Commit Graph

24915 Commits

Author SHA1 Message Date
Alexander Smorkalov
a102b24285 Added LUT for FP16 and accuracy test. 2024-06-19 16:16:11 +03:00
Alexander Smorkalov
e7108f48ab Extended bilateralFilter test to cover more branches. 2024-06-19 15:35:03 +03:00
Alexander Smorkalov
553c111c5a Fixed input buffer read overflow in vectorized G-API convertTo implementation. 2024-06-18 15:46:42 +03:00
Yuantao Feng
e3884a9ea8
Merge pull request #25771 from fengyuentau:vittrack_black_input
video: fix vittrack in the case where crop size grows until out-of-memory when the input is black #25771

Fixes https://github.com/opencv/opencv/issues/25760

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-18 12:48:28 +03:00
Letu Ren
b9d2ecb72f Remove unused brow variable 2024-06-17 18:50:53 +08:00
Dmitry Kurtaev
24907f35a3
Merge pull request #25757 from dkurt:d.kurtaev/opencv_js_tests_old_emsdk
Use onRuntimeInitialized with OpenCV.js Node tests #25757

### Pull Request Readiness Checklist

tests: https://github.com/opencv/ci-gha-workflow/pull/174

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-17 12:46:10 +03:00
Alexander Smorkalov
4bf95ac2df
Merge pull request #25602 from asmorkalov:as/gstreamer_alpha_channel
Handle BGRA streams in GStreamer backend
2024-06-16 18:18:03 +03:00
Alexander Smorkalov
0a12c7d9de
Merge pull request #25725 from asmorkalov:as/intersectConvexConvex_fix
Fixed result buffer overflow in intersectConvexConvex_ for non-convex input
2024-06-16 17:07:01 +03:00
Rostislav Vasilikhin
7ff531b8ab
Merge pull request #25759 from savuor:rv/equalizeHist_tests
Accuracy tests for equalizeHist() added #25759

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-15 12:44:36 +03:00
Alexander Lyulkov
759fc701ab Fixed cumsum layer, enablem conformance tests 2024-06-14 13:02:57 +03:00
Alexander Smorkalov
88c6c7d9f7 Handle BGRA sterams in GStreamer backend 2024-06-11 12:21:05 +03:00
Dmitry Kurtaev
a03b813167
Merge pull request #25732 from dkurt:opencv_js_tests_update
Fix OpenCV.js tests #25732

### Pull Request Readiness Checklist

* Firefox tests passed

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-11 12:01:51 +03:00
Alexander Smorkalov
8e9307074c
Merge pull request #25738 from rlexmann:imgproc_fix_divSpectrums
Fix arithmetics in CV_32F branch of divSpectrums()
2024-06-11 11:16:23 +03:00
Alexander Smorkalov
2629688d11
Merge pull request #25706 from cudawarped:fix_cuda_first_python_dep
`cuda`: Add missing python CUDA dependency when CUDA is a first class language
2024-06-11 10:49:14 +03:00
Alexander Smorkalov
6623c62f56 Fixed result buffer overflow in intersectConvexConvex_ for non-convex input. 2024-06-10 19:38:35 +03:00
Robert Lexmann
e1dba2c6d2 Perform arithmetics in CV_32F branch of divSpectrums() with doubles to prevent infs/NaNs (+ corresponding test). 2024-06-10 15:47:29 +02:00
Abduragim Shtanchaev
a2d2ea6536
Merge pull request #25727 from Abdurrahheem:ash/comf-denylist-reduce
Additional Comments for Conformance Denylist #25727

This PR adds additional comments on conformance denylist. Once  BOOL type got support in 5.x, some test layer changed their failing issue.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2024-06-10 13:51:47 +03:00
Pierre Chatelier
bdf986ee51
Merge pull request #25726 from chacha21:remap_relative_doc
Relates to #24603

### Pull Request Readiness Checklist

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

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-06-10 11:09:25 +03:00
Maxim Smolskiy
cc6f85e1ba
Merge pull request #25427 from MaximSmolskiy:make-finding-corner-neighbor-symmetrical-in-ChessBoardDetector-findQuadNeighbors
Make finding corner neighbor symmetrical in ChessBoardDetector::findQuadNeighbors #25427

### Pull Request Readiness Checklist

The basic idea of finding pair of corners neighbors is to find best candidate for first corner and check if first corner quite good candidate for its best candidate. And we test first corner for its best candidate less than best candidate for first corner.

Idea of changes is to make finding corner neighbor symmetrical - find best candidate for first corner, find best candidate for second corner and match them as pair iff they are both best candidates for each other.

Additional advantage - it simplifies code and removes some code duplication.

I tested this PR with benchmark
```
python3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard
```

