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Author SHA1 Message Date
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
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
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
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
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

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is 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

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

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

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is 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 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.
- [x] The feature is well documented and sample code can be built with the project CMake
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

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
2023-12-19 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
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
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      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 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

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
2023-12-13 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
- [ ] 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 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

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

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

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is 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

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

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

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
Liutong HAN ce0516282a Optimize the v_lut for RVV. 2023-11-23 15:06:04 +08:00
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
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.
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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
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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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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

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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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      Patch to opencv_extra has the same branch name.
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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.
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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>

### Pull Request Readiness Checklist

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

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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-11-01 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.


### Pull Request Readiness Checklist

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

- [x] To the 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] 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
2023-10-30 11:58:08 +03:00
Giles Payne 617d7ff575 Merge pull request #24454 from komakai:refactorObjcRange
Refactor ObjectiveC Range class #24454

### 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

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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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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2023-10-27 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.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-25 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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-24 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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-20 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.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-20 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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-20 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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the 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
- [ ] The feature is well documented and sample code can be built with the project CMake
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.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-19 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.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is 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
2023-10-19 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)

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-19 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

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible 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
2023-10-18 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

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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
2023-10-13 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

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- [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
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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

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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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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

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      Patch to opencv_extra has the same branch name.
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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
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      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.
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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
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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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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.
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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.
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      Patch to opencv_extra has the same branch name.
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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.
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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.
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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
2421 changed files with 307870 additions and 47092 deletions
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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.
+41 -4
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@@ -6,14 +6,51 @@ on:
- 4.x
jobs:
ARM64:
Ubuntu2004-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64.yaml@main
U20:
Ubuntu2004-ARM64-Debug:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64-Debug.yaml@main
Ubuntu2004-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20.yaml@main
W10:
Ubuntu2004-x64-OpenVINO:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20-OpenVINO.yaml@main
Ubuntu2204-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U22.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
Windows10-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-W10.yaml@main
Windows10-x64-Vulkan:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-W10-Vulkan.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:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-Android.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
View File
@@ -2,6 +2,9 @@ name: arm64 build checks
on: workflow_dispatch
permissions:
contents: read # to fetch code (actions/checkout)
jobs:
build:
+2
View File
@@ -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
+13 -1
View File
@@ -1,4 +1,4 @@
cmake_minimum_required(VERSION 2.8.11 FATAL_ERROR)
cmake_minimum_required(VERSION ${MIN_VER_CMAKE} FATAL_ERROR)
project(Carotene)
@@ -27,6 +27,10 @@ if(CMAKE_COMPILER_IS_GNUCC)
endif()
endif()
if(APPLE AND CV_CLANG AND WITH_NEON)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-unused-function)
endif()
add_library(carotene_objs OBJECT EXCLUDE_FROM_ALL
${carotene_headers}
${carotene_sources}
@@ -38,6 +42,14 @@ endif()
if(WITH_NEON)
target_compile_definitions(carotene_objs PRIVATE "-DWITH_NEON")
if(NOT DEFINED CAROTENE_NEON_ARCH )
elseif(CAROTENE_NEON_ARCH EQUAL 8)
target_compile_definitions(carotene_objs PRIVATE "-DCAROTENE_NEON_ARCH=8")
elseif(CAROTENE_NEON_ARCH EQUAL 7)
target_compile_definitions(carotene_objs PRIVATE "-DCAROTENE_NEON_ARCH=7")
else()
target_compile_definitions(carotene_objs PRIVATE "-DCAROTENE_NEON_ARCH=0")
endif()
endif()
# we add dummy file to fix XCode build
+1 -1
View File
@@ -1,4 +1,4 @@
cmake_minimum_required(VERSION 2.8.8 FATAL_ERROR)
cmake_minimum_required(VERSION ${MIN_VER_CMAKE} FATAL_ERROR)
include(CheckCCompilerFlag)
include(CheckCXXCompilerFlag)
+2 -2
View File
@@ -1296,13 +1296,13 @@ struct MorphCtx
CAROTENE_NS::BORDER_MODE border;
uchar borderValues[4];
};
inline int TEGRA_MORPHINIT(cvhalFilter2D **context, int operation, int src_type, int dst_type, int, int,
inline int TEGRA_MORPHINIT(cvhalFilter2D **context, int operation, int src_type, int dst_type, int width, int height,
int kernel_type, uchar *kernel_data, size_t kernel_step, int kernel_width, int kernel_height, int anchor_x, int anchor_y,
int borderType, const double borderValue[4], int iterations, bool allowSubmatrix, bool allowInplace)
{
if(!context || !kernel_data || src_type != dst_type ||
CV_MAT_DEPTH(src_type) != CV_8U || src_type < 0 || (src_type >> CV_CN_SHIFT) > 3 ||
width < kernel_width || height < kernel_height ||
allowSubmatrix || allowInplace || iterations != 1 ||
!CAROTENE_NS::isSupportedConfiguration())
return CV_HAL_ERROR_NOT_IMPLEMENTED;
+25 -24
View File
@@ -39,6 +39,7 @@
#include "common.hpp"
#include "vtransform.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
@@ -106,31 +107,31 @@ template <> struct wAdd<s32>
{
valpha = vdupq_n_f32(_alpha);
vbeta = vdupq_n_f32(_beta);
vgamma = vdupq_n_f32(_gamma + 0.5);
vgamma = vdupq_n_f32(_gamma);
}
void operator() (const typename VecTraits<s32>::vec128 & v_src0,
const typename VecTraits<s32>::vec128 & v_src1,
typename VecTraits<s32>::vec128 & v_dst) const
void operator() (const VecTraits<s32>::vec128 & v_src0,
const VecTraits<s32>::vec128 & v_src1,
VecTraits<s32>::vec128 & v_dst) const
{
float32x4_t vs1 = vcvtq_f32_s32(v_src0);
float32x4_t vs2 = vcvtq_f32_s32(v_src1);
vs1 = vmlaq_f32(vgamma, vs1, valpha);
vs1 = vmlaq_f32(vs1, vs2, vbeta);
v_dst = vcvtq_s32_f32(vs1);
v_dst = vroundq_s32_f32(vs1);
}
