24542 Commits

Author	SHA1	Message	Date
Alexander Smorkalov	0dde3b65d5	Merge pull request #23798 from VadimLevin:dev/vlevin/runtime-typing-module ... feat: provide cv2.typing aliases at runtime	2023-06-15 14:41:13 +03:00
Maksim Shabunin	463cd09811	Merge pull request #23666 from mshabunin:barcode-move ... Moved barcode from opencv_contrib #23666 Merge with https://github.com/opencv/opencv_contrib/pull/3497 ##### TODO - [x] Documentation (bib) - [x] Tutorial (references) - [x] Sample app (refactored) - [x] Java (test passes) - [x] Python (test passes) - [x] Build without DNN	2023-06-14 22:21:38 +03:00
Vadim Levin	5859a531e5	feat: manual refinement for Python API definition ... Mark `resize` and `calcHist` arguments as optional regardless of their C++ API optionality	2023-06-14 21:24:05 +03:00
Vadim Levin	8e8638431d	feat: provide cv2.typing aliases at runtime	2023-06-14 20:09:32 +03:00
Wang Kai	fc2d933224	removing unreachable code and fixing a typo	2023-06-15 01:09:02 +08:00
Alexander Smorkalov	52f46589a0	Merge pull request #23790 from asmorkalov:as/qrcode_aruco_js ... JS bindings for Aruco-based QR code detector	2023-06-14 17:05:09 +03:00
Dmitry Kurtaev	6909fffde1	Consider half pixel mode in ONNX resize	2023-06-14 14:21:28 +03:00
Damiano Falcioni	19f4f2eb92	Merge pull request #23785 from damianofalcioni:4.x ... added Aruco MIP dictionaries #23785 added Aruco MIP dictionaries: DICT_ARUCO_MIP_16h3, DICT_ARUCO_MIP_25h7, DICT_ARUCO_MIP_36h12 from [Aruco.js](https://github.com/damianofalcioni/js-aruco2), converted in opencv format using https://github.com/damianofalcioni/js-aruco2/blob/master/src/dictionaries/utils/dic2opencv.js ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-06-14 13:29:30 +03:00
Anatoliy Talamanov	b854d4ecd8	Merge pull request #23786 from TolyaTalamanov:at/expose-preprocessing-to-ie-backend ... G-API: Expose explicit preprocessing for IE Backend #23786 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-06-14 09:29:49 +03:00
Alexander Smorkalov	b522148bd9	Merge pull request #23788 from dkurt:py_scalar_assign ... Change Scalar assignment in Python from single value	2023-06-13 18:12:00 +03:00
Anatoliy Talamanov	a371bdac9d	Merge pull request #23766 from TolyaTalamanov:at/segmentation-demo-desync ... G-API: Refine Semantic Segmentation Demo #23766 ### Overview * Supported demo working with camera id (e.g `--input=0`) * Supported 3d output segmentation models (e.g `deeplabv3`) * Supported `desync` execution * Supported higher camera resolution * Changed the color map to pascal voc (https://cloud.githubusercontent.com/assets/4503207/17803328/1006ca80-65f6-11e6-9ff6-36b7ef5b9ac6.png) ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-06-13 18:06:19 +03:00
Alexander Smorkalov	3af6001a75	JS bindings for Aruco-based QR code detector.	2023-06-13 17:20:52 +03:00
Alexander Smorkalov	843daca26e	JS bingings fix for QR code detector.	2023-06-13 15:36:29 +03:00
Dmitry Kurtaev	f9d7f47e28	Change Scalar assignment in Python from single value	2023-06-13 10:45:03 +03:00
Alexander Smorkalov	e60a7c0d49	Merge pull request #23775 from kai-waang:fixing-typo ... fixing typo of a variable name in dnn::runFastConv	2023-06-12 17:50:12 +03:00
zihaomu	37459f89c9	remove unsupported unsupported unicode	2023-06-11 23:02:34 +08:00
Wang Kai	4622f1e89b	fixing typo of a variable name in dnn::runFastConv	2023-06-11 01:54:03 +08:00
Alexander Smorkalov	6ca697bc12	Merge pull request #23725 from asmorkalov:as/aruco_js_refresh ... Refreshed JavaScript bindings for Aruco related algorithms	2023-06-10 09:21:24 +03:00
Sean McBride	57da72d444	Fixed invalid cast and unaligned memory access ... Although acceptible to Intel CPUs, it's still undefined behaviour according to the C++ standard. It can be replaced with memcpy, which makes the code simpler, and it generates the same assembly code with gcc and clang with -O2 (verified with godbolt). Also expanded the test to include other little endian CPUs by testing for __LITTLE_ENDIAN__.	2023-06-09 18:56:49 -04:00
Alexander Smorkalov	fe14e7ab24	Merge pull request #23758 from AleksandrPanov:add_GenericGraphicalCode_interface ... Add graphical code detector interface	2023-06-09 15:46:32 +03:00
Alexander Smorkalov	61488885b5	Refreshed JavaScript bindings for Aruco related algorithms.	2023-06-09 15:43:43 +03:00
Vincent Rabaud	472aad46a6	Merge pull request #23596 from vrabaud:libavif ... Add AVIF support through libavif. #23596 This is to fix https://github.com/opencv/opencv/issues/19271 Extra: https://github.com/opencv/opencv_extra/pull/1069 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-06-09 15:39:10 +03:00
Alexander Smorkalov	0c8e6e0e68	Merge pull request #23740 from Peekabooc:4.x ... fixing typo in stitching parameter names	2023-06-09 13:40:02 +03:00
Pierre Chatelier	60b806f9b8	Merge pull request #22947 from chacha21:hasNonZero ... Added cv::hasNonZero() #22947 `cv::hasNonZero()` is semantically equivalent to (`cv::countNonZero()>0`) but stops parsing the image when a non-zero value is found, for a performance gain - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake This pull request might be refused, but I submit it to know if further work is needed or if I just stop working on it. The idea is only a performance gain vs `countNonZero()>0` at the cost of more code. Reasons why it might be refused : - this is just more code - the execution time is "unfair"/"unpredictable" since it depends on the position of the first non-zero value - the user must be aware that default search is from first row/col to last row/col and has no way to customize that, even if his use case lets him know where a non zero could be found - the PR in its current state is using, for the ocl implementation, a mere `countNonZero()>0` ; there is not much sense in trying to break early the ocl kernel call when non-zero is encountered. So the ocl implementation does not bring any improvement. - there is no IPP function that can help (`countNonZero()` is based in `ippCountInRange`) - the PR in its current state might be slower than a call to `countNonZero()>0` in some cases (see "challenges" below) Reasons why it might be accepted : - the performance gain is huge on average, if we consider that "on average" means "non zero in the middle of the image" - the "missing" IPP implementation is replaced by an "Open-CV universal intrinsics" implementation - the PR in its current state is almost always faster than a call to `countNonZero()>0`, is only slightly slower in the worst cases, and not even for all matrices **Challenges** The worst case is either an all-zero matrix, or a non-zero at the very last position. In such a case, the `hasNonZero()` implementation will parse the whole matrix like `countNonZero()` would do. But we expect the performance to be the same in this case. And `ippCountInRange` is hard to beat ! There is also the case of very small matrices (<=32x32...) in 8b, where the SIMD can be hard to feed. For all cases but the worse, my custom `hasNonZero()` performs better than `ippCountInRange()` For the worst case, my custom `hasNonZero()` performs better than `ippCountInRange()` *except for large matrices of type CV_32S or CV_64F* (but surprisingly, not CV_32F). The difference is small, but it exists (and I don't understand why). For very small CV_8U matrices `ippCountInRange()` seems unbeatable. Here is the code that I use to check timings ``` //test cv::hasNonZero() vs (cv::countNonZero()>0) for different matrices sizes, types, strides... { cv::setRNGSeed(1234); const std::vector<cv::Size> sizes = {{32, 32}, {64, 64}, {128, 128}, {320, 240}, {512, 512}, {640, 480}, {1024, 768}, {2048, 2048}, {1031, 1000}}; const std::vector<int> types = {CV_8U, CV_16U, CV_32S, CV_32F, CV_64F}; const size_t iterations = 1000; for(const cv::Size& size : sizes) { for(const int type : types) { for(int c = 0 ; c<2 ; ++c) { const bool continuous = !c; for(int i = 0 ; i<4 ; ++i) { cv::Mat m = continuous ? cv::Mat::zeros(size, type) : cv::Mat(cv::Mat::zeros(cv::Size(2*size.width, size.height), type), cv::Rect(cv::Point(0, 0), size)); const bool nz = (i <= 2); const unsigned int nzOffsetRange = 10; const unsigned int nzOffset = cv::randu<unsigned int>()%nzOffsetRange; const cv::Point pos = (i == 0) ? cv::Point(nzOffset, 0) : (i == 1) ? cv::Point(size.width/2-nzOffsetRange/2+nzOffset, size.height/2) : (i == 2) ? cv::Point(size.width-1-nzOffset, size.height-1) : cv::Point(0, 0); std::cout << "============================================================" << std::endl; std::cout << "size:" << size << " type:" << type << " continuous = " << (continuous ? "true" : "false") << " iterations:" << iterations << " nz=" << (nz ? "true" : "false"); std::cout << " pos=" << ((i == 0) ? "begin" : (i == 1) ? "middle" : (i == 2) ? "end" : "none"); std::cout << std::endl; cv::Mat mask = cv::Mat::zeros(size, CV_8UC1); mask.at<unsigned char>(pos) = 0xFF; m.setTo(cv::Scalar::all(0)); m.setTo(cv::Scalar::all(nz ? 1 : 0), mask); std::vector<bool> results; std::vector<double> timings; { bool res = false; auto ref = cv::getTickCount(); for(size_t k = 0 ; k<iterations ; ++k) res = cv::hasNonZero(m); auto now = cv::getTickCount(); const bool error = (res != nz); if (error) printf("!!ERROR!!\r\n"); results.push_back(res); timings.push_back(1000.*(now-ref)/cv::getTickFrequency()); } { bool res = false; auto ref = cv::getTickCount(); for(size_t k = 0 ; k<iterations ; ++k) res = (cv::countNonZero(m)>0); auto now = cv::getTickCount(); const bool error = (res != nz); if (error) printf("!!ERROR!!\r\n"); results.push_back(res); timings.push_back(1000.*(now-ref)/cv::getTickFrequency()); } const size_t bestTimingIndex = (std::min_element(timings.begin(), timings.end())-timings.begin()); if ((bestTimingIndex != 0) || (std::find_if_not(results.begin(), results.end(), [&](bool r) {return (r == nz);}) != results.end())) { std::cout << "cv::hasNonZero\t\t=>" << results[0] << ((results[0] != nz) ? " ERROR" : "") << " perf:" << timings[0] << "ms => " << (iterations/timings[0]*1000) << " im/s" << ((bestTimingIndex == 0) ? " * " : "") << std::endl; std::cout << "cv::countNonZero\t=>" << results[1] << ((results[1] != nz) ? " ERROR" : "") << " perf:" << timings[1] << "ms => " << (iterations/timings[1]*1000) << " im/s" << ((bestTimingIndex == 1) ? " * " : "") << std::endl; } } } } } } ``` Here is a report of this benchmark (it only reports timings when `cv::countNonZero()` is faster) My CPU is an Intel Core I7 4790 @ 3.60Ghz ``` ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=middle cv::hasNonZero =>1 perf:0.353764ms => 2.82674e+06 im/s cv::countNonZero =>1 perf:0.282044ms => 3.54555e+06 im/s * ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:0.610478ms => 1.63806e+06 im/s cv::countNonZero =>1 perf:0.283182ms => 3.5313e+06 im/s * ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:0.630115ms => 1.58701e+06 im/s cv::countNonZero =>0 perf:0.282044ms => 3.54555e+06 im/s * ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:0.607347ms => 1.64651e+06 im/s cv::countNonZero =>1 perf:0.467037ms => 2.14116e+06 im/s * ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:0.618162ms => 1.6177e+06 im/s cv::countNonZero =>0 perf:0.468175ms => 2.13595e+06 im/s * ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:895.381ms => 1116.84 im/s cv::countNonZero =>1 perf:882.569ms => 1133.06 im/s * ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:899.53ms => 1111.69 im/s cv::countNonZero =>0 perf:870.894ms => 1148.24 im/s * ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:2018.92ms => 495.313 im/s cv::countNonZero =>1 perf:1966.37ms => 508.552 im/s * ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:2005.87ms => 498.537 im/s cv::countNonZero =>0 perf:1992.78ms => 501.812 im/s * ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=false pos=none done ```	2023-06-09 13:37:20 +03:00
Zihao Mu	eec8a20c33	Merge pull request #23763 from zihaomu:add_runtime_check ... DNN: fix bug for X86 Winograd #23763 Address https://github.com/opencv/opencv/issues/23760 The patch aims to add a runtime check for X86 platform without AVX(2). ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-06-09 09:18:12 +03:00
Alexander Smorkalov	5d913f4d72	Merge pull request #21959 from cpoerschke:4.x-intelligent-scissors-optimisation ... imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap	2023-06-08 16:45:04 +03:00
Alex	b729d8e821	added graphicalCodeDetector, remove QRCodeDetectorBase	2023-06-08 14:50:58 +03:00
Alexander Smorkalov	6d2cbc4055	Merge pull request #23761 from LaurentBerger:typeblobfromimages ... checktype in blobFromImages and blobFromImagesWithParams	2023-06-08 09:59:01 +03:00
Christine Poerschke	f597838685	imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap	2023-06-07 22:06:52 +01:00
TolyaTalamanov	af95395fe7	Fix ifdef condition	2023-06-07 15:42:54 +01:00
unknown	5f8e43da85	checktype in blobFromImages and blobFromImagesWithParams	2023-06-07 16:15:58 +02:00
Abduragim Shtanchaev	6b53fe8f7b	Merge pull request #23746 from Abdurrahheem:ash/graph_simplifier ... Assertion Fix in Split Layer #23746 ### Pull Request Readiness Checklist This PR fixes issue mentioned in [#23663](https://github.com/opencv/opencv/issues/23663) Merge with https://github.com/opencv/opencv_extra/pull/1067 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-06-07 16:01:42 +03:00
Christine Poerschke	d3e7968927	Merge pull request #23688 from cpoerschke:4.x-pr-21959-prep ... imgproc: add contour values check to IntelligentScissorsMB tests Preparation for the #21959 changes as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1560511500 suggestion. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-06-07 11:32:17 +03:00
Alexander Smorkalov	b9ce87e8e2	Merge pull request #23750 from mshabunin:fix-bgr2hls-access ... imgproc/cvtColor: fixed invalid read in BGR2HLS	2023-06-06 11:34:08 +03:00
Alexander Smorkalov	af03e000c7	Merge pull request #23732 from vekkuli:vekkuli-patch-create-featherblender ... Fix missuse of try_gpu in stitching/FeatherBlender	2023-06-06 10:00:36 +03:00
Maksim Shabunin	adab462e42	imgproc/cvtColor: fixed invalid read in BGR2HLS	2023-06-05 23:25:44 +03:00
Alex	b5ac7ef2f2	fix cornerRefinementMethod binding	2023-06-05 11:04:11 +03:00
Wang Kai	983925c685	fixing typo	2023-06-04 19:06:26 +08:00
Jaakko Rantala	385003e9fe	Update blenders.cpp ... Removed passing try_gpu parameter to FeatherBlender constructor because it only has sharpness parameter.	2023-06-02 16:46:05 +03:00
Alexander Panov	9fa014edcd	Merge pull request #23264 from AleksandrPanov:add_detect_qr_with_aruco ... Add detect qr with aruco #23264 Using Aruco to detect finder patterns to search QR codes. TODO (in next PR): - add single QR detect (update `detect()` and `detectAndDecode()`) - need reduce full enumeration of finder patterns - need add finder pattern info to `decode` step - need to merge the pipeline of the old and new algorithm [Current results:](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit#gid=1192415584) +20% total detect, +8% total decode in OpenCV [QR benchmark](https://github.com/opencv/opencv_benchmarks/tree/develop/python_benchmarks/qr_codes)  78.4% detect, 58.7% decode vs 58.5 detect, 50.5% decode in default [main.py.txt](https://github.com/opencv/opencv/files/10762369/main.py.txt)  add new info to [google docs](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit?usp=sharing) ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-06-02 16:18:24 +03:00
Anatoliy Talamanov	5330112f05	Merge pull request #23595 from TolyaTalamanov:at/implement-openvino-backend ... [G-API] Implement OpenVINO 2.0 backend #23595 ### Pull Request Readiness Checklist Implemented basic functionality for `OpenVINO` 2.0 G-API backend. #### Overview - [x] Implement `Infer` kernel with some of essential configurable parameters + IR/Blob models format support. - [ ] Implement the rest of kernels: `InferList`, `InferROI`, `Infer2` + other configurable params (e.g reshape) - [x] Asyncrhonous execution support - [ ] Remote context support See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-06-02 14:31:03 +03:00
Alexander Smorkalov	2104d61d4a	Merge pull request #23668 from TolyaTalamanov:at/fix-resize-applying-logic-ie-backend ... WIP: [G-API] IE Backend: Update the condition for applying the resize preprocessing	2023-06-01 13:55:07 +03:00
Alexander Smorkalov	0787c31f41	Python package classifiers sync with OpenCV-Python repo.	2023-06-01 10:49:27 +03:00
Anna Khakimova	6d3dd24622	Merge pull request #21797 from anna-khakimova:ak/merge3_extend_supported_types ... GAPI Fluid SIMD:Add support of new several types for the Merge3 - Support of the new several types was added. - Fixes for the Split/Merge and ConvertTo issues.	2023-05-31 14:59:39 +03:00
Dmitry Matveev	fc5d412ba7	Merge pull request #23597 from dmatveev:dm/gapi_onnx_py_integration ... G-API: Integration branch for ONNX & Python-related changes #23597 # Changes overview ## 1. Expose ONNX backend's Normalization and Mean-value parameters in Python * Since Python G-API bindings rely on `Generic` infer to express Inference, the `Generic` specialization of `onnx::Params` was extended with new methods to control normalization (`/255`) and mean-value; these methods were exposed in the Python bindings * Found some questionable parts in the existing API which I'd like to review/discuss (see comments) UPD: 1. Thanks to @TolyaTalamanov normalization inconsistencies have been identified with `squeezenet1.0-9` ONNX model itself; tests using these model were updated to DISABLE normalization and NOT using mean/value. 2. Questionable parts were removed and tests still pass. ### Details (taken from @TolyaTalamanov's comment): `squeezenet1.0.*onnx` - doesn't require scaling to [0,1] and mean/std because the weights of the first convolution already scaled. ONNX documentation is broken. So the correct approach to use this models is: 1. ONNX: apply preprocessing from the documentation: https://github.com/onnx/models/blob/main/vision/classification/imagenet_preprocess.py#L8-L44 but without normalization step: ``` # DON'T DO IT: # mean_vec = np.array([0.485, 0.456, 0.406]) # stddev_vec = np.array([0.229, 0.224, 0.225]) # norm_img_data = np.zeros(img_data.shape).astype('float32') # for i in range(img_data.shape[0]): # norm_img_data[i,:,:] = (img_data[i,:,:]/255 - mean_vec[i]) / stddev_vec[i] # # add batch channel # norm_img_data = norm_img_data.reshape(1, 3, 224, 224).astype('float32') # return norm_img_data # INSTEAD return img_data.reshape(1, 3, 224, 224) ``` 2. G-API: Convert image from BGR to RGB and then pass to `apply` as-is with configuring parameters: ``` net = cv.gapi.onnx.params('squeezenet', model_filename) net.cfgNormalize('data_0', False) ``` **Note**: Results might be difference because `G-API` doesn't apply central crop but just do resize to model resolution. --- `squeezenet1.1.*onnx` - requires scaling to [0,1] and mean/std - onnx documentation is correct. 1. ONNX: apply preprocessing from the documentation: https://github.com/onnx/models/blob/main/vision/classification/imagenet_preprocess.py#L8-L44 2. G-API: Convert image from BGR to RGB and then pass to `apply` as-is with configuring parameters: ``` net = cv.gapi.onnx.params('squeezenet', model_filename) net.cfgNormalize('data_0', True) // default net.cfgMeanStd('data_0', [0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ``` **Note**: Results might be difference because `G-API` doesn't apply central crop but just do resize to model resolution. ## 2. Expose Fluid & kernel package-related functionality in Python * `cv::gapi::combine()` * `cv::GKernelPackage::size()` (mainly for testing purposes) * `cv::gapi::imgproc::fluid::kernels()` Added a test for the above. ## 3. Fixed issues with Python stateful kernel handling Fixed error message when `outMeta()` of custom python operation fails. ## 4. Fixed various issues in Python tests 1. `test_gapi_streaming.py` - fixed behavior of Desync test to avoid sporadic issues 2. `test_gapi_infer_onnx.py` - fixed model lookup (it was still using the ONNX Zoo layout but was NOT using the proper env var we use to point to one). ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-30 17:52:17 +03:00
Pierre Chatelier	93d490213f	Merge pull request #23690 from chacha21:rotatedRectangleIntersection_precision ... better accuracy for _rotatedRectangleIntersection() (proposal for #23546) #23690 _rotatedRectangleIntersection() can be (statically) customized to use double instead of float for better accuracy this is a proposal for experimentation around #23546 for better accuracy, _rotatedRectangleIntersection() could use double. It will still return cv::Point2f list for backward compatibility, but the inner computations are controlled by a typedef - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-30 17:46:39 +03:00
Olivier Hotel	0442c6fa81	Addition of normalize_axis to ONNXImporter::parseSqueeze to support negative values for the axes attribut. ... Negative values are part of the ONNX optset>=11. Signed-off-by: Olivier Hotel <olivier.hotel@orange.com>	2023-05-30 10:21:27 +02:00
Abduragim Shtanchaev	ecd2e8ff47	added index that check all inputs of nodes that ... match	2023-05-29 14:48:42 +03:00
Alexander Smorkalov	02397ef851	Merge pull request #23567 from seanm:UBSan-overflow ... Reformulated some pointer arithmetic to avoid (unsigned) overflow	2023-05-29 12:19:34 +03:00
Christine Poerschke	b5e9eb742c	Merge pull request #23698 from cpoerschke:4.x-pr-21959-perf ... imgproc: add basic IntelligentScissorsMB performance test #23698 Adding basic performance test that can be used before and after the #21959 changes etc. as per @asmorkalov's https://github.com/opencv/opencv/pull/21959#issuecomment-1565240926 comment. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-05-29 11:02:59 +03:00
triple Mu	1bffe170e1	Update setup.py ... Fix error: UnboundLocalError: local variable 'typing_stub_files' referenced before assignment	2023-05-27 17:23:32 +08:00
Alexander Smorkalov	7b998c30e7	Merge pull request #23694 from dkurt:update_matchTemplateMask ... Update matchTemplate with mask	2023-05-27 09:42:55 +03:00
Sean McBride	2083fdc9c0	Fixed UBSan warning about undefined pointer arithmetic overflow ... Pointer arithmetic overflow is always undefined, whether signed or unsigned. It warned here: `Addition of unsigned offset to 0x00017fd31b97 overflowed to 0x00017fd30c97` Convert the offset to a signed number, so that we can offset either forward or backwards. In my own use of OpenCV at least, this is the only case of pointer arithmetic overflow.	2023-05-26 15:54:52 -04:00
Alexander Smorkalov	d1b158b9dd	Merge pull request #23692 from asmorkalov:as/ffmpeg_fps_3.4 ... backport to 3.4: Fixed FPS computation on some videos for FFmpeg backend	2023-05-26 20:47:13 +03:00
Dmitry Kurtaev	380caa1a87	Merge pull request #23691 from dkurt:pycv_float16_fixes ... Import and export np.float16 in Python #23691 ### Pull Request Readiness Checklist * Also, fixes `cv::norm` with `NORM_INF` and `CV_16F` resolves https://github.com/opencv/opencv/issues/23687 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-26 18:56:21 +03:00
Alexander Smorkalov	900f17d563	Merge pull request #23677 from asmorkalov:as/objc_naming_backport ... ObjC naming backport from 5.x	2023-05-26 18:54:34 +03:00
Dmitry Kurtaev	c97942cf78	Fix mask thresholding	2023-05-26 18:51:33 +03:00
captain-n3m0	6157db6462	Fixed matchTemplate function. #23585	2023-05-26 18:51:01 +03:00
Duong Dac	a9424868a1	Merge pull request #20370 from ddacw:stub-gen-next ... Python typing stub generation #20370 Add stub generation to `gen2.py`, addressing #14590. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV - [x] The PR is proposed to proper branch - [x] There is reference to original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-05-26 18:25:46 +03:00
Alexander Smorkalov	cbda161c39	Fixed FPS computation on some videos for FFmpeg backend.	2023-05-26 14:36:13 +03:00
Alexander Smorkalov	cf0ba039c3	Merge pull request #23625 from zihaomu:improve_conv ... DNN: Remove unnecessary flags for convolution	2023-05-26 12:59:36 +03:00
Alexander Smorkalov	65487946cc	Added final constrants check to solveLP to filter out flating-point numeric issues.	2023-05-25 17:29:01 +03:00
Dmitry Kurtaev	4823285b55	Merge pull request #23679 from dkurt:py_cv_type_macro ... Python bindings for CV_8UC(n) and other types macros #23679 ### Pull Request Readiness Checklist resolves https://github.com/opencv/opencv/issues/23628#issuecomment-1562468327 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-25 15:54:41 +03:00
Alexander Smorkalov	26a7b332cb	Merge pull request #23671 from zihaomu:fix_potential_bug ... DNN: fix potential bug, stride should not be set as 0.	2023-05-25 13:36:37 +03:00
Yuantao Feng	f07b01cc34	Merge pull request #23655 from fengyuentau:qlinearsoftmax ... Support ONNX operator QLinearSoftmax in dnn #23655 Resolves https://github.com/opencv/opencv/issues/23636. Merge with https://github.com/opencv/opencv_extra/pull/1064. This PR maps the QLinearSoftmax (from com.microsoft domain) to SoftmaxInt8 in dnn along with some speed optimization. Todo: - [x] support QLinearSoftmax with opset = 13 - [x] add model and test data for QLinearSoftmax with opset = 13 - [x] ensure all models have dims >= 3. - [x] add the script to generate model and test data ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-25 13:35:58 +03:00
Alexander Smorkalov	bbda6f4c57	Backport 5.x: Support for module names that start from digit in ObjC bindings generator.	2023-05-25 11:45:59 +03:00
Dmitry Kurtaev	29b2f77b5f	Merge pull request #23674 from dkurt:py_cv_maketype ... CV_MAKETYPE Python binding #23674 ### Pull Request Readiness Checklist resolves https://github.com/opencv/opencv/issues/23628 ```python import cv2 as cv t = cv.CV_MAKETYPE(cv.CV_32F, 4) ``` See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-25 09:45:22 +03:00
Maksim Shabunin	537060d96f	Merge pull request #23672 from mshabunin:fix-javadoc17	2023-05-24 23:07:27 +03:00
zihaomu	4384e77bd1	when stride ==0, it should be bug	2023-05-24 21:57:59 +08:00
TolyaTalamanov	dc714c1181	Change logic for applying resize	2023-05-24 13:06:19 +00:00
Alexander Smorkalov	d4861bfd1f	Merge remote-tracking branch 'origin/3.4' into merge-3.4	2023-05-24 14:37:48 +03:00
Akshat Chauhan	c07145fe28	Merge pull request #23662 from akormous:docfix ... Fix truncated sentenced in boxPoints documentation #22975 #23662 Resolves #22975 Completed the sentence as per the suggestion given in the issue #22975 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-24 11:41:25 +03:00
Alexander Smorkalov	98d678c2d2	Added check that YUYV input of cvtColor has even width.	2023-05-23 14:17:43 +03:00
Alexander Smorkalov	4a559bc2ab	Merge pull request #23656 from peters:patch-2 ... Build fix for AVX 256	2023-05-23 09:20:34 +03:00
Alexander Smorkalov	e3c5c0906b	Merge pull request #23371 from cudawarped:cuda_add_futher_python_interop ... `cuda`: Add bindings to allow `GpuMat` and `Stream` objects to be initialized from memory initialized in other libraries	2023-05-22 18:17:12 +03:00
Alexander Smorkalov	b122a4b436	Merge pull request #23646 from dkurt:dnn_ie_region_fix ... Fix Region layer with OpenVINO in case of different width/height	2023-05-22 16:22:50 +03:00