There are minor changes in results
```
cell_img_size = 100 (default)

before

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             1.000000                        360               360                           0.630345
                    _none_none_gaussNoise             0.833333                        300               360                           0.623405
                          _none_none_none             1.000000                        360               360                           0.631517
                    _none_none_strongBlur             1.000000                        360               360                           0.630316
                   _none_undistorted_blur             1.000000                        360               360                           0.671232
             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619
                   _none_undistorted_none             1.000000                        360               360                           0.673669
             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257
                   _perspective_none_blur             1.000000                       1080              1080                           0.588694
             _perspective_none_gaussNoise             0.805556                        870              1080                           0.599312
                   _perspective_none_none             1.000000                       1080              1080                           0.591063
             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604
            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081
      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625704
            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191
      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618
             _strongPerspective_none_blur             1.000000                        360               360                           0.482934
       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551
             _strongPerspective_none_none             1.000000                        360               360                           0.480290
       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080
      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458
_strongPerspective_undistorted_gaussNoise             0.250000                         90               360                           0.448713
      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412
_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791
                                      all             0.904167                      13020             14400                           0.600512
Total detected time:  139.65614900000008 sec

after

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             1.000000                        360               360                           0.630345
                    _none_none_gaussNoise             0.750000                        270               360                           0.636279
                          _none_none_none             1.000000                        360               360                           0.631517
                    _none_none_strongBlur             1.000000                        360               360                           0.630316
                   _none_undistorted_blur             1.000000                        360               360                           0.671232
             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619
                   _none_undistorted_none             1.000000                        360               360                           0.673669
             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257
                   _perspective_none_blur             1.000000                       1080              1080                           0.588694
             _perspective_none_gaussNoise             0.888889                        960              1080                           0.594106
                   _perspective_none_none             1.000000                       1080              1080                           0.591064
             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604
            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081
      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625703
            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191
      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618
             _strongPerspective_none_blur             1.000000                        360               360                           0.482934
       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551
             _strongPerspective_none_none             1.000000                        360               360                           0.480290
       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080
      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458
_strongPerspective_undistorted_gaussNoise             0.333333                        120               360                           0.422259
      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412
_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791
                                      all             0.910417                      13110             14400                           0.599746
Total detected time:  142.40333700000005 sec

----------------------------------------------------------------------------------------------------------------------------------------------

cell_img_size = 10

before

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             0.991667                        357               360                           4.905091
                    _none_none_gaussNoise             0.750000                        270               360                           5.215633
                          _none_none_none             1.000000                        360               360                           4.943304
                    _none_none_strongBlur             0.916667                        330               360                           3.806217
                   _none_undistorted_blur             0.994444                        358               360                           5.220915
             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443
                   _none_undistorted_none             0.997222                        359               360                           4.340208
             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331
                   _perspective_none_blur             0.629630                        680              1080                           4.825401
             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425
                   _perspective_none_none             0.971296                       1049              1080                           3.920378
             _perspective_none_strongBlur             0.000000                          0              1080                                NaN
            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335
      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195
            _perspective_undistorted_none             0.750000                        810              1080                           3.604110
      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN
             _strongPerspective_none_blur             0.000000                          0               360                                NaN
       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN
             _strongPerspective_none_none             0.083333                         30               360                           2.382460
       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN
_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN
_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN
                                      all             0.539792                       7773             14400                           4.209964
Total detected time:  2.6968930000000015 sec

after

                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                          _none_none_blur             0.991667                        357               360                           4.905091
                    _none_none_gaussNoise             0.750000                        270               360                           5.215633
                          _none_none_none             1.000000                        360               360                           4.943304
                    _none_none_strongBlur             0.916667                        330               360                           3.806217
                   _none_undistorted_blur             0.994444                        358               360                           5.220915
             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443
                   _none_undistorted_none             0.997222                        359               360                           4.340208
             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331
                   _perspective_none_blur             0.629630                        680              1080                           4.825401
             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425
                   _perspective_none_none             0.999074                       1079              1080                           3.865684
             _perspective_none_strongBlur             0.000000                          0              1080                                NaN
            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335
      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195
            _perspective_undistorted_none             0.750000                        810              1080                           3.604110
      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN
             _strongPerspective_none_blur             0.000000                          0               360                                NaN
       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN
             _strongPerspective_none_none             0.000000                          0               360                                NaN
       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN
_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN
      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN
_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN
                                      all             0.539792                       7773             14400                           4.208308
Total detected time:  2.7706419999999983 sec
```

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-10 09:42:56 +03:00
Alexander Smorkalov
3282954c2e
Merge pull request #25723 from mshabunin:fix-ts-rng
test: use cv::theRNG instead of own generator
2024-06-07 20:41:11 +03:00
Dmitry Kurtaev
3700f9e1e9
Merge pull request #25709 from dkurt:wrap_addLayer
* Wrap dnn addLayer
* Add typing stubs
2024-06-07 20:39:44 +03:00
Maksim Shabunin
ef3303716e test: use cv::theRNG instead of own generator 2024-06-07 13:36:11 +03:00
Alexander Smorkalov
bef5a87680
Merge pull request #25722 from AleksandrPanov:update_testSeveralBoardsWithCustomIds
updated testSeveralBoardsWithCustomIds to enable in 5.x
2024-06-06 20:01:33 +03:00
Alexander Panov
cbc08514fd updated testSeveralBoardsWithCustomIds to enable in 5.x 2024-06-06 14:22:58 +03:00
Alexander Smorkalov
cbf3b1187d
Merge pull request #25720 from VadimLevin:dev/vlevin/floodFill-optional-mask
fix: mark floodFill mask as optional in Python typing stubs
2024-06-06 13:36:00 +03:00
alexlyulkov
70df023317
Merge pull request #25605 from alexlyulkov:al/bool-dnn
Added bool support to dnn #25605

Added bool support to dnn pipeline (CPU, OpenVINO and CUDA pipelines).

Added bool support to these layers(CPU and OpenVINO):
- Equal, Greater, GreaterOrEqual, Less, LessOrEqual
- Not
- And, Or, Xor
- Where

Enabled all the conformance tests for these layers.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is 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
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- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-06 12:52:06 +03:00
Alexander Smorkalov
0d1ed49d2a
Merge pull request #25703 from mshabunin:fix-imread-arg
imgproc: fixed imread with output image argument
2024-06-06 12:50:30 +03:00
Vadim Levin
5dd7b5f0e5 fix: mark floodFill mask as optional in Python typing stubs 2024-06-06 11:51:10 +03:00
Alexander Lyulkov
99f32f17b4 Added potential fix for Android H264 Encoding Bug 2024-06-05 19:17:49 +03:00
Maksim Shabunin
b77c74b6fc imgproc: fixed imread with output image argument, minor refactoring, fixes in HDR 2024-06-04 19:52:22 +03:00
cudawarped
9c05b27ba0 cuda: Add missing python CUDA dependency when CUDA is a first class language 2024-06-04 18:58:09 +03:00
Alexander Smorkalov
92b588f30b
Merge pull request #25702 from asmorkalov:as/gapi_disable_steaming_again
Disable more G-API streaming test due to unstability.
2024-06-04 13:01:21 +03:00
Alexander Smorkalov
2bb8b2b173 Disable more G-API streaming test due to unstability. 2024-06-04 11:07:22 +03:00
Patrick Keane
3f26664e8d ISSUE-25700 update cv::FaceRecognizerSF class documentation 2024-06-03 17:29:41 -04:00
Alexander Alekhin
337c183b9d Merge tag '4.10.0' 2024-06-02 18:24:06 +00:00
Alexander Smorkalov
71d3237a09 Release 4.10.0 2024-06-02 14:41:07 +03:00
Rostislav Vasilikhin
a7e53aa184
Merge pull request #25671 from savuor:rv/arithm_extend_tests
Tests added for mixed type arithmetic operations #25671

### Changes
* added accuracy tests for mixed type arithmetic operations
    _Note: div-by-zero values are removed from checking since the result is implementation-defined in common case_
* added perf tests for the same cases
* fixed a typo in `getMulExtTab()` function that lead to dead code

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-02 14:28:06 +03:00
Kumataro
1bd5ca1ebe
Merge pull request #25686 from Kumataro:fix25674
Suppress build warnings for GCC14 #25686

Close #25674

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-02 14:14:04 +03:00
Vincent Rabaud
1db6a8a1f3
Merge pull request #25665 from vrabaud:jacobian
Fix Homography computation. #25665

The bug was introduced in https://github.com/opencv/opencv/pull/25308

I am sorry I do not have a proper test.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-31 20:51:58 +03:00
CNOCycle
98b8825031
Merge pull request #25613 from CNOCycle:tflite/ops
Support Global_Pool_2D ops in .tflite model #25613

### Pull Request Readiness Checklist

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1180

This PR adds support for `GlobalAveragePooling2D` and `GlobalMaxPool2D` on the TFlite backend. When the k`eep_dims` option is enabled, the output is a 2D tensor, necessitating the inclusion of an additional flatten layer. Additionally, the names of these layers have been updated to match the output tensor names generated by `generate.py` from the opencv_extra repository.

