else
#if defined(_MSC_VER) && !defined(__clang__)
#define SPLAT() { \
buffer[0] = (JOCTET)(put_buffer >> 24); \
buffer[1] = (JOCTET)(put_buffer >> 16); \
buffer[2] = (JOCTET)(put_buffer >> 8); \
buffer[3] = (JOCTET)(put_buffer ); \
buffer += 4; \
}
#else
#define SPLAT() { \
put_buffer = __builtin_bswap32(put_buffer); \
__asm__("str %1, [%0], #4" : "+r" (buffer) : "r" (put_buffer)); \
}
#endif
#define FLUSH() { \
if (put_buffer & 0x80808080 & ~(put_buffer + 0x01010101)) { \
EMIT_BYTE(put_buffer >> 24) \
EMIT_BYTE(put_buffer >> 16) \
EMIT_BYTE(put_buffer >> 8) \
EMIT_BYTE(put_buffer ) \
} else { \
SPLAT(); \
} \
}
#endif
/* Fill the bit buffer to capacity with the leading bits from code, then output
* the bit buffer and put the remaining bits from code into the bit buffer.
*/
#define PUT_AND_FLUSH(code, size) { \
put_buffer = (put_buffer << (size + free_bits)) | (code >> -free_bits); \
FLUSH() \
free_bits += BIT_BUF_SIZE; \
put_buffer = code; \
}
/* Insert code into the bit buffer and output the bit buffer if needed.
* NOTE: We can't flush with free_bits == 0, since the left shift in
* PUT_AND_FLUSH() would have undefined behavior.
*/
#define PUT_BITS(code, size) { \
free_bits -= size; \
if (free_bits < 0) \
PUT_AND_FLUSH(code, size) \
else \
put_buffer = (put_buffer << size) | code; \
}
#define PUT_CODE(code, size, diff) { \
diff |= code << nbits; \
nbits += size; \
PUT_BITS(diff, nbits) \
}
+623
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/*
* Prepare data for progressive Huffman encoding (Arm Neon)
*
* Copyright (C) 2020-2021, Arm Limited. All Rights Reserved.
* Copyright (C) 2022, Matthieu Darbois. All Rights Reserved.
* Copyright (C) 2022, 2024-2025, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* Data preparation for encode_mcu_AC_first().
*
* The equivalent scalar C function (encode_mcu_AC_first_prepare()) can be
* found in jcphuff.c.
*/
void jsimd_encode_mcu_AC_first_prepare_neon
(const JCOEF *block, const int *jpeg_natural_order_start, int Sl, int Al,
UJCOEF *values, size_t *zerobits)
{
UJCOEF *values_ptr = values;
UJCOEF *diff_values_ptr = values + DCTSIZE2;
/* Rows of coefficients to zero (since they haven't been processed) */
int i, rows_to_zero = 8;
for (i = 0; i < Sl / 16; i++) {
int16x8_t coefs1 = vld1q_dup_s16(block + jpeg_natural_order_start[0]);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[1], coefs1, 1);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[2], coefs1, 2);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[3], coefs1, 3);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[4], coefs1, 4);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[5], coefs1, 5);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[6], coefs1, 6);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[7], coefs1, 7);
int16x8_t coefs2 = vld1q_dup_s16(block + jpeg_natural_order_start[8]);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[9], coefs2, 1);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[10], coefs2, 2);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[11], coefs2, 3);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[12], coefs2, 4);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[13], coefs2, 5);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[14], coefs2, 6);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[15], coefs2, 7);
/* Isolate sign of coefficients. */
uint16x8_t sign_coefs1 = vreinterpretq_u16_s16(vshrq_n_s16(coefs1, 15));
uint16x8_t sign_coefs2 = vreinterpretq_u16_s16(vshrq_n_s16(coefs2, 15));
/* Compute absolute value of coefficients and apply point transform Al. */
uint16x8_t abs_coefs1 = vreinterpretq_u16_s16(vabsq_s16(coefs1));
uint16x8_t abs_coefs2 = vreinterpretq_u16_s16(vabsq_s16(coefs2));
abs_coefs1 = vshlq_u16(abs_coefs1, vdupq_n_s16(-Al));
abs_coefs2 = vshlq_u16(abs_coefs2, vdupq_n_s16(-Al));
/* Compute diff values. */
uint16x8_t diff1 = veorq_u16(abs_coefs1, sign_coefs1);
uint16x8_t diff2 = veorq_u16(abs_coefs2, sign_coefs2);
/* Store transformed coefficients and diff values. */
vst1q_u16(values_ptr, abs_coefs1);
vst1q_u16(values_ptr + DCTSIZE, abs_coefs2);
vst1q_u16(diff_values_ptr, diff1);
vst1q_u16(diff_values_ptr + DCTSIZE, diff2);
values_ptr += 16;
diff_values_ptr += 16;
jpeg_natural_order_start += 16;
rows_to_zero -= 2;
}
/* Same operation but for remaining partial vector */
int remaining_coefs = Sl % 16;
if (remaining_coefs > 8) {
int16x8_t coefs1 = vld1q_dup_s16(block + jpeg_natural_order_start[0]);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[1], coefs1, 1);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[2], coefs1, 2);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[3], coefs1, 3);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[4], coefs1, 4);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[5], coefs1, 5);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[6], coefs1, 6);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[7], coefs1, 7);
int16x8_t coefs2 = vdupq_n_s16(0);
switch (remaining_coefs) {
case 15:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[14], coefs2, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 14:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[13], coefs2, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 13:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[12], coefs2, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 12:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[11], coefs2, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 11:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[10], coefs2, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 10:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[9], coefs2, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 9:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[8], coefs2, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
/* Isolate sign of coefficients. */
uint16x8_t sign_coefs1 = vreinterpretq_u16_s16(vshrq_n_s16(coefs1, 15));
uint16x8_t sign_coefs2 = vreinterpretq_u16_s16(vshrq_n_s16(coefs2, 15));
/* Compute absolute value of coefficients and apply point transform Al. */
uint16x8_t abs_coefs1 = vreinterpretq_u16_s16(vabsq_s16(coefs1));
uint16x8_t abs_coefs2 = vreinterpretq_u16_s16(vabsq_s16(coefs2));
abs_coefs1 = vshlq_u16(abs_coefs1, vdupq_n_s16(-Al));
abs_coefs2 = vshlq_u16(abs_coefs2, vdupq_n_s16(-Al));
/* Compute diff values. */
uint16x8_t diff1 = veorq_u16(abs_coefs1, sign_coefs1);
uint16x8_t diff2 = veorq_u16(abs_coefs2, sign_coefs2);
/* Store transformed coefficients and diff values. */
vst1q_u16(values_ptr, abs_coefs1);
vst1q_u16(values_ptr + DCTSIZE, abs_coefs2);
vst1q_u16(diff_values_ptr, diff1);
vst1q_u16(diff_values_ptr + DCTSIZE, diff2);
values_ptr += 16;
diff_values_ptr += 16;
rows_to_zero -= 2;
} else if (remaining_coefs > 0) {
int16x8_t coefs = vdupq_n_s16(0);
switch (remaining_coefs) {
case 8:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[7], coefs, 7);
FALLTHROUGH /*FALLTHROUGH*/
case 7:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[6], coefs, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[5], coefs, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[4], coefs, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[3], coefs, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[2], coefs, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[1], coefs, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[0], coefs, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
/* Isolate sign of coefficients. */
uint16x8_t sign_coefs = vreinterpretq_u16_s16(vshrq_n_s16(coefs, 15));
/* Compute absolute value of coefficients and apply point transform Al. */
uint16x8_t abs_coefs = vreinterpretq_u16_s16(vabsq_s16(coefs));
abs_coefs = vshlq_u16(abs_coefs, vdupq_n_s16(-Al));
/* Compute diff values. */
uint16x8_t diff = veorq_u16(abs_coefs, sign_coefs);
/* Store transformed coefficients and diff values. */
vst1q_u16(values_ptr, abs_coefs);
vst1q_u16(diff_values_ptr, diff);
values_ptr += 8;
diff_values_ptr += 8;
rows_to_zero--;
}
/* Zero remaining memory in the values and diff_values blocks. */
for (i = 0; i < rows_to_zero; i++) {
vst1q_u16(values_ptr, vdupq_n_u16(0));
vst1q_u16(diff_values_ptr, vdupq_n_u16(0));
values_ptr += 8;
diff_values_ptr += 8;
}
/* Construct zerobits bitmap. A set bit means that the corresponding
* coefficient != 0.
*/
uint16x8_t row0 = vld1q_u16(values + 0 * DCTSIZE);
uint16x8_t row1 = vld1q_u16(values + 1 * DCTSIZE);
uint16x8_t row2 = vld1q_u16(values + 2 * DCTSIZE);
uint16x8_t row3 = vld1q_u16(values + 3 * DCTSIZE);
uint16x8_t row4 = vld1q_u16(values + 4 * DCTSIZE);
uint16x8_t row5 = vld1q_u16(values + 5 * DCTSIZE);
uint16x8_t row6 = vld1q_u16(values + 6 * DCTSIZE);
uint16x8_t row7 = vld1q_u16(values + 7 * DCTSIZE);
uint8x8_t row0_eq0 = vmovn_u16(vceqq_u16(row0, vdupq_n_u16(0)));
uint8x8_t row1_eq0 = vmovn_u16(vceqq_u16(row1, vdupq_n_u16(0)));
uint8x8_t row2_eq0 = vmovn_u16(vceqq_u16(row2, vdupq_n_u16(0)));
uint8x8_t row3_eq0 = vmovn_u16(vceqq_u16(row3, vdupq_n_u16(0)));
uint8x8_t row4_eq0 = vmovn_u16(vceqq_u16(row4, vdupq_n_u16(0)));
uint8x8_t row5_eq0 = vmovn_u16(vceqq_u16(row5, vdupq_n_u16(0)));
uint8x8_t row6_eq0 = vmovn_u16(vceqq_u16(row6, vdupq_n_u16(0)));
uint8x8_t row7_eq0 = vmovn_u16(vceqq_u16(row7, vdupq_n_u16(0)));
/* { 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80 } */
const uint8x8_t bitmap_mask =
vreinterpret_u8_u64(vmov_n_u64(0x8040201008040201));
row0_eq0 = vand_u8(row0_eq0, bitmap_mask);
row1_eq0 = vand_u8(row1_eq0, bitmap_mask);
row2_eq0 = vand_u8(row2_eq0, bitmap_mask);
row3_eq0 = vand_u8(row3_eq0, bitmap_mask);
row4_eq0 = vand_u8(row4_eq0, bitmap_mask);
row5_eq0 = vand_u8(row5_eq0, bitmap_mask);
row6_eq0 = vand_u8(row6_eq0, bitmap_mask);
row7_eq0 = vand_u8(row7_eq0, bitmap_mask);
uint8x8_t bitmap_rows_01 = vpadd_u8(row0_eq0, row1_eq0);
uint8x8_t bitmap_rows_23 = vpadd_u8(row2_eq0, row3_eq0);
uint8x8_t bitmap_rows_45 = vpadd_u8(row4_eq0, row5_eq0);
uint8x8_t bitmap_rows_67 = vpadd_u8(row6_eq0, row7_eq0);
uint8x8_t bitmap_rows_0123 = vpadd_u8(bitmap_rows_01, bitmap_rows_23);
uint8x8_t bitmap_rows_4567 = vpadd_u8(bitmap_rows_45, bitmap_rows_67);
uint8x8_t bitmap_all = vpadd_u8(bitmap_rows_0123, bitmap_rows_4567);
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
/* Move bitmap to a 64-bit scalar register. */
uint64_t bitmap = vget_lane_u64(vreinterpret_u64_u8(bitmap_all), 0);
/* Store zerobits bitmap. */
*zerobits = ~bitmap;
#else
/* Move bitmap to two 32-bit scalar registers. */
uint32_t bitmap0 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 0);
uint32_t bitmap1 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 1);
/* Store zerobits bitmap. */
zerobits[0] = ~bitmap0;
zerobits[1] = ~bitmap1;
#endif
}
/* Data preparation for encode_mcu_AC_refine().
*
* The equivalent scalar C function (encode_mcu_AC_refine_prepare()) can be
* found in jcphuff.c.
*/
int jsimd_encode_mcu_AC_refine_prepare_neon
(const JCOEF *block, const int *jpeg_natural_order_start, int Sl, int Al,
UJCOEF *absvalues, size_t *bits)
{
/* Temporary storage buffers for data used to compute the signbits bitmap and
* the end-of-block (EOB) position
*/
uint8_t coef_sign_bits[64];
uint8_t coef_eq1_bits[64];
UJCOEF *absvalues_ptr = absvalues;
uint8_t *coef_sign_bits_ptr = coef_sign_bits;
uint8_t *eq1_bits_ptr = coef_eq1_bits;
/* Rows of coefficients to zero (since they haven't been processed) */
int i, rows_to_zero = 8;
for (i = 0; i < Sl / 16; i++) {
int16x8_t coefs1 = vld1q_dup_s16(block + jpeg_natural_order_start[0]);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[1], coefs1, 1);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[2], coefs1, 2);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[3], coefs1, 3);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[4], coefs1, 4);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[5], coefs1, 5);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[6], coefs1, 6);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[7], coefs1, 7);
int16x8_t coefs2 = vld1q_dup_s16(block + jpeg_natural_order_start[8]);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[9], coefs2, 1);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[10], coefs2, 2);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[11], coefs2, 3);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[12], coefs2, 4);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[13], coefs2, 5);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[14], coefs2, 6);
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[15], coefs2, 7);
/* Compute and store data for signbits bitmap. */
uint8x8_t sign_coefs1 =
vmovn_u16(vreinterpretq_u16_s16(vshrq_n_s16(coefs1, 15)));
uint8x8_t sign_coefs2 =
vmovn_u16(vreinterpretq_u16_s16(vshrq_n_s16(coefs2, 15)));
vst1_u8(coef_sign_bits_ptr, sign_coefs1);
vst1_u8(coef_sign_bits_ptr + DCTSIZE, sign_coefs2);
/* Compute absolute value of coefficients and apply point transform Al. */
uint16x8_t abs_coefs1 = vreinterpretq_u16_s16(vabsq_s16(coefs1));
uint16x8_t abs_coefs2 = vreinterpretq_u16_s16(vabsq_s16(coefs2));
abs_coefs1 = vshlq_u16(abs_coefs1, vdupq_n_s16(-Al));
abs_coefs2 = vshlq_u16(abs_coefs2, vdupq_n_s16(-Al));
vst1q_u16(absvalues_ptr, abs_coefs1);
vst1q_u16(absvalues_ptr + DCTSIZE, abs_coefs2);
/* Test whether transformed coefficient values == 1 (used to find EOB
* position.)
*/
uint8x8_t coefs_eq11 = vmovn_u16(vceqq_u16(abs_coefs1, vdupq_n_u16(1)));
uint8x8_t coefs_eq12 = vmovn_u16(vceqq_u16(abs_coefs2, vdupq_n_u16(1)));
vst1_u8(eq1_bits_ptr, coefs_eq11);
vst1_u8(eq1_bits_ptr + DCTSIZE, coefs_eq12);
absvalues_ptr += 16;
coef_sign_bits_ptr += 16;
eq1_bits_ptr += 16;
jpeg_natural_order_start += 16;
rows_to_zero -= 2;
}
/* Same operation but for remaining partial vector */
int remaining_coefs = Sl % 16;
if (remaining_coefs > 8) {
int16x8_t coefs1 = vld1q_dup_s16(block + jpeg_natural_order_start[0]);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[1], coefs1, 1);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[2], coefs1, 2);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[3], coefs1, 3);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[4], coefs1, 4);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[5], coefs1, 5);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[6], coefs1, 6);
coefs1 = vld1q_lane_s16(block + jpeg_natural_order_start[7], coefs1, 7);
int16x8_t coefs2 = vdupq_n_s16(0);
switch (remaining_coefs) {
case 15:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[14], coefs2, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 14:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[13], coefs2, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 13:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[12], coefs2, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 12:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[11], coefs2, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 11:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[10], coefs2, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 10:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[9], coefs2, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 9:
coefs2 = vld1q_lane_s16(block + jpeg_natural_order_start[8], coefs2, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
/* Compute and store data for signbits bitmap. */
uint8x8_t sign_coefs1 =
vmovn_u16(vreinterpretq_u16_s16(vshrq_n_s16(coefs1, 15)));
uint8x8_t sign_coefs2 =
vmovn_u16(vreinterpretq_u16_s16(vshrq_n_s16(coefs2, 15)));
vst1_u8(coef_sign_bits_ptr, sign_coefs1);
vst1_u8(coef_sign_bits_ptr + DCTSIZE, sign_coefs2);
/* Compute absolute value of coefficients and apply point transform Al. */
uint16x8_t abs_coefs1 = vreinterpretq_u16_s16(vabsq_s16(coefs1));
uint16x8_t abs_coefs2 = vreinterpretq_u16_s16(vabsq_s16(coefs2));
abs_coefs1 = vshlq_u16(abs_coefs1, vdupq_n_s16(-Al));
abs_coefs2 = vshlq_u16(abs_coefs2, vdupq_n_s16(-Al));
vst1q_u16(absvalues_ptr, abs_coefs1);
vst1q_u16(absvalues_ptr + DCTSIZE, abs_coefs2);
/* Test whether transformed coefficient values == 1 (used to find EOB
* position.)
