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Author SHA1 Message Date
Alexander Smorkalov 5199850039 Version update to 4.8.1. 2023-09-27 13:18:31 +03:00
Alexander Smorkalov 4ddd1181df Use proper branch for CI pipelines. 2023-09-27 12:22:37 +03:00
Alexander Smorkalov f11c74d52a CI update for 4.8.x branch. 2023-09-27 10:48:19 +03:00
Vincent Rabaud 5d591b2a17 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
2023-09-27 10:10:12 +03:00
Zihao Mu 31c803d15e 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
2023-09-27 10:08:16 +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
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
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
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
Alexander Smorkalov fe14e7ab24 Merge pull request #23758 from AleksandrPanov:add_GenericGraphicalCode_interface
Add graphical code detector interface
2023-06-09 15:46:32 +03:00
Alexander Smorkalov 61488885b5 Refreshed JavaScript bindings for Aruco related algorithms. 2023-06-09 15:43:43 +03:00
Vincent Rabaud 472aad46a6 Merge pull request #23596 from vrabaud:libavif
Add AVIF support through libavif. #23596

This is to fix https://github.com/opencv/opencv/issues/19271
Extra: https://github.com/opencv/opencv_extra/pull/1069

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-09 15:39:10 +03:00
Alexander Smorkalov 0c8e6e0e68 Merge pull request #23740 from Peekabooc:4.x
fixing typo in stitching parameter names
2023-06-09 13:40:02 +03:00
Pierre Chatelier 60b806f9b8 Merge pull request #22947 from chacha21:hasNonZero
Added cv::hasNonZero() #22947 

`cv::hasNonZero()` is semantically equivalent to (`cv::countNonZero()>0`) but stops parsing the image when a non-zero value is found, for a performance gain

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

This pull request might be refused, but I submit it to know if further work is needed or if I just stop working on it.
The idea is only a performance gain vs `countNonZero()>0` at the cost of more code.

Reasons why it might be refused :

- this is just more code
- the execution time is "unfair"/"unpredictable" since it depends on the position of the first non-zero value
- the user must be aware that default search is from first row/col to last row/col and has no way to customize that, even if his use case lets him know where a non zero could be found
- the PR in its current state is using, for the ocl implementation, a mere `countNonZero()>0` ; there is not much sense in trying to break early the ocl kernel call when non-zero is encountered. So the ocl implementation does not bring any improvement.
- there is no IPP function that can help (`countNonZero()` is based in `ippCountInRange`)
- the PR in its current state might be slower than a call to `countNonZero()>0` in some cases (see "challenges" below)

Reasons why it might be accepted :

- the performance gain is huge on average, if we consider that "on average" means "non zero in the middle of the image"
- the "missing" IPP implementation is replaced by an "Open-CV universal intrinsics" implementation
- the PR in its current state is almost always faster than a call to `countNonZero()>0`, is only slightly slower in the worst cases, and not even for all matrices

**Challenges**
The worst case is either an all-zero matrix, or a non-zero at the very last position.  In such a case, the `hasNonZero()` implementation will parse the whole matrix like `countNonZero()` would do. But we expect the performance to be the same in this case. And `ippCountInRange` is hard to beat !
There is also the case of very small matrices (<=32x32...) in 8b, where the SIMD can be hard to feed.

For all cases but the worse, my custom `hasNonZero()` performs better than `ippCountInRange()`
For the worst case, my custom `hasNonZero()` performs better than `ippCountInRange()` *except for large matrices of type CV_32S or CV_64F* (but surprisingly, not CV_32F).
The difference is small, but it exists (and I don't understand why).
For very small CV_8U matrices `ippCountInRange()` seems unbeatable.

Here is the code that I use to check timings

```

  //test cv::hasNonZero() vs (cv::countNonZero()>0) for different matrices sizes, types, strides...
  {
    cv::setRNGSeed(1234);
    const std::vector<cv::Size> sizes = {{32, 32}, {64, 64}, {128, 128}, {320, 240}, {512, 512}, {640, 480}, {1024, 768}, {2048, 2048}, {1031, 1000}};
    const std::vector<int> types = {CV_8U, CV_16U, CV_32S, CV_32F, CV_64F};
    const size_t iterations = 1000;
    for(const cv::Size& size : sizes)
    {
      for(const int type : types)
      {
        for(int c = 0 ; c<2 ; ++c)
        {
          const bool continuous = !c;
          for(int i = 0 ; i<4 ; ++i)
          {
            cv::Mat m = continuous ? cv::Mat::zeros(size, type) : cv::Mat(cv::Mat::zeros(cv::Size(2*size.width, size.height), type), cv::Rect(cv::Point(0, 0), size));
            const bool nz = (i <= 2);
            const unsigned int nzOffsetRange = 10;
            const unsigned int nzOffset = cv::randu<unsigned int>()%nzOffsetRange;
            const cv::Point pos = 
              (i == 0) ? cv::Point(nzOffset, 0) :
              (i == 1) ? cv::Point(size.width/2-nzOffsetRange/2+nzOffset, size.height/2) :
              (i == 2) ? cv::Point(size.width-1-nzOffset, size.height-1) :
              cv::Point(0, 0);
            std::cout << "============================================================" << std::endl;
            std::cout << "size:" << size << "  type:" << type << "  continuous = " << (continuous ? "true" : "false") << "  iterations:" << iterations << "  nz=" << (nz ? "true" : "false");
            std::cout << "  pos=" << ((i == 0) ? "begin" : (i == 1) ? "middle" : (i == 2) ? "end" : "none");
            std::cout << std::endl;
            cv::Mat mask = cv::Mat::zeros(size, CV_8UC1);
            mask.at<unsigned char>(pos) = 0xFF;
            m.setTo(cv::Scalar::all(0));
            m.setTo(cv::Scalar::all(nz ? 1 : 0), mask);
            std::vector<bool> results;
            std::vector<double> timings;

            {
              bool res = false;
              auto ref = cv::getTickCount();
              for(size_t k = 0 ; k<iterations ; ++k)
                res = cv::hasNonZero(m);
              auto now = cv::getTickCount();
              const bool error = (res != nz);
              if (error)
                printf("!!ERROR!!\r\n");
              results.push_back(res);
              timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
            }
            {
              bool res = false;
              auto ref = cv::getTickCount();
              for(size_t k = 0 ; k<iterations ; ++k)
                res = (cv::countNonZero(m)>0);
              auto now = cv::getTickCount();
              const bool error = (res != nz);
              if (error)
                printf("!!ERROR!!\r\n");
              results.push_back(res);
              timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
            }

            const size_t bestTimingIndex = (std::min_element(timings.begin(), timings.end())-timings.begin());
            if ((bestTimingIndex != 0) || (std::find_if_not(results.begin(), results.end(), [&](bool r) {return (r == nz);}) != results.end()))
            {
              std::cout << "cv::hasNonZero\t\t=>" << results[0] << ((results[0] != nz) ? "  ERROR" : "") << "   perf:" << timings[0] << "ms => " << (iterations/timings[0]*1000) << " im/s" << ((bestTimingIndex == 0) ? " * " : "") << std::endl;
              std::cout << "cv::countNonZero\t=>" << results[1] << ((results[1] != nz) ? "  ERROR" : "") << "   perf:" << timings[1] << "ms => " << (iterations/timings[1]*1000) << " im/s" << ((bestTimingIndex == 1) ? " * " : "") << std::endl;
            }
          }
        }
      }
    }
  }

```

Here is a report of this benchmark (it only reports timings when `cv::countNonZero()` is faster)
My CPU is an Intel Core I7 4790 @ 3.60Ghz

```

============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
cv::hasNonZero          =>1   perf:0.353764ms => 2.82674e+06 im/s
cv::countNonZero        =>1   perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:0.610478ms => 1.63806e+06 im/s
cv::countNonZero        =>1   perf:0.283182ms => 3.5313e+06 im/s *
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:0.630115ms => 1.58701e+06 im/s
cv::countNonZero        =>0   perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:0.607347ms => 1.64651e+06 im/s
cv::countNonZero        =>1   perf:0.467037ms => 2.14116e+06 im/s *
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:0.618162ms => 1.6177e+06 im/s
cv::countNonZero        =>0   perf:0.468175ms => 2.13595e+06 im/s *
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:895.381ms => 1116.84 im/s
cv::countNonZero        =>1   perf:882.569ms => 1133.06 im/s *
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:899.53ms => 1111.69 im/s
cv::countNonZero        =>0   perf:870.894ms => 1148.24 im/s *
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:2018.92ms => 495.313 im/s
cv::countNonZero        =>1   perf:1966.37ms => 508.552 im/s *
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:2005.87ms => 498.537 im/s
cv::countNonZero        =>0   perf:1992.78ms => 501.812 im/s *
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=false  pos=none
done

```
2023-06-09 13:37:20 +03:00
Alexander Alekhin e1ce2146f5 build(ios): disable workaround for CMake 3.25.1+ 2023-06-09 09:21:55 +00:00
Zihao Mu eec8a20c33 Merge pull request #23763 from zihaomu:add_runtime_check
DNN: fix bug for X86 Winograd #23763

Address https://github.com/opencv/opencv/issues/23760
The patch aims to add a runtime check for X86 platform without AVX(2).

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-09 09:18:12 +03:00
Alexander Smorkalov 5d913f4d72 Merge pull request #21959 from cpoerschke:4.x-intelligent-scissors-optimisation
imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap
2023-06-08 16:45:04 +03:00
Alex b729d8e821 added graphicalCodeDetector, remove QRCodeDetectorBase 2023-06-08 14:50:58 +03:00
Alexander Smorkalov 6d2cbc4055 Merge pull request #23761 from LaurentBerger:typeblobfromimages
checktype in blobFromImages and blobFromImagesWithParams
2023-06-08 09:59:01 +03:00
Alexander Smorkalov 6d0add4285 Merge pull request #23762 from TolyaTalamanov:at/gapi-ov-backend-hotfix
G-API: OpenVINO Backend Hotfix
2023-06-08 09:50:34 +03:00
Christine Poerschke f597838685 imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap 2023-06-07 22:06:52 +01:00
TolyaTalamanov af95395fe7 Fix ifdef condition 2023-06-07 15:42:54 +01:00
unknown 5f8e43da85 checktype in blobFromImages and blobFromImagesWithParams 2023-06-07 16:15:58 +02:00
Abduragim Shtanchaev 6b53fe8f7b Merge pull request #23746 from Abdurrahheem:ash/graph_simplifier
Assertion Fix in Split Layer #23746

### Pull Request Readiness Checklist

This PR fixes issue mentioned in [#23663](https://github.com/opencv/opencv/issues/23663)
Merge with https://github.com/opencv/opencv_extra/pull/1067

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-07 16:01:42 +03:00
Christine Poerschke d3e7968927 Merge pull request #23688 from cpoerschke:4.x-pr-21959-prep
imgproc: add contour values check to IntelligentScissorsMB tests

Preparation for the #21959 changes as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1560511500 suggestion.

### Pull Request Readiness Checklist

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

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-07 11:32:17 +03:00
Alexander Smorkalov b9ce87e8e2 Merge pull request #23750 from mshabunin:fix-bgr2hls-access
imgproc/cvtColor: fixed invalid read in BGR2HLS
2023-06-06 11:34:08 +03:00
Alexander Smorkalov af03e000c7 Merge pull request #23732 from vekkuli:vekkuli-patch-create-featherblender
Fix missuse of try_gpu in stitching/FeatherBlender
2023-06-06 10:00:36 +03:00
Alexander Smorkalov 635bbfe92b Merge pull request #23748 from AleksandrPanov:fix_cornerRefinementMethod_binding
fix Java bindings for cornerRefinementMethod binding
2023-06-06 09:59:13 +03:00
Maksim Shabunin adab462e42 imgproc/cvtColor: fixed invalid read in BGR2HLS 2023-06-05 23:25:44 +03:00
Alex b5ac7ef2f2 fix cornerRefinementMethod binding 2023-06-05 11:04:11 +03:00
Wang Kai 983925c685 fixing typo 2023-06-04 19:06:26 +08:00
Alexander Smorkalov 84457a5dcd Merge pull request #23729 from asmorkalov:as/create_samples_overflow
Fixed potential buffer overflow of user file name in create_samples_app
2023-06-03 10:13:11 +03:00
Jaakko Rantala 385003e9fe Update blenders.cpp
Removed passing try_gpu parameter to FeatherBlender constructor because it only has sharpness parameter.
2023-06-02 16:46:05 +03:00
Alexander Panov 9fa014edcd Merge pull request #23264 from AleksandrPanov:add_detect_qr_with_aruco
Add detect qr with aruco #23264

Using Aruco to detect finder patterns to search QR codes.

TODO (in next PR):
- add single QR detect (update `detect()` and `detectAndDecode()`)
- need reduce full enumeration of finder patterns
- need add finder pattern info to `decode` step
- need to merge the pipeline of the old and new algorithm

[Current results:](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit#gid=1192415584)
+20% total detect, +8% total decode in OpenCV [QR benchmark](https://github.com/opencv/opencv_benchmarks/tree/develop/python_benchmarks/qr_codes) 

![res1](https://user-images.githubusercontent.com/22337800/231228556-191d3eae-a318-44e1-af99-e7d420bf6248.png)


78.4% detect, 58.7% decode vs 58.5 detect, 50.5% decode in default

[main.py.txt](https://github.com/opencv/opencv/files/10762369/main.py.txt)

![res2](https://user-images.githubusercontent.com/22337800/231229123-ed7f1eda-159a-444b-a3ff-f107d8eb4a20.png)


add new info to [google docs](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit?usp=sharing)


### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-06-02 16:18:24 +03:00
Anatoliy Talamanov 5330112f05 Merge pull request #23595 from TolyaTalamanov:at/implement-openvino-backend
[G-API] Implement OpenVINO 2.0 backend #23595

### Pull Request Readiness Checklist

Implemented basic functionality for `OpenVINO` 2.0 G-API backend.

#### Overview
- [x] Implement `Infer` kernel with some of essential configurable parameters + IR/Blob models format support.
- [ ] Implement the rest of kernels: `InferList`, `InferROI`, `Infer2` + other configurable params (e.g reshape)
- [x] Asyncrhonous execution support
- [ ] Remote context support

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-02 14:31:03 +03:00
Alexander Smorkalov 66f86e898c Fixed potential buffer overflow of user file name in create_samples_app 2023-06-02 10:33:24 +03:00
Alexander Smorkalov 36d6ca529d Merge pull request #23721 from asmorkalov:as/openjpeg_2.5_warning_fix
Fixed OpenJPEG 2000 compiler warning for some GCC versions (#23710)
2023-06-02 09:40:45 +03:00
Alexander Smorkalov 2104d61d4a Merge pull request #23668 from TolyaTalamanov:at/fix-resize-applying-logic-ie-backend
WIP: [G-API] IE Backend: Update the condition for applying the resize preprocessing
2023-06-01 13:55:07 +03:00
Alexander Smorkalov fe7c5e3f64 Merge pull request #23722 from asmorkalov:as/python_classifiers_update
Python package classifiers sync with OpenCV-Python repo
2023-06-01 13:53:36 +03:00
Alexander Smorkalov 0787c31f41 Python package classifiers sync with OpenCV-Python repo. 2023-06-01 10:49:27 +03:00
Alexander Smorkalov 2f805ff7ad Fixed OpenJPEG 2000 compiler warning for some GCC versions (#23710). 2023-06-01 10:21:43 +03:00
Anna Khakimova 6d3dd24622 Merge pull request #21797 from anna-khakimova:ak/merge3_extend_supported_types
GAPI Fluid SIMD:Add support of new several types for the Merge3

- Support of the new several types was added.
- Fixes for the Split/Merge and ConvertTo issues.
2023-05-31 14:59:39 +03:00
Dmitry Matveev fc5d412ba7 Merge pull request #23597 from dmatveev:dm/gapi_onnx_py_integration
G-API: Integration branch for ONNX & Python-related changes #23597

# Changes overview

## 1. Expose ONNX backend's Normalization and Mean-value parameters in Python

* Since Python G-API bindings rely on `Generic` infer to express Inference, the `Generic` specialization of `onnx::Params` was extended with new methods to control normalization (`/255`) and mean-value; these methods were exposed in the Python bindings
* Found some questionable parts in the existing API which I'd like to review/discuss (see comments)

UPD:
1. Thanks to @TolyaTalamanov normalization inconsistencies have been identified with `squeezenet1.0-9` ONNX model itself; tests using these model were updated to DISABLE normalization and NOT using mean/value.
2. Questionable parts were removed and tests still pass.

### Details (taken from @TolyaTalamanov's comment):

`squeezenet1.0.*onnx` - doesn't require scaling to [0,1] and mean/std because the weights of the first convolution already scaled. ONNX documentation is broken. So the correct approach to use this models is:

1. ONNX: apply preprocessing from the documentation: https://github.com/onnx/models/blob/main/vision/classification/imagenet_preprocess.py#L8-L44 but without normalization step:
```
# DON'T DO IT:
# mean_vec = np.array([0.485, 0.456, 0.406])
# stddev_vec = np.array([0.229, 0.224, 0.225])
# norm_img_data = np.zeros(img_data.shape).astype('float32')
# for i in range(img_data.shape[0]):
#     norm_img_data[i,:,:] = (img_data[i,:,:]/255 - mean_vec[i]) / stddev_vec[i]
#     # add batch channel
#     norm_img_data = norm_img_data.reshape(1, 3, 224, 224).astype('float32')
#     return norm_img_data

# INSTEAD
return img_data.reshape(1, 3, 224, 224)
```

2. G-API: Convert image from BGR to RGB and then pass to `apply` as-is with configuring parameters:
```
net = cv.gapi.onnx.params('squeezenet', model_filename)
net.cfgNormalize('data_0', False)
```
**Note**: Results might be difference because `G-API` doesn't apply central crop but just do resize to model resolution.

---

`squeezenet1.1.*onnx` - requires scaling to [0,1] and mean/std - onnx documentation is correct.
1. ONNX: apply preprocessing from the documentation: https://github.com/onnx/models/blob/main/vision/classification/imagenet_preprocess.py#L8-L44
2. G-API: Convert image from BGR to RGB and then pass to `apply` as-is with configuring parameters:
```
net = cv.gapi.onnx.params('squeezenet', model_filename)
net.cfgNormalize('data_0', True) // default
net.cfgMeanStd('data_0', [0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
```
**Note**: Results might be difference because `G-API` doesn't apply central crop but just do resize to model resolution.

## 2. Expose Fluid & kernel package-related functionality in Python

* `cv::gapi::combine()`
* `cv::GKernelPackage::size()` (mainly for testing purposes)
* `cv::gapi::imgproc::fluid::kernels()`

Added a test for the above.

## 3. Fixed issues with Python stateful kernel handling

Fixed error message when `outMeta()` of custom python operation fails.

## 4. Fixed various issues in Python tests

1. `test_gapi_streaming.py` - fixed behavior of Desync test to avoid sporadic issues
2. `test_gapi_infer_onnx.py` - fixed model lookup (it was still using the ONNX Zoo layout but was NOT using the proper env var we use to point to one).

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-30 17:52:17 +03:00
Pierre Chatelier 93d490213f Merge pull request #23690 from chacha21:rotatedRectangleIntersection_precision
better accuracy for _rotatedRectangleIntersection() (proposal for #23546) #23690

_rotatedRectangleIntersection() can be (statically) customized to use double instead of float for better accuracy
this is a proposal for experimentation around #23546

for better accuracy, _rotatedRectangleIntersection() could use double. It will still return cv::Point2f list for backward compatibility, but the inner computations are controlled by a typedef

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-30 17:46:39 +03:00
Alexander Smorkalov c55aee1e79 Merge pull request #23707 from Orange-OpenSource:ONNX_Squeeze_negative_index_for_the_axes_attribute
Addition of normalize_axis to ONNXImporter::parseSqueeze
2023-05-30 16:33:25 +03:00
Olivier Hotel 0442c6fa81 Addition of normalize_axis to ONNXImporter::parseSqueeze to support negative values for the axes attribut.
Negative values are part of the ONNX optset>=11.

Signed-off-by: Olivier Hotel <olivier.hotel@orange.com>
2023-05-30 10:21:27 +02:00
Alexander Smorkalov 1457320702 Merge pull request #23703 from Abdurrahheem:ash/graph_simplifier
Added missing index for skipping subgraph simplification
2023-05-30 10:31:00 +03:00
Abduragim Shtanchaev ecd2e8ff47 added index that check all inputs of nodes that
match
2023-05-29 14:48:42 +03:00
Alexander Smorkalov 02397ef851 Merge pull request #23567 from seanm:UBSan-overflow
Reformulated some pointer arithmetic to avoid (unsigned) overflow
2023-05-29 12:19:34 +03:00
Alexander Smorkalov f1076541d1 Merge pull request #23514 from tappytaps:mac-catalyst-fix
updated mac catalyst target to be compatible with latest xCode / macos
2023-05-29 12:18:16 +03:00
Christine Poerschke b5e9eb742c Merge pull request #23698 from cpoerschke:4.x-pr-21959-perf
imgproc: add basic IntelligentScissorsMB performance test #23698

Adding basic performance test that can be used before and after the #21959 changes etc. as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1565240926 comment.

### Pull Request Readiness Checklist

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

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-29 11:02:59 +03:00
Alexander Smorkalov 6ad77b2319 Merge pull request #23682 from asmorkalov:as/openjpeg_2.5.0
3rdparty: OpenJPEG update 2.4.0 => 2.5.0
2023-05-29 08:56:57 +03:00
Alexander Smorkalov 67e0ed93a9 Merge pull request #23695 from triple-Mu:triplemu/fix-python-binding
Update setup.py
2023-05-27 18:29:33 +03:00
triple Mu 1bffe170e1 Update setup.py
Fix error:
UnboundLocalError: local variable 'typing_stub_files' referenced before assignment
2023-05-27 17:23:32 +08:00
Alexander Smorkalov 7b998c30e7 Merge pull request #23694 from dkurt:update_matchTemplateMask
Update matchTemplate with mask
2023-05-27 09:42:55 +03:00
Sean McBride 2083fdc9c0 Fixed UBSan warning about undefined pointer arithmetic overflow
Pointer arithmetic overflow is always undefined, whether signed or unsigned.

It warned here:

`Addition of unsigned offset to 0x00017fd31b97 overflowed to 0x00017fd30c97`

Convert the offset to a signed number, so that we can offset either forward or backwards.

In my own use of OpenCV at least, this is the only case of pointer arithmetic overflow.
2023-05-26 15:54:52 -04:00
Alexander Smorkalov d1b158b9dd Merge pull request #23692 from asmorkalov:as/ffmpeg_fps_3.4
backport to 3.4: Fixed FPS computation on some videos for FFmpeg backend
2023-05-26 20:47:13 +03:00
Dmitry Kurtaev 380caa1a87 Merge pull request #23691 from dkurt:pycv_float16_fixes
Import and export np.float16 in Python #23691

### Pull Request Readiness Checklist

* Also, fixes `cv::norm` with `NORM_INF` and `CV_16F`

resolves https://github.com/opencv/opencv/issues/23687

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-26 18:56:21 +03:00
Alexander Smorkalov 900f17d563 Merge pull request #23677 from asmorkalov:as/objc_naming_backport
ObjC naming backport from 5.x
2023-05-26 18:54:34 +03:00
Dmitry Kurtaev c97942cf78 Fix mask thresholding 2023-05-26 18:51:33 +03:00
captain-n3m0 6157db6462 Fixed matchTemplate function. #23585 2023-05-26 18:51:01 +03:00
Duong Dac a9424868a1 Merge pull request #20370 from ddacw:stub-gen-next
Python typing stub generation #20370

Add stub generation to `gen2.py`, addressing #14590.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [x] There is reference to original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-26 18:25:46 +03:00
Alexander Smorkalov 749935866d Merge pull request #23664 from asmorkalov:as/solveLP_infeasible
Added final constrants check to solveLP to filter out flating-point numeric issues
2023-05-26 15:13:49 +03:00
Alexander Smorkalov cbda161c39 Fixed FPS computation on some videos for FFmpeg backend. 2023-05-26 14:36:13 +03:00
Alexander Smorkalov a63636171e Re-integrated OpenJPEG 2.5.0 to OpenCV. 2023-05-26 14:14:30 +03:00
Alexander Smorkalov cf0ba039c3 Merge pull request #23625 from zihaomu:improve_conv
DNN: Remove unnecessary flags for convolution
2023-05-26 12:59:36 +03:00
Alexander Smorkalov c75d0b8ca3 Merge pull request #23684 from LaurentBerger:I23683
solve Issue I23683
2023-05-26 12:01:50 +03:00
Alexander Smorkalov a2b679bc26 Merge pull request #23686 from LaurentBerger:I23685
solve Issue 23685
2023-05-26 10:53:29 +03:00
unknown 45dcd156b7 solve Issue 23685 2023-05-25 21:34:51 +02:00
unknown e6282b8ace solve Issue I23683 2023-05-25 19:42:01 +02:00
anders-nylander 87331ca1a0 Merge pull request #21736 from anders-nylander:fix_android_sdk_tools_dependency
Android: don't require deprecated tools #21736

Checking for these deprecated is no longer necessary, and infact broken on fresh Android SDK installs. Remove the check.

resolves #21735

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
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      Patch to opencv_extra has the same branch name.
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2023-05-25 18:29:14 +03:00
Alexander Smorkalov 65487946cc Added final constrants check to solveLP to filter out flating-point numeric issues. 2023-05-25 17:29:01 +03:00
Dmitry Kurtaev 4823285b55 Merge pull request #23679 from dkurt:py_cv_type_macro
Python bindings for CV_8UC(n) and other types macros #23679

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23628#issuecomment-1562468327

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

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

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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2023-05-25 13:35:58 +03:00
Alexander Smorkalov bbda6f4c57 Backport 5.x: Support for module names that start from digit in ObjC bindings generator. 2023-05-25 11:45:59 +03:00
Dmitry Kurtaev 29b2f77b5f Merge pull request #23674 from dkurt:py_cv_maketype
CV_MAKETYPE Python binding #23674 

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23628

```python
import cv2 as cv

t = cv.CV_MAKETYPE(cv.CV_32F, 4)
```

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-25 09:45:22 +03:00
Maksim Shabunin 537060d96f Merge pull request #23672 from mshabunin:fix-javadoc17 2023-05-24 23:07:27 +03:00
Alexander Smorkalov dbd1811d53 OpenJPEG 2000 update to version 2.5.0 2023-05-24 21:02:11 +03:00
zihaomu 4384e77bd1 when stride ==0, it should be bug 2023-05-24 21:57:59 +08:00
TolyaTalamanov dc714c1181 Change logic for applying resize 2023-05-24 13:06:19 +00:00
Alexander Smorkalov d4861bfd1f Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-05-24 14:37:48 +03:00
Akshat Chauhan c07145fe28 Merge pull request #23662 from akormous:docfix
Fix truncated sentenced in boxPoints documentation #22975 #23662

Resolves #22975

Completed the sentence as per the suggestion given in the issue #22975
### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2023-05-24 11:41:25 +03:00
Alexander Smorkalov e09684647a Merge pull request #23657 from asmorkalov:as/uyvy_cvtColor_size_check
Added check that YUYV input of cvtColor has even width.
2023-05-23 15:07:49 +03:00
Alexander Smorkalov 98d678c2d2 Added check that YUYV input of cvtColor has even width. 2023-05-23 14:17:43 +03:00
Alexander Smorkalov 4a559bc2ab Merge pull request #23656 from peters:patch-2
Build fix for AVX 256
2023-05-23 09:20:34 +03:00
Fabrizio Di Vittorio 044a322519 Merge pull request #23594 from fdivitto:fdivitto-traincascade-patch
fix: traincascade, use C++ persistence API #23594

This pull allows to compile traincascade application with OpenCV 4.6. Changes uses new persistence C++ API in place of legacy one.
2023-05-23 09:19:27 +03:00
Alexander Smorkalov e3c5c0906b Merge pull request #23371 from cudawarped:cuda_add_futher_python_interop
`cuda`: Add bindings to allow `GpuMat` and `Stream` objects to be initialized from memory initialized in other libraries
2023-05-22 18:17:12 +03:00
Alexander Smorkalov 2e9eb05751 Merge pull request #23641 from zihaomu:ci_of_vulkan
[CI] : add the ci node of Vulkan
2023-05-22 16:32:51 +03:00
Alexander Smorkalov b122a4b436 Merge pull request #23646 from dkurt:dnn_ie_region_fix
Fix Region layer with OpenVINO in case of different width/height
2023-05-22 16:22:50 +03:00
Christine Poerschke d00a96315e Merge pull request #23612 from cpoerschke:3.4-issue-21532
QRCodeDetector: don't floodFill with outside-of-image seedPoint #23612

Fixes #21532.

### Pull Request Readiness Checklist

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

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-22 13:34:30 +03:00
Peter Rekdal Khan-Sunde 04970490ec Build fix
/build/build_cuda/3p/opencv/linux-x64/ubuntu22.04/Debug/modules/dnn/src/layers/cpu_kernels/convolution.cpp: In function 'void cv::dnn::packData8(char*&, float*&, int&, int&, int&, const int*, int, int, int)':
/build/build_cuda/3p/opencv/linux-x64/ubuntu22.04/Debug/modules/dnn/src/layers/cpu_kernels/convolution.cpp:448:43: error: 'CONV_NR' was not declared in this scope; did you mean 'CONV_3D'?
  448 |                 vx_store(inpbufC_FP32 + k*CONV_NR, vx_load(inptrInC + k1));
      |                                           ^~~~~~~
      |                                           CONV_3D
2023-05-22 11:25:04 +02:00
Alexander Smorkalov 9976074271 Merge pull request #23652 from rahulnoronha:patch-1
Update properties - typo
2023-05-22 11:38:55 +03:00
cudawarped 7539abecdb cuda: add python bindings to allow GpuMat and Stream objects to be initialized from raw pointers 2023-05-22 11:02:04 +03:00
Rahul Noronha d79a6eddf2 Update properties - typo
Typo present, changing OpenVC to OpenCV.
2023-05-21 14:03:44 +05:30
Alexander Smorkalov 3f3c821800 Merge pull request #23631 from asmorkalov:as/eigen_NOMINMAX_warning_fix
Build warning fix on Windows for Eigen wrapper.
2023-05-19 21:06:41 +03:00
Vladimir Ponomarev 97c021b17a Merge pull request #23575 from vovka643:4.x_aruco_calib3d_calibration
add ChArUco board pattern into calib3d/camera_calibration #23575

Added opportunity to calibrate camera using ChArUco board pattern in /samples/cpp/tutorial_code/calib3d/camera_calibration/caera_calibration.cpp 
### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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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.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-19 20:32:04 +03:00
Vladimir Ponomarev 9931da772d Merge pull request #23363 from vovka643:4.x_generate_charuco
Added charuco board generation to gen_pattern.py #23363

added charuco board generation in gen_pattern.py
moved aruco_dict_utils.cpp to samples from opencv_contrib (https://github.com/opencv/opencv_contrib/pull/3464)

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-19 20:25:59 +03:00
Alexander Smorkalov f2311d1bfd Merge pull request #23645 from Abdurrahheem:ash/tf_init_input_check
Add assert to check if layer input size is not empty
2023-05-19 13:28:24 +03:00
Zihao Mu 5025f29378 speed up vulkan dnn, and support ios and apple m1 chip. (#23349) 2023-05-18 20:02:27 +03:00
Alexander Smorkalov 435ccfdd51 Merge pull request #23638 from soyszala:issue#23633
Proposed solution for issue #23633
2023-05-18 19:05:45 +03:00
Dmitry Kurtaev af14780526 Fix Region layer with OpenVINO in case of different width/height 2023-05-18 17:45:30 +03:00
Abduragim Shtanchaev 2b9d2c726a add assert to check if layer input size is not empty 2023-05-18 16:17:57 +03:00
zihaomu d847f4f0fd add the node from ci-gha 2023-05-18 16:29:22 +08:00
SoY Szala 340e999c45 Proposed solution for issue #23633 2023-05-17 23:06:59 +02:00
Abduragim Shtanchaev d2143bcd44 Merge pull request #23614 from Abdurrahheem:lstm_layout_attribute
LSTM ONNX Layout Attribute Support #23614 

### Explanation

This PR contains necessary changes to support `layout` attribute. This attributes is present in [ONNX](https://github.com/onnx/onnx/blob/main/docs/Operators.md#lstm) and [Torch](https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html#lstm) (in touch it is name as `batch_first=True`) libraries. When `layout = 1` input to LSTM layer is expected to have batch dimension first -> `[batch_size, sequence_length, features]` vs `layout = 0` - default `[sequence_length, batch_size, features]`

### Test Data

Test data and data generator for PR located here [#1063](https://github.com/opencv/opencv_extra/pull/1063)

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-17 22:46:56 +03:00
Alexander Smorkalov 53b678d5cf Merge pull request #23632 from asmorkalov:as/AffineFeature_mask_fix_3.4
Fixed mask handling in AffineFeature
2023-05-17 22:08:42 +03:00
Vladimir Ponomarev d2618bfe11 Merge pull request #23587 from vovka643:4.x_aruco_calibrate_py
Added charuco pattern into calibrate.py #23587

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-17 18:30:30 +03:00
Alexander Smorkalov ae8c90301f Fixed mask handling in AffineFeature. 2023-05-17 12:04:52 +03:00
Alexander Smorkalov 4eec739624 Build warning fix on Windows for Eigen wrapper. 2023-05-17 10:12:02 +03:00
Yuantao Feng eefee8574a dnn: refactor reduce (#23613)
* initial impl

* remove reduce in8; fix reduce importer

* fix bugs and add log sum exp

* remove unnecessary header and fix indentation
2023-05-17 10:03:45 +03:00
Alexander Smorkalov be84824530 Merge pull request #23629 from asmorkalov:as/cpu_features_bindings
Restored Java bindings for CPU features management
2023-05-17 09:39:06 +03:00
Zihao Mu 5229312ad2 Merge pull request #22275 from zihaomu:fp16_support_conv
DNN: FP16 support on Convolution 2D #22275 

## FP16 support on ARM platform
This PR proposes to support FP16 backend in Convolution.
For now, we only support FP16 at ARM aarch64.

In addition to adding fp16, I also added `seperateIm2col` optimization in this patch.

## How to use FP16 to speed up convolution?
```
Net net = readNet(modelPath);
net.setPreferableTarget(DNN_TARGET_CPU_FP16);
net.setInput(blob);
Mat output = net.forward();
```

### TODO List
| Task | Status | Remarks |
|:-------:|:--------:|:------------:|
| Convolution 2D FP16 | ✔️ | Done |
| Winograd FP16 | Because the current modification has reached 2k lines, winograd fp16 will be completed in the next PR. |  |
| Accuracy Test | ✔️ | Done |
| Performance Test | ✔️ | Done |
| Compiler bug | ✔️ | Done |

### Speed Test for FP 16.

**Test on M1 chip, 4 threads.**

| Model Name | FP32 (Conv+Wino) | Conv(FP16) + Wino(FP 32) |
|:-------:|:--------:|:------------:|
| ReseNet 50 | 26.0 ms | **18.05 ms** (25% speed up)|
| MobileNet V2 | 4.17 ms | **3.09 ms (29% speed up)** |

### Speed Test for `seperateIm2col` trick on X86.
**Test on AMD 5600x, 12 threads.**
| Model Name | 4.x | Patch |
|:-------:|:--------:|:------------:|
| MobileNet V2 | 5.6 ms | **3.0 ms (46% speed up)** |

### Performance Test

#### Performance Test of X86 platform: AMD 5600X, with `-perf_threas=1`
|Name of Test|4.x|patch|patch vs 4.x (x-factor)|
|---|:-:|:-:|:-:|
|Name of Test|4.x 0|fp16pr final|fp16pr final vs 4.x 0 (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|1.00|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|1.03|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.92|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.003|0.95|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.006|0.006|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.045|0.033|1.39|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.011|0.009|1.17|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.109|0.078|1.39|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.040|0.042|0.94|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.326|0.342|0.95|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.580|0.589|0.99|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.293|1.382|0.94|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.590|3.710|0.97|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.120|1.191|0.94|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.576|2.872|0.90|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.599|4.670|0.98|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.230|9.582|0.96|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|65.946|69.381|0.95|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|18.915|19.289|0.98|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.404|1.457|0.96|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|2.060|1.501|1.37|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.409|1.464|0.96|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.793|1.838|0.98|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.207|1.199|1.01|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.277|1.275|1.00|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.319|2.370|0.98|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.351|1.346|1.00|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.520|3.612|0.97|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.876|1.880|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.981|1.995|0.99|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.620|2.627|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.202|4.123|1.02|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.429|2.445|0.99|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.591|2.576|1.01|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|3.005|2.998|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.515|3.532|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.115|3.134|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|3.937|3.899|1.01|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.533|5.471|1.01|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.472|3.464|1.00|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.302|4.322|1.00|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.100|6.035|1.01|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.580|6.484|1.01|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|9.741|9.634|1.01|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.131|10.156|1.00|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.391|12.350|1.00|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|91.074|87.893|1.04|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|5.903|5.903|1.00|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.890|6.794|1.01|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.160|5.131|1.01|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|4.970|5.036|0.99|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|5.045|5.015|1.01|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.583|11.343|1.02|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.348|5.320|1.01|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.357|5.396|0.99|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.050|6.006|1.01|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|5.952|5.953|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.014|8.014|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.472|12.577|0.99|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|10.803|10.655|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|18.429|13.405|1.37|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.659|6.647|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.192|13.819|1.03|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.045|6.068|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.742|12.828|0.99|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.046|7.773|1.04|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.440|17.192|1.01|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.418|14.972|1.03|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.430|0.430|1.00|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.692|6.663|1.00|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.350|6.347|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.267|0.265|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.755|7.558|1.03|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.203|0.202|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.663|10.576|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.827|10.614|1.02|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.049|6.947|1.01|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|6.900|6.901|1.00|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.165|0.165|1.00|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|17.953|17.251|1.04|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.430|7.320|1.01|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.187|21.705|1.02|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.349|8.126|1.03|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.273|8.297|1.00|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.169|8.094|1.01|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.602|13.359|1.02|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.633|8.584|1.01|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|29.339|28.897|1.02|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|13.000|12.920|1.01|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.262|13.319|1.07|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.453|27.253|1.01|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.052|27.269|1.18|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|15.363|15.208|1.01|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.543|18.434|1.01|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|39.114|37.954|1.03|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.271|36.972|0.98|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.262|19.427|0.99|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.298|19.349|1.00|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.261|19.847|1.02|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.867|21.525|1.02|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.756|49.979|1.04|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|28.133|27.060|1.04|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|25.035|24.980|1.00|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.858|25.821|1.00|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.313|27.149|1.01|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.219|28.111|1.00|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|46.025|46.674|0.99|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|30.220|29.446|1.03|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|49.410|48.708|1.01|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|38.203|38.001|1.01|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|39.961|39.021|1.02|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|48.685|47.075|1.03|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|75.114|72.586|1.03|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.222|41.144|1.00|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.220|46.353|1.00|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.201|98.771|0.99|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|100.106|96.971|1.03|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|146.977|140.445|1.05|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|198.618|194.665|1.02|


#### Performance Test of ARM platform: apple M1, with `-perf_threas=1`

Min (ms)

|Name of Test|4.x|patch|4.x vs patch (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|1.07|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|1.10|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.97|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|0.84|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.009|0.009|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.027|0.030|0.90|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.008|0.007|1.07|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.072|0.91|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.090|0.054|1.68|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.409|0.80|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.659|0.697|0.95|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.266|1.403|0.90|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.550|4.145|0.86|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.188|1.375|0.86|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.683|3.236|0.83|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.491|5.501|0.82|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.916|10.181|0.88|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.995|72.296|0.97|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|22.531|23.139|0.97|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.239|1.933|1.16|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU_FP16)|-|1.010|-|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.134|2.068|1.52|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU_FP16)|-|1.062|-|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.918|1.920|1.00|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU_FP16)|-|1.014|-|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.340|2.352|0.99|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.247|-|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.116|1.111|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU_FP16)|-|1.114|-|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.116|1.112|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|1.113|-|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.067|3.085|0.99|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.622|-|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.153|1.187|0.97|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU_FP16)|-|1.150|-|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.804|4.849|0.99|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU_FP16)|-|2.922|-|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.463|1.469|1.00|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.459|-|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.577|1.580|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU_FP16)|-|1.580|-|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.826|1.818|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU_FP16)|-|1.817|-|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|6.541|5.081|1.29|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU_FP16)|-|2.809|-|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.912|1.919|1.00|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.919|-|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.961|1.971|0.99|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|1.961|-|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.317|2.329|0.99|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU_FP16)|-|2.322|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.920|2.947|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU_FP16)|-|2.924|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.467|2.466|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU_FP16)|-|2.496|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|3.028|2.997|1.01|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|2.986|-|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.353|4.355|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU_FP16)|-|4.355|-|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.762|2.793|0.99|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|2.797|-|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.428|3.226|1.06|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU_FP16)|-|3.223|-|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|3.967|3.957|1.00|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU_FP16)|-|3.960|-|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|4.806|4.387|1.10|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU_FP16)|-|4.366|-|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.509|11.756|1.23|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|6.510|-|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|13.718|13.287|1.03|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU_FP16)|-|7.190|-|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.133|14.853|1.02|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU_FP16)|-|8.671|-|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|41.928|43.328|0.97|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU_FP16)|-|38.072|-|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.409|4.428|1.00|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|4.427|-|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.144|5.363|1.15|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU_FP16)|-|5.368|-|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|3.926|3.932|1.00|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.938|-|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.920|3.915|1.00|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.950|-|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|3.767|3.764|1.00|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|3.762|-|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|19.959|13.875|1.44|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU_FP16)|-|7.781|-|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|3.951|3.955|1.00|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.969|-|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.050|4.034|1.00|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.093|-|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.923|4.506|1.09|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.509|-|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.759|4.476|1.06|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.447|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|6.079|5.628|1.08|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU_FP16)|-|5.625|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.843|17.523|1.13|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|8.917|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.334|8.247|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU_FP16)|-|8.246|-|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|23.164|18.199|1.27|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|9.305|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.184|5.178|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU_FP16)|-|5.149|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.990|18.103|0.99|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|9.777|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.831|4.522|1.07|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|4.523|-|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.328|17.319|1.00|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|8.948|-|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|5.944|5.961|1.00|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU_FP16)|-|5.936|-|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.811|20.064|0.99|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|11.705|-|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.398|17.686|1.27|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU_FP16)|-|9.859|-|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.416|0.416|1.00|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.417|-|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.356|5.110|1.05|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU_FP16)|-|5.114|-|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|5.092|4.748|1.07|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.754|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.260|0.229|1.13|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.229|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.872|5.460|1.08|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU_FP16)|-|5.460|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.161|0.161|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.161|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.176|7.175|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|7.162|-|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.174|7.185|1.00|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU_FP16)|-|7.157|-|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.400|5.180|1.04|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.201|-|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.330|5.188|1.03|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.177|-|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.115|0.115|1.00|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.115|-|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|26.156|20.222|1.29|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU_FP16)|-|11.203|-|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.627|5.543|1.02|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.506|-|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.925|27.741|1.01|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU_FP16)|-|17.217|-|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.359|6.062|1.05|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.048|-|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|6.559|6.322|1.04|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU_FP16)|-|6.280|-|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.412|6.200|1.03|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.197|-|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.167|8.624|1.06|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU_FP16)|-|8.626|-|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|6.755|6.491|1.04|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.520|-|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.664|34.752|1.03|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|20.260|-|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.514|9.414|1.01|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|9.462|-|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.631|9.963|1.07|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|9.935|-|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.465|36.798|1.02|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU_FP16)|-|19.569|-|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|38.157|36.157|1.06|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU_FP16)|-|18.902|-|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.356|10.401|1.00|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|10.360|-|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.641|12.150|1.04|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU_FP16)|-|12.162|-|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.545|50.505|1.00|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|27.950|-|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|54.233|49.603|1.09|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU_FP16)|-|26.515|-|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|13.779|12.968|1.06|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|12.984|-|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|15.809|15.329|1.03|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|15.433|-|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|14.563|14.527|1.00|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|14.480|-|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|16.714|16.484|1.01|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|16.362|-|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.832|65.729|1.18|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|32.065|-|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.903|20.386|1.07|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU_FP16)|-|20.416|-|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.405|18.148|1.12|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU_FP16)|-|18.128|-|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.334|18.521|1.10|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|18.495|-|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.527|19.584|1.10|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|19.630|-|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.715|20.057|1.13|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|20.068|-|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|26.228|24.992|1.05|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|24.957|-|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.524|21.581|1.00|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|21.782|-|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|34.094|31.964|1.07|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|31.925|-|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|28.677|27.813|1.03|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|27.808|-|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|31.274|27.892|1.12|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|27.910|-|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|30.533|30.007|1.02|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|30.089|-|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|39.837|38.312|1.04|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|38.477|-|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|32.480|29.237|1.11|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU_FP16)|-|29.452|-|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|33.544|32.832|1.02|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|32.784|-|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|134.481|130.678|1.03|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU_FP16)|-|70.134|-|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.930|126.530|1.01|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU_FP16)|-|65.261|-|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|201.346|187.007|1.08|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU_FP16)|-|91.525|-|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|252.038|245.587|1.03|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU_FP16)|-|125.477|-|

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-05-17 09:38:33 +03:00
cudawarped 99ef35a353 Videoio: FFMpeg remove locks if OPENCV_FFMPEG_IS_THREAD_SAFE==true 2023-05-17 08:20:46 +03:00
Alexander Smorkalov 05084aa63e Restored Java bindings for CPU features management. 2023-05-16 18:04:09 +03:00
Maksim Shabunin 001a2c5195 Merge pull request #23606 from mshabunin:fix-ffmpeg-packet-limit
videoio/FFmpeg: increased packet read attempt limit, allow configuring it

resolves #9455
related #3225

* Use different counters for wrong packets recieved by demuxer and errors from decoder
* Allow modifying these counters via environment variables `OPENCV_FFMPEG_READ_ATTEMPTS`/`OPENCV_FFMPEG_DECODE_ATTEMPTS`
* Added logging when reading breaks at one of error limits

Notes:
* I've been able to reproduce original issue with a video file with 14 total streams (video + audio + subtitles), at some point in the video only packets from the last stream are being sent by the demuxer, thus exceeding our limit. For my specific video total number of packets from wrong stream was about 2700. I've chosen 4096 as default value.
* Default limit of decoding attempts is quite low, because I'm not sure in which cases it can be exceeded (network stream?). I tried to read 8k video from the disk, but it did not cause break at decode point.
2023-05-16 14:31:04 +03:00
Alexander Smorkalov bcb49d71b4 Merge pull request #23515 from vovka643:4.x_aruco_stereo_calibration
added aruco pattern support into stereo_calibration.cpp
2023-05-16 14:19:53 +03:00
Alexander Smorkalov 59ca444b26 Merge pull request #23560 from WanliZhong:eltwise_cuda_bug
DNN/CUDA: Solve the bug of same shape broadcast with CUDA
2023-05-16 14:16:37 +03:00
Alexander Alekhin 04d71da6e7 Merge pull request #23566 from seanm:atomic-bool 2023-05-16 10:46:59 +00:00
vovka643 fa5c5f4105 added aruco pattern into stereo_calibration.cpp 2023-05-16 12:22:03 +03:00
zihaomu 91b6c8507a remove flag of convolution 2023-05-16 15:29:20 +08:00
Alexander Smorkalov 4e27fc93f8 Merge pull request #23618 from LaurentBerger:unused_var
remove unused var
2023-05-16 09:16:47 +03:00
Alexander Smorkalov 0800574c12 Merge pull request #23619 from TinyTinni:pixel-info-font-color
Fixes pixel info color font for dark Qt themes
2023-05-16 09:15:15 +03:00
unknown 2c4079fa4b remove unused var 2023-05-15 17:51:12 +02:00
Matthias Möller fc43e51331 sets pixel info font colors based on current palette 2023-05-15 17:42:48 +02:00
Dmitry Kurtaev a8d3d1f6f9 Merge pull request #23604 from dkurt:dnn_no_protobuf
Build DNN without Protobuf

DNN module can be built without Protobuf for Darknet, TFLite, OpenVINO, Torch (not PyTorch) models.

```
cmake \
    -DCMAKE_BUILD_TYPE=Release \
    -DBUILD_LIST=dnn \
    -DWITH_PROTOBUF=OFF \
    -DWITH_OPENCL=OFF

7.1M    lib/libopencv_dnn.so.4.7.0
```


```
cmake \
    -DCMAKE_BUILD_TYPE=Release \
    -DBUILD_LIST=dnn \
    -DWITH_OPENCL=OFF

3.9M    lib/libopencv_dnn.so.4.7.0
```

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-15 12:23:18 +03:00
wanli 46991bcd62 Solve the bug of same shape broadcast with CUDA 2023-05-15 13:55:38 +08:00
Alexander Smorkalov 85b04f0b4d Merge pull request #23557 from WanliZhong:eltwise_cpu_bug
fix nary elementwise bug in cpu
2023-05-11 15:56:46 +03:00
Alexander Smorkalov 233478e689 Merge pull request #23600 from dkurt:flatbuffers_23.5.9
Update FlatBuffers source code to 23.5.9
2023-05-10 16:01:43 +03:00
Dmitry Kurtaev 676afdc494 Update FlatBuffers source code to 23.5.9 2023-05-10 14:39:36 +03:00
Alexander Smorkalov 8baabdfb57 Merge pull request #23598 from komakai:fix-objc-gen-baseclass
Fix Objective-C generator handling of base class names
2023-05-10 14:07:38 +03:00
Alexander Smorkalov e5e4424f11 Merge pull request #23583 from siilats:patch-3
Update aruco_detect_board_charuco.py
2023-05-10 09:55:12 +03:00
Giles Payne a44a6f6c87 Fix issue in Objective-C generator when a class name is a substring of its base class name 2023-05-10 15:34:25 +09:00
wanli 85cc4086c8 fix nary elementwise bug in cpu 2023-05-10 14:29:33 +08:00
keith siilats 97d7a4a86e Update aruco_detect_board_charuco.py 2023-05-05 13:23:09 -04:00
Alexander Smorkalov 4ed07411c3 Merge pull request #23290 from vovka643:4.x_depricated_backends
4.x deprecated VideoCapture backends
2023-05-05 17:09:29 +03:00
vovka643 d6dc91b4d4 Added depricated_backends list. Added new information masseges. It needs to inform user, when he tries to use depricated or not uses backend 2023-05-05 14:22:18 +03:00
Alexander Smorkalov f7bee7883b Merge pull request #23479 from vovka643:4.x_charuco_calib
Charuco board into interactive calibration
2023-05-05 11:25:36 +03:00
vovka643 f7e52076b6 Define charuco board parameters with command line 2023-05-05 10:08:21 +03:00
Alexander Smorkalov 88bb007d2b Merge pull request #23572 from gabrielnhn:depthmap_tutorial
(docs) Depthmap py_tutorial: add reference to cv.StereoBM class documentation
2023-05-05 09:46:16 +03:00
Gabriel Nascarella ee9449c504 Depthmap tutorial: add reference to class documentation and explain parameter usage 2023-05-05 09:31:50 +03:00
Alexander Smorkalov 25c28c5da4 Merge pull request #23485 from zihaomu:add_onnx_where
DNN: add ONNX where node support
2023-05-05 09:21:07 +03:00
zihaomu 0513741a85 add broadcast where node 2023-05-05 11:16:19 +08:00
Alexander Smorkalov 351589e5fb Merge pull request #23491 from fengyuentau:patch_for_segment_anything
Fixes for Segment Anything
2023-05-04 21:07:58 +03:00
Alexander Smorkalov dabf960b32 Merge pull request #22700 from kallaballa:capture_backened_debug_msg
log a debug message if a capture backend is generally available but isn't capabable of a capture mode
2023-05-04 20:33:36 +03:00
kallaballa a2be9e9fc1 Log a debug message if a capture backend is generally available but isn't capabable of a capture mode. 2023-05-04 19:18:58 +03:00
Alexander Smorkalov 6160104fd7 Merge pull request #23153 from stefan523:ChArUco_pre460_pattern_support
ChArUco pre460 pattern support
2023-05-04 18:30:40 +03:00
Stefan Becker e55784a1e8 ChArUco pre460 pattern support 2023-05-04 16:59:04 +03:00
n0099 868787c364 Merge pull request #23342 from n0099:#23335
Improve document of cv::RotatedRect for #23335 #23342

fix #23335

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-03 14:15:53 +03:00
Sean McBride 27e10efa66 Use std::atomic<bool> as it's necessary for correct thread safety
Now that C++11 is required, we can unconditionally use std::atomic in this case, which is more correct.
2023-05-01 16:44:34 -04:00
Alexander Alekhin 3c76b33532 Merge pull request #22614 from zihaomu:add_std2DB_API 2023-05-01 19:37:23 +00:00
Alexander Smorkalov 685a47b2e2 Merge pull request #23565 from MaximSmolskiy:fix-function-name-in-comment
Fix function name in comment
2023-05-01 11:13:15 +03:00
Maxim Smolskiy 658f18c713 Fix function name in comment 2023-04-30 17:30:01 +03:00
zihaomu 8be93a6de7 add scale factor to DB demo. 2023-04-30 22:03:21 +08:00
Pierre Chatelier 6dd8a9b6ad Merge pull request #13879 from chacha21:REDUCE_SUM2
add REDUCE_SUM2 #13879 

proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements
2023-04-28 20:42:52 +03:00
Laurent Berger 23b819efb8 Merge pull request #23555 from LaurentBerger:doc_format
don't ignore documentation for cv::format in doxygen #23555 

Issue https://github.com/opencv/opencv/issues/23553

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work issue
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-28 15:24:07 +03:00
Alexander Smorkalov 9161e40aa0 Merge pull request #23529 from dmatveev:dm/gapi_onnx_rt_1.14.1
Bump supported ONNX RT version to 1.14.1
2023-04-28 15:19:06 +03:00
Onuralp Sezer 5ccb4e0487 Merge pull request #23447 from onuralpszr:gradle80_namespace
AGP 8.0 build.gradle namespace and aidl buildFeature requirement added #23447 

Hello,

Android Gradle Plugin version 8.0 is asking for namespace. This is become mandatory and after I update my AGP to 8.0, I got this error 


```
Namespace not specified. Please specify a namespace in the module's build.gradle file like so:

android {
    namespace 'com.example.namespace'
}

If the package attribute is specified in the source AndroidManifest.xml, it can be migrated automatically to the namespace value in the build.gradle file using the AGP Upgrade Assistant; please refer to https://developer.android.com/studio/build/agp-upgrade-assistant for more information.
```

This change fix this future releases. However I am not sure how opencv wants to user namespace I used "org.opencv" if there is a different namespace please let me know so I can changed that too. Also should I add namepsace into "opencv/modules/java/android_sdk/android_gradle_lib/build.gradle" here ?