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2024-05-31 19:31:21 +03:00
Maksim Shabunin
29f91a08d5
Merge pull request #25680 from mshabunin:fix-approx-2
Reverted contour approximation behavior #25680

Related issue #25663 - revert new function behavior despite it returning different result than the old one (reverts PR  #25672).
Also added Coverity issue fix.
2024-05-31 19:28:03 +03:00
Alexander Smorkalov
08107957d8
Merge pull request #25682 from fengyuentau:calib3d/lapack_fix_calib3d
calib3d: fix data type for ilp64 lapack
2024-05-31 19:24:26 +03:00
fengyuentau
ca035e6dae fix type for ilp64 api 2024-05-31 22:47:57 +08:00
Alexander Panov
472eba324a
Merge pull request #25673 from AleksandrPanov:fix_charuco_board_markers
fixed marker generation in charuco board #25673

When generating  Charuco board markers in `generateImage()`, a problem occurs as in https://github.com/opencv/opencv/issues/24806, https://github.com/opencv/opencv/pull/24873:

In low resolution:
![charucoImg_before_fix2](https://github.com/opencv/opencv/assets/22337800/aab7b443-2d2a-4287-b869-708ac5976ea5)
In medium resolution:
![charucoImg_before_fix](https://github.com/opencv/opencv/assets/22337800/8c21ae42-d9c8-4cb5-9fcc-7814dfc07b80)

This PR fixed this problems:
![charucoImg_after_fix2](https://github.com/opencv/opencv/assets/22337800/93256dbb-8544-46eb-be78-844234e42ca9)
![charucoImg_after_fix](https://github.com/opencv/opencv/assets/22337800/f4d6794e-bee9-4ce4-8f9b-67a40800cbe5)

The test checks the inner and outer borders of the Aruco markers. In the outer border of Aruco marker, all pixels should be white. In the inner border of Aruco marker, all pixels should be black.
![image](https://github.com/opencv/opencv/assets/22337800/010a9c64-e03c-4239-9ac9-2cda9170793b)


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2024-05-31 17:03:24 +03:00
Ujjayant Kadian
dcce2b8b24
Merge pull request #25662 from ujjayant-kadian:uk/port-gapi-onnxrt-backend-into-v2-api
Port G-API ONNXRT backend into V2 API #25662

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2024-05-31 17:01:46 +03:00
Abduragim Shtanchaev
d7f04a9d33
Merge pull request #25660 from Abdurrahheem:ash/fix-slice-empty-input
Slice layer parser fix to support empty input case #25660

This PR fixes Slice Layer's parser to handle empty input cases (cases with initializer)
It fixed the issue rased in #24838

### Pull Request Readiness Checklist

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2024-05-31 13:13:36 +03:00
Alexander Smorkalov
9ed1d6730f Fixed offset computation for ND case in MinMaxIdx HAL. 2024-05-31 10:09:34 +03:00
Alexander Smorkalov
3e3ee106fb
Merge pull request #25658 from asmorkalov:as/variadic_tuple
Added branch with variadic version of Trust tuple
2024-05-30 15:47:31 +03:00
Maksim Shabunin
8709115d9a imgproc: fix contour approximation, added test 2024-05-30 12:23:15 +03:00
Alexander Smorkalov
1668203a1c Added branch with variadic version of Trust tuple 2024-05-28 11:31:13 +03:00
Danial Javady
05e48605a0
Merge pull request #25412 from ZelboK:update-cudnn-to-9
Refactor DNN module to build with cudnn 9 #25412

A lot of APIs that are currently being used in the dnn module have been removed in cudnn 9. They were deprecated in 8. 
This PR updates said code accordingly to the newer API.

Some key notes:
1) This is my first PR. I am new to openCV. 
2) `opencv_test_core` tests pass
3) On a 3080, cuda 12.4(should be irrelevant since I didn't build the `opencv_modules`, gcc 11.4, WSL 2. 
4) For brevity I will avoid including macro code that will allow for older versions of cudnn to build.

I was unable to get the tests working for `opencv_test_dnn` and `opencv_perf_dnn`. The errors I get are of the following: 
```
 OpenCV tests: Can't find required data file: dnn/onnx/conformance/node/test_reduce_prod_default_axes_keepdims_example/model.onnx in function 'findData'
" thrown in the test body.
```
So before I spend more time investigating I was hoping to get a maintainer to point me in the right direction here. I would like to run these tests and confirm things are working as intended. I may have missed some details.


### Pull Request Readiness Checklist

relevant issue
(https://github.com/opencv/opencv/issues/24983

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2024-05-28 09:54:08 +03:00
Kumataro
b6593517c4
Merge pull request #25647 from Kumataro:fix25646
imgcodecs: support IMWRITE_JPEG_LUMA/CHROMA_QUALITY with internal libjpeg-turbo #25647

Close #25646

- increase JPEG_LIB_VERSION for internal libjpeg-turbo from 62 to 70
- add log when using IMWRITE_JPEG_LUMA/CHROMA_QUALITY with JPEG_LIB_VERSION<70
- add document IMWRITE_JPEG_LUMA/CHROMA_QUALITY requests JPEG_LIB_VERSION >= 70

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2024-05-27 17:33:43 +03:00
Alexander Smorkalov
c5976f7865
Merge pull request #25641 from vrabaud:lsh
Prevent signed integer overflow in LshTable
2024-05-27 15:55:07 +03:00
Rostislav Vasilikhin
1fa96b161f
Merge pull request #25616 from savuor:rv/yuv_docs
YUV codes for cvtColor: descriptions added #25616

This PR contains descriptions for various RGB <-> YUV color conversion codes as well as detailed comments in the source code.