*/
uint8x8_t coefs_eq11 = vmovn_u16(vceqq_u16(abs_coefs1, vdupq_n_u16(1)));
uint8x8_t coefs_eq12 = vmovn_u16(vceqq_u16(abs_coefs2, vdupq_n_u16(1)));
vst1_u8(eq1_bits_ptr, coefs_eq11);
vst1_u8(eq1_bits_ptr + DCTSIZE, coefs_eq12);
absvalues_ptr += 16;
coef_sign_bits_ptr += 16;
eq1_bits_ptr += 16;
jpeg_natural_order_start += 16;
rows_to_zero -= 2;
} else if (remaining_coefs > 0) {
int16x8_t coefs = vdupq_n_s16(0);
switch (remaining_coefs) {
case 8:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[7], coefs, 7);
FALLTHROUGH /*FALLTHROUGH*/
case 7:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[6], coefs, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[5], coefs, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[4], coefs, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[3], coefs, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[2], coefs, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[1], coefs, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
coefs = vld1q_lane_s16(block + jpeg_natural_order_start[0], coefs, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
/* Compute and store data for signbits bitmap. */
uint8x8_t sign_coefs =
vmovn_u16(vreinterpretq_u16_s16(vshrq_n_s16(coefs, 15)));
vst1_u8(coef_sign_bits_ptr, sign_coefs);
/* Compute absolute value of coefficients and apply point transform Al. */
uint16x8_t abs_coefs = vreinterpretq_u16_s16(vabsq_s16(coefs));
abs_coefs = vshlq_u16(abs_coefs, vdupq_n_s16(-Al));
vst1q_u16(absvalues_ptr, abs_coefs);
/* Test whether transformed coefficient values == 1 (used to find EOB
* position.)
*/
uint8x8_t coefs_eq1 = vmovn_u16(vceqq_u16(abs_coefs, vdupq_n_u16(1)));
vst1_u8(eq1_bits_ptr, coefs_eq1);
absvalues_ptr += 8;
coef_sign_bits_ptr += 8;
eq1_bits_ptr += 8;
rows_to_zero--;
}
/* Zero remaining memory in blocks. */
for (i = 0; i < rows_to_zero; i++) {
vst1q_u16(absvalues_ptr, vdupq_n_u16(0));
vst1_u8(coef_sign_bits_ptr, vdup_n_u8(0));
vst1_u8(eq1_bits_ptr, vdup_n_u8(0));
absvalues_ptr += 8;
coef_sign_bits_ptr += 8;
eq1_bits_ptr += 8;
}
/* Construct zerobits bitmap. */
uint16x8_t abs_row0 = vld1q_u16(absvalues + 0 * DCTSIZE);
uint16x8_t abs_row1 = vld1q_u16(absvalues + 1 * DCTSIZE);
uint16x8_t abs_row2 = vld1q_u16(absvalues + 2 * DCTSIZE);
uint16x8_t abs_row3 = vld1q_u16(absvalues + 3 * DCTSIZE);
uint16x8_t abs_row4 = vld1q_u16(absvalues + 4 * DCTSIZE);
uint16x8_t abs_row5 = vld1q_u16(absvalues + 5 * DCTSIZE);
uint16x8_t abs_row6 = vld1q_u16(absvalues + 6 * DCTSIZE);
uint16x8_t abs_row7 = vld1q_u16(absvalues + 7 * DCTSIZE);
uint8x8_t abs_row0_eq0 = vmovn_u16(vceqq_u16(abs_row0, vdupq_n_u16(0)));
uint8x8_t abs_row1_eq0 = vmovn_u16(vceqq_u16(abs_row1, vdupq_n_u16(0)));
uint8x8_t abs_row2_eq0 = vmovn_u16(vceqq_u16(abs_row2, vdupq_n_u16(0)));
uint8x8_t abs_row3_eq0 = vmovn_u16(vceqq_u16(abs_row3, vdupq_n_u16(0)));
uint8x8_t abs_row4_eq0 = vmovn_u16(vceqq_u16(abs_row4, vdupq_n_u16(0)));
uint8x8_t abs_row5_eq0 = vmovn_u16(vceqq_u16(abs_row5, vdupq_n_u16(0)));
uint8x8_t abs_row6_eq0 = vmovn_u16(vceqq_u16(abs_row6, vdupq_n_u16(0)));
uint8x8_t abs_row7_eq0 = vmovn_u16(vceqq_u16(abs_row7, vdupq_n_u16(0)));
/* { 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80 } */
const uint8x8_t bitmap_mask =
vreinterpret_u8_u64(vmov_n_u64(0x8040201008040201));
abs_row0_eq0 = vand_u8(abs_row0_eq0, bitmap_mask);
abs_row1_eq0 = vand_u8(abs_row1_eq0, bitmap_mask);
abs_row2_eq0 = vand_u8(abs_row2_eq0, bitmap_mask);
abs_row3_eq0 = vand_u8(abs_row3_eq0, bitmap_mask);
abs_row4_eq0 = vand_u8(abs_row4_eq0, bitmap_mask);
abs_row5_eq0 = vand_u8(abs_row5_eq0, bitmap_mask);
abs_row6_eq0 = vand_u8(abs_row6_eq0, bitmap_mask);
abs_row7_eq0 = vand_u8(abs_row7_eq0, bitmap_mask);
uint8x8_t bitmap_rows_01 = vpadd_u8(abs_row0_eq0, abs_row1_eq0);
uint8x8_t bitmap_rows_23 = vpadd_u8(abs_row2_eq0, abs_row3_eq0);
uint8x8_t bitmap_rows_45 = vpadd_u8(abs_row4_eq0, abs_row5_eq0);
uint8x8_t bitmap_rows_67 = vpadd_u8(abs_row6_eq0, abs_row7_eq0);
uint8x8_t bitmap_rows_0123 = vpadd_u8(bitmap_rows_01, bitmap_rows_23);
uint8x8_t bitmap_rows_4567 = vpadd_u8(bitmap_rows_45, bitmap_rows_67);
uint8x8_t bitmap_all = vpadd_u8(bitmap_rows_0123, bitmap_rows_4567);
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
/* Move bitmap to a 64-bit scalar register. */
uint64_t bitmap = vget_lane_u64(vreinterpret_u64_u8(bitmap_all), 0);
/* Store zerobits bitmap. */
bits[0] = ~bitmap;
#else
/* Move bitmap to two 32-bit scalar registers. */
uint32_t bitmap0 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 0);
uint32_t bitmap1 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 1);
/* Store zerobits bitmap. */
bits[0] = ~bitmap0;
bits[1] = ~bitmap1;
#endif
/* Construct signbits bitmap. */
uint8x8_t signbits_row0 = vld1_u8(coef_sign_bits + 0 * DCTSIZE);
uint8x8_t signbits_row1 = vld1_u8(coef_sign_bits + 1 * DCTSIZE);
uint8x8_t signbits_row2 = vld1_u8(coef_sign_bits + 2 * DCTSIZE);
uint8x8_t signbits_row3 = vld1_u8(coef_sign_bits + 3 * DCTSIZE);
uint8x8_t signbits_row4 = vld1_u8(coef_sign_bits + 4 * DCTSIZE);
uint8x8_t signbits_row5 = vld1_u8(coef_sign_bits + 5 * DCTSIZE);
uint8x8_t signbits_row6 = vld1_u8(coef_sign_bits + 6 * DCTSIZE);
uint8x8_t signbits_row7 = vld1_u8(coef_sign_bits + 7 * DCTSIZE);
signbits_row0 = vand_u8(signbits_row0, bitmap_mask);
signbits_row1 = vand_u8(signbits_row1, bitmap_mask);
signbits_row2 = vand_u8(signbits_row2, bitmap_mask);
signbits_row3 = vand_u8(signbits_row3, bitmap_mask);
signbits_row4 = vand_u8(signbits_row4, bitmap_mask);
signbits_row5 = vand_u8(signbits_row5, bitmap_mask);
signbits_row6 = vand_u8(signbits_row6, bitmap_mask);
signbits_row7 = vand_u8(signbits_row7, bitmap_mask);
bitmap_rows_01 = vpadd_u8(signbits_row0, signbits_row1);
bitmap_rows_23 = vpadd_u8(signbits_row2, signbits_row3);
bitmap_rows_45 = vpadd_u8(signbits_row4, signbits_row5);
bitmap_rows_67 = vpadd_u8(signbits_row6, signbits_row7);
bitmap_rows_0123 = vpadd_u8(bitmap_rows_01, bitmap_rows_23);
bitmap_rows_4567 = vpadd_u8(bitmap_rows_45, bitmap_rows_67);
bitmap_all = vpadd_u8(bitmap_rows_0123, bitmap_rows_4567);
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
/* Move bitmap to a 64-bit scalar register. */
bitmap = vget_lane_u64(vreinterpret_u64_u8(bitmap_all), 0);
/* Store signbits bitmap. */
bits[1] = ~bitmap;
#else
/* Move bitmap to two 32-bit scalar registers. */
bitmap0 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 0);
bitmap1 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 1);
/* Store signbits bitmap. */
bits[2] = ~bitmap0;
bits[3] = ~bitmap1;
#endif
/* Construct bitmap to find EOB position (the index of the last coefficient
* equal to 1.)
*/
uint8x8_t row0_eq1 = vld1_u8(coef_eq1_bits + 0 * DCTSIZE);
uint8x8_t row1_eq1 = vld1_u8(coef_eq1_bits + 1 * DCTSIZE);
uint8x8_t row2_eq1 = vld1_u8(coef_eq1_bits + 2 * DCTSIZE);
uint8x8_t row3_eq1 = vld1_u8(coef_eq1_bits + 3 * DCTSIZE);
uint8x8_t row4_eq1 = vld1_u8(coef_eq1_bits + 4 * DCTSIZE);
uint8x8_t row5_eq1 = vld1_u8(coef_eq1_bits + 5 * DCTSIZE);
uint8x8_t row6_eq1 = vld1_u8(coef_eq1_bits + 6 * DCTSIZE);
uint8x8_t row7_eq1 = vld1_u8(coef_eq1_bits + 7 * DCTSIZE);
row0_eq1 = vand_u8(row0_eq1, bitmap_mask);
row1_eq1 = vand_u8(row1_eq1, bitmap_mask);
row2_eq1 = vand_u8(row2_eq1, bitmap_mask);
row3_eq1 = vand_u8(row3_eq1, bitmap_mask);
row4_eq1 = vand_u8(row4_eq1, bitmap_mask);
row5_eq1 = vand_u8(row5_eq1, bitmap_mask);
row6_eq1 = vand_u8(row6_eq1, bitmap_mask);
row7_eq1 = vand_u8(row7_eq1, bitmap_mask);
bitmap_rows_01 = vpadd_u8(row0_eq1, row1_eq1);
bitmap_rows_23 = vpadd_u8(row2_eq1, row3_eq1);
bitmap_rows_45 = vpadd_u8(row4_eq1, row5_eq1);
bitmap_rows_67 = vpadd_u8(row6_eq1, row7_eq1);
bitmap_rows_0123 = vpadd_u8(bitmap_rows_01, bitmap_rows_23);
bitmap_rows_4567 = vpadd_u8(bitmap_rows_45, bitmap_rows_67);
bitmap_all = vpadd_u8(bitmap_rows_0123, bitmap_rows_4567);
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
/* Move bitmap to a 64-bit scalar register. */
bitmap = vget_lane_u64(vreinterpret_u64_u8(bitmap_all), 0);
/* Return EOB position. */
if (bitmap == 0) {
/* EOB position is defined to be 0 if all coefficients != 1. */
return 0;
} else {
return 63 - BUILTIN_CLZLL(bitmap);
}
#else
/* Move bitmap to two 32-bit scalar registers. */
bitmap0 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 0);
bitmap1 = vget_lane_u32(vreinterpret_u32_u8(bitmap_all), 1);
/* Return EOB position. */
if (bitmap0 == 0 && bitmap1 == 0) {
return 0;
} else if (bitmap1 != 0) {
return 63 - BUILTIN_CLZ(bitmap1);
} else {
return 31 - BUILTIN_CLZ(bitmap0);
}
#endif
}
+194
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/*
* Downsampling (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2024-2025, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
ALIGN(16) static const uint8_t jsimd_h2_downsample_consts[] = {
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 0 */
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0F,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 1 */
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0E, 0x0E,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 2 */
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0D, 0x0D, 0x0D,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 3 */
0x08, 0x09, 0x0A, 0x0B, 0x0C, 0x0C, 0x0C, 0x0C,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 4 */
0x08, 0x09, 0x0A, 0x0B, 0x0B, 0x0B, 0x0B, 0x0B,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 5 */
0x08, 0x09, 0x0A, 0x0A, 0x0A, 0x0A, 0x0A, 0x0A,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 6 */
0x08, 0x09, 0x09, 0x09, 0x09, 0x09, 0x09, 0x09,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 7 */
0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, /* Pad 8 */
0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07, 0x07,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x06, /* Pad 9 */
0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06,
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x05, 0x05, /* Pad 10 */
0x05, 0x05, 0x05, 0x05, 0x05, 0x05, 0x05, 0x05,
0x00, 0x01, 0x02, 0x03, 0x04, 0x04, 0x04, 0x04, /* Pad 11 */
0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04,
0x00, 0x01, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, /* Pad 12 */
0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03,
0x00, 0x01, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, /* Pad 13 */
0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02,
0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, /* Pad 14 */
0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, /* Pad 15 */
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00
};
/* Downsample pixel values of a single component.
* This version handles the common case of 2:1 horizontal and 1:1 vertical,
* without smoothing.
*/
void jsimd_h2v1_downsample_neon(JDIMENSION image_width, int max_v_samp_factor,
JDIMENSION v_samp_factor,
JDIMENSION width_in_blocks,
JSAMPARRAY input_data, JSAMPARRAY output_data)
{
JSAMPROW inptr, outptr;
/* Load expansion mask to pad remaining elements of last DCT block. */
const int mask_offset = 16 * ((width_in_blocks * 2 * DCTSIZE) - image_width);
const uint8x16_t expand_mask =
vld1q_u8(&jsimd_h2_downsample_consts[mask_offset]);
/* Load bias pattern (alternating every pixel.) */
/* { 0, 1, 0, 1, 0, 1, 0, 1 } */
const uint16x8_t bias = vreinterpretq_u16_u32(vdupq_n_u32(0x00010000));
unsigned i, outrow;
for (outrow = 0; outrow < v_samp_factor; outrow++) {
outptr = output_data[outrow];
inptr = input_data[outrow];
/* Downsample all but the last DCT block of pixels. */
for (i = 0; i < width_in_blocks - 1; i++) {
uint8x16_t pixels = vld1q_u8(inptr + i * 2 * DCTSIZE);
/* Add adjacent pixel values, widen to 16-bit, and add bias. */
uint16x8_t samples_u16 = vpadalq_u8(bias, pixels);
/* Divide total by 2 and narrow to 8-bit. */
uint8x8_t samples_u8 = vshrn_n_u16(samples_u16, 1);
/* Store samples to memory. */
vst1_u8(outptr + i * DCTSIZE, samples_u8);
}
/* Load pixels in last DCT block into a table. */
uint8x16_t pixels = vld1q_u8(inptr + (width_in_blocks - 1) * 2 * DCTSIZE);
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
/* Pad the empty elements with the value of the last pixel. */
pixels = vqtbl1q_u8(pixels, expand_mask);
#else
uint8x8x2_t table = { { vget_low_u8(pixels), vget_high_u8(pixels) } };
pixels = vcombine_u8(vtbl2_u8(table, vget_low_u8(expand_mask)),
vtbl2_u8(table, vget_high_u8(expand_mask)));
#endif
/* Add adjacent pixel values, widen to 16-bit, and add bias. */
uint16x8_t samples_u16 = vpadalq_u8(bias, pixels);
/* Divide total by 2, narrow to 8-bit, and store. */
uint8x8_t samples_u8 = vshrn_n_u16(samples_u16, 1);
vst1_u8(outptr + (width_in_blocks - 1) * DCTSIZE, samples_u8);
}
}
/* Downsample pixel values of a single component.
* This version handles the standard case of 2:1 horizontal and 2:1 vertical,
* without smoothing.
*/
void jsimd_h2v2_downsample_neon(JDIMENSION image_width, int max_v_samp_factor,
JDIMENSION v_samp_factor,
JDIMENSION width_in_blocks,
JSAMPARRAY input_data, JSAMPARRAY output_data)
{
JSAMPROW inptr0, inptr1, outptr;
/* Load expansion mask to pad remaining elements of last DCT block. */
const int mask_offset = 16 * ((width_in_blocks * 2 * DCTSIZE) - image_width);
const uint8x16_t expand_mask =
vld1q_u8(&jsimd_h2_downsample_consts[mask_offset]);
/* Load bias pattern (alternating every pixel.) */
/* { 1, 2, 1, 2, 1, 2, 1, 2 } */
const uint16x8_t bias = vreinterpretq_u16_u32(vdupq_n_u32(0x00020001));
unsigned i, outrow;
for (outrow = 0; outrow < v_samp_factor; outrow++) {
outptr = output_data[outrow];
inptr0 = input_data[outrow];
inptr1 = input_data[outrow + 1];
/* Downsample all but the last DCT block of pixels. */
for (i = 0; i < width_in_blocks - 1; i++) {
uint8x16_t pixels_r0 = vld1q_u8(inptr0 + i * 2 * DCTSIZE);
uint8x16_t pixels_r1 = vld1q_u8(inptr1 + i * 2 * DCTSIZE);
/* Add adjacent pixel values in row 0, widen to 16-bit, and add bias. */
uint16x8_t samples_u16 = vpadalq_u8(bias, pixels_r0);
/* Add adjacent pixel values in row 1, widen to 16-bit, and accumulate.
