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opencv/modules/core/CMakeLists.txt

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CMake
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Global CMake reorganization: [~] Automatically tracked dependencies between modules [+] Support for optional module dependencies [+] Options to choose modules to build [~] Removed hardcoded modules lists from OpenCVConfig.cmake, opencv.pc and OpenCV.mk [+] Added COMPONENTS support for FIND_PACKAGE(OpenCV) [~] haartraining and traincascade are moved outside of modules folder since they aren't the modules
2012-02-03 19:26:49 +08:00
set(the_description "The Core Functionality")
core(mathfuncs_core): cpu optimization dispatched code
2017-03-23 21:09:47 +08:00
ocv_add_dispatched_file(mathfuncs_core SSE2 AVX AVX2)
core(stat): optimize size of binaries, drop AVX dispatch (no imrovements)
2017-07-02 23:49:38 +08:00
ocv_add_dispatched_file(stat SSE4_2 AVX2)
core: several improves and fixes on ppc64le infrastructure - add infrastructure support for Power9/VSX3 - fix missing VSX flags on GCC4.9 and CLANG4(#13210, #13222) - fix disable VSX optimzation on GCC by using flag ENABLE_VSX - flag ENABLE_VSX is deprecated now, use CPU_BASELINE, CPU_DISPATCH instead - add VSX3 to arithmetic dispatchable flags
2018-11-20 20:05:20 +08:00
ocv_add_dispatched_file(arithm SSE2 SSE4_1 AVX2 VSX3)
core:vsx Add support for VSX3 half precision conversions
2019-03-20 13:51:32 +08:00
ocv_add_dispatched_file(convert SSE2 AVX2 VSX3)
core: dispatch convert_scale
2019-02-08 22:56:25 +08:00
ocv_add_dispatched_file(convert_scale SSE2 AVX2)
core: dispatch count_non_zero
2019-02-13 23:27:55 +08:00
ocv_add_dispatched_file(count_non_zero SSE2 AVX2)
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 18:37:20 +08:00
ocv_add_dispatched_file(has_non_zero SSE2 AVX2)
neon: add dotprod dispatch implementation * read vector at runtime * add enum
2022-07-20 18:25:39 +08:00
ocv_add_dispatched_file(matmul SSE2 SSE4_1 AVX2 AVX512_SKX NEON_DOTPROD)
core: dispatch mean.cpp
2019-02-19 21:58:32 +08:00
ocv_add_dispatched_file(mean SSE2 AVX2)
core: dispatch merge.cpp
2019-02-22 19:17:18 +08:00
ocv_add_dispatched_file(merge SSE2 AVX2)
core: dispatch split.cpp
2019-02-22 17:35:32 +08:00
ocv_add_dispatched_file(split SSE2 AVX2)
core: dispatch sum
2019-02-11 21:21:49 +08:00
ocv_add_dispatched_file(sum SSE2 AVX2)
core(mathfuncs_core): cpu optimization dispatched code
2017-03-23 21:09:47 +08:00
core(test): intrinsic tests for all dispatched CPU optimizations - tests for both SIMD128 / SIMD256 - different dispatched + baseline(SIMD128) intrinsics
2018-07-30 23:53:05 +08:00
# dispatching for accuracy tests
Merge pull request #14210 from terfendail:wui_512 AVX512 wide universal intrinsics (#14210) * Added implementation of 512-bit wide universal intrinsics(WIP) * Added implementation of 512-bit wide universal intrinsics: implemented WUI vector types(WIP) * Added implementation of 512-bit wide universal intrinsics(WIP): implemented load/store * Added implementation of 512-bit wide universal intrinsics(WIP): implemented fp16 load/store * Added implementation of 512-bit wide universal intrinsics(WIP): implemented recombine and zip, implemented non-saturating and saturating arithmetics * Added implementation of 512-bit wide universal intrinsics(WIP): implemented bit operations * Added implementation of 512-bit wide universal intrinsics(WIP): implemented comparisons * Added implementation of 512-bit wide universal intrinsics(WIP): implemented lane shifts and reduction * Added implementation of 512-bit wide universal intrinsics(WIP): implemented absolute values * Added implementation of 512-bit wide universal intrinsics(WIP): implemented rounding and