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2024-05-25 13:12:03 +03:00
John Stechschulte
7b31cc7314
Merge pull request #24897 from JStech:fix-handeye
Fix handeye #24897

Fixes to the hand-eye calibration methods, from #24871.

The Tsai method is sensitive to poses separated by small rotations, so I filter those out.

The Horaud and Daniilidis methods use quaternions (and dual quaternions), where $q$ and $-q$ represent the same transform.
However, these methods depend on the gripper motion and camera motion having the same sign for the real part.
The fix was simply to multiply the (dual) quaternions by -1 if their real part is negative.

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- [ ] ~~The feature is well documented and sample code can be built with the project CMake~~ N/A
2024-05-25 11:28:13 +03:00
Rostislav Vasilikhin
cc49aee04e
Merge pull request #25634 from savuor:rv/boxfilter_tests
Tests for cvSmooth -> tests for boxFilter #25634

fixes #25448

### Motivation
The obsolete function `cvSmooth` has two modes in which it calls `cv::boxFilter()` inside with and without normalization.
This function is covered by tests exactly for that modes.
This means that by replacing `cvSmooth` call by `cv::boxFilter()` we will leave the coverage untouched (but more obvious) and remove that obsolete function from tests.

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2024-05-25 11:25:50 +03:00
Rostislav Vasilikhin
b267f1791c
Merge pull request #25633 from savuor:rv/rotate_tests
Tests for cv::rotate() added #25633

fixes #25449

### Pull Request Readiness Checklist

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2024-05-25 11:23:31 +03:00
Vincent Rabaud
7e3f6875c1 Prevent signed integer overflow in LshTable
This change keeps everything as size_t and the expression is valid
because maxk_block > 0 in hte loop.
2024-05-24 23:47:36 +02:00
Alexander Smorkalov
ba28b7d6df
Merge pull request #25636 from FantasqueX:use-left-arrow-1
Use leftarrow in color conversion Doc
2024-05-24 20:49:57 +03:00
Alexander Smorkalov
28c3000f62
Merge pull request #25629 from arobase-che:fix-opencv.js-compilation-memory-init-file
Fix the compilation of OpenCV.js by deleting the option --memory-init-file of em++
2024-05-24 10:28:16 +03:00
Letu Ren
6bee2facf3 Use leftarrow in color conversion Doc 2024-05-24 14:56:50 +08:00
Alexander Alekhin
f1aef892bf Merge pull request #25619 from opencv-pushbot:gitee/alalek/update_ffmpeg_4.x 2024-05-23 16:54:30 +00:00
Alexander Smorkalov
de3eb0ec5f
Merge pull request #25626 from asmorkalov:as/HAL_lut_size
Fixed width and height order in HAL call for LUT
2024-05-23 17:52:43 +03:00
ache
f8ad6eb71b
Delete option --memory-init-file of em++ 2024-05-23 10:59:09 +02:00
Vincent Rabaud
500207785a Disambiguate cv::format
Otherwise, this test does not compile with C++20, which includes
std::format.
2024-05-23 10:41:03 +02:00
Alexander Smorkalov
f85014534f Fixed width and height order in HAL call for LUT. 2024-05-23 10:30:33 +03:00
lackhole
28d029c158 Replace non-ascii character 2024-05-22 20:01:54 +09:00
Alexander Alekhin
5696413bbc ffmpeg/4.x: update FFmpeg wrapper 2024.05 2024-05-22 08:53:39 +00:00
Abduragim Shtanchaev
1f874028fb fixed for openvino einsum 2024-05-22 10:30:10 +04:00
Alexander Smorkalov
8393885a39
Merge pull request #25615 from asmorkalov:update_version_4.10.0-pre
pre: OpenCV 4.10.0 (version++)
2024-05-21 16:58:41 +03:00
Yuantao Feng
49f80cb3c4
Merge pull request #24804 from fengyuentau:fix_lapack_warnings
core: try to solve warnings caused by Apple's new LAPACK interface #24804

Resolves https://github.com/opencv/opencv/issues/24660

Apple's BLAS documentation: https://developer.apple.com/documentation/accelerate/blas?language=objc

New interface since macOS >= 13.3, iOS >= 16.4.

Todo:

- [x] Detect macOS version.
- [x] ~Detect iOS versions (major and minor version).~ No calling of Accelerate New LAPACK on iOS.
- [x] Solve calling `cblas_cgemm` and `cblas_zgemm`.

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2024-05-21 16:58:16 +03:00
HAN Liutong
e52540162f
Merge pull request #25586 from hanliutong:rvv-64f
Fix v_round and enable unit tests for scalable universal intrinsic 64F type. #25586

This may be a legacy issue from the previous PR #24325. I don't quite remember why the float 64 part of the unit test was not enabled at that time.

Whatever, this patch enables the unit tests for scalable 64F type , and makes the necessary modifications to the RVV backend to make the tests pass.

This patch is compiled by GCC 14 and LLVM 17 &18, and tested on QEMU and k230.

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2024-05-21 14:10:19 +03:00
Abduragim Shtanchaev
6feb765ebb
Merge pull request #25116 from Abdurrahheem:ash/elementwise-1d-test
Element-wise test for 1D #25116

This PR introduces 1D parametrized test for element wise layer. The means that the tests covers following layer: 

`Clip`, `ReLU6`, `ReLU`,
                        `GeLU`, `GeluApprox`, `TanH`,
                        `Swish`, `Mish`, `Sigmoid`,
                        `ELULayer`, `Abs`, `BNLL`,
                        `Ceil`, `Floor`, `LogLayer`,
                        `Round`, `Sqrt`, `Acos`,
                        `Acosh`, `Asin`, `Asinh`,
                        `Atan`, `Atanh`, `Cos`,
                        `Sin`, `Sinh`, `Tan`, `Erf`,
                        `Reciprocal`, `Cosh`, `HardSwish`,
                        `Softplus`, `Softsign`, `Celu`,
                        `HardSigmid`, `Selu`, `ThresholdedRelu`,
                        `Power`, `Exp`, `Sign`, `Shrink`,
                        `ChannelsPReLU`

Not sure if this is best way to implement this test.