### Sources

Android developer link: https://developer.android.com/studio/preview/features#namespace-dsl
Issue Tracker Google: https://issuetracker.google.com/issues/191813691?pli=1#comment19

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-28 13:41:39 +03:00
Alexander Smorkalov 6dbc5e032f Merge pull request #23545 from Abdurrahheem:tests_lstm_init_no_hidden_states
Added test for LSTM without hidden state initialisation
2023-04-27 16:27:42 +03:00
Alexander Smorkalov af1c63c0a0 Merge pull request #23138 from AleksandrPanov:aruco_fix_matchImagePoints
fix charuco matchImagePoints
2023-04-27 13:55:46 +03:00
Alex 4ba06c3ed0 fix charuco matchImagePoints 2023-04-27 12:05:09 +03:00
Alexander Alekhin 46e2b67ecb Merge pull request #23502 from seanm:sprintf3 2023-04-26 19:40:14 +00:00
Sean McBride 58e4a880a2 Deprecated convertTypeStr and made new variant that also takes the buffer size
This allows removing the unsafe sprintf.
2023-04-26 09:48:15 -04:00
Avasam df99e4e88d Merge pull request #23538 from Avasam:patch-1
Fixed a typo in `documentation.yml` and `feature_request.yml` #23538

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- N/A There is a reference to the original bug report and related work
- N/A There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- N/A The feature is well documented and sample code can be built with the project CMake
2023-04-26 12:28:13 +03:00
Vladimir Ponomarev a174a6c0b5 Merge pull request #23486 from vovka643:4.x_calibration_with_aruco
Add charuco pattern into calibration.cpp #23486

Added charuco pattern into calibration.cpp. Added charuco pattern with predefined aruco dictionary and with dictionary from file.

### Pull Request Readiness Checklist

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

- [х] I agree to contribute to the project under Apache 2 License.
- [х] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [х] The PR is proposed to the proper branch
- [х] There is a reference to the original bug report and related work
- [х] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [х] The feature is well documented and sample code can be built with the project CMake
2023-04-26 12:13:16 +03:00
Alexander Alekhin d4f29a6361 Merge pull request #23541 from cudawarped:fix_3474 2023-04-25 21:58:54 +00:00
Abduragim Shtanchaev 3b1ee0549b added test for lstm without hidden
states initialization
2023-04-25 16:01:13 +03:00
cudawarped 871f931e95 VideoCapture: apply bitstream filter to all h264/5 raw streams 2023-04-25 13:52:28 +03:00
Alexander Smorkalov e3e1f704a4 Merge pull request #23528 from WanliZhong:issue23278
DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda
2023-04-24 19:31:55 +03:00
Alexander Smorkalov d19a05734e Merge pull request #23535 from komakai:fix_ocl_device_isintel
Fix ocl::device::isIntel implementation
2023-04-24 18:55:04 +03:00
Giles Payne 38e35d5137 Fix ocl::device::isIntel implementation 2023-04-24 22:01:53 +09:00
Dmitry Kurtaev aa57833ad5 Merge pull request #23409 from dkurt:dnn_tflite_quant
Import and inference INT8 quantized TFLite model #23409

### Pull Request Readiness Checklist

* Support quantized TFLite models
* Enable fused activations (FP32, INT8)

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1048

![res](https://user-images.githubusercontent.com/25801568/231433201-566b4bd6-ccff-462c-9e74-adbdcdf3648b.png)

on the image, green boxes are from TFLite and red boxes from OpenCV

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-24 13:44:10 +03:00
Abduragim Shtanchaev e4e774d42b Merge pull request #23475 from Abdurrahheem:lstm_fix_initialization
Fix ONNX parser for single-layer LSTM hidden and cell states #23475

### Fix ONNX parser for single-layer LSTM hidden and cell states

### Pull Request Readiness Checklist

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

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


This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states.
2023-04-24 13:39:41 +03:00
WU Jia 89c5a7584a Merge pull request #23531 from kaingwade:orbbec_python_sample
Add python sample of how to use Orbbec camera. #23531

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-24 12:12:01 +03:00
Alexander Smorkalov a4a9f56c8b Merge pull request #23513 from komakai:fix_unrecognized_selector
Fix "unrecognized selector" issue in Objective-C/Swift bindings
2023-04-24 11:29:41 +03:00
wanli e4360294c5 make 'abcd op 1b11' broadcast support cuda 2023-04-23 17:46:50 +08:00
Dmitry Matveev 1d02146810 Bump supported ONNX RT version to 1.14.1
- Existing tests pass with the ONNX models mentioned in tests.
2023-04-22 20:15:40 +00:00
Alexander Alekhin 9ab0ff6cf2 Merge pull request #23511 from zihaomu:issue_23465 2023-04-22 04:01:26 +00:00
Zihao Mu 601778e0e6 Merge pull request #22750 from zihaomu:improve_blobFromImage
DNN: Add New API blobFromImageParam #22750

The purpose of this PR:

1. Add new API `blobFromImageParam` to extend `blobFromImage` API. It can support the different data layout (NCHW or NHWC), and letter_box.
2. ~~`blobFromImage` can output `CV_16F`~~

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-21 19:10:17 +03:00
Alexander Smorkalov 810096c276 Merge pull request #23499 from cabelo:yolov4-tiny
ADD weights  yolov4-tiny in models.yml
2023-04-21 15:26:19 +03:00
Alexander Smorkalov e4a29d93fe Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-04-21 10:55:04 +03:00
zihaomu 54e1a8709d fix the bug, disable the fast1x1 when padding is not 0. 2023-04-21 10:55:07 +08:00
Alexander Smorkalov 4c06a721ef Merge pull request #23503 from seanm:issue13729
Fixed undefined left shifting of negative number
2023-04-20 12:10:04 +03:00
Alexander Smorkalov 3113b49159 Merge pull request #23495 from smeng9:4.x
Fix aruco module CORNER_REFINE_CONTOUR parameter gets skipped
2023-04-20 12:02:43 +03:00
Yuantao Feng 3c1fcd5deb Merge pull request #23401 from fengyuentau:fix_cann_layer_support
dnn: Support more operators in CANN backend #23401

This PR adds the support of following layers:

- [x] Sub
- [x] PRelu
- [x] DeConv
- [x] Also warn users if backend is switched back to default if some of the layers are not supported.
- [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-20 10:18:35 +03:00
Abduragim Shtanchaev b3a2444bcf Merge pull request #23501 from Abdurrahheem:additional_lstm_tests
Added LSTM and GRU tests for various batch and input length sizes #23501

Added tests with various sequence length and batch sizes
Test data: https://github.com/opencv/opencv_extra/pull/1057

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-20 10:11:33 +03:00
Alexander Smorkalov 277d64af88 Merge pull request #23518 from mshabunin:security-update
Updated PGP key for security reports
2023-04-20 09:45:51 +03:00
Maksim Shabunin 7bd9dae53d Updated PGP key for security reports 2023-04-19 19:16:55 +03:00
Jindřich Šaršon a33b2bed52 updated mac catalyst target to be compatible with latest xCode / macos 2023-04-19 14:34:52 +02:00
Alexander Smorkalov b0eddeba2d Merge pull request #23506 from MvWouden:patch-1
Fix typos in aruco_detector.hpp
2023-04-18 17:50:55 +03:00
Giles Payne cfa5a270d3 Refactor Mat Converters and Mat QuickLook functionality to avoid "unrecognized selector" error 2023-04-18 21:09:55 +09:00
Milan van Wouden a7c6fedebd Fix typos in aruco_detector.hpp
"corresponging" -> "corresponding"
"Refind" -> "Refine"
2023-04-18 14:00:21 +02:00
Alexander Smorkalov b68aa12572 Merge pull request #23375 from mshabunin:fix-v4l-verify
cmake: fix V4L config verification conflict with OBSENSOR
2023-04-18 13:05:04 +03:00
Sean McBride 47bea69322 Merge pull request #23055 from seanm:sprintf2
* Replaced most remaining sprintf with snprintf
* Deprecated encodeFormat and introduced new method that takes the buffer length
* Also increased buffer size at call sites to be a little bigger, in case int is 64 bit
2023-04-18 09:22:59 +03:00
Sean McBride aa2fabcba5 Fixed undefined left shifting of negative number
Added explicit cast to unsigned before doing the left shift.

This was caught by UBSan which reported things like:

drawing.cpp:361:22: runtime error: left shift of negative value -26214
drawing.cpp:383:22: runtime error: left shift of negative value -78642
2023-04-17 15:39:37 -04:00
keith siilats 8512deb3cc Merge pull request #23436 from siilats:patch-2
Fix python bindings for setCharucoParameters #23436

setCharucoParameters fails in python
Fixes: https://github.com/opencv/opencv/issues/23440

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-17 13:02:27 +03:00
Alessandro de Oliveira Faria (A.K.A. CABELO) 7867da47cf ADD weights yolov4-tiny in models.yml 2023-04-17 02:55:56 -03:00
smeng9 a788cc526b Fix skipped corner refinment branching logic 2023-04-15 20:48:05 +08:00
Alexander Smorkalov aa17f881b1 Merge pull request #23482 from zihaomu:onnx_opset13_split
DNN: support the split node of onnx opset >= 13
2023-04-14 11:59:57 +03:00
fengyuentau 4f99e5ab37 allow null constant_value in Pad and ignore it when loading 2023-04-14 16:50:16 +08:00
fengyuentau 88cacd35c5 support broadcast on axis > 1 for Expand 2023-04-14 15:52:27 +08:00
Alexander Smorkalov 61d255887c Merge pull request #23487 from Gaotianhong:4.x
fix warning in pointPolygonTest
2023-04-13 13:52:43 +03:00
Gaotianhong f1dbc7d724 fix warning in pointPolygonTest 2023-04-13 13:13:27 +08:00
Alexander Alekhin 24387c25db Merge pull request #23484 from AleksandrPanov:fix_warnings_quirc 2023-04-12 17:47:36 +00:00
Alex 1a5820aa01 fix_warnings_quirc 2023-04-12 11:38:53 +03:00
thewoz 097891e311 Merge pull request #23394 from thewoz:Cocoa-Scroll-Wheel
Add scrollWheel to Cocoa #23394

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-12 10:32:46 +03:00
Alexander Smorkalov 1af084cb65 Merge pull request #23477 from TolyaTalamanov:at/handle-multimeta-giebackend
[G-API] Handle meta from multiple inputs in IE backend
2023-04-12 10:17:59 +03:00
Alexander Smorkalov 136121f6ee Merge pull request #22660 from zhouzq-thu:4.x
Fix objectness is not assigned in dnn::region_layer
2023-04-12 09:34:58 +03:00
Alexander Smorkalov ebde9a5e6d Merge pull request #22245 from rprasanth:4.x
#21804 Add opencv_gapi as dep to samples/cpp
2023-04-11 13:56:20 +03:00
TolyaTalamanov 66abbf4122 Compilation fix 2023-04-11 10:33:42 +00:00
TolyaTalamanov 0f984ea0f0 Handle const inputs descs in giebackend 2023-04-11 10:25:52 +00:00
Alexander Smorkalov 3f02c9d5b9 Merge pull request #23310 from hanliutong:fix_hal_compatibility
Fix HAL compatibility layer
2023-04-11 12:43:54 +03:00
Yuantao Feng 4f77434da1 Merge pull request #23476 from fengyuentau:add_note_for_yunet
Add notes for the output format of FaceDetectorYN.detect()

Resolves https://github.com/opencv/opencv/pull/23020#issuecomment-1499010015

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-11 12:39:21 +03:00
zihaomu 51281f8d69 support the split node of onnx opset >= 13 2023-04-11 16:18:50 +08:00
Kumataro d2dbaa4cd1 Merge pull request #23433 from Kumataro:4.x-fix23416
imgcodecs: tiff: Support to encode for CV_32S with compression params

Fix https://github.com/opencv/opencv/issues/23416

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-11 10:50:47 +03:00
souch 88a7e8cdf5 Merge pull request #23417 from souch:souch-fix-parallel-backend-example
fix cmakelists of parallel backend example
closes https://github.com/opencv/opencv/issues/23376
2023-04-11 10:14:55 +03:00
Alexander Alekhin f9ce3f4b91 Merge pull request #23469 from gottagofaster236:use_nv12_for_obs_camera 2023-04-10 13:39:15 +00:00
Alexander Alekhin daf9de7463 Merge pull request #23383 from mshabunin:rvv-scalable-gcc 2023-04-10 13:35:43 +00:00
TolyaTalamanov 8a95f4f0e6 Handle meta for multiple infer inputs 2023-04-10 09:54:26 +00:00
gottagofaster236 d30830d0a6 Use NV12 instead of YUY2 for OBS Virtual Camera. 2023-04-09 01:56:03 +02:00
Alexander Smorkalov f5a92cb43f Merge pull request #22889 from D-Alex:patch-1
core: improve doc for setNumThreads
2023-04-07 16:37:40 +03:00
Alexander Smorkalov 3bcc3e70f1 Extended setNumThreads documentation according to code review. 2023-04-07 13:56:57 +03:00
eplankin fd8b346c3e Merge pull request #23443 from eplankin:3.4
* Update IPPICV binaries (20230330)

* Revert "core(IPP): disable some ippsMagnitude_32f calls"

This reverts commit 8069a6b4f8.

* Reverted changes in norm() and count_non_zero()
2023-04-07 09:14:42 +00:00
Alexander Smorkalov 4c2584d729 Merge pull request #23468 from migdall:migdall-issue-add-is-easier-pyintro-markdown
Python tutorial intro small grammar update
2023-04-07 11:17:33 +03:00
Jesus Noland 72c715ff4f Add is after it to fix grammar mistake 2023-04-06 12:42:15 -07:00
Alexander Smorkalov ce01123db2 Merge pull request #23020 from Wwupup:yunetv2
upgrade FaceDetectorYN to v2
2023-04-06 15:47:19 +03:00
Yuantao Feng 3a83a35ab0 Merge pull request #23296 from fengyuentau:fix_identifying_constant
Fix identifying initializers in ONNX graph simplification #23296

Fixes https://github.com/opencv/opencv/issues/23295

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-06 15:35:31 +03:00
tantei3 8336a96cb9 Merge pull request #23446 from tantei3:bmp_fix
**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1050

For 32 bits per pixel with 3 or 4 channel destination images, apply scale factor and mask to parse BMP files correctly

closes #23445 

### Pull Request Readiness Checklist
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-04-06 14:34:36 +03:00
Laurent Berger 9742c73254 Merge pull request #23442 from LaurentBerger:tuto_findFile
Fix image loading in tutorials code #23442

Fixes https://github.com/opencv/opencv/issues/23378

### Pull Request Readiness Checklist

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

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-04-06 13:02:00 +03:00
Alexander Alekhin 793c966c40 Merge pull request #23460 from gottagofaster236:fix_obs_virtual_camera 2023-04-06 08:48:27 +00:00
Alexander Smorkalov dafd9e3408 Merge pull request #23444 from opencv:AnnaPetrovicheva-add-funding-button
Create FUNDING.yml
2023-04-06 10:59:30 +03:00
Maksim Shabunin b12c14514a RISC-V: allow building scalable RVV support with GCC, LLVM 16 support 2023-04-05 14:18:58 +03:00
gottagofaster236 b4e3359448 Fix OBS Virtual Camera capture. 2023-04-05 08:04:35 +02:00
Alexander Smorkalov bac7180e02 Merge pull request #23449 from Zwyx:fix-mat-zeros-rows-cols
Switch `rows` and `cols` in call to Mat.zeros
2023-04-04 11:11:22 +03:00
Alexander Smorkalov 2b32eee3f4 Merge pull request #23451 from Zero2key:4.x
add opencv.js imread function can use OffscreenCanvas
2023-04-04 11:05:53 +03:00
Alexander Smorkalov 51f5ee6f19 Merge pull request #23448 from dmatveev:dm/gapi_fix_standalone_47
G-API: Fix compilation error in Standalone mode
2023-04-03 14:21:31 +03:00
Alexander Smorkalov 66a5ecb7ec Merge pull request #23350 from spikethehobbitmage:4.x
Fix reference counting errors in registerNewType
2023-04-03 14:08:32 +03:00
Zero2key 4e050e85ad add opencv.js imread function can use OffscreenCanvas 2023-04-03 10:33:20 +08:00
Zwyx b34fc422a2 Switch rows and cols in call to Mat.zeros
The correct order is rows then cols:
https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html#a56daa006391a670e9cb0cd08e3168c99
2023-04-02 23:00:21 +08:00
Dmitry Matveev 3871984028 G-API: Fix compilation error in Standalone mode
- Point3f was added to type traits but was missing in the "own" package; fixed.
2023-04-02 17:52:53 +03:00
Alexander Smorkalov 3ac06bf063 Merge pull request #23418 from mshabunin:fix-rvv-07-old
RISC-V: fix hardcoded options in RVV 0.7.1 toolchain file
2023-04-02 12:44:48 +03:00
Alexander Smorkalov 20eee64426 Merge pull request #23390 from just-gull:bugfix.21401.fix-macos-crash-when-keypress-does-nothing
check keydown event characters length on macos
2023-04-02 12:29:55 +03:00
Alexander Smorkalov 85a04185d3 Merge pull request #23410 from Kumataro:3.4-fix23397-step1
imgcodecs: update documentation for imwrite() to support images formats.
2023-04-02 12:06:00 +03:00
Alexander Smorkalov 57460b1e30 Merge pull request #23321 from a-sajjad72:patch-1
fix "ImportError: DLL load failed while importing cv2" while installing from pre-built binaries
2023-04-02 12:00:35 +03:00
Alexander Smorkalov d8c80ff5a4 Merge pull request #23419 from dkurt:onnx_fixes
Several fixes for ONNX importer: Expand, Gather
2023-04-02 11:40:56 +03:00
Sajjad Ali 26ca124150 fix "ImportError: DLL load failed while importing cv2" while installing using pre-built binaries 2023-04-02 10:22:04 +03:00
Anna Petrovicheva 6d93a0e42c Update FUNDING.yml 2023-04-01 18:13:40 +03:00
Anna Petrovicheva 3f7d319fff Create FUNDING.yml 2023-04-01 17:47:40 +03:00
Alexander Smorkalov 3cf367c9c4 Merge pull request #23271 from stefan523:aruco_testcase_fixes
Aruco/Charuco test case fixes for floating point for loops
2023-03-30 11:22:14 +03:00
Alex c643af0b85 fix test 2023-03-29 15:29:56 +03:00
Dmitry Kurtaev 5e1d33329b Several fixes for ONNX importer: Expand, Gather 2023-03-27 22:15:26 +03:00
Maksim Shabunin 9cfced4650 RISC-V: fix hardcoded options in RVV 0.7.1 toolchain file 2023-03-27 18:42:56 +03:00
HAN Liutong a809ae4e88 Fix HAL compatibility layer and modify use cases. 2023-03-27 21:30:47 +08:00
Kumataro 1c6c3dfa8d remove tail whitespace 2023-03-26 18:33:54 +09:00
Kumataro 83a49b4f6a imgcodecs: update documentation for imwrite() to support images formats. 2023-03-26 09:03:16 +09:00
Alexander Smorkalov 352f92e437 Merge pull request #23402 from LaurentBerger:I23400
Typo in enum cv::QuatEnum::EulerAnglesType
2023-03-24 18:11:48 +03:00
Alexander Smorkalov f5fd3e7d65 Merge pull request #23367 from LaurentBerger:msmf_doc
Note for MSMF in doc
2023-03-24 17:16:52 +03:00
unknown ee302b063f Typo in enum cv::QuatEnum::EulerAnglesType 2023-03-24 14:03:14 +01:00
Alexander Smorkalov d7dd014a6e Merge pull request #23399 from AleksandrPanov:aruco_fix_board
Fix create aruco Board in Python
2023-03-24 15:38:53 +03:00
Alexander Smorkalov b56a52c49b Merge pull request #22471 from anna-khakimova:ak/fix_resize4lpi_tests
Increasing tolerance for Preproc4lpiTest set on ARM
2023-03-24 15:31:48 +03:00
Anna Khakimova 0bb84096a2 Fix tolerance for Preproc4lpiTest set 2023-03-24 14:20:22 +03:00
Alexander Smorkalov 36a03dbdbf Merge pull request #23307 from alalek:simd_comparison_fix_misused_64f_guard
core(simd): 64-bit integer EQ/NE without misused 64F guard
2023-03-24 12:46:18 +03:00
Alex 02bdc10062 fix assert, add test 2023-03-24 11:52:05 +03:00
Alexander Smorkalov d3cc507380 Added reference to Media Foundation. 2023-03-23 16:58:22 +03:00
Alexander Smorkalov 1af790ecc3 Merge pull request #23388 from simonlynen:patch-2
Make LineSegmentDetector deterministic by using stable_sort
2023-03-23 16:18:29 +03:00
Alexander Smorkalov 8c64adb000 Merge pull request #23019 from tkram01:sampleIdxFix
Fix for using sampleIdx to limit training data
2023-03-22 11:59:34 +03:00
Sergey Petrenko 6ffe686ba8 check keydown event characters length before returning the pressed character code 2023-03-22 10:24:22 +03:00
Alexander Smorkalov a94cd6d6e8 Merge pull request #23381 from ct2034:fix/typo
two typos
2023-03-22 09:53:37 +03:00
tkram01 ea7efd57d8 Fix for using sampleIdx to limit training data 2023-03-22 09:50:58 +03:00
Christian Henkel c9e42c5050 two typos 2023-03-22 09:17:41 +03:00
Simon Lynen 6033599c88 Make LineSegmentDetector deterministic by using stable_sort for ordering keypoints prior to region growing
This makes LineSegmentDetector deterministic by using stable_sort for ordering points by norm. Without this change the region growing in LSD is non-determinstic and thus the returned lines are changing between invocations.

This is a replacement for https://github.com/opencv/opencv/pull/23370
2023-03-22 04:12:51 +01:00
Alexander Smorkalov a924bbfc30 Merge pull request #23386 from asmorkalov:issue23147
Python tutorial links update
2023-03-21 17:34:39 +03:00
Alexander Smorkalov 0d2f21b51e Merge pull request #23380 from Zero-nnkn:pose_doc
Fix error of `POSE_PAIRS` in pose estimation doc
2023-03-21 15:58:45 +03:00
Alexander Smorkalov 5c5ef9746c Presume original book, update references. 2023-03-21 15:32:21 +03:00
Raj Kachhadiya 42793e16dd Update py_intro.markdown 2023-03-21 15:27:14 +03:00
Alexander Smorkalov a4ff46aab7 Merge pull request #23250 from tintou:./tintou/glib-req
highgui: Set hard GLib requirement to >=2.32
2023-03-21 15:22:34 +03:00
Alexander Smorkalov e6bd4c9f85 Merge pull request #23275 from genciberisha:bug/issue-23249_detected_but_not_decoded_bug
Added QR_Code data flip support, flip and retry after first ECC failure
2023-03-21 15:03:30 +03:00
Alexander Smorkalov 0d082ce6fd Merge pull request #23344 from anderskiaer:singlefilejs
Add possibility for disabling inlining `wasm` in `opencv.js`
2023-03-21 15:01:52 +03:00
Dmitry Kurtaev 5df6b4a756 Merge pull request #23325 from dkurt:dnn_input_info
Propagate inputs info for ONNX and TFLite models

### Pull Request Readiness Checklist

Needed for generic applications such as benchmarking pipelines. So OpenCV can tell about the default input shapes specified in the models.

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-21 14:50:53 +03:00
Zero-nnkn 8483f2ef2f Fix error of POSE_PAIRS in pose estimation doc 2023-03-21 14:37:45 +03:00
ippei.i a60408cda5 Merge pull request #23300 from ippei-i:CAP_PROP_AUTO_WB-and-CAP_PROP_WHITE_BALANCE_BLUE_U_support_in_CAP_DSHOW
Support VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow

### Pull Request Readiness Checklist

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

- [OK] I agree to contribute to the project under Apache 2 License.
- [OK] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [OK] The PR is proposed to the proper branch
- [OK] There is a reference to the original bug report and related work
https://github.com/opencv/opencv/issues/19621
https://github.com/opencv/opencv/issues/21408

### Before apply this pull request console output.

before AWB setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

after AWB disable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

after AWB enable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

after Manual WB(and Disable AWB) setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: -1

### After apply this pull request console output.

before AWB setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: 0

after AWB disable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 4000
CAP_PROP_AUTO_WB: 0

after AWB enable setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 4000
CAP_PROP_AUTO_WB: 1

after Manual WB(and Disable AWB) setting
CAP_PROP_WHITE_BALANCE_BLUE_U: 2000
CAP_PROP_AUTO_WB: 0

### Test Code
[OpenCvVideoCapTest.zip](https://github.com/opencv/opencv/files/10825399/OpenCvVideoCapTest.zip)
2023-03-21 14:29:24 +03:00
Alexander Smorkalov 68926d595c Merge pull request #23377 from LaurentBerger:findsample
use findFile in opengl.cpp sample
2023-03-21 12:58:58 +03:00
Wwupup da3a4dcbc1 upgrade FaceDetectorYN to v2 2023-03-21 12:41:02 +08:00
unknown abfa5c586a use findFile in opengl.cpp sample 2023-03-20 15:44:14 +01:00
Genci Berisha a1b4aa5e88 Added QR_Code data flip support, flip and retry after first EEC failure
Added regression test for the flipped images
2023-03-20 14:26:11 +01:00
Labib Asari c4226f0457 Merge pull request #23196 from labeeb-7z:printOptionInRoiSelector
Added argument to print notice in `roiSelector.cpp`

Related Issue : https://github.com/opencv/opencv/issues/23175

I've added a printNotice argument to `selectROI` (and it's overload) and `selectROIs` functions.
I've also updated the function declarations in `highgui.hpp`.
Tested by building locally.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-20 10:06:57 +03:00
Maksim Shabunin aef1fc087d cmake: fix V4L config verification conflict with OBSENSOR 2023-03-19 10:58:47 +03:00
Alexander Smorkalov 752ac19a2f Merge pull request #23292 from CSBVision:patch-4
Add ENABLE_DELAYLOAD option
2023-03-17 16:53:39 +03:00
unknown a2e04718ec te for MSMF in doc 2023-03-17 13:36:47 +01:00
Alexander Smorkalov 94b3bad3c9 Merge pull request #23356 from TuNanTang:OptimizeFixFitEllipseSample
Optimize&Fix fitEllipse sample
2023-03-17 13:02:14 +03:00
Alexander Smorkalov 2e927c2dbd Merge pull request #23358 from Abdurrahheem:fix_doc_dnn_custom_layers
Minor grammatical fixes to dnn_custom_layers doc file
2023-03-17 12:59:38 +03:00
Abduragim 69fd82fc46 minor grammatical fixes to dnn_custom_layers.md 2023-03-17 10:03:49 +03:00
TuNanTang 68e2df56e7 Optimize&Fix fitEllipse sample
Optimize&Fix fitEllipse sample
2023-03-15 21:30:26 +08:00
Alexander Smorkalov 86fa0308fc Merge pull request #23139 from AleksandrPanov:add_py_charuco_sample
add python charuco sample
2023-03-15 13:22:11 +03:00
Alex 0d455e05c1 add py charuco sample+choriginal.jpg+camera_params 2023-03-15 11:27:55 +03:00
Alexander Smorkalov 924a65413a Merge pull request #23357 from zihaomu:fix_winograd_error_32bit
DNN : fix bug in 32 bit cpu
2023-03-15 11:24:54 +03:00
zihaomu 6bac5453d1 fix bug in 32 bit cpu 2023-03-15 08:24:55 +08:00
Alexander Smorkalov ccbc784195 Merge pull request #23354 from zihaomu:issue_23351
DNN : fix bug in layer fusion
2023-03-14 17:23:25 +03:00
TuNanTang 56a4877e30 Merge pull request #23341 from TuNanTang:3.4
### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-03-14 16:09:53 +03:00
Vladimir Ponomarev b204c39815 Merge pull request #23276 from vovka643:flann_corrections
Fixed potential memory leak in flann

Issue #22426

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-14 15:00:44 +03:00
Alexander Smorkalov bb917c8391 Merge pull request #23353 from tingboliao:4.x
Fix bugs of test case failure
2023-03-14 14:42:59 +03:00
zihaomu 386be97ce2 fix bug in layer fusion 2023-03-14 19:06:06 +08:00
tingbo.liao 7d032de7e8 Fix bugs of test case failure
4 failed tests in open_test_dnn listed below:
* Test_Caffe_layers.Conv_Elu/0, where GetParam() = OCV/CPU
* Test_ONNX_layers.ConvResizePool1d/0, where GetParam() = OCV/CPU
* Test_TensorFlow_layers.tf_reshape_nhwc/0, where GetParam() = OCV/CPU
* Test_Torch_layers.net_inception_block/0, where GetParam() = OCV/CPU

In winofunc_AtXA_8x8_f32 and winofunc_BtXB_8x8_f32
implementation, incorrect input parameters cause tests failure.

Add four new different variables for the last four input parameters of
v_transpose4x4 to fix bugs, and update related comments.

Signed-off-by: tingbo.liao <tingbo.liao@starfivetech.com>
2023-03-14 17:05:19 +08:00
Alexander Smorkalov de2f7666fb Merge pull request #23260 from tintou:tintou/gtk-reduce-diff
highgui: Reduce the difference between GTK+2 and GTK+3 version
2023-03-14 09:11:53 +03:00
Spike 95f087cd0b Fix reference counting errors in registerNewType 2023-03-13 23:22:57 -06:00
Alexander Smorkalov 22a52766dc Merge pull request #23343 from zihaomu:fix_test_onnx_conf
DNN Test ONNX: Fix the logic of the test case
2023-03-13 21:48:41 +03:00
Yuantao Feng b94e13c8ae Merge pull request #23319 from fengyuentau:fix_zoo_issue_136
Related issue: https://github.com/opencv/opencv_zoo/issues/136

Features added:

- Support operators with multiple output: ONNX Split.
- Support Slice without steps.

Bugs fixed:

- Wrong settings in ClipByValue (Relu6).
- Wrong calculation of pads in convolution layer (It is wrong generally but only fixed specifically for CANN for now).

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-03-13 21:46:33 +03:00
zihaomu ee3740af00 move global skip out of if loop, and add opencv_deny_list 2023-03-13 22:16:51 +08:00
Alexander Smorkalov 9f2182abbb Merge pull request #23261 from vovka643:3.4
Remove separator between trackbars.
2023-03-13 13:51:56 +03:00
anderskiaer 6c763e1ea5 Add possibility for disabling inlining wasm in opencv.js 2023-03-11 21:03:18 +01:00
Zihao Mu e03e2e7f94 Merge pull request #23192 from zihaomu:clean_up_SIMD_code
### Purpose of this PR:
- Move all dispatch and SIMD code of `convolution layer` into `simd.hpp` file.
- Support Winograd at AVX-only machine.
- Re-name the folder from `fast_conv` to `cpu_kernels`. In the future, we can put other layers of CPU optimization into it, like `GEMM` or `MatMul`.

## Performance Test
Since this patch just focuses on the code style, the performance is expected as the same as before.
Test with the following script: 
`./bin/opencv_perf_dnn '--gtest_filter=*conv*' --gtest_output="xml:../1-0th.xml" --perf_threads=1`

### Test on X86 platform
Min (ms)
|Name of Test|4.x | patch | 4.x vs patch (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.98|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.95|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.97|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.002|1.04|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.002|0.002|0.94|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.040|0.044|0.93|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.010|0.010|1.00|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.106|0.103|1.03|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.041|0.040|1.03|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.340|0.329|1.03|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.590|0.567|1.04|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.374|1.314|1.05|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.715|3.528|1.05|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.181|1.166|1.01|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.689|2.587|1.04|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.754|4.500|1.06|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.612|9.112|1.05|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.000|64.676|1.07|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|20.248|18.451|1.10|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.395|1.392|1.00|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|1.990|1.984|1.00|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.393|1.360|1.02|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.813|1.744|1.04|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.190|1.191|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.286|1.284|1.00|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.295|2.279|1.01|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.322|1.331|0.99|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.784|3.533|1.07|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.838|1.844|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.957|1.959|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.596|2.573|1.01|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.183|4.083|1.02|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.413|2.406|1.00|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.538|2.546|1.00|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.972|2.980|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.452|3.464|1.00|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.082|3.105|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.043|3.919|1.03|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.538|5.531|1.00|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.393|3.418|0.99|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.325|4.234|1.02|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.009|5.908|1.02|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.557|6.376|1.03|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|10.114|9.472|1.07|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.373|9.879|1.05|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.782|11.624|1.10|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|90.931|90.552|1.00|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|6.091|5.818|1.05|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|7.083|6.643|1.07|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.054|5.059|1.00|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|5.005|4.931|1.02|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.951|5.065|0.98|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.957|11.293|1.06|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.328|5.250|1.01|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.544|5.292|1.05|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.186|5.893|1.05|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|6.153|5.834|1.05|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.154|8.107|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.699|12.256|1.04|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|11.355|11.217|1.01|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.062|17.814|1.07|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.820|6.531|1.04|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.502|13.483|1.08|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.270|6.123|1.02|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|13.173|12.451|1.06|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.326|7.652|1.09|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.605|16.465|1.07|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.675|14.771|1.06|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.420|0.423|0.99|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.788|6.491|1.05|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.456|6.168|1.05|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.263|0.261|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.690|7.398|1.04|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.200|0.202|0.99|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.542|10.464|1.01|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.876|10.728|1.01|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.194|6.768|1.06|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|7.099|6.731|1.05|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.147|0.162|0.91|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|18.558|17.141|1.08|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.641|7.219|1.06|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.666|20.999|1.08|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.523|7.921|1.08|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.514|8.109|1.05|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.300|7.878|1.05|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.403|13.131|1.02|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.920|8.357|1.07|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|28.827|27.616|1.04|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|12.895|12.670|1.02|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.120|13.078|1.08|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.541|27.582|1.00|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.367|31.140|1.04|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.934|14.910|1.00|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.289|18.491|0.99|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|37.857|36.845|1.03|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.402|36.566|1.02|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.031|19.164|0.99|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.019|19.135|0.99|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.077|19.400|1.03|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.883|21.302|1.03|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.288|49.851|1.03|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|27.349|28.359|0.96|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|24.915|25.130|0.99|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.488|25.899|0.98|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.346|27.390|1.00|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.033|28.301|0.99|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|50.216|49.970|1.00|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|29.670|29.513|1.01|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|50.565|49.634|1.02|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|37.900|37.814|1.00|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|41.367|39.742|1.04|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|49.128|50.350|0.98|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|79.643|80.645|0.99|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.439|40.895|1.01|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.504|46.220|1.01|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.086|96.842|1.01|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|102.447|97.299|1.05|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|145.047|144.996|1.00|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|206.104|195.543|1.05|


### Test on M1(ARM) platform
|Name of Test|4.x|patch|4.x vs patch (x-factor)|
|---|:-:|:-:|:-:|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.97|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.94|
|conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.92|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.003|0.003|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.031|0.031|1.00|
|conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.009|0.009|1.00|
|conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.066|1.01|
|conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.102|0.102|1.00|
|conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.328|1.00|
|conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.693|0.747|0.93|
|conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.268|1.266|1.00|
|conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.530|3.581|0.99|
|conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.186|1.188|1.00|
|conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.682|2.683|1.00|
|conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.490|4.501|1.00|
|conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.914|8.938|1.00|
|conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.819|69.876|1.00|
|conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|24.058|22.420|1.07|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.240|2.236|1.00|
|conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.132|3.136|1.00|
|conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.920|1.919|1.00|
|conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.343|2.346|1.00|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.234|1.116|1.11|
|conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.109|1.121|0.99|
|conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.197|3.084|1.04|
|conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.123|1.148|0.98|
|conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.836|5.061|0.96|
|conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.535|1.463|1.05|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.756|1.584|1.11|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.821|1.820|1.00|
|conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|7.049|6.672|1.06|
|conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.967|1.922|1.02|
|conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.943|1.977|0.98|
|conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.464|2.310|1.07|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.860|2.904|0.98|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.428|2.483|0.98|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|2.955|2.983|0.99|
|conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.328|4.484|0.97|
|conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.712|2.778|0.98|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.205|3.331|0.96|
|conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|4.193|4.412|0.95|
|conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|5.026|4.565|1.10|
|conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.490|14.213|1.02|
|conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|14.886|14.003|1.06|
|conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.923|15.184|1.05|
|conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|45.136|41.696|1.08|
|conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.995|4.631|1.08|
|conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.402|6.261|1.02|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.478|3.965|1.13|
|conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.908|3.978|0.98|
|conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.176|4.206|0.99|
|conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|21.509|21.136|1.02|
|conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.426|4.082|1.08|
|conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.098|4.289|0.96|
|conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.646|5.105|0.91|
|conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.746|4.724|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|5.614|5.779|0.97|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|21.909|20.718|1.06|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.256|8.290|1.00|
|conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|25.196|23.267|1.08|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.721|5.172|1.11|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.066|18.322|1.10|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.448|4.542|0.98|
|conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.193|19.013|1.01|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|6.009|5.964|1.01|
|conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.169|20.009|1.01|
|conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.584|23.423|0.96|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.372|0.504|0.74|
|conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.426|5.456|0.99|
|conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|4.945|5.221|0.95|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.210|0.261|0.81|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.720|5.997|0.95|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.149|0.161|0.93|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.154|7.225|0.99|
|conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.184|7.223|0.99|
|conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.324|5.343|1.00|
|conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.114|5.238|0.98|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.111|0.121|0.92|
|conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|25.907|26.804|0.97|
|conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.695|5.654|1.01|
|conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.435|27.566|1.00|
|conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.944|6.164|1.13|
|conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|7.180|6.717|1.07|
|conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.817|6.050|1.13|
|conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.225|8.660|1.07|
|conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|7.496|6.625|1.13|
|conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.520|36.056|0.99|
|conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.990|9.702|1.03|
|conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.517|10.746|0.98|
|conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.702|36.731|1.00|
|conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|41.035|38.280|1.07|
|conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.981|10.573|1.04|
|conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.863|12.384|1.04|
|conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.437|54.088|0.93|
|conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|50.650|50.635|1.00|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.696|14.606|1.01|
|conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.201|15.426|1.05|
|conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.061|14.292|1.12|
|conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|17.743|18.250|0.97|
|conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.909|78.165|1.00|
|conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.579|21.879|0.99|
|conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.424|19.589|1.04|
|conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.389|19.461|1.00|
|conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.319|20.358|1.05|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.609|21.826|1.04|
|conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|25.497|25.789|0.99|
|conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.966|22.108|0.99|
|conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|35.883|33.470|1.07|
|conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|31.041|29.314|1.06|
|conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|29.922|28.145|1.06|
|conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|31.624|31.148|1.02|
|conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|38.564|39.164|0.98|
|conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|31.502|30.269|1.04|
|conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|34.248|34.589|0.99|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|130.211|134.120|0.97|
|conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.490|132.874|0.96|
|conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|199.834|200.081|1.00|
|conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|247.346|247.523|1.00|


### Pull Request Readiness Checklist

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

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


```
force_builders=Linux AVX2,Custom Win
build_image:Custom Win=msvs2019
CPU_BASELINE:Custom Win=AVX512_SKX
```
2023-03-10 11:59:49 +03:00
Alexey Shtern c6e5f60525 Merge pull request #23301 from shtern:fix_quaternion
Fixed strict type in slerp and spline; Fixed nlerp usage condition

Fixes #23293

The PR is fixing the issue described in [Issue #23293 ](https://github.com/opencv/opencv/issues/23293)

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-03-10 11:37:43 +03:00
Alexander Smorkalov 29cc675375 Merge pull request #23268 from VadimLevin:dev/vlevin/bindings-io-arg-modifiers-fix
fix: remove extra '/O' modifier for '/IO' arguments
2023-03-10 11:05:03 +03:00
Bhavit Patel 7ea6b356c7 Merge pull request #23305 from bhavitp:fix/calib3d/undistortion_grid
Resolves https://github.com/opencv/opencv/issues/23304

Fixes the incorrect pixel grid
Switches type to double to avoid precision loss as all callers use doubles

### Pull Request Readiness Checklist

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

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-03-10 09:50:36 +03:00
Vincent Rabaud 8ad8ec679f Merge pull request #22441 from vrabaud:hls_while
In case of huge (and probably invalid) input, make sure we do not
rely only on the while loops for truncation.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
2023-03-07 15:05:38 +03:00
Alexander Alekhin 0052d46b8e Merge pull request #23237 from hzcyf:feature/orbbec_femto_mega_support 2023-03-01 07:13:22 +00:00
Corentin Noël a035608100 highgui: Reduce the difference between GTK+2 and GTK+3 version
Make the GTK+3 API the default one by wrapping the missing GTK+2 functions in defines
Make sure to always guard with GTK_VERSION2 or GTK_VERSION3 to allow future addition
of Gtk4
2023-02-28 00:48:39 +01:00
Alexander Alekhin fe59a5695f core(simd): 64-bit integer EQ/NE without misused 64F guard 2023-02-27 19:51:55 +00:00
CSBVision a5f04f9e17 Add ENABLE_DELAYLOAD option 2023-02-23 11:24:33 +01:00
Alexander Alekhin b3c9842a98 Merge pull request #23287 from alalek:dnn_tflite_fix_illegal_access 2023-02-22 10:22:08 +00:00
Alexander Alekhin 9eb5e39ff3 dnn(tflite): fix wrong axis normalization 2023-02-21 21:20:37 +00:00
Alexander Alekhin 5a227352b4 Merge pull request #23274 from alalek:dnn_flatbuffers_builtin 2023-02-21 18:42:49 +00:00
Alexander Alekhin bdff0949bb dnn(tflite): add 3rdparty flatbuffers with pre-generated schema 2023-02-21 16:06:19 +00:00
Alexander Alekhin 4262127854 Merge pull request #23246 from mshabunin:rvv07-support 2023-02-20 18:06:30 +00:00
Vadim Pisarevsky ca48e217f1 fixed another SIFT constructor (#23272) 2023-02-18 00:07:45 +03:00
Vadim Pisarevsky f48939c2d7 temporarily set "enable_precise_upscale=false" by default to avoid sporadic failures in regression tests (#23270) 2023-02-17 18:57:38 +03:00
Stefan Becker 39e2ebbde4 Aruco/Charuco test case fixes for floating point for loops 2023-02-17 16:45:18 +01:00
Maksim Shabunin 903ec0ec60 RISC-V: support RVV 0.7 in mainline RVV intrinsics 2023-02-17 18:17:11 +03:00
Zihao Mu 20dac7ea48 Merge pull request #23255 from zihaomu:fused_cuda_naryeltwise
DNN: fuse conv+naryEletwise on CUDA backend.
2023-02-17 10:18:13 +00:00
Vadim Levin 642942a72f fix: remove extra '/O' modifier for '/IO' arguments 2023-02-17 13:07:28 +03:00
Vaclav Vavra 923dbcc58f different interpolation by double image (#23124)
* different interpolation by double image

* fixing scaling mapping

* fixing a test

* added an option to enable previous interpolation

* added doxygen entries for the new parameter

* ASSERT_TRUE -> ASSERT_EQ

* changed log message when using old upscale mode
2023-02-17 10:35:54 +03:00
Vladimir Ponomarev 2ab7b7c09e Remove separator between trackbars.
Remove separator between 2 or more trackbars. This separator has zero thickness and creates bags in toolbar.
2023-02-16 15:18:30 +03:00
Alexander Alekhin 6b5be4f1a7 Merge pull request #23247 from lilithgrigoryan:fix-focals-estimation 2023-02-15 15:42:21 +00:00
Anatoliy Talamanov 6c235c8edb Merge pull request #23211 from TolyaTalamanov:at/pipeline-modeling-tool-perf-alignment
[G-API] Pipeline modeling tool: Refactor calculating performance statistics

* Add warmup execution

* Align perf metrics

* Add busy wait mode for source

* Small fix for late frames

* pl_fn to src_fn

* Change show statistics

* Correct warm-up iteration

* Properly calculate drop frames

* Enable frame dropping for streaming mode

* Enable frame dropping for streaming mode

* Fix comments to review

* Fix typos

* Cosmetic
2023-02-15 14:04:14 +03:00
Lilit Grigoryan a87b9fb4b6 Fix focal length estimation from homography matrix 2023-02-14 21:51:09 +03:00
Alexander Alekhin 58d8a2702a Merge pull request #23243 from WanliZhong:accelerate_palm_det 2023-02-14 16:25:02 +00:00
Corentin Noël f1f14ce403 highgui: Set hard GLib requirement to >=2.32
This version has been released 10 years ago.
2023-02-14 13:28:42 +01:00
Dmitry Kurtaev 76350cd30f Merge pull request #23161 from dkurt:dnn_tflite
TFLite models importer

* initial commit

* Refactor TFLiteImporter

* Better FlatBuffers detection

* Add permute before 4D->3D reshape

* Track layers layout

* TFLite Convolution2DTransposeBias layer

* Skip TFLite tests without FlatBuffers

* Fix check of FlatBuffers in tests. Add readNetFromTFLite from buffer

* TFLite Max Unpooling test

* Add skip for TFLite unpooling test

* Revert DW convolution workaround

* Fix ObjC bindings

* Better errors handling

* Regenerate TFLite schema using flatc

* dnn(tflite): more checks, better logging

* Checks for unimplemented fusion. Fix tests
2023-02-13 14:00:20 +00:00
Alexander Alekhin 47293f28cf Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-02-11 18:35:00 +00:00
hzcyf 325fe7e663 add support for Orbbec Femto Mega RGB-D camera 2023-02-11 16:22:35 +08:00
Yannis Guyon 56102737d7 Merge pull request #23131 from y-guyon:align_ptr_intrin_sse
Fix misaligned-pointer-use in intrin_sse.hpp

* Fix misaligned-pointer-use in intrin_sse.hpp

* Use _mm_loadu_si32() instead of memcpy()

* Use CV_DECL_ALIGNED instead of _mm_loadu_si32()
2023-02-10 22:46:21 +00:00
Yuantao Feng c2b7c1f13b Merge pull request #23219 from fengyuentau:add_gelu
Add GELU layer for vision transformers

* add gelu and gelu approximation

* drop setKernelParams
2023-02-10 18:03:29 +00:00
wanli c8f5e228fc release MUL and ADD operator on CUDA 2023-02-10 19:33:59 +08:00
Alexander Alekhin d3c6b85638 Merge pull request #23209 from CSBVision:patch-3 2023-02-09 10:43:52 +00:00
Alexander Alekhin 96a45e842e Merge pull request #23061 from WanliZhong:gemm_cuda
DNN: make GEMM can be supported with transA and transB in CUDA
2023-02-09 00:06:32 +03:00
Ibai Gorordo c280cd7290 Merge pull request #23210 from ibaiGorordo:rect_nfa_bugfix
Fix rect_nfa (lsd)

* Fix missing log_gamma in nfa()

Comparing the nfa function with the function in the binomial_nfa repository (https://github.com/rafael-grompone-von-gioi/binomial_nfa/blob/main/C99/log_binomial_nfa.c#L152), the first log_gamma call is missing.

* Fix rect_nfa pixel index

* Replace std::rotate

* Rename tmp to v_tmp

* Replace auto and std::min_element

* Change slope equality check to int

* Fix left limit check
2023-02-08 17:33:06 +00:00
Alexander Alekhin 44290af516 Merge pull request #23224 from VadimLevin:dev/vlevin/cxx-named-arguments 2023-02-08 17:31:30 +00:00
Alexander Alekhin 649841e6bf Merge pull request #23225 from mshabunin:fix-clang-warnings 2023-02-08 17:28:07 +00:00
Alexander Alekhin 606c80344a Merge pull request #23222 from siilats:patch-1 2023-02-07 15:30:15 +00:00
CSBVision 6ea22535e2 Fixes #23187 (part 1)
Supports delay-loading for Ninja generators and Python bindings.
2023-02-07 09:04:06 +01:00
Maksim Shabunin e4acd74e87 Fix some clang 14 warnings 2023-02-07 01:19:00 +03:00
Vadim Levin b07031b594 feat: named arguments handling in Python interface 2023-02-06 22:14:58 +03:00
Alexander Alekhin 0981814473 Merge pull request #23214 from asmorkalov:as/xcode_warning_supression3.4 2023-02-06 18:29:01 +00:00
Alexander Smorkalov 3d635cb4a7 Warning supression fix for XCode 13.1 and newer. Backport #23203 2023-02-06 11:12:05 +03:00
keith siilats b0aace31ec Update charuco_detector.cpp
Delete the debug print statements accidentally left in
2023-02-05 19:39:25 -05:00
Alexander Alekhin 9eb78eeb18 Merge pull request #23217 from laitingsheng:4.x 2023-02-05 20:08:49 +00:00
Alexander Alekhin 6dfa647f05 Merge pull request #23067 from sashashura:patch-3 2023-02-05 19:50:45 +00:00
Tinson Lai f8f425e34c Change custom_hal.hpp output location 2023-02-03 18:21:15 +08:00
Alexander Smorkalov 206a3fcea8 Merge pull request #23203 from asmorkalov:as/xcode_warning_supression
Supress tones of -Wdeprecated-copy warnings
2023-02-02 18:09:15 +03:00
Alexander Smorkalov c855dcc52f Supressed tones of Wdeprecated-copy that jump out of GTes after XCode update to 13.1 on Mac M1. 2023-02-02 13:54:47 +03:00
Alexander Alekhin cb2052dbfe Merge pull request #23204 from whuaegeanse:fix-sift 2023-02-01 16:52:29 +00:00
whuaegeansea 400572b19f Fix bug 2023-02-01 11:25:31 +08:00
Alexander Alekhin a6b178a3d9 Merge pull request #23198 from mshabunin:fix-rvv-07 2023-01-31 13:11:46 +00:00
wanli 4718a4bf81 make GEMM can be supported with transA and transB in CUDA 2023-01-31 15:14:17 +08:00
Maksim Shabunin 9efaa3cce7 RISC-V/RVV 0.7: v_add/v_sub saturation and avoiding 64-bit register in v_check_ 2023-01-30 23:25:53 +03:00
Alexander Smorkalov ff8af10cfe Merge pull request #23168 from genciberisha/bug/issue-22205_and_23105_encodeStructuredAppend_problem
Fix encodeStructuredAppend() resulting in only one QR code problem, and false output data fix.
2023-01-30 09:15:18 +03:00
Alexander Alekhin cd44aa0bb1 Merge pull request #23162 from zihaomu:issue_23151 2023-01-28 13:00:43 +00:00
Alexander Alekhin d3ae175bca Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-28 10:01:23 +00:00
Rostislav Vasilikhin deaf632881 Merge pull request #23179 from savuor:port34_stddev_calib_fisheye
Backport to 3.4 of the fisheye calibration uncertainty fix

* uncertainties fix

* trailing whitespace

* comment added
2023-01-28 09:56:13 +00:00
Alexander Alekhin c67d4fc633 Merge pull request #23076 from inayd:22012-bugfixFillPoly 2023-01-28 09:55:02 +00:00
zihaomu f45a12439a fix depth wise issue. 2023-01-28 11:41:00 +08:00
Alexander Alekhin bd9d60c4c6 Merge pull request #23185 from y-guyon:parallel_tsan_data_race 2023-01-27 15:10:18 +00:00
Yuantao Feng 4d918ba40b Merge pull request #23047 from fengyuentau:layer_norm
dnn: add layer normalization for vision transformers

* add layer norm onnx parser, impl and tests

* add onnx graph simplifier for layer norm expanded

* handle the case when constants are of type Initializer

* add test case for layer norm expanded with initializers

* use CV_Assert & CV_CheckType in place of CV_Assert_N; use forward_fallback for OCL_FP16

* use const ref / ref in parameters of invoker::run; extract inner const if from nested loop; use size_t in place of ull

* template hasBias

* remove trailing whitespace

* use pointer parameter with null check; move normSize division & mean_square division outside of loop; use std::max to ensure positive value before std::sqrt

* refactor implementation, optimize parallel_for

* disable layer norm expanded

* remove the removal of layer norm optional outputs
2023-01-27 16:35:59 +03:00
Yannis Guyon bf29a4d746 Avoid double-checked locking with TSAN in parallel
Omit the first check of the double-checked locking pattern in
recordException() in parallel.cpp when CV_THREAD_SANITIZER is defined.
This should only slow recordException() down when the thread sanitizer
is used, and avoids the TSAN data race warning.
2023-01-27 13:36:33 +01:00
Genci Berisha 743d4ecf7b generateQR() method data loss fix
Added regression parameterized test for Structure Append mode

final_qr_code clear outside generateQR() method
2023-01-26 23:30:14 +01:00
Alexander Alekhin 52855a39ad Merge pull request #23165 from labeeb-7z:optimizeDistanceTransform 2023-01-25 16:52:46 +00:00
Lilo Huang cb7fe597a5 Merge pull request #23172 from lilohuang:master
Adding HEVC/H265 FourCC support to MSMF video writer

* Adding HEVC/H265 fourcc to MSMF video writer

Adding HEVC/H265 fourcc to MSMF video writer. I have verified it with my own video input stream, and it works well on my workstation.