cast to float * Added implementation of 512-bit wide universal intrinsics(WIP): implemented LUT * Added implementation of 512-bit wide universal intrinsics(WIP): implemented type extension/narrowing and matrix operations * Added implementation of 512-bit wide universal intrinsics(WIP): implemented load_deinterleave for 2 and 3 channels images * Added implementation of 512-bit wide universal intrinsics(WIP): reimplemented load_deinterleave for 2- and implemented for 4-channel images * Added implementation of 512-bit wide universal intrinsics(WIP): implemented store_interleave * Added implementation of 512-bit wide universal intrinsics(WIP): implemented signmask and checks * Added implementation of 512-bit wide universal intrinsics(WIP): build fixes * Added implementation of 512-bit wide universal intrinsics(WIP): reimplemented popcount in case AVX512_BITALG is unavailable * Added implementation of 512-bit wide universal intrinsics(WIP): reimplemented zip * Added implementation of 512-bit wide universal intrinsics(WIP): reimplemented rotate for s8 and s16 * Added implementation of 512-bit wide universal intrinsics(WIP): reimplemented interleave/deinterleave for s8 and s16 * Added implementation of 512-bit wide universal intrinsics(WIP): updated v512_set macros * Added implementation of 512-bit wide universal intrinsics(WIP): fix for GCC wrong _mm512_abs_pd definition * Added implementation of 512-bit wide universal intrinsics(WIP): reworked v_zip to avoid AVX512_VBMI intrinsics * Added implementation of 512-bit wide universal intrinsics(WIP): reworked v_invsqrt to avoid AVX512_ER intrinsics * Added implementation of 512-bit wide universal intrinsics(WIP): reworked v_rotate, v_popcount and interleave/deinterleave for U8 to avoid AVX512_VBMI intrinsics * Added implementation of 512-bit wide universal intrinsics(WIP): fixed integral image SIMD part * Added implementation of 512-bit wide universal intrinsics(WIP): fixed warnings * Added implementation of 512-bit wide universal intrinsics(WIP): fixed load_deinterleave for u8 and u16 * Added implementation of 512-bit wide universal intrinsics(WIP): fixed v_invsqrt accuracy for f64 * Added implementation of 512-bit wide universal intrinsics(WIP): fixed interleave/deinterleave for u32 and u64 * Added implementation of 512-bit wide universal intrinsics(WIP): fixed interleave_pairs, interleave_quads and pack_triplets * Added implementation of 512-bit wide universal intrinsics(WIP): fixed rotate_left * Added implementation of 512-bit wide universal intrinsics(WIP): fixed rotate_left/right, part 2 * Added implementation of 512-bit wide universal intrinsics(WIP): fixed 512-wide universal intrinsics based resize * Added implementation of 512-bit wide universal intrinsics(WIP): fixed findContours by avoiding use of uint64 dependent 512-wide v_signmask() * Added implementation of 512-bit wide universal intrinsics(WIP): fixed trailing whitespaces * Added implementation of 512-bit wide universal intrinsics(WIP): reworked specific intrinsic sets dependent parts to check availability of intrinsics based on CPU feature group defines * Added implementation of 512-bit wide universal intrinsics(WIP):Updated AVX512 implementation of v_popcount to avoid AVX512VPOPCNTDQ intrinsics if unavailable. * Added implementation of 512-bit wide universal intrinsics(WIP): Fixed universal intrinsics data initialisation, v_mul_wrap, v_floor, v_ceil and v_signmask. * Added implementation of 512-bit wide universal intrinsics(WIP): Removed hasSIMD512() * Added implementation of 512-bit wide universal intrinsics(WIP): Fixes for gcc build * Added implementation of 512-bit wide universal intrinsics(WIP): Reworked v_signmask, v_check_any() and v_check_all() implementation.