Christine Poerschke	d00a96315e	Merge pull request #23612 from cpoerschke:3.4-issue-21532 ... QRCodeDetector: don't floodFill with outside-of-image seedPoint #23612 Fixes #21532. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-05-22 13:34:30 +03:00
Peter Rekdal Khan-Sunde	04970490ec	Build fix ... /build/build_cuda/3p/opencv/linux-x64/ubuntu22.04/Debug/modules/dnn/src/layers/cpu_kernels/convolution.cpp: In function 'void cv::dnn::packData8(char*&, float*&, int&, int&, int&, const int*, int, int, int)': /build/build_cuda/3p/opencv/linux-x64/ubuntu22.04/Debug/modules/dnn/src/layers/cpu_kernels/convolution.cpp:448:43: error: 'CONV_NR' was not declared in this scope; did you mean 'CONV_3D'? 448 | vx_store(inpbufC_FP32 + k*CONV_NR, vx_load(inptrInC + k1)); | ^~~~~~~ | CONV_3D	2023-05-22 11:25:04 +02:00
cudawarped	7539abecdb	cuda: add python bindings to allow GpuMat and Stream objects to be initialized from raw pointers	2023-05-22 11:02:04 +03:00
Alexander Smorkalov	3f3c821800	Merge pull request #23631 from asmorkalov:as/eigen_NOMINMAX_warning_fix ... Build warning fix on Windows for Eigen wrapper.	2023-05-19 21:06:41 +03:00
Alexander Smorkalov	c946285a07	Merge pull request #23601 from cudawarped:videocapture_threading ... Videoio: FFMpeg remove locks from `VideoCapure/VideoWriter::open()` to fix 20114	2023-05-19 20:33:25 +03:00
Dmitry Kurtaev	c92135bdd1	Merge pull request #23634 from dkurt:fix_nearest_exact ... Fix even input dimensions for INTER_NEAREST_EXACT #23634 ### Pull Request Readiness Checklist resolves https://github.com/opencv/opencv/issues/22204 related: https://github.com/opencv/opencv/issues/9096#issuecomment-1551306017 /cc @Yosshi999 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-19 20:32:04 +03:00
Alexander Smorkalov	f2311d1bfd	Merge pull request #23645 from Abdurrahheem:ash/tf_init_input_check ... Add assert to check if layer input size is not empty	2023-05-19 13:28:24 +03:00
Zihao Mu	5025f29378	speed up vulkan dnn, and support ios and apple m1 chip. (#23349)	2023-05-18 20:02:27 +03:00
Dmitry Kurtaev	af14780526	Fix Region layer with OpenVINO in case of different width/height	2023-05-18 17:45:30 +03:00
Abduragim Shtanchaev	2b9d2c726a	add assert to check if layer input size is not empty	2023-05-18 16:17:57 +03:00
SoY Szala	340e999c45	Proposed solution for issue #23633	2023-05-17 23:06:59 +02:00
Abduragim Shtanchaev	d2143bcd44	Merge pull request #23614 from Abdurrahheem:lstm_layout_attribute ... LSTM ONNX Layout Attribute Support #23614 ### Explanation This PR contains necessary changes to support `layout` attribute. This attributes is present in [ONNX](https://github.com/onnx/onnx/blob/main/docs/Operators.md#lstm) and [Torch](https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html#lstm) (in touch it is name as `batch_first=True`) libraries. When `layout = 1` input to LSTM layer is expected to have batch dimension first -> `[batch_size, sequence_length, features]` vs `layout = 0` - default `[sequence_length, batch_size, features]` ### Test Data Test data and data generator for PR located here [#1063](https://github.com/opencv/opencv_extra/pull/1063) ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-17 22:46:56 +03:00
Alexander Smorkalov	ae8c90301f	Fixed mask handling in AffineFeature.	2023-05-17 12:04:52 +03:00
Alexander Smorkalov	4eec739624	Build warning fix on Windows for Eigen wrapper.	2023-05-17 10:12:02 +03:00
Yuantao Feng	eefee8574a	dnn: refactor reduce (#23613) ... * initial impl * remove reduce in8; fix reduce importer * fix bugs and add log sum exp * remove unnecessary header and fix indentation	2023-05-17 10:03:45 +03:00
Zihao Mu	5229312ad2	Merge pull request #22275 from zihaomu:fp16_support_conv ... DNN: FP16 support on Convolution 2D #22275 ## FP16 support on ARM platform This PR proposes to support FP16 backend in Convolution. For now, we only support FP16 at ARM aarch64. In addition to adding fp16, I also added `seperateIm2col` optimization in this patch. ## How to use FP16 to speed up convolution? ``` Net net = readNet(modelPath); net.setPreferableTarget(DNN_TARGET_CPU_FP16); net.setInput(blob); Mat output = net.forward(); ``` ### TODO List | Task | Status | Remarks | |:-------:|:--------:|:------------:| | Convolution 2D FP16 | ✔️ | Done | | Winograd FP16 | Because the current modification has reached 2k lines, winograd fp16 will be completed in the next PR. | | | Accuracy Test | ✔️ | Done | | Performance Test | ✔️ | Done | | Compiler bug | ✔️ | Done | ### Speed Test for FP 16. **Test on M1 chip, 4 threads.** | Model Name | FP32 (Conv+Wino) | Conv(FP16) + Wino(FP 32) | |:-------:|:--------:|:------------:| | ReseNet 50 | 26.0 ms | **18.05 ms** (25% speed up)| | MobileNet V2 | 4.17 ms | **3.09 ms (29% speed up)** | ### Speed Test for `seperateIm2col` trick on X86. **Test on AMD 5600x, 12 threads.** | Model Name | 4.x | Patch | |:-------:|:--------:|:------------:| | MobileNet V2 | 5.6 ms | **3.0 ms (46% speed up)** | ### Performance Test #### Performance Test of X86 platform: AMD 5600X, with `-perf_threas=1` |Name of Test|4.x|patch|patch vs 4.x (x-factor)| |---|:-:|:-:|:-:| |Name of Test|4.x 0|fp16pr final|fp16pr final vs 4.x 0 (x-factor)| |---|:-:|:-:|:-:| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|1.00| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|1.03| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.92| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.003|0.95| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.006|0.006|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.045|0.033|1.39| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.011|0.009|1.17| |conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.109|0.078|1.39| |conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.040|0.042|0.94| |conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.326|0.342|0.95| |conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.580|0.589|0.99| |conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.293|1.382|0.94| |conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.590|3.710|0.97| |conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.120|1.191|0.94| |conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.576|2.872|0.90| |conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.599|4.670|0.98| |conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.230|9.582|0.96| |conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|65.946|69.381|0.95| |conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|18.915|19.289|0.98| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.404|1.457|0.96| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|2.060|1.501|1.37| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.409|1.464|0.96| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.793|1.838|0.98| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.207|1.199|1.01| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.277|1.275|1.00| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.319|2.370|0.98| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.351|1.346|1.00| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.520|3.612|0.97| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.876|1.880|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.981|1.995|0.99| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.620|2.627|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.202|4.123|1.02| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.429|2.445|0.99| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.591|2.576|1.01| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|3.005|2.998|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.515|3.532|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.115|3.134|0.99| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|3.937|3.899|1.01| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.533|5.471|1.01| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.472|3.464|1.00| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.302|4.322|1.00| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.100|6.035|1.01| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.580|6.484|1.01| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|9.741|9.634|1.01| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.131|10.156|1.00| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.391|12.350|1.00| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|91.074|87.893|1.04| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|5.903|5.903|1.00| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.890|6.794|1.01| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.160|5.131|1.01| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|4.970|5.036|0.99| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|5.045|5.015|1.01| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.583|11.343|1.02| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.348|5.320|1.01| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.357|5.396|0.99| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.050|6.006|1.01| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|5.952|5.953|1.00| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.014|8.014|1.00| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.472|12.577|0.99| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|10.803|10.655|1.01| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|18.429|13.405|1.37| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.659|6.647|1.00| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.192|13.819|1.03| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.045|6.068|1.00| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.742|12.828|0.99| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.046|7.773|1.04| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.440|17.192|1.01| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.418|14.972|1.03| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.430|0.430|1.00| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.692|6.663|1.00| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.350|6.347|1.00| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.267|0.265|1.01| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.755|7.558|1.03| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.203|0.202|1.00| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.663|10.576|1.01| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.827|10.614|1.02| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.049|6.947|1.01| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|6.900|6.901|1.00| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.165|0.165|1.00| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|17.953|17.251|1.04| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.430|7.320|1.01| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.187|21.705|1.02| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.349|8.126|1.03| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.273|8.297|1.00| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.169|8.094|1.01| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.602|13.359|1.02| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.633|8.584|1.01| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|29.339|28.897|1.02| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|13.000|12.920|1.01| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.262|13.319|1.07| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.453|27.253|1.01| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.052|27.269|1.18| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|15.363|15.208|1.01| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.543|18.434|1.01| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|39.114|37.954|1.03| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.271|36.972|0.98| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.262|19.427|0.99| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.298|19.349|1.00| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.261|19.847|1.02| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.867|21.525|1.02| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.756|49.979|1.04| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|28.133|27.060|1.04| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|25.035|24.980|1.00| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.858|25.821|1.00| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.313|27.149|1.01| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.219|28.111|1.00| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|46.025|46.674|0.99| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|30.220|29.446|1.03| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|49.410|48.708|1.01| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|38.203|38.001|1.01| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|39.961|39.021|1.02| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|48.685|47.075|1.03| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|75.114|72.586|1.03| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.222|41.144|1.00| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.220|46.353|1.00| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.201|98.771|0.99| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|100.106|96.971|1.03| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|146.977|140.445|1.05| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|198.618|194.665|1.02| #### Performance Test of ARM platform: apple M1, with `-perf_threas=1` Min (ms) |Name of Test|4.x|patch|4.x vs patch (x-factor)| |---|:-:|:-:|:-:| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|1.07| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|1.10| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.97| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|0.84| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.009|0.009|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.027|0.030|0.90| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.008|0.007|1.07| |conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.072|0.91| |conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.090|0.054|1.68| |conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.409|0.80| |conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.659|0.697|0.95| |conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.266|1.403|0.90| |conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.550|4.145|0.86| |conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.188|1.375|0.86| |conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.683|3.236|0.83| |conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.491|5.501|0.82| |conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.916|10.181|0.88| |conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.995|72.296|0.97| |conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|22.531|23.139|0.97| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.239|1.933|1.16| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU_FP16)|-|1.010|-| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.134|2.068|1.52| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU_FP16)|-|1.062|-| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.918|1.920|1.00| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU_FP16)|-|1.014|-| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.340|2.352|0.99| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.247|-| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.116|1.111|1.00| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU_FP16)|-|1.114|-| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.116|1.112|1.00| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|1.113|-| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.067|3.085|0.99| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.622|-| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.153|1.187|0.97| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU_FP16)|-|1.150|-| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.804|4.849|0.99| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU_FP16)|-|2.922|-| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.463|1.469|1.00| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.459|-| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.577|1.580|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU_FP16)|-|1.580|-| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.826|1.818|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU_FP16)|-|1.817|-| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|6.541|5.081|1.29| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU_FP16)|-|2.809|-| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.912|1.919|1.00| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU_FP16)|-|1.919|-| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.961|1.971|0.99| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|1.961|-| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.317|2.329|0.99| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU_FP16)|-|2.322|-| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.920|2.947|0.99| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU_FP16)|-|2.924|-| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.467|2.466|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU_FP16)|-|2.496|-| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|3.028|2.997|1.01| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|2.986|-| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.353|4.355|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU_FP16)|-|4.355|-| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.762|2.793|0.99| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|2.797|-| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.428|3.226|1.06| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU_FP16)|-|3.223|-| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|3.967|3.957|1.00| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU_FP16)|-|3.960|-| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|4.806|4.387|1.10| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU_FP16)|-|4.366|-| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.509|11.756|1.23| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|6.510|-| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|13.718|13.287|1.03| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU_FP16)|-|7.190|-| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.133|14.853|1.02| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU_FP16)|-|8.671|-| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|41.928|43.328|0.97| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU_FP16)|-|38.072|-| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.409|4.428|1.00| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|4.427|-| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.144|5.363|1.15| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU_FP16)|-|5.368|-| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|3.926|3.932|1.00| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.938|-| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.920|3.915|1.00| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.950|-| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|3.767|3.764|1.00| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|3.762|-| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|19.959|13.875|1.44| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU_FP16)|-|7.781|-| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|3.951|3.955|1.00| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|3.969|-| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.050|4.034|1.00| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.093|-| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.923|4.506|1.09| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.509|-| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.759|4.476|1.06| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.447|-| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|6.079|5.628|1.08| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU_FP16)|-|5.625|-| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.843|17.523|1.13| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|8.917|-| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.334|8.247|1.01| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU_FP16)|-|8.246|-| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|23.164|18.199|1.27| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|9.305|-| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.184|5.178|1.00| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU_FP16)|-|5.149|-| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.990|18.103|0.99| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|9.777|-| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.831|4.522|1.07| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU_FP16)|-|4.523|-| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.328|17.319|1.00| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|8.948|-| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|5.944|5.961|1.00| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU_FP16)|-|5.936|-| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.811|20.064|0.99| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU_FP16)|-|11.705|-| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.398|17.686|1.27| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU_FP16)|-|9.859|-| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.416|0.416|1.00| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.417|-| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.356|5.110|1.05| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU_FP16)|-|5.114|-| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|5.092|4.748|1.07| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU_FP16)|-|4.754|-| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.260|0.229|1.13| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.229|-| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.872|5.460|1.08| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU_FP16)|-|5.460|-| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.161|0.161|1.00| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.161|-| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.176|7.175|1.00| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|7.162|-| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.174|7.185|1.00| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU_FP16)|-|7.157|-| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.400|5.180|1.04| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.201|-| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.330|5.188|1.03| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.177|-| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.115|0.115|1.00| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|0.115|-| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|26.156|20.222|1.29| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU_FP16)|-|11.203|-| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.627|5.543|1.02| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU_FP16)|-|5.506|-| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.925|27.741|1.01| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU_FP16)|-|17.217|-| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.359|6.062|1.05| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.048|-| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|6.559|6.322|1.04| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU_FP16)|-|6.280|-| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.412|6.200|1.03| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.197|-| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.167|8.624|1.06| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU_FP16)|-|8.626|-| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|6.755|6.491|1.04| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU_FP16)|-|6.520|-| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.664|34.752|1.03| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|20.260|-| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.514|9.414|1.01| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|9.462|-| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.631|9.963|1.07| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|9.935|-| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.465|36.798|1.02| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU_FP16)|-|19.569|-| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|38.157|36.157|1.06| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU_FP16)|-|18.902|-| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.356|10.401|1.00| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|10.360|-| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.641|12.150|1.04| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU_FP16)|-|12.162|-| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.545|50.505|1.00| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|27.950|-| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|54.233|49.603|1.09| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU_FP16)|-|26.515|-| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|13.779|12.968|1.06| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|12.984|-| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|15.809|15.329|1.03| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|15.433|-| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|14.563|14.527|1.00| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|14.480|-| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|16.714|16.484|1.01| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|16.362|-| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.832|65.729|1.18| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU_FP16)|-|32.065|-| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.903|20.386|1.07| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU_FP16)|-|20.416|-| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.405|18.148|1.12| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU_FP16)|-|18.128|-| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.334|18.521|1.10| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|18.495|-| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.527|19.584|1.10| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|19.630|-| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.715|20.057|1.13| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU_FP16)|-|20.068|-| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|26.228|24.992|1.05| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|24.957|-| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.524|21.581|1.00| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|21.782|-| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|34.094|31.964|1.07| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|31.925|-| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|28.677|27.813|1.03| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|27.808|-| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|31.274|27.892|1.12| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|27.910|-| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|30.533|30.007|1.02| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|30.089|-| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|39.837|38.312|1.04| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|38.477|-| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|32.480|29.237|1.11| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU_FP16)|-|29.452|-| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|33.544|32.832|1.02| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU_FP16)|-|32.784|-| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|134.481|130.678|1.03| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU_FP16)|-|70.134|-| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.930|126.530|1.01| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU_FP16)|-|65.261|-| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|201.346|187.007|1.08| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU_FP16)|-|91.525|-| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|252.038|245.587|1.03| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU_FP16)|-|125.477|-| ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-05-17 09:38:33 +03:00