void operator() (const typename VecTraits<s32>::vec64 & v_src0,
const typename VecTraits<s32>::vec64 & v_src1,
typename VecTraits<s32>::vec64 & v_dst) const
void operator() (const VecTraits<s32>::vec64 & v_src0,
const VecTraits<s32>::vec64 & v_src1,
VecTraits<s32>::vec64 & v_dst) const
{
float32x2_t vs1 = vcvt_f32_s32(v_src0);
float32x2_t vs2 = vcvt_f32_s32(v_src1);
vs1 = vmla_f32(vget_low(vgamma), vs1, vget_low(valpha));
vs1 = vmla_f32(vs1, vs2, vget_low(vbeta));
v_dst = vcvt_s32_f32(vs1);
v_dst = vround_s32_f32(vs1);
}
void operator() (const s32 * src0, const s32 * src1, s32 * dst) const
@@ -150,31 +151,31 @@ template <> struct wAdd<u32>
{
valpha = vdupq_n_f32(_alpha);
vbeta = vdupq_n_f32(_beta);
vgamma = vdupq_n_f32(_gamma + 0.5);
vgamma = vdupq_n_f32(_gamma);
}
void operator() (const typename VecTraits<u32>::vec128 & v_src0,
const typename VecTraits<u32>::vec128 & v_src1,
typename VecTraits<u32>::vec128 & v_dst) const
void operator() (const VecTraits<u32>::vec128 & v_src0,
const VecTraits<u32>::vec128 & v_src1,
VecTraits<u32>::vec128 & v_dst) const
{
float32x4_t vs1 = vcvtq_f32_u32(v_src0);
float32x4_t vs2 = vcvtq_f32_u32(v_src1);
vs1 = vmlaq_f32(vgamma, vs1, valpha);
vs1 = vmlaq_f32(vs1, vs2, vbeta);
v_dst = vcvtq_u32_f32(vs1);
v_dst = vroundq_u32_f32(vs1);
}
void operator() (const typename VecTraits<u32>::vec64 & v_src0,
const typename VecTraits<u32>::vec64 & v_src1,
typename VecTraits<u32>::vec64 & v_dst) const
void operator() (const VecTraits<u32>::vec64 & v_src0,
const VecTraits<u32>::vec64 & v_src1,
VecTraits<u32>::vec64 & v_dst) const
{
float32x2_t vs1 = vcvt_f32_u32(v_src0);
float32x2_t vs2 = vcvt_f32_u32(v_src1);
vs1 = vmla_f32(vget_low(vgamma), vs1, vget_low(valpha));
vs1 = vmla_f32(vs1, vs2, vget_low(vbeta));
v_dst = vcvt_u32_f32(vs1);
v_dst = vround_u32_f32(vs1);
}
void operator() (const u32 * src0, const u32 * src1, u32 * dst) const
@@ -197,17 +198,17 @@ template <> struct wAdd<f32>
vgamma = vdupq_n_f32(_gamma + 0.5);
}
void operator() (const typename VecTraits<f32>::vec128 & v_src0,
const typename VecTraits<f32>::vec128 & v_src1,
typename VecTraits<f32>::vec128 & v_dst) const
void operator() (const VecTraits<f32>::vec128 & v_src0,
const VecTraits<f32>::vec128 & v_src1,
VecTraits<f32>::vec128 & v_dst) const
{
float32x4_t vs1 = vmlaq_f32(vgamma, v_src0, valpha);
v_dst = vmlaq_f32(vs1, v_src1, vbeta);
}
void operator() (const typename VecTraits<f32>::vec64 & v_src0,
const typename VecTraits<f32>::vec64 & v_src1,
typename VecTraits<f32>::vec64 & v_dst) const
void operator() (const VecTraits<f32>::vec64 & v_src0,
const VecTraits<f32>::vec64 & v_src1,
VecTraits<f32>::vec64 & v_dst) const
{
float32x2_t vs1 = vmla_f32(vget_low(vgamma), v_src0, vget_low(valpha));
v_dst = vmla_f32(vs1, v_src1, vget_low(vbeta));
+8 -9
View File
@@ -41,6 +41,7 @@
#include "common.hpp"
#include "saturate_cast.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
@@ -198,7 +199,6 @@ void blur3x3(const Size2D &size, s32 cn,
//#define FLOAT_VARIANT_1_9
#ifdef FLOAT_VARIANT_1_9
float32x4_t v1_9 = vdupq_n_f32 (1.0/9.0);
float32x4_t v0_5 = vdupq_n_f32 (.5);
#else
const int16x8_t vScale = vmovq_n_s16(3640);
#endif
@@ -283,8 +283,8 @@ void blur3x3(const Size2D &size, s32 cn,
uint32x4_t tres2 = vmovl_u16(vget_high_u16(t0));
float32x4_t vf1 = vmulq_f32(v1_9, vcvtq_f32_u32(tres1));
float32x4_t vf2 = vmulq_f32(v1_9, vcvtq_f32_u32(tres2));
tres1 = vcvtq_u32_f32(vaddq_f32(vf1, v0_5));
tres2 = vcvtq_u32_f32(vaddq_f32(vf2, v0_5));
tres1 = internal::vroundq_u32_f32(vf1);
tres2 = internal::vroundq_u32_f32(vf2);
t0 = vcombine_u16(vmovn_u32(tres1),vmovn_u32(tres2));
vst1_u8(drow + x - 8, vmovn_u16(t0));
#else
@@ -391,9 +391,9 @@ void blur3x3(const Size2D &size, s32 cn,
}
else if (borderType == BORDER_MODE_REFLECT101)
{
tcurr = vsetq_lane_u16(vgetq_lane_u16(tcurr, 3),tcurr, 5);
tcurr = vsetq_lane_u16(vgetq_lane_u16(tcurr, 4),tcurr, 6);
tcurr = vsetq_lane_u16(vgetq_lane_u16(tcurr, 5),tcurr, 7);
tcurr = vsetq_lane_u16(vgetq_lane_u16(tcurr, 3),tcurr, 5);
}
else
{
@@ -445,8 +445,8 @@ void blur3x3(const Size2D &size, s32 cn,
uint32x4_t tres2 = vmovl_u16(vget_high_u16(t0));
float32x4_t vf1 = vmulq_f32(v1_9, vcvtq_f32_u32(tres1));
float32x4_t vf2 = vmulq_f32(v1_9, vcvtq_f32_u32(tres2));
tres1 = vcvtq_u32_f32(vaddq_f32(vf1, v0_5));
tres2 = vcvtq_u32_f32(vaddq_f32(vf2, v0_5));
tres1 = internal::vroundq_u32_f32(vf1);
tres2 = internal::vroundq_u32_f32(vf2);
t0 = vcombine_u16(vmovn_u32(tres1),vmovn_u32(tres2));
vst1_u8(drow + x - 8, vmovn_u16(t0));
#else
@@ -508,7 +508,6 @@ void blur5x5(const Size2D &size, s32 cn,
#define FLOAT_VARIANT_1_25
#ifdef FLOAT_VARIANT_1_25
float32x4_t v1_25 = vdupq_n_f32 (1.0f/25.0f);
float32x4_t v0_5 = vdupq_n_f32 (.5f);
#else
const int16x8_t vScale = vmovq_n_s16(1310);
#endif
@@ -752,8 +751,8 @@ void blur5x5(const Size2D &size, s32 cn,
uint32x4_t tres2 = vmovl_u16(vget_high_u16(t0));
float32x4_t vf1 = vmulq_f32(v1_25, vcvtq_f32_u32(tres1));
float32x4_t vf2 = vmulq_f32(v1_25, vcvtq_f32_u32(tres2));
tres1 = vcvtq_u32_f32(vaddq_f32(vf1, v0_5));
tres2 = vcvtq_u32_f32(vaddq_f32(vf2, v0_5));
tres1 = internal::vroundq_u32_f32(vf1);
tres2 = internal::vroundq_u32_f32(vf2);
t0 = vcombine_u16(vmovn_u32(tres1),vmovn_u32(tres2));
vst1_u8(drow + x - 8, vmovn_u16(t0));
#else
+5 -11
View File
@@ -40,6 +40,7 @@
#include "common.hpp"
#include "saturate_cast.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
@@ -1166,17 +1167,10 @@ inline uint8x8x3_t convertToHSV(const uint8x8_t vR, const uint8x8_t vG, const ui
vSt3 = vmulq_f32(vHF1, vDivTab);
vSt4 = vmulq_f32(vHF2, vDivTab);
float32x4_t bias = vdupq_n_f32(0.5f);
vSt1 = vaddq_f32(vSt1, bias);
vSt2 = vaddq_f32(vSt2, bias);
vSt3 = vaddq_f32(vSt3, bias);
vSt4 = vaddq_f32(vSt4, bias);
uint32x4_t vRes1 = vcvtq_u32_f32(vSt1);
uint32x4_t vRes2 = vcvtq_u32_f32(vSt2);
uint32x4_t vRes3 = vcvtq_u32_f32(vSt3);
uint32x4_t vRes4 = vcvtq_u32_f32(vSt4);
uint32x4_t vRes1 = internal::vroundq_u32_f32(vSt1);
uint32x4_t vRes2 = internal::vroundq_u32_f32(vSt2);
uint32x4_t vRes3 = internal::vroundq_u32_f32(vSt3);
uint32x4_t vRes4 = internal::vroundq_u32_f32(vSt4);
int32x4_t vH_L = vmovl_s16(vget_low_s16(vDiff4));
int32x4_t vH_H = vmovl_s16(vget_high_s16(vDiff4));
+11
View File
@@ -58,6 +58,17 @@
namespace CAROTENE_NS { namespace internal {
#ifndef CAROTENE_NEON_ARCH
# if defined(__aarch64__) || defined(__aarch32__)
# define CAROTENE_NEON_ARCH 8
# else
# define CAROTENE_NEON_ARCH 7
# endif
#endif
#if ( !defined(__aarch64__) && !defined(__aarch32__) ) && (CAROTENE_NEON_ARCH == 8 )
# error("ARMv7 doen't support A32/A64 Neon instructions")
#endif
inline void prefetch(const void *ptr, size_t offset = 32*10)
{
#if defined __GNUC__
+108 -107
View File
@@ -38,6 +38,7 @@
*/
#include "common.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
@@ -185,7 +186,7 @@ CVTS_FUNC1(u8, 16,
#else
CVTS_FUNC1(u8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -209,10 +210,10 @@ CVTS_FUNC1(u8, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = vcvtq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = vcvtq_s32_f32(vline4_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
uint16x8_t vRes1_u16 = vcombine_u16(vqmovun_s32(vline1_s32), vqmovun_s32(vline2_s32));
uint16x8_t vRes2_u16 = vcombine_u16(vqmovun_s32(vline3_s32), vqmovun_s32(vline4_s32));
vst1q_u8(_dst + i, vcombine_u8(vqmovn_u16(vRes1_u16), vqmovn_u16(vRes2_u16)));
@@ -270,7 +271,7 @@ CVTS_FUNC(u8, s8, 16,
#else
CVTS_FUNC(u8, s8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -294,10 +295,10 @@ CVTS_FUNC(u8, s8, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = vcvtq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = vcvtq_s32_f32(vline4_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
int16x8_t vRes1_u16 = vcombine_s16(vqmovn_s32(vline1_s32), vqmovn_s32(vline2_s32));
int16x8_t vRes2_u16 = vcombine_s16(vqmovn_s32(vline3_s32), vqmovn_s32(vline4_s32));
vst1q_s8(_dst + i, vcombine_s8(vqmovn_s16(vRes1_u16), vqmovn_s16(vRes2_u16)));
@@ -355,7 +356,7 @@ CVTS_FUNC(u8, u16, 16,
#else
CVTS_FUNC(u8, u16, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -379,10 +380,10 @@ CVTS_FUNC(u8, u16, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = vcvtq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = vcvtq_s32_f32(vline4_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
vst1q_u16(_dst + i + 0, vcombine_u16(vqmovun_s32(vline1_s32), vqmovun_s32(vline2_s32)));
vst1q_u16(_dst + i + 8, vcombine_u16(vqmovun_s32(vline3_s32), vqmovun_s32(vline4_s32)));
}
@@ -439,7 +440,7 @@ CVTS_FUNC(u8, s16, 16,
#else
CVTS_FUNC(u8, s16, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -463,10 +464,10 @@ CVTS_FUNC(u8, s16, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = vcvtq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = vcvtq_s32_f32(vline4_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
vst1q_s16(_dst + i + 0, vcombine_s16(vqmovn_s32(vline1_s32), vqmovn_s32(vline2_s32)));
vst1q_s16(_dst + i + 8, vcombine_s16(vqmovn_s32(vline3_s32), vqmovn_s32(vline4_s32)));
}
@@ -526,7 +527,7 @@ CVTS_FUNC(u8, s32, 16,
#else
CVTS_FUNC(u8, s32, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -550,10 +551,10 @@ CVTS_FUNC(u8, s32, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = vcvtq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = vcvtq_s32_f32(vline4_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int32x4_t vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
int32x4_t vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
vst1q_s32(_dst + i + 0, vline1_s32);
vst1q_s32(_dst + i + 4, vline2_s32);
vst1q_s32(_dst + i + 8, vline3_s32);
@@ -693,7 +694,7 @@ CVTS_FUNC(s8, u8, 16,
#else
CVTS_FUNC(s8, u8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -717,10 +718,10 @@ CVTS_FUNC(s8, u8, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline3_s32 = vcvtq_s32_f32(vline3_f32);
vline4_s32 = vcvtq_s32_f32(vline4_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
uint16x8_t vRes1_u16 = vcombine_u16(vqmovun_s32(vline1_s32), vqmovun_s32(vline2_s32));
uint16x8_t vRes2_u16 = vcombine_u16(vqmovun_s32(vline3_s32), vqmovun_s32(vline4_s32));
vst1q_u8(_dst + i, vcombine_u8(vqmovn_u16(vRes1_u16), vqmovn_u16(vRes2_u16)));
@@ -778,7 +779,7 @@ CVTS_FUNC1(s8, 16,
#else
CVTS_FUNC1(s8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -802,10 +803,10 @@ CVTS_FUNC1(s8, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline3_s32 = vcvtq_s32_f32(vline3_f32);
vline4_s32 = vcvtq_s32_f32(vline4_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
int16x8_t vRes1_s16 = vcombine_s16(vqmovn_s32(vline1_s32), vqmovn_s32(vline2_s32));
int16x8_t vRes2_s16 = vcombine_s16(vqmovn_s32(vline3_s32), vqmovn_s32(vline4_s32));
vst1q_s8(_dst + i, vcombine_s8(vqmovn_s16(vRes1_s16), vqmovn_s16(vRes2_s16)));
@@ -863,7 +864,7 @@ CVTS_FUNC(s8, u16, 16,
#else
CVTS_FUNC(s8, u16, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -887,10 +888,10 @@ CVTS_FUNC(s8, u16, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline3_s32 = vcvtq_s32_f32(vline3_f32);
vline4_s32 = vcvtq_s32_f32(vline4_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