*/
samples_u16 = vpadalq_u8(samples_u16, pixels_r1);
/* Divide total by 4 and narrow to 8-bit. */
uint8x8_t samples_u8 = vshrn_n_u16(samples_u16, 2);
/* Store samples to memory and increment pointers. */
vst1_u8(outptr + i * DCTSIZE, samples_u8);
}
/* Load pixels in last DCT block into a table. */
uint8x16_t pixels_r0 =
vld1q_u8(inptr0 + (width_in_blocks - 1) * 2 * DCTSIZE);
uint8x16_t pixels_r1 =
vld1q_u8(inptr1 + (width_in_blocks - 1) * 2 * DCTSIZE);
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
/* Pad the empty elements with the value of the last pixel. */
pixels_r0 = vqtbl1q_u8(pixels_r0, expand_mask);
pixels_r1 = vqtbl1q_u8(pixels_r1, expand_mask);
#else
uint8x8x2_t table_r0 =
{ { vget_low_u8(pixels_r0), vget_high_u8(pixels_r0) } };
uint8x8x2_t table_r1 =
{ { vget_low_u8(pixels_r1), vget_high_u8(pixels_r1) } };
pixels_r0 = vcombine_u8(vtbl2_u8(table_r0, vget_low_u8(expand_mask)),
vtbl2_u8(table_r0, vget_high_u8(expand_mask)));
pixels_r1 = vcombine_u8(vtbl2_u8(table_r1, vget_low_u8(expand_mask)),
vtbl2_u8(table_r1, vget_high_u8(expand_mask)));
#endif
/* Add adjacent pixel values in row 0, widen to 16-bit, and add bias. */
uint16x8_t samples_u16 = vpadalq_u8(bias, pixels_r0);
/* Add adjacent pixel values in row 1, widen to 16-bit, and accumulate. */
samples_u16 = vpadalq_u8(samples_u16, pixels_r1);
/* Divide total by 4, narrow to 8-bit, and store. */
uint8x8_t samples_u8 = vshrn_n_u16(samples_u16, 2);
vst1_u8(outptr + (width_in_blocks - 1) * DCTSIZE, samples_u8);
}
}
+374
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/*
* Colorspace conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
/* This file is included by jdcolor-neon.c. */
/* YCbCr -> RGB conversion is defined by the following equations:
* R = Y + 1.40200 * (Cr - 128)
* G = Y - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128)
* B = Y + 1.77200 * (Cb - 128)
*
* Scaled integer constants are used to avoid floating-point arithmetic:
* 0.3441467 = 11277 * 2^-15
* 0.7141418 = 23401 * 2^-15
* 1.4020386 = 22971 * 2^-14
* 1.7720337 = 29033 * 2^-14
* These constants are defined in jdcolor-neon.c.
*
* To ensure correct results, rounding is used when descaling.
*/
/* Notes on safe memory access for YCbCr -> RGB conversion routines:
*
* Input memory buffers can be safely overread up to the next multiple of
* ALIGN_SIZE bytes, since they are always allocated by alloc_sarray() in
* jmemmgr.c.
*
* The output buffer cannot safely be written beyond output_width, since
* output_buf points to a possibly unpadded row in the decompressed image
* buffer allocated by the calling program.
*/
void jsimd_ycc_rgb_convert_neon(JDIMENSION output_width, JSAMPIMAGE input_buf,
JDIMENSION input_row, JSAMPARRAY output_buf,
int num_rows)
{
JSAMPROW outptr;
/* Pointers to Y, Cb, and Cr data */
JSAMPROW inptr0, inptr1, inptr2;
const int16x4_t consts = vld1_s16(jsimd_ycc_rgb_convert_neon_consts);
const int16x8_t neg_128 = vdupq_n_s16(-128);
while (--num_rows >= 0) {
inptr0 = input_buf[0][input_row];
inptr1 = input_buf[1][input_row];
inptr2 = input_buf[2][input_row];
input_row++;
outptr = *output_buf++;
int cols_remaining = output_width;
for (; cols_remaining >= 16; cols_remaining -= 16) {
uint8x16_t y = vld1q_u8(inptr0);
uint8x16_t cb = vld1q_u8(inptr1);
uint8x16_t cr = vld1q_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128_l =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128),
vget_low_u8(cr)));
int16x8_t cr_128_h =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128),
vget_high_u8(cr)));
int16x8_t cb_128_l =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128),
vget_low_u8(cb)));
int16x8_t cb_128_h =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128),
vget_high_u8(cb)));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_ll = vmull_lane_s16(vget_low_s16(cb_128_l), consts, 0);
int32x4_t g_sub_y_lh = vmull_lane_s16(vget_high_s16(cb_128_l),
consts, 0);
int32x4_t g_sub_y_hl = vmull_lane_s16(vget_low_s16(cb_128_h), consts, 0);
int32x4_t g_sub_y_hh = vmull_lane_s16(vget_high_s16(cb_128_h),
consts, 0);
g_sub_y_ll = vmlsl_lane_s16(g_sub_y_ll, vget_low_s16(cr_128_l),
consts, 1);
g_sub_y_lh = vmlsl_lane_s16(g_sub_y_lh, vget_high_s16(cr_128_l),
consts, 1);
g_sub_y_hl = vmlsl_lane_s16(g_sub_y_hl, vget_low_s16(cr_128_h),
consts, 1);
g_sub_y_hh = vmlsl_lane_s16(g_sub_y_hh, vget_high_s16(cr_128_h),
consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y_l = vcombine_s16(vrshrn_n_s32(g_sub_y_ll, 15),
vrshrn_n_s32(g_sub_y_lh, 15));
int16x8_t g_sub_y_h = vcombine_s16(vrshrn_n_s32(g_sub_y_hl, 15),
vrshrn_n_s32(g_sub_y_hh, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y_l = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128_l, 1),
consts, 2);
int16x8_t r_sub_y_h = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128_h, 1),
consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y_l = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128_l, 1),
consts, 3);
int16x8_t b_sub_y_h = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128_h, 1),
consts, 3);
/* Add Y. */
int16x8_t r_l =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y_l),
vget_low_u8(y)));
int16x8_t r_h =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y_h),
vget_high_u8(y)));
int16x8_t b_l =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y_l),
vget_low_u8(y)));
int16x8_t b_h =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y_h),
vget_high_u8(y)));
int16x8_t g_l =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y_l),
vget_low_u8(y)));
int16x8_t g_h =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y_h),
vget_high_u8(y)));
#if RGB_PIXELSIZE == 4
uint8x16x4_t rgba;
/* Convert each component to unsigned and narrow, clamping to [0-255]. */
rgba.val[RGB_RED] = vcombine_u8(vqmovun_s16(r_l), vqmovun_s16(r_h));
rgba.val[RGB_GREEN] = vcombine_u8(vqmovun_s16(g_l), vqmovun_s16(g_h));
rgba.val[RGB_BLUE] = vcombine_u8(vqmovun_s16(b_l), vqmovun_s16(b_h));
/* Set alpha channel to opaque (0xFF). */
rgba.val[RGB_ALPHA] = vdupq_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
vst4q_u8(outptr, rgba);
#elif RGB_PIXELSIZE == 3
uint8x16x3_t rgb;
/* Convert each component to unsigned and narrow, clamping to [0-255]. */
rgb.val[RGB_RED] = vcombine_u8(vqmovun_s16(r_l), vqmovun_s16(r_h));
rgb.val[RGB_GREEN] = vcombine_u8(vqmovun_s16(g_l), vqmovun_s16(g_h));
rgb.val[RGB_BLUE] = vcombine_u8(vqmovun_s16(b_l), vqmovun_s16(b_h));
/* Store RGB pixel data to memory. */
vst3q_u8(outptr, rgb);
#else
/* Pack R, G, and B values in ratio 5:6:5. */
uint16x8_t rgb565_l = vqshluq_n_s16(r_l, 8);
rgb565_l = vsriq_n_u16(rgb565_l, vqshluq_n_s16(g_l, 8), 5);
rgb565_l = vsriq_n_u16(rgb565_l, vqshluq_n_s16(b_l, 8), 11);
uint16x8_t rgb565_h = vqshluq_n_s16(r_h, 8);
rgb565_h = vsriq_n_u16(rgb565_h, vqshluq_n_s16(g_h, 8), 5);
rgb565_h = vsriq_n_u16(rgb565_h, vqshluq_n_s16(b_h, 8), 11);
/* Store RGB pixel data to memory. */
vst1q_u16((uint16_t *)outptr, rgb565_l);
vst1q_u16(((uint16_t *)outptr) + 8, rgb565_h);
#endif
/* Increment pointers. */
inptr0 += 16;
inptr1 += 16;
inptr2 += 16;
outptr += (RGB_PIXELSIZE * 16);
}
if (cols_remaining >= 8) {
uint8x8_t y = vld1_u8(inptr0);
uint8x8_t cb = vld1_u8(inptr1);
uint8x8_t cr = vld1_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cr));
int16x8_t cb_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cb));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_l = vmull_lane_s16(vget_low_s16(cb_128), consts, 0);
int32x4_t g_sub_y_h = vmull_lane_s16(vget_high_s16(cb_128), consts, 0);
g_sub_y_l = vmlsl_lane_s16(g_sub_y_l, vget_low_s16(cr_128), consts, 1);
g_sub_y_h = vmlsl_lane_s16(g_sub_y_h, vget_high_s16(cr_128), consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y = vcombine_s16(vrshrn_n_s32(g_sub_y_l, 15),
vrshrn_n_s32(g_sub_y_h, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128, 1),
consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128, 1),
consts, 3);
/* Add Y. */
int16x8_t r =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y), y));
int16x8_t b =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y), y));
int16x8_t g =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y), y));
#if RGB_PIXELSIZE == 4
uint8x8x4_t rgba;
/* Convert each component to unsigned and narrow, clamping to [0-255]. */
rgba.val[RGB_RED] = vqmovun_s16(r);
rgba.val[RGB_GREEN] = vqmovun_s16(g);
rgba.val[RGB_BLUE] = vqmovun_s16(b);
/* Set alpha channel to opaque (0xFF). */
rgba.val[RGB_ALPHA] = vdup_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
vst4_u8(outptr, rgba);
#elif RGB_PIXELSIZE == 3
uint8x8x3_t rgb;
/* Convert each component to unsigned and narrow, clamping to [0-255]. */
rgb.val[RGB_RED] = vqmovun_s16(r);
rgb.val[RGB_GREEN] = vqmovun_s16(g);
rgb.val[RGB_BLUE] = vqmovun_s16(b);
/* Store RGB pixel data to memory. */
vst3_u8(outptr, rgb);
#else
/* Pack R, G, and B values in ratio 5:6:5. */
uint16x8_t rgb565 = vqshluq_n_s16(r, 8);
rgb565 = vsriq_n_u16(rgb565, vqshluq_n_s16(g, 8), 5);
rgb565 = vsriq_n_u16(rgb565, vqshluq_n_s16(b, 8), 11);
/* Store RGB pixel data to memory. */
vst1q_u16((uint16_t *)outptr, rgb565);
#endif
/* Increment pointers. */
inptr0 += 8;
inptr1 += 8;
inptr2 += 8;
outptr += (RGB_PIXELSIZE * 8);
cols_remaining -= 8;
}
/* Handle the tail elements. */
if (cols_remaining > 0) {
uint8x8_t y = vld1_u8(inptr0);
uint8x8_t cb = vld1_u8(inptr1);
uint8x8_t cr = vld1_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cr));
int16x8_t cb_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cb));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_l = vmull_lane_s16(vget_low_s16(cb_128), consts, 0);
int32x4_t g_sub_y_h = vmull_lane_s16(vget_high_s16(cb_128), consts, 0);
g_sub_y_l = vmlsl_lane_s16(g_sub_y_l, vget_low_s16(cr_128), consts, 1);
g_sub_y_h = vmlsl_lane_s16(g_sub_y_h, vget_high_s16(cr_128), consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y = vcombine_s16(vrshrn_n_s32(g_sub_y_l, 15),
vrshrn_n_s32(g_sub_y_h, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128, 1),
consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128, 1),
consts, 3);
/* Add Y. */
int16x8_t r =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y), y));
int16x8_t b =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y), y));
int16x8_t g =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y), y));
#if RGB_PIXELSIZE == 4
uint8x8x4_t rgba;
/* Convert each component to unsigned and narrow, clamping to [0-255]. */
rgba.val[RGB_RED] = vqmovun_s16(r);
rgba.val[RGB_GREEN] = vqmovun_s16(g);
rgba.val[RGB_BLUE] = vqmovun_s16(b);
/* Set alpha channel to opaque (0xFF). */
rgba.val[RGB_ALPHA] = vdup_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
switch (cols_remaining) {
case 7:
vst4_lane_u8(outptr + 6 * RGB_PIXELSIZE, rgba, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst4_lane_u8(outptr + 5 * RGB_PIXELSIZE, rgba, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst4_lane_u8(outptr + 4 * RGB_PIXELSIZE, rgba, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst4_lane_u8(outptr + 3 * RGB_PIXELSIZE, rgba, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst4_lane_u8(outptr + 2 * RGB_PIXELSIZE, rgba, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst4_lane_u8(outptr + RGB_PIXELSIZE, rgba, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst4_lane_u8(outptr, rgba, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#elif RGB_PIXELSIZE == 3
uint8x8x3_t rgb;
/* Convert each component to unsigned and narrow, clamping to [0-255]. */
rgb.val[RGB_RED] = vqmovun_s16(r);
rgb.val[RGB_GREEN] = vqmovun_s16(g);
rgb.val[RGB_BLUE] = vqmovun_s16(b);
/* Store RGB pixel data to memory. */
switch (cols_remaining) {
case 7:
vst3_lane_u8(outptr + 6 * RGB_PIXELSIZE, rgb, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst3_lane_u8(outptr + 5 * RGB_PIXELSIZE, rgb, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst3_lane_u8(outptr + 4 * RGB_PIXELSIZE, rgb, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst3_lane_u8(outptr + 3 * RGB_PIXELSIZE, rgb, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst3_lane_u8(outptr + 2 * RGB_PIXELSIZE, rgb, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst3_lane_u8(outptr + RGB_PIXELSIZE, rgb, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst3_lane_u8(outptr, rgb, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#else
/* Pack R, G, and B values in ratio 5:6:5. */
uint16x8_t rgb565 = vqshluq_n_s16(r, 8);
rgb565 = vsriq_n_u16(rgb565, vqshluq_n_s16(g, 8), 5);
rgb565 = vsriq_n_u16(rgb565, vqshluq_n_s16(b, 8), 11);
/* Store RGB565 pixel data to memory. */
switch (cols_remaining) {
case 7:
vst1q_lane_u16((uint16_t *)(outptr + 6 * RGB_PIXELSIZE), rgb565, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst1q_lane_u16((uint16_t *)(outptr + 5 * RGB_PIXELSIZE), rgb565, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst1q_lane_u16((uint16_t *)(outptr + 4 * RGB_PIXELSIZE), rgb565, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst1q_lane_u16((uint16_t *)(outptr + 3 * RGB_PIXELSIZE), rgb565, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst1q_lane_u16((uint16_t *)(outptr + 2 * RGB_PIXELSIZE), rgb565, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst1q_lane_u16((uint16_t *)(outptr + RGB_PIXELSIZE), rgb565, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst1q_lane_u16((uint16_t *)outptr, rgb565, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#endif
}
}
}
+143
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@@ -0,0 +1,143 @@
/*
* Colorspace conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* YCbCr -> RGB conversion constants */
#define F_0_344 11277 /* 0.3441467 = 11277 * 2^-15 */
#define F_0_714 23401 /* 0.7141418 = 23401 * 2^-15 */
#define F_1_402 22971 /* 1.4020386 = 22971 * 2^-14 */
#define F_1_772 29033 /* 1.7720337 = 29033 * 2^-14 */
ALIGN(16) static const int16_t jsimd_ycc_rgb_convert_neon_consts[] = {
-F_0_344, F_0_714, F_1_402, F_1_772
};
/* Include inline routines for colorspace extensions. */
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#define RGB_RED EXT_RGB_RED
#define RGB_GREEN EXT_RGB_GREEN
#define RGB_BLUE EXT_RGB_BLUE
#define RGB_PIXELSIZE EXT_RGB_PIXELSIZE
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_extrgb_convert_neon
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
#define RGB_RED EXT_RGBX_RED
#define RGB_GREEN EXT_RGBX_GREEN
#define RGB_BLUE EXT_RGBX_BLUE
#define RGB_ALPHA 3
#define RGB_PIXELSIZE EXT_RGBX_PIXELSIZE
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_extrgbx_convert_neon
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
#define RGB_RED EXT_BGR_RED
#define RGB_GREEN EXT_BGR_GREEN
#define RGB_BLUE EXT_BGR_BLUE
#define RGB_PIXELSIZE EXT_BGR_PIXELSIZE
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_extbgr_convert_neon
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
#define RGB_RED EXT_BGRX_RED
#define RGB_GREEN EXT_BGRX_GREEN
#define RGB_BLUE EXT_BGRX_BLUE
#define RGB_ALPHA 3
#define RGB_PIXELSIZE EXT_BGRX_PIXELSIZE
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_extbgrx_convert_neon
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
#define RGB_RED EXT_XBGR_RED
#define RGB_GREEN EXT_XBGR_GREEN
#define RGB_BLUE EXT_XBGR_BLUE
#define RGB_ALPHA 0
#define RGB_PIXELSIZE EXT_XBGR_PIXELSIZE
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_extxbgr_convert_neon
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
#define RGB_RED EXT_XRGB_RED
#define RGB_GREEN EXT_XRGB_GREEN
#define RGB_BLUE EXT_XRGB_BLUE
#define RGB_ALPHA 0
#define RGB_PIXELSIZE EXT_XRGB_PIXELSIZE
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_extxrgb_convert_neon
#include "jdcolext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
/* YCbCr -> RGB565 Conversion */
#define RGB_PIXELSIZE 2
#define jsimd_ycc_rgb_convert_neon jsimd_ycc_rgb565_convert_neon
#include "jdcolext-neon.c"
#undef RGB_PIXELSIZE
#undef jsimd_ycc_rgb_convert_neon
+146
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@@ -0,0 +1,146 @@
/*
* Merged upsampling/color conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* YCbCr -> RGB conversion constants */
#define F_0_344 11277 /* 0.3441467 = 11277 * 2^-15 */
#define F_0_714 23401 /* 0.7141418 = 23401 * 2^-15 */
#define F_1_402 22971 /* 1.4020386 = 22971 * 2^-14 */
#define F_1_772 29033 /* 1.7720337 = 29033 * 2^-14 */
ALIGN(16) static const int16_t jsimd_ycc_rgb_convert_neon_consts[] = {
-F_0_344, F_0_714, F_1_402, F_1_772
};
/* Include inline routines for colorspace extensions. */
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#define RGB_RED EXT_RGB_RED
#define RGB_GREEN EXT_RGB_GREEN
#define RGB_BLUE EXT_RGB_BLUE
#define RGB_PIXELSIZE EXT_RGB_PIXELSIZE
#define jsimd_h2v1_merged_upsample_neon jsimd_h2v1_extrgb_merged_upsample_neon
#define jsimd_h2v2_merged_upsample_neon jsimd_h2v2_extrgb_merged_upsample_neon
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_h2v1_merged_upsample_neon
#undef jsimd_h2v2_merged_upsample_neon
#define RGB_RED EXT_RGBX_RED
#define RGB_GREEN EXT_RGBX_GREEN
#define RGB_BLUE EXT_RGBX_BLUE
#define RGB_ALPHA 3
#define RGB_PIXELSIZE EXT_RGBX_PIXELSIZE
#define jsimd_h2v1_merged_upsample_neon jsimd_h2v1_extrgbx_merged_upsample_neon
#define jsimd_h2v2_merged_upsample_neon jsimd_h2v2_extrgbx_merged_upsample_neon
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_h2v1_merged_upsample_neon
#undef jsimd_h2v2_merged_upsample_neon
#define RGB_RED EXT_BGR_RED
#define RGB_GREEN EXT_BGR_GREEN
#define RGB_BLUE EXT_BGR_BLUE
#define RGB_PIXELSIZE EXT_BGR_PIXELSIZE
#define jsimd_h2v1_merged_upsample_neon jsimd_h2v1_extbgr_merged_upsample_neon
#define jsimd_h2v2_merged_upsample_neon jsimd_h2v2_extbgr_merged_upsample_neon
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_PIXELSIZE
#undef jsimd_h2v1_merged_upsample_neon
#undef jsimd_h2v2_merged_upsample_neon
#define RGB_RED EXT_BGRX_RED
#define RGB_GREEN EXT_BGRX_GREEN
#define RGB_BLUE EXT_BGRX_BLUE
#define RGB_ALPHA 3
#define RGB_PIXELSIZE EXT_BGRX_PIXELSIZE
#define jsimd_h2v1_merged_upsample_neon jsimd_h2v1_extbgrx_merged_upsample_neon
#define jsimd_h2v2_merged_upsample_neon jsimd_h2v2_extbgrx_merged_upsample_neon
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_h2v1_merged_upsample_neon
#undef jsimd_h2v2_merged_upsample_neon
#define RGB_RED EXT_XBGR_RED
#define RGB_GREEN EXT_XBGR_GREEN
#define RGB_BLUE EXT_XBGR_BLUE
#define RGB_ALPHA 0
#define RGB_PIXELSIZE EXT_XBGR_PIXELSIZE
#define jsimd_h2v1_merged_upsample_neon jsimd_h2v1_extxbgr_merged_upsample_neon
#define jsimd_h2v2_merged_upsample_neon jsimd_h2v2_extxbgr_merged_upsample_neon
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_h2v1_merged_upsample_neon
#undef jsimd_h2v2_merged_upsample_neon
#define RGB_RED EXT_XRGB_RED
#define RGB_GREEN EXT_XRGB_GREEN
#define RGB_BLUE EXT_XRGB_BLUE
#define RGB_ALPHA 0
#define RGB_PIXELSIZE EXT_XRGB_PIXELSIZE
#define jsimd_h2v1_merged_upsample_neon jsimd_h2v1_extxrgb_merged_upsample_neon
#define jsimd_h2v2_merged_upsample_neon jsimd_h2v2_extxrgb_merged_upsample_neon
#include "jdmrgext-neon.c"
#undef RGB_RED
#undef RGB_GREEN
#undef RGB_BLUE
#undef RGB_ALPHA
#undef RGB_PIXELSIZE
#undef jsimd_h2v1_merged_upsample_neon
+723
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@@ -0,0 +1,723 @@
/*
* Merged upsampling/color conversion (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
/* This file is included by jdmerge-neon.c. */
/* These routines combine simple (non-fancy, i.e. non-smooth) h2v1 or h2v2
* chroma upsampling and YCbCr -> RGB color conversion into a single function.