* Update video io testing

* Adding macro fence to get rid of compiler error

H265/HEVC encoder is only available in Windows or later. https://learn.microsoft.com/en-us/windows/win32/medfound/h-265---hevc-video-encoder

* Update test_video_io.cpp
2023-01-25 04:49:08 +00:00
Alexander Alekhin 8ffc06ff72 Merge pull request #23173 from tomoaki0705:fix_warning_master 2023-01-23 15:33:16 +00:00
Tomoaki Teshima 186c18668c suppress warning 2023-01-23 22:47:43 +09:00
Rostislav Vasilikhin 4009bca59a Merge pull request #23025 from savuor:backport3_stddev_calib_fix
Backport of #22992 to 3.4

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-01-23 14:59:43 +03:00
Alexander Alekhin 18cbfa4a4f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-23 00:11:12 +00:00
Alexander Alekhin b71a168937 Merge pull request #23154 from tomoaki0705:handleNonBitExact 2023-01-21 18:14:25 +00:00
Labib Asari 35c17f35be removed redundant code 2023-01-21 00:16:48 +05:30
Alexander Smorkalov 3085fc6345 Merge pull request #23073 from savuor:fix_graphcut_used_edges_dense
USAC fix: GraphCut fails to allocate big dense matrices
2023-01-20 14:55:40 +03:00
Alexander Alekhin 17e860a288 Merge pull request #16189 from mshabunin:enable-two-channels 2023-01-20 08:51:46 +00:00
Alexander Smorkalov e200b88a5a Merge pull request #23148 from alalek:perf_drop_calibration
perf: drop runtime time adjustment calibration
2023-01-20 11:28:57 +03:00
Tomoaki Teshima 1833b034fe make test tolerate to rounding error 2023-01-19 22:06:52 +09:00
Alexander Alekhin 69020666fe test: reproducible results, enabled 2-channel tests, increased some thresholds 2023-01-19 15:39:33 +03:00
Alexander Alekhin 53144ee0eb perf: drop runtime time adjustment calibration 2023-01-18 22:13:30 +00:00
Alexander Alekhin 952962a111 Merge pull request #23141 from mshabunin:backport-c-cleanup 2023-01-18 14:11:21 +00:00
Alexander Smorkalov c664cf3717 Merge pull request #23145 from savuor:backport34_fix_inf
Backport to 3.4: cvIsInf() fix
2023-01-18 10:07:50 +03:00
Funatomi Takuya dbdd357b0a Extend USAC coverage.
Add `estimateSE2(...)`, `estimateSE3(...)`, `estimateSIM2(...)`, `estimateSIM3(...)` for estimating an geometric transformation with rotation and translation (with scaling for SIM) using USAC: as alternative for `estimateAffinePartial2D` and `estimateAffine3D`.

Modified test module.

Remove unused variables.

Remove initializer of unused variable.

Add interfaces to accept UsacParams() and corresponding test codes.

Revise test code.

PartialNd removed

Umeyama rewritten for code quality & speed

comments & minors

rise number of points

fix, and +30% faster!

only one number should be that big

remove USAC code, leave fix only

big number
2023-01-18 02:12:57 +01:00
Rostislav Vasilikhin f3a03aefad cvIsInf(double) fix + regression test 2023-01-17 23:06:39 +01:00
Maksim Shabunin c1e5c16ff3 Backport C-API cleanup (imgproc) from 5.x 2023-01-16 23:29:50 +03:00
Yuantao Feng c63d79c5b1 Merge pull request #23095 from fengyuentau:fix_omp_macos
* fix openmp include and link issue on macos

* turn off have_openmp if OpenMP_CXX_INCLUDE_DIRS is empty

* test commit

* use condition HAVE_OPENMP and OpenMP_CXX_LIBRARIES for linking

* remove trailing whitespace

* remove notes

* update conditions

* use OpenMP_CXX_LIBRARIES for linking
2023-01-16 12:44:13 +03:00
Alexander Alekhin a9d02f096e Merge pull request #23126 from cudawarped:fix_issue_3412 2023-01-13 13:08:27 +00:00
Ihsan Soydemir 6a7d54f550 Merge pull request #23128 from Isydmr:update-fastNlMeansDenoising-documentation
Fix broken paper link for fastNlMeansDenoising

* Fix broken link

* Move citation to `opencv.bib`

* Cite researchgate reference

* Correct citation label

* Use semantic scholar BibTex
2023-01-12 19:54:40 +03:00
Alexander Alekhin 3d5e3a910f Merge pull request #23096 from zihaomu:issue_23074 2023-01-12 00:51:04 +00:00
Xxfore ef0fcb9238 Merge pull request #22938 from Xxfore:4.x
Use reinterpret instead of c-style casting for GCC

Co-authored-by: Xu Zhang <xu.zhang@hexintek.com>
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
2023-01-11 14:11:16 +00:00
cudawarped b5bf756ca0 core: define cuda test size with row/col of 1 2023-01-11 14:52:46 +02:00
Alexander Smorkalov ad8f8b0c8c Merge pull request #23087 from lukasalexanderweber:4.x
add GraphCutSeamFinder to stitching_detailed.py
2023-01-11 10:29:21 +03:00
zihaomu 840b1d5c94 add depthwise add fuse 2023-01-11 08:42:51 +08:00
Alexander Alekhin 974102bc7f Merge pull request #23120 from alalek:fixup_22246_2 2023-01-10 10:01:17 +00:00
Alexander Alekhin 5bacd8753b build: eliminate GCC9 warning from sift.simd.hpp 2023-01-10 01:38:12 +00:00
Alexander Alekhin cbc9745b79 Merge pull request #23111 from Yeatse:fix-apple-silicon-build 2023-01-09 19:39:05 +00:00
Alexander Alekhin 65c2d6a2be Merge pull request #23112 from zihaomu:fix_x86_winograd 2023-01-09 19:37:29 +00:00
Alexander Smorkalov b16a4ba25b Merge pull request #23062 from cudawarped:cuda_add_lovelace_hopper
CUDA: add Ada Lovelace and Hopper CC
2023-01-09 20:36:33 +03:00
cudawarped 927aa1e617 cuda: add ada lovelace and hopper cuda arch 2023-01-09 15:44:37 +02:00
Alexander Smorkalov fdf2151d9f Merge pull request #23114 from smeng9:4.x
fix typo: stetDictionary to setDictionary
2023-01-09 16:14:47 +03:00
Yang Chao e0aa677388 Open CV_CPU_NEON_DOTPROD on Apple silicon devices 2023-01-09 19:27:35 +08:00
Alexander Alekhin 2ab46d9553 Merge pull request #23117 from alalek:test_skip_sporadic_23116 2023-01-09 11:06:37 +00:00
Alexander Alekhin 36815fe3f3 videoio(test): skip unstable Media.audio test 2023-01-09 10:06:10 +00:00
Christoph Rackwitz a64b51dd94 Merge pull request #23108 from crackwitz:issue-23107
Usage of imread(): magic number 0, unchecked result

* docs: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()

* samples, apps: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()

* tests: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread()

* doc/py_tutorials: check imread() result
2023-01-09 09:55:31 +00:00
Alexander Alekhin 55534eeb06 copyright: 2023 (update) 2023-01-09 09:49:22 +00:00
smeng9 b5a0d2b580 fix typo: stetDictionary to setDictionary 2023-01-08 23:58:54 -06:00
zihaomu 82616eec41 fix possible segmentation fault error in winograd on x86 2023-01-09 13:40:04 +08:00
Alexander Alekhin 7e52003533 copyright: 2023 2023-01-08 18:19:37 +00:00
Alexander Alekhin 7b7774476e copyright: 2023 2023-01-08 18:18:37 +00:00
Lukas Weber 4df6e39bab add GraphCutSeamFinder 2023-01-03 22:45:49 +01:00
inayd 54449b614b Fix occuring artifacts in fillPoly 2023-01-03 16:29:13 +01:00
Alex a2fc479c0b Fix Heap-buffer-overflow READ in opj_jp2_apply_pclr
https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=47342

