{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":5108051,"defaultBranch":"4.x","name":"opencv","ownerLogin":"opencv","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2012-07-19T09:40:17.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/5009934?v=4","public":true,"private":false,"isOrgOwned":true},"refInfo":{"name":"","listCacheKey":"v0:1717345238.0","currentOid":""},"activityList":{"items":[{"before":"bdf986ee519b01b0f451d1a3e71866d5027c0a47","after":"3ea7ed9ebf926d53e2813ce2bde585b208aae167","ref":"refs/heads/4.x","pushedAt":"2024-06-11T07:12:38.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"asmorkalov","name":"Alexander Smorkalov","path":"/asmorkalov","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/2536374?s=80&v=4"},"commit":{"message":"Merge pull request #25718 from savuor:rv/hwasan_flag\n\nAndroid SDK build script: HWAsan support added #25718\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [x] The feature is well documented and sample code can be built with the project CMake","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2337193819\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25718\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25718/hovercard\" href=\"https://github.com/opencv/opencv/pull/25718\">#25718</a> from savuor:rv/hwasan_flag"}},{"before":"70df0233170a66347dd8c13190cab98b0e08fef5","after":"a2d2ea6536df143ca118abc0fbe095e7dadbebd2","ref":"refs/heads/next","pushedAt":"2024-06-10T10:55:03.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"opencv-alalek","name":"Alexander Alekhin","path":"/opencv-alalek","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/128253464?s=80&v=4"},"commit":{"message":"Merge pull request #25727 from Abdurrahheem:ash/comf-denylist-reduce\n\nAdditional Comments for Conformance Denylist #25727\r\n\r\nThis PR adds additional comments on conformance denylist. Once  BOOL type got support in 5.x, some test layer changed their failing issue.\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [x] There is a reference to the original bug report and related work\r\n- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [x] The feature is well documented and sample code can be built with the project CMake","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2340276946\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25727\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25727/hovercard\" href=\"https://github.com/opencv/opencv/pull/25727\">#25727</a> from Abdurrahheem:ash/comf-denylist-reduce"}},{"before":"70df0233170a66347dd8c13190cab98b0e08fef5","after":"a2d2ea6536df143ca118abc0fbe095e7dadbebd2","ref":"refs/heads/5.x","pushedAt":"2024-06-10T10:51:47.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"asmorkalov","name":"Alexander Smorkalov","path":"/asmorkalov","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/2536374?s=80&v=4"},"commit":{"message":"Merge pull request #25727 from Abdurrahheem:ash/comf-denylist-reduce\n\nAdditional Comments for Conformance Denylist #25727\r\n\r\nThis PR adds additional comments on conformance denylist. Once  BOOL type got support in 5.x, some test layer changed their failing issue.\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [x] There is a reference to the original bug report and related work\r\n- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [x] The feature is well documented and sample code can be built with the project CMake","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2340276946\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25727\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25727/hovercard\" href=\"https://github.com/opencv/opencv/pull/25727\">#25727</a> from Abdurrahheem:ash/comf-denylist-reduce"}},{"before":"cc6f85e1bab6942acf107e4cacf813347f0552c1","after":"bdf986ee519b01b0f451d1a3e71866d5027c0a47","ref":"refs/heads/master","pushedAt":"2024-06-10T08:10:03.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"opencv-alalek","name":"Alexander Alekhin","path":"/opencv-alalek","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/128253464?s=80&v=4"},"commit":{"message":"Merge pull request #25726 from chacha21:remap_relative_doc\n\nRelates to #24603\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [X] I agree to contribute to the project under Apache 2 License.\r\n- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [X] The PR is proposed to the proper branch\r\n- [X] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2340116585\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25726\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25726/hovercard\" href=\"https://github.com/opencv/opencv/pull/25726\">#25726</a> from chacha21:remap_relative_doc"}},{"before":"cc6f85e1bab6942acf107e4cacf813347f0552c1","after":"bdf986ee519b01b0f451d1a3e71866d5027c0a47","ref":"refs/heads/4.x","pushedAt":"2024-06-10T08:09:25.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"asmorkalov","name":"Alexander Smorkalov","path":"/asmorkalov","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/2536374?s=80&v=4"},"commit":{"message":"Merge pull request #25726 from chacha21:remap_relative_doc\n\nRelates to #24603\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [X] I agree to contribute to the project under Apache 2 License.\r\n- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [X] The PR is proposed to the proper branch\r\n- [X] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2340116585\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25726\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25726/hovercard\" href=\"https://github.com/opencv/opencv/pull/25726\">#25726</a> from chacha21:remap_relative_doc"}},{"before":"3282954c2ea8d5873b8d50aff09d7b4a43a64c38","after":"cc6f85e1bab6942acf107e4cacf813347f0552c1","ref":"refs/heads/master","pushedAt":"2024-06-10T06:45:04.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"opencv-alalek","name":"Alexander Alekhin","path":"/opencv-alalek","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/128253464?s=80&v=4"},"commit":{"message":"Merge pull request #25427 from MaximSmolskiy:make-finding-corner-neighbor-symmetrical-in-ChessBoardDetector-findQuadNeighbors\n\nMake finding corner neighbor symmetrical in ChessBoardDetector::findQuadNeighbors #25427\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nThe 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.\r\n\r\nIdea 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.\r\n\r\nAdditional advantage - it simplifies code and removes some code duplication.