2019-06-03 23:05:35 +08:00
ocv_add_dispatched_file_force_all(test_intrin128 TEST SSE2 SSE3 SSSE3 SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX)
ocv_add_dispatched_file_force_all(test_intrin256 TEST AVX2 AVX512_SKX)
ocv_add_dispatched_file_force_all(test_intrin512 TEST AVX512_SKX)
core(test): intrinsic tests for all dispatched CPU optimizations - tests for both SIMD128 / SIMD256 - different dispatched + baseline(SIMD128) intrinsics
2018-07-30 23:53:05 +08:00
core(parallel): plugins support
2021-02-04 06:04:35 +08:00
core(parallel): fix plugins handling if no filesystem available
2021-03-19 06:58:05 +08:00
set(PARALLEL_ENABLE_PLUGINS_DEFAULT ON)
if(EMSCRIPTEN OR IOS OR WINRT)
set(PARALLEL_ENABLE_PLUGINS_DEFAULT OFF)
endif()
core(parallel): plugins support
2021-02-04 06:04:35 +08:00
# parallel backends configuration
core(parallel): fix plugins handling if no filesystem available
2021-03-19 06:58:05 +08:00
set(PARALLEL_ENABLE_PLUGINS "${PARALLEL_ENABLE_PLUGINS_DEFAULT}" CACHE BOOL "Allow building parallel plugin support")
core(parallel): plugins support
2021-02-04 06:04:35 +08:00
# TODO building plugins with OpenCV is not supported yet
#set(PARALLEL_PLUGIN_LIST "" CACHE STRING "List of parallel backends to be compiled as plugins (tbb, openmp or special value 'all')")
#string(REPLACE "," ";" PARALLEL_PLUGIN_LIST "${PARALLEL_PLUGIN_LIST}") # support comma-separated list (,) too
cmake: force lowercase plugins internal names
2021-12-22 00:34:48 +08:00
#string(TOLOWER "${PARALLEL_PLUGIN_LIST}" PARALLEL_PLUGIN_LIST)
core(parallel): plugins support
2021-02-04 06:04:35 +08:00
fix tests build (win,shared,world)
2015-06-05 21:24:38 +08:00
ocv_add_module(core
Modified java wrapping mechanism
2015-02-19 21:17:19 +08:00
OPTIONAL opencv_cudev
Merge pull request #17165 from komakai:objc-binding Objc binding * Initial work on Objective-C wrapper * Objective-C generator script; update manually generated wrappers * Add Mat tests * Core Tests * Imgproc wrapper generation and tests * Fixes for Imgcodecs wrapper * Miscellaneous fixes. Swift build support * Objective-C wrapper build/install * Add Swift wrappers for videoio/objdetect/feature2d * Framework build;iOS support * Fix toArray functions;Use enum types whenever possible * Use enum types where possible;prepare test build * Update test * Add test runner scripts for iOS and macOS * Add test scripts and samples * Build fixes * Fix build (cmake 3.17.x compatibility) * Fix warnings * Fix enum name conflicting handling * Add support for document generation with Jazzy * Swift/Native fast accessor functions * Add Objective-C wrapper for calib3d, dnn, ml, photo and video modules * Remove IntOut/FloatOut/DoubleOut classes * Fix iOS default test platform value * Fix samples * Revert default framework name to opencv2 * Add converter util functions * Fix failing test * Fix whitespace * Add handling for deprecated methods;fix warnings;define __OPENCV_BUILD * Suppress cmake warnings * Reduce severity of "jazzy not found" log message * Fix incorrect #include of compatibility header in ios.h * Use explicit returns in subscript/get implementation * Reduce minimum required cmake version to 3.15 for Objective-C/Swift binding
2020-06-09 02:32:53 +08:00
WRAP java objc python js)
Fixing build with CUDA enabled
2012-02-03 19:54:16 +08:00
Adding support for WinRT(WinPhone 8/8.1 and Win Store) via CMake 3.1 - Substituted HAVE_WINRT with WINRT - Fixed compilation issues in ocl.cpp and parallel.cpp - Fixed compiler issue for WP8: "C2678: binary '+' : no operator found which takes a left-hand - Fixed gitignore - Added #ifdef HAVE_OPENCL to remove compiler warnings in ocl.cpp - Used NO_GETENV similar to '3rdparty\libjpeg\jmemmgr.c; - Added ole32.lib for core module (for WindowsStore 8.0 builds) - Made OpenCV_ARCH aware of ARM Signed-off-by: Maxim Kostin <v-maxkos@microsoft.com>
2015-02-21 00:47:45 +08:00
set(extra_libs "")
cmake: update initialization
2019-07-18 18:22:02 +08:00
if(WINRT AND WINDOWS_STORE AND CMAKE_SYSTEM_VERSION MATCHES "8.0")
Adding support for WinRT(WinPhone 8/8.1 and Win Store) via CMake 3.1 - Substituted HAVE_WINRT with WINRT - Fixed compilation issues in ocl.cpp and parallel.cpp - Fixed compiler issue for WP8: "C2678: binary '+' : no operator found which takes a left-hand - Fixed gitignore - Added #ifdef HAVE_OPENCL to remove compiler warnings in ocl.cpp - Used NO_GETENV similar to '3rdparty\libjpeg\jmemmgr.c; - Added ole32.lib for core module (for WindowsStore 8.0 builds) - Made OpenCV_ARCH aware of ARM Signed-off-by: Maxim Kostin <v-maxkos@microsoft.com>
2015-02-21 00:47:45 +08:00
list(APPEND extra_libs ole32.lib)
API restricted on WinRT partially removed from core. Additional CMAKE flag WITH_WINRT added.