uint16x8_t vRes1_u16 = vcombine_u16(vqmovun_s32(vline1_s32), vqmovun_s32(vline2_s32));
uint16x8_t vRes2_u16 = vcombine_u16(vqmovun_s32(vline3_s32), vqmovun_s32(vline4_s32));
vst1q_u16(_dst + i + 0, vRes1_u16);
@@ -949,7 +950,7 @@ CVTS_FUNC(s8, s16, 16,
#else
CVTS_FUNC(s8, s16, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -973,10 +974,10 @@ CVTS_FUNC(s8, s16, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline3_s32 = vcvtq_s32_f32(vline3_f32);
vline4_s32 = vcvtq_s32_f32(vline4_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
int16x8_t vRes1_s16 = vcombine_s16(vqmovn_s32(vline1_s32), vqmovn_s32(vline2_s32));
int16x8_t vRes2_s16 = vcombine_s16(vqmovn_s32(vline3_s32), vqmovn_s32(vline4_s32));
vst1q_s16(_dst + i + 0, vRes1_s16);
@@ -1038,7 +1039,7 @@ CVTS_FUNC(s8, s32, 16,
#else
CVTS_FUNC(s8, s32, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 16)
{
@@ -1062,10 +1063,10 @@ CVTS_FUNC(s8, s32, 16,
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline3_f32 = vaddq_f32(vline3_f32, vshift);
vline4_f32 = vaddq_f32(vline4_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline3_s32 = vcvtq_s32_f32(vline3_f32);
vline4_s32 = vcvtq_s32_f32(vline4_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vline3_s32 = internal::vroundq_s32_f32(vline3_f32);
vline4_s32 = internal::vroundq_s32_f32(vline4_f32);
vst1q_s32(_dst + i + 0, vline1_s32);
vst1q_s32(_dst + i + 4, vline2_s32);
vst1q_s32(_dst + i + 8, vline3_s32);
@@ -1190,7 +1191,7 @@ CVTS_FUNC(u16, u8, 16,
#else
CVTS_FUNC(u16, u8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1204,8 +1205,8 @@ CVTS_FUNC(u16, u8, 16,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
uint8x8_t vRes = vqmovun_s16(vcombine_s16(vRes1, vRes2));
@@ -1249,7 +1250,7 @@ CVTS_FUNC(u16, s8, 16,
#else
CVTS_FUNC(u16, s8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1263,8 +1264,8 @@ CVTS_FUNC(u16, s8, 16,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
int8x8_t vRes = vqmovn_s16(vcombine_s16(vRes1, vRes2));
@@ -1307,7 +1308,7 @@ CVTS_FUNC1(u16, 16,
#else
CVTS_FUNC1(u16, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1321,8 +1322,8 @@ CVTS_FUNC1(u16, 16,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
uint16x4_t vRes1 = vqmovun_s32(vline1_s32);
uint16x4_t vRes2 = vqmovun_s32(vline2_s32);
vst1q_u16(_dst + i, vcombine_u16(vRes1, vRes2));
@@ -1364,7 +1365,7 @@ CVTS_FUNC(u16, s16, 8,
#else
CVTS_FUNC(u16, s16, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1378,8 +1379,8 @@ CVTS_FUNC(u16, s16, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
vst1q_s16(_dst + i, vcombine_s16(vRes1, vRes2));
@@ -1421,7 +1422,7 @@ CVTS_FUNC(u16, s32, 8,
#else
CVTS_FUNC(u16, s32, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1435,8 +1436,8 @@ CVTS_FUNC(u16, s32, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vst1q_s32(_dst + i + 0, vline1_s32);
vst1q_s32(_dst + i + 4, vline2_s32);
}
@@ -1530,7 +1531,7 @@ CVTS_FUNC(s16, u8, 16,
#else
CVTS_FUNC(s16, u8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1544,8 +1545,8 @@ CVTS_FUNC(s16, u8, 16,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
uint8x8_t vRes = vqmovun_s16(vcombine_s16(vRes1, vRes2));
@@ -1589,7 +1590,7 @@ CVTS_FUNC(s16, s8, 16,
#else
CVTS_FUNC(s16, s8, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1603,8 +1604,8 @@ CVTS_FUNC(s16, s8, 16,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
int8x8_t vRes = vqmovn_s16(vcombine_s16(vRes1, vRes2));
@@ -1647,7 +1648,7 @@ CVTS_FUNC(s16, u16, 8,
#else
CVTS_FUNC(s16, u16, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1661,8 +1662,8 @@ CVTS_FUNC(s16, u16, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
uint16x4_t vRes1 = vqmovun_s32(vline1_s32);
uint16x4_t vRes2 = vqmovun_s32(vline2_s32);
vst1q_u16(_dst + i, vcombine_u16(vRes1, vRes2));
@@ -1704,7 +1705,7 @@ CVTS_FUNC1(s16, 16,
#else
CVTS_FUNC1(s16, 16,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1718,8 +1719,8 @@ CVTS_FUNC1(s16, 16,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
vst1q_s16(_dst + i, vcombine_s16(vRes1, vRes2));
@@ -1761,7 +1762,7 @@ CVTS_FUNC(s16, s32, 8,
#else
CVTS_FUNC(s16, s32, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1775,8 +1776,8 @@ CVTS_FUNC(s16, s32, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vst1q_s32(_dst + i + 0, vline1_s32);
vst1q_s32(_dst + i + 4, vline2_s32);
}
@@ -1870,7 +1871,7 @@ CVTS_FUNC(s32, u8, 8,
#else
CVTS_FUNC(s32, u8, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1883,8 +1884,8 @@ CVTS_FUNC(s32, u8, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
uint16x4_t vRes1 = vqmovun_s32(vline1_s32);
uint16x4_t vRes2 = vqmovun_s32(vline2_s32);
uint8x8_t vRes = vqmovn_u16(vcombine_u16(vRes1, vRes2));
@@ -1928,7 +1929,7 @@ CVTS_FUNC(s32, s8, 8,
#else
CVTS_FUNC(s32, s8, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1941,8 +1942,8 @@ CVTS_FUNC(s32, s8, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
int8x8_t vRes = vqmovn_s16(vcombine_s16(vRes1, vRes2));
@@ -1985,7 +1986,7 @@ CVTS_FUNC(s32, u16, 8,
#else
CVTS_FUNC(s32, u16, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -1998,8 +1999,8 @@ CVTS_FUNC(s32, u16, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
uint16x4_t vRes1 = vqmovun_s32(vline1_s32);
uint16x4_t vRes2 = vqmovun_s32(vline2_s32);
vst1q_u16(_dst + i, vcombine_u16(vRes1, vRes2));
@@ -2041,7 +2042,7 @@ CVTS_FUNC(s32, s16, 8,
#else
CVTS_FUNC(s32, s16, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -2054,8 +2055,8 @@ CVTS_FUNC(s32, s16, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
vst1q_s16(_dst + i, vcombine_s16(vRes1, vRes2));
@@ -2097,7 +2098,7 @@ CVTS_FUNC1(s32, 8,
#else
CVTS_FUNC1(s32, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -2110,8 +2111,8 @@ CVTS_FUNC1(s32, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
vline1_s32 = vcvtq_s32_f32(vline1_f32);
vline2_s32 = vcvtq_s32_f32(vline2_f32);
vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vst1q_s32(_dst + i + 0, vline1_s32);
vst1q_s32(_dst + i + 4, vline2_s32);
}
@@ -2272,7 +2273,7 @@ CVTS_FUNC(f32, s8, 8,
#else
CVTS_FUNC(f32, s8, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -2283,8 +2284,8 @@ CVTS_FUNC(f32, s8, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
int8x8_t vRes = vqmovn_s16(vcombine_s16(vRes1, vRes2));
@@ -2325,7 +2326,7 @@ CVTS_FUNC(f32, u16, 8,
#else
CVTS_FUNC(f32, u16, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -2336,8 +2337,8 @@ CVTS_FUNC(f32, u16, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
uint32x4_t vline1_u32 = vcvtq_u32_f32(vline1_f32);
uint32x4_t vline2_u32 = vcvtq_u32_f32(vline2_f32);
uint32x4_t vline1_u32 = internal::vroundq_u32_f32(vline1_f32);
uint32x4_t vline2_u32 = internal::vroundq_u32_f32(vline2_f32);
uint16x4_t vRes1 = vqmovn_u32(vline1_u32);
uint16x4_t vRes2 = vqmovn_u32(vline2_u32);
vst1q_u16(_dst + i, vcombine_u16(vRes1, vRes2));
@@ -2377,7 +2378,7 @@ CVTS_FUNC(f32, s16, 8,
#else
CVTS_FUNC(f32, s16, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -2388,8 +2389,8 @@ CVTS_FUNC(f32, s16, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
int16x4_t vRes1 = vqmovn_s32(vline1_s32);
int16x4_t vRes2 = vqmovn_s32(vline2_s32);
vst1q_s16(_dst + i, vcombine_s16(vRes1, vRes2));
@@ -2429,7 +2430,7 @@ CVTS_FUNC(f32, s32, 8,
#else
CVTS_FUNC(f32, s32, 8,
float32x4_t vscale = vdupq_n_f32((f32)alpha);
float32x4_t vshift = vdupq_n_f32((f32)beta + 0.5f);,
float32x4_t vshift = vdupq_n_f32((f32)beta);,
{
for (size_t i = 0; i < w; i += 8)
{
@@ -2440,8 +2441,8 @@ CVTS_FUNC(f32, s32, 8,
vline2_f32 = vmulq_f32(vline2_f32, vscale);
vline1_f32 = vaddq_f32(vline1_f32, vshift);
vline2_f32 = vaddq_f32(vline2_f32, vshift);
int32x4_t vline1_s32 = vcvtq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = vcvtq_s32_f32(vline2_f32);
int32x4_t vline1_s32 = internal::vroundq_s32_f32(vline1_f32);
int32x4_t vline2_s32 = internal::vroundq_s32_f32(vline2_f32);
vst1q_s32(_dst + i + 0, vline1_s32);
vst1q_s32(_dst + i + 4, vline2_s32);
}
+7 -20
View File
@@ -39,6 +39,7 @@
#include "common.hpp"
#include "vtransform.hpp"
#include "vround_helper.hpp"
#include <cstring>
#include <cfloat>
@@ -51,13 +52,6 @@ namespace {
#ifdef CAROTENE_NEON
inline float32x4_t vroundq(const float32x4_t& v)
{
const int32x4_t signMask = vdupq_n_s32(1 << 31), half = vreinterpretq_s32_f32(vdupq_n_f32(0.5f));
float32x4_t v_addition = vreinterpretq_f32_s32(vorrq_s32(half, vandq_s32(signMask, vreinterpretq_s32_f32(v))));
return vaddq_f32(v, v_addition);
}
template <typename T>
inline T divSaturateQ(const T &v1, const T &v2, const float scale)
{
@@ -69,17 +63,10 @@ inline T divSaturateQ(const T &v1, const T &v2, const float scale)
}
template <>
inline int32x4_t divSaturateQ<int32x4_t>(const int32x4_t &v1, const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vroundq(vmulq_f32(vmulq_n_f32(vcvtq_f32_s32(v1), scale), internal::vrecpq_f32(vcvtq_f32_s32(v2))))); }
{ return internal::vroundq_s32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_s32(v1), scale), internal::vrecpq_f32(vcvtq_f32_s32(v2)))); }
template <>
inline uint32x4_t divSaturateQ<uint32x4_t>(const uint32x4_t &v1, const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vroundq(vmulq_f32(vmulq_n_f32(vcvtq_f32_u32(v1), scale), internal::vrecpq_f32(vcvtq_f32_u32(v2))))); }
inline float32x2_t vround(const float32x2_t& v)
{
const int32x2_t signMask = vdup_n_s32(1 << 31), half = vreinterpret_s32_f32(vdup_n_f32(0.5f));
float32x2_t v_addition = vreinterpret_f32_s32(vorr_s32(half, vand_s32(signMask, vreinterpret_s32_f32(v))));
return vadd_f32(v, v_addition);
}
{ return internal::vroundq_u32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_u32(v1), scale), internal::vrecpq_f32(vcvtq_f32_u32(v2)))); }
template <typename T>
inline T divSaturate(const T &v1, const T &v2, const float scale)
@@ -88,10 +75,10 @@ inline T divSaturate(const T &v1, const T &v2, const float scale)
}
template <>
inline int32x2_t divSaturate<int32x2_t>(const int32x2_t &v1, const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vround(vmul_f32(vmul_n_f32(vcvt_f32_s32(v1), scale), internal::vrecp_f32(vcvt_f32_s32(v2))))); }
{ return internal::vround_s32_f32(vmul_f32(vmul_n_f32(vcvt_f32_s32(v1), scale), internal::vrecp_f32(vcvt_f32_s32(v2)))); }
template <>
inline uint32x2_t divSaturate<uint32x2_t>(const uint32x2_t &v1, const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vround(vmul_f32(vmul_n_f32(vcvt_f32_u32(v1), scale), internal::vrecp_f32(vcvt_f32_u32(v2))))); }
{ return internal::vround_u32_f32(vmul_f32(vmul_n_f32(vcvt_f32_u32(v1), scale), internal::vrecp_f32(vcvt_f32_u32(v2)))); }
template <typename T>
@@ -157,8 +144,8 @@ void div(const Size2D &size,
if (scale == 0.0f ||
(std::numeric_limits<T>::is_integer &&
(scale * std::numeric_limits<T>::max()) < 1.0f &&
(scale * std::numeric_limits<T>::max()) > -1.0f))
(scale * static_cast<float>(std::numeric_limits<T>::max())) < 1.0f &&
(scale * static_cast<float>(std::numeric_limits<T>::max())) > -1.0f))
{
for (size_t y = 0; y < size.height; ++y)
{
+7 -8
View File
@@ -41,6 +41,7 @@
#include <cmath>
#include "common.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