*
* As with the standalone functions, YCbCr -> RGB conversion is defined by the
* following equations:
* R = Y + 1.40200 * (Cr - 128)
* G = Y - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128)
* B = Y + 1.77200 * (Cb - 128)
*
* Scaled integer constants are used to avoid floating-point arithmetic:
* 0.3441467 = 11277 * 2^-15
* 0.7141418 = 23401 * 2^-15
* 1.4020386 = 22971 * 2^-14
* 1.7720337 = 29033 * 2^-14
* These constants are defined in jdmerge-neon.c.
*
* To ensure correct results, rounding is used when descaling.
*/
/* Notes on safe memory access for merged upsampling/YCbCr -> RGB conversion
* routines:
*
* Input memory buffers can be safely overread up to the next multiple of
* ALIGN_SIZE bytes, since they are always allocated by alloc_sarray() in
* jmemmgr.c.
*
* The output buffer cannot safely be written beyond output_width, since
* output_buf points to a possibly unpadded row in the decompressed image
* buffer allocated by the calling program.
*/
/* Upsample and color convert for the case of 2:1 horizontal and 1:1 vertical.
*/
void jsimd_h2v1_merged_upsample_neon(JDIMENSION output_width,
JSAMPIMAGE input_buf,
JDIMENSION in_row_group_ctr,
JSAMPARRAY output_buf)
{
JSAMPROW outptr;
/* Pointers to Y, Cb, and Cr data */
JSAMPROW inptr0, inptr1, inptr2;
const int16x4_t consts = vld1_s16(jsimd_ycc_rgb_convert_neon_consts);
const int16x8_t neg_128 = vdupq_n_s16(-128);
inptr0 = input_buf[0][in_row_group_ctr];
inptr1 = input_buf[1][in_row_group_ctr];
inptr2 = input_buf[2][in_row_group_ctr];
outptr = output_buf[0];
int cols_remaining = output_width;
for (; cols_remaining >= 16; cols_remaining -= 16) {
/* De-interleave Y component values into two separate vectors, one
* containing the component values with even-numbered indices and one
* containing the component values with odd-numbered indices.
*/
uint8x8x2_t y = vld2_u8(inptr0);
uint8x8_t cb = vld1_u8(inptr1);
uint8x8_t cr = vld1_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cr));
int16x8_t cb_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cb));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_l = vmull_lane_s16(vget_low_s16(cb_128), consts, 0);
int32x4_t g_sub_y_h = vmull_lane_s16(vget_high_s16(cb_128), consts, 0);
g_sub_y_l = vmlsl_lane_s16(g_sub_y_l, vget_low_s16(cr_128), consts, 1);
g_sub_y_h = vmlsl_lane_s16(g_sub_y_h, vget_high_s16(cr_128), consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y = vcombine_s16(vrshrn_n_s32(g_sub_y_l, 15),
vrshrn_n_s32(g_sub_y_h, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128, 1), consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128, 1), consts, 3);
/* Add the chroma-derived values (G-Y, R-Y, and B-Y) to both the "even" and
* "odd" Y component values. This effectively upsamples the chroma
* components horizontally.
*/
int16x8_t g_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y.val[0]));
int16x8_t r_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y.val[0]));
int16x8_t b_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y.val[0]));
int16x8_t g_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y.val[1]));
int16x8_t r_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y.val[1]));
int16x8_t b_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y.val[1]));
/* Convert each component to unsigned and narrow, clamping to [0-255].
* Re-interleave the "even" and "odd" component values.
*/
uint8x8x2_t r = vzip_u8(vqmovun_s16(r_even), vqmovun_s16(r_odd));
uint8x8x2_t g = vzip_u8(vqmovun_s16(g_even), vqmovun_s16(g_odd));
uint8x8x2_t b = vzip_u8(vqmovun_s16(b_even), vqmovun_s16(b_odd));
#ifdef RGB_ALPHA
uint8x16x4_t rgba;
rgba.val[RGB_RED] = vcombine_u8(r.val[0], r.val[1]);
rgba.val[RGB_GREEN] = vcombine_u8(g.val[0], g.val[1]);
rgba.val[RGB_BLUE] = vcombine_u8(b.val[0], b.val[1]);
/* Set alpha channel to opaque (0xFF). */
rgba.val[RGB_ALPHA] = vdupq_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
vst4q_u8(outptr, rgba);
#else
uint8x16x3_t rgb;
rgb.val[RGB_RED] = vcombine_u8(r.val[0], r.val[1]);
rgb.val[RGB_GREEN] = vcombine_u8(g.val[0], g.val[1]);
rgb.val[RGB_BLUE] = vcombine_u8(b.val[0], b.val[1]);
/* Store RGB pixel data to memory. */
vst3q_u8(outptr, rgb);
#endif
/* Increment pointers. */
inptr0 += 16;
inptr1 += 8;
inptr2 += 8;
outptr += (RGB_PIXELSIZE * 16);
}
if (cols_remaining > 0) {
/* De-interleave Y component values into two separate vectors, one
* containing the component values with even-numbered indices and one
* containing the component values with odd-numbered indices.
*/
uint8x8x2_t y = vld2_u8(inptr0);
uint8x8_t cb = vld1_u8(inptr1);
uint8x8_t cr = vld1_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cr));
int16x8_t cb_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cb));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_l = vmull_lane_s16(vget_low_s16(cb_128), consts, 0);
int32x4_t g_sub_y_h = vmull_lane_s16(vget_high_s16(cb_128), consts, 0);
g_sub_y_l = vmlsl_lane_s16(g_sub_y_l, vget_low_s16(cr_128), consts, 1);
g_sub_y_h = vmlsl_lane_s16(g_sub_y_h, vget_high_s16(cr_128), consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y = vcombine_s16(vrshrn_n_s32(g_sub_y_l, 15),
vrshrn_n_s32(g_sub_y_h, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128, 1), consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128, 1), consts, 3);
/* Add the chroma-derived values (G-Y, R-Y, and B-Y) to both the "even" and
* "odd" Y component values. This effectively upsamples the chroma
* components horizontally.
*/
int16x8_t g_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y.val[0]));
int16x8_t r_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y.val[0]));
int16x8_t b_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y.val[0]));
int16x8_t g_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y.val[1]));
int16x8_t r_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y.val[1]));
int16x8_t b_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y.val[1]));
/* Convert each component to unsigned and narrow, clamping to [0-255].
* Re-interleave the "even" and "odd" component values.
*/
uint8x8x2_t r = vzip_u8(vqmovun_s16(r_even), vqmovun_s16(r_odd));
uint8x8x2_t g = vzip_u8(vqmovun_s16(g_even), vqmovun_s16(g_odd));
uint8x8x2_t b = vzip_u8(vqmovun_s16(b_even), vqmovun_s16(b_odd));
#ifdef RGB_ALPHA
uint8x8x4_t rgba_h;
rgba_h.val[RGB_RED] = r.val[1];
rgba_h.val[RGB_GREEN] = g.val[1];
rgba_h.val[RGB_BLUE] = b.val[1];
/* Set alpha channel to opaque (0xFF). */
rgba_h.val[RGB_ALPHA] = vdup_n_u8(0xFF);
uint8x8x4_t rgba_l;
rgba_l.val[RGB_RED] = r.val[0];
rgba_l.val[RGB_GREEN] = g.val[0];
rgba_l.val[RGB_BLUE] = b.val[0];
/* Set alpha channel to opaque (0xFF). */
rgba_l.val[RGB_ALPHA] = vdup_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
switch (cols_remaining) {
case 15:
vst4_lane_u8(outptr + 14 * RGB_PIXELSIZE, rgba_h, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 14:
vst4_lane_u8(outptr + 13 * RGB_PIXELSIZE, rgba_h, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 13:
vst4_lane_u8(outptr + 12 * RGB_PIXELSIZE, rgba_h, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 12:
vst4_lane_u8(outptr + 11 * RGB_PIXELSIZE, rgba_h, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 11:
vst4_lane_u8(outptr + 10 * RGB_PIXELSIZE, rgba_h, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 10:
vst4_lane_u8(outptr + 9 * RGB_PIXELSIZE, rgba_h, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 9:
vst4_lane_u8(outptr + 8 * RGB_PIXELSIZE, rgba_h, 0);
FALLTHROUGH /*FALLTHROUGH*/
case 8:
vst4_u8(outptr, rgba_l);
break;
case 7:
vst4_lane_u8(outptr + 6 * RGB_PIXELSIZE, rgba_l, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst4_lane_u8(outptr + 5 * RGB_PIXELSIZE, rgba_l, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst4_lane_u8(outptr + 4 * RGB_PIXELSIZE, rgba_l, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst4_lane_u8(outptr + 3 * RGB_PIXELSIZE, rgba_l, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst4_lane_u8(outptr + 2 * RGB_PIXELSIZE, rgba_l, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst4_lane_u8(outptr + RGB_PIXELSIZE, rgba_l, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst4_lane_u8(outptr, rgba_l, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#else
uint8x8x3_t rgb_h;
rgb_h.val[RGB_RED] = r.val[1];
rgb_h.val[RGB_GREEN] = g.val[1];
rgb_h.val[RGB_BLUE] = b.val[1];
uint8x8x3_t rgb_l;
rgb_l.val[RGB_RED] = r.val[0];
rgb_l.val[RGB_GREEN] = g.val[0];
rgb_l.val[RGB_BLUE] = b.val[0];
/* Store RGB pixel data to memory. */
switch (cols_remaining) {
case 15:
vst3_lane_u8(outptr + 14 * RGB_PIXELSIZE, rgb_h, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 14:
vst3_lane_u8(outptr + 13 * RGB_PIXELSIZE, rgb_h, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 13:
vst3_lane_u8(outptr + 12 * RGB_PIXELSIZE, rgb_h, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 12:
vst3_lane_u8(outptr + 11 * RGB_PIXELSIZE, rgb_h, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 11:
vst3_lane_u8(outptr + 10 * RGB_PIXELSIZE, rgb_h, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 10:
vst3_lane_u8(outptr + 9 * RGB_PIXELSIZE, rgb_h, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 9:
vst3_lane_u8(outptr + 8 * RGB_PIXELSIZE, rgb_h, 0);
FALLTHROUGH /*FALLTHROUGH*/
case 8:
vst3_u8(outptr, rgb_l);
break;
case 7:
vst3_lane_u8(outptr + 6 * RGB_PIXELSIZE, rgb_l, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst3_lane_u8(outptr + 5 * RGB_PIXELSIZE, rgb_l, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst3_lane_u8(outptr + 4 * RGB_PIXELSIZE, rgb_l, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst3_lane_u8(outptr + 3 * RGB_PIXELSIZE, rgb_l, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst3_lane_u8(outptr + 2 * RGB_PIXELSIZE, rgb_l, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst3_lane_u8(outptr + RGB_PIXELSIZE, rgb_l, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst3_lane_u8(outptr, rgb_l, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#endif
}
}
/* Upsample and color convert for the case of 2:1 horizontal and 2:1 vertical.
*
* See comments above for details regarding color conversion and safe memory
* access.
*/
void jsimd_h2v2_merged_upsample_neon(JDIMENSION output_width,
JSAMPIMAGE input_buf,
JDIMENSION in_row_group_ctr,
JSAMPARRAY output_buf)
{
JSAMPROW outptr0, outptr1;
/* Pointers to Y (both rows), Cb, and Cr data */
JSAMPROW inptr0_0, inptr0_1, inptr1, inptr2;
const int16x4_t consts = vld1_s16(jsimd_ycc_rgb_convert_neon_consts);
const int16x8_t neg_128 = vdupq_n_s16(-128);
inptr0_0 = input_buf[0][in_row_group_ctr * 2];
inptr0_1 = input_buf[0][in_row_group_ctr * 2 + 1];
inptr1 = input_buf[1][in_row_group_ctr];
inptr2 = input_buf[2][in_row_group_ctr];
outptr0 = output_buf[0];
outptr1 = output_buf[1];
int cols_remaining = output_width;
for (; cols_remaining >= 16; cols_remaining -= 16) {
/* For each row, de-interleave Y component values into two separate
* vectors, one containing the component values with even-numbered indices
* and one containing the component values with odd-numbered indices.
*/
uint8x8x2_t y0 = vld2_u8(inptr0_0);
uint8x8x2_t y1 = vld2_u8(inptr0_1);
uint8x8_t cb = vld1_u8(inptr1);
uint8x8_t cr = vld1_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cr));
int16x8_t cb_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cb));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_l = vmull_lane_s16(vget_low_s16(cb_128), consts, 0);
int32x4_t g_sub_y_h = vmull_lane_s16(vget_high_s16(cb_128), consts, 0);
g_sub_y_l = vmlsl_lane_s16(g_sub_y_l, vget_low_s16(cr_128), consts, 1);
g_sub_y_h = vmlsl_lane_s16(g_sub_y_h, vget_high_s16(cr_128), consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y = vcombine_s16(vrshrn_n_s32(g_sub_y_l, 15),
vrshrn_n_s32(g_sub_y_h, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128, 1), consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128, 1), consts, 3);
/* For each row, add the chroma-derived values (G-Y, R-Y, and B-Y) to both
* the "even" and "odd" Y component values. This effectively upsamples the
* chroma components both horizontally and vertically.
*/
int16x8_t g0_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y0.val[0]));
int16x8_t r0_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y0.val[0]));
int16x8_t b0_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y0.val[0]));
int16x8_t g0_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y0.val[1]));
int16x8_t r0_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y0.val[1]));
int16x8_t b0_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y0.val[1]));
int16x8_t g1_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y1.val[0]));
int16x8_t r1_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y1.val[0]));
int16x8_t b1_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y1.val[0]));
int16x8_t g1_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y1.val[1]));
int16x8_t r1_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y1.val[1]));
int16x8_t b1_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y1.val[1]));
/* Convert each component to unsigned and narrow, clamping to [0-255].
* Re-interleave the "even" and "odd" component values.