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2024-05-21 14:05:01 +03:00
Abduragim Shtanchaev
f676cb3c62
Merge pull request #25595 from Abdurrahheem:ash/01D-einsum-test
Add support for scalar and matrix multiplication in einsum #25595

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2024-05-21 13:36:12 +03:00
Alexander Smorkalov
0b39a51be8 pre: OpenCV 4.10.0 (version++). 2024-05-21 11:37:05 +03:00
Rostislav Vasilikhin
d95ff3ac04 HAL for sub8x32f added 2024-05-20 10:48:56 +03:00
Rostislav Vasilikhin
69af621ef6
Merge pull request #25506 from savuor:rv/hal_mul16
HAL mul8x8to16 added #25506

Fixes #25034

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2024-05-20 10:43:18 +03:00
Rostislav Vasilikhin
83e32c4d37
Merge pull request #25511 from savuor:rv/hal_projectpoints
HAL for projectPoints() added #25511

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2024-05-20 10:42:17 +03:00
Cristian Dobre
e05ad56f6e
Merge pull request #24903 from cristidbr-adapta:feature-barcode-detector-parameters
Feature barcode detector parameters #24903

Attempt to solve #24902 without changing the default detector behaviour. 
Megre with extra: https://github.com/opencv/opencv_extra/pull/1150

**Introduces new parameters and methods to `cv::barcode::BarcodeDetector`**.

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2024-05-20 09:53:22 +03:00
Maksim Shabunin
6350bfbf79
Merge pull request #25564 from mshabunin:cleanup-imgproc-2
imgproc: C-API cleanup, drawContours refactor #25564

Changes:
* moved several macros from types_c.h to cvdef.h (assuming we will continue using them)
* removed some cases of C-API usage in _imgproc_ module (`CV_TERMCRIT_*` and `CV_CMP_*`)
* refactored `drawContours` to use C++ API instead of calling `cvDrawContours` + test for filled contours with holes (case with non-filled contours is simpler and is covered in some other tests)

#### Note:
There is one case where old drawContours behavior doesn't match the new one - when `contourIdx == -1` (means "draw all contours") and `maxLevel == 0` (means draw only selected contours, but not what is inside).

From the docs:
> **contourIdx**	Parameter indicating a contour to draw. If it is negative, all the contours are drawn.

> **maxLevel**	Maximal level for drawn contours. If it is 0, only the specified contour is drawn. If it is 1, the function draws the contour(s) and all the nested contours. If it is 2, the function draws the contours, all the nested contours, all the nested-to-nested contours, and so on. This parameter is only taken into account when there is hierarchy available.


Old behavior - only one first contour is drawn:
![actual_screenshot_08 05 2024](https://github.com/opencv/opencv/assets/3304494/d0ae1d64-ddad-46bb-8acc-6f696874f71b)
a
New behavior (also expected by the test) - all contours are drawn:
![expected_screenshot_08 05 2024](https://github.com/opencv/opencv/assets/3304494/57ccd980-9dde-4006-90ee-19d6ce76912a)
2024-05-17 15:01:05 +03:00
Alexander Smorkalov
8aa129dce1
Merge pull request #25603 from asmorkalov:as/skip_vulkan_concat
Skip Test_Caffe_layers.Concat with Vulkan due to sporadic failures
2024-05-17 12:55:51 +03:00
Alexander Smorkalov
5f509e2ec1 Skip Test_Caffe_layers.Concat with Vulkan due to sporadic failures. 2024-05-17 11:54:25 +03:00
Alexander Smorkalov
5e7887897a
Merge pull request #25525 from sturkmen72:png-spng-test
improvements on tests of imagecodecs module
2024-05-17 11:37:12 +03:00
Yuantao Feng
bc0618b688
Merge pull request #25582 from fengyuentau:dnn/dump_pbtxt
Current net exporter `dump` and `dumpToFile` exports the network structure (and its params) to a .dot file which works with `graphviz`. This is hard to use and not friendly to new user. What's worse, the produced picture is not looking pretty.
dnn: better net exporter that works with netron #25582

This PR introduces new exporter `dumpToPbtxt` and uses this new exporter by default with environment variable `OPENCV_DNN_NETWORK_DUMP`. It mimics the string output of a onnx model but modified with dnn-specific changes, see below for an example.

![image](https://github.com/opencv/opencv/assets/17219438/0644bed1-da71-4019-8466-88390698e4df)

## Usage

Call `cv::dnn::Net::dumpToPbtxt`:

```cpp
TEST(DumpNet, dumpToPbtxt) {
    std::string path = "/path/to/model.onnx";
    auto net = readNet(path);

    Mat input(std::vector<int>{1, 3, 640, 480}, CV_32F);
    net.setInput(input);

    net.dumpToPbtxt("yunet.pbtxt");
}
```

Set `export OPENCV_DNN_NETWORK_DUMP=1`

```cpp
TEST(DumpNet, env) {
    std::string path = "/path/to/model.onnx";
    auto net = readNet(path);

    Mat input(std::vector<int>{1, 3, 640, 480}, CV_32F);
    net.setInput(input);

    net.forward();
}
```

---

Note:
- `pbtxt` is registered as one of the ONNX model suffix in netron. So you can see `module: ai.onnx` and such in the model.
- We can get the string output of an ONNX model with the following script

```python
import onnx
net = onnx.load("/path/to/model.onnx")
net_str = str(net)
file = open("/path/to/model.pbtxt", "w")
file.write(net_str)
file.close()
```

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2024-05-17 11:07:05 +03:00
Alexander Smorkalov
0044047782
Merge pull request #25598 from asmorkalov:as/tables_range_check_core
Check range for type-dependant function tables #25598

Address https://github.com/opencv/opencv/issues/24703

### Pull Request Readiness Checklist

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2024-05-17 10:48:40 +03:00
alexlyulkov
9238eb2ab2
Merge pull request #25555 from alexlyulkov:al/int8-uint8-dnn-input
Disabled conversion to float of model's input #25555

In dnn 4.x usually any model's input is converted to float32 or float16 (except quantized models). Also mean and scale can be applied. In current dnn 5.x there is the same conversion except int32 and int64 types. I removed this conversion.

Here is how the pipeline works now:
- if input Mat type is float32, the pipeline applies mean and scale and may convert it to float16.
- if input Mat type is not float32, the pipeline preserves the input type and doesn't apply mean and scale

There was a conflict in protobuf parser between ONNX importer and tests. In ONNX importer any uint8 weight was handled as quantized weight and x = int8(x_uint8 - 128) conversion was used inside the protobuf parser. ONNX conformance tests used the same protobuf reader, so tests with uint8 inputs couldn't read the input values properly. I've made this conversion optional.