cudawarped	99ef35a353	Videoio: FFMpeg remove locks if OPENCV_FFMPEG_IS_THREAD_SAFE==true	2023-05-17 08:20:46 +03:00
Alexander Smorkalov	05084aa63e	Restored Java bindings for CPU features management.	2023-05-16 18:04:09 +03:00
Maksim Shabunin	001a2c5195	Merge pull request #23606 from mshabunin:fix-ffmpeg-packet-limit ... videoio/FFmpeg: increased packet read attempt limit, allow configuring it resolves #9455 related #3225 * Use different counters for wrong packets recieved by demuxer and errors from decoder * Allow modifying these counters via environment variables `OPENCV_FFMPEG_READ_ATTEMPTS`/`OPENCV_FFMPEG_DECODE_ATTEMPTS` * Added logging when reading breaks at one of error limits Notes: * I've been able to reproduce original issue with a video file with 14 total streams (video + audio + subtitles), at some point in the video only packets from the last stream are being sent by the demuxer, thus exceeding our limit. For my specific video total number of packets from wrong stream was about 2700. I've chosen 4096 as default value. * Default limit of decoding attempts is quite low, because I'm not sure in which cases it can be exceeded (network stream?). I tried to read 8k video from the disk, but it did not cause break at decode point.	2023-05-16 14:31:04 +03:00
Alexander Smorkalov	59ca444b26	Merge pull request #23560 from WanliZhong:eltwise_cuda_bug ... DNN/CUDA: Solve the bug of same shape broadcast with CUDA	2023-05-16 14:16:37 +03:00
Alexander Alekhin	04d71da6e7	Merge pull request #23566 from seanm:atomic-bool	2023-05-16 10:46:59 +00:00
zihaomu	91b6c8507a	remove flag of convolution	2023-05-16 15:29:20 +08:00
Alexander Smorkalov	0800574c12	Merge pull request #23619 from TinyTinni:pixel-info-font-color ... Fixes pixel info color font for dark Qt themes	2023-05-16 09:15:15 +03:00
Matthias Möller	fc43e51331	sets pixel info font colors based on current palette	2023-05-15 17:42:48 +02:00
Dmitry Kurtaev	a8d3d1f6f9	Merge pull request #23604 from dkurt:dnn_no_protobuf ... Build DNN without Protobuf DNN module can be built without Protobuf for Darknet, TFLite, OpenVINO, Torch (not PyTorch) models. ``` cmake \ -DCMAKE_BUILD_TYPE=Release \ -DBUILD_LIST=dnn \ -DWITH_PROTOBUF=OFF \ -DWITH_OPENCL=OFF 7.1M lib/libopencv_dnn.so.4.7.0 ``` ``` cmake \ -DCMAKE_BUILD_TYPE=Release \ -DBUILD_LIST=dnn \ -DWITH_OPENCL=OFF 3.9M lib/libopencv_dnn.so.4.7.0 ``` ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-15 12:23:18 +03:00
wanli	46991bcd62	Solve the bug of same shape broadcast with CUDA	2023-05-15 13:55:38 +08:00
Alexander Smorkalov	85b04f0b4d	Merge pull request #23557 from WanliZhong:eltwise_cpu_bug ... fix nary elementwise bug in cpu	2023-05-11 15:56:46 +03:00
Dmitry Kurtaev	676afdc494	Update FlatBuffers source code to 23.5.9	2023-05-10 14:39:36 +03:00
Giles Payne	a44a6f6c87	Fix issue in Objective-C generator when a class name is a substring of its base class name	2023-05-10 15:34:25 +09:00
wanli	85cc4086c8	fix nary elementwise bug in cpu	2023-05-10 14:29:33 +08:00
vovka643	d6dc91b4d4	Added depricated_backends list. Added new information masseges. It needs to inform user, when he tries to use depricated or not uses backend	2023-05-05 14:22:18 +03:00
Alexander Smorkalov	25c28c5da4	Merge pull request #23485 from zihaomu:add_onnx_where ... DNN: add ONNX where node support	2023-05-05 09:21:07 +03:00
zihaomu	0513741a85	add broadcast where node	2023-05-05 11:16:19 +08:00
Alexander Smorkalov	351589e5fb	Merge pull request #23491 from fengyuentau:patch_for_segment_anything ... Fixes for Segment Anything	2023-05-04 21:07:58 +03:00
kallaballa	a2be9e9fc1	Log a debug message if a capture backend is generally available but isn't capabable of a capture mode.	2023-05-04 19:18:58 +03:00
Stefan Becker	e55784a1e8	ChArUco pre460 pattern support	2023-05-04 16:59:04 +03:00
n0099	868787c364	Merge pull request #23342 from n0099:#23335 ... Improve document of cv::RotatedRect for #23335 #23342 fix #23335 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-03 14:15:53 +03:00
Sean McBride	27e10efa66	Use std::atomic<bool> as it's necessary for correct thread safety ... Now that C++11 is required, we can unconditionally use std::atomic in this case, which is more correct.	2023-05-01 16:44:34 -04:00
Alexander Alekhin	3c76b33532	Merge pull request #22614 from zihaomu:add_std2DB_API	2023-05-01 19:37:23 +00:00
Maxim Smolskiy	658f18c713	Fix function name in comment	2023-04-30 17:30:01 +03:00
zihaomu	8be93a6de7	add scale factor to DB demo.	2023-04-30 22:03:21 +08:00
Pierre Chatelier	6dd8a9b6ad	Merge pull request #13879 from chacha21:REDUCE_SUM2 ... add REDUCE_SUM2 #13879 proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements	2023-04-28 20:42:52 +03:00
Laurent Berger	23b819efb8	Merge pull request #23555 from LaurentBerger:doc_format ... don't ignore documentation for cv::format in doxygen #23555 Issue https://github.com/opencv/opencv/issues/23553 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work issue - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-28 15:24:07 +03:00
Alexander Smorkalov	9161e40aa0	Merge pull request #23529 from dmatveev:dm/gapi_onnx_rt_1.14.1 ... Bump supported ONNX RT version to 1.14.1	2023-04-28 15:19:06 +03:00
Onuralp Sezer	5ccb4e0487	Merge pull request #23447 from onuralpszr:gradle80_namespace ... AGP 8.0 build.gradle namespace and aidl buildFeature requirement added #23447 Hello, Android Gradle Plugin version 8.0 is asking for namespace. This is become mandatory and after I update my AGP to 8.0, I got this error ``` Namespace not specified. Please specify a namespace in the module's build.gradle file like so: android { namespace 'com.example.namespace' } If the package attribute is specified in the source AndroidManifest.xml, it can be migrated automatically to the namespace value in the build.gradle file using the AGP Upgrade Assistant; please refer to https://developer.android.com/studio/build/agp-upgrade-assistant for more information. ``` This change fix this future releases. However I am not sure how opencv wants to user namespace I used "org.opencv" if there is a different namespace please let me know so I can changed that too. Also should I add namepsace into "opencv/modules/java/android_sdk/android_gradle_lib/build.gradle" here ? ### Sources Android developer link: https://developer.android.com/studio/preview/features#namespace-dsl Issue Tracker Google: https://issuetracker.google.com/issues/191813691?pli=1#comment19 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-04-28 13:41:39 +03:00
Alexander Smorkalov	6dbc5e032f	Merge pull request #23545 from Abdurrahheem:tests_lstm_init_no_hidden_states ... Added test for LSTM without hidden state initialisation	2023-04-27 16:27:42 +03:00
Alexander Smorkalov	af1c63c0a0	Merge pull request #23138 from AleksandrPanov:aruco_fix_matchImagePoints ... fix charuco matchImagePoints	2023-04-27 13:55:46 +03:00
Alex	4ba06c3ed0	fix charuco matchImagePoints	2023-04-27 12:05:09 +03:00
Alexander Alekhin	46e2b67ecb	Merge pull request #23502 from seanm:sprintf3	2023-04-26 19:40:14 +00:00
Sean McBride	58e4a880a2	Deprecated convertTypeStr and made new variant that also takes the buffer size ... This allows removing the unsafe sprintf.	2023-04-26 09:48:15 -04:00
Abduragim Shtanchaev	3b1ee0549b	added test for lstm without hidden ... states initialization	2023-04-25 16:01:13 +03:00
cudawarped	871f931e95	VideoCapture: apply bitstream filter to all h264/5 raw streams	2023-04-25 13:52:28 +03:00
Alexander Smorkalov	e3e1f704a4	Merge pull request #23528 from WanliZhong:issue23278 ... DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda	2023-04-24 19:31:55 +03:00
Giles Payne	38e35d5137	Fix ocl::device::isIntel implementation	2023-04-24 22:01:53 +09:00
Dmitry Kurtaev	aa57833ad5	Merge pull request #23409 from dkurt:dnn_tflite_quant ... Import and inference INT8 quantized TFLite model #23409 ### Pull Request Readiness Checklist * Support quantized TFLite models * Enable fused activations (FP32, INT8) **Merge with extra**: https://github.com/opencv/opencv_extra/pull/1048  on the image, green boxes are from TFLite and red boxes from OpenCV See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-24 13:44:10 +03:00
Abduragim Shtanchaev	e4e774d42b	Merge pull request #23475 from Abdurrahheem:lstm_fix_initialization ... Fix ONNX parser for single-layer LSTM hidden and cell states #23475 ### Fix ONNX parser for single-layer LSTM hidden and cell states ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states.	2023-04-24 13:39:41 +03:00
Alexander Smorkalov	a4a9f56c8b	Merge pull request #23513 from komakai:fix_unrecognized_selector ... Fix "unrecognized selector" issue in Objective-C/Swift bindings	2023-04-24 11:29:41 +03:00
wanli	e4360294c5	make 'abcd op 1b11' broadcast support cuda	2023-04-23 17:46:50 +08:00
Dmitry Matveev	1d02146810	Bump supported ONNX RT version to 1.14.1 ... - Existing tests pass with the ONNX models mentioned in tests.	2023-04-22 20:15:40 +00:00
Alexander Alekhin	9ab0ff6cf2	Merge pull request #23511 from zihaomu:issue_23465	2023-04-22 04:01:26 +00:00
Zihao Mu	601778e0e6	Merge pull request #22750 from zihaomu:improve_blobFromImage ... DNN: Add New API blobFromImageParam #22750 The purpose of this PR: 1. Add new API `blobFromImageParam` to extend `blobFromImage` API. It can support the different data layout (NCHW or NHWC), and letter_box. 2. ~~`blobFromImage` can output `CV_16F`~~ ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-04-21 19:10:17 +03:00
Alexander Smorkalov	e4a29d93fe	Merge remote-tracking branch 'origin/3.4' into merge-3.4	2023-04-21 10:55:04 +03:00
zihaomu	54e1a8709d	fix the bug, disable the fast1x1 when padding is not 0.	2023-04-21 10:55:07 +08:00
Alexander Smorkalov	4c06a721ef	Merge pull request #23503 from seanm:issue13729 ... Fixed undefined left shifting of negative number	2023-04-20 12:10:04 +03:00
Alexander Smorkalov	3113b49159	Merge pull request #23495 from smeng9:4.x ... Fix aruco module CORNER_REFINE_CONTOUR parameter gets skipped	2023-04-20 12:02:43 +03:00
Yuantao Feng	3c1fcd5deb	Merge pull request #23401 from fengyuentau:fix_cann_layer_support ... dnn: Support more operators in CANN backend #23401 This PR adds the support of following layers: - [x] Sub - [x] PRelu - [x] DeConv - [x] Also warn users if backend is switched back to default if some of the layers are not supported. - [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-20 10:18:35 +03:00
Abduragim Shtanchaev	b3a2444bcf	Merge pull request #23501 from Abdurrahheem:additional_lstm_tests ... Added LSTM and GRU tests for various batch and input length sizes #23501 Added tests with various sequence length and batch sizes Test data: https://github.com/opencv/opencv_extra/pull/1057 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-20 10:11:33 +03:00
Giles Payne	cfa5a270d3	Refactor Mat Converters and Mat QuickLook functionality to avoid "unrecognized selector" error	2023-04-18 21:09:55 +09:00
Milan van Wouden	a7c6fedebd	Fix typos in aruco_detector.hpp ... "corresponging" -> "corresponding" "Refind" -> "Refine"	2023-04-18 14:00:21 +02:00
Alexander Smorkalov	b68aa12572	Merge pull request #23375 from mshabunin:fix-v4l-verify ... cmake: fix V4L config verification conflict with OBSENSOR	2023-04-18 13:05:04 +03:00
Sean McBride	47bea69322	Merge pull request #23055 from seanm:sprintf2 ... * Replaced most remaining sprintf with snprintf * Deprecated encodeFormat and introduced new method that takes the buffer length * Also increased buffer size at call sites to be a little bigger, in case int is 64 bit	2023-04-18 09:22:59 +03:00
Sean McBride	aa2fabcba5	Fixed undefined left shifting of negative number ... Added explicit cast to unsigned before doing the left shift. This was caught by UBSan which reported things like: drawing.cpp:361:22: runtime error: left shift of negative value -26214 drawing.cpp:383:22: runtime error: left shift of negative value -78642	2023-04-17 15:39:37 -04:00
keith siilats	8512deb3cc	Merge pull request #23436 from siilats:patch-2 ... Fix python bindings for setCharucoParameters #23436 setCharucoParameters fails in python Fixes: https://github.com/opencv/opencv/issues/23440 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-17 13:02:27 +03:00
smeng9	a788cc526b	Fix skipped corner refinment branching logic	2023-04-15 20:48:05 +08:00
Alexander Smorkalov	aa17f881b1	Merge pull request #23482 from zihaomu:onnx_opset13_split ... DNN: support the split node of onnx opset >= 13	2023-04-14 11:59:57 +03:00
fengyuentau	4f99e5ab37	allow null constant_value in Pad and ignore it when loading	2023-04-14 16:50:16 +08:00
fengyuentau	88cacd35c5	support broadcast on axis > 1 for Expand	2023-04-14 15:52:27 +08:00
Gaotianhong	f1dbc7d724	fix warning in pointPolygonTest	2023-04-13 13:13:27 +08:00
thewoz	097891e311	Merge pull request #23394 from thewoz:Cocoa-Scroll-Wheel ... Add scrollWheel to Cocoa #23394 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-04-12 10:32:46 +03:00
Alexander Smorkalov	1af084cb65	Merge pull request #23477 from TolyaTalamanov:at/handle-multimeta-giebackend ... [G-API] Handle meta from multiple inputs in IE backend	2023-04-12 10:17:59 +03:00
Alexander Smorkalov	136121f6ee	Merge pull request #22660 from zhouzq-thu:4.x ... Fix objectness is not assigned in dnn::region_layer	2023-04-12 09:34:58 +03:00
TolyaTalamanov	66abbf4122	Compilation fix	2023-04-11 10:33:42 +00:00
TolyaTalamanov	0f984ea0f0	Handle const inputs descs in giebackend	2023-04-11 10:25:52 +00:00
Alexander Smorkalov	3f02c9d5b9	Merge pull request #23310 from hanliutong:fix_hal_compatibility ... Fix HAL compatibility layer	2023-04-11 12:43:54 +03:00
Yuantao Feng	4f77434da1	Merge pull request #23476 from fengyuentau:add_note_for_yunet ... Add notes for the output format of FaceDetectorYN.detect() Resolves https://github.com/opencv/opencv/pull/23020#issuecomment-1499010015 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-11 12:39:21 +03:00
zihaomu	51281f8d69	support the split node of onnx opset >= 13	2023-04-11 16:18:50 +08:00
Kumataro	d2dbaa4cd1	Merge pull request #23433 from Kumataro:4.x-fix23416 ... imgcodecs: tiff: Support to encode for CV_32S with compression params Fix https://github.com/opencv/opencv/issues/23416 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-04-11 10:50:47 +03:00
Alexander Alekhin	f9ce3f4b91	Merge pull request #23469 from gottagofaster236:use_nv12_for_obs_camera	2023-04-10 13:39:15 +00:00
Alexander Alekhin	daf9de7463	Merge pull request #23383 from mshabunin:rvv-scalable-gcc	2023-04-10 13:35:43 +00:00
TolyaTalamanov	8a95f4f0e6	Handle meta for multiple infer inputs	2023-04-10 09:54:26 +00:00
gottagofaster236	d30830d0a6	Use NV12 instead of YUY2 for OBS Virtual Camera.	2023-04-09 01:56:03 +02:00
Alexander Smorkalov	f5a92cb43f	Merge pull request #22889 from D-Alex:patch-1 ... core: improve doc for setNumThreads	2023-04-07 16:37:40 +03:00
Alexander Smorkalov	3bcc3e70f1	Extended setNumThreads documentation according to code review.	2023-04-07 13:56:57 +03:00
eplankin	fd8b346c3e	Merge pull request #23443 from eplankin:3.4 ... * Update IPPICV binaries (20230330) * Revert "core(IPP): disable some ippsMagnitude_32f calls" This reverts commit 8069a6b4f8. * Reverted changes in norm() and count_non_zero()	2023-04-07 09:14:42 +00:00
Alexander Smorkalov	ce01123db2	Merge pull request #23020 from Wwupup:yunetv2 ... upgrade FaceDetectorYN to v2	2023-04-06 15:47:19 +03:00
Yuantao Feng	3a83a35ab0	Merge pull request #23296 from fengyuentau:fix_identifying_constant ... Fix identifying initializers in ONNX graph simplification #23296 Fixes https://github.com/opencv/opencv/issues/23295 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-06 15:35:31 +03:00
tantei3	8336a96cb9	Merge pull request #23446 from tantei3:bmp_fix ... **Merge with extra**: https://github.com/opencv/opencv_extra/pull/1050 For 32 bits per pixel with 3 or 4 channel destination images, apply scale factor and mask to parse BMP files correctly closes #23445 ### Pull Request Readiness Checklist - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-04-06 14:34:36 +03:00
Maksim Shabunin	b12c14514a	RISC-V: allow building scalable RVV support with GCC, LLVM 16 support	2023-04-05 14:18:58 +03:00
gottagofaster236	b4e3359448	Fix OBS Virtual Camera capture.	2023-04-05 08:04:35 +02:00
Alexander Smorkalov	2b32eee3f4	Merge pull request #23451 from Zero2key:4.x ... add opencv.js imread function can use OffscreenCanvas	2023-04-04 11:05:53 +03:00
Alexander Smorkalov	51f5ee6f19	Merge pull request #23448 from dmatveev:dm/gapi_fix_standalone_47 ... G-API: Fix compilation error in Standalone mode	2023-04-03 14:21:31 +03:00
Alexander Smorkalov	66a5ecb7ec	Merge pull request #23350 from spikethehobbitmage:4.x ... Fix reference counting errors in registerNewType	2023-04-03 14:08:32 +03:00
Zero2key	4e050e85ad	add opencv.js imread function can use OffscreenCanvas	2023-04-03 10:33:20 +08:00
Dmitry Matveev	3871984028	G-API: Fix compilation error in Standalone mode ... - Point3f was added to type traits but was missing in the "own" package; fixed.	2023-04-02 17:52:53 +03:00
Alexander Smorkalov	20eee64426	Merge pull request #23390 from just-gull:bugfix.21401.fix-macos-crash-when-keypress-does-nothing ... check keydown event characters length on macos	2023-04-02 12:29:55 +03:00
Alexander Smorkalov	d8c80ff5a4	Merge pull request #23419 from dkurt:onnx_fixes ... Several fixes for ONNX importer: Expand, Gather	2023-04-02 11:40:56 +03:00
Alexander Smorkalov	3cf367c9c4	Merge pull request #23271 from stefan523:aruco_testcase_fixes ... Aruco/Charuco test case fixes for floating point for loops	2023-03-30 11:22:14 +03:00
Alex	c643af0b85	fix test	2023-03-29 15:29:56 +03:00
Dmitry Kurtaev	5e1d33329b	Several fixes for ONNX importer: Expand, Gather	2023-03-27 22:15:26 +03:00
HAN Liutong	a809ae4e88	Fix HAL compatibility layer and modify use cases.	2023-03-27 21:30:47 +08:00
Kumataro	1c6c3dfa8d	remove tail whitespace	2023-03-26 18:33:54 +09:00
Kumataro	83a49b4f6a	imgcodecs: update documentation for imwrite() to support images formats.	2023-03-26 09:03:16 +09:00
Alexander Smorkalov	352f92e437	Merge pull request #23402 from LaurentBerger:I23400 ... Typo in enum cv::QuatEnum::EulerAnglesType	2023-03-24 18:11:48 +03:00
Alexander Smorkalov	f5fd3e7d65	Merge pull request #23367 from LaurentBerger:msmf_doc ... Note for MSMF in doc	2023-03-24 17:16:52 +03:00
unknown	ee302b063f	Typo in enum cv::QuatEnum::EulerAnglesType	2023-03-24 14:03:14 +01:00
Alexander Smorkalov	d7dd014a6e	Merge pull request #23399 from AleksandrPanov:aruco_fix_board ... Fix create aruco Board in Python	2023-03-24 15:38:53 +03:00
Alexander Smorkalov	b56a52c49b	Merge pull request #22471 from anna-khakimova:ak/fix_resize4lpi_tests ... Increasing tolerance for Preproc4lpiTest set on ARM	2023-03-24 15:31:48 +03:00
Anna Khakimova	0bb84096a2	Fix tolerance for Preproc4lpiTest set	2023-03-24 14:20:22 +03:00
Alexander Smorkalov	36a03dbdbf	Merge pull request #23307 from alalek:simd_comparison_fix_misused_64f_guard ... core(simd): 64-bit integer EQ/NE without misused 64F guard	2023-03-24 12:46:18 +03:00
Alex	02bdc10062	fix assert, add test	2023-03-24 11:52:05 +03:00
Alexander Smorkalov	d3cc507380	Added reference to Media Foundation.	2023-03-23 16:58:22 +03:00
Alexander Smorkalov	1af790ecc3	Merge pull request #23388 from simonlynen:patch-2 ... Make LineSegmentDetector deterministic by using stable_sort	2023-03-23 16:18:29 +03:00
Alexander Smorkalov	8c64adb000	Merge pull request #23019 from tkram01:sampleIdxFix ... Fix for using sampleIdx to limit training data	2023-03-22 11:59:34 +03:00
Sergey Petrenko	6ffe686ba8	check keydown event characters length before returning the pressed character code	2023-03-22 10:24:22 +03:00
tkram01	ea7efd57d8	Fix for using sampleIdx to limit training data	2023-03-22 09:50:58 +03:00
Christian Henkel	c9e42c5050	two typos	2023-03-22 09:17:41 +03:00
Simon Lynen	6033599c88	Make LineSegmentDetector deterministic by using stable_sort for ordering keypoints prior to region growing ... This makes LineSegmentDetector deterministic by using stable_sort for ordering points by norm. Without this change the region growing in LSD is non-determinstic and thus the returned lines are changing between invocations. This is a replacement for https://github.com/opencv/opencv/pull/23370	2023-03-22 04:12:51 +01:00
Alexander Smorkalov	a4ff46aab7	Merge pull request #23250 from tintou:./tintou/glib-req ... highgui: Set hard GLib requirement to >=2.32	2023-03-21 15:22:34 +03:00
Alexander Smorkalov	e6bd4c9f85	Merge pull request #23275 from genciberisha:bug/issue-23249_detected_but_not_decoded_bug ... Added QR_Code data flip support, flip and retry after first ECC failure	2023-03-21 15:03:30 +03:00
Alexander Smorkalov	0d082ce6fd	Merge pull request #23344 from anderskiaer:singlefilejs ... Add possibility for disabling inlining `wasm` in `opencv.js`	2023-03-21 15:01:52 +03:00
Dmitry Kurtaev	5df6b4a756	Merge pull request #23325 from dkurt:dnn_input_info ... Propagate inputs info for ONNX and TFLite models ### Pull Request Readiness Checklist Needed for generic applications such as benchmarking pipelines. So OpenCV can tell about the default input shapes specified in the models. See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-03-21 14:50:53 +03:00
ippei.i	a60408cda5	Merge pull request #23300 from ippei-i:CAP_PROP_AUTO_WB-and-CAP_PROP_WHITE_BALANCE_BLUE_U_support_in_CAP_DSHOW ... Support VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [OK] I agree to contribute to the project under Apache 2 License. - [OK] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [OK] The PR is proposed to the proper branch - [OK] There is a reference to the original bug report and related work https://github.com/opencv/opencv/issues/19621 https://github.com/opencv/opencv/issues/21408 ### Before apply this pull request console output. before AWB setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 after AWB disable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 after AWB enable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 after Manual WB(and Disable AWB) setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 ### After apply this pull request console output. before AWB setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: 0 after AWB disable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 4000 CAP_PROP_AUTO_WB: 0 after AWB enable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 4000 CAP_PROP_AUTO_WB: 1 after Manual WB(and Disable AWB) setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: 0 ### Test Code [OpenCvVideoCapTest.zip](https://github.com/opencv/opencv/files/10825399/OpenCvVideoCapTest.zip)	2023-03-21 14:29:24 +03:00
Wwupup	da3a4dcbc1	upgrade FaceDetectorYN to v2	2023-03-21 12:41:02 +08:00
Genci Berisha	a1b4aa5e88	Added QR_Code data flip support, flip and retry after first EEC failure ... Added regression test for the flipped images	2023-03-20 14:26:11 +01:00
Labib Asari	c4226f0457	Merge pull request #23196 from labeeb-7z:printOptionInRoiSelector ... Added argument to print notice in `roiSelector.cpp` Related Issue : https://github.com/opencv/opencv/issues/23175 I've added a printNotice argument to `selectROI` (and it's overload) and `selectROIs` functions. I've also updated the function declarations in `highgui.hpp`. Tested by building locally. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-03-20 10:06:57 +03:00
Maksim Shabunin	aef1fc087d	cmake: fix V4L config verification conflict with OBSENSOR	2023-03-19 10:58:47 +03:00
unknown	a2e04718ec	te for MSMF in doc	2023-03-17 13:36:47 +01:00
Alexander Smorkalov	924a65413a	Merge pull request #23357 from zihaomu:fix_winograd_error_32bit ... DNN : fix bug in 32 bit cpu	2023-03-15 11:24:54 +03:00
zihaomu	6bac5453d1	fix bug in 32 bit cpu	2023-03-15 08:24:55 +08:00
Alexander Smorkalov	ccbc784195	Merge pull request #23354 from zihaomu:issue_23351 ... DNN : fix bug in layer fusion	2023-03-14 17:23:25 +03:00
Vladimir Ponomarev	b204c39815	Merge pull request #23276 from vovka643:flann_corrections ... Fixed potential memory leak in flann Issue #22426 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-03-14 15:00:44 +03:00
zihaomu	386be97ce2	fix bug in layer fusion	2023-03-14 19:06:06 +08:00
tingbo.liao	7d032de7e8	Fix bugs of test case failure ... 4 failed tests in open_test_dnn listed below: * Test_Caffe_layers.Conv_Elu/0, where GetParam() = OCV/CPU * Test_ONNX_layers.ConvResizePool1d/0, where GetParam() = OCV/CPU * Test_TensorFlow_layers.tf_reshape_nhwc/0, where GetParam() = OCV/CPU * Test_Torch_layers.net_inception_block/0, where GetParam() = OCV/CPU In winofunc_AtXA_8x8_f32 and winofunc_BtXB_8x8_f32 implementation, incorrect input parameters cause tests failure. Add four new different variables for the last four input parameters of v_transpose4x4 to fix bugs, and update related comments. Signed-off-by: tingbo.liao <tingbo.liao@starfivetech.com>	2023-03-14 17:05:19 +08:00
Alexander Smorkalov	de2f7666fb	Merge pull request #23260 from tintou:tintou/gtk-reduce-diff ... highgui: Reduce the difference between GTK+2 and GTK+3 version	2023-03-14 09:11:53 +03:00
Spike	95f087cd0b	Fix reference counting errors in registerNewType	2023-03-13 23:22:57 -06:00
Alexander Smorkalov	22a52766dc	Merge pull request #23343 from zihaomu:fix_test_onnx_conf ... DNN Test ONNX: Fix the logic of the test case	2023-03-13 21:48:41 +03:00
Yuantao Feng	b94e13c8ae	Merge pull request #23319 from fengyuentau:fix_zoo_issue_136 ... Related issue: https://github.com/opencv/opencv_zoo/issues/136 Features added: - Support operators with multiple output: ONNX Split. - Support Slice without steps. Bugs fixed: - Wrong settings in ClipByValue (Relu6). - Wrong calculation of pads in convolution layer (It is wrong generally but only fixed specifically for CANN for now). ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-03-13 21:46:33 +03:00