*/
uint8x8x2_t r0 = vzip_u8(vqmovun_s16(r0_even), vqmovun_s16(r0_odd));
uint8x8x2_t r1 = vzip_u8(vqmovun_s16(r1_even), vqmovun_s16(r1_odd));
uint8x8x2_t g0 = vzip_u8(vqmovun_s16(g0_even), vqmovun_s16(g0_odd));
uint8x8x2_t g1 = vzip_u8(vqmovun_s16(g1_even), vqmovun_s16(g1_odd));
uint8x8x2_t b0 = vzip_u8(vqmovun_s16(b0_even), vqmovun_s16(b0_odd));
uint8x8x2_t b1 = vzip_u8(vqmovun_s16(b1_even), vqmovun_s16(b1_odd));
#ifdef RGB_ALPHA
uint8x16x4_t rgba0, rgba1;
rgba0.val[RGB_RED] = vcombine_u8(r0.val[0], r0.val[1]);
rgba1.val[RGB_RED] = vcombine_u8(r1.val[0], r1.val[1]);
rgba0.val[RGB_GREEN] = vcombine_u8(g0.val[0], g0.val[1]);
rgba1.val[RGB_GREEN] = vcombine_u8(g1.val[0], g1.val[1]);
rgba0.val[RGB_BLUE] = vcombine_u8(b0.val[0], b0.val[1]);
rgba1.val[RGB_BLUE] = vcombine_u8(b1.val[0], b1.val[1]);
/* Set alpha channel to opaque (0xFF). */
rgba0.val[RGB_ALPHA] = vdupq_n_u8(0xFF);
rgba1.val[RGB_ALPHA] = vdupq_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
vst4q_u8(outptr0, rgba0);
vst4q_u8(outptr1, rgba1);
#else
uint8x16x3_t rgb0, rgb1;
rgb0.val[RGB_RED] = vcombine_u8(r0.val[0], r0.val[1]);
rgb1.val[RGB_RED] = vcombine_u8(r1.val[0], r1.val[1]);
rgb0.val[RGB_GREEN] = vcombine_u8(g0.val[0], g0.val[1]);
rgb1.val[RGB_GREEN] = vcombine_u8(g1.val[0], g1.val[1]);
rgb0.val[RGB_BLUE] = vcombine_u8(b0.val[0], b0.val[1]);
rgb1.val[RGB_BLUE] = vcombine_u8(b1.val[0], b1.val[1]);
/* Store RGB pixel data to memory. */
vst3q_u8(outptr0, rgb0);
vst3q_u8(outptr1, rgb1);
#endif
/* Increment pointers. */
inptr0_0 += 16;
inptr0_1 += 16;
inptr1 += 8;
inptr2 += 8;
outptr0 += (RGB_PIXELSIZE * 16);
outptr1 += (RGB_PIXELSIZE * 16);
}
if (cols_remaining > 0) {
/* For each row, de-interleave Y component values into two separate
* vectors, one containing the component values with even-numbered indices
* and one containing the component values with odd-numbered indices.
*/
uint8x8x2_t y0 = vld2_u8(inptr0_0);
uint8x8x2_t y1 = vld2_u8(inptr0_1);
uint8x8_t cb = vld1_u8(inptr1);
uint8x8_t cr = vld1_u8(inptr2);
/* Subtract 128 from Cb and Cr. */
int16x8_t cr_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cr));
int16x8_t cb_128 =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(neg_128), cb));
/* Compute G-Y: - 0.34414 * (Cb - 128) - 0.71414 * (Cr - 128) */
int32x4_t g_sub_y_l = vmull_lane_s16(vget_low_s16(cb_128), consts, 0);
int32x4_t g_sub_y_h = vmull_lane_s16(vget_high_s16(cb_128), consts, 0);
g_sub_y_l = vmlsl_lane_s16(g_sub_y_l, vget_low_s16(cr_128), consts, 1);
g_sub_y_h = vmlsl_lane_s16(g_sub_y_h, vget_high_s16(cr_128), consts, 1);
/* Descale G components: shift right 15, round, and narrow to 16-bit. */
int16x8_t g_sub_y = vcombine_s16(vrshrn_n_s32(g_sub_y_l, 15),
vrshrn_n_s32(g_sub_y_h, 15));
/* Compute R-Y: 1.40200 * (Cr - 128) */
int16x8_t r_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cr_128, 1), consts, 2);
/* Compute B-Y: 1.77200 * (Cb - 128) */
int16x8_t b_sub_y = vqrdmulhq_lane_s16(vshlq_n_s16(cb_128, 1), consts, 3);
/* For each row, add the chroma-derived values (G-Y, R-Y, and B-Y) to both
* the "even" and "odd" Y component values. This effectively upsamples the
* chroma components both horizontally and vertically.
*/
int16x8_t g0_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y0.val[0]));
int16x8_t r0_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y0.val[0]));
int16x8_t b0_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y0.val[0]));
int16x8_t g0_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y0.val[1]));
int16x8_t r0_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y0.val[1]));
int16x8_t b0_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y0.val[1]));
int16x8_t g1_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y1.val[0]));
int16x8_t r1_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y1.val[0]));
int16x8_t b1_even =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y1.val[0]));
int16x8_t g1_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(g_sub_y),
y1.val[1]));
int16x8_t r1_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(r_sub_y),
y1.val[1]));
int16x8_t b1_odd =
vreinterpretq_s16_u16(vaddw_u8(vreinterpretq_u16_s16(b_sub_y),
y1.val[1]));
/* Convert each component to unsigned and narrow, clamping to [0-255].
* Re-interleave the "even" and "odd" component values.
*/
uint8x8x2_t r0 = vzip_u8(vqmovun_s16(r0_even), vqmovun_s16(r0_odd));
uint8x8x2_t r1 = vzip_u8(vqmovun_s16(r1_even), vqmovun_s16(r1_odd));
uint8x8x2_t g0 = vzip_u8(vqmovun_s16(g0_even), vqmovun_s16(g0_odd));
uint8x8x2_t g1 = vzip_u8(vqmovun_s16(g1_even), vqmovun_s16(g1_odd));
uint8x8x2_t b0 = vzip_u8(vqmovun_s16(b0_even), vqmovun_s16(b0_odd));
uint8x8x2_t b1 = vzip_u8(vqmovun_s16(b1_even), vqmovun_s16(b1_odd));
#ifdef RGB_ALPHA
uint8x8x4_t rgba0_h, rgba1_h;
rgba0_h.val[RGB_RED] = r0.val[1];
rgba1_h.val[RGB_RED] = r1.val[1];
rgba0_h.val[RGB_GREEN] = g0.val[1];
rgba1_h.val[RGB_GREEN] = g1.val[1];
rgba0_h.val[RGB_BLUE] = b0.val[1];
rgba1_h.val[RGB_BLUE] = b1.val[1];
/* Set alpha channel to opaque (0xFF). */
rgba0_h.val[RGB_ALPHA] = vdup_n_u8(0xFF);
rgba1_h.val[RGB_ALPHA] = vdup_n_u8(0xFF);
uint8x8x4_t rgba0_l, rgba1_l;
rgba0_l.val[RGB_RED] = r0.val[0];
rgba1_l.val[RGB_RED] = r1.val[0];
rgba0_l.val[RGB_GREEN] = g0.val[0];
rgba1_l.val[RGB_GREEN] = g1.val[0];
rgba0_l.val[RGB_BLUE] = b0.val[0];
rgba1_l.val[RGB_BLUE] = b1.val[0];
/* Set alpha channel to opaque (0xFF). */
rgba0_l.val[RGB_ALPHA] = vdup_n_u8(0xFF);
rgba1_l.val[RGB_ALPHA] = vdup_n_u8(0xFF);
/* Store RGBA pixel data to memory. */
switch (cols_remaining) {
case 15:
vst4_lane_u8(outptr0 + 14 * RGB_PIXELSIZE, rgba0_h, 6);
vst4_lane_u8(outptr1 + 14 * RGB_PIXELSIZE, rgba1_h, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 14:
vst4_lane_u8(outptr0 + 13 * RGB_PIXELSIZE, rgba0_h, 5);
vst4_lane_u8(outptr1 + 13 * RGB_PIXELSIZE, rgba1_h, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 13:
vst4_lane_u8(outptr0 + 12 * RGB_PIXELSIZE, rgba0_h, 4);
vst4_lane_u8(outptr1 + 12 * RGB_PIXELSIZE, rgba1_h, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 12:
vst4_lane_u8(outptr0 + 11 * RGB_PIXELSIZE, rgba0_h, 3);
vst4_lane_u8(outptr1 + 11 * RGB_PIXELSIZE, rgba1_h, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 11:
vst4_lane_u8(outptr0 + 10 * RGB_PIXELSIZE, rgba0_h, 2);
vst4_lane_u8(outptr1 + 10 * RGB_PIXELSIZE, rgba1_h, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 10:
vst4_lane_u8(outptr0 + 9 * RGB_PIXELSIZE, rgba0_h, 1);
vst4_lane_u8(outptr1 + 9 * RGB_PIXELSIZE, rgba1_h, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 9:
vst4_lane_u8(outptr0 + 8 * RGB_PIXELSIZE, rgba0_h, 0);
vst4_lane_u8(outptr1 + 8 * RGB_PIXELSIZE, rgba1_h, 0);
FALLTHROUGH /*FALLTHROUGH*/
case 8:
vst4_u8(outptr0, rgba0_l);
vst4_u8(outptr1, rgba1_l);
break;
case 7:
vst4_lane_u8(outptr0 + 6 * RGB_PIXELSIZE, rgba0_l, 6);
vst4_lane_u8(outptr1 + 6 * RGB_PIXELSIZE, rgba1_l, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst4_lane_u8(outptr0 + 5 * RGB_PIXELSIZE, rgba0_l, 5);
vst4_lane_u8(outptr1 + 5 * RGB_PIXELSIZE, rgba1_l, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst4_lane_u8(outptr0 + 4 * RGB_PIXELSIZE, rgba0_l, 4);
vst4_lane_u8(outptr1 + 4 * RGB_PIXELSIZE, rgba1_l, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst4_lane_u8(outptr0 + 3 * RGB_PIXELSIZE, rgba0_l, 3);
vst4_lane_u8(outptr1 + 3 * RGB_PIXELSIZE, rgba1_l, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst4_lane_u8(outptr0 + 2 * RGB_PIXELSIZE, rgba0_l, 2);
vst4_lane_u8(outptr1 + 2 * RGB_PIXELSIZE, rgba1_l, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst4_lane_u8(outptr0 + 1 * RGB_PIXELSIZE, rgba0_l, 1);
vst4_lane_u8(outptr1 + 1 * RGB_PIXELSIZE, rgba1_l, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst4_lane_u8(outptr0, rgba0_l, 0);
vst4_lane_u8(outptr1, rgba1_l, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#else
uint8x8x3_t rgb0_h, rgb1_h;
rgb0_h.val[RGB_RED] = r0.val[1];
rgb1_h.val[RGB_RED] = r1.val[1];
rgb0_h.val[RGB_GREEN] = g0.val[1];
rgb1_h.val[RGB_GREEN] = g1.val[1];
rgb0_h.val[RGB_BLUE] = b0.val[1];
rgb1_h.val[RGB_BLUE] = b1.val[1];
uint8x8x3_t rgb0_l, rgb1_l;
rgb0_l.val[RGB_RED] = r0.val[0];
rgb1_l.val[RGB_RED] = r1.val[0];
rgb0_l.val[RGB_GREEN] = g0.val[0];
rgb1_l.val[RGB_GREEN] = g1.val[0];
rgb0_l.val[RGB_BLUE] = b0.val[0];
rgb1_l.val[RGB_BLUE] = b1.val[0];
/* Store RGB pixel data to memory. */
switch (cols_remaining) {
case 15:
vst3_lane_u8(outptr0 + 14 * RGB_PIXELSIZE, rgb0_h, 6);
vst3_lane_u8(outptr1 + 14 * RGB_PIXELSIZE, rgb1_h, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 14:
vst3_lane_u8(outptr0 + 13 * RGB_PIXELSIZE, rgb0_h, 5);
vst3_lane_u8(outptr1 + 13 * RGB_PIXELSIZE, rgb1_h, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 13:
vst3_lane_u8(outptr0 + 12 * RGB_PIXELSIZE, rgb0_h, 4);
vst3_lane_u8(outptr1 + 12 * RGB_PIXELSIZE, rgb1_h, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 12:
vst3_lane_u8(outptr0 + 11 * RGB_PIXELSIZE, rgb0_h, 3);
vst3_lane_u8(outptr1 + 11 * RGB_PIXELSIZE, rgb1_h, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 11:
vst3_lane_u8(outptr0 + 10 * RGB_PIXELSIZE, rgb0_h, 2);
vst3_lane_u8(outptr1 + 10 * RGB_PIXELSIZE, rgb1_h, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 10:
vst3_lane_u8(outptr0 + 9 * RGB_PIXELSIZE, rgb0_h, 1);
vst3_lane_u8(outptr1 + 9 * RGB_PIXELSIZE, rgb1_h, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 9:
vst3_lane_u8(outptr0 + 8 * RGB_PIXELSIZE, rgb0_h, 0);
vst3_lane_u8(outptr1 + 8 * RGB_PIXELSIZE, rgb1_h, 0);
FALLTHROUGH /*FALLTHROUGH*/
case 8:
vst3_u8(outptr0, rgb0_l);
vst3_u8(outptr1, rgb1_l);
break;
case 7:
vst3_lane_u8(outptr0 + 6 * RGB_PIXELSIZE, rgb0_l, 6);
vst3_lane_u8(outptr1 + 6 * RGB_PIXELSIZE, rgb1_l, 6);
FALLTHROUGH /*FALLTHROUGH*/
case 6:
vst3_lane_u8(outptr0 + 5 * RGB_PIXELSIZE, rgb0_l, 5);
vst3_lane_u8(outptr1 + 5 * RGB_PIXELSIZE, rgb1_l, 5);
FALLTHROUGH /*FALLTHROUGH*/
case 5:
vst3_lane_u8(outptr0 + 4 * RGB_PIXELSIZE, rgb0_l, 4);
vst3_lane_u8(outptr1 + 4 * RGB_PIXELSIZE, rgb1_l, 4);
FALLTHROUGH /*FALLTHROUGH*/
case 4:
vst3_lane_u8(outptr0 + 3 * RGB_PIXELSIZE, rgb0_l, 3);
vst3_lane_u8(outptr1 + 3 * RGB_PIXELSIZE, rgb1_l, 3);
FALLTHROUGH /*FALLTHROUGH*/
case 3:
vst3_lane_u8(outptr0 + 2 * RGB_PIXELSIZE, rgb0_l, 2);
vst3_lane_u8(outptr1 + 2 * RGB_PIXELSIZE, rgb1_l, 2);
FALLTHROUGH /*FALLTHROUGH*/
case 2:
vst3_lane_u8(outptr0 + 1 * RGB_PIXELSIZE, rgb0_l, 1);
vst3_lane_u8(outptr1 + 1 * RGB_PIXELSIZE, rgb1_l, 1);
FALLTHROUGH /*FALLTHROUGH*/
case 1:
vst3_lane_u8(outptr0, rgb0_l, 0);
vst3_lane_u8(outptr1, rgb1_l, 0);
FALLTHROUGH /*FALLTHROUGH*/
default:
break;
}
#endif
}
}
+570
View File
@@ -0,0 +1,570 @@
/*
* Upsampling (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* The diagram below shows a row of samples produced by h2v1 downsampling.
*
* s0 s1 s2
* +---------+---------+---------+
* | | | |
* | p0 p1 | p2 p3 | p4 p5 |
* | | | |
* +---------+---------+---------+
*
* Samples s0-s2 were created by averaging the original pixel component values
* centered at positions p0-p5 above. To approximate those original pixel
* component values, we proportionally blend the adjacent samples in each row.
*
* An upsampled pixel component value is computed by blending the sample
* containing the pixel center with the nearest neighboring sample, in the
* ratio 3:1. For example:
* p1(upsampled) = 3/4 * s0 + 1/4 * s1
* p2(upsampled) = 3/4 * s1 + 1/4 * s0
* When computing the first and last pixel component values in the row, there
* is no adjacent sample to blend, so:
* p0(upsampled) = s0
* p5(upsampled) = s2
*/
void jsimd_h2v1_fancy_upsample_neon(int max_v_samp_factor,
JDIMENSION downsampled_width,
JSAMPARRAY input_data,
JSAMPARRAY *output_data_ptr)
{
JSAMPARRAY output_data = *output_data_ptr;
JSAMPROW inptr, outptr;
int inrow;
unsigned colctr;
/* Set up constants. */
const uint16x8_t one_u16 = vdupq_n_u16(1);
const uint8x8_t three_u8 = vdup_n_u8(3);
for (inrow = 0; inrow < max_v_samp_factor; inrow++) {
inptr = input_data[inrow];
outptr = output_data[inrow];
/* First pixel component value in this row of the original image */
*outptr = (JSAMPLE)GETJSAMPLE(*inptr);
/* 3/4 * containing sample + 1/4 * nearest neighboring sample
* For p1: containing sample = s0, nearest neighboring sample = s1
* For p2: containing sample = s1, nearest neighboring sample = s0
*/
uint8x16_t s0 = vld1q_u8(inptr);
uint8x16_t s1 = vld1q_u8(inptr + 1);
/* Multiplication makes vectors twice as wide. '_l' and '_h' suffixes
* denote low half and high half respectively.
*/
uint16x8_t s1_add_3s0_l =
vmlal_u8(vmovl_u8(vget_low_u8(s1)), vget_low_u8(s0), three_u8);
uint16x8_t s1_add_3s0_h =
vmlal_u8(vmovl_u8(vget_high_u8(s1)), vget_high_u8(s0), three_u8);
uint16x8_t s0_add_3s1_l =
vmlal_u8(vmovl_u8(vget_low_u8(s0)), vget_low_u8(s1), three_u8);
uint16x8_t s0_add_3s1_h =
vmlal_u8(vmovl_u8(vget_high_u8(s0)), vget_high_u8(s1), three_u8);
/* Add ordered dithering bias to odd pixel values. */
s0_add_3s1_l = vaddq_u16(s0_add_3s1_l, one_u16);
s0_add_3s1_h = vaddq_u16(s0_add_3s1_h, one_u16);
/* The offset is initially 1, because the first pixel component has already
* been stored. However, in subsequent iterations of the SIMD loop, this
* offset is (2 * colctr - 1) to stay within the bounds of the sample
* buffers without having to resort to a slow scalar tail case for the last
* (downsampled_width % 16) samples. See "Creation of 2-D sample arrays"
* in jmemmgr.c for more details.