The read overflow triggered by reading `src[j]` in
```cpp
            for (j = 0; j < max; ++j) {
                dst[j] = src[j];
            }
```
The max is calculated as `new_comps[pcol].w * new_comps[pcol].h`, however the `src = old_comps[cmp].data;` which may have different `w` and `h` dimensions.
2022-12-30 15:43:41 +00:00
Alexander Alekhin 9208dcb07c Merge tag '4.7.0' 2022-12-28 15:23:46 +00:00
Alexander 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
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
Prasanth R 5acf351e4b #21804 Add opencv_gapi as dep to samples/cpp 2022-07-14 13:34:54 +05:30
934 changed files with 107998 additions and 24700 deletions
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# These are supported funding model platforms
github: opencv
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@@ -10,7 +10,7 @@ body:
- type: textarea
attributes:
label: Descripe the doc issue
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 3.4, 4.x and 5.x, so please specify the branch with the problem.
placeholder: |
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- type: textarea
attributes:
label: Descripe the feature and motivation
label: Describe the feature and motivation
description: |
Please provide a clear and concise proposal of the feature and outline the motivation.
validations:
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@@ -1,41 +1,47 @@
name: PR:4.x
name: PR:4.8.x
on:
pull_request:
branches:
- 4.x
- 4.8.x
jobs:
Ubuntu2004-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64.yaml@release_4.8.x
Ubuntu2004-ARM64-Debug:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64-Debug.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-ARM64-Debug.yaml@release_4.8.x
Ubuntu2004-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20.yaml@release_4.8.x
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
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-U20-Cuda.yaml@release_4.8.x
Windows10-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-W10.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-W10.yaml@release_4.8.x
Windows10-x64-Vulkan:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-W10-Vulkan.yaml@release_4.8.x
macOS-ARM64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-ARM64.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-ARM64.yaml@release_4.8.x
macOS-x64:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-x86_64.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-x86_64.yaml@release_4.8.x
macOS-ARM64-Vulkan:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-macOS-ARM64-Vulkan.yaml@release_4.8.x
iOS:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-iOS.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-iOS.yaml@release_4.8.x
Android:
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-Android.yaml@main
uses: opencv/ci-gha-workflow/.github/workflows/OCV-PR-4.x-Android.yaml@release_4.8.x
TIM-VX:
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# Binaries branch name: ffmpeg/4.x_20221225
# Binaries were created for OpenCV: 4abe6dc48d4ec6229f332cc6cf6c7e234ac8027e
ocv_update(FFMPEG_BINARIES_COMMIT "7dd0d4f1d6fe75f05f3d3b5e38cbc96c1a2d2809")
ocv_update(FFMPEG_FILE_HASH_BIN32 "e598ae2ece1ddf310bc49b58202fd87a")
ocv_update(FFMPEG_FILE_HASH_BIN64 "b2a40c142c20aef9fd663fc8f85c2971")
# Binaries branch name: ffmpeg/4.x_20230622
# Binaries were created for OpenCV: 61d48dd0f8d1cc1a115d26998705a61478f64a3c
ocv_update(FFMPEG_BINARIES_COMMIT "7da61f0695eabf8972a2c302bf1632a3d99fb0d5")
ocv_update(FFMPEG_FILE_HASH_BIN32 "4aaef1456e282e5ef665d65555f47f56")
ocv_update(FFMPEG_FILE_HASH_BIN64 "38a638851e064c591ce812e27ed43f1f")
ocv_update(FFMPEG_FILE_HASH_CMAKE "8862c87496e2e8c375965e1277dee1c7")
function(download_win_ffmpeg script_var)
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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_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_
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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_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_
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#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_
+513
View File
@@ -0,0 +1,513 @@
/*
* 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
View File
@@ -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
+10286 -1804
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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
View File
@@ -1,24 +1,10 @@
#ifndef VULKAN_FUCHSIA_H_
#define VULKAN_FUCHSIA_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
** Copyright 2015-2023 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
** SPDX-License-Identifier: Apache-2.0
*/
/*
@@ -27,12 +13,16 @@ extern "C" {
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_FUCHSIA_imagepipe_surface 1
#define VK_FUCHSIA_IMAGEPIPE_SURFACE_SPEC_VERSION 1
#define VK_FUCHSIA_IMAGEPIPE_SURFACE_EXTENSION_NAME "VK_FUCHSIA_imagepipe_surface"
typedef VkFlags VkImagePipeSurfaceCreateFlagsFUCHSIA;
typedef struct VkImagePipeSurfaceCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
@@ -40,7 +30,6 @@ typedef struct VkImagePipeSurfaceCreateInfoFUCHSIA {
zx_handle_t imagePipeHandle;
} VkImagePipeSurfaceCreateInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkCreateImagePipeSurfaceFUCHSIA)(VkInstance instance, const VkImagePipeSurfaceCreateInfoFUCHSIA* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
#ifndef VK_NO_PROTOTYPES
@@ -51,6 +40,217 @@ VKAPI_ATTR VkResult VKAPI_CALL vkCreateImagePipeSurfaceFUCHSIA(
VkSurfaceKHR* pSurface);
#endif
#define VK_FUCHSIA_external_memory 1
#define VK_FUCHSIA_EXTERNAL_MEMORY_SPEC_VERSION 1
#define VK_FUCHSIA_EXTERNAL_MEMORY_EXTENSION_NAME "VK_FUCHSIA_external_memory"
typedef struct VkImportMemoryZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkExternalMemoryHandleTypeFlagBits handleType;
zx_handle_t handle;
} VkImportMemoryZirconHandleInfoFUCHSIA;
typedef struct VkMemoryZirconHandlePropertiesFUCHSIA {
VkStructureType sType;
void* pNext;
uint32_t memoryTypeBits;
} VkMemoryZirconHandlePropertiesFUCHSIA;
typedef struct VkMemoryGetZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkDeviceMemory memory;
VkExternalMemoryHandleTypeFlagBits handleType;
} VkMemoryGetZirconHandleInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryZirconHandleFUCHSIA)(VkDevice device, const VkMemoryGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo, zx_handle_t* pZirconHandle);
typedef VkResult (VKAPI_PTR *PFN_vkGetMemoryZirconHandlePropertiesFUCHSIA)(VkDevice device, VkExternalMemoryHandleTypeFlagBits handleType, zx_handle_t zirconHandle, VkMemoryZirconHandlePropertiesFUCHSIA* pMemoryZirconHandleProperties);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkGetMemoryZirconHandleFUCHSIA(
VkDevice device,
const VkMemoryGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo,
zx_handle_t* pZirconHandle);
VKAPI_ATTR VkResult VKAPI_CALL vkGetMemoryZirconHandlePropertiesFUCHSIA(
VkDevice device,
VkExternalMemoryHandleTypeFlagBits handleType,
zx_handle_t zirconHandle,
VkMemoryZirconHandlePropertiesFUCHSIA* pMemoryZirconHandleProperties);
#endif
#define VK_FUCHSIA_external_semaphore 1
#define VK_FUCHSIA_EXTERNAL_SEMAPHORE_SPEC_VERSION 1
#define VK_FUCHSIA_EXTERNAL_SEMAPHORE_EXTENSION_NAME "VK_FUCHSIA_external_semaphore"
typedef struct VkImportSemaphoreZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkSemaphore semaphore;
VkSemaphoreImportFlags flags;
VkExternalSemaphoreHandleTypeFlagBits handleType;
zx_handle_t zirconHandle;
} VkImportSemaphoreZirconHandleInfoFUCHSIA;
typedef struct VkSemaphoreGetZirconHandleInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkSemaphore semaphore;
VkExternalSemaphoreHandleTypeFlagBits handleType;
} VkSemaphoreGetZirconHandleInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkImportSemaphoreZirconHandleFUCHSIA)(VkDevice device, const VkImportSemaphoreZirconHandleInfoFUCHSIA* pImportSemaphoreZirconHandleInfo);
typedef VkResult (VKAPI_PTR *PFN_vkGetSemaphoreZirconHandleFUCHSIA)(VkDevice device, const VkSemaphoreGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo, zx_handle_t* pZirconHandle);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkImportSemaphoreZirconHandleFUCHSIA(
VkDevice device,
const VkImportSemaphoreZirconHandleInfoFUCHSIA* pImportSemaphoreZirconHandleInfo);
VKAPI_ATTR VkResult VKAPI_CALL vkGetSemaphoreZirconHandleFUCHSIA(
VkDevice device,
const VkSemaphoreGetZirconHandleInfoFUCHSIA* pGetZirconHandleInfo,
zx_handle_t* pZirconHandle);
#endif
#define VK_FUCHSIA_buffer_collection 1
VK_DEFINE_NON_DISPATCHABLE_HANDLE(VkBufferCollectionFUCHSIA)
#define VK_FUCHSIA_BUFFER_COLLECTION_SPEC_VERSION 2
#define VK_FUCHSIA_BUFFER_COLLECTION_EXTENSION_NAME "VK_FUCHSIA_buffer_collection"
typedef VkFlags VkImageFormatConstraintsFlagsFUCHSIA;
typedef enum VkImageConstraintsInfoFlagBitsFUCHSIA {
VK_IMAGE_CONSTRAINTS_INFO_CPU_READ_RARELY_FUCHSIA = 0x00000001,
VK_IMAGE_CONSTRAINTS_INFO_CPU_READ_OFTEN_FUCHSIA = 0x00000002,
VK_IMAGE_CONSTRAINTS_INFO_CPU_WRITE_RARELY_FUCHSIA = 0x00000004,
VK_IMAGE_CONSTRAINTS_INFO_CPU_WRITE_OFTEN_FUCHSIA = 0x00000008,
VK_IMAGE_CONSTRAINTS_INFO_PROTECTED_OPTIONAL_FUCHSIA = 0x00000010,
VK_IMAGE_CONSTRAINTS_INFO_FLAG_BITS_MAX_ENUM_FUCHSIA = 0x7FFFFFFF
} VkImageConstraintsInfoFlagBitsFUCHSIA;
typedef VkFlags VkImageConstraintsInfoFlagsFUCHSIA;
typedef struct VkBufferCollectionCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
zx_handle_t collectionToken;
} VkBufferCollectionCreateInfoFUCHSIA;
typedef struct VkImportMemoryBufferCollectionFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCollectionFUCHSIA collection;
uint32_t index;
} VkImportMemoryBufferCollectionFUCHSIA;
typedef struct VkBufferCollectionImageCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCollectionFUCHSIA collection;
uint32_t index;
} VkBufferCollectionImageCreateInfoFUCHSIA;
typedef struct VkBufferCollectionConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
uint32_t minBufferCount;
uint32_t maxBufferCount;
uint32_t minBufferCountForCamping;
uint32_t minBufferCountForDedicatedSlack;
uint32_t minBufferCountForSharedSlack;
} VkBufferCollectionConstraintsInfoFUCHSIA;
typedef struct VkBufferConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCreateInfo createInfo;
VkFormatFeatureFlags requiredFormatFeatures;
VkBufferCollectionConstraintsInfoFUCHSIA bufferCollectionConstraints;
} VkBufferConstraintsInfoFUCHSIA;
typedef struct VkBufferCollectionBufferCreateInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkBufferCollectionFUCHSIA collection;
uint32_t index;
} VkBufferCollectionBufferCreateInfoFUCHSIA;
typedef struct VkSysmemColorSpaceFUCHSIA {
VkStructureType sType;
const void* pNext;
uint32_t colorSpace;
} VkSysmemColorSpaceFUCHSIA;
typedef struct VkBufferCollectionPropertiesFUCHSIA {
VkStructureType sType;
void* pNext;
uint32_t memoryTypeBits;
uint32_t bufferCount;
uint32_t createInfoIndex;
uint64_t sysmemPixelFormat;
VkFormatFeatureFlags formatFeatures;
VkSysmemColorSpaceFUCHSIA sysmemColorSpaceIndex;
VkComponentMapping samplerYcbcrConversionComponents;
VkSamplerYcbcrModelConversion suggestedYcbcrModel;
VkSamplerYcbcrRange suggestedYcbcrRange;
VkChromaLocation suggestedXChromaOffset;
VkChromaLocation suggestedYChromaOffset;
} VkBufferCollectionPropertiesFUCHSIA;
typedef struct VkImageFormatConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
VkImageCreateInfo imageCreateInfo;
VkFormatFeatureFlags requiredFormatFeatures;
VkImageFormatConstraintsFlagsFUCHSIA flags;
uint64_t sysmemPixelFormat;
uint32_t colorSpaceCount;
const VkSysmemColorSpaceFUCHSIA* pColorSpaces;
} VkImageFormatConstraintsInfoFUCHSIA;
typedef struct VkImageConstraintsInfoFUCHSIA {
VkStructureType sType;
const void* pNext;
uint32_t formatConstraintsCount;
const VkImageFormatConstraintsInfoFUCHSIA* pFormatConstraints;
VkBufferCollectionConstraintsInfoFUCHSIA bufferCollectionConstraints;
VkImageConstraintsInfoFlagsFUCHSIA flags;
} VkImageConstraintsInfoFUCHSIA;
typedef VkResult (VKAPI_PTR *PFN_vkCreateBufferCollectionFUCHSIA)(VkDevice device, const VkBufferCollectionCreateInfoFUCHSIA* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkBufferCollectionFUCHSIA* pCollection);
typedef VkResult (VKAPI_PTR *PFN_vkSetBufferCollectionImageConstraintsFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, const VkImageConstraintsInfoFUCHSIA* pImageConstraintsInfo);
typedef VkResult (VKAPI_PTR *PFN_vkSetBufferCollectionBufferConstraintsFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, const VkBufferConstraintsInfoFUCHSIA* pBufferConstraintsInfo);
typedef void (VKAPI_PTR *PFN_vkDestroyBufferCollectionFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, const VkAllocationCallbacks* pAllocator);
typedef VkResult (VKAPI_PTR *PFN_vkGetBufferCollectionPropertiesFUCHSIA)(VkDevice device, VkBufferCollectionFUCHSIA collection, VkBufferCollectionPropertiesFUCHSIA* pProperties);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateBufferCollectionFUCHSIA(
VkDevice device,
const VkBufferCollectionCreateInfoFUCHSIA* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkBufferCollectionFUCHSIA* pCollection);
VKAPI_ATTR VkResult VKAPI_CALL vkSetBufferCollectionImageConstraintsFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
const VkImageConstraintsInfoFUCHSIA* pImageConstraintsInfo);
VKAPI_ATTR VkResult VKAPI_CALL vkSetBufferCollectionBufferConstraintsFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
const VkBufferConstraintsInfoFUCHSIA* pBufferConstraintsInfo);
VKAPI_ATTR void VKAPI_CALL vkDestroyBufferCollectionFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
const VkAllocationCallbacks* pAllocator);
VKAPI_ATTR VkResult VKAPI_CALL vkGetBufferCollectionPropertiesFUCHSIA(
VkDevice device,
VkBufferCollectionFUCHSIA collection,
VkBufferCollectionPropertiesFUCHSIA* pProperties);
#endif
#ifdef __cplusplus
}
#endif
+58
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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
View File
@@ -1,65 +0,0 @@
#ifndef VULKAN_MIR_H_
#define VULKAN_MIR_H_ 1
#ifdef __cplusplus
extern "C" {
#endif
/*
** Copyright (c) 2015-2018 The Khronos Group Inc.
**
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
**
** http://www.apache.org/licenses/LICENSE-2.0
**
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#define VK_KHR_mir_surface 1
#define VK_KHR_MIR_SURFACE_SPEC_VERSION 4
#define VK_KHR_MIR_SURFACE_EXTENSION_NAME "VK_KHR_mir_surface"
typedef VkFlags VkMirSurfaceCreateFlagsKHR;
typedef struct VkMirSurfaceCreateInfoKHR {
VkStructureType sType;
const void* pNext;
VkMirSurfaceCreateFlagsKHR flags;
MirConnection* connection;
MirSurface* mirSurface;
} VkMirSurfaceCreateInfoKHR;
typedef VkResult (VKAPI_PTR *PFN_vkCreateMirSurfaceKHR)(VkInstance instance, const VkMirSurfaceCreateInfoKHR* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceMirPresentationSupportKHR)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, MirConnection* connection);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateMirSurfaceKHR(
VkInstance instance,
const VkMirSurfaceCreateInfoKHR* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
VKAPI_ATTR VkBool32 VKAPI_CALL vkGetPhysicalDeviceMirPresentationSupportKHR(
VkPhysicalDevice physicalDevice,
uint32_t queueFamilyIndex,
MirConnection* connection);
#endif
#ifdef __cplusplus
}
#endif
#endif
+54
View File
@@ -0,0 +1,54 @@
#ifndef VULKAN_SCREEN_H_
#define VULKAN_SCREEN_H_ 1
/*
** Copyright 2015-2023 The Khronos Group Inc.
**
** SPDX-License-Identifier: Apache-2.0
*/
/*
** This header is generated from the Khronos Vulkan XML API Registry.
**
*/
#ifdef __cplusplus
extern "C" {
#endif
#define VK_QNX_screen_surface 1
#define VK_QNX_SCREEN_SURFACE_SPEC_VERSION 1
#define VK_QNX_SCREEN_SURFACE_EXTENSION_NAME "VK_QNX_screen_surface"
typedef VkFlags VkScreenSurfaceCreateFlagsQNX;
typedef struct VkScreenSurfaceCreateInfoQNX {
VkStructureType sType;
const void* pNext;
VkScreenSurfaceCreateFlagsQNX flags;
struct _screen_context* context;
struct _screen_window* window;
} VkScreenSurfaceCreateInfoQNX;
typedef VkResult (VKAPI_PTR *PFN_vkCreateScreenSurfaceQNX)(VkInstance instance, const VkScreenSurfaceCreateInfoQNX* pCreateInfo, const VkAllocationCallbacks* pAllocator, VkSurfaceKHR* pSurface);
typedef VkBool32 (VKAPI_PTR *PFN_vkGetPhysicalDeviceScreenPresentationSupportQNX)(VkPhysicalDevice physicalDevice, uint32_t queueFamilyIndex, struct _screen_window* window);
#ifndef VK_NO_PROTOTYPES
VKAPI_ATTR VkResult VKAPI_CALL vkCreateScreenSurfaceQNX(
VkInstance instance,
const VkScreenSurfaceCreateInfoQNX* pCreateInfo,
const VkAllocationCallbacks* pAllocator,
VkSurfaceKHR* pSurface);
VKAPI_ATTR VkBool32 VKAPI_CALL vkGetPhysicalDeviceScreenPresentationSupportQNX(
VkPhysicalDevice physicalDevice,
uint32_t queueFamilyIndex,
struct _screen_window* window);
#endif
#ifdef __cplusplus
}
#endif
#endif
+8 -19
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(${root_var} "" PARENT_SCOPE)
# Commit SHA in the opencv_3rdparty repo
set(IPPICV_COMMIT "a56b6ac6f030c312b2dce17430eef13aed9af274")
set(IPPICV_COMMIT "1224f78da6684df04397ac0f40c961ed37f79ccb")
# Define actual ICV versions
if(APPLE)
set(OPENCV_ICV_PLATFORM "macosx")
set(OPENCV_ICV_PACKAGE_SUBDIR "ippicv_mac")
set(OPENCV_ICV_NAME "ippicv_2020_mac_intel64_20191018_general.tgz")
set(OPENCV_ICV_HASH "1c3d675c2a2395d094d523024896e01b")
set(OPENCV_ICV_NAME "ippicv_2021.8_mac_intel64_20230330_general.tgz")
set(OPENCV_ICV_HASH "d2b234a86af1b616958619a4560356d9")
elseif((UNIX AND NOT ANDROID) OR (UNIX AND ANDROID_ABI MATCHES "x86"))
set(OPENCV_ICV_PLATFORM "linux")
set(OPENCV_ICV_PACKAGE_SUBDIR "ippicv_lnx")
if(X86_64)
set(OPENCV_ICV_NAME "ippicv_2020_lnx_intel64_20191018_general.tgz")
set(OPENCV_ICV_HASH "7421de0095c7a39162ae13a6098782f9")
set(OPENCV_ICV_NAME "ippicv_2021.8_lnx_intel64_20230330_general.tgz")
set(OPENCV_ICV_HASH "43219bdc7e3805adcbe3a1e2f1f3ef3b")
else()
set(OPENCV_ICV_NAME "ippicv_2020_lnx_ia32_20191018_general.tgz")
set(OPENCV_ICV_HASH "ad189a940fb60eb71f291321322fe3e8")
set(OPENCV_ICV_NAME "ippicv_2021.8_lnx_ia32_20230330_general.tgz")
set(OPENCV_ICV_HASH "165875443d72faa3fd2146869da90d07")
endif()
elseif(WIN32 AND NOT ARM)
set(OPENCV_ICV_PLATFORM "windows")
set(OPENCV_ICV_PACKAGE_SUBDIR "ippicv_win")
if(X86_64)
set(OPENCV_ICV_NAME "ippicv_2020_win_intel64_20191018_general.zip")
set(OPENCV_ICV_HASH "879741a7946b814455eee6c6ffde2984")
set(OPENCV_ICV_NAME "ippicv_2021.8_win_intel64_20230330_general.zip")
set(OPENCV_ICV_HASH "71e4f58de939f0348ec7fb58ffb17dbf")
else()
set(OPENCV_ICV_NAME "ippicv_2020_win_ia32_20191018_general.zip")
set(OPENCV_ICV_HASH "cd39bdf0c2e1cac9a61101dad7a2413e")
set(OPENCV_ICV_NAME "ippicv_2021.8_win_ia32_20230330_general.zip")
set(OPENCV_ICV_HASH "57fd4648cfe64eae9e2ad9d50173a553")
endif()
else()
return()
+2 -8
View File
@@ -9,8 +9,8 @@ if(ANDROID)
ocv_include_directories(${CPUFEATURES_INCLUDE_DIRS})
endif()
file(GLOB lib_srcs src/dec/*.c src/demux/*.c src/dsp/*.c src/enc/*.c src/mux/*.c src/utils/*.c src/webp/*.c)
file(GLOB lib_hdrs src/dec/*.h src/demux/*.h src/dsp/*.h src/enc/*.h src/mux/*.h src/utils/*.h src/webp/*.h)
file(GLOB lib_srcs sharpyuv/*.c src/dec/*.c src/demux/*.c src/dsp/*.c src/enc/*.c src/mux/*.c src/utils/*.c src/webp/*.c)
file(GLOB lib_hdrs sharpyuv/*.h src/dec/*.h src/demux/*.h src/dsp/*.h src/enc/*.h src/mux/*.h src/utils/*.h src/webp/*.h)
# FIXIT
if(ANDROID AND ARMEABI_V7A AND NOT NEON)
@@ -21,12 +21,6 @@ if(ANDROID AND ARMEABI_V7A AND NOT NEON)
endforeach()
endif()
# FIX for quant.h - requires C99 for() loops
ocv_check_flag_support(C "-std=c99" _varname "${CMAKE_C_FLAGS}")
if(${_varname})
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -std=c99")
endif()
# ----------------------------------------------------------------------------------
# Define the library target:
-22
View File
@@ -1,22 +0,0 @@
diff --git a/3rdparty/libwebp/src/dsp/msa_macro.h b/3rdparty/libwebp/src/dsp/msa_macro.h
index de026a1d9e..a16c0bb300 100644
--- a/3rdparty/libwebp/src/dsp/msa_macro.h
+++ b/3rdparty/libwebp/src/dsp/msa_macro.h
@@ -73,7 +73,7 @@
static inline TYPE FUNC_NAME(const void* const psrc) { \
const uint8_t* const psrc_m = (const uint8_t*)psrc; \
TYPE val_m; \
- asm volatile ( \
+ __asm__ volatile ( \
"" #INSTR " %[val_m], %[psrc_m] \n\t" \
: [val_m] "=r" (val_m) \
: [psrc_m] "m" (*psrc_m)); \
@@ -86,7 +86,7 @@
static inline void FUNC_NAME(TYPE val, void* const pdst) { \
uint8_t* const pdst_m = (uint8_t*)pdst; \
TYPE val_m = val; \
- asm volatile ( \
+ __asm__ volatile ( \
" " #INSTR " %[val_m], %[pdst_m] \n\t" \
: [pdst_m] "=m" (*pdst_m) \
: [val_m] "r" (val_m)); \
+565
View File
@@ -0,0 +1,565 @@
// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Sharp RGB to YUV conversion.
//
// Author: Skal (pascal.massimino@gmail.com)
#include "sharpyuv/sharpyuv.h"
#include <assert.h>
#include <limits.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "src/webp/types.h"
#include "sharpyuv/sharpyuv_cpu.h"
#include "sharpyuv/sharpyuv_dsp.h"
#include "sharpyuv/sharpyuv_gamma.h"
//------------------------------------------------------------------------------
int SharpYuvGetVersion(void) {
return SHARPYUV_VERSION;
}
//------------------------------------------------------------------------------
// Sharp RGB->YUV conversion
static const int kNumIterations = 4;
#define YUV_FIX 16 // fixed-point precision for RGB->YUV
static const int kYuvHalf = 1 << (YUV_FIX - 1);
// Max bit depth so that intermediate calculations fit in 16 bits.
static const int kMaxBitDepth = 14;
// Returns the precision shift to use based on the input rgb_bit_depth.
static int GetPrecisionShift(int rgb_bit_depth) {
// Try to add 2 bits of precision if it fits in kMaxBitDepth. Otherwise remove
// bits if needed.
return ((rgb_bit_depth + 2) <= kMaxBitDepth) ? 2
: (kMaxBitDepth - rgb_bit_depth);
}
typedef int16_t fixed_t; // signed type with extra precision for UV
typedef uint16_t fixed_y_t; // unsigned type with extra precision for W
//------------------------------------------------------------------------------
static uint8_t clip_8b(fixed_t v) {
return (!(v & ~0xff)) ? (uint8_t)v : (v < 0) ? 0u : 255u;
}
static uint16_t clip(fixed_t v, int max) {
return (v < 0) ? 0 : (v > max) ? max : (uint16_t)v;
}
static fixed_y_t clip_bit_depth(int y, int bit_depth) {
const int max = (1 << bit_depth) - 1;
return (!(y & ~max)) ? (fixed_y_t)y : (y < 0) ? 0 : max;
}
//------------------------------------------------------------------------------
static int RGBToGray(int64_t r, int64_t g, int64_t b) {
const int64_t luma = 13933 * r + 46871 * g + 4732 * b + kYuvHalf;
return (int)(luma >> YUV_FIX);
}
static uint32_t ScaleDown(uint16_t a, uint16_t b, uint16_t c, uint16_t d,
int rgb_bit_depth,
SharpYuvTransferFunctionType transfer_type) {
const int bit_depth = rgb_bit_depth + GetPrecisionShift(rgb_bit_depth);
const uint32_t A = SharpYuvGammaToLinear(a, bit_depth, transfer_type);
const uint32_t B = SharpYuvGammaToLinear(b, bit_depth, transfer_type);
const uint32_t C = SharpYuvGammaToLinear(c, bit_depth, transfer_type);
const uint32_t D = SharpYuvGammaToLinear(d, bit_depth, transfer_type);
return SharpYuvLinearToGamma((A + B + C + D + 2) >> 2, bit_depth,
transfer_type);
}
static WEBP_INLINE void UpdateW(const fixed_y_t* src, fixed_y_t* dst, int w,
int rgb_bit_depth,
SharpYuvTransferFunctionType transfer_type) {
const int bit_depth = rgb_bit_depth + GetPrecisionShift(rgb_bit_depth);
int i;
for (i = 0; i < w; ++i) {
const uint32_t R =
SharpYuvGammaToLinear(src[0 * w + i], bit_depth, transfer_type);
const uint32_t G =
SharpYuvGammaToLinear(src[1 * w + i], bit_depth, transfer_type);
const uint32_t B =
SharpYuvGammaToLinear(src[2 * w + i], bit_depth, transfer_type);
const uint32_t Y = RGBToGray(R, G, B);
dst[i] = (fixed_y_t)SharpYuvLinearToGamma(Y, bit_depth, transfer_type);
}
}
static void UpdateChroma(const fixed_y_t* src1, const fixed_y_t* src2,
fixed_t* dst, int uv_w, int rgb_bit_depth,
SharpYuvTransferFunctionType transfer_type) {
int i;
for (i = 0; i < uv_w; ++i) {
const int r =
ScaleDown(src1[0 * uv_w + 0], src1[0 * uv_w + 1], src2[0 * uv_w + 0],
src2[0 * uv_w + 1], rgb_bit_depth, transfer_type);
const int g =
ScaleDown(src1[2 * uv_w + 0], src1[2 * uv_w + 1], src2[2 * uv_w + 0],
src2[2 * uv_w + 1], rgb_bit_depth, transfer_type);
const int b =
ScaleDown(src1[4 * uv_w + 0], src1[4 * uv_w + 1], src2[4 * uv_w + 0],
src2[4 * uv_w + 1], rgb_bit_depth, transfer_type);
const int W = RGBToGray(r, g, b);
dst[0 * uv_w] = (fixed_t)(r - W);
dst[1 * uv_w] = (fixed_t)(g - W);
dst[2 * uv_w] = (fixed_t)(b - W);
dst += 1;
src1 += 2;
src2 += 2;
}
}
static void StoreGray(const fixed_y_t* rgb, fixed_y_t* y, int w) {
int i;
assert(w > 0);
for (i = 0; i < w; ++i) {
y[i] = RGBToGray(rgb[0 * w + i], rgb[1 * w + i], rgb[2 * w + i]);
}
}
//------------------------------------------------------------------------------
static WEBP_INLINE fixed_y_t Filter2(int A, int B, int W0, int bit_depth) {
const int v0 = (A * 3 + B + 2) >> 2;
return clip_bit_depth(v0 + W0, bit_depth);
}
//------------------------------------------------------------------------------
static WEBP_INLINE int Shift(int v, int shift) {
return (shift >= 0) ? (v << shift) : (v >> -shift);
}
static void ImportOneRow(const uint8_t* const r_ptr,
const uint8_t* const g_ptr,
const uint8_t* const b_ptr,
int rgb_step,
int rgb_bit_depth,
int pic_width,
fixed_y_t* const dst) {
// Convert the rgb_step from a number of bytes to a number of uint8_t or
// uint16_t values depending the bit depth.
const int step = (rgb_bit_depth > 8) ? rgb_step / 2 : rgb_step;
int i;
const int w = (pic_width + 1) & ~1;
for (i = 0; i < pic_width; ++i) {
const int off = i * step;
const int shift = GetPrecisionShift(rgb_bit_depth);
if (rgb_bit_depth == 8) {
dst[i + 0 * w] = Shift(r_ptr[off], shift);
dst[i + 1 * w] = Shift(g_ptr[off], shift);
dst[i + 2 * w] = Shift(b_ptr[off], shift);
} else {
dst[i + 0 * w] = Shift(((uint16_t*)r_ptr)[off], shift);
dst[i + 1 * w] = Shift(((uint16_t*)g_ptr)[off], shift);
dst[i + 2 * w] = Shift(((uint16_t*)b_ptr)[off], shift);
}
}
if (pic_width & 1) { // replicate rightmost pixel
dst[pic_width + 0 * w] = dst[pic_width + 0 * w - 1];
dst[pic_width + 1 * w] = dst[pic_width + 1 * w - 1];
dst[pic_width + 2 * w] = dst[pic_width + 2 * w - 1];
}
}
static void InterpolateTwoRows(const fixed_y_t* const best_y,
const fixed_t* prev_uv,
const fixed_t* cur_uv,
const fixed_t* next_uv,
int w,
fixed_y_t* out1,
fixed_y_t* out2,
int rgb_bit_depth) {
const int uv_w = w >> 1;
const int len = (w - 1) >> 1; // length to filter
int k = 3;
const int bit_depth = rgb_bit_depth + GetPrecisionShift(rgb_bit_depth);
while (k-- > 0) { // process each R/G/B segments in turn
// special boundary case for i==0
out1[0] = Filter2(cur_uv[0], prev_uv[0], best_y[0], bit_depth);
out2[0] = Filter2(cur_uv[0], next_uv[0], best_y[w], bit_depth);
SharpYuvFilterRow(cur_uv, prev_uv, len, best_y + 0 + 1, out1 + 1,
bit_depth);
SharpYuvFilterRow(cur_uv, next_uv, len, best_y + w + 1, out2 + 1,
bit_depth);
// special boundary case for i == w - 1 when w is even
if (!(w & 1)) {
out1[w - 1] = Filter2(cur_uv[uv_w - 1], prev_uv[uv_w - 1],
best_y[w - 1 + 0], bit_depth);
out2[w - 1] = Filter2(cur_uv[uv_w - 1], next_uv[uv_w - 1],
best_y[w - 1 + w], bit_depth);
}
out1 += w;
out2 += w;
prev_uv += uv_w;
cur_uv += uv_w;
next_uv += uv_w;
}
}
static WEBP_INLINE int RGBToYUVComponent(int r, int g, int b,
const int coeffs[4], int sfix) {
const int srounder = 1 << (YUV_FIX + sfix - 1);
const int luma = coeffs[0] * r + coeffs[1] * g + coeffs[2] * b +
coeffs[3] + srounder;
return (luma >> (YUV_FIX + sfix));
}
static int ConvertWRGBToYUV(const fixed_y_t* best_y, const fixed_t* best_uv,
uint8_t* y_ptr, int y_stride, uint8_t* u_ptr,
int u_stride, uint8_t* v_ptr, int v_stride,
int rgb_bit_depth,
int yuv_bit_depth, int width, int height,
const SharpYuvConversionMatrix* yuv_matrix) {
int i, j;
const fixed_t* const best_uv_base = best_uv;
const int w = (width + 1) & ~1;
const int h = (height + 1) & ~1;
const int uv_w = w >> 1;
const int uv_h = h >> 1;
const int sfix = GetPrecisionShift(rgb_bit_depth);
const int yuv_max = (1 << yuv_bit_depth) - 1;
for (best_uv = best_uv_base, j = 0; j < height; ++j) {
for (i = 0; i < width; ++i) {
const int off = (i >> 1);
const int W = best_y[i];
const int r = best_uv[off + 0 * uv_w] + W;
const int g = best_uv[off + 1 * uv_w] + W;
const int b = best_uv[off + 2 * uv_w] + W;
const int y = RGBToYUVComponent(r, g, b, yuv_matrix->rgb_to_y, sfix);
if (yuv_bit_depth <= 8) {
y_ptr[i] = clip_8b(y);
} else {
((uint16_t*)y_ptr)[i] = clip(y, yuv_max);
}
}
best_y += w;
best_uv += (j & 1) * 3 * uv_w;
y_ptr += y_stride;
}
for (best_uv = best_uv_base, j = 0; j < uv_h; ++j) {
for (i = 0; i < uv_w; ++i) {
const int off = i;
// Note r, g and b values here are off by W, but a constant offset on all
// 3 components doesn't change the value of u and v with a YCbCr matrix.
const int r = best_uv[off + 0 * uv_w];
const int g = best_uv[off + 1 * uv_w];
const int b = best_uv[off + 2 * uv_w];
const int u = RGBToYUVComponent(r, g, b, yuv_matrix->rgb_to_u, sfix);
const int v = RGBToYUVComponent(r, g, b, yuv_matrix->rgb_to_v, sfix);
if (yuv_bit_depth <= 8) {
u_ptr[i] = clip_8b(u);
v_ptr[i] = clip_8b(v);
} else {
((uint16_t*)u_ptr)[i] = clip(u, yuv_max);
((uint16_t*)v_ptr)[i] = clip(v, yuv_max);
}
}
best_uv += 3 * uv_w;
u_ptr += u_stride;
v_ptr += v_stride;
}
return 1;
}
//------------------------------------------------------------------------------
// Main function
static void* SafeMalloc(uint64_t nmemb, size_t size) {
const uint64_t total_size = nmemb * (uint64_t)size;
if (total_size != (size_t)total_size) return NULL;
return malloc((size_t)total_size);
}
#define SAFE_ALLOC(W, H, T) ((T*)SafeMalloc((W) * (H), sizeof(T)))
static int DoSharpArgbToYuv(const uint8_t* r_ptr, const uint8_t* g_ptr,
const uint8_t* b_ptr, int rgb_step, int rgb_stride,
int rgb_bit_depth, uint8_t* y_ptr, int y_stride,
uint8_t* u_ptr, int u_stride, uint8_t* v_ptr,
int v_stride, int yuv_bit_depth, int width,
int height,
const SharpYuvConversionMatrix* yuv_matrix,
SharpYuvTransferFunctionType transfer_type) {
// we expand the right/bottom border if needed
const int w = (width + 1) & ~1;
const int h = (height + 1) & ~1;
const int uv_w = w >> 1;
const int uv_h = h >> 1;
uint64_t prev_diff_y_sum = ~0;
int j, iter;
// TODO(skal): allocate one big memory chunk. But for now, it's easier
// for valgrind debugging to have several chunks.
fixed_y_t* const tmp_buffer = SAFE_ALLOC(w * 3, 2, fixed_y_t); // scratch
fixed_y_t* const best_y_base = SAFE_ALLOC(w, h, fixed_y_t);
fixed_y_t* const target_y_base = SAFE_ALLOC(w, h, fixed_y_t);
fixed_y_t* const best_rgb_y = SAFE_ALLOC(w, 2, fixed_y_t);
fixed_t* const best_uv_base = SAFE_ALLOC(uv_w * 3, uv_h, fixed_t);
fixed_t* const target_uv_base = SAFE_ALLOC(uv_w * 3, uv_h, fixed_t);
fixed_t* const best_rgb_uv = SAFE_ALLOC(uv_w * 3, 1, fixed_t);
fixed_y_t* best_y = best_y_base;
fixed_y_t* target_y = target_y_base;
fixed_t* best_uv = best_uv_base;
fixed_t* target_uv = target_uv_base;
const uint64_t diff_y_threshold = (uint64_t)(3.0 * w * h);
int ok;
assert(w > 0);
assert(h > 0);
if (best_y_base == NULL || best_uv_base == NULL ||
target_y_base == NULL || target_uv_base == NULL ||
best_rgb_y == NULL || best_rgb_uv == NULL ||
tmp_buffer == NULL) {
ok = 0;
goto End;
}
// Import RGB samples to W/RGB representation.
for (j = 0; j < height; j += 2) {
const int is_last_row = (j == height - 1);
fixed_y_t* const src1 = tmp_buffer + 0 * w;
fixed_y_t* const src2 = tmp_buffer + 3 * w;
// prepare two rows of input
ImportOneRow(r_ptr, g_ptr, b_ptr, rgb_step, rgb_bit_depth, width,
src1);
if (!is_last_row) {
ImportOneRow(r_ptr + rgb_stride, g_ptr + rgb_stride, b_ptr + rgb_stride,
rgb_step, rgb_bit_depth, width, src2);
} else {
memcpy(src2, src1, 3 * w * sizeof(*src2));
}
StoreGray(src1, best_y + 0, w);
StoreGray(src2, best_y + w, w);
UpdateW(src1, target_y, w, rgb_bit_depth, transfer_type);
UpdateW(src2, target_y + w, w, rgb_bit_depth, transfer_type);
UpdateChroma(src1, src2, target_uv, uv_w, rgb_bit_depth, transfer_type);
memcpy(best_uv, target_uv, 3 * uv_w * sizeof(*best_uv));
best_y += 2 * w;
best_uv += 3 * uv_w;
target_y += 2 * w;
target_uv += 3 * uv_w;
r_ptr += 2 * rgb_stride;
g_ptr += 2 * rgb_stride;
b_ptr += 2 * rgb_stride;
}
// Iterate and resolve clipping conflicts.
for (iter = 0; iter < kNumIterations; ++iter) {
const fixed_t* cur_uv = best_uv_base;
const fixed_t* prev_uv = best_uv_base;
uint64_t diff_y_sum = 0;
best_y = best_y_base;
best_uv = best_uv_base;
target_y = target_y_base;
target_uv = target_uv_base;
for (j = 0; j < h; j += 2) {
fixed_y_t* const src1 = tmp_buffer + 0 * w;
fixed_y_t* const src2 = tmp_buffer + 3 * w;
{
const fixed_t* const next_uv = cur_uv + ((j < h - 2) ? 3 * uv_w : 0);
InterpolateTwoRows(best_y, prev_uv, cur_uv, next_uv, w,
src1, src2, rgb_bit_depth);
prev_uv = cur_uv;
cur_uv = next_uv;
}
UpdateW(src1, best_rgb_y + 0 * w, w, rgb_bit_depth, transfer_type);
UpdateW(src2, best_rgb_y + 1 * w, w, rgb_bit_depth, transfer_type);
UpdateChroma(src1, src2, best_rgb_uv, uv_w, rgb_bit_depth, transfer_type);
// update two rows of Y and one row of RGB
diff_y_sum +=
SharpYuvUpdateY(target_y, best_rgb_y, best_y, 2 * w,
rgb_bit_depth + GetPrecisionShift(rgb_bit_depth));
SharpYuvUpdateRGB(target_uv, best_rgb_uv, best_uv, 3 * uv_w);
best_y += 2 * w;
best_uv += 3 * uv_w;
target_y += 2 * w;
target_uv += 3 * uv_w;
}
// test exit condition
if (iter > 0) {
if (diff_y_sum < diff_y_threshold) break;
if (diff_y_sum > prev_diff_y_sum) break;
}
prev_diff_y_sum = diff_y_sum;
}
// final reconstruction
ok = ConvertWRGBToYUV(best_y_base, best_uv_base, y_ptr, y_stride, u_ptr,
u_stride, v_ptr, v_stride, rgb_bit_depth, yuv_bit_depth,
width, height, yuv_matrix);
End:
free(best_y_base);
free(best_uv_base);
free(target_y_base);
free(target_uv_base);
free(best_rgb_y);
free(best_rgb_uv);
free(tmp_buffer);
return ok;
}
#undef SAFE_ALLOC
#if defined(WEBP_USE_THREAD) && !defined(_WIN32)
#include <pthread.h> // NOLINT
#define LOCK_ACCESS \
static pthread_mutex_t sharpyuv_lock = PTHREAD_MUTEX_INITIALIZER; \
if (pthread_mutex_lock(&sharpyuv_lock)) return
#define UNLOCK_ACCESS_AND_RETURN \
do { \
(void)pthread_mutex_unlock(&sharpyuv_lock); \
return; \
} while (0)
#else // !(defined(WEBP_USE_THREAD) && !defined(_WIN32))
#define LOCK_ACCESS do {} while (0)
#define UNLOCK_ACCESS_AND_RETURN return
#endif // defined(WEBP_USE_THREAD) && !defined(_WIN32)
// Hidden exported init function.
// By default SharpYuvConvert calls it with SharpYuvGetCPUInfo. If needed,
// users can declare it as extern and call it with an alternate VP8CPUInfo
// function.
extern VP8CPUInfo SharpYuvGetCPUInfo;
SHARPYUV_EXTERN void SharpYuvInit(VP8CPUInfo cpu_info_func);
void SharpYuvInit(VP8CPUInfo cpu_info_func) {
static volatile VP8CPUInfo sharpyuv_last_cpuinfo_used =
(VP8CPUInfo)&sharpyuv_last_cpuinfo_used;
LOCK_ACCESS;
// Only update SharpYuvGetCPUInfo when called from external code to avoid a
// race on reading the value in SharpYuvConvert().
if (cpu_info_func != (VP8CPUInfo)&SharpYuvGetCPUInfo) {
SharpYuvGetCPUInfo = cpu_info_func;
}
if (sharpyuv_last_cpuinfo_used == SharpYuvGetCPUInfo) {
UNLOCK_ACCESS_AND_RETURN;
}
SharpYuvInitDsp();
SharpYuvInitGammaTables();
sharpyuv_last_cpuinfo_used = SharpYuvGetCPUInfo;
UNLOCK_ACCESS_AND_RETURN;
}
int SharpYuvConvert(const void* r_ptr, const void* g_ptr, const void* b_ptr,
int rgb_step, int rgb_stride, int rgb_bit_depth,
void* y_ptr, int y_stride, void* u_ptr, int u_stride,
void* v_ptr, int v_stride, int yuv_bit_depth, int width,
int height, const SharpYuvConversionMatrix* yuv_matrix) {
SharpYuvOptions options;
options.yuv_matrix = yuv_matrix;
options.transfer_type = kSharpYuvTransferFunctionSrgb;
return SharpYuvConvertWithOptions(
r_ptr, g_ptr, b_ptr, rgb_step, rgb_stride, rgb_bit_depth, y_ptr, y_stride,
u_ptr, u_stride, v_ptr, v_stride, yuv_bit_depth, width, height, &options);
}
int SharpYuvOptionsInitInternal(const SharpYuvConversionMatrix* yuv_matrix,
SharpYuvOptions* options, int version) {
const int major = (version >> 24);
const int minor = (version >> 16) & 0xff;
if (options == NULL || yuv_matrix == NULL ||
(major == SHARPYUV_VERSION_MAJOR && major == 0 &&
minor != SHARPYUV_VERSION_MINOR) ||
(major != SHARPYUV_VERSION_MAJOR)) {
return 0;
}
options->yuv_matrix = yuv_matrix;
options->transfer_type = kSharpYuvTransferFunctionSrgb;
return 1;
}
int SharpYuvConvertWithOptions(const void* r_ptr, const void* g_ptr,
const void* b_ptr, int rgb_step, int rgb_stride,
int rgb_bit_depth, void* y_ptr, int y_stride,
void* u_ptr, int u_stride, void* v_ptr,
int v_stride, int yuv_bit_depth, int width,
int height, const SharpYuvOptions* options) {
const SharpYuvConversionMatrix* yuv_matrix = options->yuv_matrix;
SharpYuvTransferFunctionType transfer_type = options->transfer_type;
SharpYuvConversionMatrix scaled_matrix;
const int rgb_max = (1 << rgb_bit_depth) - 1;
const int rgb_round = 1 << (rgb_bit_depth - 1);
const int yuv_max = (1 << yuv_bit_depth) - 1;
const int sfix = GetPrecisionShift(rgb_bit_depth);
if (width < 1 || height < 1 || width == INT_MAX || height == INT_MAX ||
r_ptr == NULL || g_ptr == NULL || b_ptr == NULL || y_ptr == NULL ||
u_ptr == NULL || v_ptr == NULL) {
return 0;
}
if (rgb_bit_depth != 8 && rgb_bit_depth != 10 && rgb_bit_depth != 12 &&
rgb_bit_depth != 16) {
return 0;
}
if (yuv_bit_depth != 8 && yuv_bit_depth != 10 && yuv_bit_depth != 12) {
return 0;
}
if (rgb_bit_depth > 8 && (rgb_step % 2 != 0 || rgb_stride %2 != 0)) {
// Step/stride should be even for uint16_t buffers.
return 0;
}
if (yuv_bit_depth > 8 &&
(y_stride % 2 != 0 || u_stride % 2 != 0 || v_stride % 2 != 0)) {
// Stride should be even for uint16_t buffers.
return 0;
}
// The address of the function pointer is used to avoid a read race.
SharpYuvInit((VP8CPUInfo)&SharpYuvGetCPUInfo);
// Add scaling factor to go from rgb_bit_depth to yuv_bit_depth, to the
// rgb->yuv conversion matrix.
if (rgb_bit_depth == yuv_bit_depth) {
memcpy(&scaled_matrix, yuv_matrix, sizeof(scaled_matrix));
} else {
int i;
for (i = 0; i < 3; ++i) {
scaled_matrix.rgb_to_y[i] =
(yuv_matrix->rgb_to_y[i] * yuv_max + rgb_round) / rgb_max;
scaled_matrix.rgb_to_u[i] =
(yuv_matrix->rgb_to_u[i] * yuv_max + rgb_round) / rgb_max;
scaled_matrix.rgb_to_v[i] =
(yuv_matrix->rgb_to_v[i] * yuv_max + rgb_round) / rgb_max;
}
}
// Also incorporate precision change scaling.
scaled_matrix.rgb_to_y[3] = Shift(yuv_matrix->rgb_to_y[3], sfix);
scaled_matrix.rgb_to_u[3] = Shift(yuv_matrix->rgb_to_u[3], sfix);
scaled_matrix.rgb_to_v[3] = Shift(yuv_matrix->rgb_to_v[3], sfix);
return DoSharpArgbToYuv(r_ptr, g_ptr, b_ptr, rgb_step, rgb_stride,
rgb_bit_depth, y_ptr, y_stride, u_ptr, u_stride,
v_ptr, v_stride, yuv_bit_depth, width, height,
&scaled_matrix, transfer_type);
}
//------------------------------------------------------------------------------
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Sharp RGB to YUV conversion.
#ifndef WEBP_SHARPYUV_SHARPYUV_H_
#define WEBP_SHARPYUV_SHARPYUV_H_
#ifdef __cplusplus
extern "C" {
#endif
#ifndef SHARPYUV_EXTERN
#ifdef WEBP_EXTERN
#define SHARPYUV_EXTERN WEBP_EXTERN
#else
// This explicitly marks library functions and allows for changing the
// signature for e.g., Windows DLL builds.
#if defined(__GNUC__) && __GNUC__ >= 4
#define SHARPYUV_EXTERN extern __attribute__((visibility("default")))
#else
#if defined(_MSC_VER) && defined(WEBP_DLL)
#define SHARPYUV_EXTERN __declspec(dllexport)
#else
#define SHARPYUV_EXTERN extern
#endif /* _MSC_VER && WEBP_DLL */
#endif /* __GNUC__ >= 4 */
#endif /* WEBP_EXTERN */
#endif /* SHARPYUV_EXTERN */
#ifndef SHARPYUV_INLINE
#ifdef WEBP_INLINE
#define SHARPYUV_INLINE WEBP_INLINE
#else
#ifndef _MSC_VER
#if defined(__cplusplus) || !defined(__STRICT_ANSI__) || \
(defined(__STDC_VERSION__) && __STDC_VERSION__ >= 199901L)
#define SHARPYUV_INLINE inline
#else
#define SHARPYUV_INLINE
#endif
#else
#define SHARPYUV_INLINE __forceinline
#endif /* _MSC_VER */
#endif /* WEBP_INLINE */
#endif /* SHARPYUV_INLINE */
// SharpYUV API version following the convention from semver.org
#define SHARPYUV_VERSION_MAJOR 0
#define SHARPYUV_VERSION_MINOR 4
#define SHARPYUV_VERSION_PATCH 0
// Version as a uint32_t. The major number is the high 8 bits.
// The minor number is the middle 8 bits. The patch number is the low 16 bits.
#define SHARPYUV_MAKE_VERSION(MAJOR, MINOR, PATCH) \
(((MAJOR) << 24) | ((MINOR) << 16) | (PATCH))
#define SHARPYUV_VERSION \
SHARPYUV_MAKE_VERSION(SHARPYUV_VERSION_MAJOR, SHARPYUV_VERSION_MINOR, \
SHARPYUV_VERSION_PATCH)
// Returns the library's version number, packed in hexadecimal. See
// SHARPYUV_VERSION.
SHARPYUV_EXTERN int SharpYuvGetVersion(void);
// RGB to YUV conversion matrix, in 16 bit fixed point.
// y = rgb_to_y[0] * r + rgb_to_y[1] * g + rgb_to_y[2] * b + rgb_to_y[3]
// u = rgb_to_u[0] * r + rgb_to_u[1] * g + rgb_to_u[2] * b + rgb_to_u[3]
// v = rgb_to_v[0] * r + rgb_to_v[1] * g + rgb_to_v[2] * b + rgb_to_v[3]
// Then y, u and v values are divided by 1<<16 and rounded.
typedef struct {
int rgb_to_y[4];
int rgb_to_u[4];
int rgb_to_v[4];
} SharpYuvConversionMatrix;
typedef struct SharpYuvOptions SharpYuvOptions;
// Enums for transfer functions, as defined in H.273,
// https://www.itu.int/rec/T-REC-H.273-202107-I/en
typedef enum SharpYuvTransferFunctionType {
// 0 is reserved
kSharpYuvTransferFunctionBt709 = 1,
// 2 is unspecified
// 3 is reserved
kSharpYuvTransferFunctionBt470M = 4,
kSharpYuvTransferFunctionBt470Bg = 5,
kSharpYuvTransferFunctionBt601 = 6,
kSharpYuvTransferFunctionSmpte240 = 7,
kSharpYuvTransferFunctionLinear = 8,
kSharpYuvTransferFunctionLog100 = 9,
kSharpYuvTransferFunctionLog100_Sqrt10 = 10,
kSharpYuvTransferFunctionIec61966 = 11,
kSharpYuvTransferFunctionBt1361 = 12,
kSharpYuvTransferFunctionSrgb = 13,
kSharpYuvTransferFunctionBt2020_10Bit = 14,
kSharpYuvTransferFunctionBt2020_12Bit = 15,
kSharpYuvTransferFunctionSmpte2084 = 16, // PQ
kSharpYuvTransferFunctionSmpte428 = 17,
kSharpYuvTransferFunctionHlg = 18,
kSharpYuvTransferFunctionNum
} SharpYuvTransferFunctionType;
// Converts RGB to YUV420 using a downsampling algorithm that minimizes
// artefacts caused by chroma subsampling.
// This is slower than standard downsampling (averaging of 4 UV values).
// Assumes that the image will be upsampled using a bilinear filter. If nearest
// neighbor is used instead, the upsampled image might look worse than with
// standard downsampling.
// r_ptr, g_ptr, b_ptr: pointers to the source r, g and b channels. Should point
// to uint8_t buffers if rgb_bit_depth is 8, or uint16_t buffers otherwise.
// rgb_step: distance in bytes between two horizontally adjacent pixels on the
// r, g and b channels. If rgb_bit_depth is > 8, it should be a
// multiple of 2.
// rgb_stride: distance in bytes between two vertically adjacent pixels on the
// r, g, and b channels. If rgb_bit_depth is > 8, it should be a
// multiple of 2.
// rgb_bit_depth: number of bits for each r/g/b value. One of: 8, 10, 12, 16.
// Note: 16 bit input is truncated to 14 bits before conversion to yuv.
// yuv_bit_depth: number of bits for each y/u/v value. One of: 8, 10, 12.
// y_ptr, u_ptr, v_ptr: pointers to the destination y, u and v channels. Should
// point to uint8_t buffers if yuv_bit_depth is 8, or uint16_t buffers
// otherwise.
// y_stride, u_stride, v_stride: distance in bytes between two vertically
// adjacent pixels on the y, u and v channels. If yuv_bit_depth > 8, they
// should be multiples of 2.
// width, height: width and height of the image in pixels
// This function calls SharpYuvConvertWithOptions with a default transfer
// function of kSharpYuvTransferFunctionSrgb.
SHARPYUV_EXTERN int SharpYuvConvert(const void* r_ptr, const void* g_ptr,
const void* b_ptr, int rgb_step,
int rgb_stride, int rgb_bit_depth,
void* y_ptr, int y_stride, void* u_ptr,
int u_stride, void* v_ptr, int v_stride,
int yuv_bit_depth, int width, int height,
const SharpYuvConversionMatrix* yuv_matrix);
struct SharpYuvOptions {
// This matrix cannot be NULL and can be initialized by
// SharpYuvComputeConversionMatrix.
const SharpYuvConversionMatrix* yuv_matrix;
SharpYuvTransferFunctionType transfer_type;
};
// Internal, version-checked, entry point
SHARPYUV_EXTERN int SharpYuvOptionsInitInternal(const SharpYuvConversionMatrix*,
SharpYuvOptions*, int);
// Should always be called, to initialize a fresh SharpYuvOptions
// structure before modification. SharpYuvOptionsInit() must have succeeded
// before using the 'options' object.
static SHARPYUV_INLINE int SharpYuvOptionsInit(
const SharpYuvConversionMatrix* yuv_matrix, SharpYuvOptions* options) {
return SharpYuvOptionsInitInternal(yuv_matrix, options, SHARPYUV_VERSION);
}
SHARPYUV_EXTERN int SharpYuvConvertWithOptions(
const void* r_ptr, const void* g_ptr, const void* b_ptr, int rgb_step,
int rgb_stride, int rgb_bit_depth, void* y_ptr, int y_stride, void* u_ptr,
int u_stride, void* v_ptr, int v_stride, int yuv_bit_depth, int width,
int height, const SharpYuvOptions* options);
// TODO(b/194336375): Add YUV444 to YUV420 conversion. Maybe also add 422
// support (it's rarely used in practice, especially for images).
#ifdef __cplusplus
} // extern "C"
#endif
#endif // WEBP_SHARPYUV_SHARPYUV_H_
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
#include "sharpyuv/sharpyuv_cpu.h"
// Include src/dsp/cpu.c to create SharpYuvGetCPUInfo from VP8GetCPUInfo. The
// function pointer is renamed in sharpyuv_cpu.h.
#include "src/dsp/cpu.c"
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
#ifndef WEBP_SHARPYUV_SHARPYUV_CPU_H_
#define WEBP_SHARPYUV_SHARPYUV_CPU_H_
#include "sharpyuv/sharpyuv.h"
// Avoid exporting SharpYuvGetCPUInfo in shared object / DLL builds.
// SharpYuvInit() replaces the use of the function pointer.
#undef WEBP_EXTERN
#define WEBP_EXTERN extern
#define VP8GetCPUInfo SharpYuvGetCPUInfo
#include "src/dsp/cpu.h"
#endif // WEBP_SHARPYUV_SHARPYUV_CPU_H_
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Colorspace utilities.
#include "sharpyuv/sharpyuv_csp.h"
#include <assert.h>
#include <math.h>
#include <stddef.h>
static int ToFixed16(float f) { return (int)floor(f * (1 << 16) + 0.5f); }
void SharpYuvComputeConversionMatrix(const SharpYuvColorSpace* yuv_color_space,
SharpYuvConversionMatrix* matrix) {
const float kr = yuv_color_space->kr;
const float kb = yuv_color_space->kb;
const float kg = 1.0f - kr - kb;
const float cr = 0.5f / (1.0f - kb);
const float cb = 0.5f / (1.0f - kr);
const int shift = yuv_color_space->bit_depth - 8;
const float denom = (float)((1 << yuv_color_space->bit_depth) - 1);
float scale_y = 1.0f;
float add_y = 0.0f;
float scale_u = cr;
float scale_v = cb;
float add_uv = (float)(128 << shift);
assert(yuv_color_space->bit_depth >= 8);
if (yuv_color_space->range == kSharpYuvRangeLimited) {
scale_y *= (219 << shift) / denom;
scale_u *= (224 << shift) / denom;
scale_v *= (224 << shift) / denom;
add_y = (float)(16 << shift);
}
matrix->rgb_to_y[0] = ToFixed16(kr * scale_y);
matrix->rgb_to_y[1] = ToFixed16(kg * scale_y);
matrix->rgb_to_y[2] = ToFixed16(kb * scale_y);
matrix->rgb_to_y[3] = ToFixed16(add_y);
matrix->rgb_to_u[0] = ToFixed16(-kr * scale_u);
matrix->rgb_to_u[1] = ToFixed16(-kg * scale_u);
matrix->rgb_to_u[2] = ToFixed16((1 - kb) * scale_u);
matrix->rgb_to_u[3] = ToFixed16(add_uv);
matrix->rgb_to_v[0] = ToFixed16((1 - kr) * scale_v);
matrix->rgb_to_v[1] = ToFixed16(-kg * scale_v);
matrix->rgb_to_v[2] = ToFixed16(-kb * scale_v);
matrix->rgb_to_v[3] = ToFixed16(add_uv);
}
// Matrices are in YUV_FIX fixed point precision.
// WebP's matrix, similar but not identical to kRec601LimitedMatrix.
static const SharpYuvConversionMatrix kWebpMatrix = {
{16839, 33059, 6420, 16 << 16},
{-9719, -19081, 28800, 128 << 16},
{28800, -24116, -4684, 128 << 16},
};
// Kr=0.2990f Kb=0.1140f bits=8 range=kSharpYuvRangeLimited
static const SharpYuvConversionMatrix kRec601LimitedMatrix = {
{16829, 33039, 6416, 16 << 16},
{-9714, -19071, 28784, 128 << 16},
{28784, -24103, -4681, 128 << 16},
};
// Kr=0.2990f Kb=0.1140f bits=8 range=kSharpYuvRangeFull
static const SharpYuvConversionMatrix kRec601FullMatrix = {
{19595, 38470, 7471, 0},
{-11058, -21710, 32768, 128 << 16},
{32768, -27439, -5329, 128 << 16},
};
// Kr=0.2126f Kb=0.0722f bits=8 range=kSharpYuvRangeLimited
static const SharpYuvConversionMatrix kRec709LimitedMatrix = {
{11966, 40254, 4064, 16 << 16},
{-6596, -22189, 28784, 128 << 16},
{28784, -26145, -2639, 128 << 16},
};
// Kr=0.2126f Kb=0.0722f bits=8 range=kSharpYuvRangeFull
static const SharpYuvConversionMatrix kRec709FullMatrix = {
{13933, 46871, 4732, 0},
{-7509, -25259, 32768, 128 << 16},
{32768, -29763, -3005, 128 << 16},
};
const SharpYuvConversionMatrix* SharpYuvGetConversionMatrix(
SharpYuvMatrixType matrix_type) {
switch (matrix_type) {
case kSharpYuvMatrixWebp:
return &kWebpMatrix;
case kSharpYuvMatrixRec601Limited:
