opencv

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Author	SHA1	Message	Date
Alexander Smorkalov	004801f1c5	Merge remote-tracking branch 'origin/3.4' into merge-3.4	2023-06-20 09:56:57 +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(2size.width, size.height), type), cv::Rect(cv::Point(0, 0), size)); const bool nz = (i <= 2); const unsigned int nzOffsetRange = 10; const unsigned int nzOffset = cv::randu<unsigned int>()%nzOffsetRange; const cv::Point pos = (i == 0) ? cv::Point(nzOffset, 0) : (i == 1) ? cv::Point(size.width/2-nzOffsetRange/2+nzOffset, size.height/2) : (i == 2) ? cv::Point(size.width-1-nzOffset, size.height-1) : cv::Point(0, 0); std::cout << "============================================================" << std::endl; std::cout << "size:" << size << " type:" << type << " continuous = " << (continuous ? "true" : "false") << " iterations:" << iterations << " nz=" << (nz ? "true" : "false"); std::cout << " pos=" << ((i == 0) ? "begin" : (i == 1) ? "middle" : (i == 2) ? "end" : "none"); std::cout << std::endl; cv::Mat mask = cv::Mat::zeros(size, CV_8UC1); mask.at<unsigned char>(pos) = 0xFF; m.setTo(cv::Scalar::all(0)); m.setTo(cv::Scalar::all(nz ? 1 : 0), mask); std::vector<bool> results; std::vector<double> timings; { bool res = false; auto ref = cv::getTickCount(); for(size_t k = 0 ; k<iterations ; ++k) res = cv::hasNonZero(m); auto now = cv::getTickCount(); const bool error = (res != nz); if (error) printf("!!ERROR!!\r\n"); results.push_back(res); timings.push_back(1000.(now-ref)/cv::getTickFrequency()); } { bool res = false; auto ref = cv::getTickCount(); for(size_t k = 0 ; k<iterations ; ++k) res = (cv::countNonZero(m)>0); auto now = cv::getTickCount(); const bool error = (res != nz); if (error) printf("!!ERROR!!\r\n"); results.push_back(res); timings.push_back(1000.(now-ref)/cv::getTickFrequency()); } const size_t bestTimingIndex = (std::min_element(timings.begin(), timings.end())-timings.begin()); if ((bestTimingIndex != 0) \|\| (std::find_if_not(results.begin(), results.end(), [&](bool r) {return (r == nz);}) != results.end())) { std::cout << "cv::hasNonZero\t\t=>" << results[0] << ((results[0] != nz) ? " ERROR" : "") << " perf:" << timings[0] << "ms => " << (iterations/timings[0]1000) << " im/s" << ((bestTimingIndex == 0) ? " * " : "") << std::endl; std::cout << "cv::countNonZero\t=>" << results[1] << ((results[1] != nz) ? " ERROR" : "") << " perf:" << timings[1] << "ms => " << (iterations/timings[1]1000) << " im/s" << ((bestTimingIndex == 1) ? " " : "") << std::endl; } } } } } } ``` Here is a report of this benchmark (it only reports timings when `cv::countNonZero()` is faster) My CPU is an Intel Core I7 4790 @ 3.60Ghz ``` ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=middle cv::hasNonZero =>1 perf:0.353764ms => 2.82674e+06 im/s cv::countNonZero =>1 perf:0.282044ms => 3.54555e+06 im/s * ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:0.610478ms => 1.63806e+06 im/s cv::countNonZero =>1 perf:0.283182ms => 3.5313e+06 im/s * ============================================================ size:[32 x 32] type:0 continuous = false iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:0.630115ms => 1.58701e+06 im/s cv::countNonZero =>0 perf:0.282044ms => 3.54555e+06 im/s * ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:0.607347ms => 1.64651e+06 im/s cv::countNonZero =>1 perf:0.467037ms => 2.14116e+06 im/s * ============================================================ size:[32 x 32] type:5 continuous = false iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:0.618162ms => 1.6177e+06 im/s cv::countNonZero =>0 perf:0.468175ms => 2.13595e+06 im/s * ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[32 x 32] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[64 x 64] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[128 x 128] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[320 x 240] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[512 x 512] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[640 x 480] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1024 x 768] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:895.381ms => 1116.84 im/s cv::countNonZero =>1 perf:882.569ms => 1133.06 im/s * ============================================================ size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:899.53ms => 1111.69 im/s cv::countNonZero =>0 perf:870.894ms => 1148.24 im/s * ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=end cv::hasNonZero =>1 perf:2018.92ms => 495.313 im/s cv::countNonZero =>1 perf:1966.37ms => 508.552 im/s * ============================================================ size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=false pos=none cv::hasNonZero =>0 perf:2005.87ms => 498.537 im/s cv::countNonZero =>0 perf:1992.78ms => 501.812 im/s * ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=false pos=none ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=begin ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=middle ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=end ============================================================ size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=false pos=none done ```	2023-06-09 13:37:20 +03:00
Alexander Smorkalov	65487946cc	Added final constrants check to solveLP to filter out flating-point numeric issues.	2023-05-25 17:29:01 +03:00
Alexander Smorkalov	d4861bfd1f	Merge remote-tracking branch 'origin/3.4' into merge-3.4	2023-05-24 14:37:48 +03:00
cudawarped	7539abecdb	cuda: add python bindings to allow GpuMat and Stream objects to be initialized from raw pointers	2023-05-22 11:02:04 +03:00
Alexander Smorkalov	4eec739624	Build warning fix on Windows for Eigen wrapper.	2023-05-17 10:12:02 +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
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
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
Alexander Smorkalov	e4a29d93fe	Merge remote-tracking branch 'origin/3.4' into merge-3.4	2023-04-21 10:55:04 +03:00
Alexander Smorkalov	3f02c9d5b9	Merge pull request #23310 from hanliutong:fix_hal_compatibility Fix HAL compatibility layer	2023-04-11 12:43:54 +03:00
Alexander Alekhin	daf9de7463	Merge pull request #23383 from mshabunin:rvv-scalable-gcc	2023-04-10 13:35:43 +00:00
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
Maksim Shabunin	b12c14514a	RISC-V: allow building scalable RVV support with GCC, LLVM 16 support	2023-04-05 14:18:58 +03:00
HAN Liutong	a809ae4e88	Fix HAL compatibility layer and modify use cases.	2023-03-27 21:30:47 +08:00
unknown	ee302b063f	Typo in enum cv::QuatEnum::EulerAnglesType	2023-03-24 14:03:14 +01:00
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 Alekhin	fe59a5695f	core(simd): 64-bit integer EQ/NE without misused 64F guard	2023-02-27 19:51:55 +00:00
Maksim Shabunin	903ec0ec60	RISC-V: support RVV 0.7 in mainline RVV intrinsics	2023-02-17 18:17:11 +03:00
Alexander Alekhin	47293f28cf	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-02-11 18:35:00 +00:00
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
Alexander Alekhin	44290af516	Merge pull request #23224 from VadimLevin:dev/vlevin/cxx-named-arguments	2023-02-08 17:31:30 +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
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 Alekhin	18cbfa4a4f	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-01-23 00:11:12 +00:00
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