\r\n\r\nI tested this PR with benchmark\r\n```\r\npython3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard\r\n```\r\n\r\nThere are minor changes in results\r\n```\r\ncell_img_size = 100 (default)\r\n\r\nbefore\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             1.000000                        360               360                           0.630345\r\n                    _none_none_gaussNoise             0.833333                        300               360                           0.623405\r\n                          _none_none_none             1.000000                        360               360                           0.631517\r\n                    _none_none_strongBlur             1.000000                        360               360                           0.630316\r\n                   _none_undistorted_blur             1.000000                        360               360                           0.671232\r\n             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619\r\n                   _none_undistorted_none             1.000000                        360               360                           0.673669\r\n             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257\r\n                   _perspective_none_blur             1.000000                       1080              1080                           0.588694\r\n             _perspective_none_gaussNoise             0.805556                        870              1080                           0.599312\r\n                   _perspective_none_none             1.000000                       1080              1080                           0.591063\r\n             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604\r\n            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081\r\n      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625704\r\n            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191\r\n      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618\r\n             _strongPerspective_none_blur             1.000000                        360               360                           0.482934\r\n       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551\r\n             _strongPerspective_none_none             1.000000                        360               360                           0.480290\r\n       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080\r\n      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458\r\n_strongPerspective_undistorted_gaussNoise             0.250000                         90               360                           0.448713\r\n      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412\r\n_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791\r\n                                      all             0.904167                      13020             14400                           0.600512\r\nTotal detected time:  139.65614900000008 sec\r\n\r\nafter\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             1.000000                        360               360                           0.630345\r\n                    _none_none_gaussNoise             0.750000                        270               360                           0.636279\r\n                          _none_none_none             1.000000                        360               360                           0.631517\r\n                    _none_none_strongBlur             1.000000                        360               360                           0.630316\r\n                   _none_undistorted_blur             1.000000                        360               360                           0.671232\r\n             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619\r\n                   _none_undistorted_none             1.000000                        360               360                           0.673669\r\n             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257\r\n                   _perspective_none_blur             1.000000                       1080              1080                           0.588694\r\n             _perspective_none_gaussNoise             0.888889                        960              1080                           0.594106\r\n                   _perspective_none_none             1.000000                       1080              1080                           0.591064\r\n             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604\r\n            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081\r\n      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625703\r\n            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191\r\n      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618\r\n             _strongPerspective_none_blur             1.000000                        360               360                           0.482934\r\n       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551\r\n             _strongPerspective_none_none             1.000000                        360               360                           0.480290\r\n       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080\r\n      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458\r\n_strongPerspective_undistorted_gaussNoise             0.333333                        120               360                           0.422259\r\n      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412\r\n_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791\r\n                                      all             0.910417                      13110             14400                           0.599746\r\nTotal detected time:  142.40333700000005 sec\r\n\r\n----------------------------------------------------------------------------------------------------------------------------------------------\r\n\r\ncell_img_size = 10\r\n\r\nbefore\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             0.991667                        357               360                           4.905091\r\n                    _none_none_gaussNoise             0.750000                        270               360                           5.215633\r\n                          _none_none_none             1.000000                        360               360                           4.943304\r\n                    _none_none_strongBlur             0.916667                        330               360                           3.806217\r\n                   _none_undistorted_blur             0.994444                        358               360                           5.220915\r\n             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443\r\n                   _none_undistorted_none             0.997222                        359               360                           4.340208\r\n             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331\r\n                   _perspective_none_blur             0.629630                        680              1080                           4.825401\r\n             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425\r\n                   _perspective_none_none             0.971296                       1049              1080                           3.920378\r\n             _perspective_none_strongBlur             0.000000                          0              1080                                NaN\r\n            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335\r\n      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195\r\n            _perspective_undistorted_none             0.750000                        810              1080                           