2013-07-19 17:43:05 +08:00
endif()
Reduced direct TBB dependencies
2018-04-06 19:21:15 +08:00
if(HAVE_TBB)
list(APPEND extra_libs tbb)
endif()
Update CMakeLists.txt WinRT parallels library is causing conflicts in VC++ due to inconsistent usage with C++/CX which is now present in parallels.cpp. This support should be included in all projects with WinRT specific code except if doing special native C++ tasks.
2015-12-09 10:45:10 +08:00
if(DEFINED WINRT AND NOT DEFINED ENABLE_WINRT_MODE_NATIVE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /ZW")
endif()
Global CMake reorganization: [~] Automatically tracked dependencies between modules [+] Support for optional module dependencies [+] Options to choose modules to build [~] Removed hardcoded modules lists from OpenCVConfig.cmake, opencv.pc and OpenCV.mk [+] Added COMPONENTS support for FIND_PACKAGE(OpenCV) [~] haartraining and traincascade are moved outside of modules folder since they aren't the modules
2012-02-03 19:26:49 +08:00
if(HAVE_CUDA)
cmake: fix CUDA world build
2019-04-01 03:54:13 +08:00
if(NOT HAVE_opencv_cudev)
cmake: emit error if CUDA is enabled without opencv_contrib
2019-03-28 21:51:11 +08:00
message(FATAL_ERROR "CUDA: OpenCV requires enabled 'cudev' module from 'opencv_contrib' repository: https://github.com/opencv/opencv_contrib")
endif()
Merge remote-tracking branch 'origin/2.4' into merge-2.4 Conflicts: cmake/OpenCVDetectCUDA.cmake doc/tutorials/introduction/linux_gcc_cmake/linux_gcc_cmake.rst modules/core/CMakeLists.txt modules/features2d/perf/opencl/perf_brute_force_matcher.cpp modules/highgui/src/grfmt_tiff.cpp modules/imgproc/src/clahe.cpp modules/imgproc/src/moments.cpp modules/nonfree/CMakeLists.txt modules/ocl/perf/perf_ml.cpp modules/superres/CMakeLists.txt
2014-02-24 18:35:34 +08:00
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef -Wenum-compare -Wunused-function -Wshadow)
Global CMake reorganization: [~] Automatically tracked dependencies between modules [+] Support for optional module dependencies [+] Options to choose modules to build [~] Removed hardcoded modules lists from OpenCVConfig.cmake, opencv.pc and OpenCV.mk [+] Added COMPONENTS support for FIND_PACKAGE(OpenCV) [~] haartraining and traincascade are moved outside of modules folder since they aren't the modules
2012-02-03 19:26:49 +08:00
endif()
cmake: fix ITT define condition
2019-11-01 20:07:49 +08:00
if(CV_TRACE AND HAVE_ITT)
trace: initial support for code trace
2017-05-25 23:59:01 +08:00
add_definitions(-DOPENCV_WITH_ITT=1)
endif()
Merge pull request #24179 from Kumataro:fix24145 * core:add OPENCV_IPP_MEAN/MINMAX/SUM option to enable IPP optimizations * fix: to use guard HAVE_IPP and ocv_append_source_file_compile_definitions() macro. * support OPENCV_IPP_ENABLE_ALL * add document for OPENCV_IPP_ENABLE_ALL * fix OPENCV_IPP_ENABLE_ALL comment
2023-08-24 03:53:11 +08:00
# https://github.com/opencv/opencv/issues/24145
if(HAVE_IPP)
OCV_OPTION(OPENCV_IPP_ENABLE_ALL "Enable all OPENCV_IPP_ options at once" OFF)
OCV_OPTION(OPENCV_IPP_MEAN "Enable IPP optimizations for mean (+200Kb in binary size)" OPENCV_IPP_ENABLE_ALL)
OCV_OPTION(OPENCV_IPP_MINMAX "Enable IPP optimizations for minMaxLoc/minMaxIdx (+200Kb in binary size)" OPENCV_IPP_ENABLE_ALL)
OCV_OPTION(OPENCV_IPP_SUM "Enable IPP optimizations for sum (+100Kb in binary size)" OPENCV_IPP_ENABLE_ALL)
if(OPENCV_IPP_MEAN)
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/mean.dispatch.cpp "OPENCV_IPP_MEAN=1")