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
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 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
cudawarped	692d6168b3	cuda: fix CUDA 12.0 build errors	2022-12-26 15:25:29 +02:00
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
fengyuentau	34a0897f90	add cv::flipND; support onnx slice with negative steps via cv::flipND	2022-12-23 16:39:53 +08:00
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
Alexander Alekhin	420db56ffd	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-18 02:17:17 +00:00
Alexander Alekhin	eace6adb6d	Merge pull request #22934 from alalek:fix_filestorage_binding	2022-12-17 03:28:13 +00:00
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
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
Vadim Levin	3f5f09e730	fix: add _ suffix to properties having reserved keyword names	2022-12-13 20:56:39 +03:00
Alexander Alekhin	4203c903f8	Merge pull request #22928 from alalek:riscv_toolchains	2022-12-13 06:32:16 +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 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	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
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
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
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 Alekhin	5d14cc68b7	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-11-16 16:54:11 +00:00
Alexander Alekhin	54531f8e3b	core: support CV_Check*() macros with 'bool' parameters	2022-11-15 11:47:16 +00:00
Alexander Smorkalov	778faddbd8	Merge pull request #22463 from hanliutong:rvv Redesign the SIMD macro.	2022-10-27 14:16:03 +03:00
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 Alekhin	762481411d	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-10-15 16:44:47 +00:00
Hyunggi Chang	085fb78e85	fix typo (portatibility -> portability)	2022-10-13 21:39:52 +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	35f43cc429	core: expose rectangle intersection to bindings	2022-10-12 14:08:12 +02:00
Alexander Alekhin	347246901e	Merge pull request #21745 from alalek:dnn_plugin_openvino	2022-10-08 22:32:25 +00:00
Alexander Alekhin	43b2bb2c25	dnn: plugin support for OpenVINO	2022-10-07 16:57:31 +00:00
Sean McBride	1829eba584	Fixed most clang -Wextra-semi warnings	2022-09-27 18:06:46 -04:00
HAN Liutong	df24bd295d	Fix v_signmask for RISC-V Vector.	2022-09-23 11:28:50 +00:00
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 Alekhin	2e15582799	build: eliminate uninitialized warnings from GCC12	2022-09-14 11:58:43 +00:00
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
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
HAN Liutong	7e2c8cc9f4	Add remaining intrinsics.	2022-08-26 07:06:51 +00:00
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
HAN Liutong	189f647264	Add implementation for zip, transpose, interleave, reverse and combine.	2022-08-17 14:38:38 +00:00
Alexander Alekhin	2ebdc04787	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-08-14 15:50:42 +00:00
HAN Liutong	e65ad44b32	Remove redundant intrinsics.	2022-08-12 14:12:52 +00:00
HAN Liutong	80c82e10aa	Update implementations on arithmetics.	2022-08-12 06:51:41 +00:00
HAN Liutong	f0d29cd33c	Add more universal intrinsic implementations for RVV.	2022-08-08 02:09:54 +00:00
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
HAN Liutong	3e3b53f815	Fix compile errors when all SIMD is disabled.	2022-07-21 08:14:32 +00:00
Tomoaki Teshima	b3269b08a1	neon: add dotprod dispatch implementation * read vector at runtime * add enum	2022-07-20 19:25:39 +09:00
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
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
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