These ONNX conformance tests are enabled:
- test_add_uint8
- test_div_uint8
- test_mul_uint8
- test_sub_uint8
- test_max_int8
- test_max_uint8
- test_min_int8
- test_min_uint8
- test_mod_mixed_sign_int8
- test_mod_uint8

These tests were removed:
- Test_two_inputs.basic (when input is uint8)
- setInput.normalization (when input is uint8)

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2024-05-16 15:54:00 +03:00
Alexander Smorkalov
78ed6de518
Merge pull request #25594 from LaurentBerger:I25587
typo
2024-05-16 08:46:56 +03:00
Suleyman TURKMEN
7d6b6161cc Update imgcodecs tests 2024-05-15 22:24:21 +03:00
CNOCycle
7713c84465
Merge pull request #25297 from CNOCycle:tflite/transpose
Support Transpose op in TFlite #25297

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1168

The purpose of this PR is to introduce support for the Transpose op in TFlite format and to add a shape comparison between the output tensors and the references. In some occasional cases, the shape of the output tensor is `[1,4,1,1]`, while the shape of the reference tensor is `[1,4]`. Consequently, the norm check incorrectly reports that the test has passed, as the residual is zero.

Below is a Python script for generating testing data. The generated data can be integrated into the repo `opencv_extra`.

```python
import numpy as np
import tensorflow as tf

PREFIX_TFL = '/path/to/opencv_extra/testdata/dnn/tflite/'

def generator(input_tensor, model, saved_name):

    # convert keras model to .tflite format
    converter = tf.lite.TFLiteConverter.from_keras_model(model)
    #converter.optimizations = [tf.lite.Optimize.DEFAULT]
    converter.optimizations = [None]
    tflite_model = converter.convert()
    with open(f'{PREFIX_TFL}/{saved_name}.tflite', 'wb') as f:
        f.write(tflite_model)

    # save the input tensor to .npy
    if input_tensor.ndim == 4:
        opencv_tensor = np.transpose(input_tensor, (0,3,1,2))
    else:
        opencv_tensor = input_tensor
    opencv_tensor = np.copy(opencv_tensor, order='C').astype(np.float32)
    np.save(f'{PREFIX_TFL}/{saved_name}_inp.npy', opencv_tensor)

    # generate output tenosr and save it to .npy
    mat_out = model(input_tensor).numpy()
    mat_out = np.copy(mat_out, order='C').astype(np.float32)
    if mat_out.ndim == 4:
        mat_out = np.transpose(mat_out, (0,3,1,2))
    interpreter = tf.lite.Interpreter(model_content=tflite_model)
    out_name = interpreter.get_output_details()[0]['name']
    np.save(f'{PREFIX_TFL}/{saved_name}_out_{out_name}.npy', mat_out)

def build_transpose():

    model_name = "keras_permute"
    mat_in = np.array([[[1,2,3], [4,5,6]]], dtype=np.float32)

    model = tf.keras.Sequential()
    model.add(tf.keras.Input(shape=(2,3)))
    model.add(tf.keras.layers.Permute((2,1)))
    model.summary()

    generator(mat_in, model, model_name)

if __name__ == '__main__':
    build_transpose()
```

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2024-05-15 20:07:25 +03:00
unknown
5009109167 typo 2024-05-15 16:16:07 +02:00
Laurent Berger
76d9f7aaeb
Merge pull request #25591 from LaurentBerger:I25589
Remove dnn::layer::allocate in doc #25591

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2024-05-15 17:08:52 +03:00
Alexander Smorkalov
c034c46e69 Disable more streaming test in G-API due to instability. 2024-05-15 15:41:23 +03:00
Alexander Smorkalov
2e07ec1f87 Restored and extended Highgui test logic for small windows. 2024-05-15 12:47:22 +03:00
alexlyulkov
6af0394cd2
Merge pull request #25458 from alexlyulkov:al/dnn-openvino-int-support
Added int support for OpenVINO dnn backend #25458

Modified dnn OpenVINO integration to support type inference and int operations.

Added OpenVINO support to Cast, CumSum, Expand, Gather, GatherElements, Scatter, ScatterND, Tile layers.
I tried to add Reduce layer, but looks like OpenVINO uses float values inside Reduce operation so it can't pass our int tests.

OpenVINO uses int32 precision for int64 operations, so I've modified input values for int64 tests when backend is OpenVINO.

OpenVINO has a strange behavior with custom layers and int64 values. After model compilation OpenVINO may change types, so the model can have different output type. That's why these tests were disabled:
- Test_ArgMax_Int.random/0, where GetParam() = (4, NGRAPH/CPU)
- Test_ArgMax_Int.random/6, where GetParam() = (11, NGRAPH/CPU)
- Test_Reduce_Int.random/6, where GetParam() = (11, NGRAPH/CPU)
- Test_Reduce_Int.two_axes/6, where GetParam() = (11, NGRAPH/CPU)

Also these tests were temporary disabled, they didn't work on both 4.x and 5.x branches:
- Test_Caffe_layers.layer_prelu_fc/0, where GetParam() = NGRAPH/CPU
- Test_ONNX_layers.LSTM_Activations/0, where GetParam() = NGRAPH/CPU
- Test_ONNX_layers.Quantized_Convolution/0, where GetParam() = NGRAPH/CPU
- Test_ONNX_layers.Quantized_Eltwise_Scalar/0, where GetParam() = NGRAPH/CPU
- Test_TFLite.EfficientDet_int8/0, where GetParam() = NGRAPH/CPU


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2024-05-15 11:51:59 +03:00
Kumataro
47a6ffb73c
Merge pull request #25561 from Kumataro:fix25560
highgui: wayland: expand image width if title bar cannot be shown

Close #25560

### Pull Request Readiness Checklist

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2024-05-15 11:00:46 +03:00
Abduragim Shtanchaev
5bdc41964a
Merge pull request #25487 from Abdurrahheem:ash/01D-additional-fixes
Additional fixes to 0/1D tests #25487

This has additional fixes requited for 0/1D tests.

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2024-05-15 10:50:03 +03:00
Abduragim Shtanchaev
5260b48695
Merge pull request #25390 from Abdurrahheem:ash/0d-padding-layer
1/0D test padding layer #25390

This PR introduces 0/1D test for `padding` layer.

### Pull Request Readiness Checklist

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2024-05-15 10:26:26 +03:00
Abduragim Shtanchaev
17e6b3f931
Merge pull request #25409 from Abdurrahheem:ash/0D-tile-test
0/1D test for tile layer #25409

This PR introduces `0/1D` test for `Tile` layer. It also add fuctionality to support `0/1D` cases.  