@@ -121,8 +122,6 @@ void phase(const Size2D &size,
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
float32x4_t v_05 = vdupq_n_f32(0.5f);
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
@@ -149,8 +148,8 @@ void phase(const Size2D &size,
float32x4_t v_dst32f1;
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f1)
uint16x8_t v_dst16s0 = vcombine_u16(vmovn_u32(vcvtq_u32_f32(vaddq_f32(v_dst32f0, v_05))),
vmovn_u32(vcvtq_u32_f32(vaddq_f32(v_dst32f1, v_05))));
uint16x8_t v_dst16s0 = vcombine_u16(vmovn_u32(internal::vroundq_u32_f32(v_dst32f0)),
vmovn_u32(internal::vroundq_u32_f32(v_dst32f1)));
// 1
v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src01)));
@@ -161,8 +160,8 @@ void phase(const Size2D &size,
v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src11)));
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f1)
uint16x8_t v_dst16s1 = vcombine_u16(vmovn_u32(vcvtq_u32_f32(vaddq_f32(v_dst32f0, v_05))),
vmovn_u32(vcvtq_u32_f32(vaddq_f32(v_dst32f1, v_05))));
uint16x8_t v_dst16s1 = vcombine_u16(vmovn_u32(internal::vroundq_u32_f32(v_dst32f0)),
vmovn_u32(internal::vroundq_u32_f32(v_dst32f1)));
vst1q_u8(dst + j, vcombine_u8(vmovn_u16(v_dst16s0),
vmovn_u16(v_dst16s1)));
@@ -182,8 +181,8 @@ void phase(const Size2D &size,
float32x4_t v_dst32f1;
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f1)
uint16x8_t v_dst = vcombine_u16(vmovn_u32(vcvtq_u32_f32(vaddq_f32(v_dst32f0, v_05))),
vmovn_u32(vcvtq_u32_f32(vaddq_f32(v_dst32f1, v_05))));
uint16x8_t v_dst = vcombine_u16(vmovn_u32(internal::vroundq_u32_f32(v_dst32f0)),
vmovn_u32(internal::vroundq_u32_f32(v_dst32f1)));
vst1_u8(dst + j, vmovn_u16(v_dst));
}
+102
View File
@@ -0,0 +1,102 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* 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 names of the copyright holders nor the names of the 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 copyright holders 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.
*/
#ifndef CAROTENE_SRC_VROUND_HELPER_HPP
#define CAROTENE_SRC_VROUND_HELPER_HPP
#include "common.hpp"
#include "vtransform.hpp"
#ifdef CAROTENE_NEON
/**
* This helper header is for rounding from float32xN to uin32xN or int32xN to nearest, ties to even.
* See https://en.wikipedia.org/wiki/Rounding#Rounding_half_to_even
*/
// See https://github.com/opencv/opencv/pull/24271#issuecomment-1867318007
#define CAROTENE_ROUND_DELTA (12582912.0f)
namespace CAROTENE_NS { namespace internal {
inline uint32x4_t vroundq_u32_f32(const float32x4_t val)
{
#if CAROTENE_NEON_ARCH >= 8 /* get ready for ARMv9 */
return vcvtnq_u32_f32(val);
#else
const float32x4_t delta = vdupq_n_f32(CAROTENE_ROUND_DELTA);
return vcvtq_u32_f32(vsubq_f32(vaddq_f32(val, delta), delta));
#endif
}
inline uint32x2_t vround_u32_f32(const float32x2_t val)
{
#if CAROTENE_NEON_ARCH >= 8 /* get ready for ARMv9 */
return vcvtn_u32_f32(val);
#else
const float32x2_t delta = vdup_n_f32(CAROTENE_ROUND_DELTA);
return vcvt_u32_f32(vsub_f32(vadd_f32(val, delta), delta));
#endif
}
inline int32x4_t vroundq_s32_f32(const float32x4_t val)
{
#if CAROTENE_NEON_ARCH >= 8 /* get ready for ARMv9 */
return vcvtnq_s32_f32(val);
#else
const float32x4_t delta = vdupq_n_f32(CAROTENE_ROUND_DELTA);
return vcvtq_s32_f32(vsubq_f32(vaddq_f32(val, delta), delta));
#endif
}
inline int32x2_t vround_s32_f32(const float32x2_t val)
{
#if CAROTENE_NEON_ARCH >= 8 /* get ready for ARMv9 */
return vcvtn_s32_f32(val);
#else
const float32x2_t delta = vdup_n_f32(CAROTENE_ROUND_DELTA);
return vcvt_s32_f32(vsub_f32(vadd_f32(val, delta), delta));
#endif
}
} }
#endif // CAROTENE_NEON
#endif
+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_20231225
# Binaries were created for OpenCV: 62f1a7410d5e5e03d6cee5c95549bf61d5ee98db
ocv_update(FFMPEG_BINARIES_COMMIT "fbac408a47977ee4265f39e7659d33f1dfef5216")
ocv_update(FFMPEG_FILE_HASH_BIN32 "9b755ecbbade0a5b78332e9b4ef2dd1b")
ocv_update(FFMPEG_FILE_HASH_BIN64 "cb4db51ee9a423e6168b9d08bee61efc")
ocv_update(FFMPEG_FILE_HASH_CMAKE "8862c87496e2e8c375965e1277dee1c7")
function(download_win_ffmpeg script_var)
+202
View File
@@ -0,0 +1,202 @@
Apache License
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+1
View File
@@ -0,0 +1 @@
Origin: https://github.com/google/flatbuffers/tree/v23.5.9
+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_
+256
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@@ -0,0 +1,256 @@
/*
* 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;
typedef
typename flatbuffers::conditional<scalar_tag::value, T, const T *>::type
IndirectHelperType;
public:
typedef uint16_t size_type;
typedef typename IndirectHelper<IndirectHelperType>::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<IndirectHelperType>::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_
+495
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@@ -0,0 +1,495 @@
#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 23
#define FLATBUFFERS_VERSION_MINOR 5
#define FLATBUFFERS_VERSION_REVISION 9
#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:
// - __suppress_ubsan__("undefined")
// - __suppress_ubsan__("signed-integer-overflow")
#if defined(__clang__) && (__clang_major__ > 3 || (__clang_major__ == 3 && __clang_minor__ >=7))
#define __suppress_ubsan__(type) __attribute__((no_sanitize(type)))
#elif defined(__GNUC__) && (__GNUC__ * 100 + __GNUC_MINOR__ >= 409)
#define __suppress_ubsan__(type) __attribute__((no_sanitize_undefined))
#else
#define __suppress_ubsan__(type)
#endif
// 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(uoffset_t) + sizeof(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(disable: 4351) // C4351: new behavior: elements of array ... will be default initialized
#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.
__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.
__suppress_ubsan__("alignment")
void WriteScalar(void *p, T t) {
*reinterpret_cast<T *>(p) = EndianScalar(t);
}
template<typename T> struct Offset;
template<typename T> __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).
__suppress_ubsan__("unsigned-integer-overflow")
inline size_t PaddingBytes(size_t buf_size, size_t scalar_size) {
return ((~buf_size) + 1) & (scalar_size - 1);
}
// 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(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"
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; }
};
// 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; }
};
// 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> 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<const T *> {
typedef const T *return_type;
typedef T *mutable_return_type;
static const size_t element_stride = sizeof(T);
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 +1,114 @@
/*
* 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_; }
// 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);
}
// 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 E operator | (E lhs, E rhs){\
return E(T(lhs) | T(rhs));\
}\
inline E operator & (E lhs, E rhs){\
return E(T(lhs) & T(rhs));\
}\
inline E operator ^ (E lhs, E rhs){\
return E(T(lhs) ^ T(rhs));\
}\
inline E operator ~ (E lhs){\
return E(~T(lhs));\
}\
inline E operator |= (E &lhs, E rhs){\
lhs = lhs | rhs;\
return lhs;\
}\
inline E operator &= (E &lhs, E rhs){\
lhs = lhs & rhs;\
return lhs;\
}\
inline E operator ^= (E &lhs, E rhs){\
lhs = lhs ^ rhs;\
return lhs;\
}\
inline bool operator !(E rhs) \
{\
return !bool(T(rhs)); \
}
/// @endcond
} // namespace flatbuffers
// clang-format on
#endif // FLATBUFFERS_H_
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/*
* 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
#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) ? false : (*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());
}
#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_;
}
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_); }
// 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 +1,288 @@
/*
* 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 <cstdint>
#include <algorithm>
#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_
+330
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@@ -0,0 +1,330 @@
/*
* 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
class Verifier 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 Verifier(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 Verifier::Options.
Verifier(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)
: Verifier(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
#ifdef FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE
if (!ok)
upper_bound_ = 0;
#endif
// clang-format on
return ok;
}
// Verify any range within the buffer.
bool Verify(const size_t elem, const size_t elem_len) const {
// clang-format off
#ifdef FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE
auto upper_bound = elem + elem_len;
if (upper_bound_ < upper_bound)
upper_bound_ = upper_bound;
#endif
// clang-format on
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;
}
__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);
return Check(o != 0) &&
reinterpret_cast<const T *>(buf_ + start + o)->Verify(*this)
// clang-format off
#ifdef FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE
&& GetComputedSize()
#endif
;
// clang-format on
}
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;
Verifier 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) &&
Check(ReadScalar<SizeT>(buf_) == size_ - sizeof(SizeT)) &&
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
size_t GetComputedSize() const {
// clang-format off
#ifdef FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE
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;
#else
// Must turn on FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE for this to work.
(void)upper_bound_;
FLATBUFFERS_ASSERT(false);
return 0;
#endif
// clang-format on
}
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<>
inline size_t Verifier::VerifyOffset<uoffset64_t>(const size_t start) const {
return VerifyOffset<uoffset64_t, soffset64_t>(start);
}
} // 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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+54
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@@ -0,0 +1,54 @@
#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
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@@ -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
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@@ -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
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@@ -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
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@@ -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
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@@ -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
View File
@@ -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
View File
@@ -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
View File
@@ -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