zihaomu	ee3740af00	move global skip out of if loop, and add opencv_deny_list	2023-03-13 22:16:51 +08:00
Alexander Smorkalov	9f2182abbb	Merge pull request #23261 from vovka643:3.4 ... Remove separator between trackbars.	2023-03-13 13:51:56 +03:00
anderskiaer	6c763e1ea5	Add possibility for disabling inlining wasm in opencv.js	2023-03-11 21:03:18 +01:00
Zihao Mu	e03e2e7f94	Merge pull request #23192 from zihaomu:clean_up_SIMD_code ... ### Purpose of this PR: - Move all dispatch and SIMD code of `convolution layer` into `simd.hpp` file. - Support Winograd at AVX-only machine. - Re-name the folder from `fast_conv` to `cpu_kernels`. In the future, we can put other layers of CPU optimization into it, like `GEMM` or `MatMul`. ## Performance Test Since this patch just focuses on the code style, the performance is expected as the same as before. Test with the following script: `./bin/opencv_perf_dnn '--gtest_filter=*conv*' --gtest_output="xml:../1-0th.xml" --perf_threads=1` ### Test on X86 platform Min (ms) |Name of Test|4.x | patch | 4.x vs patch (x-factor)| |---|:-:|:-:|:-:| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.98| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.95| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.97| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.002|1.04| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.002|0.002|0.94| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.040|0.044|0.93| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.010|0.010|1.00| |conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.106|0.103|1.03| |conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.041|0.040|1.03| |conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.340|0.329|1.03| |conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.590|0.567|1.04| |conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.374|1.314|1.05| |conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.715|3.528|1.05| |conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.181|1.166|1.01| |conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.689|2.587|1.04| |conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.754|4.500|1.06| |conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.612|9.112|1.05| |conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.000|64.676|1.07| |conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|20.248|18.451|1.10| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.395|1.392|1.00| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|1.990|1.984|1.00| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.393|1.360|1.02| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.813|1.744|1.04| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.190|1.191|1.00| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.286|1.284|1.00| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.295|2.279|1.01| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.322|1.331|0.99| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.784|3.533|1.07| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.838|1.844|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.957|1.959|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.596|2.573|1.01| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.183|4.083|1.02| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.413|2.406|1.00| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.538|2.546|1.00| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.972|2.980|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.452|3.464|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.082|3.105|0.99| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.043|3.919|1.03| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.538|5.531|1.00| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.393|3.418|0.99| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.325|4.234|1.02| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.009|5.908|1.02| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.557|6.376|1.03| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|10.114|9.472|1.07| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.373|9.879|1.05| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.782|11.624|1.10| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|90.931|90.552|1.00| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|6.091|5.818|1.05| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|7.083|6.643|1.07| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.054|5.059|1.00| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|5.005|4.931|1.02| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.951|5.065|0.98| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.957|11.293|1.06| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.328|5.250|1.01| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.544|5.292|1.05| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.186|5.893|1.05| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|6.153|5.834|1.05| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.154|8.107|1.01| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.699|12.256|1.04| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|11.355|11.217|1.01| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.062|17.814|1.07| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.820|6.531|1.04| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.502|13.483|1.08| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.270|6.123|1.02| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|13.173|12.451|1.06| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.326|7.652|1.09| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.605|16.465|1.07| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.675|14.771|1.06| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.420|0.423|0.99| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.788|6.491|1.05| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.456|6.168|1.05| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.263|0.261|1.01| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.690|7.398|1.04| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.200|0.202|0.99| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.542|10.464|1.01| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.876|10.728|1.01| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.194|6.768|1.06| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|7.099|6.731|1.05| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.147|0.162|0.91| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|18.558|17.141|1.08| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.641|7.219|1.06| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.666|20.999|1.08| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.523|7.921|1.08| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.514|8.109|1.05| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.300|7.878|1.05| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.403|13.131|1.02| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.920|8.357|1.07| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|28.827|27.616|1.04| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|12.895|12.670|1.02| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.120|13.078|1.08| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.541|27.582|1.00| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.367|31.140|1.04| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.934|14.910|1.00| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.289|18.491|0.99| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|37.857|36.845|1.03| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.402|36.566|1.02| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.031|19.164|0.99| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.019|19.135|0.99| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.077|19.400|1.03| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.883|21.302|1.03| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.288|49.851|1.03| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|27.349|28.359|0.96| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|24.915|25.130|0.99| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.488|25.899|0.98| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.346|27.390|1.00| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.033|28.301|0.99| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|50.216|49.970|1.00| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|29.670|29.513|1.01| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|50.565|49.634|1.02| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|37.900|37.814|1.00| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|41.367|39.742|1.04| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|49.128|50.350|0.98| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|79.643|80.645|0.99| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.439|40.895|1.01| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.504|46.220|1.01| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.086|96.842|1.01| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|102.447|97.299|1.05| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|145.047|144.996|1.00| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|206.104|195.543|1.05| ### Test on M1(ARM) platform |Name of Test|4.x|patch|4.x vs patch (x-factor)| |---|:-:|:-:|:-:| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.97| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.94| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.92| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.003|0.003|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.031|0.031|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.009|0.009|1.00| |conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.066|1.01| |conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.102|0.102|1.00| |conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.328|1.00| |conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.693|0.747|0.93| |conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.268|1.266|1.00| |conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.530|3.581|0.99| |conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.186|1.188|1.00| |conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.682|2.683|1.00| |conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.490|4.501|1.00| |conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.914|8.938|1.00| |conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.819|69.876|1.00| |conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|24.058|22.420|1.07| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.240|2.236|1.00| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.132|3.136|1.00| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.920|1.919|1.00| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.343|2.346|1.00| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.234|1.116|1.11| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.109|1.121|0.99| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.197|3.084|1.04| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.123|1.148|0.98| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.836|5.061|0.96| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.535|1.463|1.05| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.756|1.584|1.11| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.821|1.820|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|7.049|6.672|1.06| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.967|1.922|1.02| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.943|1.977|0.98| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.464|2.310|1.07| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.860|2.904|0.98| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.428|2.483|0.98| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|2.955|2.983|0.99| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.328|4.484|0.97| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.712|2.778|0.98| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.205|3.331|0.96| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|4.193|4.412|0.95| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|5.026|4.565|1.10| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.490|14.213|1.02| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|14.886|14.003|1.06| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.923|15.184|1.05| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|45.136|41.696|1.08| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.995|4.631|1.08| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.402|6.261|1.02| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.478|3.965|1.13| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.908|3.978|0.98| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.176|4.206|0.99| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|21.509|21.136|1.02| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.426|4.082|1.08| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.098|4.289|0.96| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.646|5.105|0.91| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.746|4.724|1.00| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|5.614|5.779|0.97| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|21.909|20.718|1.06| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.256|8.290|1.00| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|25.196|23.267|1.08| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.721|5.172|1.11| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.066|18.322|1.10| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.448|4.542|0.98| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.193|19.013|1.01| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|6.009|5.964|1.01| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.169|20.009|1.01| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.584|23.423|0.96| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.372|0.504|0.74| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.426|5.456|0.99| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|4.945|5.221|0.95| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.210|0.261|0.81| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.720|5.997|0.95| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.149|0.161|0.93| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.154|7.225|0.99| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.184|7.223|0.99| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.324|5.343|1.00| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.114|5.238|0.98| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.111|0.121|0.92| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|25.907|26.804|0.97| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.695|5.654|1.01| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.435|27.566|1.00| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.944|6.164|1.13| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|7.180|6.717|1.07| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.817|6.050|1.13| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.225|8.660|1.07| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|7.496|6.625|1.13| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.520|36.056|0.99| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.990|9.702|1.03| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.517|10.746|0.98| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.702|36.731|1.00| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|41.035|38.280|1.07| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.981|10.573|1.04| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.863|12.384|1.04| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.437|54.088|0.93| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|50.650|50.635|1.00| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.696|14.606|1.01| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.201|15.426|1.05| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.061|14.292|1.12| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|17.743|18.250|0.97| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.909|78.165|1.00| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.579|21.879|0.99| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.424|19.589|1.04| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.389|19.461|1.00| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.319|20.358|1.05| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.609|21.826|1.04| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|25.497|25.789|0.99| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.966|22.108|0.99| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|35.883|33.470|1.07| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|31.041|29.314|1.06| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|29.922|28.145|1.06| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|31.624|31.148|1.02| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|38.564|39.164|0.98| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|31.502|30.269|1.04| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|34.248|34.589|0.99| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|130.211|134.120|0.97| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.490|132.874|0.96| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|199.834|200.081|1.00| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|247.346|247.523|1.00| ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake ``` force_builders=Linux AVX2,Custom Win build_image:Custom Win=msvs2019 CPU_BASELINE:Custom Win=AVX512_SKX ```	2023-03-10 11:59:49 +03:00
Alexey Shtern	c6e5f60525	Merge pull request #23301 from shtern:fix_quaternion ... Fixed strict type in slerp and spline; Fixed nlerp usage condition Fixes #23293 The PR is fixing the issue described in [Issue #23293 ](https://github.com/opencv/opencv/issues/23293) - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [X] The feature is well documented and sample code can be built with the project CMake	2023-03-10 11:37:43 +03:00
Alexander Smorkalov	29cc675375	Merge pull request #23268 from VadimLevin:dev/vlevin/bindings-io-arg-modifiers-fix ... fix: remove extra '/O' modifier for '/IO' arguments	2023-03-10 11:05:03 +03:00
Bhavit Patel	7ea6b356c7	Merge pull request #23305 from bhavitp:fix/calib3d/undistortion_grid ... Resolves https://github.com/opencv/opencv/issues/23304 Fixes the incorrect pixel grid Switches type to double to avoid precision loss as all callers use doubles ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [X] The feature is well documented and sample code can be built with the project CMake	2023-03-10 09:50:36 +03:00
Vincent Rabaud	8ad8ec679f	Merge pull request #22441 from vrabaud:hls_while ... In case of huge (and probably invalid) input, make sure we do not rely only on the while loops for truncation. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch	2023-03-07 15:05:38 +03:00
Alexander Alekhin	0052d46b8e	Merge pull request #23237 from hzcyf:feature/orbbec_femto_mega_support	2023-03-01 07:13:22 +00:00
Corentin Noël	a035608100	highgui: Reduce the difference between GTK+2 and GTK+3 version ... Make the GTK+3 API the default one by wrapping the missing GTK+2 functions in defines Make sure to always guard with GTK_VERSION2 or GTK_VERSION3 to allow future addition of Gtk4	2023-02-28 00:48:39 +01:00
Alexander Alekhin	fe59a5695f	core(simd): 64-bit integer EQ/NE without misused 64F guard	2023-02-27 19:51:55 +00:00
Alexander Alekhin	9eb5e39ff3	dnn(tflite): fix wrong axis normalization	2023-02-21 21:20:37 +00:00
Alexander Alekhin	5a227352b4	Merge pull request #23274 from alalek:dnn_flatbuffers_builtin	2023-02-21 18:42:49 +00:00
Alexander Alekhin	bdff0949bb	dnn(tflite): add 3rdparty flatbuffers with pre-generated schema	2023-02-21 16:06:19 +00:00
Alexander Alekhin	4262127854	Merge pull request #23246 from mshabunin:rvv07-support	2023-02-20 18:06:30 +00:00
Vadim Pisarevsky	ca48e217f1	fixed another SIFT constructor (#23272)	2023-02-18 00:07:45 +03:00
Vadim Pisarevsky	f48939c2d7	temporarily set "enable_precise_upscale=false" by default to avoid sporadic failures in regression tests (#23270)	2023-02-17 18:57:38 +03:00
Stefan Becker	39e2ebbde4	Aruco/Charuco test case fixes for floating point for loops	2023-02-17 16:45:18 +01:00
Maksim Shabunin	903ec0ec60	RISC-V: support RVV 0.7 in mainline RVV intrinsics	2023-02-17 18:17:11 +03:00
Zihao Mu	20dac7ea48	Merge pull request #23255 from zihaomu:fused_cuda_naryeltwise ... DNN: fuse conv+naryEletwise on CUDA backend.	2023-02-17 10:18:13 +00:00
Vadim Levin	642942a72f	fix: remove extra '/O' modifier for '/IO' arguments	2023-02-17 13:07:28 +03:00
Vaclav Vavra	923dbcc58f	different interpolation by double image (#23124) ... * different interpolation by double image * fixing scaling mapping * fixing a test * added an option to enable previous interpolation * added doxygen entries for the new parameter * ASSERT_TRUE -> ASSERT_EQ * changed log message when using old upscale mode	2023-02-17 10:35:54 +03:00
Vladimir Ponomarev	2ab7b7c09e	Remove separator between trackbars. ... Remove separator between 2 or more trackbars. This separator has zero thickness and creates bags in toolbar.	2023-02-16 15:18:30 +03:00
Anatoliy Talamanov	6c235c8edb	Merge pull request #23211 from TolyaTalamanov:at/pipeline-modeling-tool-perf-alignment ... [G-API] Pipeline modeling tool: Refactor calculating performance statistics * Add warmup execution * Align perf metrics * Add busy wait mode for source * Small fix for late frames * pl_fn to src_fn * Change show statistics * Correct warm-up iteration * Properly calculate drop frames * Enable frame dropping for streaming mode * Enable frame dropping for streaming mode * Fix comments to review * Fix typos * Cosmetic	2023-02-15 14:04:14 +03:00
Lilit Grigoryan	a87b9fb4b6	Fix focal length estimation from homography matrix	2023-02-14 21:51:09 +03:00
Alexander Alekhin	58d8a2702a	Merge pull request #23243 from WanliZhong:accelerate_palm_det	2023-02-14 16:25:02 +00:00
Corentin Noël	f1f14ce403	highgui: Set hard GLib requirement to >=2.32 ... This version has been released 10 years ago.	2023-02-14 13:28:42 +01:00
Dmitry Kurtaev	76350cd30f	Merge pull request #23161 from dkurt:dnn_tflite ... TFLite models importer * initial commit * Refactor TFLiteImporter * Better FlatBuffers detection * Add permute before 4D->3D reshape * Track layers layout * TFLite Convolution2DTransposeBias layer * Skip TFLite tests without FlatBuffers * Fix check of FlatBuffers in tests. Add readNetFromTFLite from buffer * TFLite Max Unpooling test * Add skip for TFLite unpooling test * Revert DW convolution workaround * Fix ObjC bindings * Better errors handling * Regenerate TFLite schema using flatc * dnn(tflite): more checks, better logging * Checks for unimplemented fusion. Fix tests	2023-02-13 14:00:20 +00:00
Alexander Alekhin	47293f28cf	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-02-11 18:35:00 +00:00
hzcyf	325fe7e663	add support for Orbbec Femto Mega RGB-D camera	2023-02-11 16:22:35 +08:00
Yannis Guyon	56102737d7	Merge pull request #23131 from y-guyon:align_ptr_intrin_sse ... Fix misaligned-pointer-use in intrin_sse.hpp * Fix misaligned-pointer-use in intrin_sse.hpp * Use _mm_loadu_si32() instead of memcpy() * Use CV_DECL_ALIGNED instead of _mm_loadu_si32()	2023-02-10 22:46:21 +00:00
Yuantao Feng	c2b7c1f13b	Merge pull request #23219 from fengyuentau:add_gelu ... Add GELU layer for vision transformers * add gelu and gelu approximation * drop setKernelParams	2023-02-10 18:03:29 +00:00
wanli	c8f5e228fc	release MUL and ADD operator on CUDA	2023-02-10 19:33:59 +08:00
Alexander Alekhin	96a45e842e	Merge pull request #23061 from WanliZhong:gemm_cuda ... DNN: make GEMM can be supported with transA and transB in CUDA	2023-02-09 00:06:32 +03:00
Ibai Gorordo	c280cd7290	Merge pull request #23210 from ibaiGorordo:rect_nfa_bugfix ... Fix rect_nfa (lsd) * Fix missing log_gamma in nfa() Comparing the nfa function with the function in the binomial_nfa repository (https://github.com/rafael-grompone-von-gioi/binomial_nfa/blob/main/C99/log_binomial_nfa.c#L152), the first log_gamma call is missing. * Fix rect_nfa pixel index * Replace std::rotate * Rename tmp to v_tmp * Replace auto and std::min_element * Change slope equality check to int * Fix left limit check	2023-02-08 17:33:06 +00:00
Alexander Alekhin	44290af516	Merge pull request #23224 from VadimLevin:dev/vlevin/cxx-named-arguments	2023-02-08 17:31:30 +00:00
Alexander Alekhin	649841e6bf	Merge pull request #23225 from mshabunin:fix-clang-warnings	2023-02-08 17:28:07 +00:00
Maksim Shabunin	e4acd74e87	Fix some clang 14 warnings	2023-02-07 01:19:00 +03:00
Vadim Levin	b07031b594	feat: named arguments handling in Python interface	2023-02-06 22:14:58 +03:00
Alexander Smorkalov	3d635cb4a7	Warning supression fix for XCode 13.1 and newer. Backport #23203	2023-02-06 11:12:05 +03:00
keith siilats	b0aace31ec	Update charuco_detector.cpp ... Delete the debug print statements accidentally left in	2023-02-05 19:39:25 -05:00
Tinson Lai	f8f425e34c	Change custom_hal.hpp output location	2023-02-03 18:21:15 +08:00
Alexander Smorkalov	c855dcc52f	Supressed tones of Wdeprecated-copy that jump out of GTes after XCode update to 13.1 on Mac M1.	2023-02-02 13:54:47 +03:00
whuaegeansea	400572b19f	Fix bug	2023-02-01 11:25:31 +08:00
wanli	4718a4bf81	make GEMM can be supported with transA and transB in CUDA	2023-01-31 15:14:17 +08:00
Maksim Shabunin	9efaa3cce7	RISC-V/RVV 0.7: v_add/v_sub saturation and avoiding 64-bit register in v_check_	2023-01-30 23:25:53 +03:00
Alexander Smorkalov	ff8af10cfe	Merge pull request #23168 from genciberisha/bug/issue-22205_and_23105_encodeStructuredAppend_problem ... Fix encodeStructuredAppend() resulting in only one QR code problem, and false output data fix.	2023-01-30 09:15:18 +03:00
Alexander Alekhin	cd44aa0bb1	Merge pull request #23162 from zihaomu:issue_23151	2023-01-28 13:00:43 +00:00
Alexander Alekhin	d3ae175bca	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-01-28 10:01:23 +00:00
Rostislav Vasilikhin	deaf632881	Merge pull request #23179 from savuor:port34_stddev_calib_fisheye ... Backport to 3.4 of the fisheye calibration uncertainty fix * uncertainties fix * trailing whitespace * comment added	2023-01-28 09:56:13 +00:00
Alexander Alekhin	c67d4fc633	Merge pull request #23076 from inayd:22012-bugfixFillPoly	2023-01-28 09:55:02 +00:00
zihaomu	f45a12439a	fix depth wise issue.	2023-01-28 11:41:00 +08:00
Yuantao Feng	4d918ba40b	Merge pull request #23047 from fengyuentau:layer_norm ... dnn: add layer normalization for vision transformers * add layer norm onnx parser, impl and tests * add onnx graph simplifier for layer norm expanded * handle the case when constants are of type Initializer * add test case for layer norm expanded with initializers * use CV_Assert & CV_CheckType in place of CV_Assert_N; use forward_fallback for OCL_FP16 * use const ref / ref in parameters of invoker::run; extract inner const if from nested loop; use size_t in place of ull * template hasBias * remove trailing whitespace * use pointer parameter with null check; move normSize division & mean_square division outside of loop; use std::max to ensure positive value before std::sqrt * refactor implementation, optimize parallel_for * disable layer norm expanded * remove the removal of layer norm optional outputs	2023-01-27 16:35:59 +03:00