endif()
if(OPENCV_IPP_MINMAX)
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/minmax.cpp "OPENCV_IPP_MINMAX=1")
endif()
if(OPENCV_IPP_SUM)
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/sum.dispatch.cpp "OPENCV_IPP_SUM=1")
endif()
endif()
Fixed core headers installation in world builds
2018-08-16 22:16:02 +08:00
file(GLOB lib_cuda_hdrs
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/cuda/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/cuda/*.h")
file(GLOB lib_cuda_hdrs_detail
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/cuda/detail/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/cuda/detail/*.h")
file(GLOB_RECURSE module_opencl_hdrs
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/opencl/*")
fixed source_group
2013-04-05 00:54:35 +08:00
cmake: minimize MSVS projects layout Also put "object" targets to off by default (they doesn't work well)
2016-08-26 18:33:47 +08:00
source_group("Include\\Cuda Headers" FILES ${lib_cuda_hdrs})
source_group("Include\\Cuda Headers\\Detail" FILES ${lib_cuda_hdrs_detail})
core: parallel backends API - allow to replace parallel_for() backend
2021-01-21 19:03:17 +08:00
file(GLOB_RECURSE core_parallel_hdrs
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/parallel/*.hpp"
"${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/parallel/*.h")
ocv_source_group("Include" DIRBASE "${CMAKE_CURRENT_LIST_DIR}/include" FILES ${core_parallel_hdrs})
cmake: minimize MSVS projects layout Also put "object" targets to off by default (they doesn't work well)
2016-08-26 18:33:47 +08:00
source_group("Src" FILES "${OPENCV_MODULE_opencv_core_BINARY_DIR}/version_string.inc")
fixed source_group
2013-04-05 00:54:35 +08:00
world fix
2014-08-01 22:11:20 +08:00
ocv_glob_module_sources(SOURCES "${OPENCV_MODULE_opencv_core_BINARY_DIR}/version_string.inc"
core: parallel backends API - allow to replace parallel_for() backend
2021-01-21 19:03:17 +08:00
HEADERS ${core_parallel_hdrs} ${module_opencl_hdrs} ${lib_cuda_hdrs} ${lib_cuda_hdrs_detail})
moved device layer to core module
2013-03-31 18:54:23 +08:00
android: make optional "cpufeatures", build fixes for NDK r15
2017-06-13 00:10:13 +08:00
ocv_module_include_directories(${the_module} ${ZLIB_INCLUDE_DIRS} ${OPENCL_INCLUDE_DIRS})
if(ANDROID AND HAVE_CPUFEATURES)
Extending CPU dispatch to the tests; fixing a typo
2017-08-21 11:31:21 +08:00
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/system.cpp "HAVE_CPUFEATURES=1")
android: make optional "cpufeatures", build fixes for NDK r15
2017-06-13 00:10:13 +08:00
ocv_module_include_directories(${CPUFEATURES_INCLUDE_DIRS})
endif()
trace: initial support for code trace
2017-05-25 23:59:01 +08:00
if(ITT_INCLUDE_DIRS)
ocv_module_include_directories(${ITT_INCLUDE_DIRS})
endif()
core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks
2017-07-27 23:01:34 +08:00
if(HAVE_POSIX_MEMALIGN)
Extending CPU dispatch to the tests; fixing a typo
2017-08-21 11:31:21 +08:00
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/alloc.cpp "HAVE_POSIX_MEMALIGN=1")
core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks
2017-07-27 23:01:34 +08:00
endif()
if(HAVE_MALLOC_H)
Extending CPU dispatch to the tests; fixing a typo
2017-08-21 11:31:21 +08:00
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/alloc.cpp "HAVE_MALLOC_H=1")
core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks
2017-07-27 23:01:34 +08:00
endif()
if(HAVE_MEMALIGN)
Extending CPU dispatch to the tests; fixing a typo