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
Namgoo Lee	24547f40ff	remove const from functions returning by value	2022-05-26 21:30:41 +09:00
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
OpenCV Developers	d9a444ca1a	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-05-14 11:23:21 +00:00
OpenCV Pushbot	f35ec8c955	Merge pull request #21935 from Yulv-git:3.4-typos3	2022-05-13 17:30:57 +00:00
huangziqing	82ae9ef541	Wrap gpuMat::release to Python	2022-05-02 00:54:17 +08:00
Yulv-git	15ac54d5d6	Fix some typos in modules/.	2022-04-30 13:40:07 +08:00
Alexander Smorkalov	2402fa4824	Fix #21894 : Wrap constructor to Python to create initialized cuda::BufferPool object.	2022-04-28 12:18:26 +03:00
Qingnan Duan	2958142e31	Remove extra not in doc	2022-04-18 14:18:27 +08:00
Alexander Alekhin	13a995cc1d	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-04-02 19:45:44 +00:00
shengwenxue	8b44ee2ce1	fix MSA sum overflow issue	2022-04-01 08:37:28 +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	1339ebaa84	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-03-26 16:00:28 +00:00
pkubaj	f3699b5ac8	Fix build with LLVM 13 on ppc64le /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/vsx_utils.hpp:352:12: warning: 'vec_permi' macro redefined [-Wmacro-redefined] # define vec_permi(a, b, c) vec_xxpermdi(b, a, (3 ^ (((c) & 1) << 1 \| (c) >> 1))) ^ /usr/lib/clang/13.0.0/include/altivec.h:13077:9: note: previous definition is here #define vec_permi(__a, __b, __c) \ ^ /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/vsx_utils.hpp:370:25: error: redefinition of 'vec_promote' VSX_FINLINE(vec_dword2) vec_promote(long long a, int b) ^ /usr/lib/clang/13.0.0/include/altivec.h:14604:1: note: previous definition is here vec_promote(signed long long __a, int __b) { ^ /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/vsx_utils.hpp:377:26: error: redefinition of 'vec_promote' VSX_FINLINE(vec_udword2) vec_promote(unsigned long long a, int b) ^ /usr/lib/clang/13.0.0/include/altivec.h:14611:1: note: previous definition is here vec_promote(unsigned long long __a, int __b) { ^ /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/hal/intrin_vsx.hpp:1045:22: error: call to 'vec_rsqrt' is ambiguous { return v_float32x4(vec_rsqrt(x.val)); } ^~~~~~~~~ /usr/lib/clang/13.0.0/include/altivec.h:8472:34: note: candidate function static vector float __ATTRS_o_ai vec_rsqrt(vector float __a) { ^ /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/vsx_utils.hpp:362:29: note: candidate function VSX_FINLINE(vec_float4) vec_rsqrt(const vec_float4& a) ^ /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/hal/intrin_vsx.hpp:1047:22: error: call to 'vec_rsqrt' is ambiguous { return v_float64x2(vec_rsqrt(x.val)); } ^~~~~~~~~ /usr/lib/clang/13.0.0/include/altivec.h:8477:35: note: candidate function static vector double __ATTRS_o_ai vec_rsqrt(vector double __a) { ^ /wrkdirs/usr/ports/graphics/opencv/work/opencv-4.5.5/modules/core/include/opencv2/core/vsx_utils.hpp:365:30: note: candidate function VSX_FINLINE(vec_double2) vec_rsqrt(const vec_double2& a) ^ 1 warning and 4 errors generated. The specific functions were added to altivec.h in LLVM's 1ff93618e58df210def48d26878c20a1b414d900, c3da07d216dd20fbdb7302fd085c0a59e189ae3d and 10cc5bcd868c433f9a781aef82178b04e98bd098.	2022-03-21 02:05:05 +00:00
rogday	e16cb8b4a2	Merge pull request #21703 from rogday:transpose Add n-dimensional transpose to core * add n-dimensional transpose to core * add performance test, write sequentially and address review comments	2022-03-14 13:10:04 +00:00
Vincent Rabaud	057c3da82a	Allow Matx static function to work with Vec.	2022-03-04 14:06:20 +01:00