View File
@@ -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
View File
@@ -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
View File
@@ -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);
+1 -1
View File
@@ -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()
+11 -11
View File
@@ -2,32 +2,32 @@ function(download_ippicv root_var)
set(${root_var} "" PARENT_SCOPE)
# Commit SHA in the opencv_3rdparty repo
set(IPPICV_COMMIT "a56b6ac6f030c312b2dce17430eef13aed9af274")
set(IPPICV_COMMIT "0cc4aa06bf2bef4b05d237c69a5a96b9cd0cb85a")
# Define actual ICV versions
if(APPLE)
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_2021.10.0_lnx_intel64_20230919_general.tgz")
set(OPENCV_ICV_HASH "606a19b207ebedfe42d59fd916cc4850")
else()
set(OPENCV_ICV_NAME "ippicv_2020_lnx_ia32_20191018_general.tgz")
set(OPENCV_ICV_HASH "ad189a940fb60eb71f291321322fe3e8")
set(OPENCV_ICV_NAME "ippicv_2021.10.0_lnx_ia32_20230919_general.tgz")
set(OPENCV_ICV_HASH "ea08487b810baad2f68aca87b74a2db9")
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_2021.10.0_win_intel64_20230919_general.zip")
set(OPENCV_ICV_HASH "538a819ec84193a9c9f3c0f8df0be8b7")
else()
set(OPENCV_ICV_NAME "ippicv_2020_win_ia32_20191018_general.zip")
set(OPENCV_ICV_HASH "cd39bdf0c2e1cac9a61101dad7a2413e")
set(OPENCV_ICV_NAME "ippicv_2021.10.0_win_ia32_20230919_general.zip")
set(OPENCV_ICV_HASH "8ff93c69415ab0835cc1e94dc5660f5d")
endif()
else()
return()
+102 -13
View File
@@ -4,9 +4,9 @@ ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter -Wsign-compare -Wshorten-6
set(VERSION_MAJOR 2)
set(VERSION_MINOR 1)
set(VERSION_REVISION 2)
set(VERSION_REVISION 3)
set(VERSION ${VERSION_MAJOR}.${VERSION_MINOR}.${VERSION_REVISION})
set(LIBJPEG_TURBO_VERSION_NUMBER 2001002)
set(LIBJPEG_TURBO_VERSION_NUMBER 2001003)
string(TIMESTAMP BUILD "opencv-${OPENCV_VERSION}-libjpeg-turbo")
if(CMAKE_BUILD_TYPE STREQUAL "Debug")
@@ -15,8 +15,53 @@ 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 ${CMAKE_OSX_ARCHITECTURES})
endif()
if(CMAKE_OSX_ARCHITECTURES MATCHES "ppc")
set(CPU_TYPE powerpc)
endif()
if(MSVC_IDE AND CMAKE_GENERATOR_PLATFORM MATCHES "arm64")
set(CPU_TYPE arm64)
endif()
OCV_OPTION(ENABLE_LIBJPEG_TURBO_SIMD "Include SIMD extensions for libjpeg-turbo, if available for this platform" (NOT CV_DISABLE_OPTIMIZATION)
VISIBLE_IF BUILD_JPEG)
option(WITH_ARITH_ENC "Include arithmetic encoding support when emulating the libjpeg v6b API/ABI" TRUE)
option(WITH_ARITH_DEC "Include arithmetic decoding support when emulating the libjpeg v6b API/ABI" TRUE)
set(WITH_SIMD 1)
set(HAVE_LIBJPEG_TURBO_SIMD 0 PARENT_SCOPE)
include(CheckCSourceCompiles)
include(CheckIncludeFiles)
@@ -79,14 +124,13 @@ configure_file(jconfigint.h.in jconfigint.h)
include_directories(${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(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)
if(WITH_ARITH_ENC OR WITH_ARITH_DEC)
set(JPEG_SOURCES ${JPEG_SOURCES} jaricom.c)
@@ -100,12 +144,57 @@ if(WITH_ARITH_DEC)
set(JPEG_SOURCES ${JPEG_SOURCES} jdarith.c)
endif()
# No SIMD
set(JPEG_SOURCES ${JPEG_SOURCES} jsimd_none.c)
if(CMAKE_COMPILER_IS_GNUCC OR CMAKE_C_COMPILER_ID STREQUAL "Clang")
# Use the maximum optimization level for release builds
foreach(var CMAKE_C_FLAGS_RELEASE CMAKE_C_FLAGS_RELWITHDEBINFO)
if(${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()
if(ENABLE_LIBJPEG_TURBO_SIMD)
add_subdirectory(src/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()
else()
add_library(jsimd OBJECT src/jsimd_none.c)
set_target_properties(jsimd PROPERTIES FOLDER "3rdparty")
if(NOT WIN32 AND (CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED))
set_target_properties(jsimd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
endif()
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} ${SIMD_OBJS})
add_library(${JPEG_LIBRARY} STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} ${JPEG_SOURCES} $<TARGET_OBJECTS:jsimd> ${SIMD_OBJS})
set_target_properties(${JPEG_LIBRARY}
PROPERTIES OUTPUT_NAME ${JPEG_LIBRARY}
+1 -1
View File
@@ -91,7 +91,7 @@ best of our understanding.
The Modified (3-clause) BSD License
===================================
Copyright (C)2009-2021 D. R. Commander. All Rights Reserved.<br>
Copyright (C)2009-2022 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
+3 -3
View File
@@ -4,8 +4,8 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1994-1998, Thomas G. Lane.
* Modified 2003-2010 by Guido Vollbeding.
* It was modified by The libjpeg-turbo Project to include only code relevant
* to libjpeg-turbo.
* libjpeg-turbo Modifications:
* Copyright (C) 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -52,7 +52,7 @@ jpeg_CreateCompress(j_compress_ptr cinfo, int version, size_t structsize)
{
struct jpeg_error_mgr *err = cinfo->err;
void *client_data = cinfo->client_data; /* ignore Purify complaint here */
MEMZERO(cinfo, sizeof(struct jpeg_compress_struct));
memset(cinfo, 0, sizeof(struct jpeg_compress_struct));
cinfo->err = err;
cinfo->client_data = client_data;
}
+6 -6
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Developed 1997-2009 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2015, 2018, D. R. Commander.
* Copyright (C) 2015, 2018, 2021-2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -338,14 +338,14 @@ emit_restart(j_compress_ptr cinfo, int restart_num)
compptr = cinfo->cur_comp_info[ci];
/* DC needs no table for refinement scan */
if (cinfo->progressive_mode == 0 || (cinfo->Ss == 0 && cinfo->Ah == 0)) {
MEMZERO(entropy->dc_stats[compptr->dc_tbl_no], DC_STAT_BINS);
memset(entropy->dc_stats[compptr->dc_tbl_no], 0, DC_STAT_BINS);
/* Reset DC predictions to 0 */
entropy->last_dc_val[ci] = 0;
entropy->dc_context[ci] = 0;
}
/* AC needs no table when not present */
if (cinfo->progressive_mode == 0 || cinfo->Se) {
MEMZERO(entropy->ac_stats[compptr->ac_tbl_no], AC_STAT_BINS);
memset(entropy->ac_stats[compptr->ac_tbl_no], 0, AC_STAT_BINS);
}
}
@@ -836,7 +836,7 @@ start_pass(j_compress_ptr cinfo, boolean gather_statistics)
* We are fully adaptive here and need no extra
* statistics gathering pass!
*/
ERREXIT(cinfo, JERR_NOT_COMPILED);
ERREXIT(cinfo, JERR_NOTIMPL);
/* We assume jcmaster.c already validated the progressive scan parameters. */
@@ -867,7 +867,7 @@ start_pass(j_compress_ptr cinfo, boolean gather_statistics)
if (entropy->dc_stats[tbl] == NULL)
entropy->dc_stats[tbl] = (unsigned char *)(*cinfo->mem->alloc_small)
((j_common_ptr)cinfo, JPOOL_IMAGE, DC_STAT_BINS);
MEMZERO(entropy->dc_stats[tbl], DC_STAT_BINS);
memset(entropy->dc_stats[tbl], 0, DC_STAT_BINS);
/* Initialize DC predictions to 0 */
entropy->last_dc_val[ci] = 0;
entropy->dc_context[ci] = 0;
@@ -880,7 +880,7 @@ start_pass(j_compress_ptr cinfo, boolean gather_statistics)
if (entropy->ac_stats[tbl] == NULL)
entropy->ac_stats[tbl] = (unsigned char *)(*cinfo->mem->alloc_small)
((j_common_ptr)cinfo, JPOOL_IMAGE, AC_STAT_BINS);
MEMZERO(entropy->ac_stats[tbl], AC_STAT_BINS);
memset(entropy->ac_stats[tbl], 0, AC_STAT_BINS);
#ifdef CALCULATE_SPECTRAL_CONDITIONING
if (cinfo->progressive_mode)
/* Section G.1.3.2: Set appropriate arithmetic conditioning value Kx */
+11 -11
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1997, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2009-2011, 2014-2016, 2018-2021, D. R. Commander.
* Copyright (C) 2009-2011, 2014-2016, 2018-2022, D. R. Commander.
* Copyright (C) 2015, Matthieu Darbois.
* Copyright (C) 2018, Matthias Räncker.
* Copyright (C) 2020, Arm Limited.
@@ -200,12 +200,12 @@ start_pass_huff(j_compress_ptr cinfo, boolean gather_statistics)
entropy->dc_count_ptrs[dctbl] = (long *)
(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_IMAGE,
257 * sizeof(long));
MEMZERO(entropy->dc_count_ptrs[dctbl], 257 * sizeof(long));
memset(entropy->dc_count_ptrs[dctbl], 0, 257 * sizeof(long));
if (entropy->ac_count_ptrs[actbl] == NULL)
entropy->ac_count_ptrs[actbl] = (long *)
(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_IMAGE,
257 * sizeof(long));
MEMZERO(entropy->ac_count_ptrs[actbl], 257 * sizeof(long));
memset(entropy->ac_count_ptrs[actbl], 0, 257 * sizeof(long));
#endif
} else {
/* Compute derived values for Huffman tables */
@@ -315,8 +315,8 @@ jpeg_make_c_derived_tbl(j_compress_ptr cinfo, boolean isDC, int tblno,
* this lets us detect duplicate VAL entries here, and later
* allows emit_bits to detect any attempt to emit such symbols.
*/
MEMZERO(dtbl->ehufco, sizeof(dtbl->ehufco));
MEMZERO(dtbl->ehufsi, sizeof(dtbl->ehufsi));
memset(dtbl->ehufco, 0, sizeof(dtbl->ehufco));
memset(dtbl->ehufsi, 0, sizeof(dtbl->ehufsi));
/* This is also a convenient place to check for out-of-range
* and duplicated VAL entries. We allow 0..255 for AC symbols
@@ -478,7 +478,7 @@ dump_buffer(working_state *state)
buffer = _buffer; \
while (bytes > 0) { \
bytestocopy = MIN(bytes, state->free_in_buffer); \
MEMCOPY(state->next_output_byte, buffer, bytestocopy); \
memcpy(state->next_output_byte, buffer, bytestocopy); \
state->next_output_byte += bytestocopy; \
buffer += bytestocopy; \
state->free_in_buffer -= bytestocopy; \
@@ -941,8 +941,8 @@ jpeg_gen_optimal_table(j_compress_ptr cinfo, JHUFF_TBL *htbl, long freq[])
/* This algorithm is explained in section K.2 of the JPEG standard */
MEMZERO(bits, sizeof(bits));
MEMZERO(codesize, sizeof(codesize));
memset(bits, 0, sizeof(bits));
memset(codesize, 0, sizeof(codesize));
for (i = 0; i < 257; i++)
others[i] = -1; /* init links to empty */
@@ -1044,7 +1044,7 @@ jpeg_gen_optimal_table(j_compress_ptr cinfo, JHUFF_TBL *htbl, long freq[])
bits[i]--;
/* Return final symbol counts (only for lengths 0..16) */
MEMCOPY(htbl->bits, bits, sizeof(htbl->bits));
memcpy(htbl->bits, bits, sizeof(htbl->bits));
/* Return a list of the symbols sorted by code length */
/* It's not real clear to me why we don't need to consider the codelength
@@ -1083,8 +1083,8 @@ finish_pass_gather(j_compress_ptr cinfo)
/* It's important not to apply jpeg_gen_optimal_table more than once
* per table, because it clobbers the input frequency counts!
*/
MEMZERO(did_dc, sizeof(did_dc));
MEMZERO(did_ac, sizeof(did_ac));
memset(did_dc, 0, sizeof(did_dc));
memset(did_ac, 0, sizeof(did_ac));
for (ci = 0; ci < cinfo->comps_in_scan; ci++) {
compptr = cinfo->cur_comp_info[ci];
+5 -5
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1995-1997, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2011, 2015, 2018, 2021, D. R. Commander.
* Copyright (C) 2011, 2015, 2018, 2021-2022, D. R. Commander.
* Copyright (C) 2016, 2018, Matthieu Darbois.
* Copyright (C) 2020, Arm Limited.
* Copyright (C) 2021, Alex Richardson.
@@ -275,7 +275,7 @@ start_pass_phuff(j_compress_ptr cinfo, boolean gather_statistics)
entropy->count_ptrs[tbl] = (long *)
(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_IMAGE,
257 * sizeof(long));
MEMZERO(entropy->count_ptrs[tbl], 257 * sizeof(long));
memset(entropy->count_ptrs[tbl], 0, 257 * sizeof(long));
} else {
/* Compute derived values for Huffman table */
/* We may do this more than once for a table, but it's not expensive */
@@ -584,8 +584,8 @@ encode_mcu_DC_first(j_compress_ptr cinfo, JBLOCKROW *MCU_data)