3.604110\r\n      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN\r\n             _strongPerspective_none_blur             0.000000                          0               360                                NaN\r\n       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN\r\n             _strongPerspective_none_none             0.083333                         30               360                           2.382460\r\n       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN\r\n                                      all             0.539792                       7773             14400                           4.209964\r\nTotal detected time:  2.6968930000000015 sec\r\n\r\nafter\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             0.991667                        357               360                           4.905091\r\n                    _none_none_gaussNoise             0.750000                        270               360                           5.215633\r\n                          _none_none_none             1.000000                        360               360                           4.943304\r\n                    _none_none_strongBlur             0.916667                        330               360                           3.806217\r\n                   _none_undistorted_blur             0.994444                        358               360                           5.220915\r\n             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443\r\n                   _none_undistorted_none             0.997222                        359               360                           4.340208\r\n             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331\r\n                   _perspective_none_blur             0.629630                        680              1080                           4.825401\r\n             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425\r\n                   _perspective_none_none             0.999074                       1079              1080                           3.865684\r\n             _perspective_none_strongBlur             0.000000                          0              1080                                NaN\r\n            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335\r\n      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195\r\n            _perspective_undistorted_none             0.750000                        810              1080                           3.604110\r\n      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN\r\n             _strongPerspective_none_blur             0.000000                          0               360                                NaN\r\n       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN\r\n             _strongPerspective_none_none             0.000000                          0               360                                NaN\r\n       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN\r\n                                      all             0.539792                       7773             14400                           4.208308\r\nTotal detected time:  2.7706419999999983 sec\r\n```\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project CMake","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2247018409\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25427\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25427/hovercard\" href=\"https://github.com/opencv/opencv/pull/25427\">#25427</a> from MaximSmolskiy:make-finding-corner-neig…"}},{"before":"3282954c2ea8d5873b8d50aff09d7b4a43a64c38","after":"cc6f85e1bab6942acf107e4cacf813347f0552c1","ref":"refs/heads/4.x","pushedAt":"2024-06-10T06:42:56.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"asmorkalov","name":"Alexander Smorkalov","path":"/asmorkalov","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/2536374?s=80&v=4"},"commit":{"message":"Merge pull request #25427 from MaximSmolskiy:make-finding-corner-neighbor-symmetrical-in-ChessBoardDetector-findQuadNeighbors\n\nMake finding corner neighbor symmetrical in ChessBoardDetector::findQuadNeighbors #25427\r\n\r\n### Pull Request Readiness Checklist\r\n\r\nThe 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.\r\n\r\nIdea 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.\r\n\r\nAdditional advantage - it simplifies code and removes some code duplication.\r\n\r\nI tested this PR with benchmark\r\n```\r\npython3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard\r\n```\r\n\r\nThere are minor changes in results\r\n```\r\ncell_img_size = 100 (default)\r\n\r\nbefore\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             1.000000                        360               360                           0.630345\r\n                    _none_none_gaussNoise             0.833333                        300               360                           0.623405\r\n                          _none_none_none             1.000000                        360               360                           0.631517\r\n                    _none_none_strongBlur             1.000000                        360               360                           0.630316\r\n                   _none_undistorted_blur             1.000000                        360               360                           0.671232\r\n             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619\r\n                   _none_undistorted_none             1.000000                        360               360                           0.673669\r\n             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257\r\n                   _perspective_none_blur             1.000000                       1080              1080                           0.588694\r\n             _perspective_none_gaussNoise             0.805556                        870              1080                           0.599312\r\n                   _perspective_none_none             1.000000                       1080              1080                           0.591063\r\n             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604\r\n            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081\r\n      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625704\r\n            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191\r\n      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618\r\n             _strongPerspective_none_blur             1.000000                        360               360                           0.482934\r\n       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551\r\n             _strongPerspective_none_none             1.000000                        360               360                           0.480290\r\n       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080\r\n      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458\r\n_strongPerspective_undistorted_gaussNoise             0.250000                         90               360                           0.448713\r\n      