2017-08-21 11:31:21 +08:00
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/alloc.cpp "HAVE_MEMALIGN=1")
core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks
2017-07-27 23:01:34 +08:00
endif()
add windows native aligned malloc + unit test case * implements https://github.com/opencv/opencv/issues/19147 * CAUTION: this PR will only functions safely in the 4+ branches that already include PR 19029 * CAUTION: this PR requires thread-safe startup of the alloc.cpp translation unit as implemented in PR 19029
2020-12-23 21:59:28 +08:00
if(HAVE_WIN32_ALIGNED_MALLOC)
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/alloc.cpp "HAVE_WIN32_ALIGNED_MALLOC=1")
endif()
Fixed and updated OpenCL-VA interoperability
2020-09-11 18:29:31 +08:00
if(HAVE_VA_INTEL_OLD_HEADER)
ocv_append_source_file_compile_definitions("${CMAKE_CURRENT_LIST_DIR}/src/va_intel.cpp" "HAVE_VA_INTEL_OLD_HEADER")
endif()
core(libva): use dynamic loader
2021-02-18 21:36:07 +08:00
if(OPENCV_LIBVA_LINK)
ocv_append_source_file_compile_definitions("${CMAKE_CURRENT_LIST_DIR}/src/va_intel.cpp" "OPENCV_LIBVA_LINK=1")
endif()
core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks
2017-07-27 23:01:34 +08:00
core: adjust type of allocator_stats counter, allow to disable
2020-01-21 18:51:03 +08:00
option(OPENCV_ENABLE_ALLOCATOR_STATS "Enable Allocator metrics" ON)
if(NOT OPENCV_ENABLE_ALLOCATOR_STATS)
add_definitions(-DOPENCV_DISABLE_ALLOCATOR_STATS=1)
core: update handling of allocator stats type - don't use OPENCV_ALLOCATOR_STATS_COUNTER_TYPE definition in non C++11 builds - don't use with MinGW
2020-12-06 04:41:25 +08:00
elseif(HAVE_CXX11 OR DEFINED OPENCV_ALLOCATOR_STATS_COUNTER_TYPE)
core: adjust type of allocator_stats counter, allow to disable
2020-01-21 18:51:03 +08:00
if(NOT DEFINED OPENCV_ALLOCATOR_STATS_COUNTER_TYPE)
if(HAVE_ATOMIC_LONG_LONG AND OPENCV_ENABLE_ATOMIC_LONG_LONG)
core: update handling of allocator stats type - don't use OPENCV_ALLOCATOR_STATS_COUNTER_TYPE definition in non C++11 builds - don't use with MinGW
2020-12-06 04:41:25 +08:00
if(MINGW)
# command-line generation issue due to space in value, int/int64_t should be used instead
# https://github.com/opencv/opencv/issues/16990
message(STATUS "Consider adding OPENCV_ALLOCATOR_STATS_COUNTER_TYPE=int/int64_t according to your build configuration")
else()
set(OPENCV_ALLOCATOR_STATS_COUNTER_TYPE "long long")
endif()
core: adjust type of allocator_stats counter, allow to disable
2020-01-21 18:51:03 +08:00
else()
set(OPENCV_ALLOCATOR_STATS_COUNTER_TYPE "int")
endif()
endif()
core: update handling of allocator stats type - don't use OPENCV_ALLOCATOR_STATS_COUNTER_TYPE definition in non C++11 builds - don't use with MinGW
2020-12-06 04:41:25 +08:00
if(DEFINED OPENCV_ALLOCATOR_STATS_COUNTER_TYPE)
message(STATUS "Allocator metrics storage type: '${OPENCV_ALLOCATOR_STATS_COUNTER_TYPE}'")
add_definitions("-DOPENCV_ALLOCATOR_STATS_COUNTER_TYPE=${OPENCV_ALLOCATOR_STATS_COUNTER_TYPE}")
endif()
core: adjust type of allocator_stats counter, allow to disable
2020-01-21 18:51:03 +08:00
endif()
core(parallel): plugins support
2021-02-04 06:04:35 +08:00
if(PARALLEL_ENABLE_PLUGINS)
ocv_append_source_file_compile_definitions(${CMAKE_CURRENT_SOURCE_DIR}/src/parallel/parallel.cpp "PARALLEL_ENABLE_PLUGINS=1")
if(OPENCV_DEBUG_POSTFIX)
ocv_append_source_file_compile_definitions("${CMAKE_CURRENT_LIST_DIR}/src/parallel/parallel.cpp" "DEBUG_POSTFIX=${OPENCV_DEBUG_POSTFIX}")
endif()