continue; \
/* For a negative coef, want temp2 = bitwise complement of abs(coef) */ \
temp2 ^= temp; \
values[k] = temp; \
values[k + DCTSIZE2] = temp2; \
values[k] = (JCOEF)temp; \
values[k + DCTSIZE2] = (JCOEF)temp2; \
zerobits |= ((size_t)1U) << k; \
} \
}
@@ -1062,7 +1062,7 @@ finish_pass_gather_phuff(j_compress_ptr cinfo)
/* It's important not to apply jpeg_gen_optimal_table more than once
* per table, because it clobbers the input frequency counts!
*/
MEMZERO(did, sizeof(did));
memset(did, 0, sizeof(did));
for (ci = 0; ci < cinfo->comps_in_scan; ci++) {
compptr = cinfo->cur_comp_info[ci];
+4 -4
View File
@@ -3,8 +3,8 @@
*
* This file is part of the Independent JPEG Group's software:
* Copyright (C) 1994-1996, Thomas G. Lane.
* It was modified by The libjpeg-turbo Project to include only code relevant
* to libjpeg-turbo.
* libjpeg-turbo Modifications:
* Copyright (C) 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -289,8 +289,8 @@ create_context_buffer(j_compress_ptr cinfo)
cinfo->max_h_samp_factor) / compptr->h_samp_factor),
(JDIMENSION)(3 * rgroup_height));
/* Copy true buffer row pointers into the middle of the fake row array */
MEMCOPY(fake_buffer + rgroup_height, true_buffer,
3 * rgroup_height * sizeof(JSAMPROW));
memcpy(fake_buffer + rgroup_height, true_buffer,
3 * rgroup_height * sizeof(JSAMPROW));
/* Fill in the above and below wraparound pointers */
for (i = 0; i < rgroup_height; i++) {
fake_buffer[i] = true_buffer[2 * rgroup_height + i];
+3 -3
View File
@@ -5,7 +5,7 @@
* Copyright (C) 1995-1998, Thomas G. Lane.
* Modified 2000-2009 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2020, D. R. Commander.
* Copyright (C) 2020, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -100,8 +100,8 @@ jpeg_copy_critical_parameters(j_decompress_ptr srcinfo, j_compress_ptr dstinfo)
qtblptr = &dstinfo->quant_tbl_ptrs[tblno];
if (*qtblptr == NULL)
*qtblptr = jpeg_alloc_quant_table((j_common_ptr)dstinfo);
MEMCOPY((*qtblptr)->quantval, srcinfo->quant_tbl_ptrs[tblno]->quantval,
sizeof((*qtblptr)->quantval));
memcpy((*qtblptr)->quantval, srcinfo->quant_tbl_ptrs[tblno]->quantval,
sizeof((*qtblptr)->quantval));
(*qtblptr)->sent_table = FALSE;
}
}
+3 -3
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1994-1998, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2016, D. R. Commander.
* Copyright (C) 2016, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -53,7 +53,7 @@ jpeg_CreateDecompress(j_decompress_ptr cinfo, int version, size_t structsize)
{
struct jpeg_error_mgr *err = cinfo->err;
void *client_data = cinfo->client_data; /* ignore Purify complaint here */
MEMZERO(cinfo, sizeof(struct jpeg_decompress_struct));
memset(cinfo, 0, sizeof(struct jpeg_decompress_struct));
cinfo->err = err;
cinfo->client_data = client_data;
}
@@ -92,7 +92,7 @@ jpeg_CreateDecompress(j_decompress_ptr cinfo, int version, size_t structsize)
cinfo->master = (struct jpeg_decomp_master *)
(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_PERMANENT,
sizeof(my_decomp_master));
MEMZERO(cinfo->master, sizeof(my_decomp_master));
memset(cinfo->master, 0, sizeof(my_decomp_master));
}
+7 -1
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1994-1996, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2010, 2015-2020, D. R. Commander.
* Copyright (C) 2010, 2015-2020, 2022, D. R. Commander.
* Copyright (C) 2015, Google, Inc.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
@@ -159,6 +159,7 @@ jpeg_crop_scanline(j_decompress_ptr cinfo, JDIMENSION *xoffset,
JDIMENSION input_xoffset;
boolean reinit_upsampler = FALSE;
jpeg_component_info *compptr;
my_master_ptr master = (my_master_ptr)cinfo->master;
if (cinfo->global_state != DSTATE_SCANNING || cinfo->output_scanline != 0)
ERREXIT1(cinfo, JERR_BAD_STATE, cinfo->global_state);
@@ -208,6 +209,11 @@ jpeg_crop_scanline(j_decompress_ptr cinfo, JDIMENSION *xoffset,
*/
*width = *width + input_xoffset - *xoffset;
cinfo->output_width = *width;
if (master->using_merged_upsample && cinfo->max_v_samp_factor == 2) {
my_merged_upsample_ptr upsample = (my_merged_upsample_ptr)cinfo->upsample;
upsample->out_row_width =
cinfo->output_width * cinfo->out_color_components;
}
/* Set the first and last iMCU columns that we must decompress. These values
* will be used in single-scan decompressions.
+11 -11
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Developed 1997-2015 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2015-2020, D. R. Commander.
* Copyright (C) 2015-2020, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -210,13 +210,13 @@ process_restart(j_decompress_ptr cinfo)
for (ci = 0; ci < cinfo->comps_in_scan; ci++) {
compptr = cinfo->cur_comp_info[ci];
if (!cinfo->progressive_mode || (cinfo->Ss == 0 && cinfo->Ah == 0)) {
MEMZERO(entropy->dc_stats[compptr->dc_tbl_no], DC_STAT_BINS);
memset(entropy->dc_stats[compptr->dc_tbl_no], 0, DC_STAT_BINS);
/* Reset DC predictions to 0 */
entropy->last_dc_val[ci] = 0;
entropy->dc_context[ci] = 0;
}
if (!cinfo->progressive_mode || cinfo->Ss) {
MEMZERO(entropy->ac_stats[compptr->ac_tbl_no], AC_STAT_BINS);
memset(entropy->ac_stats[compptr->ac_tbl_no], 0, AC_STAT_BINS);
}
}
@@ -471,17 +471,17 @@ decode_mcu_AC_refine(j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if (*thiscoef) { /* previously nonzero coef */
if (arith_decode(cinfo, st + 2)) {
if (*thiscoef < 0)
*thiscoef += m1;
*thiscoef += (JCOEF)m1;
else
*thiscoef += p1;
*thiscoef += (JCOEF)p1;
}
break;
}
if (arith_decode(cinfo, st + 1)) { /* newly nonzero coef */
if (arith_decode(cinfo, entropy->fixed_bin))
*thiscoef = m1;
*thiscoef = (JCOEF)m1;
else
*thiscoef = p1;
*thiscoef = (JCOEF)p1;
break;
}
st += 3; k++;
@@ -698,8 +698,8 @@ bad:
/* Check that the scan parameters Ss, Se, Ah/Al are OK for sequential JPEG.
* This ought to be an error condition, but we make it a warning.
*/
if (cinfo->Ss != 0 || cinfo->Ah != 0 || cinfo->Al != 0 ||
(cinfo->Se < DCTSIZE2 && cinfo->Se != DCTSIZE2 - 1))
if (cinfo->Ss != 0 || cinfo->Se != DCTSIZE2 - 1 ||
cinfo->Ah != 0 || cinfo->Al != 0)
WARNMS(cinfo, JWRN_NOT_SEQUENTIAL);
/* Select MCU decoding routine */
entropy->pub.decode_mcu = decode_mcu;
@@ -715,7 +715,7 @@ bad:
if (entropy->dc_stats[tbl] == NULL)
entropy->dc_stats[tbl] = (unsigned char *)(*cinfo->mem->alloc_small)
((j_common_ptr)cinfo, JPOOL_IMAGE, DC_STAT_BINS);
MEMZERO(entropy->dc_stats[tbl], DC_STAT_BINS);
memset(entropy->dc_stats[tbl], 0, DC_STAT_BINS);
/* Initialize DC predictions to 0 */
entropy->last_dc_val[ci] = 0;
entropy->dc_context[ci] = 0;
@@ -727,7 +727,7 @@ bad:
if (entropy->ac_stats[tbl] == NULL)
entropy->ac_stats[tbl] = (unsigned char *)(*cinfo->mem->alloc_small)
((j_common_ptr)cinfo, JPOOL_IMAGE, AC_STAT_BINS);
MEMZERO(entropy->ac_stats[tbl], AC_STAT_BINS);
memset(entropy->ac_stats[tbl], 0, AC_STAT_BINS);
}
}
+4 -9
View File
@@ -5,7 +5,7 @@
* Copyright (C) 1994-1996, Thomas G. Lane.
* Modified 2009-2012 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2013, 2016, D. R. Commander.
* Copyright (C) 2013, 2016, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -23,11 +23,6 @@
#include "jpeglib.h"
#include "jerror.h"
#ifndef HAVE_STDLIB_H /* <stdlib.h> should declare malloc(),free() */
extern void *malloc(size_t size);
extern void free(void *ptr);
#endif
/* Expanded data destination object for stdio output */
@@ -116,7 +111,7 @@ empty_output_buffer(j_compress_ptr cinfo)
{
my_dest_ptr dest = (my_dest_ptr)cinfo->dest;
if (JFWRITE(dest->outfile, dest->buffer, OUTPUT_BUF_SIZE) !=
if (fwrite(dest->buffer, 1, OUTPUT_BUF_SIZE, dest->outfile) !=
(size_t)OUTPUT_BUF_SIZE)
ERREXIT(cinfo, JERR_FILE_WRITE);
@@ -141,7 +136,7 @@ empty_mem_output_buffer(j_compress_ptr cinfo)
if (nextbuffer == NULL)
ERREXIT1(cinfo, JERR_OUT_OF_MEMORY, 10);
MEMCOPY(nextbuffer, dest->buffer, dest->bufsize);
memcpy(nextbuffer, dest->buffer, dest->bufsize);
free(dest->newbuffer);
@@ -175,7 +170,7 @@ term_destination(j_compress_ptr cinfo)
/* Write any data remaining in the buffer */
if (datacount > 0) {
if (JFWRITE(dest->outfile, dest->buffer, datacount) != datacount)
if (fwrite(dest->buffer, 1, datacount, dest->outfile) != datacount)
ERREXIT(cinfo, JERR_FILE_WRITE);
}
fflush(dest->outfile);
+2 -2
View File
@@ -5,7 +5,7 @@
* Copyright (C) 1994-1996, Thomas G. Lane.
* Modified 2009-2011 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2013, 2016, D. R. Commander.
* Copyright (C) 2013, 2016, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -104,7 +104,7 @@ fill_input_buffer(j_decompress_ptr cinfo)
my_src_ptr src = (my_src_ptr)cinfo->src;
size_t nbytes;
nbytes = JFREAD(src->infile, src->buffer, INPUT_BUF_SIZE);
nbytes = fread(src->buffer, 1, INPUT_BUF_SIZE, src->infile);
if (nbytes <= 0) {
if (src->start_of_file) /* Treat empty input file as fatal error */
+2 -2
View File
@@ -6,7 +6,7 @@
* Modified 2002-2010 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright 2009 Pierre Ossman <ossman@cendio.se> for Cendio AB
* Copyright (C) 2010, 2015, D. R. Commander.
* Copyright (C) 2010, 2015, 2022, D. R. Commander.
* Copyright (C) 2013, MIPS Technologies, Inc., California.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
@@ -345,7 +345,7 @@ jinit_inverse_dct(j_decompress_ptr cinfo)
compptr->dct_table =
(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_IMAGE,
sizeof(multiplier_table));
MEMZERO(compptr->dct_table, sizeof(multiplier_table));
memset(compptr->dct_table, 0, sizeof(multiplier_table));
/* Mark multiplier table not yet set up for any method */
idct->cur_method[ci] = -1;
}
-4
View File
@@ -18,10 +18,6 @@
#include "jpeglib.h"
#include "jerror.h"
#ifndef HAVE_STDLIB_H /* <stdlib.h> should declare malloc() */
extern void *malloc(size_t size);
#endif
#define ICC_MARKER (JPEG_APP0 + 2) /* JPEG marker code for ICC */
#define ICC_OVERHEAD_LEN 14 /* size of non-profile data in APP2 */
+2 -2
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1997, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2010, 2016, 2018, D. R. Commander.
* Copyright (C) 2010, 2016, 2018, 2022, D. R. Commander.
* Copyright (C) 2015, Google, Inc.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
@@ -264,7 +264,7 @@ latch_quant_tables(j_decompress_ptr cinfo)
qtbl = (JQUANT_TBL *)
(*cinfo->mem->alloc_small) ((j_common_ptr)cinfo, JPOOL_IMAGE,
sizeof(JQUANT_TBL));
MEMCOPY(qtbl, cinfo->quant_tbl_ptrs[qtblno], sizeof(JQUANT_TBL));
memcpy(qtbl, cinfo->quant_tbl_ptrs[qtblno], sizeof(JQUANT_TBL));
compptr->quant_table = qtbl;
}
}
+4 -4
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1998, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2012, 2015, D. R. Commander.
* Copyright (C) 2012, 2015, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -473,7 +473,7 @@ get_dht(j_decompress_ptr cinfo)
for (i = 0; i < count; i++)
INPUT_BYTE(cinfo, huffval[i], return FALSE);
MEMZERO(&huffval[count], (256 - count) * sizeof(UINT8));
memset(&huffval[count], 0, (256 - count) * sizeof(UINT8));
length -= count;
@@ -491,8 +491,8 @@ get_dht(j_decompress_ptr cinfo)
if (*htblptr == NULL)
*htblptr = jpeg_alloc_huff_table((j_common_ptr)cinfo);