return &kRec601LimitedMatrix;
case kSharpYuvMatrixRec601Full:
return &kRec601FullMatrix;
case kSharpYuvMatrixRec709Limited:
return &kRec709LimitedMatrix;
case kSharpYuvMatrixRec709Full:
return &kRec709FullMatrix;
case kSharpYuvMatrixNum:
return NULL;
}
return NULL;
}
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Colorspace utilities.
#ifndef WEBP_SHARPYUV_SHARPYUV_CSP_H_
#define WEBP_SHARPYUV_SHARPYUV_CSP_H_
#include "sharpyuv/sharpyuv.h"
#ifdef __cplusplus
extern "C" {
#endif
// Range of YUV values.
typedef enum {
kSharpYuvRangeFull, // YUV values between [0;255] (for 8 bit)
kSharpYuvRangeLimited // Y in [16;235], YUV in [16;240] (for 8 bit)
} SharpYuvRange;
// Constants that define a YUV color space.
typedef struct {
// Kr and Kb are defined such that:
// Y = Kr * r + Kg * g + Kb * b where Kg = 1 - Kr - Kb.
float kr;
float kb;
int bit_depth; // 8, 10 or 12
SharpYuvRange range;
} SharpYuvColorSpace;
// Fills in 'matrix' for the given YUVColorSpace.
SHARPYUV_EXTERN void SharpYuvComputeConversionMatrix(
const SharpYuvColorSpace* yuv_color_space,
SharpYuvConversionMatrix* matrix);
// Enums for precomputed conversion matrices.
typedef enum {
kSharpYuvMatrixWebp = 0,
kSharpYuvMatrixRec601Limited,
kSharpYuvMatrixRec601Full,
kSharpYuvMatrixRec709Limited,
kSharpYuvMatrixRec709Full,
kSharpYuvMatrixNum
} SharpYuvMatrixType;
// Returns a pointer to a matrix for one of the predefined colorspaces.
SHARPYUV_EXTERN const SharpYuvConversionMatrix* SharpYuvGetConversionMatrix(
SharpYuvMatrixType matrix_type);
#ifdef __cplusplus
} // extern "C"
#endif
#endif // WEBP_SHARPYUV_SHARPYUV_CSP_H_
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Speed-critical functions for Sharp YUV.
//
// Author: Skal (pascal.massimino@gmail.com)
#include "sharpyuv/sharpyuv_dsp.h"
#include <assert.h>
#include <stdlib.h>
#include "sharpyuv/sharpyuv_cpu.h"
//-----------------------------------------------------------------------------
#if !WEBP_NEON_OMIT_C_CODE
static uint16_t clip(int v, int max) {
return (v < 0) ? 0 : (v > max) ? max : (uint16_t)v;
}
static uint64_t SharpYuvUpdateY_C(const uint16_t* ref, const uint16_t* src,
uint16_t* dst, int len, int bit_depth) {
uint64_t diff = 0;
int i;
const int max_y = (1 << bit_depth) - 1;
for (i = 0; i < len; ++i) {
const int diff_y = ref[i] - src[i];
const int new_y = (int)dst[i] + diff_y;
dst[i] = clip(new_y, max_y);
diff += (uint64_t)abs(diff_y);
}
return diff;
}
static void SharpYuvUpdateRGB_C(const int16_t* ref, const int16_t* src,
int16_t* dst, int len) {
int i;
for (i = 0; i < len; ++i) {
const int diff_uv = ref[i] - src[i];
dst[i] += diff_uv;
}
}
static void SharpYuvFilterRow_C(const int16_t* A, const int16_t* B, int len,
const uint16_t* best_y, uint16_t* out,
int bit_depth) {
int i;
const int max_y = (1 << bit_depth) - 1;
for (i = 0; i < len; ++i, ++A, ++B) {
const int v0 = (A[0] * 9 + A[1] * 3 + B[0] * 3 + B[1] + 8) >> 4;
const int v1 = (A[1] * 9 + A[0] * 3 + B[1] * 3 + B[0] + 8) >> 4;
out[2 * i + 0] = clip(best_y[2 * i + 0] + v0, max_y);
out[2 * i + 1] = clip(best_y[2 * i + 1] + v1, max_y);
}
}
#endif // !WEBP_NEON_OMIT_C_CODE
//-----------------------------------------------------------------------------
uint64_t (*SharpYuvUpdateY)(const uint16_t* src, const uint16_t* ref,
uint16_t* dst, int len, int bit_depth);
void (*SharpYuvUpdateRGB)(const int16_t* src, const int16_t* ref, int16_t* dst,
int len);
void (*SharpYuvFilterRow)(const int16_t* A, const int16_t* B, int len,
const uint16_t* best_y, uint16_t* out,
int bit_depth);
extern VP8CPUInfo SharpYuvGetCPUInfo;
extern void InitSharpYuvSSE2(void);
extern void InitSharpYuvNEON(void);
void SharpYuvInitDsp(void) {
#if !WEBP_NEON_OMIT_C_CODE
SharpYuvUpdateY = SharpYuvUpdateY_C;
SharpYuvUpdateRGB = SharpYuvUpdateRGB_C;
SharpYuvFilterRow = SharpYuvFilterRow_C;
#endif
if (SharpYuvGetCPUInfo != NULL) {
#if defined(WEBP_HAVE_SSE2)
if (SharpYuvGetCPUInfo(kSSE2)) {
InitSharpYuvSSE2();
}
#endif // WEBP_HAVE_SSE2
}
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(SharpYuvGetCPUInfo != NULL && SharpYuvGetCPUInfo(kNEON))) {
InitSharpYuvNEON();
}
#endif // WEBP_HAVE_NEON
assert(SharpYuvUpdateY != NULL);
assert(SharpYuvUpdateRGB != NULL);
assert(SharpYuvFilterRow != NULL);
}
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Speed-critical functions for Sharp YUV.
#ifndef WEBP_SHARPYUV_SHARPYUV_DSP_H_
#define WEBP_SHARPYUV_SHARPYUV_DSP_H_
#include "sharpyuv/sharpyuv_cpu.h"
#include "src/webp/types.h"
extern uint64_t (*SharpYuvUpdateY)(const uint16_t* src, const uint16_t* ref,
uint16_t* dst, int len, int bit_depth);
extern void (*SharpYuvUpdateRGB)(const int16_t* src, const int16_t* ref,
int16_t* dst, int len);
extern void (*SharpYuvFilterRow)(const int16_t* A, const int16_t* B, int len,
const uint16_t* best_y, uint16_t* out,
int bit_depth);
void SharpYuvInitDsp(void);
#endif // WEBP_SHARPYUV_SHARPYUV_DSP_H_
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Gamma correction utilities.
#include "sharpyuv/sharpyuv_gamma.h"
#include <assert.h>
#include <float.h>
#include <math.h>
#include "src/webp/types.h"
// Gamma correction compensates loss of resolution during chroma subsampling.
// Size of pre-computed table for converting from gamma to linear.
#define GAMMA_TO_LINEAR_TAB_BITS 10
#define GAMMA_TO_LINEAR_TAB_SIZE (1 << GAMMA_TO_LINEAR_TAB_BITS)
static uint32_t kGammaToLinearTabS[GAMMA_TO_LINEAR_TAB_SIZE + 2];
#define LINEAR_TO_GAMMA_TAB_BITS 9
#define LINEAR_TO_GAMMA_TAB_SIZE (1 << LINEAR_TO_GAMMA_TAB_BITS)
static uint32_t kLinearToGammaTabS[LINEAR_TO_GAMMA_TAB_SIZE + 2];
static const double kGammaF = 1. / 0.45;
#define GAMMA_TO_LINEAR_BITS 16
static volatile int kGammaTablesSOk = 0;
void SharpYuvInitGammaTables(void) {
assert(GAMMA_TO_LINEAR_BITS <= 16);
if (!kGammaTablesSOk) {
int v;
const double a = 0.09929682680944;
const double thresh = 0.018053968510807;
const double final_scale = 1 << GAMMA_TO_LINEAR_BITS;
// Precompute gamma to linear table.
{
const double norm = 1. / GAMMA_TO_LINEAR_TAB_SIZE;
const double a_rec = 1. / (1. + a);
for (v = 0; v <= GAMMA_TO_LINEAR_TAB_SIZE; ++v) {
const double g = norm * v;
double value;
if (g <= thresh * 4.5) {
value = g / 4.5;
} else {
value = pow(a_rec * (g + a), kGammaF);
}
kGammaToLinearTabS[v] = (uint32_t)(value * final_scale + .5);
}
// to prevent small rounding errors to cause read-overflow:
kGammaToLinearTabS[GAMMA_TO_LINEAR_TAB_SIZE + 1] =
kGammaToLinearTabS[GAMMA_TO_LINEAR_TAB_SIZE];
}
// Precompute linear to gamma table.
{
const double scale = 1. / LINEAR_TO_GAMMA_TAB_SIZE;
for (v = 0; v <= LINEAR_TO_GAMMA_TAB_SIZE; ++v) {
const double g = scale * v;
double value;
if (g <= thresh) {
value = 4.5 * g;
} else {
value = (1. + a) * pow(g, 1. / kGammaF) - a;
}
kLinearToGammaTabS[v] =
(uint32_t)(final_scale * value + 0.5);
}
// to prevent small rounding errors to cause read-overflow:
kLinearToGammaTabS[LINEAR_TO_GAMMA_TAB_SIZE + 1] =
kLinearToGammaTabS[LINEAR_TO_GAMMA_TAB_SIZE];
}
kGammaTablesSOk = 1;
}
}
static WEBP_INLINE int Shift(int v, int shift) {
return (shift >= 0) ? (v << shift) : (v >> -shift);
}
static WEBP_INLINE uint32_t FixedPointInterpolation(int v, uint32_t* tab,
int tab_pos_shift_right,
int tab_value_shift) {
const uint32_t tab_pos = Shift(v, -tab_pos_shift_right);
// fractional part, in 'tab_pos_shift' fixed-point precision
const uint32_t x = v - (tab_pos << tab_pos_shift_right); // fractional part
// v0 / v1 are in kGammaToLinearBits fixed-point precision (range [0..1])
const uint32_t v0 = Shift(tab[tab_pos + 0], tab_value_shift);
const uint32_t v1 = Shift(tab[tab_pos + 1], tab_value_shift);
// Final interpolation.
const uint32_t v2 = (v1 - v0) * x; // note: v1 >= v0.
const int half =
(tab_pos_shift_right > 0) ? 1 << (tab_pos_shift_right - 1) : 0;
const uint32_t result = v0 + ((v2 + half) >> tab_pos_shift_right);
return result;
}
static uint32_t ToLinearSrgb(uint16_t v, int bit_depth) {
const int shift = GAMMA_TO_LINEAR_TAB_BITS - bit_depth;
if (shift > 0) {
return kGammaToLinearTabS[v << shift];
}
return FixedPointInterpolation(v, kGammaToLinearTabS, -shift, 0);
}
static uint16_t FromLinearSrgb(uint32_t value, int bit_depth) {
return FixedPointInterpolation(
value, kLinearToGammaTabS,
(GAMMA_TO_LINEAR_BITS - LINEAR_TO_GAMMA_TAB_BITS),
bit_depth - GAMMA_TO_LINEAR_BITS);
}
////////////////////////////////////////////////////////////////////////////////
#define CLAMP(x, low, high) \
(((x) < (low)) ? (low) : (((high) < (x)) ? (high) : (x)))
#define MIN(a, b) (((a) < (b)) ? (a) : (b))
#define MAX(a, b) (((a) > (b)) ? (a) : (b))
static WEBP_INLINE float Roundf(float x) {
if (x < 0)
return (float)ceil((double)(x - 0.5f));
else
return (float)floor((double)(x + 0.5f));
}
static WEBP_INLINE float Powf(float base, float exp) {
return (float)pow((double)base, (double)exp);
}
static WEBP_INLINE float Log10f(float x) { return (float)log10((double)x); }
static float ToLinear709(float gamma) {
if (gamma < 0.f) {
return 0.f;
} else if (gamma < 4.5f * 0.018053968510807f) {
return gamma / 4.5f;
} else if (gamma < 1.f) {
return Powf((gamma + 0.09929682680944f) / 1.09929682680944f, 1.f / 0.45f);
}
return 1.f;
}
static float FromLinear709(float linear) {
if (linear < 0.f) {
return 0.f;
} else if (linear < 0.018053968510807f) {
return linear * 4.5f;
} else if (linear < 1.f) {
return 1.09929682680944f * Powf(linear, 0.45f) - 0.09929682680944f;
}
return 1.f;
}
static float ToLinear470M(float gamma) {
return Powf(CLAMP(gamma, 0.f, 1.f), 1.f / 2.2f);
}
static float FromLinear470M(float linear) {
return Powf(CLAMP(linear, 0.f, 1.f), 2.2f);
}
static float ToLinear470Bg(float gamma) {
return Powf(CLAMP(gamma, 0.f, 1.f), 1.f / 2.8f);
}
static float FromLinear470Bg(float linear) {
return Powf(CLAMP(linear, 0.f, 1.f), 2.8f);
}
static float ToLinearSmpte240(float gamma) {
if (gamma < 0.f) {
return 0.f;
} else if (gamma < 4.f * 0.022821585529445f) {
return gamma / 4.f;
} else if (gamma < 1.f) {
return Powf((gamma + 0.111572195921731f) / 1.111572195921731f, 1.f / 0.45f);
}
return 1.f;
}
static float FromLinearSmpte240(float linear) {
if (linear < 0.f) {
return 0.f;
} else if (linear < 0.022821585529445f) {
return linear * 4.f;
} else if (linear < 1.f) {
return 1.111572195921731f * Powf(linear, 0.45f) - 0.111572195921731f;
}
return 1.f;
}
static float ToLinearLog100(float gamma) {
return (gamma < 0.01f) ? 0.0f : 1.0f + Log10f(MIN(gamma, 1.f)) / 2.0f;
}
static float FromLinearLog100(float linear) {
// The function is non-bijective so choose the middle of [0, 0.01].
const float mid_interval = 0.01f / 2.f;
return (linear <= 0.0f) ? mid_interval
: Powf(10.0f, 2.f * (MIN(linear, 1.f) - 1.0f));
}
static float ToLinearLog100Sqrt10(float gamma) {
return (gamma < 0.00316227766f) ? 0.0f
: 1.0f + Log10f(MIN(gamma, 1.f)) / 2.5f;
}
static float FromLinearLog100Sqrt10(float linear) {
// The function is non-bijective so choose the middle of [0, 0.00316227766f[.
const float mid_interval = 0.00316227766f / 2.f;
return (linear < 0.0f) ? mid_interval
: Powf(10.0f, 2.5f * (MIN(linear, 1.f) - 1.0f));
}
static float ToLinearIec61966(float gamma) {
if (gamma <= -4.5f * 0.018053968510807f) {
return Powf((-gamma + 0.09929682680944f) / -1.09929682680944f, 1.f / 0.45f);
} else if (gamma < 4.5f * 0.018053968510807f) {
return gamma / 4.5f;
}
return Powf((gamma + 0.09929682680944f) / 1.09929682680944f, 1.f / 0.45f);
}
static float FromLinearIec61966(float linear) {
if (linear <= -0.018053968510807f) {
return -1.09929682680944f * Powf(-linear, 0.45f) + 0.09929682680944f;
} else if (linear < 0.018053968510807f) {
return linear * 4.5f;
}
return 1.09929682680944f * Powf(linear, 0.45f) - 0.09929682680944f;
}
static float ToLinearBt1361(float gamma) {
if (gamma < -0.25f) {
return -0.25f;
} else if (gamma < 0.f) {
return Powf((gamma - 0.02482420670236f) / -0.27482420670236f, 1.f / 0.45f) /
-4.f;
} else if (gamma < 4.5f * 0.018053968510807f) {
return gamma / 4.5f;
} else if (gamma < 1.f) {
return Powf((gamma + 0.09929682680944f) / 1.09929682680944f, 1.f / 0.45f);
}
return 1.f;
}
static float FromLinearBt1361(float linear) {
if (linear < -0.25f) {
return -0.25f;
} else if (linear < 0.f) {
return -0.27482420670236f * Powf(-4.f * linear, 0.45f) + 0.02482420670236f;
} else if (linear < 0.018053968510807f) {
return linear * 4.5f;
} else if (linear < 1.f) {
return 1.09929682680944f * Powf(linear, 0.45f) - 0.09929682680944f;
}
return 1.f;
}
static float ToLinearPq(float gamma) {
if (gamma > 0.f) {
const float pow_gamma = Powf(gamma, 32.f / 2523.f);
const float num = MAX(pow_gamma - 107.f / 128.f, 0.0f);
const float den = MAX(2413.f / 128.f - 2392.f / 128.f * pow_gamma, FLT_MIN);
return Powf(num / den, 4096.f / 653.f);
}
return 0.f;
}
static float FromLinearPq(float linear) {
if (linear > 0.f) {
const float pow_linear = Powf(linear, 653.f / 4096.f);
const float num = 107.f / 128.f + 2413.f / 128.f * pow_linear;
const float den = 1.0f + 2392.f / 128.f * pow_linear;
return Powf(num / den, 2523.f / 32.f);
}
return 0.f;
}
static float ToLinearSmpte428(float gamma) {
return Powf(0.91655527974030934f * MAX(gamma, 0.f), 1.f / 2.6f);
}
static float FromLinearSmpte428(float linear) {
return Powf(MAX(linear, 0.f), 2.6f) / 0.91655527974030934f;
}
// Conversion in BT.2100 requires RGB info. Simplify to gamma correction here.
static float ToLinearHlg(float gamma) {
if (gamma < 0.f) {
return 0.f;
} else if (gamma <= 0.5f) {
return Powf((gamma * gamma) * (1.f / 3.f), 1.2f);
}
return Powf((expf((gamma - 0.55991073f) / 0.17883277f) + 0.28466892f) / 12.0f,
1.2f);
}
static float FromLinearHlg(float linear) {
linear = Powf(linear, 1.f / 1.2f);
if (linear < 0.f) {
return 0.f;
} else if (linear <= (1.f / 12.f)) {
return sqrtf(3.f * linear);
}
return 0.17883277f * logf(12.f * linear - 0.28466892f) + 0.55991073f;
}
uint32_t SharpYuvGammaToLinear(uint16_t v, int bit_depth,
SharpYuvTransferFunctionType transfer_type) {
float v_float, linear;
if (transfer_type == kSharpYuvTransferFunctionSrgb) {
return ToLinearSrgb(v, bit_depth);
}
v_float = (float)v / ((1 << bit_depth) - 1);
switch (transfer_type) {
case kSharpYuvTransferFunctionBt709:
case kSharpYuvTransferFunctionBt601:
case kSharpYuvTransferFunctionBt2020_10Bit:
case kSharpYuvTransferFunctionBt2020_12Bit:
linear = ToLinear709(v_float);
break;
case kSharpYuvTransferFunctionBt470M:
linear = ToLinear470M(v_float);
break;
case kSharpYuvTransferFunctionBt470Bg:
linear = ToLinear470Bg(v_float);
break;
case kSharpYuvTransferFunctionSmpte240:
linear = ToLinearSmpte240(v_float);
break;
case kSharpYuvTransferFunctionLinear:
return v;
case kSharpYuvTransferFunctionLog100:
linear = ToLinearLog100(v_float);
break;
case kSharpYuvTransferFunctionLog100_Sqrt10:
linear = ToLinearLog100Sqrt10(v_float);
break;
case kSharpYuvTransferFunctionIec61966:
linear = ToLinearIec61966(v_float);
break;
case kSharpYuvTransferFunctionBt1361:
linear = ToLinearBt1361(v_float);
break;
case kSharpYuvTransferFunctionSmpte2084:
linear = ToLinearPq(v_float);
break;
case kSharpYuvTransferFunctionSmpte428:
linear = ToLinearSmpte428(v_float);
break;
case kSharpYuvTransferFunctionHlg:
linear = ToLinearHlg(v_float);
break;
default:
assert(0);
linear = 0;
break;
}
return (uint32_t)Roundf(linear * ((1 << 16) - 1));
}
uint16_t SharpYuvLinearToGamma(uint32_t v, int bit_depth,
SharpYuvTransferFunctionType transfer_type) {
float v_float, linear;
if (transfer_type == kSharpYuvTransferFunctionSrgb) {
return FromLinearSrgb(v, bit_depth);
}
v_float = (float)v / ((1 << 16) - 1);
switch (transfer_type) {
case kSharpYuvTransferFunctionBt709:
case kSharpYuvTransferFunctionBt601:
case kSharpYuvTransferFunctionBt2020_10Bit:
case kSharpYuvTransferFunctionBt2020_12Bit:
linear = FromLinear709(v_float);
break;
case kSharpYuvTransferFunctionBt470M:
linear = FromLinear470M(v_float);
break;
case kSharpYuvTransferFunctionBt470Bg:
linear = FromLinear470Bg(v_float);
break;
case kSharpYuvTransferFunctionSmpte240:
linear = FromLinearSmpte240(v_float);
break;
case kSharpYuvTransferFunctionLinear:
return v;
case kSharpYuvTransferFunctionLog100:
linear = FromLinearLog100(v_float);
break;
case kSharpYuvTransferFunctionLog100_Sqrt10:
linear = FromLinearLog100Sqrt10(v_float);
break;
case kSharpYuvTransferFunctionIec61966:
linear = FromLinearIec61966(v_float);
break;
case kSharpYuvTransferFunctionBt1361:
linear = FromLinearBt1361(v_float);
break;
case kSharpYuvTransferFunctionSmpte2084:
linear = FromLinearPq(v_float);
break;
case kSharpYuvTransferFunctionSmpte428:
linear = FromLinearSmpte428(v_float);
break;
case kSharpYuvTransferFunctionHlg:
linear = FromLinearHlg(v_float);
break;
default:
assert(0);
linear = 0;
break;
}
return (uint16_t)Roundf(linear * ((1 << bit_depth) - 1));
}
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Gamma correction utilities.
#ifndef WEBP_SHARPYUV_SHARPYUV_GAMMA_H_
#define WEBP_SHARPYUV_SHARPYUV_GAMMA_H_
#include "sharpyuv/sharpyuv.h"
#include "src/webp/types.h"
#ifdef __cplusplus
extern "C" {
#endif
// Initializes precomputed tables. Must be called once before calling
// SharpYuvGammaToLinear or SharpYuvLinearToGamma.
void SharpYuvInitGammaTables(void);
// Converts a 'bit_depth'-bit gamma color value to a 16-bit linear value.
uint32_t SharpYuvGammaToLinear(uint16_t v, int bit_depth,
SharpYuvTransferFunctionType transfer_type);
// Converts a 16-bit linear color value to a 'bit_depth'-bit gamma value.
uint16_t SharpYuvLinearToGamma(uint32_t value, int bit_depth,
SharpYuvTransferFunctionType transfer_type);
#ifdef __cplusplus
} // extern "C"
#endif
#endif // WEBP_SHARPYUV_SHARPYUV_GAMMA_H_
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// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Speed-critical functions for Sharp YUV.
//
// Author: Skal (pascal.massimino@gmail.com)
#include "sharpyuv/sharpyuv_dsp.h"
#if defined(WEBP_USE_NEON)
#include <assert.h>
#include <stdlib.h>
#include <arm_neon.h>
static uint16_t clip_NEON(int v, int max) {
return (v < 0) ? 0 : (v > max) ? max : (uint16_t)v;
}
static uint64_t SharpYuvUpdateY_NEON(const uint16_t* ref, const uint16_t* src,
uint16_t* dst, int len, int bit_depth) {
const int max_y = (1 << bit_depth) - 1;
int i;
const int16x8_t zero = vdupq_n_s16(0);
const int16x8_t max = vdupq_n_s16(max_y);
uint64x2_t sum = vdupq_n_u64(0);
uint64_t diff;
for (i = 0; i + 8 <= len; i += 8) {
const int16x8_t A = vreinterpretq_s16_u16(vld1q_u16(ref + i));
const int16x8_t B = vreinterpretq_s16_u16(vld1q_u16(src + i));
const int16x8_t C = vreinterpretq_s16_u16(vld1q_u16(dst + i));
const int16x8_t D = vsubq_s16(A, B); // diff_y
const int16x8_t F = vaddq_s16(C, D); // new_y
const uint16x8_t H =
vreinterpretq_u16_s16(vmaxq_s16(vminq_s16(F, max), zero));
const int16x8_t I = vabsq_s16(D); // abs(diff_y)
vst1q_u16(dst + i, H);
sum = vpadalq_u32(sum, vpaddlq_u16(vreinterpretq_u16_s16(I)));
}
diff = vgetq_lane_u64(sum, 0) + vgetq_lane_u64(sum, 1);
for (; i < len; ++i) {
const int diff_y = ref[i] - src[i];
const int new_y = (int)(dst[i]) + diff_y;
dst[i] = clip_NEON(new_y, max_y);
diff += (uint64_t)(abs(diff_y));
}
return diff;
}
static void SharpYuvUpdateRGB_NEON(const int16_t* ref, const int16_t* src,
int16_t* dst, int len) {
int i;
for (i = 0; i + 8 <= len; i += 8) {
const int16x8_t A = vld1q_s16(ref + i);
const int16x8_t B = vld1q_s16(src + i);
const int16x8_t C = vld1q_s16(dst + i);
const int16x8_t D = vsubq_s16(A, B); // diff_uv
const int16x8_t E = vaddq_s16(C, D); // new_uv
vst1q_s16(dst + i, E);
}
for (; i < len; ++i) {
const int diff_uv = ref[i] - src[i];
dst[i] += diff_uv;
}
}
static void SharpYuvFilterRow16_NEON(const int16_t* A, const int16_t* B,
int len, const uint16_t* best_y,
uint16_t* out, int bit_depth) {
const int max_y = (1 << bit_depth) - 1;
int i;
const int16x8_t max = vdupq_n_s16(max_y);
const int16x8_t zero = vdupq_n_s16(0);
for (i = 0; i + 8 <= len; i += 8) {
const int16x8_t a0 = vld1q_s16(A + i + 0);
const int16x8_t a1 = vld1q_s16(A + i + 1);
const int16x8_t b0 = vld1q_s16(B + i + 0);
const int16x8_t b1 = vld1q_s16(B + i + 1);
const int16x8_t a0b1 = vaddq_s16(a0, b1);
const int16x8_t a1b0 = vaddq_s16(a1, b0);
const int16x8_t a0a1b0b1 = vaddq_s16(a0b1, a1b0); // A0+A1+B0+B1
const int16x8_t a0b1_2 = vaddq_s16(a0b1, a0b1); // 2*(A0+B1)
const int16x8_t a1b0_2 = vaddq_s16(a1b0, a1b0); // 2*(A1+B0)
const int16x8_t c0 = vshrq_n_s16(vaddq_s16(a0b1_2, a0a1b0b1), 3);
const int16x8_t c1 = vshrq_n_s16(vaddq_s16(a1b0_2, a0a1b0b1), 3);
const int16x8_t e0 = vrhaddq_s16(c1, a0);
const int16x8_t e1 = vrhaddq_s16(c0, a1);
const int16x8x2_t f = vzipq_s16(e0, e1);
const int16x8_t g0 = vreinterpretq_s16_u16(vld1q_u16(best_y + 2 * i + 0));
const int16x8_t g1 = vreinterpretq_s16_u16(vld1q_u16(best_y + 2 * i + 8));
const int16x8_t h0 = vaddq_s16(g0, f.val[0]);
const int16x8_t h1 = vaddq_s16(g1, f.val[1]);
const int16x8_t i0 = vmaxq_s16(vminq_s16(h0, max), zero);
const int16x8_t i1 = vmaxq_s16(vminq_s16(h1, max), zero);
vst1q_u16(out + 2 * i + 0, vreinterpretq_u16_s16(i0));
vst1q_u16(out + 2 * i + 8, vreinterpretq_u16_s16(i1));
}
for (; i < len; ++i) {
const int a0b1 = A[i + 0] + B[i + 1];
const int a1b0 = A[i + 1] + B[i + 0];
const int a0a1b0b1 = a0b1 + a1b0 + 8;
const int v0 = (8 * A[i + 0] + 2 * a1b0 + a0a1b0b1) >> 4;
const int v1 = (8 * A[i + 1] + 2 * a0b1 + a0a1b0b1) >> 4;
out[2 * i + 0] = clip_NEON(best_y[2 * i + 0] + v0, max_y);
out[2 * i + 1] = clip_NEON(best_y[2 * i + 1] + v1, max_y);
}
}
static void SharpYuvFilterRow32_NEON(const int16_t* A, const int16_t* B,
int len, const uint16_t* best_y,
uint16_t* out, int bit_depth) {
const int max_y = (1 << bit_depth) - 1;
int i;
const uint16x8_t max = vdupq_n_u16(max_y);
for (i = 0; i + 4 <= len; i += 4) {
const int16x4_t a0 = vld1_s16(A + i + 0);
const int16x4_t a1 = vld1_s16(A + i + 1);
const int16x4_t b0 = vld1_s16(B + i + 0);
const int16x4_t b1 = vld1_s16(B + i + 1);
const int32x4_t a0b1 = vaddl_s16(a0, b1);
const int32x4_t a1b0 = vaddl_s16(a1, b0);
const int32x4_t a0a1b0b1 = vaddq_s32(a0b1, a1b0); // A0+A1+B0+B1
const int32x4_t a0b1_2 = vaddq_s32(a0b1, a0b1); // 2*(A0+B1)
const int32x4_t a1b0_2 = vaddq_s32(a1b0, a1b0); // 2*(A1+B0)
const int32x4_t c0 = vshrq_n_s32(vaddq_s32(a0b1_2, a0a1b0b1), 3);
const int32x4_t c1 = vshrq_n_s32(vaddq_s32(a1b0_2, a0a1b0b1), 3);
const int32x4_t e0 = vrhaddq_s32(c1, vmovl_s16(a0));
const int32x4_t e1 = vrhaddq_s32(c0, vmovl_s16(a1));
const int32x4x2_t f = vzipq_s32(e0, e1);
const int16x8_t g = vreinterpretq_s16_u16(vld1q_u16(best_y + 2 * i));
const int32x4_t h0 = vaddw_s16(f.val[0], vget_low_s16(g));
const int32x4_t h1 = vaddw_s16(f.val[1], vget_high_s16(g));
const uint16x8_t i_16 = vcombine_u16(vqmovun_s32(h0), vqmovun_s32(h1));
const uint16x8_t i_clamped = vminq_u16(i_16, max);
vst1q_u16(out + 2 * i + 0, i_clamped);
}
for (; i < len; ++i) {
const int a0b1 = A[i + 0] + B[i + 1];
const int a1b0 = A[i + 1] + B[i + 0];
const int a0a1b0b1 = a0b1 + a1b0 + 8;
const int v0 = (8 * A[i + 0] + 2 * a1b0 + a0a1b0b1) >> 4;
const int v1 = (8 * A[i + 1] + 2 * a0b1 + a0a1b0b1) >> 4;
out[2 * i + 0] = clip_NEON(best_y[2 * i + 0] + v0, max_y);
out[2 * i + 1] = clip_NEON(best_y[2 * i + 1] + v1, max_y);
}
}
static void SharpYuvFilterRow_NEON(const int16_t* A, const int16_t* B, int len,
const uint16_t* best_y, uint16_t* out,
int bit_depth) {
if (bit_depth <= 10) {
SharpYuvFilterRow16_NEON(A, B, len, best_y, out, bit_depth);
} else {
SharpYuvFilterRow32_NEON(A, B, len, best_y, out, bit_depth);
}
}
//------------------------------------------------------------------------------
extern void InitSharpYuvNEON(void);
WEBP_TSAN_IGNORE_FUNCTION void InitSharpYuvNEON(void) {
SharpYuvUpdateY = SharpYuvUpdateY_NEON;
SharpYuvUpdateRGB = SharpYuvUpdateRGB_NEON;
SharpYuvFilterRow = SharpYuvFilterRow_NEON;
}
#else // !WEBP_USE_NEON
extern void InitSharpYuvNEON(void);
void InitSharpYuvNEON(void) {}
#endif // WEBP_USE_NEON
+201
View File
@@ -0,0 +1,201 @@
// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// Speed-critical functions for Sharp YUV.
//
// Author: Skal (pascal.massimino@gmail.com)
#include "sharpyuv/sharpyuv_dsp.h"
#if defined(WEBP_USE_SSE2)
#include <stdlib.h>
#include <emmintrin.h>
static uint16_t clip_SSE2(int v, int max) {
return (v < 0) ? 0 : (v > max) ? max : (uint16_t)v;
}
static uint64_t SharpYuvUpdateY_SSE2(const uint16_t* ref, const uint16_t* src,
uint16_t* dst, int len, int bit_depth) {
const int max_y = (1 << bit_depth) - 1;
uint64_t diff = 0;
uint32_t tmp[4];
int i;
const __m128i zero = _mm_setzero_si128();
const __m128i max = _mm_set1_epi16(max_y);
const __m128i one = _mm_set1_epi16(1);
__m128i sum = zero;
for (i = 0; i + 8 <= len; i += 8) {
const __m128i A = _mm_loadu_si128((const __m128i*)(ref + i));
const __m128i B = _mm_loadu_si128((const __m128i*)(src + i));
const __m128i C = _mm_loadu_si128((const __m128i*)(dst + i));
const __m128i D = _mm_sub_epi16(A, B); // diff_y
const __m128i E = _mm_cmpgt_epi16(zero, D); // sign (-1 or 0)
const __m128i F = _mm_add_epi16(C, D); // new_y
const __m128i G = _mm_or_si128(E, one); // -1 or 1
const __m128i H = _mm_max_epi16(_mm_min_epi16(F, max), zero);
const __m128i I = _mm_madd_epi16(D, G); // sum(abs(...))
_mm_storeu_si128((__m128i*)(dst + i), H);
sum = _mm_add_epi32(sum, I);
}
_mm_storeu_si128((__m128i*)tmp, sum);
diff = tmp[3] + tmp[2] + tmp[1] + tmp[0];
for (; i < len; ++i) {
const int diff_y = ref[i] - src[i];
const int new_y = (int)dst[i] + diff_y;
dst[i] = clip_SSE2(new_y, max_y);
diff += (uint64_t)abs(diff_y);
}
return diff;
}
static void SharpYuvUpdateRGB_SSE2(const int16_t* ref, const int16_t* src,
int16_t* dst, int len) {
int i = 0;
for (i = 0; i + 8 <= len; i += 8) {
const __m128i A = _mm_loadu_si128((const __m128i*)(ref + i));
const __m128i B = _mm_loadu_si128((const __m128i*)(src + i));
const __m128i C = _mm_loadu_si128((const __m128i*)(dst + i));
const __m128i D = _mm_sub_epi16(A, B); // diff_uv
const __m128i E = _mm_add_epi16(C, D); // new_uv
_mm_storeu_si128((__m128i*)(dst + i), E);
}
for (; i < len; ++i) {
const int diff_uv = ref[i] - src[i];
dst[i] += diff_uv;
}
}
static void SharpYuvFilterRow16_SSE2(const int16_t* A, const int16_t* B,
int len, const uint16_t* best_y,
uint16_t* out, int bit_depth) {
const int max_y = (1 << bit_depth) - 1;
int i;
const __m128i kCst8 = _mm_set1_epi16(8);
const __m128i max = _mm_set1_epi16(max_y);
const __m128i zero = _mm_setzero_si128();
for (i = 0; i + 8 <= len; i += 8) {
const __m128i a0 = _mm_loadu_si128((const __m128i*)(A + i + 0));
const __m128i a1 = _mm_loadu_si128((const __m128i*)(A + i + 1));
const __m128i b0 = _mm_loadu_si128((const __m128i*)(B + i + 0));
const __m128i b1 = _mm_loadu_si128((const __m128i*)(B + i + 1));
const __m128i a0b1 = _mm_add_epi16(a0, b1);
const __m128i a1b0 = _mm_add_epi16(a1, b0);
const __m128i a0a1b0b1 = _mm_add_epi16(a0b1, a1b0); // A0+A1+B0+B1
const __m128i a0a1b0b1_8 = _mm_add_epi16(a0a1b0b1, kCst8);
const __m128i a0b1_2 = _mm_add_epi16(a0b1, a0b1); // 2*(A0+B1)
const __m128i a1b0_2 = _mm_add_epi16(a1b0, a1b0); // 2*(A1+B0)
const __m128i c0 = _mm_srai_epi16(_mm_add_epi16(a0b1_2, a0a1b0b1_8), 3);
const __m128i c1 = _mm_srai_epi16(_mm_add_epi16(a1b0_2, a0a1b0b1_8), 3);
const __m128i d0 = _mm_add_epi16(c1, a0);
const __m128i d1 = _mm_add_epi16(c0, a1);
const __m128i e0 = _mm_srai_epi16(d0, 1);
const __m128i e1 = _mm_srai_epi16(d1, 1);
const __m128i f0 = _mm_unpacklo_epi16(e0, e1);
const __m128i f1 = _mm_unpackhi_epi16(e0, e1);
const __m128i g0 = _mm_loadu_si128((const __m128i*)(best_y + 2 * i + 0));
const __m128i g1 = _mm_loadu_si128((const __m128i*)(best_y + 2 * i + 8));
const __m128i h0 = _mm_add_epi16(g0, f0);
const __m128i h1 = _mm_add_epi16(g1, f1);
const __m128i i0 = _mm_max_epi16(_mm_min_epi16(h0, max), zero);
const __m128i i1 = _mm_max_epi16(_mm_min_epi16(h1, max), zero);
_mm_storeu_si128((__m128i*)(out + 2 * i + 0), i0);
_mm_storeu_si128((__m128i*)(out + 2 * i + 8), i1);
}
for (; i < len; ++i) {
// (9 * A0 + 3 * A1 + 3 * B0 + B1 + 8) >> 4 =
// = (8 * A0 + 2 * (A1 + B0) + (A0 + A1 + B0 + B1 + 8)) >> 4
// We reuse the common sub-expressions.
const int a0b1 = A[i + 0] + B[i + 1];
const int a1b0 = A[i + 1] + B[i + 0];
const int a0a1b0b1 = a0b1 + a1b0 + 8;
const int v0 = (8 * A[i + 0] + 2 * a1b0 + a0a1b0b1) >> 4;
const int v1 = (8 * A[i + 1] + 2 * a0b1 + a0a1b0b1) >> 4;
out[2 * i + 0] = clip_SSE2(best_y[2 * i + 0] + v0, max_y);
out[2 * i + 1] = clip_SSE2(best_y[2 * i + 1] + v1, max_y);
}
}
static WEBP_INLINE __m128i s16_to_s32(__m128i in) {
return _mm_srai_epi32(_mm_unpacklo_epi16(in, in), 16);
}
static void SharpYuvFilterRow32_SSE2(const int16_t* A, const int16_t* B,
int len, const uint16_t* best_y,
uint16_t* out, int bit_depth) {
const int max_y = (1 << bit_depth) - 1;
int i;
const __m128i kCst8 = _mm_set1_epi32(8);
const __m128i max = _mm_set1_epi16(max_y);
const __m128i zero = _mm_setzero_si128();
for (i = 0; i + 4 <= len; i += 4) {
const __m128i a0 = s16_to_s32(_mm_loadl_epi64((const __m128i*)(A + i + 0)));
const __m128i a1 = s16_to_s32(_mm_loadl_epi64((const __m128i*)(A + i + 1)));
const __m128i b0 = s16_to_s32(_mm_loadl_epi64((const __m128i*)(B + i + 0)));
const __m128i b1 = s16_to_s32(_mm_loadl_epi64((const __m128i*)(B + i + 1)));
const __m128i a0b1 = _mm_add_epi32(a0, b1);
const __m128i a1b0 = _mm_add_epi32(a1, b0);
const __m128i a0a1b0b1 = _mm_add_epi32(a0b1, a1b0); // A0+A1+B0+B1
const __m128i a0a1b0b1_8 = _mm_add_epi32(a0a1b0b1, kCst8);
const __m128i a0b1_2 = _mm_add_epi32(a0b1, a0b1); // 2*(A0+B1)
const __m128i a1b0_2 = _mm_add_epi32(a1b0, a1b0); // 2*(A1+B0)
const __m128i c0 = _mm_srai_epi32(_mm_add_epi32(a0b1_2, a0a1b0b1_8), 3);
const __m128i c1 = _mm_srai_epi32(_mm_add_epi32(a1b0_2, a0a1b0b1_8), 3);
const __m128i d0 = _mm_add_epi32(c1, a0);
const __m128i d1 = _mm_add_epi32(c0, a1);
const __m128i e0 = _mm_srai_epi32(d0, 1);
const __m128i e1 = _mm_srai_epi32(d1, 1);
const __m128i f0 = _mm_unpacklo_epi32(e0, e1);
const __m128i f1 = _mm_unpackhi_epi32(e0, e1);
const __m128i g = _mm_loadu_si128((const __m128i*)(best_y + 2 * i + 0));
const __m128i h_16 = _mm_add_epi16(g, _mm_packs_epi32(f0, f1));
const __m128i final = _mm_max_epi16(_mm_min_epi16(h_16, max), zero);
_mm_storeu_si128((__m128i*)(out + 2 * i + 0), final);
}
for (; i < len; ++i) {
// (9 * A0 + 3 * A1 + 3 * B0 + B1 + 8) >> 4 =
// = (8 * A0 + 2 * (A1 + B0) + (A0 + A1 + B0 + B1 + 8)) >> 4
// We reuse the common sub-expressions.
const int a0b1 = A[i + 0] + B[i + 1];
const int a1b0 = A[i + 1] + B[i + 0];
const int a0a1b0b1 = a0b1 + a1b0 + 8;
const int v0 = (8 * A[i + 0] + 2 * a1b0 + a0a1b0b1) >> 4;
const int v1 = (8 * A[i + 1] + 2 * a0b1 + a0a1b0b1) >> 4;
out[2 * i + 0] = clip_SSE2(best_y[2 * i + 0] + v0, max_y);
out[2 * i + 1] = clip_SSE2(best_y[2 * i + 1] + v1, max_y);
}
}
static void SharpYuvFilterRow_SSE2(const int16_t* A, const int16_t* B, int len,
const uint16_t* best_y, uint16_t* out,
int bit_depth) {
if (bit_depth <= 10) {
SharpYuvFilterRow16_SSE2(A, B, len, best_y, out, bit_depth);
} else {
SharpYuvFilterRow32_SSE2(A, B, len, best_y, out, bit_depth);
}
}
//------------------------------------------------------------------------------
extern void InitSharpYuvSSE2(void);
WEBP_TSAN_IGNORE_FUNCTION void InitSharpYuvSSE2(void) {
SharpYuvUpdateY = SharpYuvUpdateY_SSE2;
SharpYuvUpdateRGB = SharpYuvUpdateRGB_SSE2;
SharpYuvFilterRow = SharpYuvFilterRow_SSE2;
}
#else // !WEBP_USE_SSE2
extern void InitSharpYuvSSE2(void);
void InitSharpYuvSSE2(void) {}
#endif // WEBP_USE_SSE2
+19 -18
View File
@@ -117,21 +117,12 @@ static int ALPHDecode(VP8Decoder* const dec, int row, int num_rows) {
const uint8_t* deltas = dec->alpha_data_ + ALPHA_HEADER_LEN + row * width;
uint8_t* dst = dec->alpha_plane_ + row * width;
assert(deltas <= &dec->alpha_data_[dec->alpha_data_size_]);
if (alph_dec->filter_ != WEBP_FILTER_NONE) {
assert(WebPUnfilters[alph_dec->filter_] != NULL);
for (y = 0; y < num_rows; ++y) {
WebPUnfilters[alph_dec->filter_](prev_line, deltas, dst, width);
prev_line = dst;
dst += width;
deltas += width;
}
} else {
for (y = 0; y < num_rows; ++y) {
memcpy(dst, deltas, width * sizeof(*dst));
prev_line = dst;
dst += width;
deltas += width;
}
assert(WebPUnfilters[alph_dec->filter_] != NULL);
for (y = 0; y < num_rows; ++y) {
WebPUnfilters[alph_dec->filter_](prev_line, deltas, dst, width);
prev_line = dst;
dst += width;
deltas += width;
}
dec->alpha_prev_line_ = prev_line;
} else { // alph_dec->method_ == ALPHA_LOSSLESS_COMPRESSION
@@ -155,7 +146,8 @@ static int AllocateAlphaPlane(VP8Decoder* const dec, const VP8Io* const io) {
dec->alpha_plane_mem_ =
(uint8_t*)WebPSafeMalloc(alpha_size, sizeof(*dec->alpha_plane_));
if (dec->alpha_plane_mem_ == NULL) {
return 0;
return VP8SetError(dec, VP8_STATUS_OUT_OF_MEMORY,
"Alpha decoder initialization failed.");
}
dec->alpha_plane_ = dec->alpha_plane_mem_;
dec->alpha_prev_line_ = NULL;
@@ -183,16 +175,25 @@ const uint8_t* VP8DecompressAlphaRows(VP8Decoder* const dec,
assert(dec != NULL && io != NULL);
if (row < 0 || num_rows <= 0 || row + num_rows > height) {
return NULL; // sanity check.
return NULL;
}
if (!dec->is_alpha_decoded_) {
if (dec->alph_dec_ == NULL) { // Initialize decoder.
dec->alph_dec_ = ALPHNew();
if (dec->alph_dec_ == NULL) return NULL;
if (dec->alph_dec_ == NULL) {
VP8SetError(dec, VP8_STATUS_OUT_OF_MEMORY,
"Alpha decoder initialization failed.");
return NULL;
}
if (!AllocateAlphaPlane(dec, io)) goto Error;
if (!ALPHInit(dec->alph_dec_, dec->alpha_data_, dec->alpha_data_size_,
io, dec->alpha_plane_)) {
VP8LDecoder* const vp8l_dec = dec->alph_dec_->vp8l_dec_;
VP8SetError(dec,
(vp8l_dec == NULL) ? VP8_STATUS_OUT_OF_MEMORY
: vp8l_dec->status_,
"Alpha decoder initialization failed.");
goto Error;
}
// if we allowed use of alpha dithering, check whether it's needed at all
+5 -7
View File
@@ -75,7 +75,7 @@ static VP8StatusCode CheckDecBuffer(const WebPDecBuffer* const buffer) {
const WebPRGBABuffer* const buf = &buffer->u.RGBA;
const int stride = abs(buf->stride);
const uint64_t size =
MIN_BUFFER_SIZE(width * kModeBpp[mode], height, stride);
MIN_BUFFER_SIZE((uint64_t)width * kModeBpp[mode], height, stride);
ok &= (size <= buf->size);
ok &= (stride >= width * kModeBpp[mode]);
ok &= (buf->rgba != NULL);
@@ -102,7 +102,7 @@ static VP8StatusCode AllocateBuffer(WebPDecBuffer* const buffer) {
int stride;
uint64_t size;
if ((uint64_t)w * kModeBpp[mode] >= (1ull << 32)) {
if ((uint64_t)w * kModeBpp[mode] >= (1ull << 31)) {
return VP8_STATUS_INVALID_PARAM;
}
stride = w * kModeBpp[mode];
@@ -117,7 +117,6 @@ static VP8StatusCode AllocateBuffer(WebPDecBuffer* const buffer) {
}
total_size = size + 2 * uv_size + a_size;
// Security/sanity checks
output = (uint8_t*)WebPSafeMalloc(total_size, sizeof(*output));
if (output == NULL) {
return VP8_STATUS_OUT_OF_MEMORY;
@@ -156,11 +155,11 @@ VP8StatusCode WebPFlipBuffer(WebPDecBuffer* const buffer) {
}
if (WebPIsRGBMode(buffer->colorspace)) {
WebPRGBABuffer* const buf = &buffer->u.RGBA;
buf->rgba += (buffer->height - 1) * buf->stride;
buf->rgba += (int64_t)(buffer->height - 1) * buf->stride;
buf->stride = -buf->stride;
} else {
WebPYUVABuffer* const buf = &buffer->u.YUVA;
const int H = buffer->height;
const int64_t H = buffer->height;
buf->y += (H - 1) * buf->y_stride;
buf->y_stride = -buf->y_stride;
buf->u += ((H - 1) >> 1) * buf->u_stride;
@@ -188,8 +187,7 @@ VP8StatusCode WebPAllocateDecBuffer(int width, int height,
const int ch = options->crop_height;
const int x = options->crop_left & ~1;
const int y = options->crop_top & ~1;
if (x < 0 || y < 0 || cw <= 0 || ch <= 0 ||
x + cw > width || y + ch > height) {
if (!WebPCheckCropDimensions(width, height, x, y, cw, ch)) {
return VP8_STATUS_INVALID_PARAM; // out of frame boundary.
}
width = cw;
+1 -1
View File
@@ -705,7 +705,7 @@ static int AllocateMemory(VP8Decoder* const dec) {
+ cache_size + alpha_size + WEBP_ALIGN_CST;
uint8_t* mem;
if (needed != (size_t)needed) return 0; // check for overflow
if (!CheckSizeOverflow(needed)) return 0; // check for overflow
if (needed > dec->mem_size_) {
WebPSafeFree(dec->mem_);
dec->mem_size_ = 0;
+58 -40
View File
@@ -298,46 +298,57 @@ static int InitYUVRescaler(const VP8Io* const io, WebPDecParams* const p) {
const int uv_out_height = (out_height + 1) >> 1;
const int uv_in_width = (io->mb_w + 1) >> 1;
const int uv_in_height = (io->mb_h + 1) >> 1;
const size_t work_size = 2 * out_width; // scratch memory for luma rescaler
// scratch memory for luma rescaler
const size_t work_size = 2 * (size_t)out_width;
const size_t uv_work_size = 2 * uv_out_width; // and for each u/v ones
size_t tmp_size, rescaler_size;
uint64_t total_size;
size_t rescaler_size;
rescaler_t* work;
WebPRescaler* scalers;
const int num_rescalers = has_alpha ? 4 : 3;
tmp_size = (work_size + 2 * uv_work_size) * sizeof(*work);
total_size = ((uint64_t)work_size + 2 * uv_work_size) * sizeof(*work);
if (has_alpha) {
tmp_size += work_size * sizeof(*work);
total_size += (uint64_t)work_size * sizeof(*work);
}
rescaler_size = num_rescalers * sizeof(*p->scaler_y) + WEBP_ALIGN_CST;
total_size += rescaler_size;
if (!CheckSizeOverflow(total_size)) {
return 0;
}
p->memory = WebPSafeMalloc(1ULL, tmp_size + rescaler_size);
p->memory = WebPSafeMalloc(1ULL, (size_t)total_size);
if (p->memory == NULL) {
return 0; // memory error
}
work = (rescaler_t*)p->memory;
scalers = (WebPRescaler*)WEBP_ALIGN((const uint8_t*)work + tmp_size);
scalers = (WebPRescaler*)WEBP_ALIGN(
(const uint8_t*)work + total_size - rescaler_size);
p->scaler_y = &scalers[0];
p->scaler_u = &scalers[1];
p->scaler_v = &scalers[2];
p->scaler_a = has_alpha ? &scalers[3] : NULL;
WebPRescalerInit(p->scaler_y, io->mb_w, io->mb_h,
buf->y, out_width, out_height, buf->y_stride, 1,
work);
WebPRescalerInit(p->scaler_u, uv_in_width, uv_in_height,
buf->u, uv_out_width, uv_out_height, buf->u_stride, 1,
work + work_size);
WebPRescalerInit(p->scaler_v, uv_in_width, uv_in_height,
buf->v, uv_out_width, uv_out_height, buf->v_stride, 1,
work + work_size + uv_work_size);
if (!WebPRescalerInit(p->scaler_y, io->mb_w, io->mb_h,
buf->y, out_width, out_height, buf->y_stride, 1,
work) ||
!WebPRescalerInit(p->scaler_u, uv_in_width, uv_in_height,
buf->u, uv_out_width, uv_out_height, buf->u_stride, 1,
work + work_size) ||
!WebPRescalerInit(p->scaler_v, uv_in_width, uv_in_height,
buf->v, uv_out_width, uv_out_height, buf->v_stride, 1,
work + work_size + uv_work_size)) {
return 0;
}
p->emit = EmitRescaledYUV;
if (has_alpha) {
WebPRescalerInit(p->scaler_a, io->mb_w, io->mb_h,
buf->a, out_width, out_height, buf->a_stride, 1,
work + work_size + 2 * uv_work_size);
if (!WebPRescalerInit(p->scaler_a, io->mb_w, io->mb_h,
buf->a, out_width, out_height, buf->a_stride, 1,
work + work_size + 2 * uv_work_size)) {
return 0;
}
p->emit_alpha = EmitRescaledAlphaYUV;
WebPInitAlphaProcessing();
}
@@ -480,51 +491,58 @@ static int InitRGBRescaler(const VP8Io* const io, WebPDecParams* const p) {
const int out_height = io->scaled_height;
const int uv_in_width = (io->mb_w + 1) >> 1;
const int uv_in_height = (io->mb_h + 1) >> 1;
const size_t work_size = 2 * out_width; // scratch memory for one rescaler
// scratch memory for one rescaler
const size_t work_size = 2 * (size_t)out_width;
rescaler_t* work; // rescalers work area
uint8_t* tmp; // tmp storage for scaled YUV444 samples before RGB conversion
size_t tmp_size1, tmp_size2, total_size, rescaler_size;
uint64_t tmp_size1, tmp_size2, total_size;
size_t rescaler_size;
WebPRescaler* scalers;
const int num_rescalers = has_alpha ? 4 : 3;
tmp_size1 = 3 * work_size;
tmp_size2 = 3 * out_width;
if (has_alpha) {
tmp_size1 += work_size;
tmp_size2 += out_width;
}
tmp_size1 = (uint64_t)num_rescalers * work_size;
tmp_size2 = (uint64_t)num_rescalers * out_width;
total_size = tmp_size1 * sizeof(*work) + tmp_size2 * sizeof(*tmp);
rescaler_size = num_rescalers * sizeof(*p->scaler_y) + WEBP_ALIGN_CST;
total_size += rescaler_size;
if (!CheckSizeOverflow(total_size)) {
return 0;
}
p->memory = WebPSafeMalloc(1ULL, total_size + rescaler_size);
p->memory = WebPSafeMalloc(1ULL, (size_t)total_size);
if (p->memory == NULL) {
return 0; // memory error
}
work = (rescaler_t*)p->memory;
tmp = (uint8_t*)(work + tmp_size1);
scalers = (WebPRescaler*)WEBP_ALIGN((const uint8_t*)work + total_size);
scalers = (WebPRescaler*)WEBP_ALIGN(
(const uint8_t*)work + total_size - rescaler_size);
p->scaler_y = &scalers[0];
p->scaler_u = &scalers[1];
p->scaler_v = &scalers[2];
p->scaler_a = has_alpha ? &scalers[3] : NULL;
WebPRescalerInit(p->scaler_y, io->mb_w, io->mb_h,
tmp + 0 * out_width, out_width, out_height, 0, 1,
work + 0 * work_size);
WebPRescalerInit(p->scaler_u, uv_in_width, uv_in_height,
tmp + 1 * out_width, out_width, out_height, 0, 1,
work + 1 * work_size);
WebPRescalerInit(p->scaler_v, uv_in_width, uv_in_height,
tmp + 2 * out_width, out_width, out_height, 0, 1,
work + 2 * work_size);
if (!WebPRescalerInit(p->scaler_y, io->mb_w, io->mb_h,
tmp + 0 * out_width, out_width, out_height, 0, 1,
work + 0 * work_size) ||
!WebPRescalerInit(p->scaler_u, uv_in_width, uv_in_height,
tmp + 1 * out_width, out_width, out_height, 0, 1,
work + 1 * work_size) ||
!WebPRescalerInit(p->scaler_v, uv_in_width, uv_in_height,
tmp + 2 * out_width, out_width, out_height, 0, 1,
work + 2 * work_size)) {
return 0;
}
p->emit = EmitRescaledRGB;
WebPInitYUV444Converters();
if (has_alpha) {
WebPRescalerInit(p->scaler_a, io->mb_w, io->mb_h,
tmp + 3 * out_width, out_width, out_height, 0, 1,
work + 3 * work_size);
if (!WebPRescalerInit(p->scaler_a, io->mb_w, io->mb_h,
tmp + 3 * out_width, out_width, out_height, 0, 1,
work + 3 * work_size)) {
return 0;
}
p->emit_alpha = EmitRescaledAlphaRGB;
if (p->output->colorspace == MODE_RGBA_4444 ||
p->output->colorspace == MODE_rgbA_4444) {
+2 -1
View File
@@ -12,10 +12,11 @@
// Author: Skal (pascal.massimino@gmail.com)
#include "src/dec/vp8i_dec.h"
#include "src/dsp/cpu.h"
#include "src/utils/bit_reader_inl_utils.h"
#if !defined(USE_GENERIC_TREE)
#if !defined(__arm__) && !defined(_M_ARM) && !defined(__aarch64__)
#if !defined(__arm__) && !defined(_M_ARM) && !WEBP_AARCH64
// using a table is ~1-2% slower on ARM. Prefer the coded-tree approach then.
#define USE_GENERIC_TREE 1 // ALTERNATE_CODE
#else
+4 -2
View File
@@ -335,7 +335,7 @@ int VP8GetHeaders(VP8Decoder* const dec, VP8Io* const io) {
io->scaled_width = io->width;
io->scaled_height = io->height;
io->mb_w = io->width; // sanity check
io->mb_w = io->width; // for soundness
io->mb_h = io->height; // ditto
VP8ResetProba(&dec->proba_);
@@ -403,7 +403,7 @@ static const uint8_t kZigzag[16] = {
0, 1, 4, 8, 5, 2, 3, 6, 9, 12, 13, 10, 7, 11, 14, 15
};
// See section 13-2: http://tools.ietf.org/html/rfc6386#section-13.2
// See section 13-2: https://datatracker.ietf.org/doc/html/rfc6386#section-13.2
static int GetLargeValue(VP8BitReader* const br, const uint8_t* const p) {
int v;
if (!VP8GetBit(br, p[3], "coeffs")) {
@@ -494,6 +494,8 @@ static int GetCoeffsAlt(VP8BitReader* const br,
return 16;
}
extern VP8CPUInfo VP8GetCPUInfo;
WEBP_DSP_INIT_FUNC(InitGetCoeffs) {
if (VP8GetCPUInfo != NULL && VP8GetCPUInfo(kSlowSSSE3)) {
GetCoeffs = GetCoeffsAlt;
+2 -2
View File
@@ -31,8 +31,8 @@ extern "C" {
// version numbers
#define DEC_MAJ_VERSION 1
#define DEC_MIN_VERSION 2
#define DEC_REV_VERSION 0
#define DEC_MIN_VERSION 3
#define DEC_REV_VERSION 1
// YUV-cache parameters. Cache is 32-bytes wide (= one cacheline).
// Constraints are: We need to store one 16x16 block of luma samples (y),
+142 -102
View File
@@ -12,6 +12,7 @@
// Authors: Vikas Arora (vikaas.arora@gmail.com)
// Jyrki Alakuijala (jyrki@google.com)
#include <assert.h>
#include <stdlib.h>
#include "src/dec/alphai_dec.h"
@@ -84,7 +85,7 @@ static const uint8_t kCodeToPlane[CODE_TO_PLANE_CODES] = {
// to 256 (green component values) + 24 (length prefix values)
// + color_cache_size (between 0 and 2048).
// All values computed for 8-bit first level lookup with Mark Adler's tool:
// http://www.hdfgroup.org/ftp/lib-external/zlib/zlib-1.2.5/examples/enough.c
// https://github.com/madler/zlib/blob/v1.2.5/examples/enough.c
#define FIXED_TABLE_SIZE (630 * 3 + 410)
static const uint16_t kTableSize[12] = {
FIXED_TABLE_SIZE + 654,
@@ -101,6 +102,14 @@ static const uint16_t kTableSize[12] = {
FIXED_TABLE_SIZE + 2704
};
static int VP8LSetError(VP8LDecoder* const dec, VP8StatusCode error) {
// The oldest error reported takes precedence over the new one.
if (dec->status_ == VP8_STATUS_OK || dec->status_ == VP8_STATUS_SUSPENDED) {
dec->status_ = error;
}
return 0;
}
static int DecodeImageStream(int xsize, int ysize,
int is_level0,
VP8LDecoder* const dec,
@@ -178,7 +187,7 @@ static WEBP_INLINE int PlaneCodeToDistance(int xsize, int plane_code) {
//------------------------------------------------------------------------------
// Decodes the next Huffman code from bit-stream.
// FillBitWindow(br) needs to be called at minimum every second call
// VP8LFillBitWindow(br) needs to be called at minimum every second call
// to ReadSymbol, in order to pre-fetch enough bits.
static WEBP_INLINE int ReadSymbol(const HuffmanCode* table,
VP8LBitReader* const br) {
@@ -253,11 +262,11 @@ static int ReadHuffmanCodeLengths(
int symbol;
int max_symbol;
int prev_code_len = DEFAULT_CODE_LENGTH;
HuffmanCode table[1 << LENGTHS_TABLE_BITS];
HuffmanTables tables;
if (!VP8LBuildHuffmanTable(table, LENGTHS_TABLE_BITS,
code_length_code_lengths,
NUM_CODE_LENGTH_CODES)) {
if (!VP8LHuffmanTablesAllocate(1 << LENGTHS_TABLE_BITS, &tables) ||
!VP8LBuildHuffmanTable(&tables, LENGTHS_TABLE_BITS,
code_length_code_lengths, NUM_CODE_LENGTH_CODES)) {
goto End;
}
@@ -277,7 +286,7 @@ static int ReadHuffmanCodeLengths(
int code_len;
if (max_symbol-- == 0) break;
VP8LFillBitWindow(br);
p = &table[VP8LPrefetchBits(br) & LENGTHS_TABLE_MASK];
p = &tables.curr_segment->start[VP8LPrefetchBits(br) & LENGTHS_TABLE_MASK];
VP8LSetBitPos(br, br->bit_pos_ + p->bits);
code_len = p->value;
if (code_len < kCodeLengthLiterals) {
@@ -300,14 +309,16 @@ static int ReadHuffmanCodeLengths(
ok = 1;
End:
if (!ok) dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
VP8LHuffmanTablesDeallocate(&tables);
if (!ok) return VP8LSetError(dec, VP8_STATUS_BITSTREAM_ERROR);
return ok;
}
// 'code_lengths' is pre-allocated temporary buffer, used for creating Huffman
// tree.
static int ReadHuffmanCode(int alphabet_size, VP8LDecoder* const dec,
int* const code_lengths, HuffmanCode* const table) {
int* const code_lengths,
HuffmanTables* const table) {
int ok = 0;
int size = 0;
VP8LBitReader* const br = &dec->br_;
@@ -321,7 +332,7 @@ static int ReadHuffmanCode(int alphabet_size, VP8LDecoder* const dec,
// The first code is either 1 bit or 8 bit code.
int symbol = VP8LReadBits(br, (first_symbol_len_code == 0) ? 1 : 8);
code_lengths[symbol] = 1;
// The second code (if present), is always 8 bit long.
// The second code (if present), is always 8 bits long.
if (num_symbols == 2) {
symbol = VP8LReadBits(br, 8);
code_lengths[symbol] = 1;
@@ -331,10 +342,7 @@ static int ReadHuffmanCode(int alphabet_size, VP8LDecoder* const dec,
int i;
int code_length_code_lengths[NUM_CODE_LENGTH_CODES] = { 0 };
const int num_codes = VP8LReadBits(br, 4) + 4;
if (num_codes > NUM_CODE_LENGTH_CODES) {
dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
return 0;
}
assert(num_codes <= NUM_CODE_LENGTH_CODES);
for (i = 0; i < num_codes; ++i) {
code_length_code_lengths[kCodeLengthCodeOrder[i]] = VP8LReadBits(br, 3);
@@ -349,36 +357,35 @@ static int ReadHuffmanCode(int alphabet_size, VP8LDecoder* const dec,
code_lengths, alphabet_size);
}
if (!ok || size == 0) {
dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
return 0;
return VP8LSetError(dec, VP8_STATUS_BITSTREAM_ERROR);
}
return size;
}
static int ReadHuffmanCodes(VP8LDecoder* const dec, int xsize, int ysize,
int color_cache_bits, int allow_recursion) {
int i, j;
int i;
VP8LBitReader* const br = &dec->br_;
VP8LMetadata* const hdr = &dec->hdr_;
uint32_t* huffman_image = NULL;
HTreeGroup* htree_groups = NULL;
HuffmanCode* huffman_tables = NULL;
HuffmanCode* huffman_table = NULL;
HuffmanTables* huffman_tables = &hdr->huffman_tables_;
int num_htree_groups = 1;
int num_htree_groups_max = 1;
int max_alphabet_size = 0;
int* code_lengths = NULL;
const int table_size = kTableSize[color_cache_bits];
int* mapping = NULL;
int ok = 0;
// Check the table has been 0 initialized (through InitMetadata).
assert(huffman_tables->root.start == NULL);
assert(huffman_tables->curr_segment == NULL);
if (allow_recursion && VP8LReadBits(br, 1)) {
// use meta Huffman codes.
const int huffman_precision = VP8LReadBits(br, 3) + 2;
const int huffman_xsize = VP8LSubSampleSize(xsize, huffman_precision);
const int huffman_ysize = VP8LSubSampleSize(ysize, huffman_precision);
const int huffman_pixs = huffman_xsize * huffman_ysize;
if (!DecodeImageStream(huffman_xsize, huffman_ysize, 0, dec,
if (!DecodeImageStream(huffman_xsize, huffman_ysize, /*is_level0=*/0, dec,
&huffman_image)) {
goto Error;
}
@@ -402,7 +409,7 @@ static int ReadHuffmanCodes(VP8LDecoder* const dec, int xsize, int ysize,
// values [0, num_htree_groups)
mapping = (int*)WebPSafeMalloc(num_htree_groups_max, sizeof(*mapping));