### Pull Request Readiness Checklist

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2024-05-14 19:34:04 +03:00
alexlyulkov
03507e06b4
Merge pull request #25518 from alexlyulkov:al/fixed-gemm-openvino
Fixed OpenVINO gemm layer #25518

Fixed OpenVINO gemm layer
The problem was that our layer didn't properly handle all the possible gemm options in OpenVINO mode
Fixes #25472

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2024-05-14 17:41:19 +03:00
Alexander Smorkalov
f4e5438401
Merge pull request #25566 from asmorkalov:as/moments_documentation
Synchornized cv::moments documentation with actual implementation.
2024-05-14 17:19:41 +03:00
Alexander Smorkalov
58e007e183
Merge pull request #25583 from mshabunin:fix-emd-32bit
imgproc: fix allocation issue in EMD
2024-05-14 16:43:02 +03:00
Abduragim Shtanchaev
021e5184bc
Merge pull request #25567 from Abdurrahheem:ash/01D-einsum-test
0/1D Einsum Layer Test #25567

This PR introduces 0/1D test cases for Einsum layer.

TODO:
- Add support for 0D tensors to Einsum layer

### Pull Request Readiness Checklist

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2024-05-14 15:45:56 +03:00
Maksim Shabunin
1614b8df4e imgproc: fix allocation issue in EMD 2024-05-14 12:51:26 +03:00
Kumataro
8dc9ff5624
Merge pull request #25551 from Kumataro:fix25550
highgui: wayland: fix to pass highgui test #25551

Close #25550

- optimize Mat to XRGB8888 conversion with OpenCV functions
  - extend to support CV_8S/16U/16S/32F/64F
  - extend to support 1/4 channels
- fix to update value timing
 - initilize slider_ value if value is not nullptr.
 - Update user-ptr value and call on_change() function if cv_wl_trackbar::draw() is not called.
- Update usage of WAYLAND/XDG macro to avoid reference undefined macro.
- Update documents

### Pull Request Readiness Checklist

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2024-05-13 14:26:24 +03:00
Rostislav Vasilikhin
1d9a4120fa
Merge pull request #25565 from savuor:rv/hal_eq_hist
Merge pull request #25565 from savuor/rv/hal_eq_hist

HAL for equalizeHist() added #25565

fixes #25530

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2024-05-09 08:37:55 +03:00
Alexander Smorkalov
55eebe81c3 Synchornized cv::moments documentation with actual implementation. 2024-05-09 08:30:36 +03:00
Alexander Smorkalov
1f1ba7e402
Merge pull request #25563 from asmorkalov:as/HAL_min_max_idx
Transform offset to indeces for MatND in minMaxIdx HAL #25563

Address comments in https://github.com/opencv/opencv/pull/25553

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2024-05-08 18:57:02 +03:00
Rostislav Vasilikhin
5bd64e09a3
Merge pull request #25554 from savuor:rv/hal_lut
Merge pull request #25554 from savuor:rv/hal_lut

HAL for LUT added #25554

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2024-05-08 17:45:08 +03:00
Wanli
b637e3a66e
Merge pull request #25463 from WanliZhong:ocvface2YuNet
Change opencv_face_detector related tests and samples from caffe to onnx #25463

Part of https://github.com/opencv/opencv/issues/25314

This PR aims to change the tests related to opencv_face_detector from caffe framework to onnx. Tests in `test_int8_layer.cpp` and `test_caffe_importer.cpp` will be removed in https://github.com/opencv/opencv/pull/25323

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2024-05-08 15:49:10 +03:00
Yuantao Feng
4422bc9a7f
Merge pull request #25196 from fengyuentau:fp16_bf16_arithm
core: add universal intrinsics for fp16 #25196

Partially resolves the section "Universal intrinsics evolution in OpenCV 5.0" in  https://github.com/opencv/opencv/issues/25019.

Universal intrinsics for bf16 will be added in a subsequent pull request.

### Pull Request Readiness Checklist

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2024-05-08 15:23:19 +03:00
Alexander Smorkalov
faa259ab34
Merge pull request #25553 from asmorkalov:as/HAL_min_max_idx
Fix HAL interface for hal_ni_minMaxIdx #25553

Fixes https://github.com/opencv/opencv/issues/25540

The original implementation call HAL with the same parameters independently from amount of channels. The patch uses HAL correctly for the case cn > 1.

### Pull Request Readiness Checklist

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2024-05-07 20:46:17 +03:00
Alexander Smorkalov
392fd4edd1 Tune sanity threshold in Moments performance test for Android aarch64. 2024-05-07 18:24:43 +03:00
Alexander Smorkalov
ba65d2eb0d
Merge pull request #25549 from mshabunin:fix-cap-images-noise
videoio: decreased log level for failed backends in capture and writer open
2024-05-07 09:01:50 +03:00
Alexander Smorkalov
8bc90a4bff
Merge pull request #25484 from mshabunin:bounding-rect-alignment
imgproc: improved test for boundingRect
2024-05-07 08:58:07 +03:00
Maksim Shabunin
7127161426 videoio: decreased log level for failed backends in VideoCapture and VideoWriter open 2024-05-06 20:48:17 +03:00
Wanli
d231b4e362
Merge pull request #25503 from WanliZhong:remove_goturn
Remove goturn caffe model #25503

**Merged with:** https://github.com/opencv/opencv_extra/pull/1174
**Merged with:** https://github.com/opencv/opencv_contrib/pull/3729

Part of https://github.com/opencv/opencv/issues/25314

This PR aims to remove goturn tracking model because Caffe importer will be remove in 5.0

The GOTURN model will take **388 MB** of traffic for each download if converted to onnx. If the user wants to use the tracking method, we can recommend they use Vit or dasimRPN.

