Commit Graph

24836 Commits

Author SHA1 Message Date
Alexander Smorkalov
07ec6cb2c2 Added lut support for all new types in 5.x 2024-07-02 14:44:55 +03:00
Alexander Smorkalov
3abd9f2a28 Merge branch 4.x 2024-07-01 15:59:43 +03:00
Alexander Smorkalov
34ed88d7fb
Merge pull request #25836 from dan-masek:fix_win32_topmost_toggle
Fix #25833: The correct way to disable top-most state is with HWND_NOTOPMOST, not HWND_TOP.
2024-07-01 10:30:23 +03:00
Mikhail Khachayants
bbf65a166e Fix file descriptor leak in HDR decoder 2024-06-30 18:43:04 +03:00
Dan Mašek
1e5407a9ba Fix #25833: The correct way to disable top-most state is with HWND_NOTOPMOST, not HWND_TOP. 2024-06-29 21:39:49 +02:00
Alexander Smorkalov
be00247ca0
Merge pull request #25820 from asmorkalov:as/HAL_non_strict_equalizeHist
Relax equalizeHist test for some HAL implementations
2024-06-28 16:51:15 +03:00
Alexander Smorkalov
310169490a Exclude cap_ios.h from installation where it's not needed. 2024-06-28 14:11:25 +03:00
alexlyulkov
12b8ed1443
Merge pull request #25755 from alexlyulkov:al/more-types
Added more types support to dnn layers #25755

Added support of more types to dnn layers for CPU, CUDA and OpenVINO backends.
Now most of the multi-type layers support uint8, int8, int32, int64, float32, float16, bool types.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-28 09:02:15 +03:00
Alexander Smorkalov
284a79446a
Merge pull request #25816 from FantasqueX:remove-unused-brow-1
Remove unused brow variable
2024-06-28 08:56:37 +03:00
Alexander Smorkalov
ee2b0f9d63 Relax equalizeHist test for some HAL implementations. 2024-06-27 19:14:30 +03:00
Alexander Smorkalov
445022682e
Merge pull request #25789 from asmorkalov:as/HAL_meanStdDev_tails
Fill mean and stdDev tails with zeros for HAL branch in meanStdDev #25789

as it's done for other branches.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-27 19:11:05 +03:00
alexlyulkov
fd7cb1be85
Merge pull request #25739 from alexlyulkov:al/openvino2022-fixed-blank
Fixed blank layer for OpenVINO 2022.1 #25739

Changed blank layer because it didn't work with old OpenVINO versions(2022.1). The blank layer was implemented using ConvertLike layer, now it is implemented using ShapeOf and Reshape 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
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-27 18:51:35 +03:00
Alexander Smorkalov
719b49ffa9
Merge pull request #25764 from alexlyulkov:al/cumsum-fix
Fixed cumsum layer, enabled conformance tests
2024-06-27 18:50:15 +03:00
Alexander Smorkalov
204d62ae12
Merge pull request #25815 from FantasqueX:remove-unused-variable-1
Remove unused variables in rgb2hsv_b simd
2024-06-27 12:58:51 +03:00
Maksim Shabunin
26ea34c4cb Merge branch '4.x' into '5.x' 2024-06-26 19:01:34 +03:00
kozinove
efa4d9176a
Merge pull request #25661 from itlab-vision:framebuffer
Highgui backend on top of Framebuffer #25661

### Pull Request Readiness Checklist

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

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

Environment variables used:
OPENCV_UI_BACKEND - you need to add the value “FB”
OPENCV_UI_PRIORITY_FB - requires priority indication
OPENCV_HIGHGUI_FB_MODE={FB|XVFB|EMU} - mode of using Framebuffer (default "FB")
- FB - Linux Framebuffer
- XVFB - virtual Framebuffer
- EMU - emulation (images are not displayed)
OPENCV_HIGHGUI_FB_DEVICE (FRAMEBUFFER) - path to the Framebuffer file (default "/dev/fb0").

Examples of using:

sudo OPENCV_UI_BACKEND=FB ./opencv_test_highgui
sudo OPENCV_UI_PRIORITY_FB=1111 ./opencv_test_highgui
OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=EMU ./opencv_test_highgui
sudo OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=FB ./opencv_test_highgui

export DISPLAY=:99
Xvfb $DISPLAY -screen 0 1024x768x24 -fbdir /tmp/ -f /tmp/user.xvfb.auth&
sudo -u sipeed XAUTHORITY=/tmp/user.xvfb.auth x11vnc -display $DISPLAY -listen localhost&
DISPLAY=:0 gvncviewer localhost&

FRAMEBUFFER=/tmp/Xvfb_screen0 OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=XVFB ./opencv_test_highgui
2024-06-26 15:31:19 +03:00
Letu Ren
2179186a51 Remove unused variables in rgb2hsv_b simd 2024-06-26 19:07:53 +08:00
Yuantao Feng
3f13ce797b
Merge pull request #25779 from fengyuentau:dnn/fix_onnx_depthtospace
dnn: add DepthToSpace and SpaceToDepth #25779

We are working on updating WeChat QRCode module. One of the new models is a fully convolutional model and hence it should be able to run with different input shapes. However,  it has an operator `DepthToSpace`, which is parsed as a subgraph of `Reshape -> Permute -> Reshape` with a fixed shape getting during parsing. The subgraph itself is not a problem, but the true problem is the subgraph with a fixed input and output shape regardless input changes. This does not allow the model to run with different input shapes.

Solution is to add a dedicated layer for DepthtoSpace and SpaceToDepth.

Backend support:

- [x] CPU
- [x] CUDA
- [x] OpenCL
- [x] OpenVINO
- [x] CANN
- [x] TIMVX
-  ~Vulkan~ (missing fundamental tools, like permutation and reshape)

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-21 19:28:22 +03:00
Ujjayant Kadian
5dc1b39e4c
Merge pull request #25791 from ujjayant-kadian:uk/extend-gapi-onnx-params-arbitrary-session-options
Extending G-API onnx::Params to pass arbitrary session options #25791

### Pull Request Readiness Checklist

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
2024-06-21 14:34:26 +03:00
Simon Kämpe
7ef42d7706
Merge pull request #25751 from simonkampe:fix-eigen-rowmajor
Add missing cv2eigen overload #25751

Fixes #16606

Add overloads to cv2eigen to handle eigen matrices of type
Eigen::Matrix<Tp_, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-20 20:05:06 +03:00
Alexander Smorkalov
57984e689b
Merge pull request #25788 from asmorkalov:as/bilateralFilter_test
Extended bilateralFilter test to cover more branches
2024-06-20 10:27:15 +03:00
Alexander Smorkalov
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.
- [x] The feature is well documented and sample code can be built with the project CMake
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.
- [x] The feature is well documented and sample code can be built with the project CMake
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.
- [x] The feature is well documented and sample code can be built with the project CMake
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
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-06-10 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.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-06-10 11:09:25 +03:00
Maxim Smolskiy
cc6f85e1ba
Merge pull request #25427 from MaximSmolskiy:make-finding-corner-neighbor-symmetrical-in-ChessBoardDetector-findQuadNeighbors
Make finding corner neighbor symmetrical in ChessBoardDetector::findQuadNeighbors #25427

### Pull Request Readiness Checklist

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

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

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

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

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

before

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

after

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

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

cell_img_size = 10

before

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

after

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

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

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