if (mapping == NULL) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
goto Error;
}
// -1 means a value is unmapped, and therefore unused in the Huffman
@@ -421,29 +428,55 @@ static int ReadHuffmanCodes(VP8LDecoder* const dec, int xsize, int ysize,
if (br->eos_) goto Error;
// Find maximum alphabet size for the htree group.
for (j = 0; j < HUFFMAN_CODES_PER_META_CODE; ++j) {
int alphabet_size = kAlphabetSize[j];
if (j == 0 && color_cache_bits > 0) {
alphabet_size += 1 << color_cache_bits;
}
if (max_alphabet_size < alphabet_size) {
max_alphabet_size = alphabet_size;
}
if (!ReadHuffmanCodesHelper(color_cache_bits, num_htree_groups,
num_htree_groups_max, mapping, dec,
huffman_tables, &htree_groups)) {
goto Error;
}
ok = 1;
code_lengths = (int*)WebPSafeCalloc((uint64_t)max_alphabet_size,
sizeof(*code_lengths));
huffman_tables = (HuffmanCode*)WebPSafeMalloc(num_htree_groups * table_size,
sizeof(*huffman_tables));
htree_groups = VP8LHtreeGroupsNew(num_htree_groups);
// All OK. Finalize pointers.
hdr->huffman_image_ = huffman_image;
hdr->num_htree_groups_ = num_htree_groups;
hdr->htree_groups_ = htree_groups;
if (htree_groups == NULL || code_lengths == NULL || huffman_tables == NULL) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
Error:
WebPSafeFree(mapping);
if (!ok) {
WebPSafeFree(huffman_image);
VP8LHuffmanTablesDeallocate(huffman_tables);
VP8LHtreeGroupsFree(htree_groups);
}
return ok;
}
int ReadHuffmanCodesHelper(int color_cache_bits, int num_htree_groups,
int num_htree_groups_max, const int* const mapping,
VP8LDecoder* const dec,
HuffmanTables* const huffman_tables,
HTreeGroup** const htree_groups) {
int i, j, ok = 0;
const int max_alphabet_size =
kAlphabetSize[0] + ((color_cache_bits > 0) ? 1 << color_cache_bits : 0);
const int table_size = kTableSize[color_cache_bits];
int* code_lengths = NULL;
if ((mapping == NULL && num_htree_groups != num_htree_groups_max) ||
num_htree_groups > num_htree_groups_max) {
goto Error;
}
code_lengths =
(int*)WebPSafeCalloc((uint64_t)max_alphabet_size, sizeof(*code_lengths));
*htree_groups = VP8LHtreeGroupsNew(num_htree_groups);
if (*htree_groups == NULL || code_lengths == NULL ||
!VP8LHuffmanTablesAllocate(num_htree_groups * table_size,
huffman_tables)) {
VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
goto Error;
}
huffman_table = huffman_tables;
for (i = 0; i < num_htree_groups_max; ++i) {
// If the index "i" is unused in the Huffman image, just make sure the
// coefficients are valid but do not store them.
@@ -460,7 +493,7 @@ static int ReadHuffmanCodes(VP8LDecoder* const dec, int xsize, int ysize,
}
} else {
HTreeGroup* const htree_group =
&htree_groups[(mapping == NULL) ? i : mapping[i]];
&(*htree_groups)[(mapping == NULL) ? i : mapping[i]];
HuffmanCode** const htrees = htree_group->htrees;
int size;
int total_size = 0;
@@ -468,19 +501,20 @@ static int ReadHuffmanCodes(VP8LDecoder* const dec, int xsize, int ysize,
int max_bits = 0;
for (j = 0; j < HUFFMAN_CODES_PER_META_CODE; ++j) {
int alphabet_size = kAlphabetSize[j];
htrees[j] = huffman_table;
if (j == 0 && color_cache_bits > 0) {
alphabet_size += (1 << color_cache_bits);
}
size = ReadHuffmanCode(alphabet_size, dec, code_lengths, huffman_table);
size =
ReadHuffmanCode(alphabet_size, dec, code_lengths, huffman_tables);
htrees[j] = huffman_tables->curr_segment->curr_table;
if (size == 0) {
goto Error;
}
if (is_trivial_literal && kLiteralMap[j] == 1) {
is_trivial_literal = (huffman_table->bits == 0);
is_trivial_literal = (htrees[j]->bits == 0);
}
total_size += huffman_table->bits;
huffman_table += size;
total_size += htrees[j]->bits;
huffman_tables->curr_segment->curr_table += size;
if (j <= ALPHA) {
int local_max_bits = code_lengths[0];
int k;
@@ -511,19 +545,12 @@ static int ReadHuffmanCodes(VP8LDecoder* const dec, int xsize, int ysize,
}
ok = 1;
// All OK. Finalize pointers.
hdr->huffman_image_ = huffman_image;
hdr->num_htree_groups_ = num_htree_groups;
hdr->htree_groups_ = htree_groups;
hdr->huffman_tables_ = huffman_tables;
Error:
WebPSafeFree(code_lengths);
WebPSafeFree(mapping);
if (!ok) {
WebPSafeFree(huffman_image);
WebPSafeFree(huffman_tables);
VP8LHtreeGroupsFree(htree_groups);
VP8LHuffmanTablesDeallocate(huffman_tables);
VP8LHtreeGroupsFree(*htree_groups);
*htree_groups = NULL;
}
return ok;
}
@@ -547,8 +574,7 @@ static int AllocateAndInitRescaler(VP8LDecoder* const dec, VP8Io* const io) {
scaled_data_size * sizeof(*scaled_data);
uint8_t* memory = (uint8_t*)WebPSafeMalloc(memory_size, sizeof(*memory));
if (memory == NULL) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
return 0;
return VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
}
assert(dec->rescaler_memory == NULL);
dec->rescaler_memory = memory;
@@ -559,8 +585,11 @@ static int AllocateAndInitRescaler(VP8LDecoder* const dec, VP8Io* const io) {
memory += work_size * sizeof(*work);
scaled_data = (uint32_t*)memory;
WebPRescalerInit(dec->rescaler, in_width, in_height, (uint8_t*)scaled_data,
out_width, out_height, 0, num_channels, work);
if (!WebPRescalerInit(dec->rescaler, in_width, in_height,
(uint8_t*)scaled_data, out_width, out_height,
0, num_channels, work)) {
return 0;
}
return 1;
}
#endif // WEBP_REDUCE_SIZE
@@ -574,13 +603,14 @@ static int AllocateAndInitRescaler(VP8LDecoder* const dec, VP8Io* const io) {
static int Export(WebPRescaler* const rescaler, WEBP_CSP_MODE colorspace,
int rgba_stride, uint8_t* const rgba) {
uint32_t* const src = (uint32_t*)rescaler->dst;
uint8_t* dst = rgba;
const int dst_width = rescaler->dst_width;
int num_lines_out = 0;
while (WebPRescalerHasPendingOutput(rescaler)) {
uint8_t* const dst = rgba + num_lines_out * rgba_stride;
WebPRescalerExportRow(rescaler);
WebPMultARGBRow(src, dst_width, 1);
VP8LConvertFromBGRA(src, dst_width, colorspace, dst);
dst += rgba_stride;
++num_lines_out;
}
return num_lines_out;
@@ -594,8 +624,8 @@ static int EmitRescaledRowsRGBA(const VP8LDecoder* const dec,
int num_lines_in = 0;
int num_lines_out = 0;
while (num_lines_in < mb_h) {
uint8_t* const row_in = in + num_lines_in * in_stride;
uint8_t* const row_out = out + num_lines_out * out_stride;
uint8_t* const row_in = in + (uint64_t)num_lines_in * in_stride;
uint8_t* const row_out = out + (uint64_t)num_lines_out * out_stride;
const int lines_left = mb_h - num_lines_in;
const int needed_lines = WebPRescaleNeededLines(dec->rescaler, lines_left);
int lines_imported;
@@ -796,7 +826,8 @@ static void ProcessRows(VP8LDecoder* const dec, int row) {
const WebPDecBuffer* const output = dec->output_;
if (WebPIsRGBMode(output->colorspace)) { // convert to RGBA
const WebPRGBABuffer* const buf = &output->u.RGBA;
uint8_t* const rgba = buf->rgba + dec->last_out_row_ * buf->stride;
uint8_t* const rgba =
buf->rgba + (int64_t)dec->last_out_row_ * buf->stride;
const int num_rows_out =
#if !defined(WEBP_REDUCE_SIZE)
io->use_scaling ?
@@ -1077,12 +1108,10 @@ static int DecodeAlphaData(VP8LDecoder* const dec, uint8_t* const data,
End:
br->eos_ = VP8LIsEndOfStream(br);
if (!ok || (br->eos_ && pos < end)) {
ok = 0;
dec->status_ = br->eos_ ? VP8_STATUS_SUSPENDED
: VP8_STATUS_BITSTREAM_ERROR;
} else {
dec->last_pixel_ = pos;
return VP8LSetError(
dec, br->eos_ ? VP8_STATUS_SUSPENDED : VP8_STATUS_BITSTREAM_ERROR);
}
dec->last_pixel_ = pos;
return ok;
}
@@ -1232,9 +1261,20 @@ static int DecodeImageData(VP8LDecoder* const dec, uint32_t* const data,
}
br->eos_ = VP8LIsEndOfStream(br);
if (dec->incremental_ && br->eos_ && src < src_end) {
// In incremental decoding:
// br->eos_ && src < src_last: if 'br' reached the end of the buffer and
// 'src_last' has not been reached yet, there is not enough data. 'dec' has to
// be reset until there is more data.
// !br->eos_ && src < src_last: this cannot happen as either the buffer is
// fully read, either enough has been read to reach 'src_last'.
// src >= src_last: 'src_last' is reached, all is fine. 'src' can actually go
// beyond 'src_last' in case the image is cropped and an LZ77 goes further.
// The buffer might have been enough or there is some left. 'br->eos_' does
// not matter.
assert(!dec->incremental_ || (br->eos_ && src < src_last) || src >= src_last);
if (dec->incremental_ && br->eos_ && src < src_last) {
RestoreState(dec);
} else if (!br->eos_) {
} else if ((dec->incremental_ && src >= src_last) || !br->eos_) {
// Process the remaining rows corresponding to last row-block.
if (process_func != NULL) {
process_func(dec, row > last_row ? last_row : row);
@@ -1249,8 +1289,7 @@ static int DecodeImageData(VP8LDecoder* const dec, uint32_t* const data,
return 1;
Error:
dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
return 0;
return VP8LSetError(dec, VP8_STATUS_BITSTREAM_ERROR);
}
// -----------------------------------------------------------------------------
@@ -1276,7 +1315,7 @@ static int ExpandColorMap(int num_colors, VP8LTransform* const transform) {
uint8_t* const new_data = (uint8_t*)new_color_map;
new_color_map[0] = transform->data_[0];
for (i = 4; i < 4 * num_colors; ++i) {
// Equivalent to AddPixelEq(), on a byte-basis.
// Equivalent to VP8LAddPixels(), on a byte-basis.
new_data[i] = (data[i] + new_data[i - 4]) & 0xff;
}
for (; i < 4 * final_num_colors; ++i) {
@@ -1317,7 +1356,7 @@ static int ReadTransform(int* const xsize, int const* ysize,
transform->bits_),
VP8LSubSampleSize(transform->ysize_,
transform->bits_),
0, dec, &transform->data_);
/*is_level0=*/0, dec, &transform->data_);
break;
case COLOR_INDEXING_TRANSFORM: {
const int num_colors = VP8LReadBits(br, 8) + 1;
@@ -1327,11 +1366,14 @@ static int ReadTransform(int* const xsize, int const* ysize,
: 3;
*xsize = VP8LSubSampleSize(transform->xsize_, bits);
transform->bits_ = bits;
ok = DecodeImageStream(num_colors, 1, 0, dec, &transform->data_);
ok = ok && ExpandColorMap(num_colors, transform);
ok = DecodeImageStream(num_colors, /*ysize=*/1, /*is_level0=*/0, dec,
&transform->data_);
if (ok && !ExpandColorMap(num_colors, transform)) {
return VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
}
break;
}
case SUBTRACT_GREEN:
case SUBTRACT_GREEN_TRANSFORM:
break;
default:
assert(0); // can't happen
@@ -1353,7 +1395,7 @@ static void ClearMetadata(VP8LMetadata* const hdr) {
assert(hdr != NULL);
WebPSafeFree(hdr->huffman_image_);
WebPSafeFree(hdr->huffman_tables_);
VP8LHuffmanTablesDeallocate(&hdr->huffman_tables_);
VP8LHtreeGroupsFree(hdr->htree_groups_);
VP8LColorCacheClear(&hdr->color_cache_);
VP8LColorCacheClear(&hdr->saved_color_cache_);
@@ -1434,7 +1476,7 @@ static int DecodeImageStream(int xsize, int ysize,
color_cache_bits = VP8LReadBits(br, 4);
ok = (color_cache_bits >= 1 && color_cache_bits <= MAX_CACHE_BITS);
if (!ok) {
dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
VP8LSetError(dec, VP8_STATUS_BITSTREAM_ERROR);
goto End;
}
}
@@ -1443,7 +1485,7 @@ static int DecodeImageStream(int xsize, int ysize,
ok = ok && ReadHuffmanCodes(dec, transform_xsize, transform_ysize,
color_cache_bits, is_level0);
if (!ok) {
dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
VP8LSetError(dec, VP8_STATUS_BITSTREAM_ERROR);
goto End;
}
@@ -1451,8 +1493,7 @@ static int DecodeImageStream(int xsize, int ysize,
if (color_cache_bits > 0) {
hdr->color_cache_size_ = 1 << color_cache_bits;
if (!VP8LColorCacheInit(&hdr->color_cache_, color_cache_bits)) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
ok = 0;
ok = VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
goto End;
}
} else {
@@ -1469,8 +1510,7 @@ static int DecodeImageStream(int xsize, int ysize,
const uint64_t total_size = (uint64_t)transform_xsize * transform_ysize;
data = (uint32_t*)WebPSafeMalloc(total_size, sizeof(*data));
if (data == NULL) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
ok = 0;
ok = VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
goto End;
}
}
@@ -1514,9 +1554,8 @@ static int AllocateInternalBuffers32b(VP8LDecoder* const dec, int final_width) {
assert(dec->width_ <= final_width);
dec->pixels_ = (uint32_t*)WebPSafeMalloc(total_num_pixels, sizeof(uint32_t));
if (dec->pixels_ == NULL) {
dec->argb_cache_ = NULL; // for sanity check
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
return 0;
dec->argb_cache_ = NULL; // for soundness
return VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
}
dec->argb_cache_ = dec->pixels_ + num_pixels + cache_top_pixels;
return 1;
@@ -1524,11 +1563,10 @@ static int AllocateInternalBuffers32b(VP8LDecoder* const dec, int final_width) {
static int AllocateInternalBuffers8b(VP8LDecoder* const dec) {
const uint64_t total_num_pixels = (uint64_t)dec->width_ * dec->height_;
dec->argb_cache_ = NULL; // for sanity check
dec->argb_cache_ = NULL; // for soundness
dec->pixels_ = (uint32_t*)WebPSafeMalloc(total_num_pixels, sizeof(uint8_t));
if (dec->pixels_ == NULL) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
return 0;
return VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
}
return 1;
}
@@ -1583,7 +1621,8 @@ int VP8LDecodeAlphaHeader(ALPHDecoder* const alph_dec,
dec->status_ = VP8_STATUS_OK;
VP8LInitBitReader(&dec->br_, data, data_size);
if (!DecodeImageStream(alph_dec->width_, alph_dec->height_, 1, dec, NULL)) {
if (!DecodeImageStream(alph_dec->width_, alph_dec->height_, /*is_level0=*/1,
dec, /*decoded_data=*/NULL)) {
goto Err;
}
@@ -1638,22 +1677,24 @@ int VP8LDecodeHeader(VP8LDecoder* const dec, VP8Io* const io) {
if (dec == NULL) return 0;
if (io == NULL) {
dec->status_ = VP8_STATUS_INVALID_PARAM;
return 0;
return VP8LSetError(dec, VP8_STATUS_INVALID_PARAM);
}
dec->io_ = io;
dec->status_ = VP8_STATUS_OK;
VP8LInitBitReader(&dec->br_, io->data, io->data_size);
if (!ReadImageInfo(&dec->br_, &width, &height, &has_alpha)) {
dec->status_ = VP8_STATUS_BITSTREAM_ERROR;
VP8LSetError(dec, VP8_STATUS_BITSTREAM_ERROR);
goto Error;
}
dec->state_ = READ_DIM;
io->width = width;
io->height = height;
if (!DecodeImageStream(width, height, 1, dec, NULL)) goto Error;
if (!DecodeImageStream(width, height, /*is_level0=*/1, dec,
/*decoded_data=*/NULL)) {
goto Error;
}
return 1;
Error:
@@ -1666,10 +1707,9 @@ int VP8LDecodeImage(VP8LDecoder* const dec) {
VP8Io* io = NULL;
WebPDecParams* params = NULL;
// Sanity checks.
if (dec == NULL) return 0;
assert(dec->hdr_.huffman_tables_ != NULL);
assert(dec->hdr_.huffman_tables_.root.start != NULL);
assert(dec->hdr_.htree_groups_ != NULL);
assert(dec->hdr_.num_htree_groups_ > 0);
@@ -1684,7 +1724,7 @@ int VP8LDecodeImage(VP8LDecoder* const dec) {
assert(dec->output_ != NULL);
if (!WebPIoInitFromOptions(params->options, io, MODE_BGRA)) {
dec->status_ = VP8_STATUS_INVALID_PARAM;
VP8LSetError(dec, VP8_STATUS_INVALID_PARAM);
goto Err;
}
@@ -1694,7 +1734,7 @@ int VP8LDecodeImage(VP8LDecoder* const dec) {
if (io->use_scaling && !AllocateAndInitRescaler(dec, io)) goto Err;
#else
if (io->use_scaling) {
dec->status_ = VP8_STATUS_INVALID_PARAM;
VP8LSetError(dec, VP8_STATUS_INVALID_PARAM);
goto Err;
}
#endif
@@ -1712,7 +1752,7 @@ int VP8LDecodeImage(VP8LDecoder* const dec) {
dec->hdr_.saved_color_cache_.colors_ == NULL) {
if (!VP8LColorCacheInit(&dec->hdr_.saved_color_cache_,
dec->hdr_.color_cache_.hash_bits_)) {
dec->status_ = VP8_STATUS_OUT_OF_MEMORY;
VP8LSetError(dec, VP8_STATUS_OUT_OF_MEMORY);
goto Err;
}
}
+14 -1
View File
@@ -51,7 +51,7 @@ typedef struct {
uint32_t* huffman_image_;
int num_htree_groups_;
HTreeGroup* htree_groups_;
HuffmanCode* huffman_tables_;
HuffmanTables huffman_tables_;
} VP8LMetadata;
typedef struct VP8LDecoder VP8LDecoder;
@@ -126,6 +126,19 @@ void VP8LClear(VP8LDecoder* const dec);
// Clears and deallocate a lossless decoder instance.
void VP8LDelete(VP8LDecoder* const dec);
// Helper function for reading the different Huffman codes and storing them in
// 'huffman_tables' and 'htree_groups'.
// If mapping is NULL 'num_htree_groups_max' must equal 'num_htree_groups'.
// If it is not NULL, it maps 'num_htree_groups_max' indices to the
// 'num_htree_groups' groups. If 'num_htree_groups_max' > 'num_htree_groups',
// some of those indices map to -1. This is used for non-balanced codes to
// limit memory usage.
int ReadHuffmanCodesHelper(int color_cache_bits, int num_htree_groups,
int num_htree_groups_max, const int* const mapping,
VP8LDecoder* const dec,
HuffmanTables* const huffman_tables,
HTreeGroup** const htree_groups);
//------------------------------------------------------------------------------
#ifdef __cplusplus
+32 -18
View File
@@ -179,7 +179,7 @@ static VP8StatusCode ParseOptionalChunks(const uint8_t** const data,
return VP8_STATUS_BITSTREAM_ERROR; // Not a valid chunk size.
}
// For odd-sized chunk-payload, there's one byte padding at the end.
disk_chunk_size = (CHUNK_HEADER_SIZE + chunk_size + 1) & ~1;
disk_chunk_size = (CHUNK_HEADER_SIZE + chunk_size + 1) & ~1u;
total_size += disk_chunk_size;
// Check that total bytes skipped so far does not exceed riff_size.
@@ -658,19 +658,26 @@ uint8_t* WebPDecodeBGRA(const uint8_t* data, size_t data_size,
uint8_t* WebPDecodeYUV(const uint8_t* data, size_t data_size,
int* width, int* height, uint8_t** u, uint8_t** v,
int* stride, int* uv_stride) {
WebPDecBuffer output; // only to preserve the side-infos
uint8_t* const out = Decode(MODE_YUV, data, data_size,
width, height, &output);
if (out != NULL) {
const WebPYUVABuffer* const buf = &output.u.YUVA;
*u = buf->u;
*v = buf->v;
*stride = buf->y_stride;
*uv_stride = buf->u_stride;
assert(buf->u_stride == buf->v_stride);
// data, width and height are checked by Decode().
if (u == NULL || v == NULL || stride == NULL || uv_stride == NULL) {
return NULL;
}
{
WebPDecBuffer output; // only to preserve the side-infos
uint8_t* const out = Decode(MODE_YUV, data, data_size,
width, height, &output);
if (out != NULL) {
const WebPYUVABuffer* const buf = &output.u.YUVA;
*u = buf->u;
*v = buf->v;
*stride = buf->y_stride;
*uv_stride = buf->u_stride;
assert(buf->u_stride == buf->v_stride);
}
return out;
}
return out;
}
static void DefaultFeatures(WebPBitstreamFeatures* const features) {
@@ -785,6 +792,13 @@ VP8StatusCode WebPDecode(const uint8_t* data, size_t data_size,
//------------------------------------------------------------------------------
// Cropping and rescaling.
int WebPCheckCropDimensions(int image_width, int image_height,
int x, int y, int w, int h) {
return !(x < 0 || y < 0 || w <= 0 || h <= 0 ||
x >= image_width || w > image_width || w > image_width - x ||
y >= image_height || h > image_height || h > image_height - y);
}
int WebPIoInitFromOptions(const WebPDecoderOptions* const options,
VP8Io* const io, WEBP_CSP_MODE src_colorspace) {
const int W = io->width;
@@ -792,7 +806,7 @@ int WebPIoInitFromOptions(const WebPDecoderOptions* const options,
int x = 0, y = 0, w = W, h = H;
// Cropping
io->use_cropping = (options != NULL) && (options->use_cropping > 0);
io->use_cropping = (options != NULL) && options->use_cropping;
if (io->use_cropping) {
w = options->crop_width;
h = options->crop_height;
@@ -802,7 +816,7 @@ int WebPIoInitFromOptions(const WebPDecoderOptions* const options,
x &= ~1;
y &= ~1;
}
if (x < 0 || y < 0 || w <= 0 || h <= 0 || x + w > W || y + h > H) {
if (!WebPCheckCropDimensions(W, H, x, y, w, h)) {
return 0; // out of frame boundary error
}
}
@@ -814,7 +828,7 @@ int WebPIoInitFromOptions(const WebPDecoderOptions* const options,
io->mb_h = h;
// Scaling
io->use_scaling = (options != NULL) && (options->use_scaling > 0);
io->use_scaling = (options != NULL) && options->use_scaling;
if (io->use_scaling) {
int scaled_width = options->scaled_width;
int scaled_height = options->scaled_height;
@@ -835,8 +849,8 @@ int WebPIoInitFromOptions(const WebPDecoderOptions* const options,
if (io->use_scaling) {
// disable filter (only for large downscaling ratio).
io->bypass_filtering = (io->scaled_width < W * 3 / 4) &&
(io->scaled_height < H * 3 / 4);
io->bypass_filtering |= (io->scaled_width < W * 3 / 4) &&
(io->scaled_height < H * 3 / 4);
io->fancy_upsampling = 0;
}
return 1;
+4
View File
@@ -77,6 +77,10 @@ VP8StatusCode WebPParseHeaders(WebPHeaderStructure* const headers);
//------------------------------------------------------------------------------
// Misc utils
// Returns true if crop dimensions are within image bounds.
int WebPCheckCropDimensions(int image_width, int image_height,
int x, int y, int w, int h);
// Initializes VP8Io with custom setup, io and teardown functions. The default
// hooks will use the supplied 'params' as io->opaque handle.
void WebPInitCustomIo(WebPDecParams* const params, VP8Io* const io);
+34 -18
View File
@@ -23,6 +23,14 @@
#define NUM_CHANNELS 4
// Channel extraction from a uint32_t representation of a uint8_t RGBA/BGRA
// buffer.
#ifdef WORDS_BIGENDIAN
#define CHANNEL_SHIFT(i) (24 - (i) * 8)
#else
#define CHANNEL_SHIFT(i) ((i) * 8)
#endif
typedef void (*BlendRowFunc)(uint32_t* const, const uint32_t* const, int);
static void BlendPixelRowNonPremult(uint32_t* const src,
const uint32_t* const dst, int num_pixels);
@@ -87,11 +95,19 @@ WebPAnimDecoder* WebPAnimDecoderNewInternal(
int abi_version) {
WebPAnimDecoderOptions options;
WebPAnimDecoder* dec = NULL;
WebPBitstreamFeatures features;
if (webp_data == NULL ||
WEBP_ABI_IS_INCOMPATIBLE(abi_version, WEBP_DEMUX_ABI_VERSION)) {
return NULL;
}
// Validate the bitstream before doing expensive allocations. The demuxer may
// be more tolerant than the decoder.
if (WebPGetFeatures(webp_data->bytes, webp_data->size, &features) !=
VP8_STATUS_OK) {
return NULL;
}
// Note: calloc() so that the pointer members are initialized to NULL.
dec = (WebPAnimDecoder*)WebPSafeCalloc(1ULL, sizeof(*dec));
if (dec == NULL) goto Error;
@@ -145,7 +161,7 @@ static int ZeroFillCanvas(uint8_t* buf, uint32_t canvas_width,
uint32_t canvas_height) {
const uint64_t size =
(uint64_t)canvas_width * canvas_height * NUM_CHANNELS * sizeof(*buf);
if (size != (size_t)size) return 0;
if (!CheckSizeOverflow(size)) return 0;
memset(buf, 0, (size_t)size);
return 1;
}
@@ -166,7 +182,7 @@ static void ZeroFillFrameRect(uint8_t* buf, int buf_stride, int x_offset,
static int CopyCanvas(const uint8_t* src, uint8_t* dst,
uint32_t width, uint32_t height) {
const uint64_t size = (uint64_t)width * height * NUM_CHANNELS;
if (size != (size_t)size) return 0;
if (!CheckSizeOverflow(size)) return 0;
assert(src != NULL && dst != NULL);
memcpy(dst, src, (size_t)size);
return 1;
@@ -201,35 +217,35 @@ static uint8_t BlendChannelNonPremult(uint32_t src, uint8_t src_a,
const uint8_t dst_channel = (dst >> shift) & 0xff;
const uint32_t blend_unscaled = src_channel * src_a + dst_channel * dst_a;
assert(blend_unscaled < (1ULL << 32) / scale);
return (blend_unscaled * scale) >> 24;
return (blend_unscaled * scale) >> CHANNEL_SHIFT(3);
}
// Blend 'src' over 'dst' assuming they are NOT pre-multiplied by alpha.
static uint32_t BlendPixelNonPremult(uint32_t src, uint32_t dst) {
const uint8_t src_a = (src >> 24) & 0xff;
const uint8_t src_a = (src >> CHANNEL_SHIFT(3)) & 0xff;
if (src_a == 0) {
return dst;
} else {
const uint8_t dst_a = (dst >> 24) & 0xff;
const uint8_t dst_a = (dst >> CHANNEL_SHIFT(3)) & 0xff;
// This is the approximate integer arithmetic for the actual formula:
// dst_factor_a = (dst_a * (255 - src_a)) / 255.
const uint8_t dst_factor_a = (dst_a * (256 - src_a)) >> 8;
const uint8_t blend_a = src_a + dst_factor_a;
const uint32_t scale = (1UL << 24) / blend_a;
const uint8_t blend_r =
BlendChannelNonPremult(src, src_a, dst, dst_factor_a, scale, 0);
const uint8_t blend_g =
BlendChannelNonPremult(src, src_a, dst, dst_factor_a, scale, 8);
const uint8_t blend_b =
BlendChannelNonPremult(src, src_a, dst, dst_factor_a, scale, 16);
const uint8_t blend_r = BlendChannelNonPremult(
src, src_a, dst, dst_factor_a, scale, CHANNEL_SHIFT(0));
const uint8_t blend_g = BlendChannelNonPremult(
src, src_a, dst, dst_factor_a, scale, CHANNEL_SHIFT(1));
const uint8_t blend_b = BlendChannelNonPremult(
src, src_a, dst, dst_factor_a, scale, CHANNEL_SHIFT(2));
assert(src_a + dst_factor_a < 256);
return (blend_r << 0) |
(blend_g << 8) |
(blend_b << 16) |
((uint32_t)blend_a << 24);
return ((uint32_t)blend_r << CHANNEL_SHIFT(0)) |
((uint32_t)blend_g << CHANNEL_SHIFT(1)) |
((uint32_t)blend_b << CHANNEL_SHIFT(2)) |
((uint32_t)blend_a << CHANNEL_SHIFT(3));
}
}
@@ -239,7 +255,7 @@ static void BlendPixelRowNonPremult(uint32_t* const src,
const uint32_t* const dst, int num_pixels) {
int i;
for (i = 0; i < num_pixels; ++i) {
const uint8_t src_alpha = (src[i] >> 24) & 0xff;
const uint8_t src_alpha = (src[i] >> CHANNEL_SHIFT(3)) & 0xff;
if (src_alpha != 0xff) {
src[i] = BlendPixelNonPremult(src[i], dst[i]);
}
@@ -256,7 +272,7 @@ static WEBP_INLINE uint32_t ChannelwiseMultiply(uint32_t pix, uint32_t scale) {
// Blend 'src' over 'dst' assuming they are pre-multiplied by alpha.
static uint32_t BlendPixelPremult(uint32_t src, uint32_t dst) {
const uint8_t src_a = (src >> 24) & 0xff;
const uint8_t src_a = (src >> CHANNEL_SHIFT(3)) & 0xff;
return src + ChannelwiseMultiply(dst, 256 - src_a);
}
@@ -266,7 +282,7 @@ static void BlendPixelRowPremult(uint32_t* const src, const uint32_t* const dst,
int num_pixels) {
int i;
for (i = 0; i < num_pixels; ++i) {
const uint8_t src_alpha = (src[i] >> 24) & 0xff;
const uint8_t src_alpha = (src[i] >> CHANNEL_SHIFT(3)) & 0xff;
if (src_alpha != 0xff) {
src[i] = BlendPixelPremult(src[i], dst[i]);
}
+13 -10
View File
@@ -24,8 +24,8 @@
#include "src/webp/format_constants.h"
#define DMUX_MAJ_VERSION 1
#define DMUX_MIN_VERSION 2
#define DMUX_REV_VERSION 0
#define DMUX_MIN_VERSION 3
#define DMUX_REV_VERSION 1
typedef struct {
size_t start_; // start location of the data
@@ -221,12 +221,16 @@ static ParseStatus StoreFrame(int frame_num, uint32_t min_size,
const size_t chunk_start_offset = mem->start_;
const uint32_t fourcc = ReadLE32(mem);
const uint32_t payload_size = ReadLE32(mem);
const uint32_t payload_size_padded = payload_size + (payload_size & 1);
const size_t payload_available = (payload_size_padded > MemDataSize(mem))
? MemDataSize(mem) : payload_size_padded;
const size_t chunk_size = CHUNK_HEADER_SIZE + payload_available;
uint32_t payload_size_padded;
size_t payload_available;
size_t chunk_size;
if (payload_size > MAX_CHUNK_PAYLOAD) return PARSE_ERROR;
payload_size_padded = payload_size + (payload_size & 1);
payload_available = (payload_size_padded > MemDataSize(mem))
? MemDataSize(mem) : payload_size_padded;
chunk_size = CHUNK_HEADER_SIZE + payload_available;
if (SizeIsInvalid(mem, payload_size_padded)) return PARSE_ERROR;
if (payload_size_padded > MemDataSize(mem)) status = PARSE_NEED_MORE_DATA;
@@ -451,9 +455,11 @@ static ParseStatus ParseVP8XChunks(WebPDemuxer* const dmux) {
const size_t chunk_start_offset = mem->start_;
const uint32_t fourcc = ReadLE32(mem);
const uint32_t chunk_size = ReadLE32(mem);
const uint32_t chunk_size_padded = chunk_size + (chunk_size & 1);
uint32_t chunk_size_padded;
if (chunk_size > MAX_CHUNK_PAYLOAD) return PARSE_ERROR;
chunk_size_padded = chunk_size + (chunk_size & 1);
if (SizeIsInvalid(mem, chunk_size_padded)) return PARSE_ERROR;
switch (fourcc) {
@@ -608,7 +614,6 @@ static int IsValidExtendedFormat(const WebPDemuxer* const dmux) {
while (f != NULL) {
const int cur_frame_set = f->frame_num_;
int frame_count = 0;
// Check frame properties.
for (; f != NULL && f->frame_num_ == cur_frame_set; f = f->next_) {
@@ -643,8 +648,6 @@ static int IsValidExtendedFormat(const WebPDemuxer* const dmux) {
dmux->canvas_width_, dmux->canvas_height_)) {
return 0;
}
++frame_count;
}
}
return 1;
+41 -25
View File
@@ -157,7 +157,8 @@ void WebPMultARGBRow_C(uint32_t* const ptr, int width, int inverse) {
}
}
void WebPMultRow_C(uint8_t* const ptr, const uint8_t* const alpha,
void WebPMultRow_C(uint8_t* WEBP_RESTRICT const ptr,
const uint8_t* WEBP_RESTRICT const alpha,
int width, int inverse) {
int x;
for (x = 0; x < width; ++x) {
@@ -178,7 +179,8 @@ void WebPMultRow_C(uint8_t* const ptr, const uint8_t* const alpha,
#undef MFIX
void (*WebPMultARGBRow)(uint32_t* const ptr, int width, int inverse);
void (*WebPMultRow)(uint8_t* const ptr, const uint8_t* const alpha,
void (*WebPMultRow)(uint8_t* WEBP_RESTRICT const ptr,
const uint8_t* WEBP_RESTRICT const alpha,
int width, int inverse);
//------------------------------------------------------------------------------
@@ -193,8 +195,8 @@ void WebPMultARGBRows(uint8_t* ptr, int stride, int width, int num_rows,
}
}
void WebPMultRows(uint8_t* ptr, int stride,
const uint8_t* alpha, int alpha_stride,
void WebPMultRows(uint8_t* WEBP_RESTRICT ptr, int stride,
const uint8_t* WEBP_RESTRICT alpha, int alpha_stride,
int width, int num_rows, int inverse) {
int n;
for (n = 0; n < num_rows; ++n) {
@@ -290,9 +292,9 @@ static void ApplyAlphaMultiply_16b_C(uint8_t* rgba4444,
}
#if !WEBP_NEON_OMIT_C_CODE
static int DispatchAlpha_C(const uint8_t* alpha, int alpha_stride,
static int DispatchAlpha_C(const uint8_t* WEBP_RESTRICT alpha, int alpha_stride,
int width, int height,
uint8_t* dst, int dst_stride) {
uint8_t* WEBP_RESTRICT dst, int dst_stride) {
uint32_t alpha_mask = 0xff;
int i, j;
@@ -309,9 +311,10 @@ static int DispatchAlpha_C(const uint8_t* alpha, int alpha_stride,
return (alpha_mask != 0xff);
}
static void DispatchAlphaToGreen_C(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint32_t* dst, int dst_stride) {
static void DispatchAlphaToGreen_C(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint32_t* WEBP_RESTRICT dst,
int dst_stride) {
int i, j;
for (j = 0; j < height; ++j) {
for (i = 0; i < width; ++i) {
@@ -322,9 +325,9 @@ static void DispatchAlphaToGreen_C(const uint8_t* alpha, int alpha_stride,
}
}
static int ExtractAlpha_C(const uint8_t* argb, int argb_stride,
static int ExtractAlpha_C(const uint8_t* WEBP_RESTRICT argb, int argb_stride,
int width, int height,
uint8_t* alpha, int alpha_stride) {
uint8_t* WEBP_RESTRICT alpha, int alpha_stride) {
uint8_t alpha_mask = 0xff;
int i, j;
@@ -340,7 +343,8 @@ static int ExtractAlpha_C(const uint8_t* argb, int argb_stride,
return (alpha_mask == 0xff);
}
static void ExtractGreen_C(const uint32_t* argb, uint8_t* alpha, int size) {
static void ExtractGreen_C(const uint32_t* WEBP_RESTRICT argb,
uint8_t* WEBP_RESTRICT alpha, int size) {
int i;
for (i = 0; i < size; ++i) alpha[i] = argb[i] >> 8;
}
@@ -372,8 +376,11 @@ static WEBP_INLINE uint32_t MakeARGB32(int a, int r, int g, int b) {
}
#ifdef WORDS_BIGENDIAN
static void PackARGB_C(const uint8_t* a, const uint8_t* r, const uint8_t* g,
const uint8_t* b, int len, uint32_t* out) {
static void PackARGB_C(const uint8_t* WEBP_RESTRICT a,
const uint8_t* WEBP_RESTRICT r,
const uint8_t* WEBP_RESTRICT g,
const uint8_t* WEBP_RESTRICT b,
int len, uint32_t* WEBP_RESTRICT out) {
int i;
for (i = 0; i < len; ++i) {
out[i] = MakeARGB32(a[4 * i], r[4 * i], g[4 * i], b[4 * i]);
@@ -381,8 +388,10 @@ static void PackARGB_C(const uint8_t* a, const uint8_t* r, const uint8_t* g,
}
#endif
static void PackRGB_C(const uint8_t* r, const uint8_t* g, const uint8_t* b,
int len, int step, uint32_t* out) {
static void PackRGB_C(const uint8_t* WEBP_RESTRICT r,
const uint8_t* WEBP_RESTRICT g,
const uint8_t* WEBP_RESTRICT b,
int len, int step, uint32_t* WEBP_RESTRICT out) {
int i, offset = 0;
for (i = 0; i < len; ++i) {
out[i] = MakeARGB32(0xff, r[offset], g[offset], b[offset]);
@@ -392,16 +401,22 @@ static void PackRGB_C(const uint8_t* r, const uint8_t* g, const uint8_t* b,
void (*WebPApplyAlphaMultiply)(uint8_t*, int, int, int, int);
void (*WebPApplyAlphaMultiply4444)(uint8_t*, int, int, int);
int (*WebPDispatchAlpha)(const uint8_t*, int, int, int, uint8_t*, int);
void (*WebPDispatchAlphaToGreen)(const uint8_t*, int, int, int, uint32_t*, int);
int (*WebPExtractAlpha)(const uint8_t*, int, int, int, uint8_t*, int);
void (*WebPExtractGreen)(const uint32_t* argb, uint8_t* alpha, int size);
int (*WebPDispatchAlpha)(const uint8_t* WEBP_RESTRICT, int, int, int,
uint8_t* WEBP_RESTRICT, int);
void (*WebPDispatchAlphaToGreen)(const uint8_t* WEBP_RESTRICT, int, int, int,
uint32_t* WEBP_RESTRICT, int);
int (*WebPExtractAlpha)(const uint8_t* WEBP_RESTRICT, int, int, int,
uint8_t* WEBP_RESTRICT, int);
void (*WebPExtractGreen)(const uint32_t* WEBP_RESTRICT argb,
uint8_t* WEBP_RESTRICT alpha, int size);
#ifdef WORDS_BIGENDIAN
void (*WebPPackARGB)(const uint8_t* a, const uint8_t* r, const uint8_t* g,
const uint8_t* b, int, uint32_t*);
#endif
void (*WebPPackRGB)(const uint8_t* r, const uint8_t* g, const uint8_t* b,
int len, int step, uint32_t* out);
void (*WebPPackRGB)(const uint8_t* WEBP_RESTRICT r,
const uint8_t* WEBP_RESTRICT g,
const uint8_t* WEBP_RESTRICT b,
int len, int step, uint32_t* WEBP_RESTRICT out);
int (*WebPHasAlpha8b)(const uint8_t* src, int length);
int (*WebPHasAlpha32b)(const uint8_t* src, int length);
@@ -410,6 +425,7 @@ void (*WebPAlphaReplace)(uint32_t* src, int length, uint32_t color);
//------------------------------------------------------------------------------
// Init function
extern VP8CPUInfo VP8GetCPUInfo;
extern void WebPInitAlphaProcessingMIPSdspR2(void);
extern void WebPInitAlphaProcessingSSE2(void);
extern void WebPInitAlphaProcessingSSE41(void);
@@ -438,10 +454,10 @@ WEBP_DSP_INIT_FUNC(WebPInitAlphaProcessing) {
// If defined, use CPUInfo() to overwrite some pointers with faster versions.
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
WebPInitAlphaProcessingSSE2();
#if defined(WEBP_USE_SSE41)
#if defined(WEBP_HAVE_SSE41)
if (VP8GetCPUInfo(kSSE4_1)) {
WebPInitAlphaProcessingSSE41();
}
@@ -455,7 +471,7 @@ WEBP_DSP_INIT_FUNC(WebPInitAlphaProcessing) {
#endif
}
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(VP8GetCPUInfo != NULL && VP8GetCPUInfo(kNEON))) {
WebPInitAlphaProcessingNEON();
+15 -12
View File
@@ -80,10 +80,10 @@ static void ApplyAlphaMultiply_NEON(uint8_t* rgba, int alpha_first,
//------------------------------------------------------------------------------
static int DispatchAlpha_NEON(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint8_t* dst, int dst_stride) {
uint32_t alpha_mask = 0xffffffffu;
static int DispatchAlpha_NEON(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint8_t* WEBP_RESTRICT dst, int dst_stride) {
uint32_t alpha_mask = 0xffu;
uint8x8_t mask8 = vdup_n_u8(0xff);
uint32_t tmp[2];
int i, j;
@@ -107,14 +107,16 @@ static int DispatchAlpha_NEON(const uint8_t* alpha, int alpha_stride,
dst += dst_stride;
}
vst1_u8((uint8_t*)tmp, mask8);
alpha_mask *= 0x01010101;
alpha_mask &= tmp[0];
alpha_mask &= tmp[1];
return (alpha_mask != 0xffffffffu);
}
static void DispatchAlphaToGreen_NEON(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint32_t* dst, int dst_stride) {
static void DispatchAlphaToGreen_NEON(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint32_t* WEBP_RESTRICT dst,
int dst_stride) {
int i, j;
uint8x8x4_t greens; // leave A/R/B channels zero'd.
greens.val[0] = vdup_n_u8(0);
@@ -131,10 +133,10 @@ static void DispatchAlphaToGreen_NEON(const uint8_t* alpha, int alpha_stride,
}
}
static int ExtractAlpha_NEON(const uint8_t* argb, int argb_stride,
static int ExtractAlpha_NEON(const uint8_t* WEBP_RESTRICT argb, int argb_stride,
int width, int height,
uint8_t* alpha, int alpha_stride) {
uint32_t alpha_mask = 0xffffffffu;
uint8_t* WEBP_RESTRICT alpha, int alpha_stride) {
uint32_t alpha_mask = 0xffu;
uint8x8_t mask8 = vdup_n_u8(0xff);
uint32_t tmp[2];
int i, j;
@@ -156,13 +158,14 @@ static int ExtractAlpha_NEON(const uint8_t* argb, int argb_stride,
alpha += alpha_stride;
}
vst1_u8((uint8_t*)tmp, mask8);
alpha_mask *= 0x01010101;
alpha_mask &= tmp[0];
alpha_mask &= tmp[1];
return (alpha_mask == 0xffffffffu);
}
static void ExtractGreen_NEON(const uint32_t* argb,
uint8_t* alpha, int size) {
static void ExtractGreen_NEON(const uint32_t* WEBP_RESTRICT argb,
uint8_t* WEBP_RESTRICT alpha, int size) {
int i;
for (i = 0; i + 16 <= size; i += 16) {
const uint8x16x4_t rgbX = vld4q_u8((const uint8_t*)(argb + i));
+58 -15
View File
@@ -18,16 +18,16 @@
//------------------------------------------------------------------------------
static int DispatchAlpha_SSE2(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint8_t* dst, int dst_stride) {
static int DispatchAlpha_SSE2(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint8_t* WEBP_RESTRICT dst, int dst_stride) {
// alpha_and stores an 'and' operation of all the alpha[] values. The final
// value is not 0xff if any of the alpha[] is not equal to 0xff.
uint32_t alpha_and = 0xff;
int i, j;
const __m128i zero = _mm_setzero_si128();
const __m128i rgb_mask = _mm_set1_epi32(0xffffff00u); // to preserve RGB
const __m128i all_0xff = _mm_set_epi32(0, 0, ~0u, ~0u);
const __m128i rgb_mask = _mm_set1_epi32((int)0xffffff00); // to preserve RGB
const __m128i all_0xff = _mm_set_epi32(0, 0, ~0, ~0);
__m128i all_alphas = all_0xff;
// We must be able to access 3 extra bytes after the last written byte
@@ -72,9 +72,10 @@ static int DispatchAlpha_SSE2(const uint8_t* alpha, int alpha_stride,
return (alpha_and != 0xff);
}
static void DispatchAlphaToGreen_SSE2(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint32_t* dst, int dst_stride) {
static void DispatchAlphaToGreen_SSE2(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint32_t* WEBP_RESTRICT dst,
int dst_stride) {
int i, j;
const __m128i zero = _mm_setzero_si128();
const int limit = width & ~15;
@@ -98,15 +99,15 @@ static void DispatchAlphaToGreen_SSE2(const uint8_t* alpha, int alpha_stride,
}
}
static int ExtractAlpha_SSE2(const uint8_t* argb, int argb_stride,
static int ExtractAlpha_SSE2(const uint8_t* WEBP_RESTRICT argb, int argb_stride,
int width, int height,
uint8_t* alpha, int alpha_stride) {
uint8_t* WEBP_RESTRICT alpha, int alpha_stride) {
// alpha_and stores an 'and' operation of all the alpha[] values. The final
// value is not 0xff if any of the alpha[] is not equal to 0xff.
uint32_t alpha_and = 0xff;
int i, j;
const __m128i a_mask = _mm_set1_epi32(0xffu); // to preserve alpha
const __m128i all_0xff = _mm_set_epi32(0, 0, ~0u, ~0u);
const __m128i a_mask = _mm_set1_epi32(0xff); // to preserve alpha
const __m128i all_0xff = _mm_set_epi32(0, 0, ~0, ~0);
__m128i all_alphas = all_0xff;
// We must be able to access 3 extra bytes after the last written byte
@@ -143,6 +144,46 @@ static int ExtractAlpha_SSE2(const uint8_t* argb, int argb_stride,
return (alpha_and == 0xff);
}
static void ExtractGreen_SSE2(const uint32_t* WEBP_RESTRICT argb,
uint8_t* WEBP_RESTRICT alpha, int size) {
int i;
const __m128i mask = _mm_set1_epi32(0xff);
const __m128i* src = (const __m128i*)argb;
for (i = 0; i + 16 <= size; i += 16, src += 4) {
const __m128i a0 = _mm_loadu_si128(src + 0);
const __m128i a1 = _mm_loadu_si128(src + 1);
const __m128i a2 = _mm_loadu_si128(src + 2);
const __m128i a3 = _mm_loadu_si128(src + 3);
const __m128i b0 = _mm_srli_epi32(a0, 8);
const __m128i b1 = _mm_srli_epi32(a1, 8);
const __m128i b2 = _mm_srli_epi32(a2, 8);
const __m128i b3 = _mm_srli_epi32(a3, 8);
const __m128i c0 = _mm_and_si128(b0, mask);
const __m128i c1 = _mm_and_si128(b1, mask);
const __m128i c2 = _mm_and_si128(b2, mask);
const __m128i c3 = _mm_and_si128(b3, mask);
const __m128i d0 = _mm_packs_epi32(c0, c1);
const __m128i d1 = _mm_packs_epi32(c2, c3);
const __m128i e = _mm_packus_epi16(d0, d1);
// store
_mm_storeu_si128((__m128i*)&alpha[i], e);
}
if (i + 8 <= size) {
const __m128i a0 = _mm_loadu_si128(src + 0);
const __m128i a1 = _mm_loadu_si128(src + 1);
const __m128i b0 = _mm_srli_epi32(a0, 8);
const __m128i b1 = _mm_srli_epi32(a1, 8);
const __m128i c0 = _mm_and_si128(b0, mask);
const __m128i c1 = _mm_and_si128(b1, mask);
const __m128i d = _mm_packs_epi32(c0, c1);
const __m128i e = _mm_packus_epi16(d, d);
_mm_storel_epi64((__m128i*)&alpha[i], e);
i += 8;
}
for (; i < size; ++i) alpha[i] = argb[i] >> 8;
}
//------------------------------------------------------------------------------
// Non-dither premultiplied modes
@@ -177,7 +218,7 @@ static int ExtractAlpha_SSE2(const uint8_t* argb, int argb_stride,
static void ApplyAlphaMultiply_SSE2(uint8_t* rgba, int alpha_first,
int w, int h, int stride) {
const __m128i zero = _mm_setzero_si128();
const __m128i kMult = _mm_set1_epi16(0x8081u);
const __m128i kMult = _mm_set1_epi16((short)0x8081);
const __m128i kMask = _mm_set_epi16(0, 0xff, 0xff, 0, 0, 0xff, 0xff, 0);
const int kSpan = 4;
while (h-- > 0) {
@@ -266,7 +307,7 @@ static int HasAlpha32b_SSE2(const uint8_t* src, int length) {
}
static void AlphaReplace_SSE2(uint32_t* src, int length, uint32_t color) {
const __m128i m_color = _mm_set1_epi32(color);
const __m128i m_color = _mm_set1_epi32((int)color);
const __m128i zero = _mm_setzero_si128();
int i = 0;
for (; i + 8 <= length; i += 8) {
@@ -317,7 +358,8 @@ static void MultARGBRow_SSE2(uint32_t* const ptr, int width, int inverse) {
if (width > 0) WebPMultARGBRow_C(ptr + x, width, inverse);
}
static void MultRow_SSE2(uint8_t* const ptr, const uint8_t* const alpha,
static void MultRow_SSE2(uint8_t* WEBP_RESTRICT const ptr,
const uint8_t* WEBP_RESTRICT const alpha,
int width, int inverse) {
int x = 0;
if (!inverse) {
@@ -352,6 +394,7 @@ WEBP_TSAN_IGNORE_FUNCTION void WebPInitAlphaProcessingSSE2(void) {
WebPDispatchAlpha = DispatchAlpha_SSE2;
WebPDispatchAlphaToGreen = DispatchAlphaToGreen_SSE2;
WebPExtractAlpha = ExtractAlpha_SSE2;
WebPExtractGreen = ExtractGreen_SSE2;
WebPHasAlpha8b = HasAlpha8b_SSE2;
WebPHasAlpha32b = HasAlpha32b_SSE2;
+4 -4
View File
@@ -19,14 +19,14 @@
//------------------------------------------------------------------------------
static int ExtractAlpha_SSE41(const uint8_t* argb, int argb_stride,
int width, int height,
uint8_t* alpha, int alpha_stride) {
static int ExtractAlpha_SSE41(const uint8_t* WEBP_RESTRICT argb,
int argb_stride, int width, int height,
uint8_t* WEBP_RESTRICT alpha, int alpha_stride) {
// alpha_and stores an 'and' operation of all the alpha[] values. The final
// value is not 0xff if any of the alpha[] is not equal to 0xff.
uint32_t alpha_and = 0xff;
int i, j;
const __m128i all_0xff = _mm_set1_epi32(~0u);
const __m128i all_0xff = _mm_set1_epi32(~0);
__m128i all_alphas = all_0xff;
// We must be able to access 3 extra bytes after the last written byte
+3 -2
View File
@@ -374,6 +374,7 @@ static void SetResidualCoeffs_C(const int16_t* const coeffs,
VP8GetResidualCostFunc VP8GetResidualCost;
VP8SetResidualCoeffsFunc VP8SetResidualCoeffs;
extern VP8CPUInfo VP8GetCPUInfo;
extern void VP8EncDspCostInitMIPS32(void);
extern void VP8EncDspCostInitMIPSdspR2(void);
extern void VP8EncDspCostInitSSE2(void);
@@ -395,12 +396,12 @@ WEBP_DSP_INIT_FUNC(VP8EncDspCostInit) {
VP8EncDspCostInitMIPSdspR2();
}
#endif
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8EncDspCostInitSSE2();
}
#endif
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (VP8GetCPUInfo(kNEON)) {
VP8EncDspCostInitNEON();
}
+2 -2
View File
@@ -29,7 +29,7 @@ static void SetResidualCoeffs_NEON(const int16_t* const coeffs,
const uint8x16_t eob = vcombine_u8(vqmovn_u16(eob_0), vqmovn_u16(eob_1));
const uint8x16_t masked = vandq_u8(eob, vld1q_u8(position));
#ifdef __aarch64__
#if WEBP_AARCH64
res->last = vmaxvq_u8(masked) - 1;
#else
const uint8x8_t eob_8x8 = vmax_u8(vget_low_u8(masked), vget_high_u8(masked));
@@ -43,7 +43,7 @@ static void SetResidualCoeffs_NEON(const int16_t* const coeffs,
vst1_lane_s32(&res->last, vreinterpret_s32_u32(eob_32x2), 0);
--res->last;
#endif // __aarch64__
#endif // WEBP_AARCH64
res->coeffs = coeffs;
}
+14 -7
View File
@@ -11,7 +11,7 @@
//
// Author: Christian Duvivier (cduvivier@google.com)
#include "src/dsp/dsp.h"
#include "src/dsp/cpu.h"
#if defined(WEBP_HAVE_NEON_RTCD)
#include <stdio.h>
@@ -173,6 +173,7 @@ static int x86CPUInfo(CPUFeature feature) {
}
return 0;
}
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
VP8CPUInfo VP8GetCPUInfo = x86CPUInfo;
#elif defined(WEBP_ANDROID_NEON) // NB: needs to be before generic NEON test.
static int AndroidCPUInfo(CPUFeature feature) {
@@ -184,22 +185,23 @@ static int AndroidCPUInfo(CPUFeature feature) {
}
return 0;
}
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
VP8CPUInfo VP8GetCPUInfo = AndroidCPUInfo;
#elif defined(EMSCRIPTEN) // also needs to be before generic NEON test
// Use compile flags as an indicator of SIMD support instead of a runtime check.
static int wasmCPUInfo(CPUFeature feature) {
switch (feature) {
#ifdef WEBP_USE_SSE2
#ifdef WEBP_HAVE_SSE2
case kSSE2:
return 1;
#endif
#ifdef WEBP_USE_SSE41
#ifdef WEBP_HAVE_SSE41
case kSSE3:
case kSlowSSSE3:
case kSSE4_1:
return 1;
#endif
#ifdef WEBP_USE_NEON
#ifdef WEBP_HAVE_NEON
case kNEON:
return 1;
#endif
@@ -208,10 +210,12 @@ static int wasmCPUInfo(CPUFeature feature) {
}
return 0;
}
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
VP8CPUInfo VP8GetCPUInfo = wasmCPUInfo;
#elif defined(WEBP_USE_NEON)
// define a dummy function to enable turning off NEON at runtime by setting
// VP8DecGetCPUInfo = NULL
#elif defined(WEBP_HAVE_NEON)
// In most cases this function doesn't check for NEON support (it's assumed by
// the configuration), but enables turning off NEON at runtime, for testing
// purposes, by setting VP8GetCPUInfo = NULL.
static int armCPUInfo(CPUFeature feature) {
if (feature != kNEON) return 0;
#if defined(__linux__) && defined(WEBP_HAVE_NEON_RTCD)
@@ -235,6 +239,7 @@ static int armCPUInfo(CPUFeature feature) {
return 1;
#endif
}
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
VP8CPUInfo VP8GetCPUInfo = armCPUInfo;
#elif defined(WEBP_USE_MIPS32) || defined(WEBP_USE_MIPS_DSP_R2) || \
defined(WEBP_USE_MSA)
@@ -246,7 +251,9 @@ static int mipsCPUInfo(CPUFeature feature) {
}
}
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
VP8CPUInfo VP8GetCPUInfo = mipsCPUInfo;
#else
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
VP8CPUInfo VP8GetCPUInfo = NULL;
#endif
+266
View File
@@ -0,0 +1,266 @@
// Copyright 2022 Google Inc. All Rights Reserved.
//
// Use of this source code is governed by a BSD-style license
// that can be found in the COPYING file in the root of the source
// tree. An additional intellectual property rights grant can be found
// in the file PATENTS. All contributing project authors may
// be found in the AUTHORS file in the root of the source tree.
// -----------------------------------------------------------------------------
//
// CPU detection functions and macros.
//
// Author: Skal (pascal.massimino@gmail.com)
#ifndef WEBP_DSP_CPU_H_
#define WEBP_DSP_CPU_H_
#include <stddef.h>
#ifdef HAVE_CONFIG_H
#include "src/webp/config.h"
#endif
#include "src/webp/types.h"
#if defined(__GNUC__)
#define LOCAL_GCC_VERSION ((__GNUC__ << 8) | __GNUC_MINOR__)
#define LOCAL_GCC_PREREQ(maj, min) (LOCAL_GCC_VERSION >= (((maj) << 8) | (min)))
#else
#define LOCAL_GCC_VERSION 0
#define LOCAL_GCC_PREREQ(maj, min) 0
#endif
#if defined(__clang__)
#define LOCAL_CLANG_VERSION ((__clang_major__ << 8) | __clang_minor__)
#define LOCAL_CLANG_PREREQ(maj, min) \
(LOCAL_CLANG_VERSION >= (((maj) << 8) | (min)))
#else
#define LOCAL_CLANG_VERSION 0
#define LOCAL_CLANG_PREREQ(maj, min) 0
#endif
#ifndef __has_builtin
#define __has_builtin(x) 0
#endif
//------------------------------------------------------------------------------
// x86 defines.
#if !defined(HAVE_CONFIG_H)
#if defined(_MSC_VER) && _MSC_VER > 1310 && \
(defined(_M_X64) || defined(_M_IX86))
#define WEBP_MSC_SSE2 // Visual C++ SSE2 targets
#endif
#if defined(_MSC_VER) && _MSC_VER >= 1500 && \
(defined(_M_X64) || defined(_M_IX86))
#define WEBP_MSC_SSE41 // Visual C++ SSE4.1 targets
#endif
#endif
// WEBP_HAVE_* are used to indicate the presence of the instruction set in dsp
// files without intrinsics, allowing the corresponding Init() to be called.
// Files containing intrinsics will need to be built targeting the instruction
// set so should succeed on one of the earlier tests.
#if (defined(__SSE2__) || defined(WEBP_MSC_SSE2)) && \
(!defined(HAVE_CONFIG_H) || defined(WEBP_HAVE_SSE2))
#define WEBP_USE_SSE2
#endif
#if defined(WEBP_USE_SSE2) && !defined(WEBP_HAVE_SSE2)
#define WEBP_HAVE_SSE2
#endif
#if (defined(__SSE4_1__) || defined(WEBP_MSC_SSE41)) && \
(!defined(HAVE_CONFIG_H) || defined(WEBP_HAVE_SSE41))
#define WEBP_USE_SSE41
#endif
#if defined(WEBP_USE_SSE41) && !defined(WEBP_HAVE_SSE41)
#define WEBP_HAVE_SSE41
#endif
#undef WEBP_MSC_SSE41
#undef WEBP_MSC_SSE2
//------------------------------------------------------------------------------
// Arm defines.
// The intrinsics currently cause compiler errors with arm-nacl-gcc and the
// inline assembly would need to be modified for use with Native Client.
#if ((defined(__ARM_NEON__) || defined(__aarch64__)) && \
(!defined(HAVE_CONFIG_H) || defined(WEBP_HAVE_NEON))) && \
!defined(__native_client__)
#define WEBP_USE_NEON
#endif
#if !defined(WEBP_USE_NEON) && defined(__ANDROID__) && \
defined(__ARM_ARCH_7A__) && defined(HAVE_CPU_FEATURES_H)
#define WEBP_ANDROID_NEON // Android targets that may have NEON
#define WEBP_USE_NEON
#endif
// Note: ARM64 is supported in Visual Studio 2017, but requires the direct
// inclusion of arm64_neon.h; Visual Studio 2019 includes this file in
// arm_neon.h. Compile errors were seen with Visual Studio 2019 16.4 with
// vtbl4_u8(); a fix was made in 16.6.
#if defined(_MSC_VER) && \
((_MSC_VER >= 1700 && defined(_M_ARM)) || \