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2024-05-06 11:57:30 +03:00
Alexander Smorkalov
26a5730f0d
Merge pull request #25542 from mshabunin:fix-disable-diagram
doc: disable inheritance graphs
2024-05-06 11:08:18 +03:00
Alexander Smorkalov
a4486c0e20
Merge pull request #25541 from mshabunin:fix-numpy2x-test
python: adapt test to NumPy 2.x
2024-05-06 08:39:00 +03:00
Alexander Smorkalov
70d333d336
Merge pull request #25483 from asmorkalov:as/HAL_meanStdDev
HAL API for meanStdDev
2024-05-06 08:19:43 +03:00
Maksim Shabunin
a8df49f170 doc: fixed modern Javadoc issue 2024-05-03 22:09:19 +03:00
Maksim Shabunin
c4ce94232b imgproc: fixed alignment issue and improved test for boundingRect 2024-05-03 21:26:40 +03:00
Maksim Shabunin
af4531b378 python: adapt test to NumPy 2.x 2024-05-03 20:10:41 +03:00
Alexander Smorkalov
b94cb5bc68 HAL interface for meanStdDev. 2024-05-03 16:36:43 +03:00
Alexander Smorkalov
d8e18f4576 Made fcn-resnet50-12.onnx model optional. 2024-05-03 16:14:22 +03:00
Alexander Smorkalov
ac9a858377
Merge pull request #25524 from alexlyulkov:al/openvino-layers
Added more OpenVINO layers to dnn
2024-05-03 13:16:56 +03:00
Alexander Smorkalov
6e5a53c37a
Merge pull request #25532 from asmorkalov:as/HAL_moments_bug
Fix moments integration to OpenCV HAL
2024-05-03 12:34:51 +03:00
Alexander Smorkalov
d9555dbdd1
Merge pull request #25535 from asmorkalov:as/convertfp16_imgcodecs
Got rid of deprecated convertFp16 in imgcodecs module.
2024-05-03 12:33:36 +03:00
Alexander Smorkalov
c539cfd31a
Merge pull request #25435 from WanliZhong:fcn2onnx
change fcn8s-heavy-pascal tests from caffe to onnx
2024-05-03 11:13:13 +03:00
Alexander Smorkalov
9fe5615f2f Got rid of deprecated convertFp16 in imgcodecs module. 2024-05-03 11:05:08 +03:00
Alexander Smorkalov
02c3132f02 Fix moments integration to OpenCV HAL. 2024-05-03 08:40:43 +03:00
Alexander Smorkalov
7ea4364c63
Merge pull request #25528 from asmorkalov:as/python_hdr_parser_fix
Fixed SyntaxWarning: invalid escape sequence '\w' in header parser.
2024-05-03 08:01:14 +03:00
Rostislav Vasilikhin
bc95f27e56
Merge pull request #25509 from savuor:rv/hal_otsu
HAL added for Otsu threshold #25509

fixes #25393

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-02 20:50:08 +03:00
Alexander Smorkalov
5aaa570fef Fixed SyntaxWarning: invalid escape sequence '\w' in header parser. 2024-05-02 20:38:23 +03:00
Wanli
ed47cce1c5 change fcn8s-heavy-pascal tests from caffe to onnx 2024-05-03 00:15:09 +08:00
Alexander Smorkalov
ce642e994d
Merge pull request #25510 from Kumataro:fix25497
highgui: wayland: support imshow() without pre-calling namedWindow()
2024-05-02 14:41:14 +03:00
Kumataro
1c9efbd4be
Merge pull request #25523 from Kumataro:fix25522
videoio: obsensor: remove OB_EXT_CMD10 to suppress warning #25523

Close #25522

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
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2024-05-02 14:40:27 +03:00
Alexander Lyulkov
f3f29fa62c Added more OpenVINO layers to dnn 2024-05-02 14:37:40 +03:00
Alexander Smorkalov
b5cf4f1483
Merge pull request #25514 from xndcn:patch-1
Fix doc about uniform parameter for imgproc calcBackProject function
2024-05-01 21:03:00 +03:00
Alexander Smorkalov
1f6f092a9d
Merge pull request #25513 from zihaomu:fix_25498
fix statckblur big kernel case
2024-05-01 10:06:44 +03:00
zihaomu
22de887c00 fix statckblur big kernel case 2024-04-30 18:07:21 +08:00
xndcn
e3fc850ec2
Fix doc about uniform parameter for imgproc calcBackProject function
It is said "see above" because calcBackProject is listed under calcHist function in source file, while it is listed before due to the lexicographic ordering.
2024-04-30 16:58:51 +08:00
Alexander Smorkalov
cbf71c380f
Merge pull request #25502 from Kumataro:fix25501
highgui: wayland: reduce cpu usage for cv::waitKey()
2024-04-30 11:45:03 +03:00
Kumataro
716826cccd highgui: wayland: support imshow() without pre-calling namedWindow() 2024-04-30 10:01:51 +09:00
Kumataro
2a2ff55257
Merge pull request #25496 from Kumataro:fix25495
highgui: wayland: show "NO" status if dependency is missing #25496

Close #25495

- [doc] Add document to enable Wayland highgui-backend in ubuntu 24.04.
- [build] Show "NO" status instead of version if dependency library is missing.
- [build] Fix to find Wayland EGL.
- [fix] Add some callback stub functions to suppress build warning.

### Pull Request Readiness Checklist

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

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-04-29 18:58:29 +03:00
Dmitry Kurtaev
b1e01970ef
Merge pull request #25308 from dkurt:not_normalized_findHomography
Not-normalized output from findHomography #25308

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/25133
resolves https://github.com/opencv/opencv/issues/4834
resolves https://github.com/opencv/opencv/issues/22166
resolves https://github.com/opencv/opencv/issues/18592

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-29 14:35:14 +03:00
Kumataro
6682270b4c highgui: wayland: reduce cpu usage for cv::waitKey() 2024-04-28 19:21:32 +09:00
Rostislav Vasilikhin
12e2cc9502
Merge pull request #25491 from savuor:rv/hal_norm_hamming
HAL for Hamming norm added #25491

fixes #25474

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-27 14:38:44 +03:00
WU Jia
94f4678d3a
Merge pull request #25324 from kaingwade:clean_haarcascades_jsbindings
Fix broken js build after moving HaarCascades to contrib #25324

The HaarCascades related are not completely cleaned up #25311 after #25198, which breaks the JavaScript build. The PR is to fix the issue.

Related PR: opencv/opencv_contrib#3712
2024-04-27 14:37:40 +03:00
Rostislav Vasilikhin
357b9abaef
Merge pull request #25450 from savuor:rv/svd_perf
Perf tests for SVD and solve() created #25450

fixes #25336

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-27 14:33:13 +03:00
alexlyulkov
72ad06bcf3
Merge pull request #25492 from alexlyulkov:al/range-fixed-5.x
Fixed ONNX Range layer to support any input type #25492

Fixed ONNX Range layer to support any input type

Extra PR: https://github.com/opencv/opencv_extra/pull/1173
Fixes #25363

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-26 18:59:43 +03:00