MEMCOPY((*htblptr)->bits, bits, sizeof((*htblptr)->bits));
MEMCOPY((*htblptr)->huffval, huffval, sizeof((*htblptr)->huffval));
memcpy((*htblptr)->bits, bits, sizeof((*htblptr)->bits));
memcpy((*htblptr)->huffval, huffval, sizeof((*htblptr)->huffval));
}
if (length != 0)
+6 -6
View File
@@ -5,7 +5,7 @@
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2002-2009 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2009-2011, 2016, 2019, D. R. Commander.
* Copyright (C) 2009-2011, 2016, 2019, 2022, D. R. Commander.
* Copyright (C) 2013, Linaro Limited.
* Copyright (C) 2015, Google, Inc.
* For conditions of distribution and use, see the accompanying README.ijg
@@ -417,7 +417,7 @@ prepare_range_limit_table(j_decompress_ptr cinfo)
table += (MAXJSAMPLE + 1); /* allow negative subscripts of simple table */
cinfo->sample_range_limit = table;
/* First segment of "simple" table: limit[x] = 0 for x < 0 */
MEMZERO(table - (MAXJSAMPLE + 1), (MAXJSAMPLE + 1) * sizeof(JSAMPLE));
memset(table - (MAXJSAMPLE + 1), 0, (MAXJSAMPLE + 1) * sizeof(JSAMPLE));
/* Main part of "simple" table: limit[x] = x */
for (i = 0; i <= MAXJSAMPLE; i++)
table[i] = (JSAMPLE)i;
@@ -426,10 +426,10 @@ prepare_range_limit_table(j_decompress_ptr cinfo)
for (i = CENTERJSAMPLE; i < 2 * (MAXJSAMPLE + 1); i++)
table[i] = MAXJSAMPLE;
/* Second half of post-IDCT table */
MEMZERO(table + (2 * (MAXJSAMPLE + 1)),
(2 * (MAXJSAMPLE + 1) - CENTERJSAMPLE) * sizeof(JSAMPLE));
MEMCOPY(table + (4 * (MAXJSAMPLE + 1) - CENTERJSAMPLE),
cinfo->sample_range_limit, CENTERJSAMPLE * sizeof(JSAMPLE));
memset(table + (2 * (MAXJSAMPLE + 1)), 0,
(2 * (MAXJSAMPLE + 1) - CENTERJSAMPLE) * sizeof(JSAMPLE));
memcpy(table + (4 * (MAXJSAMPLE + 1) - CENTERJSAMPLE),
cinfo->sample_range_limit, CENTERJSAMPLE * sizeof(JSAMPLE));
}
+5 -5
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1995-1997, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2015-2016, 2018-2021, D. R. Commander.
* Copyright (C) 2015-2016, 2018-2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -578,9 +578,9 @@ decode_mcu_AC_refine(j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if (GET_BITS(1)) {
if ((*thiscoef & p1) == 0) { /* do nothing if already set it */
if (*thiscoef >= 0)
*thiscoef += p1;
*thiscoef += (JCOEF)p1;
else
*thiscoef += m1;
*thiscoef += (JCOEF)m1;
}
}
} else {
@@ -612,9 +612,9 @@ decode_mcu_AC_refine(j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if (GET_BITS(1)) {
if ((*thiscoef & p1) == 0) { /* do nothing if already changed it */
if (*thiscoef >= 0)
*thiscoef += p1;
*thiscoef += (JCOEF)p1;
else
*thiscoef += m1;
*thiscoef += (JCOEF)m1;
}
}
}
+8 -8
View File
@@ -3,8 +3,8 @@
*
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1998, Thomas G. Lane.
* It was modified by The libjpeg-turbo Project to include only code relevant
* to libjpeg-turbo.
* libjpeg-turbo Modifications:
* Copyright (C) 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -189,13 +189,13 @@ format_message(j_common_ptr cinfo, char *buffer)
/* Format the message into the passed buffer */
if (isstring)
sprintf(buffer, msgtext, err->msg_parm.s);
snprintf(buffer, JMSG_LENGTH_MAX, msgtext, err->msg_parm.s);
else
sprintf(buffer, msgtext,
err->msg_parm.i[0], err->msg_parm.i[1],
err->msg_parm.i[2], err->msg_parm.i[3],
err->msg_parm.i[4], err->msg_parm.i[5],
err->msg_parm.i[6], err->msg_parm.i[7]);
snprintf(buffer, JMSG_LENGTH_MAX, msgtext,
err->msg_parm.i[0], err->msg_parm.i[1],
err->msg_parm.i[2], err->msg_parm.i[3],
err->msg_parm.i[4], err->msg_parm.i[5],
err->msg_parm.i[6], err->msg_parm.i[7]);
}
+4 -2
View File
@@ -5,7 +5,7 @@
* Copyright (C) 1994-1997, Thomas G. Lane.
* Modified 1997-2009 by Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2014, 2017, D. R. Commander.
* Copyright (C) 2014, 2017, 2021-2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -103,7 +103,7 @@ JMESSAGE(JERR_MISMATCHED_QUANT_TABLE,
"Cannot transcode due to multiple use of quantization table %d")
JMESSAGE(JERR_MISSING_DATA, "Scan script does not transmit all data")
JMESSAGE(JERR_MODE_CHANGE, "Invalid color quantization mode change")
JMESSAGE(JERR_NOTIMPL, "Not implemented yet")
JMESSAGE(JERR_NOTIMPL, "Requested features are incompatible")
JMESSAGE(JERR_NOT_COMPILED, "Requested feature was omitted at compile time")
#if JPEG_LIB_VERSION >= 70
JMESSAGE(JERR_NO_ARITH_TABLE, "Arithmetic table 0x%02x was not defined")
@@ -268,6 +268,7 @@ JMESSAGE(JERR_BAD_DROP_SAMPLING,
#define ERREXITS(cinfo, code, str) \
((cinfo)->err->msg_code = (code), \
strncpy((cinfo)->err->msg_parm.s, (str), JMSG_STR_PARM_MAX), \
(cinfo)->err->msg_parm.s[JMSG_STR_PARM_MAX - 1] = '\0', \
(*(cinfo)->err->error_exit) ((j_common_ptr)(cinfo)))
#define MAKESTMT(stuff) do { stuff } while (0)
@@ -324,6 +325,7 @@ JMESSAGE(JERR_BAD_DROP_SAMPLING,
#define TRACEMSS(cinfo, lvl, code, str) \
((cinfo)->err->msg_code = (code), \
strncpy((cinfo)->err->msg_parm.s, (str), JMSG_STR_PARM_MAX), \
(cinfo)->err->msg_parm.s[JMSG_STR_PARM_MAX - 1] = '\0', \
(*(cinfo)->err->emit_message) ((j_common_ptr)(cinfo), (lvl)))
#endif /* JERROR_H */
+95 -50
View File
@@ -3,8 +3,8 @@
*
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1994, Thomas G. Lane.
* It was modified by The libjpeg-turbo Project to include only code relevant
* to libjpeg-turbo.
* libjpeg-turbo Modifications:
* Copyright (C) 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -17,72 +17,117 @@
* JPEG library. Most applications need only include jpeglib.h.
*/
#ifndef __JINCLUDE_H__
#define __JINCLUDE_H__
/* Include auto-config file to find out which system include files we need. */
#include "jconfig.h" /* auto configuration options */
#include "jconfigint.h"
#define JCONFIG_INCLUDED /* so that jpeglib.h doesn't do it again */
/*
* We need the NULL macro and size_t typedef.
* On an ANSI-conforming system it is sufficient to include <stddef.h>.
* Otherwise, we get them from <stdlib.h> or <stdio.h>; we may have to
* pull in <sys/types.h> as well.
* Note that the core JPEG library does not require <stdio.h>;
* only the default error handler and data source/destination modules do.
* But we must pull it in because of the references to FILE in jpeglib.h.
* You can remove those references if you want to compile without <stdio.h>.
*/
#ifdef HAVE_STDDEF_H
#include <stddef.h>
#endif
#ifdef HAVE_STDLIB_H
#include <stdlib.h>
#endif
#ifdef NEED_SYS_TYPES_H
#include <sys/types.h>
#endif
#include <stdio.h>
/*
* We need memory copying and zeroing functions, plus strncpy().
* ANSI and System V implementations declare these in <string.h>.
* BSD doesn't have the mem() functions, but it does have bcopy()/bzero().
* Some systems may declare memset and memcpy in <memory.h>.
*
* NOTE: we assume the size parameters to these functions are of type size_t.
* Change the casts in these macros if not!
*/
#ifdef NEED_BSD_STRINGS
#include <strings.h>
#define MEMZERO(target, size) \
bzero((void *)(target), (size_t)(size))
#define MEMCOPY(dest, src, size) \
bcopy((const void *)(src), (void *)(dest), (size_t)(size))
#else /* not BSD, assume ANSI/SysV string lib */
#include <string.h>
#define MEMZERO(target, size) \
memset((void *)(target), 0, (size_t)(size))
#define MEMCOPY(dest, src, size) \
memcpy((void *)(dest), (const void *)(src), (size_t)(size))
#endif
/*
* The modules that use fread() and fwrite() always invoke them through
* these macros. On some systems you may need to twiddle the argument casts.
* CAUTION: argument order is different from underlying functions!
* These macros/inline functions facilitate using Microsoft's "safe string"
* functions with Visual Studio builds without the need to scatter #ifdefs
* throughout the code base.
*/
#define JFREAD(file, buf, sizeofbuf) \
((size_t)fread((void *)(buf), (size_t)1, (size_t)(sizeofbuf), (file)))
#define JFWRITE(file, buf, sizeofbuf) \
((size_t)fwrite((const void *)(buf), (size_t)1, (size_t)(sizeofbuf), (file)))
#ifndef NO_GETENV
#ifdef _MSC_VER
static INLINE int GETENV_S(char *buffer, size_t buffer_size, const char *name)
{
size_t required_size;
return (int)getenv_s(&required_size, buffer, buffer_size, name);
}
#else /* _MSC_VER */
#include <errno.h>
/* This provides a similar interface to the Microsoft/C11 getenv_s() function,
* but other than parameter validation, it has no advantages over getenv().
*/
static INLINE int GETENV_S(char *buffer, size_t buffer_size, const char *name)
{
char *env;
if (!buffer) {
if (buffer_size == 0)
return 0;
else
return (errno = EINVAL);
}
if (buffer_size == 0)
return (errno = EINVAL);
if (!name) {
*buffer = 0;
return 0;
}
env = getenv(name);
if (!env)
{
*buffer = 0;
return 0;
}
if (strlen(env) + 1 > buffer_size) {
*buffer = 0;
return ERANGE;
}
strncpy(buffer, env, buffer_size);
return 0;
}
#endif /* _MSC_VER */
#endif /* NO_GETENV */
#ifndef NO_PUTENV
#ifdef _WIN32
#define PUTENV_S(name, value) _putenv_s(name, value)
#else
/* This provides a similar interface to the Microsoft _putenv_s() function, but
* other than parameter validation, it has no advantages over setenv().
*/
static INLINE int PUTENV_S(const char *name, const char *value)
{
if (!name || !value)
return (errno = EINVAL);
setenv(name, value, 1);
return errno;
}
#endif /* _WIN32 */
#endif /* NO_PUTENV */
#endif /* JINCLUDE_H */
+7 -9
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1997, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2016, 2021, D. R. Commander.
* Copyright (C) 2016, 2021-2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -37,12 +37,6 @@
#endif
#include <limits.h>
#ifndef NO_GETENV
#ifndef HAVE_STDLIB_H /* <stdlib.h> should declare getenv() */
extern char *getenv(const char *name);
#endif
#endif
LOCAL(size_t)
round_up_pow2(size_t a, size_t b)
@@ -1162,12 +1156,16 @@ jinit_memory_mgr(j_common_ptr cinfo)
*/
#ifndef NO_GETENV
{
char *memenv;
char memenv[30] = { 0 };
if ((memenv = getenv("JPEGMEM")) != NULL) {
if (!GETENV_S(memenv, 30, "JPEGMEM") && strlen(memenv) > 0) {
char ch = 'x';
#ifdef _MSC_VER
if (sscanf_s(memenv, "%ld%c", &max_to_use, &ch, 1) > 0) {
#else
if (sscanf(memenv, "%ld%c", &max_to_use, &ch) > 0) {
#endif
if (ch == 'm' || ch == 'M')
max_to_use *= 1000L;
mem->pub.max_memory_to_use = max_to_use * 1000L;
-5
View File
@@ -22,11 +22,6 @@
#include "jpeglib.h"
#include "jmemsys.h" /* import the system-dependent declarations */
#ifndef HAVE_STDLIB_H /* <stdlib.h> should declare malloc(),free() */
extern void *malloc(size_t size);
extern void free(void *ptr);
#endif
/*
* Memory allocation and freeing are controlled by the regular library
-4
View File
@@ -100,11 +100,7 @@ typedef unsigned char UINT8;
/* UINT16 must hold at least the values 0..65535. */
#ifdef HAVE_UNSIGNED_SHORT
typedef unsigned short UINT16;
#else /* not HAVE_UNSIGNED_SHORT */
typedef unsigned int UINT16;
#endif /* HAVE_UNSIGNED_SHORT */
/* INT16 must hold at least the values -32768..32767. */
-9
View File
@@ -373,12 +373,3 @@ extern const int jpeg_natural_order[]; /* zigzag coef order to natural order */
/* Arithmetic coding probability estimation tables in jaricom.c */
extern const JLONG jpeg_aritab[];
/* Suppress undefined-structure complaints if necessary. */