(_MSC_VER >= 1926 && (defined(_M_ARM64) || defined(_M_ARM64EC))))
#define WEBP_USE_NEON
#define WEBP_USE_INTRINSICS
#endif
#if defined(__aarch64__) || defined(_M_ARM64) || defined(_M_ARM64EC)
#define WEBP_AARCH64 1
#else
#define WEBP_AARCH64 0
#endif
#if defined(WEBP_USE_NEON) && !defined(WEBP_HAVE_NEON)
#define WEBP_HAVE_NEON
#endif
//------------------------------------------------------------------------------
// MIPS defines.
#if defined(__mips__) && !defined(__mips64) && defined(__mips_isa_rev) && \
(__mips_isa_rev >= 1) && (__mips_isa_rev < 6)
#define WEBP_USE_MIPS32
#if (__mips_isa_rev >= 2)
#define WEBP_USE_MIPS32_R2
#if defined(__mips_dspr2) || (defined(__mips_dsp_rev) && __mips_dsp_rev >= 2)
#define WEBP_USE_MIPS_DSP_R2
#endif
#endif
#endif
#if defined(__mips_msa) && defined(__mips_isa_rev) && (__mips_isa_rev >= 5)
#define WEBP_USE_MSA
#endif
//------------------------------------------------------------------------------
#ifndef WEBP_DSP_OMIT_C_CODE
#define WEBP_DSP_OMIT_C_CODE 1
#endif
#if defined(WEBP_USE_NEON) && WEBP_DSP_OMIT_C_CODE
#define WEBP_NEON_OMIT_C_CODE 1
#else
#define WEBP_NEON_OMIT_C_CODE 0
#endif
#if !(LOCAL_CLANG_PREREQ(3, 8) || LOCAL_GCC_PREREQ(4, 8) || WEBP_AARCH64)
#define WEBP_NEON_WORK_AROUND_GCC 1
#else
#define WEBP_NEON_WORK_AROUND_GCC 0
#endif
//------------------------------------------------------------------------------
// This macro prevents thread_sanitizer from reporting known concurrent writes.
#define WEBP_TSAN_IGNORE_FUNCTION
#if defined(__has_feature)
#if __has_feature(thread_sanitizer)
#undef WEBP_TSAN_IGNORE_FUNCTION
#define WEBP_TSAN_IGNORE_FUNCTION __attribute__((no_sanitize_thread))
#endif
#endif
#if defined(__has_feature)
#if __has_feature(memory_sanitizer)
#define WEBP_MSAN
#endif
#endif
#if defined(WEBP_USE_THREAD) && !defined(_WIN32)
#include <pthread.h> // NOLINT
#define WEBP_DSP_INIT(func) \
do { \
static volatile VP8CPUInfo func##_last_cpuinfo_used = \
(VP8CPUInfo)&func##_last_cpuinfo_used; \
static pthread_mutex_t func##_lock = PTHREAD_MUTEX_INITIALIZER; \
if (pthread_mutex_lock(&func##_lock)) break; \
if (func##_last_cpuinfo_used != VP8GetCPUInfo) func(); \
func##_last_cpuinfo_used = VP8GetCPUInfo; \
(void)pthread_mutex_unlock(&func##_lock); \
} while (0)
#else // !(defined(WEBP_USE_THREAD) && !defined(_WIN32))
#define WEBP_DSP_INIT(func) \
do { \
static volatile VP8CPUInfo func##_last_cpuinfo_used = \
(VP8CPUInfo)&func##_last_cpuinfo_used; \
if (func##_last_cpuinfo_used == VP8GetCPUInfo) break; \
func(); \
func##_last_cpuinfo_used = VP8GetCPUInfo; \
} while (0)
#endif // defined(WEBP_USE_THREAD) && !defined(_WIN32)
// Defines an Init + helper function that control multiple initialization of
// function pointers / tables.
/* Usage:
WEBP_DSP_INIT_FUNC(InitFunc) {
...function body
}
*/
#define WEBP_DSP_INIT_FUNC(name) \
static WEBP_TSAN_IGNORE_FUNCTION void name##_body(void); \
WEBP_TSAN_IGNORE_FUNCTION void name(void) { WEBP_DSP_INIT(name##_body); } \
static WEBP_TSAN_IGNORE_FUNCTION void name##_body(void)
#define WEBP_UBSAN_IGNORE_UNDEF
#define WEBP_UBSAN_IGNORE_UNSIGNED_OVERFLOW
#if defined(__clang__) && defined(__has_attribute)
#if __has_attribute(no_sanitize)
// This macro prevents the undefined behavior sanitizer from reporting
// failures. This is only meant to silence unaligned loads on platforms that
// are known to support them.
#undef WEBP_UBSAN_IGNORE_UNDEF
#define WEBP_UBSAN_IGNORE_UNDEF __attribute__((no_sanitize("undefined")))
// This macro prevents the undefined behavior sanitizer from reporting
// failures related to unsigned integer overflows. This is only meant to
// silence cases where this well defined behavior is expected.
#undef WEBP_UBSAN_IGNORE_UNSIGNED_OVERFLOW
#define WEBP_UBSAN_IGNORE_UNSIGNED_OVERFLOW \
__attribute__((no_sanitize("unsigned-integer-overflow")))
#endif
#endif
// If 'ptr' is NULL, returns NULL. Otherwise returns 'ptr + off'.
// Prevents undefined behavior sanitizer nullptr-with-nonzero-offset warning.
#if !defined(WEBP_OFFSET_PTR)
#define WEBP_OFFSET_PTR(ptr, off) (((ptr) == NULL) ? NULL : ((ptr) + (off)))
#endif
// Regularize the definition of WEBP_SWAP_16BIT_CSP (backward compatibility)
#if !defined(WEBP_SWAP_16BIT_CSP)
#define WEBP_SWAP_16BIT_CSP 0
#endif
// some endian fix (e.g.: mips-gcc doesn't define __BIG_ENDIAN__)
#if !defined(WORDS_BIGENDIAN) && \
(defined(__BIG_ENDIAN__) || defined(_M_PPC) || \
(defined(__BYTE_ORDER__) && (__BYTE_ORDER__ == __ORDER_BIG_ENDIAN__)))
#define WORDS_BIGENDIAN
#endif
typedef enum {
kSSE2,
kSSE3,
kSlowSSSE3, // special feature for slow SSSE3 architectures
kSSE4_1,
kAVX,
kAVX2,
kNEON,
kMIPS32,
kMIPSdspR2,
kMSA
} CPUFeature;
// returns true if the CPU supports the feature.
typedef int (*VP8CPUInfo)(CPUFeature feature);
#endif // WEBP_DSP_CPU_H_
+4 -3
View File
@@ -734,6 +734,7 @@ VP8SimpleFilterFunc VP8SimpleHFilter16i;
void (*VP8DitherCombine8x8)(const uint8_t* dither, uint8_t* dst,
int dst_stride);
extern VP8CPUInfo VP8GetCPUInfo;
extern void VP8DspInitSSE2(void);
extern void VP8DspInitSSE41(void);
extern void VP8DspInitNEON(void);
@@ -807,10 +808,10 @@ WEBP_DSP_INIT_FUNC(VP8DspInit) {
// If defined, use CPUInfo() to overwrite some pointers with faster versions.
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8DspInitSSE2();
#if defined(WEBP_USE_SSE41)
#if defined(WEBP_HAVE_SSE41)
if (VP8GetCPUInfo(kSSE4_1)) {
VP8DspInitSSE41();
}
@@ -834,7 +835,7 @@ WEBP_DSP_INIT_FUNC(VP8DspInit) {
#endif
}
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(VP8GetCPUInfo != NULL && VP8GetCPUInfo(kNEON))) {
VP8DspInitNEON();
+2 -2
View File
@@ -1428,7 +1428,7 @@ static WEBP_INLINE void DC8_NEON(uint8_t* dst, int do_top, int do_left) {
if (do_top) {
const uint8x8_t A = vld1_u8(dst - BPS); // top row
#if defined(__aarch64__)
#if WEBP_AARCH64
const uint16_t p2 = vaddlv_u8(A);
sum_top = vdupq_n_u16(p2);
#else
@@ -1511,7 +1511,7 @@ static WEBP_INLINE void DC16_NEON(uint8_t* dst, int do_top, int do_left) {
if (do_top) {
const uint8x16_t A = vld1q_u8(dst - BPS); // top row
#if defined(__aarch64__)
#if WEBP_AARCH64
const uint16_t p3 = vaddlvq_u8(A);
sum_top = vdupq_n_u16(p3);
#else
+47 -46
View File
@@ -158,10 +158,10 @@ static void Transform_SSE2(const int16_t* in, uint8_t* dst, int do_two) {
dst3 = _mm_loadl_epi64((__m128i*)(dst + 3 * BPS));
} else {
// Load four bytes/pixels per line.
dst0 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 0 * BPS));
dst1 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 1 * BPS));
dst2 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 2 * BPS));
dst3 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 3 * BPS));
dst0 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 0 * BPS));
dst1 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 1 * BPS));
dst2 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 2 * BPS));
dst3 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 3 * BPS));
}
// Convert to 16b.
dst0 = _mm_unpacklo_epi8(dst0, zero);
@@ -187,10 +187,10 @@ static void Transform_SSE2(const int16_t* in, uint8_t* dst, int do_two) {
_mm_storel_epi64((__m128i*)(dst + 3 * BPS), dst3);
} else {
// Store four bytes/pixels per line.
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(dst0));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(dst1));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(dst2));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(dst3));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(dst0));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(dst1));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(dst2));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(dst3));
}
}
}
@@ -213,10 +213,10 @@ static void TransformAC3(const int16_t* in, uint8_t* dst) {
const __m128i m3 = _mm_subs_epi16(B, d4);
const __m128i zero = _mm_setzero_si128();
// Load the source pixels.
__m128i dst0 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 0 * BPS));
__m128i dst1 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 1 * BPS));
__m128i dst2 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 2 * BPS));
__m128i dst3 = _mm_cvtsi32_si128(WebPMemToUint32(dst + 3 * BPS));
__m128i dst0 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 0 * BPS));
__m128i dst1 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 1 * BPS));
__m128i dst2 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 2 * BPS));
__m128i dst3 = _mm_cvtsi32_si128(WebPMemToInt32(dst + 3 * BPS));
// Convert to 16b.
dst0 = _mm_unpacklo_epi8(dst0, zero);
dst1 = _mm_unpacklo_epi8(dst1, zero);
@@ -233,10 +233,10 @@ static void TransformAC3(const int16_t* in, uint8_t* dst) {
dst2 = _mm_packus_epi16(dst2, dst2);
dst3 = _mm_packus_epi16(dst3, dst3);
// Store the results.
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(dst0));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(dst1));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(dst2));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(dst3));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(dst0));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(dst1));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(dst2));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(dst3));
}
#undef MUL
#endif // USE_TRANSFORM_AC3
@@ -477,11 +477,11 @@ static WEBP_INLINE void Load8x4_SSE2(const uint8_t* const b, int stride,
// A0 = 63 62 61 60 23 22 21 20 43 42 41 40 03 02 01 00
// A1 = 73 72 71 70 33 32 31 30 53 52 51 50 13 12 11 10
const __m128i A0 = _mm_set_epi32(
WebPMemToUint32(&b[6 * stride]), WebPMemToUint32(&b[2 * stride]),
WebPMemToUint32(&b[4 * stride]), WebPMemToUint32(&b[0 * stride]));
WebPMemToInt32(&b[6 * stride]), WebPMemToInt32(&b[2 * stride]),
WebPMemToInt32(&b[4 * stride]), WebPMemToInt32(&b[0 * stride]));
const __m128i A1 = _mm_set_epi32(
WebPMemToUint32(&b[7 * stride]), WebPMemToUint32(&b[3 * stride]),
WebPMemToUint32(&b[5 * stride]), WebPMemToUint32(&b[1 * stride]));
WebPMemToInt32(&b[7 * stride]), WebPMemToInt32(&b[3 * stride]),
WebPMemToInt32(&b[5 * stride]), WebPMemToInt32(&b[1 * stride]));
// B0 = 53 43 52 42 51 41 50 40 13 03 12 02 11 01 10 00
// B1 = 73 63 72 62 71 61 70 60 33 23 32 22 31 21 30 20
@@ -540,7 +540,7 @@ static WEBP_INLINE void Store4x4_SSE2(__m128i* const x,
uint8_t* dst, int stride) {
int i;
for (i = 0; i < 4; ++i, dst += stride) {
WebPUint32ToMem(dst, _mm_cvtsi128_si32(*x));
WebPInt32ToMem(dst, _mm_cvtsi128_si32(*x));
*x = _mm_srli_si128(*x, 4);
}
}
@@ -908,10 +908,10 @@ static void VE4_SSE2(uint8_t* dst) { // vertical
const __m128i lsb = _mm_and_si128(_mm_xor_si128(ABCDEFGH, CDEFGH00), one);
const __m128i b = _mm_subs_epu8(a, lsb);
const __m128i avg = _mm_avg_epu8(b, BCDEFGH0);
const uint32_t vals = _mm_cvtsi128_si32(avg);
const int vals = _mm_cvtsi128_si32(avg);
int i;
for (i = 0; i < 4; ++i) {
WebPUint32ToMem(dst + i * BPS, vals);
WebPInt32ToMem(dst + i * BPS, vals);
}
}
@@ -925,10 +925,10 @@ static void LD4_SSE2(uint8_t* dst) { // Down-Left
const __m128i lsb = _mm_and_si128(_mm_xor_si128(ABCDEFGH, CDEFGHH0), one);
const __m128i avg2 = _mm_subs_epu8(avg1, lsb);
const __m128i abcdefg = _mm_avg_epu8(avg2, BCDEFGH0);
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
}
static void VR4_SSE2(uint8_t* dst) { // Vertical-Right
@@ -946,10 +946,10 @@ static void VR4_SSE2(uint8_t* dst) { // Vertical-Right
const __m128i lsb = _mm_and_si128(_mm_xor_si128(IXABCD, ABCD0), one);
const __m128i avg2 = _mm_subs_epu8(avg1, lsb);
const __m128i efgh = _mm_avg_epu8(avg2, XABCD);
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcd ));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( efgh ));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(abcd, 1)));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(efgh, 1)));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcd ));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( efgh ));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(abcd, 1)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(efgh, 1)));
// these two are hard to implement in SSE2, so we keep the C-version:
DST(0, 2) = AVG3(J, I, X);
@@ -970,11 +970,12 @@ static void VL4_SSE2(uint8_t* dst) { // Vertical-Left
const __m128i abbc = _mm_or_si128(ab, bc);
const __m128i lsb2 = _mm_and_si128(abbc, lsb1);
const __m128i avg4 = _mm_subs_epu8(avg3, lsb2);
const uint32_t extra_out = _mm_cvtsi128_si32(_mm_srli_si128(avg4, 4));
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( avg1 ));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( avg4 ));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg1, 1)));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg4, 1)));
const uint32_t extra_out =
(uint32_t)_mm_cvtsi128_si32(_mm_srli_si128(avg4, 4));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( avg1 ));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( avg4 ));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg1, 1)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg4, 1)));
// these two are hard to get and irregular
DST(3, 2) = (extra_out >> 0) & 0xff;
@@ -990,7 +991,7 @@ static void RD4_SSE2(uint8_t* dst) { // Down-right
const uint32_t K = dst[-1 + 2 * BPS];
const uint32_t L = dst[-1 + 3 * BPS];
const __m128i LKJI_____ =
_mm_cvtsi32_si128(L | (K << 8) | (J << 16) | (I << 24));
_mm_cvtsi32_si128((int)(L | (K << 8) | (J << 16) | (I << 24)));
const __m128i LKJIXABCD = _mm_or_si128(LKJI_____, ____XABCD);
const __m128i KJIXABCD_ = _mm_srli_si128(LKJIXABCD, 1);
const __m128i JIXABCD__ = _mm_srli_si128(LKJIXABCD, 2);
@@ -998,10 +999,10 @@ static void RD4_SSE2(uint8_t* dst) { // Down-right
const __m128i lsb = _mm_and_si128(_mm_xor_si128(JIXABCD__, LKJIXABCD), one);
const __m128i avg2 = _mm_subs_epu8(avg1, lsb);
const __m128i abcdefg = _mm_avg_epu8(avg2, KJIXABCD_);
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
}
#undef DST
@@ -1015,13 +1016,13 @@ static WEBP_INLINE void TrueMotion_SSE2(uint8_t* dst, int size) {
const __m128i zero = _mm_setzero_si128();
int y;
if (size == 4) {
const __m128i top_values = _mm_cvtsi32_si128(WebPMemToUint32(top));
const __m128i top_values = _mm_cvtsi32_si128(WebPMemToInt32(top));
const __m128i top_base = _mm_unpacklo_epi8(top_values, zero);
for (y = 0; y < 4; ++y, dst += BPS) {
const int val = dst[-1] - top[-1];
const __m128i base = _mm_set1_epi16(val);
const __m128i out = _mm_packus_epi16(_mm_add_epi16(base, top_base), zero);
WebPUint32ToMem(dst, _mm_cvtsi128_si32(out));
WebPInt32ToMem(dst, _mm_cvtsi128_si32(out));
}
} else if (size == 8) {
const __m128i top_values = _mm_loadl_epi64((const __m128i*)top);
@@ -1062,7 +1063,7 @@ static void VE16_SSE2(uint8_t* dst) {
static void HE16_SSE2(uint8_t* dst) { // horizontal
int j;
for (j = 16; j > 0; --j) {
const __m128i values = _mm_set1_epi8(dst[-1]);
const __m128i values = _mm_set1_epi8((char)dst[-1]);
_mm_storeu_si128((__m128i*)dst, values);
dst += BPS;
}
@@ -1070,7 +1071,7 @@ static void HE16_SSE2(uint8_t* dst) { // horizontal
static WEBP_INLINE void Put16_SSE2(uint8_t v, uint8_t* dst) {
int j;
const __m128i values = _mm_set1_epi8(v);
const __m128i values = _mm_set1_epi8((char)v);
for (j = 0; j < 16; ++j) {
_mm_storeu_si128((__m128i*)(dst + j * BPS), values);
}
@@ -1130,7 +1131,7 @@ static void VE8uv_SSE2(uint8_t* dst) { // vertical
// helper for chroma-DC predictions
static WEBP_INLINE void Put8x8uv_SSE2(uint8_t v, uint8_t* dst) {
int j;
const __m128i values = _mm_set1_epi8(v);
const __m128i values = _mm_set1_epi8((char)v);
for (j = 0; j < 8; ++j) {
_mm_storel_epi64((__m128i*)(dst + j * BPS), values);
}
+1 -1
View File
@@ -23,7 +23,7 @@ static void HE16_SSE41(uint8_t* dst) { // horizontal
int j;
const __m128i kShuffle3 = _mm_set1_epi8(3);
for (j = 16; j > 0; --j) {
const __m128i in = _mm_cvtsi32_si128(WebPMemToUint32(dst - 4));
const __m128i in = _mm_cvtsi32_si128(WebPMemToInt32(dst - 4));
const __m128i values = _mm_shuffle_epi8(in, kShuffle3);
_mm_storeu_si128((__m128i*)dst, values);
dst += BPS;
+40 -222
View File
@@ -18,6 +18,7 @@
#include "src/webp/config.h"
#endif
#include "src/dsp/cpu.h"
#include "src/webp/types.h"
#ifdef __cplusplus
@@ -27,205 +28,22 @@ extern "C" {
#define BPS 32 // this is the common stride for enc/dec
//------------------------------------------------------------------------------
// CPU detection
// WEBP_RESTRICT
// Declares a pointer with the restrict type qualifier if available.
// This allows code to hint to the compiler that only this pointer references a
// particular object or memory region within the scope of the block in which it
// is declared. This may allow for improved optimizations due to the lack of
// pointer aliasing. See also:
// https://en.cppreference.com/w/c/language/restrict
#if defined(__GNUC__)
# define LOCAL_GCC_VERSION ((__GNUC__ << 8) | __GNUC_MINOR__)
# define LOCAL_GCC_PREREQ(maj, min) \
(LOCAL_GCC_VERSION >= (((maj) << 8) | (min)))
#define WEBP_RESTRICT __restrict__
#elif defined(_MSC_VER)
#define WEBP_RESTRICT __restrict
#else
# define LOCAL_GCC_VERSION 0
# define LOCAL_GCC_PREREQ(maj, min) 0
#define WEBP_RESTRICT
#endif
#if defined(__clang__)
# define LOCAL_CLANG_VERSION ((__clang_major__ << 8) | __clang_minor__)
# define LOCAL_CLANG_PREREQ(maj, min) \
(LOCAL_CLANG_VERSION >= (((maj) << 8) | (min)))
#else
# define LOCAL_CLANG_VERSION 0
# define LOCAL_CLANG_PREREQ(maj, min) 0
#endif
#ifndef __has_builtin
# define __has_builtin(x) 0
#endif
#if !defined(HAVE_CONFIG_H)
#if defined(_MSC_VER) && _MSC_VER > 1310 && \
(defined(_M_X64) || defined(_M_IX86))
#define WEBP_MSC_SSE2 // Visual C++ SSE2 targets
#endif
#if defined(_MSC_VER) && _MSC_VER >= 1500 && \
(defined(_M_X64) || defined(_M_IX86))
#define WEBP_MSC_SSE41 // Visual C++ SSE4.1 targets
#endif
#endif
// WEBP_HAVE_* are used to indicate the presence of the instruction set in dsp
// files without intrinsics, allowing the corresponding Init() to be called.
// Files containing intrinsics will need to be built targeting the instruction
// set so should succeed on one of the earlier tests.
#if defined(__SSE2__) || defined(WEBP_MSC_SSE2) || defined(WEBP_HAVE_SSE2)
#define WEBP_USE_SSE2
#endif
#if defined(__SSE4_1__) || defined(WEBP_MSC_SSE41) || defined(WEBP_HAVE_SSE41)
#define WEBP_USE_SSE41
#endif
#undef WEBP_MSC_SSE41
#undef WEBP_MSC_SSE2
// The intrinsics currently cause compiler errors with arm-nacl-gcc and the
// inline assembly would need to be modified for use with Native Client.
#if (defined(__ARM_NEON__) || \
defined(__aarch64__) || defined(WEBP_HAVE_NEON)) && \
!defined(__native_client__)
#define WEBP_USE_NEON
#endif
#if !defined(WEBP_USE_NEON) && defined(__ANDROID__) && \
defined(__ARM_ARCH_7A__) && defined(HAVE_CPU_FEATURES_H)
#define WEBP_ANDROID_NEON // Android targets that may have NEON
#define WEBP_USE_NEON
#endif
#if defined(_MSC_VER) && _MSC_VER >= 1700 && defined(_M_ARM)
#define WEBP_USE_NEON
#define WEBP_USE_INTRINSICS
#endif
#if defined(__mips__) && !defined(__mips64) && \
defined(__mips_isa_rev) && (__mips_isa_rev >= 1) && (__mips_isa_rev < 6)
#define WEBP_USE_MIPS32
#if (__mips_isa_rev >= 2)
#define WEBP_USE_MIPS32_R2
#if defined(__mips_dspr2) || (defined(__mips_dsp_rev) && __mips_dsp_rev >= 2)
#define WEBP_USE_MIPS_DSP_R2
#endif
#endif
#endif
#if defined(__mips_msa) && defined(__mips_isa_rev) && (__mips_isa_rev >= 5)
#define WEBP_USE_MSA
#endif
#ifndef WEBP_DSP_OMIT_C_CODE
#define WEBP_DSP_OMIT_C_CODE 1
#endif
#if (defined(__aarch64__) || defined(__ARM_NEON__)) && WEBP_DSP_OMIT_C_CODE
#define WEBP_NEON_OMIT_C_CODE 1
#else
#define WEBP_NEON_OMIT_C_CODE 0
#endif
#if !(LOCAL_CLANG_PREREQ(3,8) || LOCAL_GCC_PREREQ(4,8) || defined(__aarch64__))
#define WEBP_NEON_WORK_AROUND_GCC 1
#else
#define WEBP_NEON_WORK_AROUND_GCC 0
#endif
// This macro prevents thread_sanitizer from reporting known concurrent writes.
#define WEBP_TSAN_IGNORE_FUNCTION
#if defined(__has_feature)
#if __has_feature(thread_sanitizer)
#undef WEBP_TSAN_IGNORE_FUNCTION
#define WEBP_TSAN_IGNORE_FUNCTION __attribute__((no_sanitize_thread))
#endif
#endif
#if defined(WEBP_USE_THREAD) && !defined(_WIN32)
#include <pthread.h> // NOLINT
#define WEBP_DSP_INIT(func) do { \
static volatile VP8CPUInfo func ## _last_cpuinfo_used = \
(VP8CPUInfo)&func ## _last_cpuinfo_used; \
static pthread_mutex_t func ## _lock = PTHREAD_MUTEX_INITIALIZER; \
if (pthread_mutex_lock(&func ## _lock)) break; \
if (func ## _last_cpuinfo_used != VP8GetCPUInfo) func(); \
func ## _last_cpuinfo_used = VP8GetCPUInfo; \
(void)pthread_mutex_unlock(&func ## _lock); \
} while (0)
#else // !(defined(WEBP_USE_THREAD) && !defined(_WIN32))
#define WEBP_DSP_INIT(func) do { \
static volatile VP8CPUInfo func ## _last_cpuinfo_used = \
(VP8CPUInfo)&func ## _last_cpuinfo_used; \
if (func ## _last_cpuinfo_used == VP8GetCPUInfo) break; \
func(); \
func ## _last_cpuinfo_used = VP8GetCPUInfo; \
} while (0)
#endif // defined(WEBP_USE_THREAD) && !defined(_WIN32)
// Defines an Init + helper function that control multiple initialization of
// function pointers / tables.
/* Usage:
WEBP_DSP_INIT_FUNC(InitFunc) {
...function body
}
*/
#define WEBP_DSP_INIT_FUNC(name) \
static WEBP_TSAN_IGNORE_FUNCTION void name ## _body(void); \
WEBP_TSAN_IGNORE_FUNCTION void name(void) { \
WEBP_DSP_INIT(name ## _body); \
} \
static WEBP_TSAN_IGNORE_FUNCTION void name ## _body(void)
#define WEBP_UBSAN_IGNORE_UNDEF
#define WEBP_UBSAN_IGNORE_UNSIGNED_OVERFLOW
#if defined(__clang__) && defined(__has_attribute)
#if __has_attribute(no_sanitize)
// This macro prevents the undefined behavior sanitizer from reporting
// failures. This is only meant to silence unaligned loads on platforms that
// are known to support them.
#undef WEBP_UBSAN_IGNORE_UNDEF
#define WEBP_UBSAN_IGNORE_UNDEF \
__attribute__((no_sanitize("undefined")))
// This macro prevents the undefined behavior sanitizer from reporting
// failures related to unsigned integer overflows. This is only meant to
// silence cases where this well defined behavior is expected.
#undef WEBP_UBSAN_IGNORE_UNSIGNED_OVERFLOW
#define WEBP_UBSAN_IGNORE_UNSIGNED_OVERFLOW \
__attribute__((no_sanitize("unsigned-integer-overflow")))
#endif
#endif
// If 'ptr' is NULL, returns NULL. Otherwise returns 'ptr + off'.
// Prevents undefined behavior sanitizer nullptr-with-nonzero-offset warning.
#if !defined(WEBP_OFFSET_PTR)
#define WEBP_OFFSET_PTR(ptr, off) (((ptr) == NULL) ? NULL : ((ptr) + (off)))
#endif
// Regularize the definition of WEBP_SWAP_16BIT_CSP (backward compatibility)
#if !defined(WEBP_SWAP_16BIT_CSP)
#define WEBP_SWAP_16BIT_CSP 0
#endif
// some endian fix (e.g.: mips-gcc doesn't define __BIG_ENDIAN__)
#if !defined(WORDS_BIGENDIAN) && \
(defined(__BIG_ENDIAN__) || defined(_M_PPC) || \
(defined(__BYTE_ORDER__) && (__BYTE_ORDER__ == __ORDER_BIG_ENDIAN__)))
#define WORDS_BIGENDIAN
#endif
typedef enum {
kSSE2,
kSSE3,
kSlowSSSE3, // special feature for slow SSSE3 architectures
kSSE4_1,
kAVX,
kAVX2,
kNEON,
kMIPS32,
kMIPSdspR2,
kMSA
} CPUFeature;
// returns true if the CPU supports the feature.
typedef int (*VP8CPUInfo)(CPUFeature feature);
WEBP_EXTERN VP8CPUInfo VP8GetCPUInfo;
//------------------------------------------------------------------------------
// Init stub generator
@@ -514,15 +332,6 @@ extern void WebPConvertARGBToUV_C(const uint32_t* argb, uint8_t* u, uint8_t* v,
extern void WebPConvertRGBA32ToUV_C(const uint16_t* rgb,
uint8_t* u, uint8_t* v, int width);
// utilities for accurate RGB->YUV conversion
extern uint64_t (*WebPSharpYUVUpdateY)(const uint16_t* src, const uint16_t* ref,
uint16_t* dst, int len);
extern void (*WebPSharpYUVUpdateRGB)(const int16_t* src, const int16_t* ref,
int16_t* dst, int len);
extern void (*WebPSharpYUVFilterRow)(const int16_t* A, const int16_t* B,
int len,
const uint16_t* best_y, uint16_t* out);
// Must be called before using the above.
void WebPInitConvertARGBToYUV(void);
@@ -578,26 +387,29 @@ extern void (*WebPApplyAlphaMultiply4444)(
// Dispatch the values from alpha[] plane to the ARGB destination 'dst'.
// Returns true if alpha[] plane has non-trivial values different from 0xff.
extern int (*WebPDispatchAlpha)(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint8_t* dst, int dst_stride);
extern int (*WebPDispatchAlpha)(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint8_t* WEBP_RESTRICT dst, int dst_stride);
// Transfer packed 8b alpha[] values to green channel in dst[], zero'ing the
// A/R/B values. 'dst_stride' is the stride for dst[] in uint32_t units.
extern void (*WebPDispatchAlphaToGreen)(const uint8_t* alpha, int alpha_stride,
int width, int height,
uint32_t* dst, int dst_stride);
extern void (*WebPDispatchAlphaToGreen)(const uint8_t* WEBP_RESTRICT alpha,
int alpha_stride, int width, int height,
uint32_t* WEBP_RESTRICT dst,
int dst_stride);
// Extract the alpha values from 32b values in argb[] and pack them into alpha[]
// (this is the opposite of WebPDispatchAlpha).
// Returns true if there's only trivial 0xff alpha values.
extern int (*WebPExtractAlpha)(const uint8_t* argb, int argb_stride,
int width, int height,
uint8_t* alpha, int alpha_stride);
extern int (*WebPExtractAlpha)(const uint8_t* WEBP_RESTRICT argb,
int argb_stride, int width, int height,
uint8_t* WEBP_RESTRICT alpha,
int alpha_stride);
// Extract the green values from 32b values in argb[] and pack them into alpha[]
// (this is the opposite of WebPDispatchAlphaToGreen).
extern void (*WebPExtractGreen)(const uint32_t* argb, uint8_t* alpha, int size);
extern void (*WebPExtractGreen)(const uint32_t* WEBP_RESTRICT argb,
uint8_t* WEBP_RESTRICT alpha, int size);
// Pre-Multiply operation transforms x into x * A / 255 (where x=Y,R,G or B).
// Un-Multiply operation transforms x into x * 255 / A.
@@ -610,29 +422,35 @@ void WebPMultARGBRows(uint8_t* ptr, int stride, int width, int num_rows,
int inverse);
// Same for a row of single values, with side alpha values.
extern void (*WebPMultRow)(uint8_t* const ptr, const uint8_t* const alpha,
extern void (*WebPMultRow)(uint8_t* WEBP_RESTRICT const ptr,
const uint8_t* WEBP_RESTRICT const alpha,
int width, int inverse);
// Same a WebPMultRow(), but for several 'num_rows' rows.
void WebPMultRows(uint8_t* ptr, int stride,
const uint8_t* alpha, int alpha_stride,
void WebPMultRows(uint8_t* WEBP_RESTRICT ptr, int stride,
const uint8_t* WEBP_RESTRICT alpha, int alpha_stride,
int width, int num_rows, int inverse);
// Plain-C versions, used as fallback by some implementations.
void WebPMultRow_C(uint8_t* const ptr, const uint8_t* const alpha,
void WebPMultRow_C(uint8_t* WEBP_RESTRICT const ptr,
const uint8_t* WEBP_RESTRICT const alpha,
int width, int inverse);
void WebPMultARGBRow_C(uint32_t* const ptr, int width, int inverse);
#ifdef WORDS_BIGENDIAN
// ARGB packing function: a/r/g/b input is rgba or bgra order.
extern void (*WebPPackARGB)(const uint8_t* a, const uint8_t* r,
const uint8_t* g, const uint8_t* b, int len,
uint32_t* out);
extern void (*WebPPackARGB)(const uint8_t* WEBP_RESTRICT a,
const uint8_t* WEBP_RESTRICT r,
const uint8_t* WEBP_RESTRICT g,
const uint8_t* WEBP_RESTRICT b,
int len, uint32_t* WEBP_RESTRICT out);
#endif
// RGB packing function. 'step' can be 3 or 4. r/g/b input is rgb or bgr order.
extern void (*WebPPackRGB)(const uint8_t* r, const uint8_t* g, const uint8_t* b,
int len, int step, uint32_t* out);
extern void (*WebPPackRGB)(const uint8_t* WEBP_RESTRICT r,
const uint8_t* WEBP_RESTRICT g,
const uint8_t* WEBP_RESTRICT b,
int len, int step, uint32_t* WEBP_RESTRICT out);
// This function returns true if src[i] contains a value different from 0xff.
extern int (*WebPHasAlpha8b)(const uint8_t* src, int length);
+4 -3
View File
@@ -732,6 +732,7 @@ VP8QuantizeBlockWHT VP8EncQuantizeBlockWHT;
VP8BlockCopy VP8Copy4x4;
VP8BlockCopy VP8Copy16x8;
extern VP8CPUInfo VP8GetCPUInfo;
extern void VP8EncDspInitSSE2(void);
extern void VP8EncDspInitSSE41(void);
extern void VP8EncDspInitNEON(void);
@@ -773,10 +774,10 @@ WEBP_DSP_INIT_FUNC(VP8EncDspInit) {
// If defined, use CPUInfo() to overwrite some pointers with faster versions.
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8EncDspInitSSE2();
#if defined(WEBP_USE_SSE41)
#if defined(WEBP_HAVE_SSE41)
if (VP8GetCPUInfo(kSSE4_1)) {
VP8EncDspInitSSE41();
}
@@ -800,7 +801,7 @@ WEBP_DSP_INIT_FUNC(VP8EncDspInit) {
#endif
}
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(VP8GetCPUInfo != NULL && VP8GetCPUInfo(kNEON))) {
VP8EncDspInitNEON();
+9 -4
View File
@@ -9,7 +9,7 @@
//
// ARM NEON version of speed-critical encoding functions.
//
// adapted from libvpx (http://www.webmproject.org/code/)
// adapted from libvpx (https://www.webmproject.org/code/)
#include "src/dsp/dsp.h"
@@ -764,9 +764,14 @@ static WEBP_INLINE void AccumulateSSE16_NEON(const uint8_t* const a,
// Horizontal sum of all four uint32_t values in 'sum'.
static int SumToInt_NEON(uint32x4_t sum) {
#if WEBP_AARCH64
return (int)vaddvq_u32(sum);
#else
const uint64x2_t sum2 = vpaddlq_u32(sum);
const uint64_t sum3 = vgetq_lane_u64(sum2, 0) + vgetq_lane_u64(sum2, 1);
return (int)sum3;
const uint32x2_t sum3 = vadd_u32(vreinterpret_u32_u64(vget_low_u64(sum2)),
vreinterpret_u32_u64(vget_high_u64(sum2)));
return (int)vget_lane_u32(sum3, 0);
#endif
}
static int SSE16x16_NEON(const uint8_t* a, const uint8_t* b) {
@@ -860,7 +865,7 @@ static int QuantizeBlock_NEON(int16_t in[16], int16_t out[16],
uint8x8x4_t shuffles;
// vtbl?_u8 are marked unavailable for iOS arm64 with Xcode < 6.3, use
// non-standard versions there.
#if defined(__APPLE__) && defined(__aarch64__) && \
#if defined(__APPLE__) && WEBP_AARCH64 && \
defined(__apple_build_version__) && (__apple_build_version__< 6020037)
uint8x16x2_t all_out;
INIT_VECTOR2(all_out, vreinterpretq_u8_s16(out0), vreinterpretq_u8_s16(out1));
+213 -80
View File
@@ -25,9 +25,160 @@
//------------------------------------------------------------------------------
// Transforms (Paragraph 14.4)
// Does one or two inverse transforms.
static void ITransform_SSE2(const uint8_t* ref, const int16_t* in, uint8_t* dst,
int do_two) {
// Does one inverse transform.
static void ITransform_One_SSE2(const uint8_t* ref, const int16_t* in,
uint8_t* dst) {
// This implementation makes use of 16-bit fixed point versions of two
// multiply constants:
// K1 = sqrt(2) * cos (pi/8) ~= 85627 / 2^16
// K2 = sqrt(2) * sin (pi/8) ~= 35468 / 2^16
//
// To be able to use signed 16-bit integers, we use the following trick to
// have constants within range:
// - Associated constants are obtained by subtracting the 16-bit fixed point
// version of one:
// k = K - (1 << 16) => K = k + (1 << 16)
// K1 = 85267 => k1 = 20091
// K2 = 35468 => k2 = -30068
// - The multiplication of a variable by a constant become the sum of the
// variable and the multiplication of that variable by the associated
// constant:
// (x * K) >> 16 = (x * (k + (1 << 16))) >> 16 = ((x * k ) >> 16) + x
const __m128i k1k2 = _mm_set_epi16(-30068, -30068, -30068, -30068,
20091, 20091, 20091, 20091);
const __m128i k2k1 = _mm_set_epi16(20091, 20091, 20091, 20091,
-30068, -30068, -30068, -30068);
const __m128i zero = _mm_setzero_si128();
const __m128i zero_four = _mm_set_epi16(0, 0, 0, 0, 4, 4, 4, 4);
__m128i T01, T23;
// Load and concatenate the transform coefficients.
const __m128i in01 = _mm_loadu_si128((const __m128i*)&in[0]);
const __m128i in23 = _mm_loadu_si128((const __m128i*)&in[8]);
// a00 a10 a20 a30 a01 a11 a21 a31
// a02 a12 a22 a32 a03 a13 a23 a33
// Vertical pass and subsequent transpose.
{
const __m128i in1 = _mm_unpackhi_epi64(in01, in01);
const __m128i in3 = _mm_unpackhi_epi64(in23, in23);
// First pass, c and d calculations are longer because of the "trick"
// multiplications.
// c = MUL(in1, K2) - MUL(in3, K1) = MUL(in1, k2) - MUL(in3, k1) + in1 - in3
// d = MUL(in1, K1) + MUL(in3, K2) = MUL(in1, k1) + MUL(in3, k2) + in1 + in3
const __m128i a_d3 = _mm_add_epi16(in01, in23);
const __m128i b_c3 = _mm_sub_epi16(in01, in23);
const __m128i c1d1 = _mm_mulhi_epi16(in1, k2k1);
const __m128i c2d2 = _mm_mulhi_epi16(in3, k1k2);
const __m128i c3 = _mm_unpackhi_epi64(b_c3, b_c3);
const __m128i c4 = _mm_sub_epi16(c1d1, c2d2);
const __m128i c = _mm_add_epi16(c3, c4);
const __m128i d4u = _mm_add_epi16(c1d1, c2d2);
const __m128i du = _mm_add_epi16(a_d3, d4u);
const __m128i d = _mm_unpackhi_epi64(du, du);
// Second pass.
const __m128i comb_ab = _mm_unpacklo_epi64(a_d3, b_c3);
const __m128i comb_dc = _mm_unpacklo_epi64(d, c);
const __m128i tmp01 = _mm_add_epi16(comb_ab, comb_dc);
const __m128i tmp32 = _mm_sub_epi16(comb_ab, comb_dc);
const __m128i tmp23 = _mm_shuffle_epi32(tmp32, _MM_SHUFFLE(1, 0, 3, 2));
const __m128i transpose_0 = _mm_unpacklo_epi16(tmp01, tmp23);
const __m128i transpose_1 = _mm_unpackhi_epi16(tmp01, tmp23);
// a00 a20 a01 a21 a02 a22 a03 a23
// a10 a30 a11 a31 a12 a32 a13 a33
T01 = _mm_unpacklo_epi16(transpose_0, transpose_1);
T23 = _mm_unpackhi_epi16(transpose_0, transpose_1);
// a00 a10 a20 a30 a01 a11 a21 a31
// a02 a12 a22 a32 a03 a13 a23 a33
}
// Horizontal pass and subsequent transpose.
{
const __m128i T1 = _mm_unpackhi_epi64(T01, T01);
const __m128i T3 = _mm_unpackhi_epi64(T23, T23);
// First pass, c and d calculations are longer because of the "trick"
// multiplications.
const __m128i dc = _mm_add_epi16(T01, zero_four);
// c = MUL(T1, K2) - MUL(T3, K1) = MUL(T1, k2) - MUL(T3, k1) + T1 - T3
// d = MUL(T1, K1) + MUL(T3, K2) = MUL(T1, k1) + MUL(T3, k2) + T1 + T3
const __m128i a_d3 = _mm_add_epi16(dc, T23);
const __m128i b_c3 = _mm_sub_epi16(dc, T23);
const __m128i c1d1 = _mm_mulhi_epi16(T1, k2k1);
const __m128i c2d2 = _mm_mulhi_epi16(T3, k1k2);
const __m128i c3 = _mm_unpackhi_epi64(b_c3, b_c3);
const __m128i c4 = _mm_sub_epi16(c1d1, c2d2);
const __m128i c = _mm_add_epi16(c3, c4);
const __m128i d4u = _mm_add_epi16(c1d1, c2d2);
const __m128i du = _mm_add_epi16(a_d3, d4u);
const __m128i d = _mm_unpackhi_epi64(du, du);
// Second pass.
const __m128i comb_ab = _mm_unpacklo_epi64(a_d3, b_c3);
const __m128i comb_dc = _mm_unpacklo_epi64(d, c);
const __m128i tmp01 = _mm_add_epi16(comb_ab, comb_dc);
const __m128i tmp32 = _mm_sub_epi16(comb_ab, comb_dc);
const __m128i tmp23 = _mm_shuffle_epi32(tmp32, _MM_SHUFFLE(1, 0, 3, 2));
const __m128i shifted01 = _mm_srai_epi16(tmp01, 3);
const __m128i shifted23 = _mm_srai_epi16(tmp23, 3);
// a00 a01 a02 a03 a10 a11 a12 a13
// a20 a21 a22 a23 a30 a31 a32 a33
const __m128i transpose_0 = _mm_unpacklo_epi16(shifted01, shifted23);
const __m128i transpose_1 = _mm_unpackhi_epi16(shifted01, shifted23);
// a00 a20 a01 a21 a02 a22 a03 a23
// a10 a30 a11 a31 a12 a32 a13 a33
T01 = _mm_unpacklo_epi16(transpose_0, transpose_1);
T23 = _mm_unpackhi_epi16(transpose_0, transpose_1);
// a00 a10 a20 a30 a01 a11 a21 a31
// a02 a12 a22 a32 a03 a13 a23 a33
}
// Add inverse transform to 'ref' and store.
{
// Load the reference(s).
__m128i ref01, ref23, ref0123;
int32_t buf[4];
// Load four bytes/pixels per line.
const __m128i ref0 = _mm_cvtsi32_si128(WebPMemToInt32(&ref[0 * BPS]));
const __m128i ref1 = _mm_cvtsi32_si128(WebPMemToInt32(&ref[1 * BPS]));
const __m128i ref2 = _mm_cvtsi32_si128(WebPMemToInt32(&ref[2 * BPS]));
const __m128i ref3 = _mm_cvtsi32_si128(WebPMemToInt32(&ref[3 * BPS]));
ref01 = _mm_unpacklo_epi32(ref0, ref1);
ref23 = _mm_unpacklo_epi32(ref2, ref3);
// Convert to 16b.
ref01 = _mm_unpacklo_epi8(ref01, zero);
ref23 = _mm_unpacklo_epi8(ref23, zero);
// Add the inverse transform(s).
ref01 = _mm_add_epi16(ref01, T01);
ref23 = _mm_add_epi16(ref23, T23);
// Unsigned saturate to 8b.
ref0123 = _mm_packus_epi16(ref01, ref23);
_mm_storeu_si128((__m128i *)buf, ref0123);
// Store four bytes/pixels per line.
WebPInt32ToMem(&dst[0 * BPS], buf[0]);
WebPInt32ToMem(&dst[1 * BPS], buf[1]);
WebPInt32ToMem(&dst[2 * BPS], buf[2]);
WebPInt32ToMem(&dst[3 * BPS], buf[3]);
}
}
// Does two inverse transforms.
static void ITransform_Two_SSE2(const uint8_t* ref, const int16_t* in,
uint8_t* dst) {
// This implementation makes use of 16-bit fixed point versions of two
// multiply constants:
// K1 = sqrt(2) * cos (pi/8) ~= 85627 / 2^16
@@ -49,33 +200,21 @@ static void ITransform_SSE2(const uint8_t* ref, const int16_t* in, uint8_t* dst,
__m128i T0, T1, T2, T3;
// Load and concatenate the transform coefficients (we'll do two inverse
// transforms in parallel). In the case of only one inverse transform, the
// second half of the vectors will just contain random value we'll never
// use nor store.
// transforms in parallel).
__m128i in0, in1, in2, in3;
{
in0 = _mm_loadl_epi64((const __m128i*)&in[0]);
in1 = _mm_loadl_epi64((const __m128i*)&in[4]);
in2 = _mm_loadl_epi64((const __m128i*)&in[8]);
in3 = _mm_loadl_epi64((const __m128i*)&in[12]);
// a00 a10 a20 a30 x x x x
// a01 a11 a21 a31 x x x x
// a02 a12 a22 a32 x x x x
// a03 a13 a23 a33 x x x x
if (do_two) {
const __m128i inB0 = _mm_loadl_epi64((const __m128i*)&in[16]);
const __m128i inB1 = _mm_loadl_epi64((const __m128i*)&in[20]);
const __m128i inB2 = _mm_loadl_epi64((const __m128i*)&in[24]);
const __m128i inB3 = _mm_loadl_epi64((const __m128i*)&in[28]);
in0 = _mm_unpacklo_epi64(in0, inB0);
in1 = _mm_unpacklo_epi64(in1, inB1);
in2 = _mm_unpacklo_epi64(in2, inB2);
in3 = _mm_unpacklo_epi64(in3, inB3);
// a00 a10 a20 a30 b00 b10 b20 b30
// a01 a11 a21 a31 b01 b11 b21 b31
// a02 a12 a22 a32 b02 b12 b22 b32
// a03 a13 a23 a33 b03 b13 b23 b33
}
const __m128i tmp0 = _mm_loadu_si128((const __m128i*)&in[0]);
const __m128i tmp1 = _mm_loadu_si128((const __m128i*)&in[8]);
const __m128i tmp2 = _mm_loadu_si128((const __m128i*)&in[16]);
const __m128i tmp3 = _mm_loadu_si128((const __m128i*)&in[24]);
in0 = _mm_unpacklo_epi64(tmp0, tmp2);
in1 = _mm_unpackhi_epi64(tmp0, tmp2);
in2 = _mm_unpacklo_epi64(tmp1, tmp3);
in3 = _mm_unpackhi_epi64(tmp1, tmp3);
// a00 a10 a20 a30 b00 b10 b20 b30
// a01 a11 a21 a31 b01 b11 b21 b31
// a02 a12 a22 a32 b02 b12 b22 b32
// a03 a13 a23 a33 b03 b13 b23 b33
}
// Vertical pass and subsequent transpose.
@@ -148,19 +287,11 @@ static void ITransform_SSE2(const uint8_t* ref, const int16_t* in, uint8_t* dst,
const __m128i zero = _mm_setzero_si128();
// Load the reference(s).
__m128i ref0, ref1, ref2, ref3;
if (do_two) {
// Load eight bytes/pixels per line.
ref0 = _mm_loadl_epi64((const __m128i*)&ref[0 * BPS]);
ref1 = _mm_loadl_epi64((const __m128i*)&ref[1 * BPS]);
ref2 = _mm_loadl_epi64((const __m128i*)&ref[2 * BPS]);
ref3 = _mm_loadl_epi64((const __m128i*)&ref[3 * BPS]);
} else {
// Load four bytes/pixels per line.
ref0 = _mm_cvtsi32_si128(WebPMemToUint32(&ref[0 * BPS]));
ref1 = _mm_cvtsi32_si128(WebPMemToUint32(&ref[1 * BPS]));
ref2 = _mm_cvtsi32_si128(WebPMemToUint32(&ref[2 * BPS]));
ref3 = _mm_cvtsi32_si128(WebPMemToUint32(&ref[3 * BPS]));
}
// Load eight bytes/pixels per line.
ref0 = _mm_loadl_epi64((const __m128i*)&ref[0 * BPS]);
ref1 = _mm_loadl_epi64((const __m128i*)&ref[1 * BPS]);
ref2 = _mm_loadl_epi64((const __m128i*)&ref[2 * BPS]);
ref3 = _mm_loadl_epi64((const __m128i*)&ref[3 * BPS]);
// Convert to 16b.
ref0 = _mm_unpacklo_epi8(ref0, zero);
ref1 = _mm_unpacklo_epi8(ref1, zero);
@@ -176,20 +307,21 @@ static void ITransform_SSE2(const uint8_t* ref, const int16_t* in, uint8_t* dst,
ref1 = _mm_packus_epi16(ref1, ref1);
ref2 = _mm_packus_epi16(ref2, ref2);
ref3 = _mm_packus_epi16(ref3, ref3);
// Store the results.
if (do_two) {
// Store eight bytes/pixels per line.
_mm_storel_epi64((__m128i*)&dst[0 * BPS], ref0);
_mm_storel_epi64((__m128i*)&dst[1 * BPS], ref1);
_mm_storel_epi64((__m128i*)&dst[2 * BPS], ref2);
_mm_storel_epi64((__m128i*)&dst[3 * BPS], ref3);
} else {
// Store four bytes/pixels per line.
WebPUint32ToMem(&dst[0 * BPS], _mm_cvtsi128_si32(ref0));
WebPUint32ToMem(&dst[1 * BPS], _mm_cvtsi128_si32(ref1));
WebPUint32ToMem(&dst[2 * BPS], _mm_cvtsi128_si32(ref2));
WebPUint32ToMem(&dst[3 * BPS], _mm_cvtsi128_si32(ref3));
}
// Store eight bytes/pixels per line.
_mm_storel_epi64((__m128i*)&dst[0 * BPS], ref0);
_mm_storel_epi64((__m128i*)&dst[1 * BPS], ref1);
_mm_storel_epi64((__m128i*)&dst[2 * BPS], ref2);
_mm_storel_epi64((__m128i*)&dst[3 * BPS], ref3);
}
}
// Does one or two inverse transforms.
static void ITransform_SSE2(const uint8_t* ref, const int16_t* in, uint8_t* dst,
int do_two) {
if (do_two) {
ITransform_Two_SSE2(ref, in, dst);
} else {
ITransform_One_SSE2(ref, in, dst);
}
}
@@ -481,7 +613,7 @@ static void CollectHistogram_SSE2(const uint8_t* ref, const uint8_t* pred,
// helper for chroma-DC predictions
static WEBP_INLINE void Put8x8uv_SSE2(uint8_t v, uint8_t* dst) {
int j;
const __m128i values = _mm_set1_epi8(v);
const __m128i values = _mm_set1_epi8((char)v);
for (j = 0; j < 8; ++j) {
_mm_storel_epi64((__m128i*)(dst + j * BPS), values);
}
@@ -489,7 +621,7 @@ static WEBP_INLINE void Put8x8uv_SSE2(uint8_t v, uint8_t* dst) {
static WEBP_INLINE void Put16_SSE2(uint8_t v, uint8_t* dst) {
int j;
const __m128i values = _mm_set1_epi8(v);
const __m128i values = _mm_set1_epi8((char)v);
for (j = 0; j < 16; ++j) {
_mm_store_si128((__m128i*)(dst + j * BPS), values);
}
@@ -540,7 +672,7 @@ static WEBP_INLINE void VerticalPred_SSE2(uint8_t* dst,
static WEBP_INLINE void HE8uv_SSE2(uint8_t* dst, const uint8_t* left) {
int j;
for (j = 0; j < 8; ++j) {
const __m128i values = _mm_set1_epi8(left[j]);
const __m128i values = _mm_set1_epi8((char)left[j]);
_mm_storel_epi64((__m128i*)dst, values);
dst += BPS;
}
@@ -549,7 +681,7 @@ static WEBP_INLINE void HE8uv_SSE2(uint8_t* dst, const uint8_t* left) {
static WEBP_INLINE void HE16_SSE2(uint8_t* dst, const uint8_t* left) {
int j;
for (j = 0; j < 16; ++j) {
const __m128i values = _mm_set1_epi8(left[j]);
const __m128i values = _mm_set1_epi8((char)left[j]);
_mm_store_si128((__m128i*)dst, values);
dst += BPS;
}
@@ -722,10 +854,10 @@ static WEBP_INLINE void VE4_SSE2(uint8_t* dst,
const __m128i lsb = _mm_and_si128(_mm_xor_si128(ABCDEFGH, CDEFGH00), one);
const __m128i b = _mm_subs_epu8(a, lsb);
const __m128i avg = _mm_avg_epu8(b, BCDEFGH0);
const uint32_t vals = _mm_cvtsi128_si32(avg);
const int vals = _mm_cvtsi128_si32(avg);
int i;
for (i = 0; i < 4; ++i) {
WebPUint32ToMem(dst + i * BPS, vals);
WebPInt32ToMem(dst + i * BPS, vals);
}
}
@@ -760,10 +892,10 @@ static WEBP_INLINE void LD4_SSE2(uint8_t* dst,
const __m128i lsb = _mm_and_si128(_mm_xor_si128(ABCDEFGH, CDEFGHH0), one);
const __m128i avg2 = _mm_subs_epu8(avg1, lsb);
const __m128i abcdefg = _mm_avg_epu8(avg2, BCDEFGH0);
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
}
static WEBP_INLINE void VR4_SSE2(uint8_t* dst,
@@ -782,10 +914,10 @@ static WEBP_INLINE void VR4_SSE2(uint8_t* dst,
const __m128i lsb = _mm_and_si128(_mm_xor_si128(IXABCD, ABCD0), one);
const __m128i avg2 = _mm_subs_epu8(avg1, lsb);
const __m128i efgh = _mm_avg_epu8(avg2, XABCD);
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcd ));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( efgh ));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(abcd, 1)));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(efgh, 1)));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( abcd ));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( efgh ));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(abcd, 1)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_slli_si128(efgh, 1)));
// these two are hard to implement in SSE2, so we keep the C-version:
DST(0, 2) = AVG3(J, I, X);
@@ -807,11 +939,12 @@ static WEBP_INLINE void VL4_SSE2(uint8_t* dst,
const __m128i abbc = _mm_or_si128(ab, bc);
const __m128i lsb2 = _mm_and_si128(abbc, lsb1);
const __m128i avg4 = _mm_subs_epu8(avg3, lsb2);
const uint32_t extra_out = _mm_cvtsi128_si32(_mm_srli_si128(avg4, 4));
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( avg1 ));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( avg4 ));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg1, 1)));
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg4, 1)));
const uint32_t extra_out =
(uint32_t)_mm_cvtsi128_si32(_mm_srli_si128(avg4, 4));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32( avg1 ));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32( avg4 ));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg1, 1)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(avg4, 1)));
// these two are hard to get and irregular
DST(3, 2) = (extra_out >> 0) & 0xff;
@@ -829,10 +962,10 @@ static WEBP_INLINE void RD4_SSE2(uint8_t* dst,
const __m128i lsb = _mm_and_si128(_mm_xor_si128(JIXABCD__, LKJIXABCD), one);
const __m128i avg2 = _mm_subs_epu8(avg1, lsb);
const __m128i abcdefg = _mm_avg_epu8(avg2, KJIXABCD_);
WebPUint32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPUint32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPUint32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPUint32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
WebPInt32ToMem(dst + 3 * BPS, _mm_cvtsi128_si32( abcdefg ));
WebPInt32ToMem(dst + 2 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 1)));
WebPInt32ToMem(dst + 1 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 2)));
WebPInt32ToMem(dst + 0 * BPS, _mm_cvtsi128_si32(_mm_srli_si128(abcdefg, 3)));
}
static WEBP_INLINE void HU4_SSE2(uint8_t* dst, const uint8_t* top) {
@@ -875,14 +1008,14 @@ static WEBP_INLINE void HD4_SSE2(uint8_t* dst, const uint8_t* top) {
static WEBP_INLINE void TM4_SSE2(uint8_t* dst, const uint8_t* top) {
const __m128i zero = _mm_setzero_si128();
const __m128i top_values = _mm_cvtsi32_si128(WebPMemToUint32(top));
const __m128i top_values = _mm_cvtsi32_si128(WebPMemToInt32(top));
const __m128i top_base = _mm_unpacklo_epi8(top_values, zero);
int y;
for (y = 0; y < 4; ++y, dst += BPS) {
const int val = top[-2 - y] - top[-1];
const __m128i base = _mm_set1_epi16(val);
const __m128i out = _mm_packus_epi16(_mm_add_epi16(base, top_base), zero);
WebPUint32ToMem(dst, _mm_cvtsi128_si32(out));
WebPInt32ToMem(dst, _mm_cvtsi128_si32(out));
}
}
+11 -3
View File
@@ -189,6 +189,12 @@ static void GradientFilter_C(const uint8_t* data, int width, int height,
//------------------------------------------------------------------------------
static void NoneUnfilter_C(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
(void)prev;
if (out != in) memcpy(out, in, width * sizeof(*out));
}
static void HorizontalUnfilter_C(const uint8_t* prev, const uint8_t* in,
uint8_t* out, int width) {
uint8_t pred = (prev == NULL) ? 0 : prev[0];
@@ -233,13 +239,14 @@ static void GradientUnfilter_C(const uint8_t* prev, const uint8_t* in,
WebPFilterFunc WebPFilters[WEBP_FILTER_LAST];
WebPUnfilterFunc WebPUnfilters[WEBP_FILTER_LAST];
extern VP8CPUInfo VP8GetCPUInfo;
extern void VP8FiltersInitMIPSdspR2(void);
extern void VP8FiltersInitMSA(void);
extern void VP8FiltersInitNEON(void);
extern void VP8FiltersInitSSE2(void);
WEBP_DSP_INIT_FUNC(VP8FiltersInit) {
WebPUnfilters[WEBP_FILTER_NONE] = NULL;
WebPUnfilters[WEBP_FILTER_NONE] = NoneUnfilter_C;
#if !WEBP_NEON_OMIT_C_CODE
WebPUnfilters[WEBP_FILTER_HORIZONTAL] = HorizontalUnfilter_C;
WebPUnfilters[WEBP_FILTER_VERTICAL] = VerticalUnfilter_C;
@@ -254,7 +261,7 @@ WEBP_DSP_INIT_FUNC(VP8FiltersInit) {
#endif
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8FiltersInitSSE2();
}
@@ -271,13 +278,14 @@ WEBP_DSP_INIT_FUNC(VP8FiltersInit) {
#endif
}
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(VP8GetCPUInfo != NULL && VP8GetCPUInfo(kNEON))) {
VP8FiltersInitNEON();
}
#endif
assert(WebPUnfilters[WEBP_FILTER_NONE] != NULL);
assert(WebPUnfilters[WEBP_FILTER_HORIZONTAL] != NULL);
assert(WebPUnfilters[WEBP_FILTER_VERTICAL] != NULL);
assert(WebPUnfilters[WEBP_FILTER_GRADIENT] != NULL);
+5
View File
@@ -320,7 +320,12 @@ extern void VP8FiltersInitSSE2(void);
WEBP_TSAN_IGNORE_FUNCTION void VP8FiltersInitSSE2(void) {
WebPUnfilters[WEBP_FILTER_HORIZONTAL] = HorizontalUnfilter_SSE2;
#if defined(CHROMIUM)
// TODO(crbug.com/654974)
(void)VerticalUnfilter_SSE2;
#else
WebPUnfilters[WEBP_FILTER_VERTICAL] = VerticalUnfilter_SSE2;
#endif
WebPUnfilters[WEBP_FILTER_GRADIENT] = GradientUnfilter_SSE2;
WebPFilters[WEBP_FILTER_HORIZONTAL] = HorizontalFilter_SSE2;
+51 -30
View File
@@ -49,7 +49,7 @@ static WEBP_INLINE uint32_t Clip255(uint32_t a) {
}
static WEBP_INLINE int AddSubtractComponentFull(int a, int b, int c) {
return Clip255(a + b - c);
return Clip255((uint32_t)(a + b - c));
}
static WEBP_INLINE uint32_t ClampedAddSubtractFull(uint32_t c0, uint32_t c1,
@@ -66,7 +66,7 @@ static WEBP_INLINE uint32_t ClampedAddSubtractFull(uint32_t c0, uint32_t c1,
}
static WEBP_INLINE int AddSubtractComponentHalf(int a, int b) {
return Clip255(a + (a - b) / 2);
return Clip255((uint32_t)(a + (a - b) / 2));
}
static WEBP_INLINE uint32_t ClampedAddSubtractHalf(uint32_t c0, uint32_t c1,
@@ -107,63 +107,77 @@ static WEBP_INLINE uint32_t Select(uint32_t a, uint32_t b, uint32_t c) {
//------------------------------------------------------------------------------
// Predictors
uint32_t VP8LPredictor0_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor0_C(const uint32_t* const left,
const uint32_t* const top) {
(void)top;
(void)left;
return ARGB_BLACK;
}
uint32_t VP8LPredictor1_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor1_C(const uint32_t* const left,
const uint32_t* const top) {
(void)top;