Yannis Guyon	bf29a4d746	Avoid double-checked locking with TSAN in parallel ... Omit the first check of the double-checked locking pattern in recordException() in parallel.cpp when CV_THREAD_SANITIZER is defined. This should only slow recordException() down when the thread sanitizer is used, and avoids the TSAN data race warning.	2023-01-27 13:36:33 +01:00
Genci Berisha	743d4ecf7b	generateQR() method data loss fix ... Added regression parameterized test for Structure Append mode final_qr_code clear outside generateQR() method	2023-01-26 23:30:14 +01:00
Alexander Alekhin	52855a39ad	Merge pull request #23165 from labeeb-7z:optimizeDistanceTransform	2023-01-25 16:52:46 +00:00
Lilo Huang	cb7fe597a5	Merge pull request #23172 from lilohuang:master ... Adding HEVC/H265 FourCC support to MSMF video writer * Adding HEVC/H265 fourcc to MSMF video writer Adding HEVC/H265 fourcc to MSMF video writer. I have verified it with my own video input stream, and it works well on my workstation. * Update video io testing * Adding macro fence to get rid of compiler error H265/HEVC encoder is only available in Windows or later. https://learn.microsoft.com/en-us/windows/win32/medfound/h-265---hevc-video-encoder * Update test_video_io.cpp	2023-01-25 04:49:08 +00:00
Alexander Alekhin	8ffc06ff72	Merge pull request #23173 from tomoaki0705:fix_warning_master	2023-01-23 15:33:16 +00:00
Tomoaki Teshima	186c18668c	suppress warning	2023-01-23 22:47:43 +09:00
Rostislav Vasilikhin	4009bca59a	Merge pull request #23025 from savuor:backport3_stddev_calib_fix ... Backport of #22992 to 3.4 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-01-23 14:59:43 +03:00
Alexander Alekhin	18cbfa4a4f	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-01-23 00:11:12 +00:00
Alexander Alekhin	b71a168937	Merge pull request #23154 from tomoaki0705:handleNonBitExact	2023-01-21 18:14:25 +00:00
Labib Asari	35c17f35be	removed redundant code	2023-01-21 00:16:48 +05:30
Alexander Smorkalov	3085fc6345	Merge pull request #23073 from savuor:fix_graphcut_used_edges_dense ... USAC fix: GraphCut fails to allocate big dense matrices	2023-01-20 14:55:40 +03:00
Alexander Alekhin	17e860a288	Merge pull request #16189 from mshabunin:enable-two-channels	2023-01-20 08:51:46 +00:00
Tomoaki Teshima	1833b034fe	make test tolerate to rounding error	2023-01-19 22:06:52 +09:00
Alexander Alekhin	69020666fe	test: reproducible results, enabled 2-channel tests, increased some thresholds	2023-01-19 15:39:33 +03:00
Alexander Alekhin	53144ee0eb	perf: drop runtime time adjustment calibration	2023-01-18 22:13:30 +00:00
Funatomi Takuya	dbdd357b0a	Extend USAC coverage. ... Add `estimateSE2(...)`, `estimateSE3(...)`, `estimateSIM2(...)`, `estimateSIM3(...)` for estimating an geometric transformation with rotation and translation (with scaling for SIM) using USAC: as alternative for `estimateAffinePartial2D` and `estimateAffine3D`. Modified test module. Remove unused variables. Remove initializer of unused variable. Add interfaces to accept UsacParams() and corresponding test codes. Revise test code. PartialNd removed Umeyama rewritten for code quality & speed comments & minors rise number of points fix, and +30% faster! only one number should be that big remove USAC code, leave fix only big number	2023-01-18 02:12:57 +01:00
Rostislav Vasilikhin	f3a03aefad	cvIsInf(double) fix + regression test	2023-01-17 23:06:39 +01:00
Maksim Shabunin	c1e5c16ff3	Backport C-API cleanup (imgproc) from 5.x	2023-01-16 23:29:50 +03:00
Yuantao Feng	c63d79c5b1	Merge pull request #23095 from fengyuentau:fix_omp_macos ... * fix openmp include and link issue on macos * turn off have_openmp if OpenMP_CXX_INCLUDE_DIRS is empty * test commit * use condition HAVE_OPENMP and OpenMP_CXX_LIBRARIES for linking * remove trailing whitespace * remove notes * update conditions * use OpenMP_CXX_LIBRARIES for linking	2023-01-16 12:44:13 +03:00
Alexander Alekhin	a9d02f096e	Merge pull request #23126 from cudawarped:fix_issue_3412	2023-01-13 13:08:27 +00:00
Ihsan Soydemir	6a7d54f550	Merge pull request #23128 from Isydmr:update-fastNlMeansDenoising-documentation ... Fix broken paper link for fastNlMeansDenoising * Fix broken link * Move citation to `opencv.bib` * Cite researchgate reference * Correct citation label * Use semantic scholar BibTex	2023-01-12 19:54:40 +03:00
Alexander Alekhin	3d5e3a910f	Merge pull request #23096 from zihaomu:issue_23074	2023-01-12 00:51:04 +00:00
Xxfore	ef0fcb9238	Merge pull request #22938 from Xxfore:4.x ... Use reinterpret instead of c-style casting for GCC Co-authored-by: Xu Zhang <xu.zhang@hexintek.com> Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>	2023-01-11 14:11:16 +00:00
cudawarped	b5bf756ca0	core: define cuda test size with row/col of 1	2023-01-11 14:52:46 +02:00
zihaomu	840b1d5c94	add depthwise add fuse	2023-01-11 08:42:51 +08:00
Alexander Alekhin	974102bc7f	Merge pull request #23120 from alalek:fixup_22246_2	2023-01-10 10:01:17 +00:00
Alexander Alekhin	5bacd8753b	build: eliminate GCC9 warning from sift.simd.hpp	2023-01-10 01:38:12 +00:00
Alexander Alekhin	65c2d6a2be	Merge pull request #23112 from zihaomu:fix_x86_winograd	2023-01-09 19:37:29 +00:00
Yang Chao	e0aa677388	Open CV_CPU_NEON_DOTPROD on Apple silicon devices	2023-01-09 19:27:35 +08:00
Alexander Alekhin	36815fe3f3	videoio(test): skip unstable Media.audio test	2023-01-09 10:06:10 +00:00
Christoph Rackwitz	a64b51dd94	Merge pull request #23108 from crackwitz:issue-23107 ... Usage of imread(): magic number 0, unchecked result * docs: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * samples, apps: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * tests: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * doc/py_tutorials: check imread() result	2023-01-09 09:55:31 +00:00
zihaomu	82616eec41	fix possible segmentation fault error in winograd on x86	2023-01-09 13:40:04 +08:00
inayd	54449b614b	Fix occuring artifacts in fillPoly	2023-01-03 16:29:13 +01:00
Alexander Alekhin	9208dcb07c	Merge tag '4.7.0'	2022-12-28 15:23:46 +00:00
Alexander Smorkalov	725e440d27	release: OpenCV 4.7.0	2022-12-28 17:31:52 +03:00
Alexander Panov	121034876d	Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect ... merge with https://github.com/opencv/opencv_contrib/pull/3394 move Charuco API from contrib to main repo: - add CharucoDetector: ``` CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds, OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners, InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners, OutputArray _diamondIds) const ``` - add `matchImagePoints()` for `CharucoBoard` - remove contrib aruco dependencies from interactive-calibration tool - move almost all aruco tests to objdetect ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2022-12-28 17:28:59 +03:00
Alexander Alekhin	9627ab9462	Merge pull request #23050 from zihaomu:fix_memory	2022-12-28 10:04:25 +00:00
zihaomu	71765858dc	fix invalid memory access	2022-12-28 17:16:11 +08:00
Alexander Alekhin	9a2a34f94e	dnn(openvino): remove undefined status	2022-12-28 06:55:00 +00:00
Alexander Alekhin	38f7cd7173	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-27 08:58:28 +00:00
Alexander Alekhin	eab7faf536	Merge tag '3.4.19'	2022-12-27 08:41:49 +00:00
Alexander Alekhin	83391ac59d	release: OpenCV 3.4.19	2022-12-27 03:50:12 +00:00
Alexander Alekhin	a8a93a57e7	Merge pull request #23029 from savuor:backport3_fix_fisheye_aspect_ratio	2022-12-27 03:47:01 +00:00
Alexander Alekhin	f637629c5a	Merge pull request #23037 from cudawarped:fix_for_cuda_12	2022-12-27 03:43:59 +00:00
Rostislav Vasilikhin	93aa94e71e	backported changes ... no lambda whitespace fixing build Java tests	2022-12-27 00:54:39 +01:00
Alexander Alekhin	86b46a27cf	Merge pull request #23039 from alalek:cmake_3.5_fix	2022-12-26 20:31:39 +00:00
Alexander Alekhin	1bc3077890	cmake: VERSION_GREATER_EQUAL is not supported in CMake 3.5.1	2022-12-26 17:41:53 +00:00
Alexander Alekhin	fc27a343e9	Merge pull request #22905 from zihaomu:clean_up_conv3d_1d	2022-12-26 17:39:18 +00:00
cudawarped	692d6168b3	cuda: fix CUDA 12.0 build errors	2022-12-26 15:25:29 +02:00
Alexander Alekhin	de9787a6ac	Merge pull request #23036 from asmorkalov:as/blobdetect_range_fix	2022-12-26 12:47:45 +00:00
Alexander Smorkalov	b7292bc899	Fixed blob detector parameters range.	2022-12-26 15:02:24 +03:00
Alexander Alekhin	dbd4a0e5e6	videoio(ffmpeg): update tests with new Windows wrapper	2022-12-26 02:32:11 +00:00
Alexander Alekhin	b42c11de82	pre: OpenCV 4.7.0 (version++)	2022-12-25 17:00:22 +00:00
Alexander Alekhin	a494c75bfe	pre: OpenCV 3.4.19 (version++)	2022-12-25 16:59:47 +00:00
Alexander Alekhin	bc8c912c7a	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-24 13:54:58 +00:00
zihaomu	8e6aae0d7a	Add spaces to make links clickable.	2022-12-24 15:26:42 +08:00
Dmitry Kurtaev	8681686d8f	Merge pull request #22957 from dkurt:new_openvino_api ... Switch to new OpenVINO API after 2022.1 release * Pass Layer_Test_Convolution_DLDT.Accuracy/0 test * Pass test Test_Caffe_layers.Softmax * Failed 136 tests * Fix Concat. Failed 120 tests * Custom nGraph ops. 19 failed tests * Set and get properties from Core * Read model from buffer * Change MaxPooling layer output names. Restore reshape * Cosmetic changes * Cosmetic changes * Override getOutputsInfo * Fixes for OpenVINO < 2022.1 * Async inference for 2021.4 and less * Compile model with config * Fix serialize for 2022.1 * Asynchronous inference with 2022.1 * Handle 1d outputs * Work with model with dynamic output shape * Fixes with 1d output for old API * Control outputs by nGraph function for all OpenVINO versions * Refer inputs in PrePostProcessor by indices * Fix cycled dependency between InfEngineNgraphNode and InfEngineNgraphNet. Add InferRequest callback only for async inference. Do not capture InferRequest object. * Fix tests thresholds * Fix HETERO:GPU,CPU plugin issues with unsupported layer	2022-12-23 16:58:41 +00:00
Alexander Smorkalov	9012e6dd9b	Merge pull request #22965 from vrabaud:numpy_fix ... Remove references to deprecated NumPy type aliases.	2022-12-23 15:34:02 +03:00
Alexander Smorkalov	4930516652	Merge pull request #22898 from fengyuentau:slice_neg_steps ... dnn: support ONNX Slice with negative steps by adding and using cv::flipND	2022-12-23 14:15:06 +03:00
Vincent Rabaud	ad568edd7f	Remove references to deprecated NumPy type aliases. ... This change replaces references to a number of deprecated NumPy type aliases (np.bool, np.int, np.float, np.complex, np.object, np.str) with their recommended replacement (bool, int, float, complex, object, str). Those types were deprecated in 1.20 and are removed in 1.24, cf https://github.com/numpy/numpy/pull/22607.	2022-12-23 13:53:49 +03:00
Maxim Milashchenko	62b3a20da5	Merge pull request #22930 from MaximMilashchenko:gstreamer_support ... Support one-time audio video reading * stream switching functionality * audio+video pipeline with switch stream functionality * audio video sync * fixed sync * removed switch swtream functionality * changed test for gstreamer audio * fixed error * fixed error * fixed issue * fixed issue * fixed error * fixed error * fixed error	2022-12-23 10:15:22 +00:00
Alexander Alekhin	1f41d06f9a	Merge pull request #23008 from mshabunin:fix-yolov4-tiny-hash	2022-12-23 10:14:25 +00:00
Sergei Shutov	1339c7f30c	Define the number of dstChannels for Lab, Luv, YCrCb and XYZ conversions	2022-12-23 12:04:30 +02:00
Alexander Smorkalov	734fb18c4d	Merge pull request #23017 from asmorkalov:as/qrcode_valgrind ... Valgrind issues fix in QRCode detector.	2022-12-23 12:10:29 +03:00
zihaomu	71c6339af0	remove old convolution branch, and optimize conv3d and conv1d.	2022-12-23 16:50:28 +08:00
fengyuentau	34a0897f90	add cv::flipND; support onnx slice with negative steps via cv::flipND	2022-12-23 16:39:53 +08:00
Alexander Smorkalov	a32100d9ba	Valgrind issues fix in QRCode detector.	2022-12-23 10:50:31 +03:00
Alexander Alekhin	b5400902a7	Merge pull request #23002 from alalek:issue_22206 ... * obj-c: de-duplicate values of nested enums - prefix with outer class name * obj-c: handle enum names change in assigned values * obj-c: switch on 'const_fix' * obj-c: add NS_SWIFT_NAME	2022-12-22 14:01:21 +00:00
Maksim Shabunin	d35fbe6bfc	dnn: updated YOLOv4-tiny model and tests	2022-12-22 15:49:21 +03:00
Alexander Smorkalov	44dfe62af0	Merge pull request #22914 from tozanski:tomoz/ransac-bugfix ... Bugfix for solvePnPRansac with SOLVEPNP_ITERATIVE	2022-12-22 11:58:14 +03:00
Alexander Alekhin	4acb267cf4	Merge pull request #23014 from alalek:ffmpeg_default_threads	2022-12-22 07:57:24 +00:00
Alexander Alekhin	8676d19dc3	videoio(ffmpeg): limit number of default threads	2022-12-22 04:45:29 +00:00
Alexander Alekhin	6b4f3e5fab	Merge pull request #22993 from alalek:fixup_21738	2022-12-21 19:50:51 +00:00
Vincent Rabaud	b774753922	Fix self converTo. ... We still need images[i] = img because it is used below in buildPyramid.	2022-12-21 18:28:26 +01:00
Marco Feuerstein	bc8d494617	Merge pull request #22959 from feuerste:parallel_mertens ... Parallelize implementation of HDR MergeMertens. * Parallelize MergeMertens. * Added performance tests for HDR. * Ran clang-format. * Optimizations. * Fix data path for Windows. * Remove compiiation warning on Windows. * Remove clang-format for existing file. * Addressing reviewer comments. * Ensure correct summation order. * Add test for determinism. * Move result pyramid into sync struct. * Reuse sync for first loop as well. * Use OpenCV's threading primitives. * Remove cout.	2022-12-21 14:10:59 +00:00
Alexander Smorkalov	1ab259df9a	Merge pull request #23005 from alalek:objdetect_cleanup_aruco_ptr_filestorage ... aruco(cleanup): don't use Ptr<FileStorage>	2022-12-21 16:45:14 +03:00
augustinmanecy	0bd54a60e9	Merge pull request #20367 from augustinmanecy:features2d-rw ... **Merge with contrib**: https://github.com/opencv/opencv_contrib/pull/3003 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV - [x] The PR is proposed to proper branch - [ ] There is reference to original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2022-12-21 16:03:00 +03:00
Alexander Smorkalov	63b6b24cd0	Merge pull request #22967 from stopmosk:usac-maxiters-bugfix ... Fix maxIter parameter in usac findEssentialMat	2022-12-21 15:58:44 +03:00
Alexander Alekhin	c6a15e1835	aruco(cleanup): don't use Ptr<FileStorage>	2022-12-21 10:52:43 +00:00
Alexander Smorkalov	91ac790249	Merge pull request #23001 from alalek:videoio_init_vars ... videoio(v4l): initialize variables	2022-12-21 09:56:55 +03:00
Sergei Shutov	3cfe737581	Fix hardcoded maxIters	2022-12-21 09:51:59 +03:00
Yuantao Feng	a2b3acfc6e	dnn: add the CANN backend (#22634) ... * cann backend impl v1 * cann backend impl v2: use opencv parsers to build models for cann * adjust fc according to the new transA and transB * put cann net in cann backend node and reuse forwardLayer * use fork() to create a child process and compile cann model * remove legacy code * remove debug code * fall bcak to CPU backend if there is one layer not supoorted by CANN backend * fix netInput forward	2022-12-21 09:04:41 +03:00
Alexander Alekhin	f4b23de9dd	videoio(v4l): initialize variables	2022-12-21 03:28:09 +00:00
Alexander Alekhin	a08c98cdfb	Merge pull request #22995 from alalek:dnn_fix_opencl_matmul	2022-12-20 14:52:35 +00:00
Alexander Smorkalov	279e2be56b	Merge pull request #22963 from cudawarped:replace_texture_ref_with_texture_obj ... Replace all instances of CUDA texture references with texture objects	2022-12-20 15:07:10 +03:00
Alexander Alekhin	cdbb893b27	dnn: disable OpenCL code path in MatMul processing ... - this mode is not supported by 22828	2022-12-20 09:46:48 +00:00
Alexander Alekhin	3f7ec99166	build: eliminate build warnings on Ubuntu 20.04/16.04	2022-12-20 06:46:30 +00:00
Alexander Alekhin	1102b7eff8	dnn: fix gather layer implementation ... - support FP16 data	2022-12-20 06:09:34 +00:00
Alexander Alekhin	da43778c1f	Merge pull request #22981 from alalek:core_freeze_cache_dir_prefix_4.x	2022-12-19 17:29:57 +00:00
cudawarped	9aa5ab7557	cv::cuda: Replace all instances of texture references/objects with texture objects using the existing updated cv::cudev::Texture class. ... Fixes bugs in cv::cuda::demosaicing, cv::cuda::resize and cv::cuda::HoughSegmentDetector.	2022-12-19 19:28:15 +02:00
Vincent Rabaud	7463e9b8bb	Even faster CV_PAUSE on SkyLake and above. ... No need to loop as RDTSC is 3/4 times faster than _mm_pause.	2022-12-19 14:15:34 +01:00
Alexander Smorkalov	9f201a8ebe	Merge pull request #22979 from alalek:fix_videio_test_limit_threads ... videoio(test): reduce number of test threads	2022-12-19 10:01:43 +03:00
Alexander Alekhin	91998d6424	Merge pull request #22935 from alalek:gapi_error ... G-API: replace GAPI_Assert() with 'false' and '0' to GAPI_Error() * gapi: GAPI_Error() macro * gapi: replace GAPI_Assert() with 'false' and '0' to GAPI_Error() * build: eliminate 'unreachable code' after CV_Error() (MSVC 2015) * build: eliminate 'unreachable code' warning for MSVS 2015/2017 - observed in constructors stubs with throwing exception	2022-12-19 06:05:15 +00:00
Alexander Alekhin	420db56ffd	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-18 02:17:17 +00:00
Alexander Alekhin	4824ce300f	core: freeze cache directory prefix - "4.x"	2022-12-18 00:24:52 +00:00
Alexander Alekhin	cdaf4c7321	videoio(test): reduce number of test threads	2022-12-18 00:02:07 +00:00
Alexander Alekhin	eace6adb6d	Merge pull request #22934 from alalek:fix_filestorage_binding	2022-12-17 03:28:13 +00:00
Alexander Panov	b4b35cff15	Merge pull request #22368 from AleksandrPanov:move_contrib_aruco_to_main_objdetect ... Megre together with https://github.com/opencv/opencv_contrib/pull/3325 1. Move aruco_detector, aruco_board, aruco_dictionary, aruco_utils to objdetect 1.1 add virtual Board::draw(), virtual ~Board() 1.2 move `testCharucoCornersCollinear` to Board classes (and rename to `checkCharucoCornersCollinear`) 1.3 add wrappers to keep the old api working 3. Reduce inludes 4. Fix java tests (add objdetect import) 5. Refactoring ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake ``` **WIP** force_builders=linux,win64,docs,Linux x64 Debug,Custom Xbuild_contrib:Docs=OFF build_image:Custom=ubuntu:22.04 build_worker:Custom=linux-1 ```	2022-12-16 12:28:47 +03:00
hzc	47fb79bd8c	Merge pull request #22936 from hzcyf:orbbec_new_cam_support ... videoio: add Orbbec Gemini 2 and Astra 2 camera support ### Test Result | OS | Compiler | Camera | Result | |-----|-----------|---------|--------| |Windows11| (VS2022)MSVC17.3|Orbbec Gemini 2|Pass| |Windows11| (VS2022)MSVC17.3|Orbbec Astra 2|Pass| |Ubuntu22.04|GCC9.2|Orbbec Gemini 2|Pass| |Ubuntu22.04|GCC9.2|Orbbec Astra 2|Pass| ### Pull Request Readiness Checklist - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] The feature is well documented and sample code can be built with the project CMake	2022-12-16 12:23:12 +03:00
Alexander Alekhin	6e3700593f	compatibility: keep Ptr<FileStorage> stubs till OpenCV 5.0	2022-12-16 00:47:44 +00:00
Alexander Alekhin	6a8c5a1d27	python: resolve Ptr<FileStorage> requirement issue	2022-12-16 00:47:44 +00:00
Vincent Rabaud	b7b08fa0c3	Fix slower CV_PAUSE on SkyLake and above. ... This is fixing https://github.com/opencv/opencv/issues/22852	2022-12-15 14:18:57 +01:00
Alexander Smorkalov	ac6fb17784	Merge pull request #22828 from WanliZhong:improve_matmul ... DNN: make MatMul support 3D or 4D with broadcast	2022-12-15 13:36:22 +03:00
Alexander Smorkalov	3f22f4727c	Merge pull request #22919 from asmorkalov:as/gstreamer_read_timeout ... Address https://github.com/opencv/opencv/issues/22868 Used the same defaults as it's done for FFmpeg ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake ``` force_builders=Custom build_image:Custom=gstreamer:16.04 buildworker:Custom=linux-1 ```	2022-12-15 12:53:22 +03:00
Alexander Smorkalov	0153e796cc	Merge pull request #22891 from AleksandrPanov:qr_add_alignment ... Use QR code alignment markers	2022-12-15 09:39:58 +03:00
zoom	4891818114	make MatMul support 3D or 4D with broadcast	2022-12-15 10:36:08 +08:00
Alexander Alekhin	db4a557187	Merge pull request #22951 from zihaomu:update_nanotrack_comment	2022-12-14 21:21:49 +00:00
Alexander Alekhin	04c3a534af	Merge pull request #22958 from asmorkalov:as/ffmpeg_missing_include	2022-12-14 21:16:07 +00:00
AleksandrPanov	a32143003d	add alignment detect	2022-12-14 23:56:57 +03:00
Sergei Shutov	8bd17163c7	Merge pull request #22939 from stopmosk:21826-python-bindings-for-videocapturewaitany ... Add Python bindings for VideoCapture::waitAny #21826 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2022-12-14 22:15:02 +03:00
Alexander Smorkalov	189e1b228d	Fix missing FFmpeg include needed for av_get_pix_fmt_name	2022-12-14 13:09:37 +03:00
Alexander Smorkalov	52709c7771	Merge pull request #22954 from VadimLevin:dev/vlevin/fix-merge-artifacts-in-python-misc-tests ... fix: remove function duplicates in test_misc.py	2022-12-14 09:42:43 +03:00
zihaomu	7dbb125a34	add nanotrack v2 at regression test.	2022-12-14 14:41:49 +08:00
Vadim Levin	3f5f09e730	fix: add _ suffix to properties having reserved keyword names	2022-12-13 20:56:39 +03:00
Vadim Levin	253a4c113e	fix: remove function duplicates in test_misc.py	2022-12-13 19:14:52 +03:00
Alexander Smorkalov	1788c93aea	Merge pull request #22924 from alalek:logger_strip_base_dir ... core(logger): strip opencv's modules base path	2022-12-13 15:28:10 +03:00
Alexander Alekhin	4203c903f8	Merge pull request #22928 from alalek:riscv_toolchains	2022-12-13 06:32:16 +00:00
Vadim Levin	727feda935	fix: AVFoundation inconsistent camera indices	2022-12-12 17:15:46 +03:00
Alexander Alekhin	39087fecdc	Merge pull request #22942 from alalek:videoio_test_update_hw_checks ... * videoio(test): update PSNR check for H264/265 * videoio(test): reduce size for ffmpeg tests on 32-bit platforms	2022-12-12 12:38:14 +00:00
Alexander Alekhin	c725771e11	build(riscv): suppress massive -Wignored-attributes warnings	2022-12-11 17:10:00 +00:00
Alexander Alekhin	be326ff752	build: fix/eliminate MSVC warnings	2022-12-10 12:19:31 +00:00
Alexander Smorkalov	423bc515e5	Integer underflow fix for morphologyEx in Carotene (arm).	2022-12-09 18:08:22 +03:00
Alexander Alekhin	941d89e06d	cmake: fix RISC-V toolchains ... - RVV options are moved to configuration scripts instead of toolchains	2022-12-09 12:02:28 +00:00
Alexander Alekhin	281b790618	Merge pull request #22922 from alalek:fix_riscv_intrin_rvv	2022-12-08 22:07:46 +00:00
Alexander Alekhin	93c4bca04d	Merge pull request #22933 from alalek:fixup_22894	2022-12-08 22:07:04 +00:00
Alexander Alekhin	24d7eb0ca5	videoio(test): test skip due to non-updated FFmpeg wrapper	2022-12-08 17:18:29 +00:00
Alexander Alekhin	8ba44e7d55	Merge pull request #22882 from zihaomu:gemm_first_const	2022-12-08 14:18:33 +00:00
Alexander Alekhin	49f539cb46	Merge pull request #22894 from mshabunin:ffmpeg-16bit	2022-12-08 14:12:51 +00:00
Zihao Mu	0a650b573b	Merge pull request #22840 from zihaomu:optimze_conv_memory_usage ... DNN: reduce the memory used in convolution layer * reduce the memory in winograd and disabel the test when usage memory is larger than 2gb. * remove VERY_LOG tag	2022-12-08 12:57:13 +00:00
Alexander Alekhin	7e3c53b9d3	core(logger): strip path prefix	2022-12-07 23:58:36 +00:00
Alexander Smorkalov	ab912329b6	Merge pull request #22885 from asmorkalov:as/new_qt_icons ... Switch QT UI to icons with Google Material Design	2022-12-07 14:25:31 +03:00
Maksim Shabunin	6ad216576d	videoio/FFmpeg: added CV_16UC1 read/write support	2022-12-07 12:12:31 +03:00
Alexander Alekhin	c5a4df30c6	risc-v: fix RVV backend on clang with undefined CV_RVV_SCALABLE ... - v_interleave_quads - v_pack_triplets - v_signmask	2022-12-06 13:49:05 +00:00
Zihao Mu	cb8f1dca3b	Merge pull request #22808 from zihaomu:nanotrack ... [teset data in opencv_extra](https://github.com/opencv/opencv_extra/pull/1016) NanoTrack is an extremely lightweight and fast object-tracking model. The total size is **1.1 MB**. And the FPS on M1 chip is **150**, on Raspberry Pi 4 is about **30**. (Float32 CPU only) With this model, many users can run object tracking on the edge device. The author of NanoTrack is @HonglinChu. The original repo is https://github.com/HonglinChu/NanoTrack. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2022-12-06 08:54:32 +03:00
Tomasz Ożański	d1ff87d94d	Bugfix for solvePnPRansac with SOLVEPNP_ITERATIVE ... The current implementation overwrites the result rotation and translation in every iteration. If SOLVEPNP_ITERATIVE was run as a refinement it will start from the incorrect initial transformation thus degrading the final outcome.	2022-12-03 16:46:03 +01:00
Alexander Alekhin	b16f76eede	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-03 12:39:41 +00:00
Christine Poerschke	4792837f2e	Merge pull request #22865 from cpoerschke:3.4-issue-22860 ... ocl_minMaxIdx to call minmaxloc.cl for OpenCL 1.2+ only	2022-12-03 05:29:04 +00:00
Alexander Alekhin	416830fb59	Merge pull request #22888 from alalek:dnn_ov_fix_custom_layers	2022-12-03 05:24:28 +00:00
Alexander Alekhin	d16b3b2487	dnn(test): restore openvino tests with 'Cannot get memory' message	2022-12-03 01:34:48 +00:00
Alexander Alekhin	74d0b4cc78	dnn(openvino): fix custom layers BlockingDesc	2022-12-03 01:34:10 +00:00
Alexander Smorkalov	c55613ccf7	Switch QT UI to icons with Google Material Design.	2022-12-02 11:21:02 +03:00
Maksim Shabunin	5862b50217	videoio: fixed FFmpeg plugin build	2022-12-01 20:26:08 +03:00
Alexander Smorkalov	5696629b13	Merge pull request #22594 from ZhaoChuyang:pr_test_for_22253 ... add test for PR #22253	2022-12-01 13:47:32 +03:00
Vadim Levin	3a15152be5	refactor: rework test to be more specific	2022-11-30 18:31:03 +03:00
赵楚洋	f1055a7e91	add test	2022-11-30 18:31:03 +03:00
Alexander Smorkalov	1192779d05	Merge pull request #22792 from tailsu:sd/avfoundation-orientation-meta ... Add support for CAP_PROP_ORIENTATION_AUTO to AVFoundation backend	2022-11-30 14:25:09 +03:00
Alexander Duda	2eb7bf4cfa	core: improve doc for setNumThreads ... The old documentation implies that the call is only valid for the next parallel region and must be called again if addtional regions should be affected as well.	2022-11-30 11:37:35 +01:00
Alexander Smorkalov	e14ca39fd7	Merge pull request #22857 from fengyuentau:batched_nms ... dnn: add batched nms	2022-11-30 12:37:49 +03:00
Alexander Smorkalov	421ba8730a	Merge pull request #22809 from fengyuentau:tile ... dnn: support ONNX Tile	2022-11-29 14:42:28 +03:00
zihaomu	0d56524b72	gemm support transA and transB, and first input is constance.	2022-11-29 17:13:36 +08:00
fengyuentau	9fded9ca53	batched nms impl	2022-11-29 15:32:34 +08:00
fengyuentau	441624a5fb	tile impl	2022-11-29 11:15:38 +08:00
Alexander Alekhin	25ac77e010	Merge pull request #22873 from WanliZhong:issue22859	2022-11-28 19:10:51 +00:00
Alexander Alekhin	77d887898d	Merge pull request #22875 from asmorkalov:as/cl_error_code_fix	2022-11-28 19:05:59 +00:00