*/
unsigned outptr_offset = 1;
uint8x16x2_t output_pixels;
/* We use software pipelining to maximise performance. The code indented
* an extra two spaces begins the next iteration of the loop.
*/
for (colctr = 16; colctr < downsampled_width; colctr += 16) {
s0 = vld1q_u8(inptr + colctr - 1);
s1 = vld1q_u8(inptr + colctr);
/* Right-shift by 2 (divide by 4), narrow to 8-bit, and combine. */
output_pixels.val[0] = vcombine_u8(vrshrn_n_u16(s1_add_3s0_l, 2),
vrshrn_n_u16(s1_add_3s0_h, 2));
output_pixels.val[1] = vcombine_u8(vshrn_n_u16(s0_add_3s1_l, 2),
vshrn_n_u16(s0_add_3s1_h, 2));
/* Multiplication makes vectors twice as wide. '_l' and '_h' suffixes
* denote low half and high half respectively.
*/
s1_add_3s0_l =
vmlal_u8(vmovl_u8(vget_low_u8(s1)), vget_low_u8(s0), three_u8);
s1_add_3s0_h =
vmlal_u8(vmovl_u8(vget_high_u8(s1)), vget_high_u8(s0), three_u8);
s0_add_3s1_l =
vmlal_u8(vmovl_u8(vget_low_u8(s0)), vget_low_u8(s1), three_u8);
s0_add_3s1_h =
vmlal_u8(vmovl_u8(vget_high_u8(s0)), vget_high_u8(s1), three_u8);
/* Add ordered dithering bias to odd pixel values. */
s0_add_3s1_l = vaddq_u16(s0_add_3s1_l, one_u16);
s0_add_3s1_h = vaddq_u16(s0_add_3s1_h, one_u16);
/* Store pixel component values to memory. */
vst2q_u8(outptr + outptr_offset, output_pixels);
outptr_offset = 2 * colctr - 1;
}
/* Complete the last iteration of the loop. */
/* Right-shift by 2 (divide by 4), narrow to 8-bit, and combine. */
output_pixels.val[0] = vcombine_u8(vrshrn_n_u16(s1_add_3s0_l, 2),
vrshrn_n_u16(s1_add_3s0_h, 2));
output_pixels.val[1] = vcombine_u8(vshrn_n_u16(s0_add_3s1_l, 2),
vshrn_n_u16(s0_add_3s1_h, 2));
/* Store pixel component values to memory. */
vst2q_u8(outptr + outptr_offset, output_pixels);
/* Last pixel component value in this row of the original image */
outptr[2 * downsampled_width - 1] =
GETJSAMPLE(inptr[downsampled_width - 1]);
}
}
/* The diagram below shows an array of samples produced by h2v2 downsampling.
*
* s0 s1 s2
* +---------+---------+---------+
* | p0 p1 | p2 p3 | p4 p5 |
* sA | | | |
* | p6 p7 | p8 p9 | p10 p11|
* +---------+---------+---------+
* | p12 p13| p14 p15| p16 p17|
* sB | | | |
* | p18 p19| p20 p21| p22 p23|
* +---------+---------+---------+
* | p24 p25| p26 p27| p28 p29|
* sC | | | |
* | p30 p31| p32 p33| p34 p35|
* +---------+---------+---------+
*
* Samples s0A-s2C were created by averaging the original pixel component
* values centered at positions p0-p35 above. To approximate one of those
* original pixel component values, we proportionally blend the sample
* containing the pixel center with the nearest neighboring samples in each
* row, column, and diagonal.
*
* An upsampled pixel component value is computed by first blending the sample
* containing the pixel center with the nearest neighboring samples in the
* same column, in the ratio 3:1, and then blending each column sum with the
* nearest neighboring column sum, in the ratio 3:1. For example:
* p14(upsampled) = 3/4 * (3/4 * s1B + 1/4 * s1A) +
* 1/4 * (3/4 * s0B + 1/4 * s0A)
* = 9/16 * s1B + 3/16 * s1A + 3/16 * s0B + 1/16 * s0A
* When computing the first and last pixel component values in the row, there
* is no horizontally adjacent sample to blend, so:
* p12(upsampled) = 3/4 * s0B + 1/4 * s0A
* p23(upsampled) = 3/4 * s2B + 1/4 * s2C
* When computing the first and last pixel component values in the column,
* there is no vertically adjacent sample to blend, so:
* p2(upsampled) = 3/4 * s1A + 1/4 * s0A
* p33(upsampled) = 3/4 * s1C + 1/4 * s2C
* When computing the corner pixel component values, there is no adjacent
* sample to blend, so:
* p0(upsampled) = s0A
* p35(upsampled) = s2C
*/
void jsimd_h2v2_fancy_upsample_neon(int max_v_samp_factor,
JDIMENSION downsampled_width,
JSAMPARRAY input_data,
JSAMPARRAY *output_data_ptr)
{
JSAMPARRAY output_data = *output_data_ptr;
JSAMPROW inptr0, inptr1, inptr2, outptr0, outptr1;
int inrow, outrow;
unsigned colctr;
/* Set up constants. */
const uint16x8_t seven_u16 = vdupq_n_u16(7);
const uint8x8_t three_u8 = vdup_n_u8(3);
const uint16x8_t three_u16 = vdupq_n_u16(3);
inrow = outrow = 0;
while (outrow < max_v_samp_factor) {
inptr0 = input_data[inrow - 1];
inptr1 = input_data[inrow];
inptr2 = input_data[inrow + 1];
/* Suffixes 0 and 1 denote the upper and lower rows of output pixels,
* respectively.
*/
outptr0 = output_data[outrow++];
outptr1 = output_data[outrow++];
/* First pixel component value in this row of the original image */
int s0colsum0 = GETJSAMPLE(*inptr1) * 3 + GETJSAMPLE(*inptr0);
*outptr0 = (JSAMPLE)((s0colsum0 * 4 + 8) >> 4);
int s0colsum1 = GETJSAMPLE(*inptr1) * 3 + GETJSAMPLE(*inptr2);
*outptr1 = (JSAMPLE)((s0colsum1 * 4 + 8) >> 4);
/* Step 1: Blend samples vertically in columns s0 and s1.
* Leave the divide by 4 until the end, when it can be done for both
* dimensions at once, right-shifting by 4.
*/
/* Load and compute s0colsum0 and s0colsum1. */
uint8x16_t s0A = vld1q_u8(inptr0);
uint8x16_t s0B = vld1q_u8(inptr1);
uint8x16_t s0C = vld1q_u8(inptr2);
/* Multiplication makes vectors twice as wide. '_l' and '_h' suffixes
* denote low half and high half respectively.
*/
uint16x8_t s0colsum0_l = vmlal_u8(vmovl_u8(vget_low_u8(s0A)),
vget_low_u8(s0B), three_u8);
uint16x8_t s0colsum0_h = vmlal_u8(vmovl_u8(vget_high_u8(s0A)),
vget_high_u8(s0B), three_u8);
uint16x8_t s0colsum1_l = vmlal_u8(vmovl_u8(vget_low_u8(s0C)),
vget_low_u8(s0B), three_u8);
uint16x8_t s0colsum1_h = vmlal_u8(vmovl_u8(vget_high_u8(s0C)),
vget_high_u8(s0B), three_u8);
/* Load and compute s1colsum0 and s1colsum1. */
uint8x16_t s1A = vld1q_u8(inptr0 + 1);
uint8x16_t s1B = vld1q_u8(inptr1 + 1);
uint8x16_t s1C = vld1q_u8(inptr2 + 1);
uint16x8_t s1colsum0_l = vmlal_u8(vmovl_u8(vget_low_u8(s1A)),
vget_low_u8(s1B), three_u8);
uint16x8_t s1colsum0_h = vmlal_u8(vmovl_u8(vget_high_u8(s1A)),
vget_high_u8(s1B), three_u8);
uint16x8_t s1colsum1_l = vmlal_u8(vmovl_u8(vget_low_u8(s1C)),
vget_low_u8(s1B), three_u8);
uint16x8_t s1colsum1_h = vmlal_u8(vmovl_u8(vget_high_u8(s1C)),
vget_high_u8(s1B), three_u8);
/* Step 2: Blend the already-blended columns. */
uint16x8_t output0_p1_l = vmlaq_u16(s1colsum0_l, s0colsum0_l, three_u16);
uint16x8_t output0_p1_h = vmlaq_u16(s1colsum0_h, s0colsum0_h, three_u16);
uint16x8_t output0_p2_l = vmlaq_u16(s0colsum0_l, s1colsum0_l, three_u16);
uint16x8_t output0_p2_h = vmlaq_u16(s0colsum0_h, s1colsum0_h, three_u16);
uint16x8_t output1_p1_l = vmlaq_u16(s1colsum1_l, s0colsum1_l, three_u16);
uint16x8_t output1_p1_h = vmlaq_u16(s1colsum1_h, s0colsum1_h, three_u16);
uint16x8_t output1_p2_l = vmlaq_u16(s0colsum1_l, s1colsum1_l, three_u16);
uint16x8_t output1_p2_h = vmlaq_u16(s0colsum1_h, s1colsum1_h, three_u16);
/* Add ordered dithering bias to odd pixel values. */
output0_p1_l = vaddq_u16(output0_p1_l, seven_u16);
output0_p1_h = vaddq_u16(output0_p1_h, seven_u16);
output1_p1_l = vaddq_u16(output1_p1_l, seven_u16);
output1_p1_h = vaddq_u16(output1_p1_h, seven_u16);
/* Right-shift by 4 (divide by 16), narrow to 8-bit, and combine. */
uint8x16x2_t output_pixels0 = { {
vcombine_u8(vshrn_n_u16(output0_p1_l, 4), vshrn_n_u16(output0_p1_h, 4)),
vcombine_u8(vrshrn_n_u16(output0_p2_l, 4), vrshrn_n_u16(output0_p2_h, 4))
} };
uint8x16x2_t output_pixels1 = { {
vcombine_u8(vshrn_n_u16(output1_p1_l, 4), vshrn_n_u16(output1_p1_h, 4)),
vcombine_u8(vrshrn_n_u16(output1_p2_l, 4), vrshrn_n_u16(output1_p2_h, 4))
} };
/* Store pixel component values to memory.
* The minimum size of the output buffer for each row is 64 bytes => no
* need to worry about buffer overflow here. See "Creation of 2-D sample
* arrays" in jmemmgr.c for more details.
*/
vst2q_u8(outptr0 + 1, output_pixels0);
vst2q_u8(outptr1 + 1, output_pixels1);
/* The first pixel of the image shifted our loads and stores by one byte.
* We have to re-align on a 32-byte boundary at some point before the end
* of the row (we do it now on the 32/33 pixel boundary) to stay within the
* bounds of the sample buffers without having to resort to a slow scalar
* tail case for the last (downsampled_width % 16) samples. See "Creation
* of 2-D sample arrays" in jmemmgr.c for more details.
*/
for (colctr = 16; colctr < downsampled_width; colctr += 16) {
/* Step 1: Blend samples vertically in columns s0 and s1. */
/* Load and compute s0colsum0 and s0colsum1. */
s0A = vld1q_u8(inptr0 + colctr - 1);
s0B = vld1q_u8(inptr1 + colctr - 1);
s0C = vld1q_u8(inptr2 + colctr - 1);
s0colsum0_l = vmlal_u8(vmovl_u8(vget_low_u8(s0A)), vget_low_u8(s0B),
three_u8);
s0colsum0_h = vmlal_u8(vmovl_u8(vget_high_u8(s0A)), vget_high_u8(s0B),
three_u8);
s0colsum1_l = vmlal_u8(vmovl_u8(vget_low_u8(s0C)), vget_low_u8(s0B),
three_u8);
s0colsum1_h = vmlal_u8(vmovl_u8(vget_high_u8(s0C)), vget_high_u8(s0B),
three_u8);
/* Load and compute s1colsum0 and s1colsum1. */
s1A = vld1q_u8(inptr0 + colctr);
s1B = vld1q_u8(inptr1 + colctr);
s1C = vld1q_u8(inptr2 + colctr);
s1colsum0_l = vmlal_u8(vmovl_u8(vget_low_u8(s1A)), vget_low_u8(s1B),
three_u8);
s1colsum0_h = vmlal_u8(vmovl_u8(vget_high_u8(s1A)), vget_high_u8(s1B),
three_u8);
s1colsum1_l = vmlal_u8(vmovl_u8(vget_low_u8(s1C)), vget_low_u8(s1B),
three_u8);
s1colsum1_h = vmlal_u8(vmovl_u8(vget_high_u8(s1C)), vget_high_u8(s1B),
three_u8);
/* Step 2: Blend the already-blended columns. */
output0_p1_l = vmlaq_u16(s1colsum0_l, s0colsum0_l, three_u16);
output0_p1_h = vmlaq_u16(s1colsum0_h, s0colsum0_h, three_u16);
output0_p2_l = vmlaq_u16(s0colsum0_l, s1colsum0_l, three_u16);
output0_p2_h = vmlaq_u16(s0colsum0_h, s1colsum0_h, three_u16);
output1_p1_l = vmlaq_u16(s1colsum1_l, s0colsum1_l, three_u16);
output1_p1_h = vmlaq_u16(s1colsum1_h, s0colsum1_h, three_u16);
output1_p2_l = vmlaq_u16(s0colsum1_l, s1colsum1_l, three_u16);
output1_p2_h = vmlaq_u16(s0colsum1_h, s1colsum1_h, three_u16);
/* Add ordered dithering bias to odd pixel values. */
output0_p1_l = vaddq_u16(output0_p1_l, seven_u16);
output0_p1_h = vaddq_u16(output0_p1_h, seven_u16);
output1_p1_l = vaddq_u16(output1_p1_l, seven_u16);
output1_p1_h = vaddq_u16(output1_p1_h, seven_u16);
/* Right-shift by 4 (divide by 16), narrow to 8-bit, and combine. */
output_pixels0.val[0] = vcombine_u8(vshrn_n_u16(output0_p1_l, 4),
vshrn_n_u16(output0_p1_h, 4));
output_pixels0.val[1] = vcombine_u8(vrshrn_n_u16(output0_p2_l, 4),
vrshrn_n_u16(output0_p2_h, 4));
output_pixels1.val[0] = vcombine_u8(vshrn_n_u16(output1_p1_l, 4),
vshrn_n_u16(output1_p1_h, 4));
output_pixels1.val[1] = vcombine_u8(vrshrn_n_u16(output1_p2_l, 4),
vrshrn_n_u16(output1_p2_h, 4));
/* Store pixel component values to memory. */
vst2q_u8(outptr0 + 2 * colctr - 1, output_pixels0);
vst2q_u8(outptr1 + 2 * colctr - 1, output_pixels1);
}
/* Last pixel component value in this row of the original image */
int s1colsum0 = GETJSAMPLE(inptr1[downsampled_width - 1]) * 3 +
GETJSAMPLE(inptr0[downsampled_width - 1]);
outptr0[2 * downsampled_width - 1] = (JSAMPLE)((s1colsum0 * 4 + 7) >> 4);
int s1colsum1 = GETJSAMPLE(inptr1[downsampled_width - 1]) * 3 +
GETJSAMPLE(inptr2[downsampled_width - 1]);
outptr1[2 * downsampled_width - 1] = (JSAMPLE)((s1colsum1 * 4 + 7) >> 4);
inrow++;
}
}
/* The diagram below shows a column of samples produced by h1v2 downsampling
* (or by losslessly rotating or transposing an h2v1-downsampled image.)
*
* +---------+
* | p0 |
* sA | |
* | p1 |
* +---------+
* | p2 |
* sB | |
* | p3 |
* +---------+
* | p4 |
* sC | |
* | p5 |
* +---------+
*
* Samples sA-sC were created by averaging the original pixel component values
* centered at positions p0-p5 above. To approximate those original pixel
* component values, we proportionally blend the adjacent samples in each
* column.
*
* An upsampled pixel component value is computed by blending the sample
* containing the pixel center with the nearest neighboring sample, in the
* ratio 3:1. For example:
* p1(upsampled) = 3/4 * sA + 1/4 * sB
* p2(upsampled) = 3/4 * sB + 1/4 * sA
* When computing the first and last pixel component values in the column,
* there is no adjacent sample to blend, so:
* p0(upsampled) = sA
* p5(upsampled) = sC
*/
void jsimd_h1v2_fancy_upsample_neon(int max_v_samp_factor,
JDIMENSION downsampled_width,
JSAMPARRAY input_data,
JSAMPARRAY *output_data_ptr)
{
JSAMPARRAY output_data = *output_data_ptr;
JSAMPROW inptr0, inptr1, inptr2, outptr0, outptr1;
int inrow, outrow;
unsigned colctr;
/* Set up constants. */
const uint16x8_t one_u16 = vdupq_n_u16(1);
const uint8x8_t three_u8 = vdup_n_u8(3);
inrow = outrow = 0;
while (outrow < max_v_samp_factor) {
inptr0 = input_data[inrow - 1];
inptr1 = input_data[inrow];
inptr2 = input_data[inrow + 1];
/* Suffixes 0 and 1 denote the upper and lower rows of output pixels,
* respectively.
*/
outptr0 = output_data[outrow++];
outptr1 = output_data[outrow++];
inrow++;
/* The size of the input and output buffers is always a multiple of 32
* bytes => no need to worry about buffer overflow when reading/writing
* memory. See "Creation of 2-D sample arrays" in jmemmgr.c for more
* details.