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412\r\n_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791\r\n                                      all             0.904167                      13020             14400                           0.600512\r\nTotal detected time:  139.65614900000008 sec\r\n\r\nafter\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             1.000000                        360               360                           0.630345\r\n                    _none_none_gaussNoise             0.750000                        270               360                           0.636279\r\n                          _none_none_none             1.000000                        360               360                           0.631517\r\n                    _none_none_strongBlur             1.000000                        360               360                           0.630316\r\n                   _none_undistorted_blur             1.000000                        360               360                           0.671232\r\n             _none_undistorted_gaussNoise             1.000000                        360               360                           0.672619\r\n                   _none_undistorted_none             1.000000                        360               360                           0.673669\r\n             _none_undistorted_strongBlur             1.000000                        360               360                           0.671257\r\n                   _perspective_none_blur             1.000000                       1080              1080                           0.588694\r\n             _perspective_none_gaussNoise             0.888889                        960              1080                           0.594106\r\n                   _perspective_none_none             1.000000                       1080              1080                           0.591064\r\n             _perspective_none_strongBlur             1.000000                       1080              1080                           0.588604\r\n            _perspective_undistorted_blur             1.000000                       1080              1080                           0.622081\r\n      _perspective_undistorted_gaussNoise             1.000000                       1080              1080                           0.625703\r\n            _perspective_undistorted_none             1.000000                       1080              1080                           0.624191\r\n      _perspective_undistorted_strongBlur             1.000000                       1080              1080                           0.621618\r\n             _strongPerspective_none_blur             1.000000                        360               360                           0.482934\r\n       _strongPerspective_none_gaussNoise             0.166667                         60               360                           0.391551\r\n             _strongPerspective_none_none             1.000000                        360               360                           0.480290\r\n       _strongPerspective_none_strongBlur             0.333333                        120               360                           0.469080\r\n      _strongPerspective_undistorted_blur             1.000000                        360               360                           0.503458\r\n_strongPerspective_undistorted_gaussNoise             0.333333                        120               360                           0.422259\r\n      _strongPerspective_undistorted_none             1.000000                        360               360                           0.504412\r\n_strongPerspective_undistorted_strongBlur             0.166667                         60               360                           0.473791\r\n                                      all             0.910417                      13110             14400                           0.599746\r\nTotal detected time:  142.40333700000005 sec\r\n\r\n----------------------------------------------------------------------------------------------------------------------------------------------\r\n\r\ncell_img_size = 10\r\n\r\nbefore\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             0.991667                        357               360                           4.905091\r\n                    _none_none_gaussNoise             0.750000                        270               360                           5.215633\r\n                          _none_none_none             1.000000                        360               360                           4.943304\r\n                    _none_none_strongBlur             0.916667                        330               360                           3.806217\r\n                   _none_undistorted_blur             0.994444                        358               360                           5.220915\r\n             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443\r\n                   _none_undistorted_none             0.997222                        359               360                           4.340208\r\n             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331\r\n                   _perspective_none_blur             0.629630                        680              1080                           4.825401\r\n             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425\r\n                   _perspective_none_none             0.971296                       1049              1080                           3.920378\r\n             _perspective_none_strongBlur             0.000000                          0              1080                                NaN\r\n            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335\r\n      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195\r\n            _perspective_undistorted_none             0.750000                        810              1080                           3.604110\r\n      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN\r\n             _strongPerspective_none_blur             0.000000                          0               360                                NaN\r\n       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN\r\n             _strongPerspective_none_none             0.083333                         30               360                           2.382460\r\n       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN\r\n                                      all             0.539792                       7773             14400                           4.209964\r\nTotal detected time:  2.6968930000000015 sec\r\n\r\nafter\r\n\r\n                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard\r\n                          _none_none_blur             0.991667                        357               360                           4.905091\r\n                    _none_none_gaussNoise             0.750000                        270               360                           5.215633\r\n                          _none_none_none             1.000000                        360               