HAN Liutong	a32f2cd24a	Merge pull request #22520 from hanliutong:hsv ... Modify the SIMD loop in color_hsv. * Modify the SIMD loops in color_hsv. * Add FP supporting in bit logic. * Add temporary compatibility code. * Use max_nlanes instead of vlanes for array declaration. * Use "CV_SIMD || CV_SIMD_SCALABLE". * Revert the modify of the Universal Intrinsic API * Fix warnings. * Use v_select instead of bits manipulation.	2022-11-28 18:28:14 +00:00
Alexander Smorkalov	eb68de9268	Merge pull request #22695 from AleksandrPanov:qr_improve_version_detect ... Improve QR code version estimation	2022-11-28 19:50:02 +03:00
AleksandrPanov	ed3810f7a5	add getNumModules(), add decode version	2022-11-28 17:45:09 +03:00
Alexander Smorkalov	1c3e287d32	More fixes for OpenCL error reporting.	2022-11-28 09:47:51 +03:00
zoom	5044af69d1	let MatMul can work when both two inputs are const	2022-11-27 17:32:41 +08:00
Stefan Dragnev	a462f49b99	add support for CAP_PROP_ORIENTATION_AUTO to AVFoundation backend ... * extract rotateFrame as free function, rename to applyMetadataRotation * LegacyCapture::get() always return 0, if cap is null	2022-11-25 17:25:13 +01:00
Alexander Smorkalov	7622fbf895	Fixed OpenGL errors formatting.	2022-11-25 16:46:12 +03:00
Amir Hassan	3f371fe2dd	Merge pull request #22855 from kallaballa:print_cl_status_on_fail ... Print CL status code on error in opengl interop functions	2022-11-25 09:13:57 +03:00
Alexander Smorkalov	6ca205a029	Merge pull request #22478 from WanliZhong:nary_eltwise_cuda ... DNN: Let part of the operators in nary_eltwise support CUDA	2022-11-22 16:15:50 +03:00
Dan Mašek	aba2167d9c	Merge pull request #22838 from dan-masek:fix_issue_22837 ... Fix issue 22837: No more blank buttons on toolbar after resizing the window	2022-11-22 13:47:27 +03:00
Alexander Smorkalov	5db4f1f7df	Merge pull request #22830 from alalek:issue_22752 ... imgcodecs: ensure parameters are key-value pairs, fix HDR encoder	2022-11-22 12:50:02 +03:00
Alexander Alekhin	a0a8d2160d	Merge pull request #22775 from WanliZhong:issue22713	2022-11-21 19:55:48 +00:00
Alexander Alekhin	2a5da50902	Merge pull request #22806 from dan-masek:fix_issue_22767	2022-11-21 19:53:34 +00:00
fwcd	90b144cf0a	Cocoa/highgui: Set activateIgnoringOtherApps	2022-11-21 12:49:08 +03:00
Alexander Smorkalov	529bd0425e	Merge pull request #22737 from fwcd:activate-cocoa-window-on-top ... Cocoa/highgui: Set `[NSApp activateIgnoringOtherApps]` to spawn window on top	2022-11-21 12:28:00 +03:00
Zhuo Zhang	c63a6c472d	fix typo: Gausssian to Gaussian	2022-11-21 10:44:12 +08:00
Dan Mašek	e5bea2bde4	Fix #22766: Corrected off-by one error causing inconsistent row spacing. (rebased to 3.4)	2022-11-20 21:48:23 +01:00
Dan Mašek	e9d64e0a8c	Fix #22767: Ensure that the buttons are spaced to the size of the toolbar window, which is always visible. (rebased to 3.x)	2022-11-20 20:53:23 +01:00
Alexander Alekhin	f0df78b7e7	imgcodecs: ensure parameters are key-value pairs, fix HDR encoder	2022-11-20 13:08:46 +00:00
Maksim Shabunin	e93d976d00	gapi: fix InferWithReshape test crash when data is not found	2022-11-19 01:56:45 +03:00
Anatoliy Talamanov	64aad34cb4	Merge pull request #22735 from TolyaTalamanov:at/expose-all-imgproc-to-python ... G-API Expose all imgproc operations to python * Expose imgproc operations * Fix alignment	2022-11-18 15:25:51 +00:00
Alexander Smorkalov	7592d58f0c	Merge pull request #22771 from kallaballa:opencl_hls_and_hsv_conversions_bug ... define the number of dstChannels for HLS and HSV conversion as well	2022-11-17 13:36:18 +03:00
Alexander Smorkalov	08906ddd4b	Merge pull request #22814 from AleksandrPanov:log_qr_version ... log QR version and corners	2022-11-17 11:02:11 +03:00
Alexander Alekhin	5d14cc68b7	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-11-16 16:54:11 +00:00
Alexander Alekhin	ce80e0dc57	Merge pull request #22559 from smirnov-alexey:as/vpl_ocl ... G-API: Connect OneVPL source and OpenCL backend	2022-11-16 19:24:48 +03:00
Alexey Smirnov	4c74e6d89d	Copy mpashchenkov's changes ... Minor refactoring Partially address review comments Move DX-related stuff from the sample to a default source Simplify the default OneVPL config Address minor review comments Add class for the default VPL source WIP: Add initial stub for tests with description Removing default vpl source and minor refactoring Refactor default files Fix build and application crash Address review comments Add test on VPL + OCL interaction compared to CPU behavior Fix test	2022-11-16 14:17:02 +01:00
AleksandrPanov	687c9b7b29	log QR version and corners	2022-11-16 10:41:13 +03:00
Alexander Alekhin	d9f66413ee	Merge pull request #22811 from alalek:core_check_bool	2022-11-16 04:06:23 +00:00
Alexander Alekhin	54531f8e3b	core: support CV_Check*() macros with 'bool' parameters	2022-11-15 11:47:16 +00:00
Alexander Smorkalov	b5a68f235a	Merge pull request #22802 from zihaomu:fix_infinit_loop_in_tf_34 ... Fix infinit loop in tf 3.4 branch	2022-11-15 11:45:14 +03:00
zihaomu	5bf64e7dfe	fix the infinite loop in tf importer of 3.4 branch	2022-11-15 11:42:10 +08:00
Dan Mašek	51b897b672	Fix #22765: Remove unnecessary function resulting in infinite recursion. Since In all four places it was used, we already check the shared pointer, the extra assert that the function provided was redundand, so I removed it, and I added a dereference to the window parameters.	2022-11-15 00:44:51 +01:00
Amir Hassan	da4ac6b7ef	Merge pull request #22706 from kallaballa:libavdevice_for_ffmpeg_v4l2 ... Introduce libavdevice to make v4l2 available to the ffmpeg backend * introduce libavdevice to make v4l2 available to the ffmpeg backend * downgrade the min required libavdevice version to 53.2.0 * make libavdevice optional * create OCV_OPTION OPENCV_FFMPEG_ENABLE_LIBAVDEVICE and add definition through ocv_add_external_target * move OCV_OPTION 'OPENCV_FFMPEG_ENABLE_LIBAVDEVICE' to detect_ffmpeg.cmake	2022-11-11 22:28:02 +00:00
Juha Reunanen	1ba0984203	Merge pull request #22790 from reunanen:add-capability-to-set-DWA-compression-level-in-OpenEXR-encoding ... OpenEXR encoder: add capability to set the DWA compression level * OpenEXR encoder: add capability to set the DWA compression level from outside * Do not try to call `header.dwaCompressionLevel()` if OpenEXR is not version 3 or later * Minor cleanup	2022-11-11 08:40:53 +00:00
kallaballa	f5e852cdf0	define the number of dstChannels for HLS and HSV conversion as well	2022-11-11 09:23:28 +01:00
zoom	ef2677b0a6	Make MatMul layer support 3d or 4d operation with const input	2022-11-10 11:41:44 +08:00
Anatoliy Talamanov	2aad039b4f	Merge pull request #22494 from TolyaTalamanov:at/expose-all-core-to-python ... G-API Expose all core operations to python * Expose all G-API core operations to python * Fix typo in python gapi types test	2022-11-08 11:43:38 +00:00
Juha Reunanen	63bff33e85	Fix floodFill for very large images	2022-11-07 13:42:20 +02:00
zoom	11d492b0b9	Let part of the operators in nary_eltwise support cuda	2022-11-02 14:08:21 +08:00
Zihao Mu	17f2b56291	remove never used code in onnximporter	2022-11-02 10:45:16 +08:00
fwcd	d1d8ac57f3	Cocoa/highgui: Set activateIgnoringOtherApps	2022-11-01 18:24:10 +01:00
Alexander Alekhin	ee9137f176	Merge pull request #22725 from zihaomu:fix_infinit_loop_in_tf	2022-10-31 17:03:03 +00:00
Zihao Mu	903bf0147e	Merge pull request #22666 from zihaomu:support_onnx_qdq_model ... DNN: let Quant and Dequant of ONNX_importer support the Constant input. * let Quant and Dequant support the Constant input. * fix negative value of axis.	2022-10-31 16:06:31 +00:00
Alexander Alekhin	540aa13300	Merge pull request #22718 from zihaomu:improve_stackblur	2022-10-31 15:54:53 +00:00
Zihao Mu	18fbb72f7d	fix the infinite loop in tf importer.	2022-10-31 20:10:25 +08:00
JopKnoppers	0b5fd4f6bb	Included thread in gapi_async_test.cpp ... Preventing: gapi_async_test.cpp:448:26: error: ‘sleep_for’ is not a member of ‘std::this_thread’	2022-10-31 12:19:04 +01:00
Alexander Alekhin	87360c2ae5	Merge pull request #22601 from cpoerschke:4.x-issue-22595	2022-10-30 16:49:01 +00:00
Zihao Mu	17b98dd005	improve code style and Doc of stackblur.	2022-10-29 17:34:28 +08:00
Alexander Alekhin	028d4d83d3	imgproc: sigma2=sigma1 in top-level function of GaussianBlur	2022-10-28 17:04:53 +00:00
Dmitry Matveev	b619477be9	Fix issues with VA_INCLUDE_HEADERS when building with CUDA support ... ...and not only?	2022-10-28 04:02:35 +00:00
Alexander Smorkalov	778faddbd8	Merge pull request #22463 from hanliutong:rvv ... Redesign the SIMD macro.	2022-10-27 14:16:03 +03:00
Alexander Smorkalov	f644634aa6	Merge pull request #22702 from kallaballa:ffmpeg_environment_variables ... Dump the values of OPENCV_FFMPEG_CAPTURE_OPTIONS and OPENCV_FFMPEG_WRITER_OPTIONS to debug log	2022-10-27 12:18:52 +03:00
kallaballa	547f4c2c5a	print a debug message if the environment variables OPENCV_FFMPEG_CAPTURE_OPTIONS and OPENCV_FFMPEG_WRITER_OPTIONS are set	2022-10-27 00:27:17 +02:00
HAN Liutong	5462a6be6e	Update SIMD macro for RVV backend.	2022-10-26 13:02:03 +00:00
Alexander Smorkalov	a60496f9df	Merge pull request #22633 from cudawarped:fix_3361 ... Reset cuda runtime error code to cudasuccess on runtime failure.	2022-10-26 15:48:06 +03:00
Alexander Smorkalov	a6fadfe1c2	libav for jetson tk1 does not provide libavutil/display.h.	2022-10-25 10:21:20 +03:00
Alexander Smorkalov	22f8fb4d5c	Do not fail tests in Yolo v7 model was not found.	2022-10-24 17:59:18 +03:00
Alexander Smorkalov	23edec83fb	Merge pull request #22667 from zihaomu:bug_fix_in_winograd ... DNN: bug fixed in Winograd	2022-10-21 17:54:13 +03:00
Alexander Smorkalov	e4cd430710	Merge pull request #22653 from WanliZhong:issue22597 ... DNN-TF: let StridedSlice layer support const input	2022-10-21 17:51:00 +03:00
Dmitry Kurtaev	35b2cff295	Merge pull request #22656 from dkurt:halide_fixes ... * Fixes for Halide * Enable some Halide tests	2022-10-21 17:49:49 +03:00
Zihao Mu	cee8c86b6e	fixed bug at winograd of SIMD128 and more robust code.	2022-10-21 19:14:54 +08:00
Maksim Shabunin	c0a84dcc85	Merge pull request #22651 from mshabunin:script-doc ... ts: basic documentation for utility scripts	2022-10-20 14:11:02 +03:00
Alexander Smorkalov	e80b443cd9	Merge pull request #22659 from AleksandrPanov:qr_reduce_extra_adaptiveThreshold ... QR code, reduce extra adaptiveThreshold()	2022-10-20 12:05:17 +03:00
Alexander Smorkalov	5d292826b2	Merge pull request #22593 from zihaomu:optimize_wino ... optimize winograd futher more	2022-10-19 13:08:32 +03:00
Alexander Smorkalov	f378f02954	Merge pull request #22652 from rogday:cuda_test_fixes ... Address CUDA-related errors	2022-10-19 09:37:12 +03:00
Zhi-Qiang Zhou	c8561eae2d	Update region_layer.cpp ... Fix objectness (dstData[index + 4]) is not assigned if new_coords == 1.	2022-10-19 11:17:23 +08:00
AleksandrPanov	ba575fd4ad	reduce extra adaptiveThreshold()	2022-10-18 23:25:41 +03:00
Smirnov Egor	dd14cf6a9c	address CUDA-related errors and enable cuda in elementwise ops	2022-10-18 16:54:42 +03:00
Hashem Zavvari	6eb34716b8	Merge pull request #22635 from hzawary:4.x ... Setting CAP_PROP_AUTO_EXPOSURE on VideoCapture with backend DSHOW does not change anything. Now with this implementation the property can be used with value 1 for availability.	2022-10-18 11:13:08 +03:00
Alexander Smorkalov	ec7fc5adca	Merge pull request #22529 from fengyuentau:scatter_scatternd ... DNN: supports Scatter and ScatterND from ONNX	2022-10-17 14:57:46 +03:00
Alexander Smorkalov	02143cd0e2	Merge pull request #22531 from zihaomu:stop_rely_name ... Parsing quantized nodes does not rely on names	2022-10-17 11:20:24 +03:00
Alexander Smorkalov	1c5dcbcac8	Merge pull request #22639 from WanliZhong:issue#22625 ... DNN: Make Unsqueeze layer support negative axes	2022-10-17 09:27:49 +03:00
fengyuentau	d24d8f2abe	implementation of scatter and scatternd with conformance tests enabled	2022-10-17 11:30:32 +08:00
Alexander Alekhin	584ea43b2f	Merge pull request #22527 from paroj:misc	2022-10-16 19:08:13 +00:00
Alexander Alekhin	762481411d	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-10-15 16:44:47 +00:00
zoom	d816442e4d	Make Unsqueeze layer support negative axes.	2022-10-14 18:00:19 +08:00
Alexander Alekhin	ea5ca16036	Merge pull request #22617 from changh95:4.x	2022-10-14 09:17:16 +00:00
Alexander Smorkalov	2991717191	Merge pull request #22637 from alalek:docs_fix_links_generation_22572 ... docs: prefer # for links generation	2022-10-14 09:18:27 +03:00
Zihao Mu	0fa43e3aac	Optimize the winograd futher more.	2022-10-14 10:15:45 +08:00
Hyunggi Chang	085fb78e85	fix typo (portatibility -> portability)	2022-10-13 21:39:52 +00:00
Alexander Alekhin	a565aa6db9	docs: prefer # for links generation ... - avoid `@ref` - align with 4.x branch (minimize merge conflicts)	2022-10-13 20:55:53 +00:00
Alexander Alekhin	2763f988da	Merge pull request #22526 from paroj:pyrect	2022-10-13 11:46:28 +00:00
cudawarped	f89dee4f3e	Reset cuda error code to cudasuccess.	2022-10-13 10:15:40 +03:00
Pavel Rojtberg	70779d4e66	calib3d: use OCV_LAPACK_FUNC	2022-10-12 17:01:28 +02:00
Pavel Rojtberg	35f43cc429	core: expose rectangle intersection to bindings	2022-10-12 14:08:12 +02:00
zoom	9119692bb8	let StridedSlice layer support const input	2022-10-12 11:50:44 +08:00
Harvey Huang	8b0aa6a64d	Merge pull request #21966 from Harvey-Huang:Unicode_Path ... Support use memory buffer to read multi-page image	2022-10-11 14:25:35 +03:00
Alexander Smorkalov	ec26541771	Merge pull request #22577 from zihaomu:Disable_winograd_branch_in_tryquantize ... DNN: add enableWinograd API for Net	2022-10-11 09:44:00 +03:00
Alexander Smorkalov	1c825dd509	Merge pull request #22613 from erasta:patch-1 ... Opencv.js: on imread add willReadFrequently to getContext	2022-10-11 09:42:55 +03:00
Zihao Mu	d9eff7daeb	parse quantized nodes does not rely on name.	2022-10-10 17:08:46 +08:00
Alexander Smorkalov	3419e64dcf	Merge pull request #22611 from zihaomu:greaterOrEqual ... DNN: support GreaterOrEqual and LessOrEqual op in ONNX	2022-10-10 11:43:44 +03:00
Zihao Mu	1e2ceca4df	add enableWinograd API for Net.	2022-10-09 09:33:07 +08:00
Alexander Alekhin	347246901e	Merge pull request #21745 from alalek:dnn_plugin_openvino	2022-10-08 22:32:25 +00:00
Eran Geva	68bd156a71	add willReadFrequently on imread in js	2022-10-08 12:05:33 +03:00
Zihao Mu	9821fae59d	add greater_or_equal and less_or_equal ONNX support	2022-10-08 15:51:40 +08:00
Alexander Alekhin	43b2bb2c25	dnn: plugin support for OpenVINO	2022-10-07 16:57:31 +00:00
Petr Glotov	a3ebafbdeb	Merge pull request #21942 from pglotov:add-blob-contours ... added blob contours to blob detector * added blob contours * Fixed Java regression test after new parameter addition to SimpleBlobDetector. * Added stub implementation of SimpleBlobDetector::getBlobContours to presume source API compatibility.	2022-10-07 19:07:51 +03:00
Alexander Smorkalov	5cd07006f6	Merge pull request #22329 from chinery:stitching-py-fixes ... Fix stitching Python bindings (and one stitching_detailed.cpp bug)	2022-10-07 15:03:37 +03:00
Alexander Smorkalov	3d350a002e	Merge pull request #22562 from cudawarped:add_bindings_to_cuda_fastNlMeansDenoising ... Add bindings to CUDA photo denoising functions	2022-10-07 14:55:14 +03:00
Alexander Smorkalov	f18b8cd569	Merge pull request #22606 from savuor:doc_fix_lmsolver ... Doc fix for LMSolver	2022-10-07 12:42:48 +03:00
Rostislav Vasilikhin	07c795408d	doc fix	2022-10-07 01:40:50 +02:00
TolyaTalamanov	5f50e7bafe	Criteria -> Criterion	2022-10-06 09:41:30 +00:00
TolyaTalamanov	e92716a1b6	Merge branch '4.x' of github.com:opencv/opencv into at/add-num-iter	2022-10-06 07:12:14 +00:00
Christine Poerschke	40ae06091d	add cvGetPropVisible_COCOA	2022-10-05 21:51:26 +01:00
TolyaTalamanov	839321642e	Move impl from class	2022-10-05 12:01:45 +00:00
TolyaTalamanov	9f88a65873	Fix functional pipeline tool tests	2022-10-04 14:23:05 +00:00
Alexander Smorkalov	4103567776	Merge pull request #22194 from heavyrain-lzy:fixbug_pyrup ... Fix the pyramid bug when src*2 < dst	2022-10-04 15:37:01 +03:00
Alexander Smorkalov	8f0edf6a1c	Merge pull request #22074 from bwang30:opencv-warpAffine-ippiw ... Add warpAffine IPPIW implementation to replace with old version	2022-10-04 14:38:00 +03:00
TolyaTalamanov	1113c9ab10	Support num_iters criteria for pipeline tool	2022-10-04 08:37:56 +00:00
Alexander Smorkalov	bf5d7c0c10	Merge pull request #22588 from TolyaTalamanov:at/sync-ie-request-pool ... G-API: Add synchronous execution for IE backend	2022-10-04 11:32:21 +03:00
Alexander Smorkalov	fef8d4c990	Merge pull request #22017 from xiong-jie-y:py_onnx ... Add python bindings for G-API onnx	2022-10-04 10:33:10 +03:00
TolyaTalamanov	5a0c85b3ef	Refactor tests	2022-10-04 07:05:40 +00:00
TolyaTalamanov	9fd877acc9	Merge branch '4.x' of github.com:opencv/opencv into at/sync-ie-request-pool	2022-10-04 06:48:28 +00:00
robin	ed3b56d763	Add warpAffine IPPIW implementation protected by ipp NE flag ... Signed-off-by: robin <bin.wang@intel.com>	2022-10-04 08:40:44 +03:00
Kumataro	2f79b1b087	Merge pull request #22404 from Kumataro:3.4-fix22388_2 ... * imgcodecs: tiff: Reduce memory usage to read 16bit image. * imgcodecs: tiff: Reduce memory usage to read 8bit images * imgcodecs: tiff: split basic test and full test. * imgcodecs: tiff: fix to warning C4244 * imgcodecs: tiff: fix to warning C4244	2022-10-03 18:24:15 +03:00
Alexander Smorkalov	7208f63221	Merge pull request #22583 from TolyaTalamanov:at/add-cfg-output-precision-for-ie-backend ... G-API: API for configuring model output precision for IE backend	2022-10-03 15:54:00 +03:00
TolyaTalamanov	0cd4396180	Expand modeling tool to support infer_mode	2022-10-03 11:08:15 +00:00
TolyaTalamanov	aafb7567c1	Add tests	2022-10-03 10:58:21 +00:00
TolyaTalamanov	cf5db9b94f	Add handle to configure async/sync infer mode	2022-10-03 09:43:50 +00:00
TolyaTalamanov	589b6c15f0	Fix windows warning	2022-10-03 09:43:50 +00:00
TolyaTalamanov	2af0813634	Add sync/async executors for infer request	2022-10-03 09:43:50 +00:00
TolyaTalamanov	15d2a5faf8	Add sync infer request	2022-10-03 09:43:50 +00:00
TolyaTalamanov	b1d28d5b4a	Expand performance report	2022-10-03 09:04:49 +00:00
TolyaTalamanov	a6fbd8287c	Fix comments to review	2022-10-03 08:04:31 +00:00
TolyaTalamanov	b0b77b3047	Add cfgOutputPrecision	2022-10-03 08:04:31 +00:00
Alexander Smorkalov	96844b0ca5	Merge pull request #22554 from WanliZhong:slice_axes_no_seq ... DNN: Let Slice layer support non-sequential and negative axes	2022-10-03 10:15:55 +03:00
Biswapriyo Nath	6cf0910842	Merge pull request #22462 from Biswa96:fix-directx-check ... * cmake: Fix DirectX detection in mingw The pragma comment directive is valid for MSVC only. So, the DirectX detection fails in mingw. The failure is fixed by adding the required linking library (here d3d11) in the try_compile() function in OpenCVDetectDirectX.cmake file. Also add a message if the first DirectX check fails. * gapi: Fix compilation with mingw These changes remove MSVC specific pragma directive. The compilation fails at linking time due to absence of proper linking library. The required libraries are added in corresponding CMakeLists.txt file. * samples: Fix compilation with mingw These changes remove MSVC specific pragma directive. The compilation fails at linking time due to absence of proper linking library. The required libraries are added in corresponding CMakeLists.txt file.	2022-10-03 08:37:36 +03:00
Alexander Alekhin	1646a21197	Merge pull request #22505 from asmorkalov:as/matcher_score_thresh	2022-10-01 12:05:03 +00:00
zoom	4557971481	enhance slice layer ... refactor the code for parsing Slice layer add test for Slice layer let 'begin' and 'end' resize to dims add opset message comment	2022-10-01 17:12:07 +08:00
cudawarped	8baf46c0a8	Add bindings and test	2022-09-30 12:31:24 +03:00
ocpalo	d18362c726	fix warnings in ImageCollection	2022-09-29 20:48:51 +03:00
Alexander Smorkalov	b403d37267	Merge pull request #20379 from zihaomu:stackblur ... Add StackBlur for imgproc	2022-09-29 16:24:20 +03:00
Alexander Smorkalov	2d189e24ee	Merge pull request #22580 from seanm:Wextra-semi ... Fixed most clang -Wextra-semi warnings	2022-09-29 11:50:20 +03:00
Alexander Smorkalov	c8c29b0f1a	Merge pull request #22585 from opencv:zm/remove-code-1 ... DNN: Remove unused code in onnx_importer.cpp	2022-09-29 11:44:19 +03:00
Alexander Smorkalov	784dd55d88	Extracted matches_confindece_thresh as stitching matcher parameter.	2022-09-29 09:04:24 +03:00
Alexander Smorkalov	adb916ce82	Merge pull request #22358 from AleksandrPanov:qrcode_x86_arm ... QRcode, change INTER_LINEAR to INTER_LINEAR_EXACT	2022-09-29 08:56:07 +03:00
Zihao Mu	15cfafb360	DNN: Remove unused code in onnx_importer.cpp	2022-09-29 10:53:43 +08:00
AleksandrPanov	d43cb4fe7c	change resize flag INTER_LINEAR to INTER_LINEAR_EXACT ... fix python test_detect_and_decode_multi, sort QR in multiDetect/multiDecode enable tests with "version_5_up.jpg", "version_5_top.jpg"	2022-09-28 23:52:24 +03:00
Vincent Rabaud	38c9c20a35	Move marking memory as initialized earlier.	2022-09-28 21:58:17 +02:00
Alexander Smorkalov	c189f31f23	Merge pull request #22552 from alvoron:ocv_ov_instruction ... OpenCV for OpenVINO documentation	2022-09-28 15:14:57 +03:00
Voron	cbf43a54fb	added opencv for openvino tutorial	2022-09-28 12:05:28 +02:00
Zihao Mu	2918071a3e	add stackblur for imgproc.	2022-09-28 17:47:32 +08:00
Sean McBride	1829eba584	Fixed most clang -Wextra-semi warnings	2022-09-27 18:06:46 -04:00
Alexander Smorkalov	3a64607d94	Merge pull request #22518 from TolyaTalamanov:at/expand-modeling-tool-to-support-config-in-yml ... [G-API] Pipeline modeling tool - support local infer node config	2022-09-27 14:24:35 +03:00
catree	c34c4b50d0	Add information about the disparity-to-depth mapping matrix. Add more references about other related functions in the calib3d doc.	2022-09-26 18:40:18 +02:00
TolyaTalamanov	4521d66103	Remove r-value ref	2022-09-26 11:53:57 +00:00
Alexander Smorkalov	3d9f27b877	Report that animated webp is not supported for now.	2022-09-26 13:53:49 +03:00
HAN Liutong	df24bd295d	Fix v_signmask for RISC-V Vector.	2022-09-23 11:28:50 +00:00
Alexander Smorkalov	04ebedb6f0	Merge pull request #22128 from ocpalo:multipage_img_decoder ... [GSoC 2022] Multipage Image Decoder API	2022-09-21 16:10:22 +03:00
Alexander Smorkalov	bfeeb0ad70	Merge pull request #22285 from asenyaev:asen/disabled_compiling_warnings_3.4 ... Disabled compiling warnings in case of symbols in cmake for 3.4	2022-09-20 15:14:36 +03:00
Alexander Smorkalov	2273af0166	Merge pull request #22286 from asenyaev:asen/disabled_compiling_warnings_4.x ... Disabled compiling warnings in case of symbols in cmake for 4.x	2022-09-20 15:13:06 +03:00
Andrey Senyaev	ccfc34b13f	Disabled compiling warnings in case of symbols in cmake for 4.x	2022-09-20 13:35:48 +03:00
Andrey Senyaev	3f4abcb228	Disabled compiling warnings in case of symbols in cmake for 3.4	2022-09-20 13:34:17 +03:00
Alexander Smorkalov	f2ccce23f3	Merge pull request #22512 from alalek:build_warning_gcc12_uninitialized ... build: eliminate uninitialized warnings from GCC12	2022-09-20 09:29:00 +03:00
Berke	062cee2933	new multipage image decoder api - ImageCollection	2022-09-19 20:27:01 +03:00
Alexander Smorkalov	fcf9f117b0	Merge pull request #22519 from stefan-spiss:stereo_calib_per_obj_extr_ret ... Stereo Calibration: Return rotation and transformation vectors for each calibration object	2022-09-19 17:37:40 +03:00
Alexander Smorkalov	0ab4872032	Merge pull request #22511 from alalek:dnn_build_warning_gcc12 ... dnn: eliminate GCC12 warning in total() call	2022-09-19 16:22:54 +03:00
Alexander Smorkalov	a6274647a4	Merge pull request #21738 from rogday:gather ... add Gather implementation	2022-09-19 16:21:14 +03:00
Egor Smirnov	65f71ce2eb	add Gather implementation	2022-09-19 15:06:44 +03:00
Alexander Smorkalov	6aefb8e86f	Merge pull request #22290 from fengyuentau:naive_yolov7 ... Support for YOLOv7 ONNX (not simplified)	2022-09-19 14:43:18 +03:00
fengyuentau	4aef9b1c93	dnn: support yolov7 (not simplified)	2022-09-19 18:38:03 +08:00
Alexander Smorkalov	0ac67ee8d9	Merge pull request #22343 from komakai:android_cam_polling ... Poll for frame data if acquisition fails after OnCaptureCompleted	2022-09-19 08:51:13 +03:00
Alexander Alekhin	66b3155a48	Merge pull request #22332 from komakai:android-cam-stride	2022-09-18 14:26:11 +00:00
Giles Payne	b3adffe437	Android Camera: poll for frame data if acquisition fails after OnCaptureCompleted	2022-09-18 13:41:36 +09:00
TolyaTalamanov	ec92f3fefa	Apply comments ... * Rename intersectMapWith -> mergeMapWith * Remove macro * Add r-value ref	2022-09-16 15:24:13 +00:00
Alexander Smorkalov	1ae801554d	Merge pull request #22507 from TolyaTalamanov:at/replace-mfx-major-version-assert-to-warning ... G-API: Replace MFX major version assertion to warning	2022-09-16 11:21:08 +03:00
Alexander Smorkalov	e1e9261450	Merge pull request #22479 from scottchou007:master ... Fix issues in opencv_test_dnn from conv48 kernels without bias	2022-09-16 09:05:55 +03:00
scottchou007	a3cb2020bc	Fix issues in opencv_test_dnn from conv48 kernels using uninitialized tensors when there is no bias.	2022-09-15 13:41:27 -07:00
Alexander Smorkalov	a6017ac550	Merge pull request #22145 from danopdev:issues-22141 ... Fixed time value obtained on some frames at the end of the video #22141	2022-09-15 19:18:58 +03:00
Alexander Smorkalov	48e50a7674	Extended video timestamp test to cover fix for the issue #22141.	2022-09-15 18:03:23 +03:00
Stefan Spiss	66cbb7b911	Extended tests for stereoCalibrate function of fisheye camera model.	2022-09-15 13:28:41 +02:00
Stefan Spiss	9ca3a3139a	Extended tests for stereoCalibrate function of pinhole camera model.	2022-09-15 13:28:41 +02:00
Stefan Spiss	6fb465cb4e	Extended stereoCalibrate function for fisheye model to return per view rotation and translation vectors between the calibration object coordinate space and the coordinate space of the first camera of the stereo pair. Added overloaded versions of the function for downward compatibility.	2022-09-15 13:28:41 +02:00
Stefan Spiss	8ae03fcd6e	Extended stereoCalibrate function for pinhole model to return per view rotation and translation vectors between the calibration object coordinate space and the coordinate space of the first camera of the stereo pair. Added overloaded versions of the function for downward compatibility.	2022-09-15 13:28:41 +02:00
Dan	122250b554	fix #22490	2022-09-15 13:24:18 +02:00
TolyaTalamanov	eb8883160d	Support config as part of Infer node in yml	2022-09-15 10:47:13 +00:00
Alexander Smorkalov	8af4fe9ed3	Merge pull request #22495 from cpoerschke:4.x-issue-22483 ... add explicit onChange callback in cocoa cvSetTrackbarPos	2022-09-14 20:40:24 +03:00
Dan	13823f117b	#22214 and #22198	2022-09-14 14:19:04 +02:00
Alexander Alekhin	2e15582799	build: eliminate uninitialized warnings from GCC12	2022-09-14 11:58:43 +00:00
Alexander Alekhin	65bdb3a544	dnn: eliminate GCC12 warning in total() call	2022-09-14 11:37:00 +00:00
Alexander Smorkalov	ac91c45b0f	Merge pull request #22498 from alalek:update_ffmpeg_4.x ... ffmpeg/4.x: update FFmpeg wrapper 2022.09	2022-09-14 09:34:12 +03:00
Henrik Dobbe Flemmen	6481cfd048	Update the fourcc codes link	2022-09-14 09:25:57 +03:00
Alexander Smorkalov	364b3f181d	Merge pull request #22372 from ocpalo:libjpegturbo_nasm ... [GSoC 2022] nasm/simd support for libjpeg-turbo	2022-09-14 09:08:28 +03:00