Vadim Levin	ccebbbc0ac	feature: submodule or a class scope for exported classes All classes are registered in the scope that corresponds to C++ namespace or exported class. Example: `cv::ml::Boost` is exported as `cv.ml.Boost` `cv::SimpleBlobDetector::Params` is exported as `cv.SimpleBlobDetector.Params` For backward compatibility all classes are registered in the global module with their mangling name containing scope information. Example: `cv::ml::Boost` has `cv.ml_Boost` alias to `cv.ml.Boost` type	2022-03-02 14:30:52 +03:00
Tatsuro Shibamura	d354ad1c34	Merge pull request #21630 from shibayan:arm64-msvc-neon * Added NEON support in builds for Windows on ARM * Fixed `HAVE_CPU_NEON_SUPPORT` display broken during compiler test * Fixed a build error prior to Visual Studio 2022	2022-02-26 17:35:03 +00:00
Vadim Levin	119d8b3aca	Merge pull request #21553 from VadimLevin:dev/vlevin/scope-for-classes-4x-port 4.x: submodule or a class scope for exported classes * feature: submodule or a class scope for exported classes All classes are registered in the scope that corresponds to C++ namespace or exported class. Example: `cv::ml::Boost` is exported as `cv.ml.Boost` `cv::SimpleBlobDetector::Params` is exported as `cv.SimpleBlobDetector.Params` For backward compatibility all classes are registered in the global module with their mangling name containing scope information. Example: `cv::ml::Boost` has `cv.ml_Boost` alias to `cv.ml.Boost` type * refactor: remove redundant GAPI aliases * fix: use explicit string literals in CVPY_TYPE macro * fix: add handling for class aliases	2022-02-25 01:17:43 +03:00
Alexander Alekhin	5a86592e93	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-02-19 21:04:35 +00:00
Yuriy Chernyshov	0898f372b1	Аix -Winvalid-noreturn under clang-cl	2022-02-18 17:57:46 +03:00
Alexander Alekhin	8d88bb06b2	core(vsx): update vec_absd() workaround condition	2022-02-15 07:26:40 +03:00
Alexander Alekhin	19926e2979	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-02-11 17:32:37 +00:00
Greg Fiumara	dae73938e8	Fix cv::FileStorage::Mode::Memory doxygen layout	2022-02-09 12:24:50 -05:00
Alexander Alekhin	d573472a86	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-01-31 12:53:45 +00:00
Vadim Levin	d88730685e	fix: submodules creation and registration - Add special case handling when submodule has the same name as parent - `PyDict_SetItemString` doesn't steal reference, so reference count should be explicitly decremented to transfer object life-time ownership - Add sanity checks for module registration input - Add Python 2 and Python 3 reference counting handling	2022-01-27 11:06:06 +03:00
Alexander Alekhin	83ce1de8e7	Merge pull request #21506 from alalek:core_fp_denormals	2022-01-26 08:52:27 +00:00
Alexander Alekhin	123519165d	core: FP denormals hints support	2022-01-26 05:19:02 +00:00
Yuriy Chernyshov	d1b533d399	Disable -Wreturn-type-c-linkage under clang-cl clang-cl defines both __clang__ and _MSC_VER, yet uses `#pragma GCC` to disable certain diagnostics. At the time `-Wreturn-type-c-linkage` was reported by clang-cl. This PR fixes this behavior by reordering defines.	2022-01-24 11:42:02 +03:00
Vadim Levin	eca2d92791	fix: submodules creation and registration - Add special case handling when submodule has the same name as parent - `PyDict_SetItemString` doesn't steal reference, so reference count should be explicitly decremented to transfer object life-time ownership - Add sanity checks for module registration input	2022-01-19 18:06:58 +03:00
Alexander Alekhin	aebb65e983	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-01-12 13:26:10 +00:00
cudawarped	ecfbaa267d	Merge pull request #21374 from cudawarped:fix_cuda_event_flags Allow cv::cuda::Event to accept combinations of flags	2022-01-11 23:57:25 +03:00