*/
for (colctr = 0; colctr < downsampled_width; colctr += 16) {
/* Load samples. */
uint8x16_t sA = vld1q_u8(inptr0 + colctr);
uint8x16_t sB = vld1q_u8(inptr1 + colctr);
uint8x16_t sC = vld1q_u8(inptr2 + colctr);
/* Blend samples vertically. */
uint16x8_t colsum0_l = vmlal_u8(vmovl_u8(vget_low_u8(sA)),
vget_low_u8(sB), three_u8);
uint16x8_t colsum0_h = vmlal_u8(vmovl_u8(vget_high_u8(sA)),
vget_high_u8(sB), three_u8);
uint16x8_t colsum1_l = vmlal_u8(vmovl_u8(vget_low_u8(sC)),
vget_low_u8(sB), three_u8);
uint16x8_t colsum1_h = vmlal_u8(vmovl_u8(vget_high_u8(sC)),
vget_high_u8(sB), three_u8);
/* Add ordered dithering bias to pixel values in even output rows. */
colsum0_l = vaddq_u16(colsum0_l, one_u16);
colsum0_h = vaddq_u16(colsum0_h, one_u16);
/* Right-shift by 2 (divide by 4), narrow to 8-bit, and combine. */
uint8x16_t output_pixels0 = vcombine_u8(vshrn_n_u16(colsum0_l, 2),
vshrn_n_u16(colsum0_h, 2));
uint8x16_t output_pixels1 = vcombine_u8(vrshrn_n_u16(colsum1_l, 2),
vrshrn_n_u16(colsum1_h, 2));
/* Store pixel component values to memory. */
vst1q_u8(outptr0 + colctr, output_pixels0);
vst1q_u8(outptr1 + colctr, output_pixels1);
}
}
}
/* The diagram below shows a row of samples produced by h2v1 downsampling.
*
* s0 s1
* +---------+---------+
* | | |
* | p0 p1 | p2 p3 |
* | | |
* +---------+---------+
*
* Samples s0 and s1 were created by averaging the original pixel component
* values centered at positions p0-p3 above. To approximate those original
* pixel component values, we duplicate the samples horizontally:
* p0(upsampled) = p1(upsampled) = s0
* p2(upsampled) = p3(upsampled) = s1
*/
void jsimd_h2v1_upsample_neon(int max_v_samp_factor, JDIMENSION output_width,
JSAMPARRAY input_data,
JSAMPARRAY *output_data_ptr)
{
JSAMPARRAY output_data = *output_data_ptr;
JSAMPROW inptr, outptr;
int inrow;
unsigned colctr;
for (inrow = 0; inrow < max_v_samp_factor; inrow++) {
inptr = input_data[inrow];
outptr = output_data[inrow];
for (colctr = 0; 2 * colctr < output_width; colctr += 16) {
uint8x16_t samples = vld1q_u8(inptr + colctr);
/* Duplicate the samples. The store operation below interleaves them so
* that adjacent pixel component values take on the same sample value,
* per above.
*/
uint8x16x2_t output_pixels = { { samples, samples } };
/* Store pixel component values to memory.
* Due to the way sample buffers are allocated, we don't need to worry
* about tail cases when output_width is not a multiple of 32. See
* "Creation of 2-D sample arrays" in jmemmgr.c for details.
*/
vst2q_u8(outptr + 2 * colctr, output_pixels);
}
}
}
/* The diagram below shows an array of samples produced by h2v2 downsampling.
*
* s0 s1
* +---------+---------+
* | p0 p1 | p2 p3 |
* sA | | |
* | p4 p5 | p6 p7 |
* +---------+---------+
* | p8 p9 | p10 p11|
* sB | | |
* | p12 p13| p14 p15|
* +---------+---------+
*
* Samples s0A-s1B were created by averaging the original pixel component
* values centered at positions p0-p15 above. To approximate those original
* pixel component values, we duplicate the samples both horizontally and
* vertically:
* p0(upsampled) = p1(upsampled) = p4(upsampled) = p5(upsampled) = s0A
* p2(upsampled) = p3(upsampled) = p6(upsampled) = p7(upsampled) = s1A
* p8(upsampled) = p9(upsampled) = p12(upsampled) = p13(upsampled) = s0B
* p10(upsampled) = p11(upsampled) = p14(upsampled) = p15(upsampled) = s1B
*/
void jsimd_h2v2_upsample_neon(int max_v_samp_factor, JDIMENSION output_width,
JSAMPARRAY input_data,
JSAMPARRAY *output_data_ptr)
{
JSAMPARRAY output_data = *output_data_ptr;
JSAMPROW inptr, outptr0, outptr1;
int inrow, outrow;
unsigned colctr;
for (inrow = 0, outrow = 0; outrow < max_v_samp_factor; inrow++) {
inptr = input_data[inrow];
outptr0 = output_data[outrow++];
outptr1 = output_data[outrow++];
for (colctr = 0; 2 * colctr < output_width; colctr += 16) {
uint8x16_t samples = vld1q_u8(inptr + colctr);
/* Duplicate the samples. The store operation below interleaves them so
* that adjacent pixel component values take on the same sample value,
* per above.
*/
uint8x16x2_t output_pixels = { { samples, samples } };
/* Store pixel component values for both output rows to memory.
* Due to the way sample buffers are allocated, we don't need to worry
* about tail cases when output_width is not a multiple of 32. See
* "Creation of 2-D sample arrays" in jmemmgr.c for details.
*/
vst2q_u8(outptr0 + 2 * colctr, output_pixels);
vst2q_u8(outptr1 + 2 * colctr, output_pixels);
}
}
}
+216
View File
@@ -0,0 +1,216 @@
/*
* Fast integer FDCT (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* jsimd_fdct_ifast_neon() performs a fast, not so accurate forward DCT
* (Discrete Cosine Transform) on one block of samples. It uses the same
* calculations and produces exactly the same output as IJG's original
* jpeg_fdct_ifast() function, which can be found in jfdctfst.c.
*
* Scaled integer constants are used to avoid floating-point arithmetic:
* 0.382683433 = 12544 * 2^-15
* 0.541196100 = 17795 * 2^-15
* 0.707106781 = 23168 * 2^-15
* 0.306562965 = 9984 * 2^-15
*
* See jfdctfst.c for further details of the DCT algorithm. Where possible,
* the variable names and comments here in jsimd_fdct_ifast_neon() match up
* with those in jpeg_fdct_ifast().
*/
#define F_0_382 12544
#define F_0_541 17792
#define F_0_707 23168
#define F_0_306 9984
ALIGN(16) static const int16_t jsimd_fdct_ifast_neon_consts[] = {
F_0_382, F_0_541, F_0_707, F_0_306
};
void jsimd_fdct_ifast_neon(DCTELEM *data)
{
/* Load an 8x8 block of samples into Neon registers. De-interleaving loads
* are used, followed by vuzp to transpose the block such that we have a
* column of samples per vector - allowing all rows to be processed at once.
*/
int16x8x4_t data1 = vld4q_s16(data);
int16x8x4_t data2 = vld4q_s16(data + 4 * DCTSIZE);
int16x8x2_t cols_04 = vuzpq_s16(data1.val[0], data2.val[0]);
int16x8x2_t cols_15 = vuzpq_s16(data1.val[1], data2.val[1]);
int16x8x2_t cols_26 = vuzpq_s16(data1.val[2], data2.val[2]);
int16x8x2_t cols_37 = vuzpq_s16(data1.val[3], data2.val[3]);
int16x8_t col0 = cols_04.val[0];
int16x8_t col1 = cols_15.val[0];
int16x8_t col2 = cols_26.val[0];
int16x8_t col3 = cols_37.val[0];
int16x8_t col4 = cols_04.val[1];
int16x8_t col5 = cols_15.val[1];
int16x8_t col6 = cols_26.val[1];
int16x8_t col7 = cols_37.val[1];
/* Pass 1: process rows. */
/* Load DCT conversion constants. */
const int16x4_t consts = vld1_s16(jsimd_fdct_ifast_neon_consts);
int16x8_t tmp0 = vaddq_s16(col0, col7);
int16x8_t tmp7 = vsubq_s16(col0, col7);
int16x8_t tmp1 = vaddq_s16(col1, col6);
int16x8_t tmp6 = vsubq_s16(col1, col6);
int16x8_t tmp2 = vaddq_s16(col2, col5);
int16x8_t tmp5 = vsubq_s16(col2, col5);
int16x8_t tmp3 = vaddq_s16(col3, col4);
int16x8_t tmp4 = vsubq_s16(col3, col4);
/* Even part */
int16x8_t tmp10 = vaddq_s16(tmp0, tmp3); /* phase 2 */
int16x8_t tmp13 = vsubq_s16(tmp0, tmp3);
int16x8_t tmp11 = vaddq_s16(tmp1, tmp2);
int16x8_t tmp12 = vsubq_s16(tmp1, tmp2);
col0 = vaddq_s16(tmp10, tmp11); /* phase 3 */
col4 = vsubq_s16(tmp10, tmp11);
int16x8_t z1 = vqdmulhq_lane_s16(vaddq_s16(tmp12, tmp13), consts, 2);
col2 = vaddq_s16(tmp13, z1); /* phase 5 */
col6 = vsubq_s16(tmp13, z1);
/* Odd part */
tmp10 = vaddq_s16(tmp4, tmp5); /* phase 2 */
tmp11 = vaddq_s16(tmp5, tmp6);
tmp12 = vaddq_s16(tmp6, tmp7);
int16x8_t z5 = vqdmulhq_lane_s16(vsubq_s16(tmp10, tmp12), consts, 0);
int16x8_t z2 = vqdmulhq_lane_s16(tmp10, consts, 1);
z2 = vaddq_s16(z2, z5);
int16x8_t z4 = vqdmulhq_lane_s16(tmp12, consts, 3);
z5 = vaddq_s16(tmp12, z5);
z4 = vaddq_s16(z4, z5);
int16x8_t z3 = vqdmulhq_lane_s16(tmp11, consts, 2);
int16x8_t z11 = vaddq_s16(tmp7, z3); /* phase 5 */
int16x8_t z13 = vsubq_s16(tmp7, z3);
col5 = vaddq_s16(z13, z2); /* phase 6 */
col3 = vsubq_s16(z13, z2);
col1 = vaddq_s16(z11, z4);
col7 = vsubq_s16(z11, z4);
/* Transpose to work on columns in pass 2. */
int16x8x2_t cols_01 = vtrnq_s16(col0, col1);
int16x8x2_t cols_23 = vtrnq_s16(col2, col3);
int16x8x2_t cols_45 = vtrnq_s16(col4, col5);
int16x8x2_t cols_67 = vtrnq_s16(col6, col7);
int32x4x2_t cols_0145_l = vtrnq_s32(vreinterpretq_s32_s16(cols_01.val[0]),
vreinterpretq_s32_s16(cols_45.val[0]));
int32x4x2_t cols_0145_h = vtrnq_s32(vreinterpretq_s32_s16(cols_01.val[1]),
vreinterpretq_s32_s16(cols_45.val[1]));
int32x4x2_t cols_2367_l = vtrnq_s32(vreinterpretq_s32_s16(cols_23.val[0]),
vreinterpretq_s32_s16(cols_67.val[0]));
int32x4x2_t cols_2367_h = vtrnq_s32(vreinterpretq_s32_s16(cols_23.val[1]),
vreinterpretq_s32_s16(cols_67.val[1]));
int32x4x2_t rows_04 = vzipq_s32(cols_0145_l.val[0], cols_2367_l.val[0]);
int32x4x2_t rows_15 = vzipq_s32(cols_0145_h.val[0], cols_2367_h.val[0]);
int32x4x2_t rows_26 = vzipq_s32(cols_0145_l.val[1], cols_2367_l.val[1]);
int32x4x2_t rows_37 = vzipq_s32(cols_0145_h.val[1], cols_2367_h.val[1]);
int16x8_t row0 = vreinterpretq_s16_s32(rows_04.val[0]);
int16x8_t row1 = vreinterpretq_s16_s32(rows_15.val[0]);
int16x8_t row2 = vreinterpretq_s16_s32(rows_26.val[0]);
int16x8_t row3 = vreinterpretq_s16_s32(rows_37.val[0]);
int16x8_t row4 = vreinterpretq_s16_s32(rows_04.val[1]);
int16x8_t row5 = vreinterpretq_s16_s32(rows_15.val[1]);
int16x8_t row6 = vreinterpretq_s16_s32(rows_26.val[1]);
int16x8_t row7 = vreinterpretq_s16_s32(rows_37.val[1]);
/* Pass 2: process columns. */
tmp0 = vaddq_s16(row0, row7);
tmp7 = vsubq_s16(row0, row7);
tmp1 = vaddq_s16(row1, row6);
tmp6 = vsubq_s16(row1, row6);
tmp2 = vaddq_s16(row2, row5);
tmp5 = vsubq_s16(row2, row5);
tmp3 = vaddq_s16(row3, row4);
tmp4 = vsubq_s16(row3, row4);
/* Even part */
tmp10 = vaddq_s16(tmp0, tmp3); /* phase 2 */
tmp13 = vsubq_s16(tmp0, tmp3);
tmp11 = vaddq_s16(tmp1, tmp2);
tmp12 = vsubq_s16(tmp1, tmp2);
row0 = vaddq_s16(tmp10, tmp11); /* phase 3 */
row4 = vsubq_s16(tmp10, tmp11);
z1 = vqdmulhq_lane_s16(vaddq_s16(tmp12, tmp13), consts, 2);
row2 = vaddq_s16(tmp13, z1); /* phase 5 */
row6 = vsubq_s16(tmp13, z1);
/* Odd part */
tmp10 = vaddq_s16(tmp4, tmp5); /* phase 2 */
tmp11 = vaddq_s16(tmp5, tmp6);
tmp12 = vaddq_s16(tmp6, tmp7);
z5 = vqdmulhq_lane_s16(vsubq_s16(tmp10, tmp12), consts, 0);
z2 = vqdmulhq_lane_s16(tmp10, consts, 1);
z2 = vaddq_s16(z2, z5);
z4 = vqdmulhq_lane_s16(tmp12, consts, 3);
z5 = vaddq_s16(tmp12, z5);
z4 = vaddq_s16(z4, z5);
z3 = vqdmulhq_lane_s16(tmp11, consts, 2);
z11 = vaddq_s16(tmp7, z3); /* phase 5 */
z13 = vsubq_s16(tmp7, z3);
row5 = vaddq_s16(z13, z2); /* phase 6 */
row3 = vsubq_s16(z13, z2);
row1 = vaddq_s16(z11, z4);
row7 = vsubq_s16(z11, z4);
vst1q_s16(data + 0 * DCTSIZE, row0);
vst1q_s16(data + 1 * DCTSIZE, row1);
vst1q_s16(data + 2 * DCTSIZE, row2);
vst1q_s16(data + 3 * DCTSIZE, row3);
vst1q_s16(data + 4 * DCTSIZE, row4);
vst1q_s16(data + 5 * DCTSIZE, row5);
vst1q_s16(data + 6 * DCTSIZE, row6);
vst1q_s16(data + 7 * DCTSIZE, row7);
}
+376
View File
@@ -0,0 +1,376 @@
/*
* Accurate integer FDCT (Arm Neon)
*
* Copyright (C) 2020, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, 2024, D. R. Commander. All Rights Reserved.
*
* This software is provided 'as-is', without any express or implied
* warranty. In no event will the authors be held liable for any damages
* arising from the use of this software.
*
* Permission is granted to anyone to use this software for any purpose,
* including commercial applications, and to alter it and redistribute it
* freely, subject to the following restrictions:
*
* 1. The origin of this software must not be misrepresented; you must not
* claim that you wrote the original software. If you use this software
* in a product, an acknowledgment in the product documentation would be
* appreciated but is not required.
* 2. Altered source versions must be plainly marked as such, and must not be
* misrepresented as being the original software.
* 3. This notice may not be removed or altered from any source distribution.
*/
#define JPEG_INTERNALS
#include "../../src/jinclude.h"
#include "../../src/jpeglib.h"
#include "../../src/jsimd.h"
#include "../../src/jdct.h"
#include "../../src/jsimddct.h"
#include "../jsimd.h"
#include "align.h"
#include "neon-compat.h"
#include <arm_neon.h>
/* jsimd_fdct_islow_neon() performs a slower but more accurate forward DCT
* (Discrete Cosine Transform) on one block of samples. It uses the same
* calculations and produces exactly the same output as IJG's original
* jpeg_fdct_islow() function, which can be found in jfdctint.c.
*
* Scaled integer constants are used to avoid floating-point arithmetic:
* 0.298631336 = 2446 * 2^-13
* 0.390180644 = 3196 * 2^-13
* 0.541196100 = 4433 * 2^-13
* 0.765366865 = 6270 * 2^-13
* 0.899976223 = 7373 * 2^-13
* 1.175875602 = 9633 * 2^-13
* 1.501321110 = 12299 * 2^-13
* 1.847759065 = 15137 * 2^-13
* 1.961570560 = 16069 * 2^-13
* 2.053119869 = 16819 * 2^-13
* 2.562915447 = 20995 * 2^-13
* 3.072711026 = 25172 * 2^-13
*
* See jfdctint.c for further details of the DCT algorithm. Where possible,
* the variable names and comments here in jsimd_fdct_islow_neon() match up
* with those in jpeg_fdct_islow().
*/
#define CONST_BITS 13
#define PASS1_BITS 2
#define DESCALE_P1 (CONST_BITS - PASS1_BITS)
#define DESCALE_P2 (CONST_BITS + PASS1_BITS)
#define F_0_298 2446
#define F_0_390 3196
#define F_0_541 4433
#define F_0_765 6270
#define F_0_899 7373
#define F_1_175 9633
#define F_1_501 12299
#define F_1_847 15137
#define F_1_961 16069
#define F_2_053 16819
#define F_2_562 20995
#define F_3_072 25172
ALIGN(16) static const int16_t jsimd_fdct_islow_neon_consts[] = {
F_0_298, -F_0_390, F_0_541, F_0_765,
-F_0_899, F_1_175, F_1_501, -F_1_847,
-F_1_961, F_2_053, -F_2_562, F_3_072
};
void jsimd_fdct_islow_neon(DCTELEM *data)
{
/* Load DCT constants. */
#ifdef HAVE_VLD1_S16_X3
const int16x4x3_t consts = vld1_s16_x3(jsimd_fdct_islow_neon_consts);
#else
/* GCC does not currently support the intrinsic vld1_<type>_x3(). */
const int16x4_t consts1 = vld1_s16(jsimd_fdct_islow_neon_consts);
const int16x4_t consts2 = vld1_s16(jsimd_fdct_islow_neon_consts + 4);
const int16x4_t consts3 = vld1_s16(jsimd_fdct_islow_neon_consts + 8);
const int16x4x3_t consts = { { consts1, consts2, consts3 } };
#endif
/* Load an 8x8 block of samples into Neon registers. De-interleaving loads
* are used, followed by vuzp to transpose the block such that we have a
* column of samples per vector - allowing all rows to be processed at once.