360                           4.943304\r\n                    _none_none_strongBlur             0.916667                        330               360                           3.806217\r\n                   _none_undistorted_blur             0.994444                        358               360                           5.220915\r\n             _none_undistorted_gaussNoise             0.997222                        359               360                           4.542443\r\n                   _none_undistorted_none             0.997222                        359               360                           4.340208\r\n             _none_undistorted_strongBlur             0.161111                         58               360                           5.024331\r\n                   _perspective_none_blur             0.629630                        680              1080                           4.825401\r\n             _perspective_none_gaussNoise             0.966667                       1044              1080                           3.895425\r\n                   _perspective_none_none             0.999074                       1079              1080                           3.865684\r\n             _perspective_none_strongBlur             0.000000                          0              1080                                NaN\r\n            _perspective_undistorted_blur             0.583333                        630              1080                           4.594335\r\n      _perspective_undistorted_gaussNoise             0.999074                       1079              1080                           3.553195\r\n            _perspective_undistorted_none             0.750000                        810              1080                           3.604110\r\n      _perspective_undistorted_strongBlur             0.000000                          0              1080                                NaN\r\n             _strongPerspective_none_blur             0.000000                          0               360                                NaN\r\n       _strongPerspective_none_gaussNoise             0.000000                          0               360                                NaN\r\n             _strongPerspective_none_none             0.000000                          0               360                                NaN\r\n       _strongPerspective_none_strongBlur             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_blur             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_gaussNoise             0.000000                          0               360                                NaN\r\n      _strongPerspective_undistorted_none             0.000000                          0               360                                NaN\r\n_strongPerspective_undistorted_strongBlur             0.000000                          0               360                                NaN\r\n                                      all             0.539792                       7773             14400                           4.208308\r\nTotal detected time:  2.7706419999999983 sec\r\n```\r\n\r\nSee details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request\r\n\r\n- [x] I agree to contribute to the project under Apache 2 License.\r\n- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV\r\n- [x] The PR is proposed to the proper branch\r\n- [ ] There is a reference to the original bug report and related work\r\n- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable\r\n      Patch to opencv_extra has the same branch name.\r\n- [ ] The feature is well documented and sample code can be built with the project 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data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25722/hovercard\" href=\"https://github.com/opencv/opencv/pull/25722\">#25722</a> from AleksandrPanov:update_testSeveralBoard…"}},{"before":"cbf3b1187d9192d64511c2af01fb2aa2310b069d","after":"adcb0703965d2835eb76d040ae0a5e0fa151566b","ref":"refs/heads/master","pushedAt":"2024-06-06T12:35:03.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"opencv-alalek","name":"Alexander Alekhin","path":"/opencv-alalek","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/128253464?s=80&v=4"},"commit":{"message":"Merge pull request #25307 from MaximMilashchenko:halrvv071\n\n* added hal for cv_hal_cvtBGRtoBGR rvv 0.7.1","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2219653524\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25307\" data-hovercard-type=\"pull_request\" 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href=\"https://github.com/opencv/opencv/pull/25307\">#25307</a> from MaximMilashchenko:halrvv071"}},{"before":"0d1ed49d2a1221994358eccbf90b4be2b8f70b67","after":"cbf3b1187d9192d64511c2af01fb2aa2310b069d","ref":"refs/heads/master","pushedAt":"2024-06-06T10:40:03.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"opencv-alalek","name":"Alexander Alekhin","path":"/opencv-alalek","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/128253464?s=80&v=4"},"commit":{"message":"Merge pull request #25720 from VadimLevin:dev/vlevin/floodFill-optional-mask\n\nfix: mark floodFill mask as optional in Python typing stubs","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2337725111\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25720\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25720/hovercard\" href=\"https://github.com/opencv/opencv/pull/25720\">#25720</a> from VadimLevin:dev/vlevin/floodFill-option…"}},{"before":"0d1ed49d2a1221994358eccbf90b4be2b8f70b67","after":"cbf3b1187d9192d64511c2af01fb2aa2310b069d","ref":"refs/heads/4.x","pushedAt":"2024-06-06T10:36:00.000Z","pushType":"pr_merge","commitsCount":2,"pusher":{"login":"asmorkalov","name":"Alexander Smorkalov","path":"/asmorkalov","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/2536374?s=80&v=4"},"commit":{"message":"Merge pull request #25720 from VadimLevin:dev/vlevin/floodFill-optional-mask\n\nfix: mark floodFill mask as optional in Python typing stubs","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2337725111\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25720\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25720/hovercard\" href=\"https://github.com/opencv/opencv/pull/25720\">#25720</a> from VadimLevin:dev/vlevin/floodFill-option…"}},{"before":"a5d9c29b121c85968e10d523a6baae46c59e5e16","after":"0d1ed49d2a1221994358eccbf90b4be2b8f70b67","ref":"refs/heads/master","pushedAt":"2024-06-06T09:55:03.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"opencv-alalek","name":"Alexander Alekhin","path":"/opencv-alalek","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/128253464?s=80&v=4"},"commit":{"message":"Merge pull request #25703 from mshabunin:fix-imread-arg\n\nimgproc: fixed imread with output image argument","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2333320567\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opencv/opencv/issues/25703\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opencv/opencv/pull/25703/hovercard\" 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