Andrew Chinery	26a7647e0e	Fix stitching Python bindings PR #22329	2022-09-13 14:35:42 +01:00
Alexander Smorkalov	8eb036fb3c	Merge pull request #22040 from CNClareChen:4.x ... Optimize the cvCeil and cvFloor functions for LoongArch	2022-09-13 16:26:20 +03:00
Hao Chen	fce8349c99	Optimize the cvCeil and cvFloor functions. ... This patch optimizes the cvCeil and cvFloor functions on the LoongArch platform. Signed-off-by: Hao Chen <chenhao@loongson.cn>	2022-09-13 10:49:09 +03:00
TolyaTalamanov	5ea912e778	Change warning message	2022-09-13 08:28:34 +01:00
Alexander Smorkalov	c2c8da2517	Merge pull request #22448 from Ichini24:reshape-permutations-fix ... changed names of permutations if Reshpe is in NHWC	2022-09-13 09:24:56 +03:00
ocpalo	d717de5719	nasm/simd support for libjpeg-turbo	2022-09-12 20:26:26 +03:00
TolyaTalamanov	bcc19a622d	Replace MFX major version assertion to warning	2022-09-12 17:54:00 +01:00
Alexander Alekhin	fb3fc5322c	videoio(ffmpeg): update tests with new Windows wrapper	2022-09-12 13:09:40 +00:00
cudawarped	46d988e2cb	Merge pull request #22248 from cudawarped:ffmpeg_rtsp_low_fps ... * Allow the number of threads FFMpeg uses to be selected during VideoCapture::open(). Reset interupt timer in grab if err = avformat_find_stream_info(ic, NULL); is interupted but open is successful. * Correct the returned number of threads and amend test cases. * Update container test case. * Reverse changes added to existing videoio_container test case and include test combining thread change and raw read in the newly added videoio_read test case.	2022-09-12 09:12:28 +03:00
Christine Poerschke	cb1a1e9a51	add explicit onChange callback in cocoa cvSetTrackbarPos	2022-09-11 16:40:27 +01:00
wxsheng	4154bd0667	Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX ... * Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX * Add resize.lasx.cpp for Loongson SIMD acceleration * Add imgwarp.lasx.cpp for Loongson SIMD acceleration * Add LASX acceleration support for dnn/conv * Add CV_PAUSE(v) for Loongarch * Set LASX by default on Loongarch64 * LoongArch: tune test threshold for Core/HAL.mat_decomp/15 Co-authored-by: shengwenxue <shengwenxue@loongson.cn>	2022-09-10 09:39:43 +03:00
Alexander Smorkalov	866191478f	Merge pull request #22037 from xiong-jie-y:py_gapi_add_state_kernel ... Add stateful kernel to python G-API	2022-09-09 15:13:22 +03:00
Alexander Smorkalov	c9060b053d	Merge pull request #22451 from dmatveev:dm/abstract_execs ... G-API: Introduce abstract base classes for GExecutor and GStreamingExecutor	2022-09-09 13:42:42 +03:00
Yuantao Feng	9dc844a6e1	Merge pull request #22346 from fengyuentau:mat1d_part1 ... Changes separated from Mat 1D support in core #18594 (#22346)	2022-09-09 12:56:30 +03:00
Alexander Alekhin	ca7f964104	dnn: use inheritance for OpenVINO net impl	2022-09-06 18:05:00 +00:00
Alexander Smorkalov	b26fc6f31b	Merge pull request #22466 from sturkmen72:patch-4 ... Improvement on error handling for HoughCircles	2022-09-06 12:01:59 +03:00
TolyaTalamanov	7955469f7c	Fix problem with handleNewStream functionality	2022-09-06 08:52:35 +01:00
Alexander Alekhin	2ac62bccec	videoio(test): fix build warning	2022-09-05 16:53:08 +00:00
Suleyman TURKMEN	22eb91a7e0	Update hough.cpp	2022-09-05 18:58:20 +03:00
Alexander Smorkalov	448e3a7e58	Merge pull request #22226 from ocpalo:libspng ... [GSoC 2022] spng encoder/decoder added as optional png codec	2022-09-05 13:25:41 +03:00
TolyaTalamanov	bf54a370e5	Add tests for stateful kernel functionality	2022-09-04 20:15:53 +01:00
anton	337452b4c0	changed names of permutations if Reshpe is in NHWC	2022-09-03 19:02:41 +02:00
Alexander Alekhin	5bb098ba5d	Merge pull request #22456 from TolyaTalamanov:at/onevpl-fixes-linux	2022-09-02 21:55:49 +00:00
Alexander Alekhin	4159842195	Merge pull request #22454 from zihaomu:bug_fix_22450	2022-09-02 21:55:29 +00:00
Zihao Mu	b69b1eae8f	fix bug 22450	2022-09-02 16:30:06 +08:00
ocpalo	c4a6e1fd4d	decode chunks and calculate checksums	2022-08-31 20:39:33 +03:00
Alexander Smorkalov	3456d28cc2	Merge pull request #22429 from hanliutong:more-rvv-intrin	2022-08-31 13:14:43 +00:00
Alexander Smorkalov	f376bfe95d	Merge pull request #22436 from Harvey-Huang:4-bit_palette_color	2022-08-31 10:33:59 +00:00
Alexander Smorkalov	a72074b33f	Merge pull request #22164 from lamm45:hough-angles ... Fix angle discretization in Hough transforms	2022-08-31 12:23:52 +03:00
Alexander Smorkalov	5185544864	Enabled EXIF orientation tests for libspng.	2022-08-31 11:57:48 +03:00
lamm45	1f0bfc8d83	Fix angle discretization in Hough transforms ... In some situations the last value was missing from the discrete theta values. Now, the last value is chosen such that it is close to the user-provided maximum theta, while the distance to pi remains always at least theta_step/2. This should avoid duplicate detections. A better way would probably be to use max_theta as is and adjust the resolution (theta_step) instead, such that the discretization would always be uniform (in a circular sense) when full angle range is used.	2022-08-30 18:46:16 -04:00
Dmitry Matveev	a122f0f248	G-API: Introduce GAbstractStreamingExecutor ... Now GStreamingExecutor is its subclass; others to come	2022-08-30 23:50:34 +03:00
Dmitry Matveev	a31fb88fd0	G-API: Introduce GAbstractExecutor ... GExecutor is now a subclass of GAbstractExecutor. Other to come	2022-08-30 22:48:29 +03:00
Alexander Smorkalov	70fb1cd603	Merge pull request #22440 from zihaomu:fix_conv_bug	2022-08-30 07:01:05 +00:00
Alexander Smorkalov	d2c48b898c	Merge pull request #22306 from zihaomu:qgemm_and_squeeze_opset13_onnximporter	2022-08-30 06:33:57 +00:00
Zihao Mu	2d837efba7	add qgemm and squeeze op13 supported on ONNXImporter	2022-08-30 09:50:29 +08:00
Alexander Smorkalov	1fd45a1b85	Merge pull request #22362 from fengyuentau:conv_asym_pad_fuse ... Remove asymmetric padding in Conv layer since it is supported in CPU backend	2022-08-29 17:56:17 +03:00
Zihao Mu	2cd7e17b65	replace v_add with +	2022-08-29 17:15:35 +08:00
Alexander Smorkalov	2619099fe5	Merge pull request #22337 from zihaomu:load_ONNX_fp16_as_fp32 ... DNN: load fp16 ONNX model as fp32	2022-08-29 09:32:25 +03:00
fengyuentau	2959286eb5	tengine: supports conv with asymmetric padding	2022-08-29 02:51:26 +00:00
Harvey	a4b191a7e0	4-bit_palette_color	2022-08-29 10:21:17 +08:00
Berke	3929e26276	spng encoder/decoder added as optional png codec	2022-08-29 00:03:43 +03:00
Alexander Alekhin	a1d5565e65	Merge pull request #22432 from dmatveev:dm/ade_012a	2022-08-28 17:50:15 +00:00
Zihao Mu	9638e34ab0	reuse WORDS_BIGENDIAN.	2022-08-27 07:42:38 +08:00
Dmitry Matveev	ed9d4c0b2b	G-API: Update ADE to v0.1.2a to fix new Windows warnings	2022-08-26 21:29:56 +03:00
Zihao Mu	bb64db98d8	Further optimization of Conv2D, fused Conv_Add_Activation, bring latest code from ficus OpConv.fx. (#22401)	2022-08-26 12:57:25 +03:00
Alexander Smorkalov	67fa8a2f47	Merge pull request #22236 from mizo:v4l2-multi-planar-v2 ... V4L2: Add multi-planar capture support	2022-08-26 12:51:19 +03:00
Alexander Smorkalov	560eba91e5	Merge pull request #22347 from bu3w:filter-camera-streaming-by-format ... select correct MediaType in MSMF backend.	2022-08-26 12:49:47 +03:00
Alexander Smorkalov	42561e1233	Merge pull request #22333 from cudawarped:fix_for_21101 ... Fix video codec fourcc #21101	2022-08-26 12:34:33 +03:00
HAN Liutong	7e2c8cc9f4	Add remaining intrinsics.	2022-08-26 07:06:51 +00:00
Zihao Mu	7eaec9dd22	load fp16 as fp32 and align fp16 and double in onnx_graph_simplifie	2022-08-26 10:04:44 +08:00
AleksandrPanov	2dd3408caa	change resize interpolation to enable tests in arm, disable close_5	2022-08-25 14:27:18 +03:00
Alexander Alekhin	3651831e7e	Merge pull request #22411 from zihaomu:remove_whitespace	2022-08-24 21:57:36 +00:00
TolyaTalamanov	a1d752bfc0	OneVPL fixes	2022-08-24 17:30:32 +01:00
Alexander Smorkalov	d10832074e	Merge pull request #22353 from hanliutong:more-rvv-intrin ... [GSoC] Add more universal intrinsic implementations for RVV.	2022-08-23 12:50:01 +03:00
Daisuke Mizobuchi	a001ab3a44	V4L2: Add multi-planar capture support ... Devices which only support multi-planar capture cannot be processed as single-planar. Add multi-planar support to v4l driver.	2022-08-23 15:52:04 +09:00
MENG Yu	6432f02996	select correct MediaType in MSMF backend.	2022-08-22 12:09:28 +08:00
Zihao Mu	1fb8d60fd2	remove whitespace	2022-08-22 11:14:59 +08:00
Zihao Mu	5e92bf8e41	support silu activation in darknet	2022-08-22 10:51:29 +08:00
Anatoliy Talamanov	925ff6241f	Merge pull request #22393 from TolyaTalamanov:at/fix-gapi-vpl-windows-build ... * Fix G-API OneVPL compilation * Fix macro __WIN32__ -> _WIN32	2022-08-20 20:24:41 +03:00
Alexander Smorkalov	e14c3cff85	Merge pull request #22403 from Biswa96:add-locale-header	2022-08-19 10:01:23 +00:00
Biswapriyo Nath	984e42b0bc	videoio: Include missing locale header for std::wstring_convert ... This fixes the following error with mingw toolchain: opencv/modules/videoio/src/cap_msmf.cpp:1020: error: 'wstring_convert' is not a member of 'std' 1020 | std::wstring_convert<std::codecvt_utf8_utf16<wchar_t>> conv; | ^~~~~~~~~~~~~~~ opencv/modules/videoio/src/cap_ffmpeg_hw.hpp:230:26: error: 'wstring_convert' is not a member of 'std' 230 | std::wstring_convert<std::codecvt_utf8_utf16<wchar_t>> conv; | ^~~~~~~~~~~~~~~ The locale header is required according to C++ standard. See https://en.cppreference.com/w/cpp/locale/wstring_convert	2022-08-19 13:15:58 +05:30
Alexander Smorkalov	0702685e7e	Merge pull request #22395 from hzcyf:infinite_loop_fix	2022-08-19 07:11:09 +00:00
Alexander Smorkalov	7deb8f568f	Merge pull request #22377 from Biswa96:condition_variable	2022-08-18 11:31:21 +00:00
Alexander Smorkalov	d8434e6875	Merge pull request #22396 from dmatveev:dm/ade-012 ... G-API: Bump ADE to version 0.1.2	2022-08-18 14:28:44 +03:00
HAN Liutong	b9a1039566	Remove the test log in test_interleave_pq.	2022-08-18 08:01:09 +00:00
Dmtiry Matveev	03130548ea	G-API: Bump ADE to version 0.1.2	2022-08-18 07:50:22 +03:00
hzcyf	11c5a6bb4d	Fix infinite loop in obsensor	2022-08-18 12:22:22 +08:00
HAN Liutong	8dc332721f	Add testcases for interleave_p&q and enable others testcases.	2022-08-17 14:39:23 +00:00
HAN Liutong	189f647264	Add implementation for zip, transpose, interleave, reverse and combine.	2022-08-17 14:38:38 +00:00
AleksandrPanov	7ffb103758	QRcode, change INTER_LINEAR to INTER_LINEAR_EXACT ... fix python test_detect_and_decode_multi fix python test_detect_and_decode_multi, sort QR in multiDetect/multiDecode enable tests with "version_5_up.jpg", "version_5_top.jpg" remove lambda	2022-08-16 10:24:54 +03:00
Alexander Smorkalov	9fcf015214	Merge pull request #22376 from zihaomu:issue_22373	2022-08-15 10:00:11 +00:00
Alexander Smorkalov	ffccfa2ee9	Merge pull request #22325 from komakai:fix-quicklook	2022-08-15 09:25:43 +00:00
Zihao Mu	d3dcef4b8b	add new check for vidcap.h	2022-08-15 16:44:25 +08:00
Alexander Alekhin	2ebdc04787	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-08-14 15:50:42 +00:00
Alexander Alekhin	cc8add9f66	Merge pull request #22370 from catree:fix_22242_filter2d_float_double_doc	2022-08-14 15:04:12 +00:00
Biswapriyo Nath	c2c539e3cc	videoio: Include missing condition_variable header ... This fixes the following error with mingw toolchain: opencv/modules/videoio/src/cap_obsensor/obsensor_stream_channel_msmf.hpp:160:10: error: 'condition_variable' in namespace 'std' does not name a type 160 | std::condition_variable streamStateCv_; | ^~~~~~~~~~~~~~~~~~	2022-08-14 19:26:08 +05:30
fengyuentau	0cdff46725	tune for opencl	2022-08-14 17:47:48 +08:00
Alexander Alekhin	d0d115321d	Merge pull request #22350 from alalek:rework_psabi_warning	2022-08-13 15:05:41 +00:00
HAN Liutong	f572ae3474	add missing test cases(v_abs)	2022-08-12 14:13:26 +00:00
HAN Liutong	e65ad44b32	Remove redundant intrinsics.	2022-08-12 14:12:52 +00:00
catree	3d8614cb47	Fix documentation about depth combinations for imgproc functions.	2022-08-12 12:53:01 +02:00
HAN Liutong	80c82e10aa	Update implementations on arithmetics.	2022-08-12 06:51:41 +00:00
HAN Liutong	2fb652ce09	Add testcase for continuous mul and add.	2022-08-12 01:44:30 +00:00
Alexander Smorkalov	bb71cb200e	Merge pull request #22199 from zihaomu:bug_fix_22195 ... DNN: Reduce Layer (add dynamic batch and ReduceSum support)	2022-08-11 12:59:51 +03:00
fengyuentau	e7e814fa8c	remove asymmetric padding checks	2022-08-10 19:52:44 +08:00
Jochen Sprickerhof	496eed950f	Add missing header for LIBAVCODEC_VERSION_INT	2022-08-08 23:33:28 +02:00
HAN Liutong	f0d29cd33c	Add more universal intrinsic implementations for RVV.	2022-08-08 02:09:54 +00:00
Alexander Alekhin	44b2f9637a	Revert "suppress warning on GCC 7 and later" ... This reverts commit a630ad73cb.	2022-08-07 15:43:10 +03:00
Alexander Smorkalov	348b7383f9	Merge pull request #22160 from sturkmen72:update_highgui	2022-08-05 11:39:53 +00:00
Alexander Smorkalov	b2b7193374	Merge pull request #22311 from zihaomu:layer_fused_optmized_mish ... DNN: add another two Mish activation to onnx_graph_simplifier	2022-08-05 14:22:06 +03:00
Alexander Smorkalov	4c1e064a2b	Merge pull request #22250 from ocpalo:codec_fix	2022-08-05 07:52:32 +00:00
Alexander Smorkalov	88555948d0	Merge pull request #22339 from asenyaev:asen/obsensor_fix_for_win	2022-08-05 06:59:45 +00:00
Alexander Smorkalov	1893b37e23	Merge pull request #22057 from mohawk2:typos ... Typos: cheirality vs chirality	2022-08-03 16:27:46 +03:00
Alexander Smorkalov	c3cbd302cb	Merge pull request #22330 from zihaomu:skip_too_long_in_debug_test_dnn	2022-08-03 11:26:37 +00:00
Alexander Smorkalov	2ffa7ac0da	Merge pull request #22217 from CSharperMantle:CSharperMantle-patch-steady-clock ... Use `std::chrono::steady_clock` in `getTickCount`	2022-08-03 14:09:45 +03:00
Alexander Smorkalov	885a446b10	Merge pull request #22212 from SergeyIvanov87:gapi_vpl_multiple_devices ... G-API: VPL Add VAAPI into tests & VPL sample	2022-08-03 12:34:10 +03:00
Alexander Smorkalov	8bfe620fcc	Merge pull request #22313 from mateusztabaka:getline	2022-08-03 09:30:22 +00:00
Andrey Senyaev	129319b0bc	Fix in obsensor for VS 14	2022-08-03 12:14:15 +03:00
cudawarped	7ce83f2a95	Skip new test until pr built into windows ffmpeg dll.	2022-08-03 09:41:06 +03:00
cudawarped	4b05765174	Initial fix to try and return a valid fourcc when _opencv_avcodec_get_name fails.	2022-08-02 17:18:42 +03:00
Giles Payne	3390da6beb	Fix for frame stride wider than frame width for 1080p issue	2022-08-02 21:00:22 +09:00
Zihao Mu	0614c40b42	add more skip for very long test case in test_dnn.	2022-08-02 14:58:05 +08:00
Zihao Mu	d4640f4647	support ReduceLayer without reshape layer.	2022-08-02 10:32:31 +08:00
hzcyf	e951edeed3	fix linkage issue when enable BUILD_opencv_world (#22312)	2022-08-01 14:38:22 +08:00
gbowser3@gmail.com	e7a787aa41	Imgproc: Fix doxygen typo	2022-07-31 19:22:10 -05:00
Giles Payne	500e24d6cd	Fix bug ObjC/Swift Quicklook function; check only one channel when drawing Mat as matrix	2022-07-31 21:04:14 +09:00
Zihao Mu	57545653b1	replace new mish impl with softplus	2022-07-28 13:19:06 +08:00
Zihao Mu	3c5377ca1b	add another Mish graph simplifier.	2022-07-28 11:21:29 +08:00
Mateusz Tabaka	a89868928b	Fix compilation error on CentOS 7 (gcc 4.8) ... libstdc++ that comes with gcc 4.8 doesn't define `getline(basic_istream<char>&&, std::string&)` even if it's part of the c++11 standard. However we can still use the following: `getline(basic_istream<char>&, std::string&)`.	2022-07-27 13:24:25 +00:00
hzc	fc3e393516	videoio: add support for obsensor (Orbbec RGB-D Camera ) (#22196) ... * videoio: add support for obsensor (Orbbec RGB-D Camera ) * obsensor: code format issues fixed and some code optimized * obsensor: fix typo and format issues * obsensor: fix crosses initialization error	2022-07-26 14:35:34 +03:00
Alexander Alekhin	0862d69a6e	Merge pull request #22271 from tomoaki0705:dotprod_neon	2022-07-25 15:00:32 +00:00
Giles Payne	b8106e4ba4	Fix bug in Objective-C/Swift [Mat initWithSize:**] functions	2022-07-25 20:57:53 +09:00
Alexander Alekhin	6ce2f1316f	Merge pull request #22293 from mshabunin:fix-buffer-area-uas	2022-07-24 10:20:59 +00:00
Alexander Alekhin	294348939b	Merge pull request #22296 from alalek:fixup_22153	2022-07-24 10:20:13 +00:00
Alexander Alekhin	f8597fc150	imgproc: fixup leftovers of int->int64_t conversion	2022-07-24 12:39:25 +03:00
Alexander Alekhin	85b0b0cd77	build: add missing GCC condition for pragma	2022-07-24 12:19:37 +03:00
HAN Liutong	2bd72af2ef	Merge pull request #22292 from hanliutong:fix ... [GSoC] Fix compilation errors and warnings when using MSVC on Windows. * Pass reference of the argument. * Add some cast to suppress warnings.	2022-07-24 12:15:13 +03:00
Maksim Shabunin	f729202272	core: remove unnecessary pointer cleanup in BufferArea	2022-07-24 11:58:17 +03:00
HAN Liutong	3e3b53f815	Fix compile errors when all SIMD is disabled.	2022-07-21 08:14:32 +00:00
HAN Liutong	e2bfe0ce76	Use "#if" instead of "#ifdef" for CV_SIMD128.	2022-07-21 03:23:57 +00:00
Zihao Mu	98c33c605d	batchsize dynamic is set to index 0.	2022-07-20 19:02:16 +08:00
Tomoaki Teshima	b3269b08a1	neon: add dotprod dispatch implementation ... * read vector at runtime * add enum	2022-07-20 19:25:39 +09:00
@lizhiyu3	e59cff47d4	fix the right border	2022-07-20 17:03:09 +08:00
HAN Liutong	0ef803950b	Merge pull request #22179 from hanliutong:new-rvv ... [GSoC] New universal intrinsic backend for RVV * Add new rvv backend (partially implemented). * Modify the framework of Universal Intrinsic. * Add CV_SIMD macro guards to current UI code. * Use vlanes() instead of nlanes. * Modify the UI test. * Enable the new RVV (scalable) backend. * Remove whitespace. * Rename and some others modify. * Update intrin.hpp but still not work on AVX/SSE * Update conditional compilation macros. * Use static variable for vlanes. * Use max_nlanes for array defining.	2022-07-19 20:02:00 +03:00
Andrey Senyaev	1feabf4275	Fixed an issue with a recursion of cv2 in python	2022-07-19 13:52:29 +03:00
rogday	ed69bcae2d	Merge pull request #21865 from rogday:nary_eltwise_layers ... Reimplementation of Element-wise layers with broadcasting support * init * semi-working initial version * add small_vector * wip * remove smallvec * add nary function * replace auto with Mat in lambda expr used in transform * uncomment asserts * autobuffer shape_buf & step_buf * fix a missing bracket * fixed a missing addLayer in parseElementWise * solve one-dimensional broadcast * remove pre_broadcast_transform for the case of two constants; fix missing constBlobsExtraInfo when addConstant is called * one autobuffer for step & shape * temporal fix for the missing original dimension information * fix parseUnsqueeze when it gets a 1d tensor constant * support sum/mean/min/max with only one input * reuse old code to handle cases of two non-constant inputs * add condition to handle div & mul of two non-constant inputs * use || instead of or * remove trainling spaces * enlarge buf in binary_forward to contain other buffer * use autobuffer in nary_forward * generate data randomly and add more cases for perf * add op and, or & xor * update perf_dnn * remove some comments * remove legacy; add two ONNX conformance tests in filter * move from cpu_denylist to all_denylist * adjust parsing for inputs>=2 Co-authored-by: fengyuentau <yuantao.feng@opencv.org.cn>	2022-07-19 06:14:05 +03:00
Alexander Alekhin	1d134025a5	Merge pull request #22249 from fengyuentau:fix_for_22221	2022-07-16 11:59:30 +00:00
Alexander Alekhin	96a9cfab36	Merge pull request #22255 from r2d3:python_trackbar_macos	2022-07-16 07:40:40 +00:00
David Geldreich	60846b2b7a	correct an issue of trackbar on macOS ... Python binding is passing NULL as (int*)value. sliderChanged crash when trying to dereference value	2022-07-15 22:02:02 +02:00
Long Nguyen	199c2d2fd0	Define STRSAFE_NO_DEPRECATE for both clang and gcc mingw-w64	2022-07-15 18:01:15 +07:00
scorpiozj	bd54ba911d	Update imgproc.hpp ... fix Rect value of integral image example;	2022-07-15 16:35:12 +08:00
Alexander Alekhin	a9354fc743	Merge pull request #22229 from zihaomu:bug_fix_22195_3_4	2022-07-14 20:27:25 +00:00
Berke	b4b69ae484	release png,jpeg resources in destructor	2022-07-14 17:03:57 +03:00
fengyuentau	1c7b71bf9e	define data_layout as unknown for pack	2022-07-14 19:27:20 +08:00
Andrey Senyaev	d2b1e38207	Pragma to ignore -Waggressive-loop-optimizations on Linux ARM64	2022-07-14 11:17:38 +03:00
SergeyIvanov87	9ffb67478f	Address several comments	2022-07-13 18:49:48 +03:00
SergeyIvanov87	1dee848d3e	Remove clnn header from sample	2022-07-13 18:07:41 +03:00
Alexander Alekhin	afe1c70f2d	Merge pull request #22228 from CSharperMantle:CSharperMantle-patch-std-shuffle	2022-07-13 06:23:16 +00:00
Zihao Mu	1b8fba8e26	support ReduceSum with two input and dynamic shape batch size in ReduceLayer.	2022-07-13 13:46:16 +08:00
Zihao Mu	45fbb67aba	fix scale layer can not handle 1x1 weight correctly.	2022-07-13 11:25:27 +08:00
Alexander Alekhin	914005174f	Merge pull request #22153 from vrabaud:opencv_drawing	2022-07-12 22:23:35 +00:00
Alexander Alekhin	2a82467a6f	Merge pull request #22232 from tomoaki0705:dryCmake	2022-07-12 18:46:57 +00:00
Vincent Rabaud	ed4bf13960	Fix cleanFoundConnectedQuads.	2022-07-12 16:24:44 +02:00
Rong Mantle Bao	3135063100	Make objdetect/test C++11-compliant and reproducible ... - Add conditional compilation directives to replace deprecated std::random_shuffle with new std::shuffle when C++11 is available. - Set random seed to a fixed value before shuffling containers to ensure reproducibility. Resolves opencv/opencv#22209.	2022-07-12 20:18:54 +08:00
Tomoaki Teshima	87ef6a9cc1	build: suppress the warning ... DRY bump the version	2022-07-12 19:42:39 +09:00
SergeyIvanov87	ff31f90b7e	Fix sample WIN compilation	2022-07-12 13:08:55 +03:00
SergeyIvanov87	2b2ba534e2	Forbid Rctx in IE for VAAPI temporary, Add preproc VAAPI	2022-07-12 12:41:23 +03:00
SergeyIvanov87	3635b3dee7	Improve UX: autofill cfg param with proper accel type, printout cfg params	2022-07-12 10:54:12 +03:00
Rong Mantle Bao	fa613e393f	Read CV_CXX11 for C++11 detection	2022-07-10 19:21:17 +08:00
Rong Mantle Bao	db70676933	Use cross-platform std::chrono in getTickCount() ... Add conditional compilation directives to enable uses of std::chrono on supported compilers. Use std::chrono::steady_clock as a source to retrieve current tick count and clock frequency. Fixes opencv/opencv#6902.	2022-07-09 10:42:29 +08:00
SergeyIvanov87	b3b235ebc0	Apply WITHA_VA option in cmake	2022-07-08 17:15:31 +03:00
Alexander Alekhin	70492c2127	Merge pull request #22202 from tomoaki0705:fixWarnings	2022-07-08 13:48:11 +00:00
SergeyIvanov87	f562264674	Add VAAPI into tests & VPL sample	2022-07-08 11:43:56 +03:00
Vincent Rabaud	0a88f84847	Merge pull request #22208 from vrabaud:34_calibinit ... Add missing code. * Add missing code. This was removed in c7fc563dc0 The resize is also a side-effect. * Use shorteer cv::Point2f *=	2022-07-08 01:24:01 +03:00
Zihao Mu	139c443770	Merge pull request #22183 from zihaomu:fastConv_ARMv7_compatible ... DNN: ARMv7 compatible fastConv * support armv7 on fastConv * remove whitespace.	2022-07-07 13:23:08 +03:00
Tomoaki Teshima	a630ad73cb	suppress warning on GCC 7 and later	2022-07-06 23:31:31 +09:00
@lizhiyu3	366e8217c2	merge the fixbug	2022-07-06 01:09:46 +08:00
@lizhiyu3	01226cb8ac	fix the bug when src*2 < dst	2022-07-06 01:01:16 +08:00
Zihao Mu	a80fcacd90	Merge pull request #21372 from zihaomu:dnn_quantize_per_tensor ... Add per_tensor_quantize to int8 quantize * add per_tensor_quantize to dnn int8 module. * change api flag from perTensor to perChannel, and recognize quantize type and onnx importer. * change the default to hpp	2022-07-05 19:14:42 +03:00
@lizhiyu3	c54ccaac31	change test number	2022-07-05 15:50:33 +08:00
@lizhiyu3	79731cb0ff	fix the bug when src*2 < dst	2022-07-05 15:43:52 +08:00
Alexander Alekhin	16b5fd4bf2	Merge pull request #22102 from jwinarske:jw/xdg_shell	2022-07-04 22:59:29 +00:00
Povilas Kanapickas	6a4c3b61e6	Improve doc of calcHist overload that accepts vectors ... It's not clear how ranges argument should be used in the overload of calcHist that accepts std::vector. The main overload uses array of arrays there, while std::vector overload uses a plain array. The code interprets the vector as a flattened array and rebuilds array of arrays from it. This is not obvious interpretation, so documentation has been added to explain the expected usage.	2022-07-04 12:19:16 +03:00
heavyrain-lzy	6360c3bf46	Merge pull request #22184 from heavyrain-lzy:fixbug_pyrUp ... * fix the bug in pyrUp * add test case for pyrUp * coding style	2022-07-03 23:06:43 +03:00
Alexander Alekhin	3bf22d0024	Merge pull request #22156 from vpisarev:update_cvround	2022-07-01 12:17:38 +00:00
Alexander Alekhin	66567933d7	Merge pull request #22163 from philipphutterer:vcap-frame-type	2022-07-01 12:16:45 +00:00
Alexander Alekhin	d2f5a10f5d	Merge pull request #22176 from danopdev:doc-update-1	2022-07-01 12:13:45 +00:00
Dan	32bb4fa950	Update doc	2022-07-01 13:33:05 +02:00
Zihao Mu	59b870a87a	Merge pull request #21910 from zihaomu:fast_conv_ARM ... DNN: Accelerating convolution * Fast Conv of ARM, X86 and universal intrinsics. * improve code style. * error fixed. * improve the License * optimize memory allocated and Adjust the threshold. * change FasterRCNN_vgg16 to 2GB memory.	2022-07-01 13:03:15 +03:00
Suleyman TURKMEN	0f067fd0a6	make imgcodecs optional for highgui	2022-07-01 10:53:37 +03:00
Lucas Yang	b152b8cbcd	Fix missing CharVector for JavaScript bindings	2022-06-30 04:07:43 +08:00
Joel Winarske	0769bf416f	highgui Wayland xdg_shell ... -enable using -DWITH_WAYLAND=ON -adapted from https://github.com/pfpacket/opencv-wayland -using xdg_shell stable protocol -overrides HAVE_QT if HAVE_WAYLAND and WITH_WAYLAND are set Signed-off-by: Joel Winarske <joel.winarske@gmail.com> Co-authored-by: Ryo Munakata <afpacket@gmail.com>	2022-06-26 12:11:09 -07:00
Philipp Hutterer	90f2e1f8b5	Frame type property for ffmpeg video capture	2022-06-26 17:30:31 +02:00
Alexander Alekhin	2a4926f417	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-06-26 14:22:24 +00:00
Alexander Alekhin	5e1c9099e8	Merge pull request #22158 from lamm45:intro-typos	2022-06-26 14:20:22 +00:00
Alexander Alekhin	397e9bc8d6	Merge pull request #22137 from danopdev:issues-22126	2022-06-25 15:21:55 +00:00
dan	2366f2cb2e	issues-22126	2022-06-25 15:12:59 +02:00
Sean McBride	35f1a90df7	Merge pull request #22149 from seanm:sprintf ... Replaced sprintf with safer snprintf * Straightforward replacement of sprintf with safer snprintf * Trickier replacement of sprintf with safer snprintf Some functions were changed to take another parameter: the size of the buffer, so that they can pass that size on to snprintf.	2022-06-25 06:48:22 +03:00
lamm45	9faefa0c96	Fix minor errors in the first documentation page (Introduction) ... This markdown file corresponds to the first link on the landing page of OpenCV documentation.	2022-06-24 14:03:14 -04:00
Vadim Pisarevsky	b5adffd5c2	* cleaned cvRound(), cvFloor() and cvCeil() implementations, removed the old non-banking rounding branch completely ... * enable the use of GCC/clang __builtin_*() functions more broadly	2022-06-24 14:58:32 +03:00
Vincent Rabaud	82010bf5c1	Fix some overflows in drawing.	2022-06-24 11:38:20 +02:00