Vincent Rabaud	bf5e09d5ab	Remove unnecessary use of ref-capture in code example.	2022-01-05 13:42:55 +01:00
Joe Howse	c2209ad5e4	Doc warnings about experimental UMatUsageFlags	2021-12-31 13:51:06 -04:00
Alexander Alekhin	db172d1053	Merge tag '4.5.5'	2021-12-25 11:22:16 +00:00
Alexander Alekhin	dad26339a9	release: OpenCV 4.5.5	2021-12-25 03:53:27 +00:00
Rostislav Vasilikhin	3048188b5b	Merge pull request #21319 from savuor:backport_levmarqfromscratch Warning fixes for quaternion headers * warning fixes for quaternion headers * a/T(x) => a * T(1/x)	2021-12-24 23:00:21 +00:00
Alexander Alekhin	217fea9667	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2021-12-24 16:48:07 +00:00
Alexander Alekhin	523c3cd50b	Merge tag '3.4.17'	2021-12-24 16:45:05 +00:00
Alexander Alekhin	631126c77a	release: OpenCV 3.4.17	2021-12-24 16:39:15 +00:00
Alexander Alekhin	cdfa8a668b	python: use '((x,y), (w,h), angle)' in std::vector<RotatedRect>	2021-12-24 15:01:45 +00:00
Alexander Alekhin	c78a8dfd2d	fix 4.x links	2021-12-22 13:24:30 +00:00
Alexander Alekhin	07dca8cc03	pre: OpenCV 4.5.5 (version++)	2021-12-17 10:12:11 +00:00
Alexander Alekhin	60c093f086	pre: OpenCV 3.4.17 (version++)	2021-12-17 10:05:52 +00:00
Alexander Alekhin	d24befa0bc	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2021-12-11 15:18:57 +00:00
Vincent Rabaud	6b4ea68bc7	Solve Rect overflow issues. Fow now, it is possible to define valid rectangle for which some functions overflow (e.g. br(), ares() ...). This patch fixes the intersection operator so that it works with any rectangle.	2021-12-09 12:04:26 +01:00
HAN Liutong	4935b14539	Merge pull request #21012 from hanliutong:rvv_clang Update RVV backend for using Clang. * Update cmake file of clang. * Modify the RVV optimization on DNN to adapt to clang. * Modify intrin_rvv: Disable some existing types. * Modify intrin_rvv: Reinterpret instead of load&cast. * Modify intrin_rvv: Update load&store without cast. * Modify intrin_rvv: Rename vfredsum to fredosum. * Modify intrin_rvv: Rewrite Check all/any by using vpopc. * Modify intrin_rvv: Use reinterpret instead of c-style casting. * Remove all macros which is not used in v_reinterpret * Rename vpopc to vcpop according to spec.	2021-12-03 15:13:24 +00:00
rogday	f044037ec5	Merge pull request #20733 from rogday:argmaxnd Implement ArgMax and ArgMin * add reduceArgMax and reduceArgMin * fix review comments * address review concerns	2021-11-28 16:17:46 +00:00
yuki takehara	a6277370ca	Merge pull request #21107 from take1014:remove_assert_21038 resolves #21038 * remove C assert * revert C header * fix several points in review * fix test_ds.cpp	2021-11-27 18:34:52 +00:00
Alexander Alekhin	d228c5459d	core: avoid using of 'check' identifier	2021-11-18 16:02:59 +00:00
Alexander Alekhin	827ff80c06	Merge pull request #20977 from JulieBar:remap_overflow	2021-11-11 22:06:16 +00:00
Alexander Alekhin	7842181b47	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2021-11-05 09:27:46 +00:00
Alexander Alekhin	2ce47fda88	Merge pull request #21011 from vrabaud:3.4	2021-11-05 09:25:50 +00:00
Vincent Rabaud	ffd010767f	Only use fma functions when CV_FMA3 is set. In practice, processors offering AVX2/AVX512 also FMA, that is why it got unnoticed.	2021-11-04 23:15:49 +01:00
Alexander Alekhin	7b57df02a7	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2021-10-30 14:26:17 +00:00
Julie Bareeva	69d0bc8fd5	Added overflow handling during conversion from float to int for LinearFilter	2021-10-29 19:46:11 +03:00
Alexander Alekhin	74cc63ba2f	Merge pull request #20969 from alalek:fix_msvc_clang_warning_noreturn	2021-10-28 23:00:49 +00:00
Alexander Alekhin	a49cda6523	core: eliminate Winvalid-noreturn in base.hpp	2021-10-28 21:33:20 +00:00

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