#ifdef INCOMPLETE_TYPES_BROKEN
#ifndef AM_MEMORY_MANAGER /* only jmemmgr.c defines these */
struct jvirt_sarray_control { long dummy; };
struct jvirt_barray_control { long dummy; };
#endif
#endif /* INCOMPLETE_TYPES_BROKEN */
+5 -4
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1998, Thomas G. Lane.
* libjpeg-turbo Modifications:
* Copyright (C) 2013, D. R. Commander.
* Copyright (C) 2013, 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -29,7 +29,7 @@ add_huff_table(j_common_ptr cinfo, JHUFF_TBL **htblptr, const UINT8 *bits,
return;
/* Copy the number-of-symbols-of-each-code-length counts */
MEMCOPY((*htblptr)->bits, bits, sizeof((*htblptr)->bits));
memcpy((*htblptr)->bits, bits, sizeof((*htblptr)->bits));
/* Validate the counts. We do this here mainly so we can copy the right
* number of symbols from the val[] array, without risking marching off
@@ -41,8 +41,9 @@ add_huff_table(j_common_ptr cinfo, JHUFF_TBL **htblptr, const UINT8 *bits,
if (nsymbols < 1 || nsymbols > 256)
ERREXIT(cinfo, JERR_BAD_HUFF_TABLE);
MEMCOPY((*htblptr)->huffval, val, nsymbols * sizeof(UINT8));
MEMZERO(&((*htblptr)->huffval[nsymbols]), (256 - nsymbols) * sizeof(UINT8));
memcpy((*htblptr)->huffval, val, nsymbols * sizeof(UINT8));
memset(&((*htblptr)->huffval[nsymbols]), 0,
(256 - nsymbols) * sizeof(UINT8));
/* Initialize sent_table FALSE so table will be written to JPEG file. */
(*htblptr)->sent_table = FALSE;
+5 -5
View File
@@ -3,8 +3,8 @@
*
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-1996, Thomas G. Lane.
* It was modified by The libjpeg-turbo Project to include only code
* relevant to libjpeg-turbo.
* libjpeg-turbo Modifications:
* Copyright (C) 2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -110,7 +110,7 @@ jcopy_sample_rows(JSAMPARRAY input_array, int source_row,
for (row = num_rows; row > 0; row--) {
inptr = *input_array++;
outptr = *output_array++;
MEMCOPY(outptr, inptr, count);
memcpy(outptr, inptr, count);
}
}
@@ -120,7 +120,7 @@ jcopy_block_row(JBLOCKROW input_row, JBLOCKROW output_row,
JDIMENSION num_blocks)
/* Copy a row of coefficient blocks from one place to another. */
{
MEMCOPY(output_row, input_row, num_blocks * (DCTSIZE2 * sizeof(JCOEF)));
memcpy(output_row, input_row, num_blocks * (DCTSIZE2 * sizeof(JCOEF)));
}
@@ -129,5 +129,5 @@ jzero_far(void *target, size_t bytestozero)
/* Zero out a chunk of memory. */
/* This might be sample-array data, block-array data, or alloc_large data. */
{
MEMZERO(target, bytestozero);
memset(target, 0, bytestozero);
}
+54
View File
@@ -0,0 +1,54 @@
/*
* jversion.h
*
* 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, 2012-2022, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
* This file contains software version identification.
*/
#if JPEG_LIB_VERSION >= 80
#define JVERSION "8d 15-Jan-2012"
#elif JPEG_LIB_VERSION >= 70
#define JVERSION "7 27-Jun-2009"
#else
#define JVERSION "6b 27-Mar-1998"
#endif
/*
* NOTE: It is our convention to place the authors in the following order:
* - libjpeg-turbo authors (2009-) in descending order of the date of their
* most recent contribution to the project, then in ascending order of the
* date of their first contribution to the project, then in alphabetical
* order
* - Upstream authors in descending order of the date of the first inclusion of
* their code
*/
#define JCOPYRIGHT \
"Copyright (C) 2009-2022 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) 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"
#define JCOPYRIGHT_SHORT \
"Copyright (C) @COPYRIGHT_YEAR@ The libjpeg-turbo Project and many others"
+545
View File
@@ -0,0 +1,545 @@
macro(simd_fail message)
message(STATUS "libjpeg-turbo(SIMD): ${message}. Performance will suffer.")
set(WITH_SIMD 0 PARENT_SCOPE)
endmacro()
macro(boolean_number var)
if(${var})
set(${var} 1 ${ARGN})
else()
set(${var} 0 ${ARGN})
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()
include(CheckLanguage)
check_language(ASM_NASM)
if(NOT CMAKE_ASM_NASM_COMPILER)
simd_fail("SIMD extensions disabled: could not find NASM compiler")
return()
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 "${CMAKE_ASM_NASM_FLAGS} -DWIN32")
endif()
endif()
if(NOT CMAKE_ASM_NASM_OBJECT_FORMAT)
simd_fail("SIMD extensions disabled: could not determine NASM object format")
return()
endif()
get_filename_component(CMAKE_ASM_NASM_COMPILER_TYPE
"${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()
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}}")
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)
set_target_properties(jsimdcfg PROPERTIES FOLDER "3rdparty")
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(jsimd OBJECT ${CPU_TYPE}/jsimd.c)
add_custom_target(jsimd-objs DEPENDS ${SIMD_OBJS})
add_dependencies(jsimd jsimd-objs)
set_target_properties(jsimd PROPERTIES FOLDER "3rdparty")
set_target_properties(jsimd-objs PROPERTIES FOLDER "3rdparty")
else()
add_library(jsimd OBJECT ${SIMD_SOURCES} ${CPU_TYPE}/jsimd.c)
endif()
if(NOT WIN32 AND (CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED))
set_target_properties(jsimd 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[] = {
(int16_t)argc, (int16_t)argc, (int16_t)argc, (int16_t)argc,
(int16_t)argc, (int16_t)argc, (int16_t)argc, (int16_t)argc,
(int16_t)argc, (int16_t)argc, (int16_t)argc, (int16_t)argc
};
int16x4x3_t 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[] = {
(uint16_t)argc, (uint16_t)argc, (uint16_t)argc, (uint16_t)argc,
(uint16_t)argc, (uint16_t)argc, (uint16_t)argc, (uint16_t)argc
};
uint16x4x2_t 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[] = {
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc,
(uint8_t)argc, (uint8_t)argc, (uint8_t)argc, (uint8_t)argc
};
uint8x16x4_t 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
RESULT_VARIABLE RESULT OUTPUT_VARIABLE OUTPUT ERROR_VARIABLE ERROR)
if(NOT RESULT EQUAL 0)
message(STATUS "libjpeg-turbo(SIMD): 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(jsimd OBJECT ${SIMD_SOURCES} arm/aarch${BITS}/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(jsimd 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(jsimd OBJECT mips/jsimd_dspr2.S mips/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(jsimd 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("
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(jsimd OBJECT ${SIMD_SOURCES} mips64/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(jsimd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# PowerPC (Intrinsics)
###############################################################################
elseif(CPU_TYPE STREQUAL "powerpc")
set(CMAKE_REQUIRED_FLAGS -maltivec)
check_c_source_compiles("
#include <altivec.h>
int main(void) {
__vector int vi = { 0, 0, 0, 0 };
int i[4];
vec_st(vi, 0, i);
return i[0];
}" HAVE_ALTIVEC)
unset(CMAKE_REQUIRED_FLAGS)
if(NOT HAVE_ALTIVEC)
simd_fail("SIMD extensions not available for this CPU (PowerPC SPE)")
return()
endif()
set(SIMD_SOURCES powerpc/jccolor-altivec.c powerpc/jcgray-altivec.c
powerpc/jcsample-altivec.c powerpc/jdcolor-altivec.c
powerpc/jdmerge-altivec.c powerpc/jdsample-altivec.c
powerpc/jfdctfst-altivec.c powerpc/jfdctint-altivec.c
powerpc/jidctfst-altivec.c powerpc/jidctint-altivec.c
powerpc/jquanti-altivec.c)
set_source_files_properties(${SIMD_SOURCES} PROPERTIES
COMPILE_FLAGS -maltivec)
add_library(jsimd OBJECT ${SIMD_SOURCES} powerpc/jsimd.c)
if(CMAKE_POSITION_INDEPENDENT_CODE OR ENABLE_SHARED)
set_target_properties(jsimd PROPERTIES POSITION_INDEPENDENT_CODE 1)
endif()
###############################################################################
# None
###############################################################################
else()
simd_fail("SIMD extensions not available for this CPU (${CMAKE_SYSTEM_PROCESSOR})")
endif() # CPU_TYPE
@@ -0,0 +1,148 @@
/*
* jccolext-neon.c - 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;
}
}
}
@@ -0,0 +1,334 @@
/*
* jchuff-neon.c - Huffman entropy encoding (32-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.
*
* NOTE: All referenced figures are from
* Recommendation ITU-T T.81 (1992) | ISO/IEC 10918-1:1994.
*/
#define JPEG_INTERNALS
#include "../../../jinclude.h"
#include "../../../jpeglib.h"
#include "../../../jsimd.h"
#include "../../../jdct.h"
#include "../../../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;
}
+980
View File
@@ -0,0 +1,980 @@
/*
* jsimd_arm.c
*
* 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, D. R. Commander.
* Copyright (C) 2015-2016, 2018, 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 "../../../jinclude.h"
#include "../../../jpeglib.h"
#include "../../../jsimd.h"
#include "../../../jdct.h"
#include "../../../jsimddct.h"
#include "../../jsimd.h"
#include <stdio.h>
#include <string.h>
#include <ctype.h>
static unsigned int simd_support = ~0;
static 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.
*
* FIXME: This code is racy under a multi-threaded environment.
*/
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, JCOEF *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, JCOEF *absvalues, size_t *bits)
{
return jsimd_encode_mcu_AC_refine_prepare_neon(block,
jpeg_natural_order_start, Sl,
Al, absvalues, bits);
}
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,316 @@
/*
* jccolext-neon.c - 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));
}
}
}
@@ -0,0 +1,411 @@
/*
* jchuff-neon.c - Huffman entropy encoding (64-bit Arm Neon)
*
* Copyright (C) 2020-2021, Arm Limited. All Rights Reserved.
* Copyright (C) 2020, 2022, 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 "../../../jinclude.h"
#include "../../../jpeglib.h"
#include "../../../jsimd.h"
#include "../../../jdct.h"
#include "../../../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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+28
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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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/*
* jccolor-neon.c - 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.
*/
#define JPEG_INTERNALS
#include "../../jinclude.h"
#include "../../jpeglib.h"
#include "../../jsimd.h"
#include "../../jdct.h"
#include "../../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)
#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)
#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)
#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)
#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)
#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)
#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)
#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
+120
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@@ -0,0 +1,120 @@
/*
* jcgray-neon.c - 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.
*/
#define JPEG_INTERNALS
#include "../../jinclude.h"
#include "../../jpeglib.h"
#include "../../jsimd.h"
#include "../../jdct.h"
#include "../../jsimddct.h"
#include "../jsimd.h"
#include "align.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

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