*/
int16x8x4_t s_rows_0123 = vld4q_s16(data);
int16x8x4_t s_rows_4567 = vld4q_s16(data + 4 * DCTSIZE);
int16x8x2_t cols_04 = vuzpq_s16(s_rows_0123.val[0], s_rows_4567.val[0]);
int16x8x2_t cols_15 = vuzpq_s16(s_rows_0123.val[1], s_rows_4567.val[1]);
int16x8x2_t cols_26 = vuzpq_s16(s_rows_0123.val[2], s_rows_4567.val[2]);
int16x8x2_t cols_37 = vuzpq_s16(s_rows_0123.val[3], s_rows_4567.val[3]);
int16x8_t col0 = cols_04.val[0];
int16x8_t col1 = cols_15.val[0];
int16x8_t col2 = cols_26.val[0];
int16x8_t col3 = cols_37.val[0];
int16x8_t col4 = cols_04.val[1];
int16x8_t col5 = cols_15.val[1];
int16x8_t col6 = cols_26.val[1];
int16x8_t col7 = cols_37.val[1];
/* Pass 1: process rows. */
int16x8_t tmp0 = vaddq_s16(col0, col7);
int16x8_t tmp7 = vsubq_s16(col0, col7);
int16x8_t tmp1 = vaddq_s16(col1, col6);
int16x8_t tmp6 = vsubq_s16(col1, col6);
int16x8_t tmp2 = vaddq_s16(col2, col5);
int16x8_t tmp5 = vsubq_s16(col2, col5);
int16x8_t tmp3 = vaddq_s16(col3, col4);
int16x8_t tmp4 = vsubq_s16(col3, col4);
/* Even part */
int16x8_t tmp10 = vaddq_s16(tmp0, tmp3);
int16x8_t tmp13 = vsubq_s16(tmp0, tmp3);
int16x8_t tmp11 = vaddq_s16(tmp1, tmp2);
int16x8_t tmp12 = vsubq_s16(tmp1, tmp2);
col0 = vshlq_n_s16(vaddq_s16(tmp10, tmp11), PASS1_BITS);
col4 = vshlq_n_s16(vsubq_s16(tmp10, tmp11), PASS1_BITS);
int16x8_t tmp12_add_tmp13 = vaddq_s16(tmp12, tmp13);
int32x4_t z1_l =
vmull_lane_s16(vget_low_s16(tmp12_add_tmp13), consts.val[0], 2);
int32x4_t z1_h =
vmull_lane_s16(vget_high_s16(tmp12_add_tmp13), consts.val[0], 2);
int32x4_t col2_scaled_l =
vmlal_lane_s16(z1_l, vget_low_s16(tmp13), consts.val[0], 3);
int32x4_t col2_scaled_h =
vmlal_lane_s16(z1_h, vget_high_s16(tmp13), consts.val[0], 3);
col2 = vcombine_s16(vrshrn_n_s32(col2_scaled_l, DESCALE_P1),
vrshrn_n_s32(col2_scaled_h, DESCALE_P1));
int32x4_t col6_scaled_l =
vmlal_lane_s16(z1_l, vget_low_s16(tmp12), consts.val[1], 3);
int32x4_t col6_scaled_h =
vmlal_lane_s16(z1_h, vget_high_s16(tmp12), consts.val[1], 3);
col6 = vcombine_s16(vrshrn_n_s32(col6_scaled_l, DESCALE_P1),
vrshrn_n_s32(col6_scaled_h, DESCALE_P1));
/* Odd part */
int16x8_t z1 = vaddq_s16(tmp4, tmp7);
int16x8_t z2 = vaddq_s16(tmp5, tmp6);
int16x8_t z3 = vaddq_s16(tmp4, tmp6);
int16x8_t z4 = vaddq_s16(tmp5, tmp7);
/* sqrt(2) * c3 */
int32x4_t z5_l = vmull_lane_s16(vget_low_s16(z3), consts.val[1], 1);
int32x4_t z5_h = vmull_lane_s16(vget_high_s16(z3), consts.val[1], 1);
z5_l = vmlal_lane_s16(z5_l, vget_low_s16(z4), consts.val[1], 1);
z5_h = vmlal_lane_s16(z5_h, vget_high_s16(z4), consts.val[1], 1);
/* sqrt(2) * (-c1+c3+c5-c7) */
int32x4_t tmp4_l = vmull_lane_s16(vget_low_s16(tmp4), consts.val[0], 0);
int32x4_t tmp4_h = vmull_lane_s16(vget_high_s16(tmp4), consts.val[0], 0);
/* sqrt(2) * ( c1+c3-c5+c7) */
int32x4_t tmp5_l = vmull_lane_s16(vget_low_s16(tmp5), consts.val[2], 1);
int32x4_t tmp5_h = vmull_lane_s16(vget_high_s16(tmp5), consts.val[2], 1);
/* sqrt(2) * ( c1+c3+c5-c7) */
int32x4_t tmp6_l = vmull_lane_s16(vget_low_s16(tmp6), consts.val[2], 3);
int32x4_t tmp6_h = vmull_lane_s16(vget_high_s16(tmp6), consts.val[2], 3);
/* sqrt(2) * ( c1+c3-c5-c7) */
int32x4_t tmp7_l = vmull_lane_s16(vget_low_s16(tmp7), consts.val[1], 2);
int32x4_t tmp7_h = vmull_lane_s16(vget_high_s16(tmp7), consts.val[1], 2);
/* sqrt(2) * (c7-c3) */
z1_l = vmull_lane_s16(vget_low_s16(z1), consts.val[1], 0);
z1_h = vmull_lane_s16(vget_high_s16(z1), consts.val[1], 0);
/* sqrt(2) * (-c1-c3) */
int32x4_t z2_l = vmull_lane_s16(vget_low_s16(z2), consts.val[2], 2);
int32x4_t z2_h = vmull_lane_s16(vget_high_s16(z2), consts.val[2], 2);
/* sqrt(2) * (-c3-c5) */
int32x4_t z3_l = vmull_lane_s16(vget_low_s16(z3), consts.val[2], 0);
int32x4_t z3_h = vmull_lane_s16(vget_high_s16(z3), consts.val[2], 0);
/* sqrt(2) * (c5-c3) */
int32x4_t z4_l = vmull_lane_s16(vget_low_s16(z4), consts.val[0], 1);
int32x4_t z4_h = vmull_lane_s16(vget_high_s16(z4), consts.val[0], 1);
z3_l = vaddq_s32(z3_l, z5_l);
z3_h = vaddq_s32(z3_h, z5_h);
z4_l = vaddq_s32(z4_l, z5_l);
z4_h = vaddq_s32(z4_h, z5_h);
tmp4_l = vaddq_s32(tmp4_l, z1_l);
tmp4_h = vaddq_s32(tmp4_h, z1_h);
tmp4_l = vaddq_s32(tmp4_l, z3_l);
tmp4_h = vaddq_s32(tmp4_h, z3_h);
col7 = vcombine_s16(vrshrn_n_s32(tmp4_l, DESCALE_P1),
vrshrn_n_s32(tmp4_h, DESCALE_P1));
tmp5_l = vaddq_s32(tmp5_l, z2_l);
tmp5_h = vaddq_s32(tmp5_h, z2_h);
tmp5_l = vaddq_s32(tmp5_l, z4_l);
tmp5_h = vaddq_s32(tmp5_h, z4_h);
col5 = vcombine_s16(vrshrn_n_s32(tmp5_l, DESCALE_P1),
vrshrn_n_s32(tmp5_h, DESCALE_P1));
tmp6_l = vaddq_s32(tmp6_l, z2_l);
tmp6_h = vaddq_s32(tmp6_h, z2_h);
tmp6_l = vaddq_s32(tmp6_l, z3_l);
tmp6_h = vaddq_s32(tmp6_h, z3_h);
col3 = vcombine_s16(vrshrn_n_s32(tmp6_l, DESCALE_P1),
vrshrn_n_s32(tmp6_h, DESCALE_P1));
tmp7_l = vaddq_s32(tmp7_l, z1_l);
tmp7_h = vaddq_s32(tmp7_h, z1_h);
tmp7_l = vaddq_s32(tmp7_l, z4_l);
tmp7_h = vaddq_s32(tmp7_h, z4_h);
col1 = vcombine_s16(vrshrn_n_s32(tmp7_l, DESCALE_P1),
vrshrn_n_s32(tmp7_h, DESCALE_P1));
/* Transpose to work on columns in pass 2. */
int16x8x2_t cols_01 = vtrnq_s16(col0, col1);
int16x8x2_t cols_23 = vtrnq_s16(col2, col3);
int16x8x2_t cols_45 = vtrnq_s16(col4, col5);
int16x8x2_t cols_67 = vtrnq_s16(col6, col7);
int32x4x2_t cols_0145_l = vtrnq_s32(vreinterpretq_s32_s16(cols_01.val[0]),
vreinterpretq_s32_s16(cols_45.val[0]));
int32x4x2_t cols_0145_h = vtrnq_s32(vreinterpretq_s32_s16(cols_01.val[1]),
vreinterpretq_s32_s16(cols_45.val[1]));
int32x4x2_t cols_2367_l = vtrnq_s32(vreinterpretq_s32_s16(cols_23.val[0]),
vreinterpretq_s32_s16(cols_67.val[0]));
int32x4x2_t cols_2367_h = vtrnq_s32(vreinterpretq_s32_s16(cols_23.val[1]),
vreinterpretq_s32_s16(cols_67.val[1]));
int32x4x2_t rows_04 = vzipq_s32(cols_0145_l.val[0], cols_2367_l.val[0]);
int32x4x2_t rows_15 = vzipq_s32(cols_0145_h.val[0], cols_2367_h.val[0]);
int32x4x2_t rows_26 = vzipq_s32(cols_0145_l.val[1], cols_2367_l.val[1]);
int32x4x2_t rows_37 = vzipq_s32(cols_0145_h.val[1], cols_2367_h.val[1]);
int16x8_t row0 = vreinterpretq_s16_s32(rows_04.val[0]);
int16x8_t row1 = vreinterpretq_s16_s32(rows_15.val[0]);
int16x8_t row2 = vreinterpretq_s16_s32(rows_26.val[0]);
int16x8_t row3 = vreinterpretq_s16_s32(rows_37.val[0]);
int16x8_t row4 = vreinterpretq_s16_s32(rows_04.val[1]);
int16x8_t row5 = vreinterpretq_s16_s32(rows_15.val[1]);
int16x8_t row6 = vreinterpretq_s16_s32(rows_26.val[1]);
int16x8_t row7 = vreinterpretq_s16_s32(rows_37.val[1]);
/* Pass 2: process columns. */
tmp0 = vaddq_s16(row0, row7);
tmp7 = vsubq_s16(row0, row7);
tmp1 = vaddq_s16(row1, row6);
tmp6 = vsubq_s16(row1, row6);
tmp2 = vaddq_s16(row2, row5);
tmp5 = vsubq_s16(row2, row5);
tmp3 = vaddq_s16(row3, row4);
tmp4 = vsubq_s16(row3, row4);
/* Even part */
tmp10 = vaddq_s16(tmp0, tmp3);
tmp13 = vsubq_s16(tmp0, tmp3);
tmp11 = vaddq_s16(tmp1, tmp2);
tmp12 = vsubq_s16(tmp1, tmp2);
row0 = vrshrq_n_s16(vaddq_s16(tmp10, tmp11), PASS1_BITS);
row4 = vrshrq_n_s16(vsubq_s16(tmp10, tmp11), PASS1_BITS);
tmp12_add_tmp13 = vaddq_s16(tmp12, tmp13);
z1_l = vmull_lane_s16(vget_low_s16(tmp12_add_tmp13), consts.val[0], 2);
z1_h = vmull_lane_s16(vget_high_s16(tmp12_add_tmp13), consts.val[0], 2);
int32x4_t row2_scaled_l =
vmlal_lane_s16(z1_l, vget_low_s16(tmp13), consts.val[0], 3);
int32x4_t row2_scaled_h =
vmlal_lane_s16(z1_h, vget_high_s16(tmp13), consts.val[0], 3);
row2 = vcombine_s16(vrshrn_n_s32(row2_scaled_l, DESCALE_P2),
vrshrn_n_s32(row2_scaled_h, DESCALE_P2));
int32x4_t row6_scaled_l =
vmlal_lane_s16(z1_l, vget_low_s16(tmp12), consts.val[1], 3);
int32x4_t row6_scaled_h =
vmlal_lane_s16(z1_h, vget_high_s16(tmp12), consts.val[1], 3);
row6 = vcombine_s16(vrshrn_n_s32(row6_scaled_l, DESCALE_P2),
vrshrn_n_s32(row6_scaled_h, DESCALE_P2));
/* Odd part */
z1 = vaddq_s16(tmp4, tmp7);
z2 = vaddq_s16(tmp5, tmp6);
z3 = vaddq_s16(tmp4, tmp6);
z4 = vaddq_s16(tmp5, tmp7);
/* sqrt(2) * c3 */
z5_l = vmull_lane_s16(vget_low_s16(z3), consts.val[1], 1);
z5_h = vmull_lane_s16(vget_high_s16(z3), consts.val[1], 1);
z5_l = vmlal_lane_s16(z5_l, vget_low_s16(z4), consts.val[1], 1);
z5_h = vmlal_lane_s16(z5_h, vget_high_s16(z4), consts.val[1], 1);
/* sqrt(2) * (-c1+c3+c5-c7) */
tmp4_l = vmull_lane_s16(vget_low_s16(tmp4), consts.val[0], 0);
tmp4_h = vmull_lane_s16(vget_high_s16(tmp4), consts.val[0], 0);
/* sqrt(2) * ( c1+c3-c5+c7) */
tmp5_l = vmull_lane_s16(vget_low_s16(tmp5), consts.val[2], 1);
tmp5_h = vmull_lane_s16(vget_high_s16(tmp5), consts.val[2], 1);
/* sqrt(2) * ( c1+c3+c5-c7) */
tmp6_l = vmull_lane_s16(vget_low_s16(tmp6), consts.val[2], 3);
tmp6_h = vmull_lane_s16(vget_high_s16(tmp6), consts.val[2], 3);
/* sqrt(2) * ( c1+c3-c5-c7) */
tmp7_l = vmull_lane_s16(vget_low_s16(tmp7), consts.val[1], 2);
tmp7_h = vmull_lane_s16(vget_high_s16(tmp7), consts.val[1], 2);
/* sqrt(2) * (c7-c3) */
z1_l = vmull_lane_s16(vget_low_s16(z1), consts.val[1], 0);
z1_h = vmull_lane_s16(vget_high_s16(z1), consts.val[1], 0);
/* sqrt(2) * (-c1-c3) */
z2_l = vmull_lane_s16(vget_low_s16(z2), consts.val[2], 2);
z2_h = vmull_lane_s16(vget_high_s16(z2), consts.val[2], 2);
/* sqrt(2) * (-c3-c5) */
z3_l = vmull_lane_s16(vget_low_s16(z3), consts.val[2], 0);
z3_h = vmull_lane_s16(vget_high_s16(z3), consts.val[2], 0);
/* sqrt(2) * (c5-c3) */
z4_l = vmull_lane_s16(vget_low_s16(z4), consts.val[0], 1);
z4_h = vmull_lane_s16(vget_high_s16(z4), consts.val[0], 1);
z3_l = vaddq_s32(z3_l, z5_l);
z3_h = vaddq_s32(z3_h, z5_h);
z4_l = vaddq_s32(z4_l, z5_l);
z4_h = vaddq_s32(z4_h, z5_h);
tmp4_l = vaddq_s32(tmp4_l, z1_l);
tmp4_h = vaddq_s32(tmp4_h, z1_h);
tmp4_l = vaddq_s32(tmp4_l, z3_l);
tmp4_h = vaddq_s32(tmp4_h, z3_h);
row7 = vcombine_s16(vrshrn_n_s32(tmp4_l, DESCALE_P2),
vrshrn_n_s32(tmp4_h, DESCALE_P2));
tmp5_l = vaddq_s32(tmp5_l, z2_l);
tmp5_h = vaddq_s32(tmp5_h, z2_h);
tmp5_l = vaddq_s32(tmp5_l, z4_l);
tmp5_h = vaddq_s32(tmp5_h, z4_h);
row5 = vcombine_s16(vrshrn_n_s32(tmp5_l, DESCALE_P2),
vrshrn_n_s32(tmp5_h, DESCALE_P2));
tmp6_l = vaddq_s32(tmp6_l, z2_l);
tmp6_h = vaddq_s32(tmp6_h, z2_h);
tmp6_l = vaddq_s32(tmp6_l, z3_l);
tmp6_h = vaddq_s32(tmp6_h, z3_h);
row3 = vcombine_s16(vrshrn_n_s32(tmp6_l, DESCALE_P2),
vrshrn_n_s32(tmp6_h, DESCALE_P2));
tmp7_l = vaddq_s32(tmp7_l, z1_l);
tmp7_h = vaddq_s32(tmp7_h, z1_h);
tmp7_l = vaddq_s32(tmp7_l, z4_l);
tmp7_h = vaddq_s32(tmp7_h, z4_h);
row1 = vcombine_s16(vrshrn_n_s32(tmp7_l, DESCALE_P2),
vrshrn_n_s32(tmp7_h, DESCALE_P2));
vst1q_s16(data + 0 * DCTSIZE, row0);
vst1q_s16(data + 1 * DCTSIZE, row1);
vst1q_s16(data + 2 * DCTSIZE, row2);
vst1q_s16(data + 3 * DCTSIZE, row3);
vst1q_s16(data + 4 * DCTSIZE, row4);
vst1q_s16(data + 5 * DCTSIZE, row5);
vst1q_s16(data + 6 * DCTSIZE, row6);
vst1q_s16(data + 7 * DCTSIZE, row7);
}

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