dan	44c2519d75	issues-22141	2022-06-23 15:09:17 +02:00
Zihao Mu	ef94275eb6	bug fixed of GEMM node in ONNX_importer	2022-06-22 21:08:48 +08:00
Wanli	a6ca48a1c2	Merge pull request #22100 from WanliZhong:issue_22015 ... Fix issue 22015, let Clip layer support 1-3 inputs * Fix issue 22015. Let layer Clip support 1-3 inputs. * Resolve other problems caused by modifications * Update onnx_importer.cpp added extra checks to min/max handling in Clip * Add assertions to check the size of the input * Add test for clip with min and max initializers * Separate test for "clip_init_min_max". Change the check method for input_size to provide a clearer message in case of problem. * Add tests for clip with min or max initializers * Change the implementation of getting input Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>	2022-06-22 14:21:16 +03:00
Zihao Mu	2411b825b4	bug fixed of GEMM node in ONNX_importer	2022-06-22 15:00:17 +08:00
Kumataro	dd7b9000ad	Merge pull request #22064 from Kumataro:3.4-fix22052 ... * imgcodecs: jpeg: add IMWRITE_JPEG_SAMPLING_FACTOR parameter * fix compile error * imgcodecs: jpeg: add CV_LOG_WARNING() and fix how to initilize Mat * imgcodecs: jpeg: fix for C++98 mode. * samples: imgcodec_jpeg: Remove license	2022-06-20 21:42:50 +03:00
Alexander Alekhin	9d06e58c3c	Merge pull request #22127 from catree:update_homography_tutorial	2022-06-19 10:52:52 +00:00
catree	a04f9e7a59	Add more references. Update missing references with webarchive. Use mathbf for matrices. Check that the determinant of the rotation matrix is not negative (reflection), and correct it if it is the case.	2022-06-19 01:27:32 +02:00
Vincent Rabaud	0d52c37e11	Fix typo that prevents compilation with sanitizer.	2022-06-17 11:40:22 +02:00
Alexander Alekhin	734e309b3e	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-06-16 11:04:50 +00:00
Vincent Rabaud	7a46d7efde	Fix compilation on some ARM architecture. ... This condition is the same as the line above.	2022-06-13 17:39:24 +02:00
Stefan Dragnev	d09bd6f862	correct direction of displaymatrix rotation	2022-06-13 14:15:39 +00:00
Alexander Alekhin	dda2e9374b	Merge pull request #22018 from RidgeRun:gstreamer-consider-video-meta-if-available	2022-06-08 20:25:24 +00:00
Alexander Alekhin	14754deb21	Merge tag '4.6.0'	2022-06-05 19:23:41 +00:00
Alexander Alekhin	b0dc474160	release: OpenCV 4.6.0	2022-06-05 15:32:44 +00:00
Juan López Rubio	adf89bbb33	Merge pull request #22047 from jlopezr:trackbar-ordered-in-mac ... * In Mac highgui now shows trackbars in creation order * In Mac highgui trackbars show current value * Remove trailing spaces in objectivec code	2022-06-05 15:30:16 +00:00
Alexander Alekhin	c103b63fe1	Merge tag '3.4.18'	2022-06-05 15:16:54 +00:00
Alexander Alekhin	a3d0882317	release: OpenCV 3.4.18	2022-06-05 07:52:44 +00:00
Alexander Alekhin	583bd1a6e2	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-06-04 19:10:35 +00:00
Alexander Panov	53eda42da7	Merge pull request #22025 from AleksandrPanov:fix_samplingForVersion_multiplyingFactor ... Fix sampling for version multiplying factor * reduce experimentalFrequencyElem and listFrequencyElem * fix large resize * fix tile in postIntermediate * add getMinSideLen(), add corrected_index * add test decode_regression_21929 author Kumataro, add test decode_regression_version_25	2022-06-04 17:33:08 +03:00
Alexander Alekhin	c26c4a61c6	Merge pull request #22061 from alalek:imgproc_color_hsv_use_singleton	2022-06-03 09:03:33 +00:00
xiong-jie-y	ea2527c2d1	Add python bindings for G-API onnx	2022-06-02 19:09:26 +09:00
Alexander Alekhin	65fcf22670	imgproc: use singleton in color_hsv.simd.hpp	2022-06-01 19:02:56 +00:00
Kumataro	3577265508	highgui: Qt: waitKey() supports Cyrillic/Japanese keyboard layout	2022-06-01 21:45:53 +09:00
Ed J	f28e191d70	cheirality -> chirality	2022-06-01 00:54:44 +01:00
Ed J	38b6c44b4c	for then given -> for the given	2022-06-01 00:54:44 +01:00
Kumataro	1a24e316d5	Merge pull request #22030 from Kumataro:3.4-fix22029 ... * objdetect: qrcode_encoder: fix to missing timing pattern * objdetect: qrcode_encoder: Add SCOPED_TRACE() and replace CV_Assert() to ASSERT_EQ(). - Add SCOPED_TRACE() for version loop. - Replace CV_Assert() to ASSERT_EQ(). - Rename expect_msg to msg.	2022-05-31 13:58:17 +03:00
Alexander Alekhin	9da9e8244b	Merge pull request #22041 from nglee:fix_return_by_const_value	2022-05-31 10:51:55 +00:00
Alexander Alekhin	d6151eae23	Merge pull request #22019 from victor1234:calib3d-fix-cameracalibration-test	2022-05-30 18:27:14 +00:00
Alexander Alekhin	4a0a3281c6	Merge pull request #22021 from victor1234:issue-10947_calib3d-update-fisheye-distortpoint-doc	2022-05-30 18:21:02 +00:00
Victor	1230075011	Merge pull request #22045 from victor1234:calib3d-fisheye-model-reference ... * Add fisheye camera model summary description with reference * Fix layout * Move reference to bibtex	2022-05-30 18:03:08 +00:00
Namgoo Lee	24547f40ff	remove const from functions returning by value	2022-05-26 21:30:41 +09:00
mohawk2	72debee125	typo: Minkowsky is actually Minkowski	2022-05-26 12:54:26 +01:00
xiong-jie-y	a3d6994afa	Add stateful kernel to python G-API	2022-05-26 01:15:56 +09:00
Alexander Alekhin	e585453c2e	videoio(test): skip failed tests in misconfigured environments	2022-05-25 06:40:03 +00:00
Alexander Alekhin	86f4524010	Merge pull request #22028 from alalek:build_warnings_4.x	2022-05-25 06:39:37 +00:00
Alexander Alekhin	434c96e625	build: eliminate warnings	2022-05-24 23:34:11 +00:00
Alexander Alekhin	e9187ae38c	Merge pull request #22026 from alalek:update_version_3.4.18-pre	2022-05-24 20:23:28 +00:00
Alexander Alekhin	978dc76653	Merge pull request #22006 from rogday:21947_fix	2022-05-24 19:26:02 +00:00
rogday	a2ad997e97	fix vector access in TF::sortByExecutionOrder	2022-05-24 00:05:13 +03:00
Alexander Alekhin	e9428726ca	pre: OpenCV 4.6.0 (version++)	2022-05-23 19:25:16 +00:00
Alexander Alekhin	400906b433	pre: OpenCV 3.4.18 (version++)	2022-05-23 19:18:02 +00:00
berak	50d7c61c01	Update darknet_importer.cpp ... make it more obvious, that this is a '404', not a 'parsing' problem	2022-05-23 19:18:31 +02:00
Alexander Alekhin	d9bf522b27	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-05-23 16:06:14 +00:00
rogday	93dc0679ec	Merge pull request #21818 from rogday:revert_renaming ... * add prefixes to layer names and layer output names * dnn: OPENCV_DNN_ONNX_USE_LEGACY_NAMES runtime parameter Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>	2022-05-23 14:50:42 +00:00
Kataev Victor	1ddc51cfd1	Update fisheye::distortPoints() documentation	2022-05-23 14:30:09 +03:00
Kataev Victor	50bf0e10f5	Fix cameracalibration test ... * Remove transpose for rvec after calibration * Change compare threshold from 110% to 10% for perViewErrors * Add transpose to goodRotMatrs load	2022-05-23 14:07:34 +03:00
Michael Gruner	6a22c5b2b5	Consider video meta on GStreamer video capture ... Some GStreamer elements may produce buffers with very non standard strides, offsets and/or even transport each plane in different, non-contiguous pointers. This non-standard layout is communicated via GstVideoMeta structures attached to the buffers. Given this, when a GstVideoMeta is available, one should parse the layout from it instead of generating a generic one from the caps. The GstVideoFrame utility does precisely this: if the buffer contains a video meta, it uses that to fill the format and memory layout. If there is no meta available, the layout is inferred from the caps.	2022-05-22 20:08:44 -06:00
Alexander Alekhin	bb5462e327	Merge pull request #21991 from fengyuentau:qconv_asympad	2022-05-19 17:20:04 +00:00
Martin Tůma	df2e7fa6eb	Merge pull request #21992 from tumicdq:v4l2 ... * Added support for 4B RGB V4L2 pixel formats Added support for V4L2_PIX_FMT_XBGR32 and V4L2_PIX_FMT_ABGR32 pixel formats. * Added workaround for missing V4L2_PIX_FMT_ABGR32 and V4L2_PIX_FMT_XBGR32 defines	2022-05-19 12:37:10 +00:00
Alexander Alekhin	11f36bdf9a	Merge pull request #21941 from cpoerschke:4.x-fix-imgproc-typos	2022-05-17 21:42:36 +00:00
Alexander Alekhin	bc0d4585b3	Merge pull request #21984 from xiong-jie-y:add_make_capture_for_camera_stream	2022-05-17 21:22:17 +00:00
Alexander Alekhin	9f6f0c7424	Merge pull request #21987 from alalek:gapi_test_reduce_used_memory	2022-05-17 16:26:14 +00:00
xiong-jie-y	c929f1b62f	Add make_capture_src for video stream to Python	2022-05-16 20:46:08 +09:00
fengyuentau	ff88132620	support asymmetric paddings for qconv	2022-05-16 19:01:37 +08:00
Alexander Alekhin	89f8d4ae12	build: GCC12 warnings	2022-05-15 16:21:16 +00:00
dbudnikov	3f4ffe7844	Merge pull request #21909 from dbudnikov:dbudnikov/reduce_gapi_tests_number ... Reduce G-API tests number * reduce number of G-API tests * reduce number of G-API tests * Address more comments from Dmitry.	2022-05-15 10:07:01 +00:00
Alexander Alekhin	22a00036e2	gapi(test): reduce used amount of memory	2022-05-15 09:41:25 +00:00
OpenCV Developers	d9a444ca1a	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-05-14 11:23:21 +00:00
Manolis Lourakis	8d0fbc6a1e	Merge pull request #21702 from mlourakis:4.x ... Fixes and optimizations for the SQPnP solver * Fixes and optimizations - optimized the calculation of qa_sum by moving equal elements outside the loop - unrolled copying of the lower triangle of omega - substituted SVD with eigendecomposition in the factorization of omega (2-3 times faster) - fixed the initialization of lambda in FOAM - added a cheirality test that checks a solution on all 3D points rather than on their mean. The old test rejected valid poses in some cases - fixed some typos & errors in comments * reverted to SVD Eigen decomposition seems to yield larger errors in certain tests, reverted to SVD * nearestRotationMatrixSVD Added nearestRotationMatrixSVD() Previous nearestRotationMatrix() renamed to nearestRotationMatrixFOAM() and reverts to nearestRotationMatrixSVD() for singular matrices * fixed checks order Fixed the order of checks in PoseSolver::solveInternal()	2022-05-13 18:11:14 +00:00
Kumataro	602caa9cd6	Merge pull request #21937 from Kumataro:4.x-fix-21911 ... * Fix warnings for clang15 * Fix warnings: Remove unnecessary code * Fix warnings: Remove unnecessary code	2022-05-13 17:32:05 +00:00
OpenCV Pushbot	f35ec8c955	Merge pull request #21935 from Yulv-git:3.4-typos3	2022-05-13 17:30:57 +00:00
OpenCV Pushbot	612d43f284	Merge pull request #21871 from xiongzhen:apply-predictor-to-lzw-only ... TIFFTAG_PREDICTOR should not be applied unless LZW, DEFLATE or ADOBE_DEFLATE	2022-05-13 17:25:59 +00:00
OpenCV Pushbot	56824d1769	Merge pull request #21847 from lamm45:imgproc-tform-doc ... Minor documentation fixes for geometric image transformations	2022-05-13 17:23:23 +00:00
xiongzhen	2238ac7d59	Apply TIFFTAG_PREDICTOR option for LZW, DEFLATE and ADOBE_DEFLATE compression cases for smaller files.	2022-05-13 09:44:25 +03:00
OpenCV Pushbot	40d2904f3d	Merge pull request #21916 from chenjunnn:patch-1	2022-05-12 10:01:11 +00:00
OpenCV Pushbot	9712cc479b	Merge pull request #21963 from hellodoge:imwrite_fix	2022-05-12 09:02:54 +00:00
OpenCV Pushbot	0ef1fb0b67	Merge pull request #21954 from Darkyenus:patch-1	2022-05-12 08:59:10 +00:00
Victor	2b67bc448d	Merge pull request #21931 from victor1234:calib3d-add-undistortImagePoints ... Add undistortImagePoints function * Add undistortImagePoints function undistortPoints has unclear interface and additional functionality. New function computes only undistorted image points position * Add undistortImagePoints test * Add TermCriteria * Fix layout	2022-05-12 08:56:58 +00:00
Chen Jun	8d0dae4cec	Fix KalmanFilter comment error ... If there will be measurement before the next predict, `statePost` would be assigned to updated value. So I guess these steps are meant to handle when no measurement and KF only do the predict step. ```cpp statePre.copyTo(statePost); errorCovPre.copyTo(errorCovPost); ```	2022-05-12 08:48:23 +00:00
OpenCV Pushbot	dda96264df	Merge pull request #21608 from zihaomu:depth2space ... DNN: add depth2space and space2depth layer for onnx importer	2022-05-12 08:46:36 +00:00
OpenCV Pushbot	4af8e5c5c4	Merge pull request #21974 from cxcorp:fix-js-test-globals	2022-05-12 08:44:00 +00:00
Sergey	eff5605be5	Merge pull request #21883 from SergeyIvanov87:gapi_vpl_linux ... G-API: VPL Source turn on Linux CPU version * Turn on linux compilation * Apply comments * Change new files headline * Add license header	2022-05-12 08:42:38 +00:00
OpenCV Pushbot	2b53ab23c0	Merge pull request #21882 from duanqn:improve-doc	2022-05-12 07:41:39 +00:00
Joona Heikkilä	646025589b	Fix global variable assignment in JS test suite ... In test_imgproc.js, the test_filter suite's last test assigns a variable to `size` without declaring it with `let`, polluting the global scope. This commit adds `let` to the statement, so that the variable is scoped to the test block.	2022-05-11 23:15:34 +03:00
Jan Polák	dea0815199	Small imencode documentation improvement ... It was previously not clear that the extension should include the period, [and I am not the only person that encountered this problem](https://stackoverflow.com/questions/4254460/opencv-could-not-find-encoder-for-the-specified-extension). I assume that this is true for all supported extensions, but I haven't checked the source.	2022-05-11 14:57:38 +02:00
hellodoge	e4ed2d2e42	fix JpegEncoder::write ... 3rdparty/libjpeg-turbo/src/jpeglib.h: `* NB: you must set up the error-manager BEFORE calling jpeg_create_xxx.`	2022-05-11 13:08:02 +03:00
Vincent Rabaud	667e5e4f89	Merge pull request #21943 from vrabaud:3.4_proc ... * Fix compilation with non glibc. _SC_NPROCESSORS_ONLN is non standard as defined on https://man7.org/linux/man-pages/man3/sysconf.3.html It seems to only be on glibc, cf https://www.gnu.org/software/libc/manual/html_node/Processor-Resources.html * Fix to defined(_SC_NPROCESSORS_ONLN)	2022-05-05 07:59:29 +00:00
Christine Poerschke	9e1e960116	imgproc: fix two typos (imput, magnutude)	2022-05-01 19:59:55 +01:00
huangziqing	82ae9ef541	Wrap gpuMat::release to Python	2022-05-02 00:54:17 +08:00
OpenCV Developers	1b07274e34	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-04-30 18:54:20 +00:00
Yulv-git	15ac54d5d6	Fix some typos in modules/.	2022-04-30 13:40:07 +08:00
OpenCV Pushbot	fbac38d98b	Merge pull request #21923 from victor1234:calib3d-undistortPoints-R-P-test	2022-04-29 18:12:56 +00:00
LaurentBerger	ca2ab3387f	Try to solve I21853 mouse wheel problem with GTK3	2022-04-29 08:59:29 +03:00
Zihao Mu	64ded50bbf	parsing depth2space and space2depth of ONNX importer	2022-04-29 10:17:02 +08:00
Kataev Victor	6d0f1275c2	Add use of R and P parameters to cv::undistortPoints test	2022-04-28 21:47:53 +03:00
Alexander Smorkalov	2402fa4824	Fix #21894: Wrap constructor to Python to create initialized cuda::BufferPool object.	2022-04-28 12:18:26 +03:00
Victor	5cc154147f	Merge pull request #21841 from victor1234:calib3d-undistortPoints-tests ... Add distort/undistort test for fisheye::undistortPoints() * Add distort/undistort test for fisheye::undistortPoints() Lack of test has allowed error described in 19138 to be unnoticed. In addition to random points, four corners and principal center added to point set * Add random distortion coefficients set * Move undistortPoints test to google test, refactor * Add fisheye::undistortPoints() perf test * Add negative distortion coefficients to undistortPoints test, increase value * Move to theRNG() * Change test check from cvtest::norm(L2) to EXPECT_MAT_NEAR() * Layout fix * Add points number parameters, comments	2022-04-19 18:07:34 +00:00
rogday	9cd5a0a1e6	Merge pull request #21884 from rogday:cuda_cleanup ... Fix CUDA compilation issues and adjust thresholds. * Fix CUDA compilation issues and adjust thresholds. * add conformance tests to denylist	2022-04-19 16:40:25 +00:00
Qingnan Duan	2958142e31	Remove extra not in doc	2022-04-18 14:18:27 +08:00
Victor	27c15bed60	Merge pull request #21834 from victor1234:issue-19138_add_termcriteria_to_fisheye_undistortpoints ... * Add termination criteria to cv::fisheye::undistortPoints() * Add criteria.type check	2022-04-16 17:59:53 +00:00
OpenCV Developers	2985739b8c	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-04-16 14:41:15 +00:00
OpenCV Pushbot	556d211136	Merge pull request #21864 from rogday:21851_fix	2022-04-15 18:07:38 +00:00
Alexander Smorkalov	0ee2a58cdc	Document defaults for JPEG settings.	2022-04-15 14:36:48 +03:00
rogday	7daf84fb44	address security concerns in persistence	2022-04-14 22:18:00 +03:00
rogday	a2b84e9897	add assert to tf graph simplifier to address security concerns	2022-04-13 22:50:27 +03:00
OpenCV Pushbot	66f3c2673c	Merge pull request #21831 from zihaomu:sign_layer_onnx ... DNN: Add sign, shrink and reciprocal for onnx_impoter	2022-04-13 17:08:30 +00:00
luzpaz	554d08c3a1	Merge pull request #21775 from luzpaz:typos/gapi ... * GAPI: fix various gapi related typos Fixes source comments and documentation related to gapi code. * Fix source typos * Fixed typos requested * Follow-up typo fix	2022-04-13 17:06:37 +00:00
OpenCV Pushbot	3a595ea5c4	Merge pull request #21855 from opencv-pushbot:dnn_test_update_checks_face_detector_3.4	2022-04-12 17:33:13 +00:00
OpenCV Pushbot	03c9648f2e	Merge pull request #21854 from opencv-pushbot:dnn_test_update_checks_face_detector_4.x	2022-04-12 17:20:22 +00:00
OpenCV Developers	e3a55af336	dnn(test): update opencv_face_detector checks ... original commit: be4a432bea	2022-04-11 20:27:06 +00:00
OpenCV Developers	be4a432bea	dnn(test): update opencv_face_detector checks	2022-04-11 20:26:25 +00:00
lamm45	0d32a24cba	Fix some doc references in geometric image transformations module	2022-04-10 13:13:30 -04:00
zihaomu	e36948cfbc	add ONNX OP sign, shrink and reciprocal	2022-04-07 15:32:12 +08:00
Alexander Alekhin	9aa647068b	Merge pull request #21822 from alalek:dnn_test_update_openvino_4.x	2022-04-05 18:08:46 +00:00
Alexander Alekhin	092030c1ca	Merge pull request #21819 from alalek:fix_videoio_ffmpeg_memory_leak_4.x	2022-04-05 18:03:59 +00:00
Alexander Alekhin	0bd261ded4	Merge pull request #21820 from alalek:fix_videoio_ffmpeg_memory_leak_3.4	2022-04-05 18:03:27 +00:00
Alexey Smirnov	7ed557497d	Merge pull request #21504 from smirnov-alexey:as/oak_infer ... [GAPI] Support basic inference in OAK backend * Combined commit which enables basic inference and other extra capabilities of OAK backend * Remove unnecessary target options from the cmakelist	2022-04-05 21:00:32 +03:00
eplankin	d793ec2ffe	Merge pull request #21779 from eplankin:fix_11303 ... Fixed out-of-bounds read in parallel version of ippGaussianBlur() * Fixed out-of-memory read in parallel version of ippGaussianBlur() * Fixed check * Revert changes in CMakeLists.txt	2022-04-05 15:58:15 +00:00
Alexander Alekhin	271f7df343	videoio(ffmpeg): avoid memory leaks	2022-04-05 15:51:56 +00:00
Alexander Alekhin	08d44f588f	dnn(test): update OpenVINO tests 2022.1.0 (OpenCV 4.x)	2022-04-05 14:13:38 +00:00
Alexander Alekhin	b2e20a82ba	Merge pull request #21812 from cpoerschke:BackgroundSubtractor-getDefaultName	2022-04-04 18:57:00 +00:00
Alexander Alekhin	1b3a06a02a	videoio(ffmpeg): avoid memory leaks	2022-04-04 18:52:24 +00:00
Anastasiya(Asya) Pronina	91a5e75151	Merge pull request #21731 from AsyaPronina:asyadev/fix_new_stream_event ... Fixed handling of new stream, especially for stateful OCV kernels * Fixed handling of new stream, especially for stateful OCV kernels * Removed duplication from StateInitOnce tests * Addressed review comments for PR #21731 - Fixed explanation comments - Expanded test for stateful OCV kernels in Regular mode * Addressed review comments for PR #21731 - Moved notification about new stream to the constructor - Added test on state reset for Regular mode * Addresed review comments * Addressed review comments Co-authored-by: Ruslan Garnov <ruslan.garnov@intel.com>	2022-04-04 17:39:02 +00:00
sivanov-work	84b517f5a0	Fix warning	2022-04-04 08:25:03 +03:00
Christine Poerschke	8ac88cf069	add BackgroundSubtractor(KNN|MOG2).getDefaultName() implementation	2022-04-03 20:35:55 +01:00
Alexander Alekhin	13a995cc1d	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-04-02 19:45:44 +00:00
Alexander Alekhin	a93fb52632	Merge pull request #21795 from alalek:dnn_test_update_openvino_3.4	2022-04-02 19:36:48 +00:00
Alexander Alekhin	4d927e73f1	dnn(test): update OpenVINO tests 2022.1.0	2022-04-02 17:42:53 +00:00
Alexander Alekhin	38228709c8	Merge pull request #21644 from sturkmen72:patch-5	2022-04-01 22:43:33 +00:00
Oguzhan Guclu	38788a3161	Merge pull request #21803 from oguzhanguclu:matches_info_pybinding ... python binding for matches and inliers_mask attributes of cv2.detail_MatchesInfo class * making matches and inliers_mask attributes of cv2.detail_MatchesInfo class accessible from python interface * binding test for cv2.detail_MatchesInfo class	2022-04-01 22:13:14 +00:00
Alexander Alekhin	46b6973c05	Merge pull request #21798 from gititgo:4.x	2022-04-01 22:11:57 +00:00
Alexander Alekhin	af2b7708a8	Merge pull request #21794 from yash112-lang:3.4	2022-04-01 22:10:51 +00:00
Alexander Alekhin	a233982931	Merge pull request #20938 from JulieBar:lstm_cuda2	2022-04-01 22:10:08 +00:00
Alexander Alekhin	ed1439fbc6	Merge pull request #21754 from mshabunin:fix-ffmpeg5	2022-04-01 18:34:30 +00:00
Sergey Ivanov	f3945fbddb	Merge pull request #21688 from sivanov-work:vpp_ie_integration ... G-API: VPP preprocessing GIEBackend integration * Add ROI in VPP prepro * Apply comments * Integration to IE * Removed extra invocations * Fix no-vpl compilation * Fix compilations * Apply comments * Use thin wrapper for device & ctx * Implement Device/Context constructor functions * Apply samples comment * Fix compilation * Fix compilation * Fix build * Separate Device&Context from selector, apply other comments * Fix typo * Intercept OV exception with pretty print out	2022-04-01 10:06:47 +00:00
shengwenxue	8b44ee2ce1	fix MSA sum overflow issue	2022-04-01 08:37:28 +00:00
Zihao Mu	7b582b71ba	Merge pull request #21036 from fengyuentau:timvx_backend_support ... dnn: TIM-VX NPU backend support * Add TimVX NPU backend for DNN module. * use official branch from tim-vx repo; fix detecting viv sdk Co-authored-by: fytao <yuantao.feng@outlook.com>	2022-03-31 21:42:11 +00:00
Yash Singhal	4e8c507276	Update Condition ... Update connectedcomponents.cpp	2022-03-31 21:03:06 +00:00
Anatoliy Talamanov	9390c56831	Merge pull request #21782 from TolyaTalamanov:at/fix-1d-mat-problems ... [G-API] Fix problems with 1D cv::Mat as graph output * Fix issues with 1D cv::Mat * Fix cv::Mat::create * Fix standalone build * Add test on 1d mat * Fix warning * Add additional condition * Add more tests	2022-03-31 21:00:45 +00:00
Smirnov Egor	abebbf04b1	Add CUDA support for LSTM. ... Co-authored-by: Julia Bareeva <jbareeva@gmail.com>	2022-03-31 16:38:22 +03:00
Alexander Alekhin	5e434073d4	Merge pull request #21796 from alalek:dnn_reduce_fixup_21601	2022-03-30 22:26:28 +00:00
HAN Liutong	3e4a566e46	Merge pull request #21351 from hanliutong:rvv-clang ... * Update universal intrinsics of RVV back-end. * Use array instead of malloc.	2022-03-30 20:04:34 +00:00
Alexander Alekhin	6f5cf8c15f	dnn: fix ReduceLayer implementation, update OpenVINO tests	2022-03-30 20:03:41 +00:00
Alexander Alekhin	b687bc807a	dnn(test): update OpenVINO tests 2021.4.2	2022-03-30 18:58:35 +00:00
Maksim Shabunin	5440fd6cb4	videoio: initial FFmpeg 5.0 support	2022-03-30 18:15:53 +03:00
Suleyman TURKMEN	b060151625	add test (DISABLED_open_from_web)	2022-03-30 15:01:02 +03:00
Anna Khakimova	be38d4ea93	Merge pull request #21777 from anna-khakimova:ak/convertto_simd ... GAPI Fluid: SIMD for ConvertTo. * GAPI Fluid: SIMD for convertto. * Applied comments	2022-03-29 21:14:01 +00:00
Alexander Alekhin	386df457a9	python: ensure publishing of subclasses before derived types	2022-03-27 12:49:22 +00:00
Alexander Alekhin	e4abf6e723	Merge pull request #21781 from VadimLevin:dev/vlevin/skip-inline-namespaces	2022-03-26 21:40:45 +00:00
Alexander Alekhin	1339ebaa84	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-03-26 16:00:28 +00:00
Alexander Alekhin	c9b90884da	Merge pull request #21601 from zihaomu:add_reduceLayer	2022-03-26 10:20:10 +00:00
Alexander Alekhin	9b2b2c88df	Merge pull request #21750 from alalek:dnn_fix_index_access	2022-03-25 18:26:10 +00:00
Anna Khakimova	e5bdab0355	Merge pull request #21728 from anna-khakimova:ak/resize_f32c1_avx_simd ... GAPI Fluid: SIMD AVX2 Resize F32C1. * GAPI Fluid: Resize F32C1 scalar. * Final version * GAPI Fluid: SIMD AVX2 for Resize F32C1. * Applied comments. * Deleted warning suppression. * Applied comments.	2022-03-25 18:11:01 +03:00
Vadim Levin	4d46958c82	fix: inline namespace handling in header parser ... `inline namespace` should be skipped in header parser namespaces list. Example: ```cpp namespace cv { inline namespace inlined { namespace inner { // content } // namespace inner } // namespace inlined } // namespace cv ``` Before fix `inner` is registered as `cv..inner` After fix: `cv.inner`	2022-03-25 15:36:31 +03:00
Anatoliy Talamanov	9dd8e4df7f	Merge pull request #21719 from TolyaTalamanov:at/pipeline_modeling_tool-skip-frames-for-nodes ... [G-API] Pipeline modeling tool: Skip frames * Add skip feature * Refactoring * Fix warning * Put more comments * Fix comments to review * Agregate common params into structure * Fix warning * Clean up & add test * Add assert * Fix warning on Mac * Update modules/gapi/samples/pipeline_modeling_tool.cpp Co-authored-by: Dmitry Matveev <dmitry.matveev@intel.com>	2022-03-25 08:22:45 +00:00
Anatoliy Talamanov	d98e07c3d3	Merge pull request #21660 from TolyaTalamanov:at/handle-exception-in-streamingexecutor ... [G-API] Handle exceptions in streaming executor * Handle exceptions in streaming executor * Rethrow exception in non-streaming executor * Clean up * Put more tests * Handle exceptions in IE backend * Handle exception in IE callbacks * Handle exception in GExecutor * Handle all exceptions in IE backend * Not only (std::exception& e) * Fix comments to review * Handle input exception in generic way * Fix comment * Clean up * Apply review comments * Put more comments * Fix alignment * Move test outside of HAVE_NGRAPH * Fix compilation	2022-03-25 08:19:53 +00:00
luz paz	8e8e4bbabc	dnn: fix various dnn related typos ... Fixes source comments and documentation related to dnn code.	2022-03-23 18:12:12 -04:00
Alexander Alekhin	12bae51384	Merge pull request #21759 from pkubaj:patch-1	2022-03-23 19:13:12 +00:00
Alexander Alekhin	7b848e215f	Merge pull request #21764 from alexanderconner:fixes/CameraBridgeViewBase-error-message	2022-03-23 19:11:30 +00:00
Stefano Allegretti	2a218b96c4	Fix VideoCapture::open() brief description	2022-03-23 15:55:30 +01:00
Alexander Conner	e76cda6923	Update CameraBridgeViewBase error message ... Update CameraBridgeViewBase error message - Change "you device does" to "your device does"	2022-03-22 15:40:23 -04:00
Alexander Alekhin	9d16612a9b	Merge pull request #21756 from komakai:fix-pow	2022-03-22 13:45:35 +00:00
Alexander Alekhin	63c865ace6	Merge pull request #21746 from anna-khakimova:ak/dynamic_dispatch_sub	2022-03-21 17:10:40 +00:00
Maksim Shabunin	593996216f	cartToPolar/polarToCart: disable inplace mode	2022-03-21 16:06:12 +03:00
Maksim Shabunin	4eae23a2cc	ts: fix some EXPECT_MAT macros	2022-03-21 16:06:02 +03:00