return left;
return *left;
}
uint32_t VP8LPredictor2_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor2_C(const uint32_t* const left,
const uint32_t* const top) {
(void)left;
return top[0];
}
uint32_t VP8LPredictor3_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor3_C(const uint32_t* const left,
const uint32_t* const top) {
(void)left;
return top[1];
}
uint32_t VP8LPredictor4_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor4_C(const uint32_t* const left,
const uint32_t* const top) {
(void)left;
return top[-1];
}
uint32_t VP8LPredictor5_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average3(left, top[0], top[1]);
uint32_t VP8LPredictor5_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average3(*left, top[0], top[1]);
return pred;
}
uint32_t VP8LPredictor6_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average2(left, top[-1]);
uint32_t VP8LPredictor6_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2(*left, top[-1]);
return pred;
}
uint32_t VP8LPredictor7_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average2(left, top[0]);
uint32_t VP8LPredictor7_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2(*left, top[0]);
return pred;
}
uint32_t VP8LPredictor8_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor8_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2(top[-1], top[0]);
(void)left;
return pred;
}
uint32_t VP8LPredictor9_C(uint32_t left, const uint32_t* const top) {
uint32_t VP8LPredictor9_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2(top[0], top[1]);
(void)left;
return pred;
}
uint32_t VP8LPredictor10_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average4(left, top[-1], top[0], top[1]);
uint32_t VP8LPredictor10_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average4(*left, top[-1], top[0], top[1]);
return pred;
}
uint32_t VP8LPredictor11_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Select(top[0], left, top[-1]);
uint32_t VP8LPredictor11_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Select(top[0], *left, top[-1]);
return pred;
}
uint32_t VP8LPredictor12_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractFull(left, top[0], top[-1]);
uint32_t VP8LPredictor12_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractFull(*left, top[0], top[-1]);
return pred;
}
uint32_t VP8LPredictor13_C(uint32_t left, const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractHalf(left, top[0], top[-1]);
uint32_t VP8LPredictor13_C(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractHalf(*left, top[0], top[-1]);
return pred;
}
@@ -279,10 +293,10 @@ void VP8LTransformColorInverse_C(const VP8LMultipliers* const m,
const uint32_t red = argb >> 16;
int new_red = red & 0xff;
int new_blue = argb & 0xff;
new_red += ColorTransformDelta(m->green_to_red_, green);
new_red += ColorTransformDelta((int8_t)m->green_to_red_, green);
new_red &= 0xff;
new_blue += ColorTransformDelta(m->green_to_blue_, green);
new_blue += ColorTransformDelta(m->red_to_blue_, (int8_t)new_red);
new_blue += ColorTransformDelta((int8_t)m->green_to_blue_, green);
new_blue += ColorTransformDelta((int8_t)m->red_to_blue_, (int8_t)new_red);
new_blue &= 0xff;
dst[i] = (argb & 0xff00ff00u) | (new_red << 16) | (new_blue);
}
@@ -381,7 +395,7 @@ void VP8LInverseTransform(const VP8LTransform* const transform,
assert(row_start < row_end);
assert(row_end <= transform->ysize_);
switch (transform->type_) {
case SUBTRACT_GREEN:
case SUBTRACT_GREEN_TRANSFORM:
VP8LAddGreenToBlueAndRed(in, (row_end - row_start) * width, out);
break;
case PREDICTOR_TRANSFORM:
@@ -574,7 +588,9 @@ VP8LConvertFunc VP8LConvertBGRAToBGR;
VP8LMapARGBFunc VP8LMapColor32b;
VP8LMapAlphaFunc VP8LMapColor8b;
extern VP8CPUInfo VP8GetCPUInfo;
extern void VP8LDspInitSSE2(void);
extern void VP8LDspInitSSE41(void);
extern void VP8LDspInitNEON(void);
extern void VP8LDspInitMIPSdspR2(void);
extern void VP8LDspInitMSA(void);
@@ -621,9 +637,14 @@ WEBP_DSP_INIT_FUNC(VP8LDspInit) {
// If defined, use CPUInfo() to overwrite some pointers with faster versions.
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8LDspInitSSE2();
#if defined(WEBP_HAVE_SSE41)
if (VP8GetCPUInfo(kSSE4_1)) {
VP8LDspInitSSE41();
}
#endif
}
#endif
#if defined(WEBP_USE_MIPS_DSP_R2)
@@ -638,7 +659,7 @@ WEBP_DSP_INIT_FUNC(VP8LDspInit) {
#endif
}
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(VP8GetCPUInfo != NULL && VP8GetCPUInfo(kNEON))) {
VP8LDspInitNEON();
+34 -19
View File
@@ -28,23 +28,38 @@ extern "C" {
//------------------------------------------------------------------------------
// Decoding
typedef uint32_t (*VP8LPredictorFunc)(uint32_t left, const uint32_t* const top);
typedef uint32_t (*VP8LPredictorFunc)(const uint32_t* const left,
const uint32_t* const top);
extern VP8LPredictorFunc VP8LPredictors[16];
uint32_t VP8LPredictor0_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor1_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor2_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor3_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor4_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor5_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor6_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor7_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor8_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor9_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor10_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor11_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor12_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor13_C(uint32_t left, const uint32_t* const top);
uint32_t VP8LPredictor0_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor1_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor2_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor3_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor4_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor5_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor6_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor7_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor8_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor9_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor10_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor11_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor12_C(const uint32_t* const left,
const uint32_t* const top);
uint32_t VP8LPredictor13_C(const uint32_t* const left,
const uint32_t* const top);
// These Add/Sub function expects upper[-1] and out[-1] to be readable.
typedef void (*VP8LPredictorAddSubFunc)(const uint32_t* in,
@@ -167,9 +182,9 @@ extern VP8LPredictorAddSubFunc VP8LPredictorsSub_C[16];
// -----------------------------------------------------------------------------
// Huffman-cost related functions.
typedef double (*VP8LCostFunc)(const uint32_t* population, int length);
typedef double (*VP8LCostCombinedFunc)(const uint32_t* X, const uint32_t* Y,
int length);
typedef uint32_t (*VP8LCostFunc)(const uint32_t* population, int length);
typedef uint32_t (*VP8LCostCombinedFunc)(const uint32_t* X, const uint32_t* Y,
int length);
typedef float (*VP8LCombinedShannonEntropyFunc)(const int X[256],
const int Y[256]);
@@ -183,7 +198,7 @@ typedef struct { // small struct to hold counters
} VP8LStreaks;
typedef struct { // small struct to hold bit entropy results
double entropy; // entropy
float entropy; // entropy
uint32_t sum; // sum of the population
int nonzeros; // number of non-zero elements in the population
uint32_t max_val; // maximum value in the population
+4 -4
View File
@@ -16,9 +16,9 @@
#ifndef WEBP_DSP_LOSSLESS_COMMON_H_
#define WEBP_DSP_LOSSLESS_COMMON_H_
#include "src/webp/types.h"
#include "src/dsp/cpu.h"
#include "src/utils/utils.h"
#include "src/webp/types.h"
#ifdef __cplusplus
extern "C" {
@@ -166,7 +166,7 @@ uint32_t VP8LSubPixels(uint32_t a, uint32_t b) {
}
//------------------------------------------------------------------------------
// Transform-related functions use din both encoding and decoding.
// Transform-related functions used in both encoding and decoding.
// Macros used to create a batch predictor that iteratively uses a
// one-pixel predictor.
@@ -179,7 +179,7 @@ static void PREDICTOR_ADD(const uint32_t* in, const uint32_t* upper, \
int x; \
assert(upper != NULL); \
for (x = 0; x < num_pixels; ++x) { \
const uint32_t pred = (PREDICTOR)(out[x - 1], upper + x); \
const uint32_t pred = (PREDICTOR)(&out[x - 1], upper + x); \
out[x] = VP8LAddPixels(in[x], pred); \
} \
}
+49 -24
View File
@@ -329,6 +329,15 @@ const uint8_t kPrefixEncodeExtraBitsValue[PREFIX_LOOKUP_IDX_MAX] = {
static float FastSLog2Slow_C(uint32_t v) {
assert(v >= LOG_LOOKUP_IDX_MAX);
if (v < APPROX_LOG_WITH_CORRECTION_MAX) {
#if !defined(WEBP_HAVE_SLOW_CLZ_CTZ)
// use clz if available
const int log_cnt = BitsLog2Floor(v) - 7;
const uint32_t y = 1 << log_cnt;
int correction = 0;
const float v_f = (float)v;
const uint32_t orig_v = v;
v >>= log_cnt;
#else
int log_cnt = 0;
uint32_t y = 1;
int correction = 0;
@@ -339,6 +348,7 @@ static float FastSLog2Slow_C(uint32_t v) {
v = v >> 1;
y = y << 1;
} while (v >= LOG_LOOKUP_IDX_MAX);
#endif
// vf = (2^log_cnt) * Xf; where y = 2^log_cnt and Xf < 256
// Xf = floor(Xf) * (1 + (v % y) / v)
// log2(Xf) = log2(floor(Xf)) + log2(1 + (v % y) / v)
@@ -355,6 +365,14 @@ static float FastSLog2Slow_C(uint32_t v) {
static float FastLog2Slow_C(uint32_t v) {
assert(v >= LOG_LOOKUP_IDX_MAX);
if (v < APPROX_LOG_WITH_CORRECTION_MAX) {
#if !defined(WEBP_HAVE_SLOW_CLZ_CTZ)
// use clz if available
const int log_cnt = BitsLog2Floor(v) - 7;
const uint32_t y = 1 << log_cnt;
const uint32_t orig_v = v;
double log_2;
v >>= log_cnt;
#else
int log_cnt = 0;
uint32_t y = 1;
const uint32_t orig_v = v;
@@ -364,6 +382,7 @@ static float FastLog2Slow_C(uint32_t v) {
v = v >> 1;
y = y << 1;
} while (v >= LOG_LOOKUP_IDX_MAX);
#endif
log_2 = kLog2Table[v] + log_cnt;
if (orig_v >= APPROX_LOG_MAX) {
// Since the division is still expensive, add this correction factor only
@@ -383,7 +402,7 @@ static float FastLog2Slow_C(uint32_t v) {
// Compute the combined Shanon's entropy for distribution {X} and {X+Y}
static float CombinedShannonEntropy_C(const int X[256], const int Y[256]) {
int i;
double retval = 0.;
float retval = 0.f;
int sumX = 0, sumXY = 0;
for (i = 0; i < 256; ++i) {
const int x = X[i];
@@ -399,7 +418,7 @@ static float CombinedShannonEntropy_C(const int X[256], const int Y[256]) {
}
}
retval += VP8LFastSLog2(sumX) + VP8LFastSLog2(sumXY);
return (float)retval;
return retval;
}
void VP8LBitEntropyInit(VP8LBitEntropy* const entropy) {
@@ -503,11 +522,11 @@ static void GetCombinedEntropyUnrefined_C(const uint32_t X[],
void VP8LSubtractGreenFromBlueAndRed_C(uint32_t* argb_data, int num_pixels) {
int i;
for (i = 0; i < num_pixels; ++i) {
const int argb = argb_data[i];
const int argb = (int)argb_data[i];
const int green = (argb >> 8) & 0xff;
const uint32_t new_r = (((argb >> 16) & 0xff) - green) & 0xff;
const uint32_t new_b = (((argb >> 0) & 0xff) - green) & 0xff;
argb_data[i] = (argb & 0xff00ff00u) | (new_r << 16) | new_b;
argb_data[i] = ((uint32_t)argb & 0xff00ff00u) | (new_r << 16) | new_b;
}
}
@@ -528,10 +547,10 @@ void VP8LTransformColor_C(const VP8LMultipliers* const m, uint32_t* data,
const int8_t red = U32ToS8(argb >> 16);
int new_red = red & 0xff;
int new_blue = argb & 0xff;
new_red -= ColorTransformDelta(m->green_to_red_, green);
new_red -= ColorTransformDelta((int8_t)m->green_to_red_, green);
new_red &= 0xff;
new_blue -= ColorTransformDelta(m->green_to_blue_, green);
new_blue -= ColorTransformDelta(m->red_to_blue_, red);
new_blue -= ColorTransformDelta((int8_t)m->green_to_blue_, green);
new_blue -= ColorTransformDelta((int8_t)m->red_to_blue_, red);
new_blue &= 0xff;
data[i] = (argb & 0xff00ff00u) | (new_red << 16) | (new_blue);
}
@@ -541,7 +560,7 @@ static WEBP_INLINE uint8_t TransformColorRed(uint8_t green_to_red,
uint32_t argb) {
const int8_t green = U32ToS8(argb >> 8);
int new_red = argb >> 16;
new_red -= ColorTransformDelta(green_to_red, green);
new_red -= ColorTransformDelta((int8_t)green_to_red, green);
return (new_red & 0xff);
}
@@ -550,9 +569,9 @@ static WEBP_INLINE uint8_t TransformColorBlue(uint8_t green_to_blue,
uint32_t argb) {
const int8_t green = U32ToS8(argb >> 8);
const int8_t red = U32ToS8(argb >> 16);
uint8_t new_blue = argb & 0xff;
new_blue -= ColorTransformDelta(green_to_blue, green);
new_blue -= ColorTransformDelta(red_to_blue, red);
int new_blue = argb & 0xff;
new_blue -= ColorTransformDelta((int8_t)green_to_blue, green);
new_blue -= ColorTransformDelta((int8_t)red_to_blue, red);
return (new_blue & 0xff);
}
@@ -617,20 +636,25 @@ void VP8LBundleColorMap_C(const uint8_t* const row, int width, int xbits,
//------------------------------------------------------------------------------
static double ExtraCost_C(const uint32_t* population, int length) {
static uint32_t ExtraCost_C(const uint32_t* population, int length) {
int i;
double cost = 0.;
for (i = 2; i < length - 2; ++i) cost += (i >> 1) * population[i + 2];
uint32_t cost = population[4] + population[5];
assert(length % 2 == 0);
for (i = 2; i < length / 2 - 1; ++i) {
cost += i * (population[2 * i + 2] + population[2 * i + 3]);
}
return cost;
}
static double ExtraCostCombined_C(const uint32_t* X, const uint32_t* Y,
int length) {
static uint32_t ExtraCostCombined_C(const uint32_t* X, const uint32_t* Y,
int length) {
int i;
double cost = 0.;
for (i = 2; i < length - 2; ++i) {
const int xy = X[i + 2] + Y[i + 2];
cost += (i >> 1) * xy;
uint32_t cost = X[4] + Y[4] + X[5] + Y[5];
assert(length % 2 == 0);
for (i = 2; i < length / 2 - 1; ++i) {
const int xy0 = X[2 * i + 2] + Y[2 * i + 2];
const int xy1 = X[2 * i + 3] + Y[2 * i + 3];
cost += i * (xy0 + xy1);
}
return cost;
}
@@ -726,7 +750,7 @@ static void PredictorSub##PREDICTOR_I##_C(const uint32_t* in, \
assert(upper != NULL); \
for (x = 0; x < num_pixels; ++x) { \
const uint32_t pred = \
VP8LPredictor##PREDICTOR_I##_C(in[x - 1], upper + x); \
VP8LPredictor##PREDICTOR_I##_C(&in[x - 1], upper + x); \
out[x] = VP8LSubPixels(in[x], pred); \
} \
}
@@ -772,6 +796,7 @@ VP8LBundleColorMapFunc VP8LBundleColorMap;
VP8LPredictorAddSubFunc VP8LPredictorsSub[16];
VP8LPredictorAddSubFunc VP8LPredictorsSub_C[16];
extern VP8CPUInfo VP8GetCPUInfo;
extern void VP8LEncDspInitSSE2(void);
extern void VP8LEncDspInitSSE41(void);
extern void VP8LEncDspInitNEON(void);
@@ -843,10 +868,10 @@ WEBP_DSP_INIT_FUNC(VP8LEncDspInit) {
// If defined, use CPUInfo() to overwrite some pointers with faster versions.
if (VP8GetCPUInfo != NULL) {
#if defined(WEBP_USE_SSE2)
#if defined(WEBP_HAVE_SSE2)
if (VP8GetCPUInfo(kSSE2)) {
VP8LEncDspInitSSE2();
#if defined(WEBP_USE_SSE41)
#if defined(WEBP_HAVE_SSE41)
if (VP8GetCPUInfo(kSSE4_1)) {
VP8LEncDspInitSSE41();
}
@@ -870,7 +895,7 @@ WEBP_DSP_INIT_FUNC(VP8LEncDspInit) {
#endif
}
#if defined(WEBP_USE_NEON)
#if defined(WEBP_HAVE_NEON)
if (WEBP_NEON_OMIT_C_CODE ||
(VP8GetCPUInfo != NULL && VP8GetCPUInfo(kNEON))) {
VP8LEncDspInitNEON();
+11 -11
View File
@@ -103,8 +103,8 @@ static float FastLog2Slow_MIPS32(uint32_t v) {
// cost += i * *(pop + 1);
// pop += 2;
// }
// return (double)cost;
static double ExtraCost_MIPS32(const uint32_t* const population, int length) {
// return cost;
static uint32_t ExtraCost_MIPS32(const uint32_t* const population, int length) {
int i, temp0, temp1;
const uint32_t* pop = &population[4];
const uint32_t* const LoopEnd = &population[length];
@@ -130,7 +130,7 @@ static double ExtraCost_MIPS32(const uint32_t* const population, int length) {
: "memory", "hi", "lo"
);
return (double)((int64_t)temp0 << 32 | temp1);
return ((int64_t)temp0 << 32 | temp1);
}
// C version of this function:
@@ -148,9 +148,9 @@ static double ExtraCost_MIPS32(const uint32_t* const population, int length) {
// pX += 2;
// pY += 2;
// }
// return (double)cost;
static double ExtraCostCombined_MIPS32(const uint32_t* const X,
const uint32_t* const Y, int length) {
// return cost;
static uint32_t ExtraCostCombined_MIPS32(const uint32_t* const X,
const uint32_t* const Y, int length) {
int i, temp0, temp1, temp2, temp3;
const uint32_t* pX = &X[4];
const uint32_t* pY = &Y[4];
@@ -183,7 +183,7 @@ static double ExtraCostCombined_MIPS32(const uint32_t* const X,
: "memory", "hi", "lo"
);
return (double)((int64_t)temp0 << 32 | temp1);
return ((int64_t)temp0 << 32 | temp1);
}
#define HUFFMAN_COST_PASS \
@@ -347,24 +347,24 @@ static void GetCombinedEntropyUnrefined_MIPS32(const uint32_t X[],
static void AddVector_MIPS32(const uint32_t* pa, const uint32_t* pb,
uint32_t* pout, int size) {
uint32_t temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7;
const uint32_t end = ((size) / 4) * 4;
const int end = ((size) / 4) * 4;
const uint32_t* const LoopEnd = pa + end;
int i;
ASM_START
ADD_TO_OUT(0, 4, 8, 12, 1, pa, pb, pout)
ASM_END_0
for (i = end; i < size; ++i) pout[i] = pa[i] + pb[i];
for (i = 0; i < size - end; ++i) pout[i] = pa[i] + pb[i];
}
static void AddVectorEq_MIPS32(const uint32_t* pa, uint32_t* pout, int size) {
uint32_t temp0, temp1, temp2, temp3, temp4, temp5, temp6, temp7;
const uint32_t end = ((size) / 4) * 4;
const int end = ((size) / 4) * 4;
const uint32_t* const LoopEnd = pa + end;
int i;
ASM_START
ADD_TO_OUT(0, 4, 8, 12, 0, pa, pout, pout)
ASM_END_1
for (i = end; i < size; ++i) pout[i] += pa[i];
for (i = 0; i < size - end; ++i) pout[i] += pa[i];
}
#undef ASM_END_1
+1 -1
View File
@@ -25,7 +25,7 @@
// vtbl?_u8 are marked unavailable for iOS arm64 with Xcode < 6.3, use
// non-standard versions there.
#if defined(__APPLE__) && defined(__aarch64__) && \
#if defined(__APPLE__) && WEBP_AARCH64 && \
defined(__apple_build_version__) && (__apple_build_version__< 6020037)
#define USE_VTBLQ
#endif
+45 -72
View File
@@ -54,8 +54,8 @@ static void TransformColor_SSE2(const VP8LMultipliers* const m,
const __m128i mults_rb = MK_CST_16(CST_5b(m->green_to_red_),
CST_5b(m->green_to_blue_));
const __m128i mults_b2 = MK_CST_16(CST_5b(m->red_to_blue_), 0);
const __m128i mask_ag = _mm_set1_epi32(0xff00ff00); // alpha-green masks
const __m128i mask_rb = _mm_set1_epi32(0x00ff00ff); // red-blue masks
const __m128i mask_ag = _mm_set1_epi32((int)0xff00ff00); // alpha-green masks
const __m128i mask_rb = _mm_set1_epi32(0x00ff00ff); // red-blue masks
int i;
for (i = 0; i + 4 <= num_pixels; i += 4) {
const __m128i in = _mm_loadu_si128((__m128i*)&argb_data[i]); // argb
@@ -232,79 +232,55 @@ static void AddVectorEq_SSE2(const uint32_t* a, uint32_t* out, int size) {
//------------------------------------------------------------------------------
// Entropy
// Checks whether the X or Y contribution is worth computing and adding.
// Used in loop unrolling.
#define ANALYZE_X_OR_Y(x_or_y, j) \
do { \
if ((x_or_y)[i + (j)] != 0) retval -= VP8LFastSLog2((x_or_y)[i + (j)]); \
} while (0)
// TODO(https://crbug.com/webp/499): this function produces different results
// from the C code due to use of double/float resulting in output differences
// when compared to -noasm.
#if !(defined(WEBP_HAVE_SLOW_CLZ_CTZ) || defined(__i386__) || defined(_M_IX86))
// Checks whether the X + Y contribution is worth computing and adding.
// Used in loop unrolling.
#define ANALYZE_XY(j) \
do { \
if (tmp[j] != 0) { \
retval -= VP8LFastSLog2(tmp[j]); \
ANALYZE_X_OR_Y(X, j); \
} \
} while (0)
#if !(defined(__i386__) || defined(_M_IX86))
static float CombinedShannonEntropy_SSE2(const int X[256], const int Y[256]) {
int i;
double retval = 0.;
int sumX, sumXY;
int32_t tmp[4];
__m128i zero = _mm_setzero_si128();
// Sums up X + Y, 4 ints at a time (and will merge it at the end for sumXY).
__m128i sumXY_128 = zero;
__m128i sumX_128 = zero;
float retval = 0.f;
int sumX = 0, sumXY = 0;
const __m128i zero = _mm_setzero_si128();
for (i = 0; i < 256; i += 4) {
const __m128i x = _mm_loadu_si128((const __m128i*)(X + i));
const __m128i y = _mm_loadu_si128((const __m128i*)(Y + i));
// Check if any X is non-zero: this actually provides a speedup as X is
// usually sparse.
if (_mm_movemask_epi8(_mm_cmpeq_epi32(x, zero)) != 0xFFFF) {
const __m128i xy_128 = _mm_add_epi32(x, y);
sumXY_128 = _mm_add_epi32(sumXY_128, xy_128);
sumX_128 = _mm_add_epi32(sumX_128, x);
// Analyze the different X + Y.
_mm_storeu_si128((__m128i*)tmp, xy_128);
ANALYZE_XY(0);
ANALYZE_XY(1);
ANALYZE_XY(2);
ANALYZE_XY(3);
} else {
// X is fully 0, so only deal with Y.
sumXY_128 = _mm_add_epi32(sumXY_128, y);
ANALYZE_X_OR_Y(Y, 0);
ANALYZE_X_OR_Y(Y, 1);
ANALYZE_X_OR_Y(Y, 2);
ANALYZE_X_OR_Y(Y, 3);
for (i = 0; i < 256; i += 16) {
const __m128i x0 = _mm_loadu_si128((const __m128i*)(X + i + 0));
const __m128i y0 = _mm_loadu_si128((const __m128i*)(Y + i + 0));
const __m128i x1 = _mm_loadu_si128((const __m128i*)(X + i + 4));
const __m128i y1 = _mm_loadu_si128((const __m128i*)(Y + i + 4));
const __m128i x2 = _mm_loadu_si128((const __m128i*)(X + i + 8));
const __m128i y2 = _mm_loadu_si128((const __m128i*)(Y + i + 8));
const __m128i x3 = _mm_loadu_si128((const __m128i*)(X + i + 12));
const __m128i y3 = _mm_loadu_si128((const __m128i*)(Y + i + 12));
const __m128i x4 = _mm_packs_epi16(_mm_packs_epi32(x0, x1),
_mm_packs_epi32(x2, x3));
const __m128i y4 = _mm_packs_epi16(_mm_packs_epi32(y0, y1),
_mm_packs_epi32(y2, y3));
const int32_t mx = _mm_movemask_epi8(_mm_cmpgt_epi8(x4, zero));
int32_t my = _mm_movemask_epi8(_mm_cmpgt_epi8(y4, zero)) | mx;
while (my) {
const int32_t j = BitsCtz(my);
int xy;
if ((mx >> j) & 1) {
const int x = X[i + j];
sumXY += x;
retval -= VP8LFastSLog2(x);
}
xy = X[i + j] + Y[i + j];
sumX += xy;
retval -= VP8LFastSLog2(xy);
my &= my - 1;
}
}
// Sum up sumX_128 to get sumX.
_mm_storeu_si128((__m128i*)tmp, sumX_128);
sumX = tmp[3] + tmp[2] + tmp[1] + tmp[0];
// Sum up sumXY_128 to get sumXY.
_mm_storeu_si128((__m128i*)tmp, sumXY_128);
sumXY = tmp[3] + tmp[2] + tmp[1] + tmp[0];
retval += VP8LFastSLog2(sumX) + VP8LFastSLog2(sumXY);
return (float)retval;
return retval;
}
#endif // !(defined(__i386__) || defined(_M_IX86))
#undef ANALYZE_X_OR_Y
#undef ANALYZE_XY
#else
#define DONT_USE_COMBINED_SHANNON_ENTROPY_SSE2_FUNC // won't be faster
#endif
//------------------------------------------------------------------------------
@@ -400,7 +376,7 @@ static void BundleColorMap_SSE2(const uint8_t* const row, int width, int xbits,
break;
}
case 2: {
const __m128i mask_or = _mm_set1_epi32(0xff000000);
const __m128i mask_or = _mm_set1_epi32((int)0xff000000);
const __m128i mul_cst = _mm_set1_epi16(0x0104);
const __m128i mask_mul = _mm_set1_epi16(0x0f00);
for (x = 0; x + 16 <= width; x += 16, dst += 4) {
@@ -451,7 +427,7 @@ static WEBP_INLINE void Average2_m128i(const __m128i* const a0,
static void PredictorSub0_SSE2(const uint32_t* in, const uint32_t* upper,
int num_pixels, uint32_t* out) {
int i;
const __m128i black = _mm_set1_epi32(ARGB_BLACK);
const __m128i black = _mm_set1_epi32((int)ARGB_BLACK);
for (i = 0; i + 4 <= num_pixels; i += 4) {
const __m128i src = _mm_loadu_si128((const __m128i*)&in[i]);
const __m128i res = _mm_sub_epi8(src, black);
@@ -662,10 +638,7 @@ WEBP_TSAN_IGNORE_FUNCTION void VP8LEncDspInitSSE2(void) {
VP8LCollectColorRedTransforms = CollectColorRedTransforms_SSE2;
VP8LAddVector = AddVector_SSE2;
VP8LAddVectorEq = AddVectorEq_SSE2;
// TODO(https://crbug.com/webp/499): this function produces different results
// from the C code due to use of double/float resulting in output differences
// when compared to -noasm.
#if !(defined(__i386__) || defined(_M_IX86))
#if !defined(DONT_USE_COMBINED_SHANNON_ENTROPY_SSE2_FUNC)
VP8LCombinedShannonEntropy = CombinedShannonEntropy_SSE2;
#endif
VP8LVectorMismatch = VectorMismatch_SSE2;
+115 -58
View File
@@ -18,8 +18,53 @@
#include <smmintrin.h>
#include "src/dsp/lossless.h"
// For sign-extended multiplying constants, pre-shifted by 5:
#define CST_5b(X) (((int16_t)((uint16_t)(X) << 8)) >> 5)
//------------------------------------------------------------------------------
// Cost operations.
static WEBP_INLINE uint32_t HorizontalSum_SSE41(__m128i cost) {
cost = _mm_add_epi32(cost, _mm_srli_si128(cost, 8));
cost = _mm_add_epi32(cost, _mm_srli_si128(cost, 4));
return _mm_cvtsi128_si32(cost);
}
static uint32_t ExtraCost_SSE41(const uint32_t* const a, int length) {
int i;
__m128i cost = _mm_set_epi32(2 * a[7], 2 * a[6], a[5], a[4]);
assert(length % 8 == 0);
for (i = 8; i + 8 <= length; i += 8) {
const int j = (i - 2) >> 1;
const __m128i a0 = _mm_loadu_si128((const __m128i*)&a[i]);
const __m128i a1 = _mm_loadu_si128((const __m128i*)&a[i + 4]);
const __m128i w = _mm_set_epi32(j + 3, j + 2, j + 1, j);
const __m128i a2 = _mm_hadd_epi32(a0, a1);
const __m128i mul = _mm_mullo_epi32(a2, w);
cost = _mm_add_epi32(mul, cost);
}
return HorizontalSum_SSE41(cost);
}
static uint32_t ExtraCostCombined_SSE41(const uint32_t* const a,
const uint32_t* const b, int length) {
int i;
__m128i cost = _mm_add_epi32(_mm_set_epi32(2 * a[7], 2 * a[6], a[5], a[4]),
_mm_set_epi32(2 * b[7], 2 * b[6], b[5], b[4]));
assert(length % 8 == 0);
for (i = 8; i + 8 <= length; i += 8) {
const int j = (i - 2) >> 1;
const __m128i a0 = _mm_loadu_si128((const __m128i*)&a[i]);
const __m128i a1 = _mm_loadu_si128((const __m128i*)&a[i + 4]);
const __m128i b0 = _mm_loadu_si128((const __m128i*)&b[i]);
const __m128i b1 = _mm_loadu_si128((const __m128i*)&b[i + 4]);
const __m128i w = _mm_set_epi32(j + 3, j + 2, j + 1, j);
const __m128i a2 = _mm_hadd_epi32(a0, a1);
const __m128i b2 = _mm_hadd_epi32(b0, b1);
const __m128i mul = _mm_mullo_epi32(_mm_add_epi32(a2, b2), w);
cost = _mm_add_epi32(mul, cost);
}
return HorizontalSum_SSE41(cost);
}
//------------------------------------------------------------------------------
// Subtract-Green Transform
@@ -44,46 +89,50 @@ static void SubtractGreenFromBlueAndRed_SSE41(uint32_t* argb_data,
//------------------------------------------------------------------------------
// Color Transform
#define SPAN 8
// For sign-extended multiplying constants, pre-shifted by 5:
#define CST_5b(X) (((int16_t)((uint16_t)(X) << 8)) >> 5)
#define MK_CST_16(HI, LO) \
_mm_set1_epi32((int)(((uint32_t)(HI) << 16) | ((LO) & 0xffff)))
static void CollectColorBlueTransforms_SSE41(const uint32_t* argb, int stride,
int tile_width, int tile_height,
int green_to_blue, int red_to_blue,
int histo[]) {
const __m128i mults_r = _mm_set1_epi16(CST_5b(red_to_blue));
const __m128i mults_g = _mm_set1_epi16(CST_5b(green_to_blue));
const __m128i mask_g = _mm_set1_epi16((short)0xff00); // green mask
const __m128i mask_gb = _mm_set1_epi32(0xffff); // green/blue mask
const __m128i mask_b = _mm_set1_epi16(0x00ff); // blue mask
const __m128i shuffler_lo = _mm_setr_epi8(-1, 2, -1, 6, -1, 10, -1, 14, -1,
-1, -1, -1, -1, -1, -1, -1);
const __m128i shuffler_hi = _mm_setr_epi8(-1, -1, -1, -1, -1, -1, -1, -1, -1,
2, -1, 6, -1, 10, -1, 14);
int y;
for (y = 0; y < tile_height; ++y) {
const uint32_t* const src = argb + y * stride;
int i, x;
for (x = 0; x + SPAN <= tile_width; x += SPAN) {
uint16_t values[SPAN];
const __m128i in0 = _mm_loadu_si128((__m128i*)&src[x + 0]);
const __m128i in1 = _mm_loadu_si128((__m128i*)&src[x + SPAN / 2]);
const __m128i r0 = _mm_shuffle_epi8(in0, shuffler_lo);
const __m128i r1 = _mm_shuffle_epi8(in1, shuffler_hi);
const __m128i r = _mm_or_si128(r0, r1); // r 0
const __m128i gb0 = _mm_and_si128(in0, mask_gb);
const __m128i gb1 = _mm_and_si128(in1, mask_gb);
const __m128i gb = _mm_packus_epi32(gb0, gb1); // g b
const __m128i g = _mm_and_si128(gb, mask_g); // g 0
const __m128i A = _mm_mulhi_epi16(r, mults_r); // x dbr
const __m128i B = _mm_mulhi_epi16(g, mults_g); // x dbg
const __m128i C = _mm_sub_epi8(gb, B); // x b'
const __m128i D = _mm_sub_epi8(C, A); // x b''
const __m128i E = _mm_and_si128(D, mask_b); // 0 b''
_mm_storeu_si128((__m128i*)values, E);
for (i = 0; i < SPAN; ++i) ++histo[values[i]];
const __m128i mult =
MK_CST_16(CST_5b(red_to_blue) + 256,CST_5b(green_to_blue));
const __m128i perm =
_mm_setr_epi8(-1, 1, -1, 2, -1, 5, -1, 6, -1, 9, -1, 10, -1, 13, -1, 14);
if (tile_width >= 4) {
int y;
for (y = 0; y < tile_height; ++y) {
const uint32_t* const src = argb + y * stride;
const __m128i A1 = _mm_loadu_si128((const __m128i*)src);
const __m128i B1 = _mm_shuffle_epi8(A1, perm);
const __m128i C1 = _mm_mulhi_epi16(B1, mult);
const __m128i D1 = _mm_sub_epi16(A1, C1);
__m128i E = _mm_add_epi16(_mm_srli_epi32(D1, 16), D1);
int x;
for (x = 4; x + 4 <= tile_width; x += 4) {
const __m128i A2 = _mm_loadu_si128((const __m128i*)(src + x));
__m128i B2, C2, D2;
++histo[_mm_extract_epi8(E, 0)];
B2 = _mm_shuffle_epi8(A2, perm);
++histo[_mm_extract_epi8(E, 4)];
C2 = _mm_mulhi_epi16(B2, mult);
++histo[_mm_extract_epi8(E, 8)];
D2 = _mm_sub_epi16(A2, C2);
++histo[_mm_extract_epi8(E, 12)];
E = _mm_add_epi16(_mm_srli_epi32(D2, 16), D2);
}
++histo[_mm_extract_epi8(E, 0)];
++histo[_mm_extract_epi8(E, 4)];
++histo[_mm_extract_epi8(E, 8)];
++histo[_mm_extract_epi8(E, 12)];
}
}
{
const int left_over = tile_width & (SPAN - 1);
const int left_over = tile_width & 3;
if (left_over > 0) {
VP8LCollectColorBlueTransforms_C(argb + tile_width - left_over, stride,
left_over, tile_height,
@@ -95,33 +144,37 @@ static void CollectColorBlueTransforms_SSE41(const uint32_t* argb, int stride,
static void CollectColorRedTransforms_SSE41(const uint32_t* argb, int stride,
int tile_width, int tile_height,
int green_to_red, int histo[]) {
const __m128i mults_g = _mm_set1_epi16(CST_5b(green_to_red));
const __m128i mask_g = _mm_set1_epi32(0x00ff00); // green mask
const __m128i mask = _mm_set1_epi16(0xff);
int y;
for (y = 0; y < tile_height; ++y) {
const uint32_t* const src = argb + y * stride;
int i, x;
for (x = 0; x + SPAN <= tile_width; x += SPAN) {
uint16_t values[SPAN];
const __m128i in0 = _mm_loadu_si128((__m128i*)&src[x + 0]);
const __m128i in1 = _mm_loadu_si128((__m128i*)&src[x + SPAN / 2]);
const __m128i g0 = _mm_and_si128(in0, mask_g); // 0 0 | g 0
const __m128i g1 = _mm_and_si128(in1, mask_g);
const __m128i g = _mm_packus_epi32(g0, g1); // g 0
const __m128i A0 = _mm_srli_epi32(in0, 16); // 0 0 | x r
const __m128i A1 = _mm_srli_epi32(in1, 16);
const __m128i A = _mm_packus_epi32(A0, A1); // x r
const __m128i B = _mm_mulhi_epi16(g, mults_g); // x dr
const __m128i C = _mm_sub_epi8(A, B); // x r'
const __m128i D = _mm_and_si128(C, mask); // 0 r'
_mm_storeu_si128((__m128i*)values, D);
for (i = 0; i < SPAN; ++i) ++histo[values[i]];
const __m128i mult = MK_CST_16(0, CST_5b(green_to_red));
const __m128i mask_g = _mm_set1_epi32(0x0000ff00);
if (tile_width >= 4) {
int y;
for (y = 0; y < tile_height; ++y) {
const uint32_t* const src = argb + y * stride;
const __m128i A1 = _mm_loadu_si128((const __m128i*)src);
const __m128i B1 = _mm_and_si128(A1, mask_g);
const __m128i C1 = _mm_madd_epi16(B1, mult);
__m128i D = _mm_sub_epi16(A1, C1);
int x;
for (x = 4; x + 4 <= tile_width; x += 4) {
const __m128i A2 = _mm_loadu_si128((const __m128i*)(src + x));
__m128i B2, C2;
++histo[_mm_extract_epi8(D, 2)];
B2 = _mm_and_si128(A2, mask_g);
++histo[_mm_extract_epi8(D, 6)];
C2 = _mm_madd_epi16(B2, mult);
++histo[_mm_extract_epi8(D, 10)];
++histo[_mm_extract_epi8(D, 14)];
D = _mm_sub_epi16(A2, C2);
}
++histo[_mm_extract_epi8(D, 2)];
++histo[_mm_extract_epi8(D, 6)];
++histo[_mm_extract_epi8(D, 10)];
++histo[_mm_extract_epi8(D, 14)];
}
}
{
const int left_over = tile_width & (SPAN - 1);
const int left_over = tile_width & 3;
if (left_over > 0) {
VP8LCollectColorRedTransforms_C(argb + tile_width - left_over, stride,
left_over, tile_height, green_to_red,
@@ -130,12 +183,16 @@ static void CollectColorRedTransforms_SSE41(const uint32_t* argb, int stride,
}
}
#undef MK_CST_16
//------------------------------------------------------------------------------
// Entry point
extern void VP8LEncDspInitSSE41(void);
WEBP_TSAN_IGNORE_FUNCTION void VP8LEncDspInitSSE41(void) {
VP8LExtraCost = ExtraCost_SSE41;
VP8LExtraCostCombined = ExtraCostCombined_SSE41;
VP8LSubtractGreenFromBlueAndRed = SubtractGreenFromBlueAndRed_SSE41;
VP8LCollectColorBlueTransforms = CollectColorBlueTransforms_SSE41;
VP8LCollectColorRedTransforms = CollectColorRedTransforms_SSE41;
+21 -16
View File
@@ -188,46 +188,51 @@ static WEBP_INLINE uint32_t Average4(uint32_t a0, uint32_t a1,
return Average2(Average2(a0, a1), Average2(a2, a3));
}
static uint32_t Predictor5_MIPSdspR2(uint32_t left, const uint32_t* const top) {
return Average3(left, top[0], top[1]);
static uint32_t Predictor5_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return Average3(*left, top[0], top[1]);
}
static uint32_t Predictor6_MIPSdspR2(uint32_t left, const uint32_t* const top) {
return Average2(left, top[-1]);
static uint32_t Predictor6_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return Average2(*left, top[-1]);
}
static uint32_t Predictor7_MIPSdspR2(uint32_t left, const uint32_t* const top) {
return Average2(left, top[0]);
static uint32_t Predictor7_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return Average2(*left, top[0]);
}
static uint32_t Predictor8_MIPSdspR2(uint32_t left, const uint32_t* const top) {
static uint32_t Predictor8_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
(void)left;
return Average2(top[-1], top[0]);
}
static uint32_t Predictor9_MIPSdspR2(uint32_t left, const uint32_t* const top) {
static uint32_t Predictor9_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
(void)left;
return Average2(top[0], top[1]);
}
static uint32_t Predictor10_MIPSdspR2(uint32_t left,
static uint32_t Predictor10_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return Average4(left, top[-1], top[0], top[1]);
return Average4(*left, top[-1], top[0], top[1]);
}
static uint32_t Predictor11_MIPSdspR2(uint32_t left,
static uint32_t Predictor11_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return Select(top[0], left, top[-1]);
return Select(top[0], *left, top[-1]);
}
static uint32_t Predictor12_MIPSdspR2(uint32_t left,
static uint32_t Predictor12_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return ClampedAddSubtractFull(left, top[0], top[-1]);
return ClampedAddSubtractFull(*left, top[0], top[-1]);
}
static uint32_t Predictor13_MIPSdspR2(uint32_t left,
static uint32_t Predictor13_MIPSdspR2(const uint32_t* const left,
const uint32_t* const top) {
return ClampedAddSubtractHalf(left, top[0], top[-1]);
return ClampedAddSubtractHalf(*left, top[0], top[-1]);
}
// Add green to blue and red channels (i.e. perform the inverse transform of
+13 -9
View File
@@ -188,17 +188,21 @@ static WEBP_INLINE uint32_t Average3_NEON(uint32_t a0, uint32_t a1,
return avg;
}
static uint32_t Predictor5_NEON(uint32_t left, const uint32_t* const top) {
return Average3_NEON(left, top[0], top[1]);
static uint32_t Predictor5_NEON(const uint32_t* const left,
const uint32_t* const top) {
return Average3_NEON(*left, top[0], top[1]);
}
static uint32_t Predictor6_NEON(uint32_t left, const uint32_t* const top) {
return Average2_NEON(left, top[-1]);
static uint32_t Predictor6_NEON(const uint32_t* const left,
const uint32_t* const top) {
return Average2_NEON(*left, top[-1]);
}
static uint32_t Predictor7_NEON(uint32_t left, const uint32_t* const top) {
return Average2_NEON(left, top[0]);
static uint32_t Predictor7_NEON(const uint32_t* const left,
const uint32_t* const top) {
return Average2_NEON(*left, top[0]);
}
static uint32_t Predictor13_NEON(uint32_t left, const uint32_t* const top) {
return ClampedAddSubtractHalf_NEON(left, top[0], top[-1]);
static uint32_t Predictor13_NEON(const uint32_t* const left,
const uint32_t* const top) {
return ClampedAddSubtractHalf_NEON(*left, top[0], top[-1]);
}
// Batch versions of those functions.
@@ -494,7 +498,7 @@ static void PredictorAdd13_NEON(const uint32_t* in, const uint32_t* upper,
// vtbl?_u8 are marked unavailable for iOS arm64 with Xcode < 6.3, use
// non-standard versions there.
#if defined(__APPLE__) && defined(__aarch64__) && \
#if defined(__APPLE__) && WEBP_AARCH64 && \
defined(__apple_build_version__) && (__apple_build_version__< 6020037)
#define USE_VTBLQ
#endif
+67 -63
View File
@@ -18,7 +18,6 @@
#include "src/dsp/common_sse2.h"
#include "src/dsp/lossless.h"
#include "src/dsp/lossless_common.h"
#include <assert.h>
#include <emmintrin.h>
//------------------------------------------------------------------------------
@@ -28,23 +27,22 @@ static WEBP_INLINE uint32_t ClampedAddSubtractFull_SSE2(uint32_t c0,
uint32_t c1,
uint32_t c2) {
const __m128i zero = _mm_setzero_si128();
const __m128i C0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(c0), zero);
const __m128i C1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(c1), zero);
const __m128i C2 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(c2), zero);
const __m128i C0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)c0), zero);
const __m128i C1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)c1), zero);
const __m128i C2 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)c2), zero);
const __m128i V1 = _mm_add_epi16(C0, C1);
const __m128i V2 = _mm_sub_epi16(V1, C2);
const __m128i b = _mm_packus_epi16(V2, V2);
const uint32_t output = _mm_cvtsi128_si32(b);
return output;
return (uint32_t)_mm_cvtsi128_si32(b);
}
static WEBP_INLINE uint32_t ClampedAddSubtractHalf_SSE2(uint32_t c0,
uint32_t c1,
uint32_t c2) {
const __m128i zero = _mm_setzero_si128();
const __m128i C0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(c0), zero);
const __m128i C1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(c1), zero);
const __m128i B0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(c2), zero);
const __m128i C0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)c0), zero);
const __m128i C1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)c1), zero);
const __m128i B0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)c2), zero);
const __m128i avg = _mm_add_epi16(C1, C0);
const __m128i A0 = _mm_srli_epi16(avg, 1);
const __m128i A1 = _mm_sub_epi16(A0, B0);
@@ -53,16 +51,15 @@ static WEBP_INLINE uint32_t ClampedAddSubtractHalf_SSE2(uint32_t c0,
const __m128i A3 = _mm_srai_epi16(A2, 1);
const __m128i A4 = _mm_add_epi16(A0, A3);
const __m128i A5 = _mm_packus_epi16(A4, A4);
const uint32_t output = _mm_cvtsi128_si32(A5);
return output;
return (uint32_t)_mm_cvtsi128_si32(A5);
}
static WEBP_INLINE uint32_t Select_SSE2(uint32_t a, uint32_t b, uint32_t c) {
int pa_minus_pb;
const __m128i zero = _mm_setzero_si128();
const __m128i A0 = _mm_cvtsi32_si128(a);
const __m128i B0 = _mm_cvtsi32_si128(b);
const __m128i C0 = _mm_cvtsi32_si128(c);
const __m128i A0 = _mm_cvtsi32_si128((int)a);
const __m128i B0 = _mm_cvtsi32_si128((int)b);
const __m128i C0 = _mm_cvtsi32_si128((int)c);
const __m128i AC0 = _mm_subs_epu8(A0, C0);
const __m128i CA0 = _mm_subs_epu8(C0, A0);
const __m128i BC0 = _mm_subs_epu8(B0, C0);
@@ -95,8 +92,8 @@ static WEBP_INLINE void Average2_uint32_SSE2(const uint32_t a0,
__m128i* const avg) {
// (a + b) >> 1 = ((a + b + 1) >> 1) - ((a ^ b) & 1)
const __m128i ones = _mm_set1_epi8(1);
const __m128i A0 = _mm_cvtsi32_si128(a0);
const __m128i A1 = _mm_cvtsi32_si128(a1);
const __m128i A0 = _mm_cvtsi32_si128((int)a0);
const __m128i A1 = _mm_cvtsi32_si128((int)a1);
const __m128i avg1 = _mm_avg_epu8(A0, A1);
const __m128i one = _mm_and_si128(_mm_xor_si128(A0, A1), ones);
*avg = _mm_sub_epi8(avg1, one);
@@ -104,8 +101,8 @@ static WEBP_INLINE void Average2_uint32_SSE2(const uint32_t a0,
static WEBP_INLINE __m128i Average2_uint32_16_SSE2(uint32_t a0, uint32_t a1) {
const __m128i zero = _mm_setzero_si128();
const __m128i A0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(a0), zero);
const __m128i A1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(a1), zero);
const __m128i A0 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)a0), zero);
const __m128i A1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)a1), zero);
const __m128i sum = _mm_add_epi16(A1, A0);
return _mm_srli_epi16(sum, 1);
}
@@ -113,19 +110,18 @@ static WEBP_INLINE __m128i Average2_uint32_16_SSE2(uint32_t a0, uint32_t a1) {
static WEBP_INLINE uint32_t Average2_SSE2(uint32_t a0, uint32_t a1) {
__m128i output;
Average2_uint32_SSE2(a0, a1, &output);
return _mm_cvtsi128_si32(output);
return (uint32_t)_mm_cvtsi128_si32(output);
}
static WEBP_INLINE uint32_t Average3_SSE2(uint32_t a0, uint32_t a1,
uint32_t a2) {
const __m128i zero = _mm_setzero_si128();
const __m128i avg1 = Average2_uint32_16_SSE2(a0, a2);
const __m128i A1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(a1), zero);
const __m128i A1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128((int)a1), zero);
const __m128i sum = _mm_add_epi16(avg1, A1);
const __m128i avg2 = _mm_srli_epi16(sum, 1);
const __m128i A2 = _mm_packus_epi16(avg2, avg2);
const uint32_t output = _mm_cvtsi128_si32(A2);
return output;
return (uint32_t)_mm_cvtsi128_si32(A2);
}
static WEBP_INLINE uint32_t Average4_SSE2(uint32_t a0, uint32_t a1,
@@ -135,46 +131,54 @@ static WEBP_INLINE uint32_t Average4_SSE2(uint32_t a0, uint32_t a1,
const __m128i sum = _mm_add_epi16(avg2, avg1);
const __m128i avg3 = _mm_srli_epi16(sum, 1);
const __m128i A0 = _mm_packus_epi16(avg3, avg3);
const uint32_t output = _mm_cvtsi128_si32(A0);
return output;
return (uint32_t)_mm_cvtsi128_si32(A0);
}
static uint32_t Predictor5_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average3_SSE2(left, top[0], top[1]);
static uint32_t Predictor5_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average3_SSE2(*left, top[0], top[1]);
return pred;
}
static uint32_t Predictor6_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average2_SSE2(left, top[-1]);
static uint32_t Predictor6_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2_SSE2(*left, top[-1]);
return pred;
}
static uint32_t Predictor7_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average2_SSE2(left, top[0]);
static uint32_t Predictor7_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2_SSE2(*left, top[0]);
return pred;
}
static uint32_t Predictor8_SSE2(uint32_t left, const uint32_t* const top) {
static uint32_t Predictor8_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2_SSE2(top[-1], top[0]);
(void)left;
return pred;
}
static uint32_t Predictor9_SSE2(uint32_t left, const uint32_t* const top) {
static uint32_t Predictor9_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average2_SSE2(top[0], top[1]);
(void)left;
return pred;
}
static uint32_t Predictor10_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Average4_SSE2(left, top[-1], top[0], top[1]);
static uint32_t Predictor10_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Average4_SSE2(*left, top[-1], top[0], top[1]);
return pred;
}
static uint32_t Predictor11_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = Select_SSE2(top[0], left, top[-1]);
static uint32_t Predictor11_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = Select_SSE2(top[0], *left, top[-1]);
return pred;
}
static uint32_t Predictor12_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractFull_SSE2(left, top[0], top[-1]);
static uint32_t Predictor12_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractFull_SSE2(*left, top[0], top[-1]);
return pred;
}
static uint32_t Predictor13_SSE2(uint32_t left, const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractHalf_SSE2(left, top[0], top[-1]);
static uint32_t Predictor13_SSE2(const uint32_t* const left,
const uint32_t* const top) {
const uint32_t pred = ClampedAddSubtractHalf_SSE2(*left, top[0], top[-1]);
return pred;
}
@@ -184,7 +188,7 @@ static uint32_t Predictor13_SSE2(uint32_t left, const uint32_t* const top) {
static void PredictorAdd0_SSE2(const uint32_t* in, const uint32_t* upper,
int num_pixels, uint32_t* out) {
int i;
const __m128i black = _mm_set1_epi32(ARGB_BLACK);
const __m128i black = _mm_set1_epi32((int)ARGB_BLACK);
for (i = 0; i + 4 <= num_pixels; i += 4) {
const __m128i src = _mm_loadu_si128((const __m128i*)&in[i]);
const __m128i res = _mm_add_epi8(src, black);
@@ -200,7 +204,7 @@ static void PredictorAdd0_SSE2(const uint32_t* in, const uint32_t* upper,
static void PredictorAdd1_SSE2(const uint32_t* in, const uint32_t* upper,
int num_pixels, uint32_t* out) {
int i;
__m128i prev = _mm_set1_epi32(out[-1]);
__m128i prev = _mm_set1_epi32((int)out[-1]);
for (i = 0; i + 4 <= num_pixels; i += 4) {
// a | b | c | d
const __m128i src = _mm_loadu_si128((const __m128i*)&in[i]);
@@ -277,12 +281,12 @@ GENERATE_PREDICTOR_2(9, upper[i + 1])
#undef GENERATE_PREDICTOR_2
// Predictor10: average of (average of (L,TL), average of (T, TR)).
#define DO_PRED10(OUT) do { \
__m128i avgLTL, avg; \
Average2_m128i(&L, &TL, &avgLTL); \
Average2_m128i(&avgTTR, &avgLTL, &avg); \
L = _mm_add_epi8(avg, src); \
out[i + (OUT)] = _mm_cvtsi128_si32(L); \
#define DO_PRED10(OUT) do { \
__m128i avgLTL, avg; \
Average2_m128i(&L, &TL, &avgLTL); \
Average2_m128i(&avgTTR, &avgLTL, &avg); \
L = _mm_add_epi8(avg, src); \
out[i + (OUT)] = (uint32_t)_mm_cvtsi128_si32(L); \
} while (0)
#define DO_PRED10_SHIFT do { \
@@ -295,7 +299,7 @@ GENERATE_PREDICTOR_2(9, upper[i + 1])
static void PredictorAdd10_SSE2(const uint32_t* in, const uint32_t* upper,
int num_pixels, uint32_t* out) {
int i;
__m128i L = _mm_cvtsi32_si128(out[-1]);
__m128i L = _mm_cvtsi32_si128((int)out[-1]);
for (i = 0; i + 4 <= num_pixels; i += 4) {
__m128i src = _mm_loadu_si128((const __m128i*)&in[i]);
__m128i TL = _mm_loadu_si128((const __m128i*)&upper[i - 1]);
@@ -328,7 +332,7 @@ static void PredictorAdd10_SSE2(const uint32_t* in, const uint32_t* upper,
const __m128i B = _mm_andnot_si128(mask, T); \
const __m128i pred = _mm_or_si128(A, B); /* pred = (pa > b)? L : T*/ \
L = _mm_add_epi8(src, pred); \
out[i + (OUT)] = _mm_cvtsi128_si32(L); \
out[i + (OUT)] = (uint32_t)_mm_cvtsi128_si32(L); \
} while (0)
#define DO_PRED11_SHIFT do { \
@@ -343,7 +347,7 @@ static void PredictorAdd11_SSE2(const uint32_t* in, const uint32_t* upper,
int num_pixels, uint32_t* out) {
int i;
__m128i pa;
__m128i L = _mm_cvtsi32_si128(out[-1]);
__m128i L = _mm_cvtsi32_si128((int)out[-1]);
for (i = 0; i + 4 <= num_pixels; i += 4) {
__m128i T = _mm_loadu_si128((const __m128i*)&upper[i]);
__m128i TL = _mm_loadu_si128((const __m128i*)&upper[i - 1]);
@@ -376,12 +380,12 @@ static void PredictorAdd11_SSE2(const uint32_t* in, const uint32_t* upper,
#undef DO_PRED11_SHIFT
// Predictor12: ClampedAddSubtractFull.
#define DO_PRED12(DIFF, LANE, OUT) do { \
const __m128i all = _mm_add_epi16(L, (DIFF)); \
const __m128i alls = _mm_packus_epi16(all, all); \
const __m128i res = _mm_add_epi8(src, alls); \
out[i + (OUT)] = _mm_cvtsi128_si32(res); \
L = _mm_unpacklo_epi8(res, zero); \
#define DO_PRED12(DIFF, LANE, OUT) do { \
const __m128i all = _mm_add_epi16(L, (DIFF)); \
const __m128i alls = _mm_packus_epi16(all, all); \
const __m128i res = _mm_add_epi8(src, alls); \
out[i + (OUT)] = (uint32_t)_mm_cvtsi128_si32(res); \
L = _mm_unpacklo_epi8(res, zero); \
} while (0)
#define DO_PRED12_SHIFT(DIFF, LANE) do { \
@@ -394,7 +398,7 @@ static void PredictorAdd12_SSE2(const uint32_t* in, const uint32_t* upper,
int num_pixels, uint32_t* out) {
int i;
const __m128i zero = _mm_setzero_si128();
const __m128i L8 = _mm_cvtsi32_si128(out[-1]);
const __m128i L8 = _mm_cvtsi32_si128((int)out[-1]);
__m128i L = _mm_unpacklo_epi8(L8, zero);
for (i = 0; i + 4 <= num_pixels; i += 4) {
// Load 4 pixels at a time.
@@ -460,7 +464,7 @@ static void TransformColorInverse_SSE2(const VP8LMultipliers* const m,
const __m128i mults_b2 = MK_CST_16(CST(red_to_blue_), 0);
#undef MK_CST_16
#undef CST
const __m128i mask_ag = _mm_set1_epi32(0xff00ff00); // alpha-green masks
const __m128i mask_ag = _mm_set1_epi32((int)0xff00ff00); // alpha-green masks
int i;
for (i = 0; i + 4 <= num_pixels; i += 4) {
const __m128i in = _mm_loadu_si128((const __m128i*)&src[i]); // argb
@@ -524,7 +528,7 @@ static void ConvertBGRAToRGB_SSE2(const uint32_t* src, int num_pixels,
static void ConvertBGRAToRGBA_SSE2(const uint32_t* src,
int num_pixels, uint8_t* dst) {
const __m128i red_blue_mask = _mm_set1_epi32(0x00ff00ffu);
const __m128i red_blue_mask = _mm_set1_epi32(0x00ff00ff);
const __m128i* in = (const __m128i*)src;
__m128i* out = (__m128i*)dst;
while (num_pixels >= 8) {
@@ -553,7 +557,7 @@ static void ConvertBGRAToRGBA_SSE2(const uint32_t* src,
static void ConvertBGRAToRGBA4444_SSE2(const uint32_t* src,
int num_pixels, uint8_t* dst) {
const __m128i mask_0x0f = _mm_set1_epi8(0x0f);
const __m128i mask_0xf0 = _mm_set1_epi8(0xf0);
const __m128i mask_0xf0 = _mm_set1_epi8((char)0xf0);
const __m128i* in = (const __m128i*)src;
__m128i* out = (__m128i*)dst;
while (num_pixels >= 8) {
@@ -588,8 +592,8 @@ static void ConvertBGRAToRGBA4444_SSE2(const uint32_t* src,
static void ConvertBGRAToRGB565_SSE2(const uint32_t* src,
int num_pixels, uint8_t* dst) {
const __m128i mask_0xe0 = _mm_set1_epi8(0xe0);
const __m128i mask_0xf8 = _mm_set1_epi8(0xf8);
const __m128i mask_0xe0 = _mm_set1_epi8((char)0xe0);
const __m128i mask_0xf8 = _mm_set1_epi8((char)0xf8);
const __m128i mask_0x07 = _mm_set1_epi8(0x07);
const __m128i* in = (const __m128i*)src;
__m128i* out = (__m128i*)dst;

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