endif()
Adding support for WinRT(WinPhone 8/8.1 and Win Store) via CMake 3.1 - Substituted HAVE_WINRT with WINRT - Fixed compilation issues in ocl.cpp and parallel.cpp - Fixed compiler issue for WP8: "C2678: binary '+' : no operator found which takes a left-hand - Fixed gitignore - Added #ifdef HAVE_OPENCL to remove compiler warnings in ocl.cpp - Used NO_GETENV similar to '3rdparty\libjpeg\jmemmgr.c; - Added ole32.lib for core module (for WindowsStore 8.0 builds) - Made OpenCV_ARCH aware of ARM Signed-off-by: Maxim Kostin <v-maxkos@microsoft.com>
2015-02-21 00:47:45 +08:00
ocv_create_module(${extra_libs})
Global CMake reorganization: [~] Automatically tracked dependencies between modules [+] Support for optional module dependencies [+] Options to choose modules to build [~] Removed hardcoded modules lists from OpenCVConfig.cmake, opencv.pc and OpenCV.mk [+] Added COMPONENTS support for FIND_PACKAGE(OpenCV) [~] haartraining and traincascade are moved outside of modules folder since they aren't the modules
2012-02-03 19:26:49 +08:00
Merge pull request #16150 from alalek:cmake_avoid_deprecated_link_private * cmake: avoid deprecated LINK_PRIVATE/LINK_PUBLIC see CMP0023 (CMake 2.8.12+) * cmake: fix 3rdparty list - don't include OpenCV modules
2019-12-13 22:52:40 +08:00
ocv_target_link_libraries(${the_module} PRIVATE
trace: initial support for code trace
2017-05-25 23:59:01 +08:00
"${ZLIB_LIBRARIES}" "${OPENCL_LIBRARIES}" "${VA_LIBRARIES}"
cmake: fix OPENGL_LIBRARIES handling
2021-12-07 13:47:54 +08:00
"${OPENGL_LIBRARIES}"
highgui Wayland xdg_shell -enable using -DWITH_WAYLAND=ON -adapted from https://github.com/pfpacket/opencv-wayland -using xdg_shell stable protocol -overrides HAVE_QT if HAVE_WAYLAND and WITH_WAYLAND are set Signed-off-by: Joel Winarske <joel.winarske@gmail.com> Co-authored-by: Ryo Munakata <afpacket@gmail.com>
2022-06-15 06:16:51 +08:00
"${GLX_LIBRARIES}"
Update OpenCVDetectInferenceEngine.cmake
2018-03-28 21:34:37 +08:00
"${LAPACK_LIBRARIES}" "${CPUFEATURES_LIBRARIES}" "${HALIDE_LIBRARIES}"
trace: initial support for code trace
2017-05-25 23:59:01 +08:00
"${ITT_LIBRARIES}"
cmake: CMP0022 NEW
2017-08-17 05:23:06 +08:00
"${OPENCV_HAL_LINKER_LIBS}"
trace: initial support for code trace
2017-05-25 23:59:01 +08:00
)
cmake: fix order of MKL libraries, don't pass additional libraries as modules
2017-02-15 22:12:28 +08:00
core: rework code locality - to reduce binaries size of FFmpeg Windows wrapper - MinGW linker doesn't support -ffunction-sections (used for FFmpeg Windows wrapper) - move code to improve locality with its used dependencies - move UMat::dot() to matmul.dispatch.cpp (Mat::dot() is already there) - move UMat::inv() to lapack.cpp - move UMat::mul() to arithm.cpp - move UMat:eye() to matrix_operations.cpp (near setIdentity() implementation) - move normalize(): convert_scale.cpp => norm.cpp - move convertAndUnrollScalar(): arithm.cpp => copy.cpp - move scalarToRawData(): array.cpp => copy.cpp - move transpose(): matrix_operations.cpp => matrix_transform.cpp - move flip(), rotate(): copy.cpp => matrix_transform.cpp (rotate90 uses flip and transpose) - add 'OPENCV_CORE_EXCLUDE_C_API' CMake variable to exclude compilation of C-API functions from the core module - matrix_wrap.cpp: add compile-time checks for CUDA/OpenGL calls - the steps above allow to reduce FFmpeg wrapper size for ~1.5Mb (initial size of OpenCV part is about 3Mb)
2021-02-23 08:22:06 +08:00
if(OPENCV_CORE_EXCLUDE_C_API)
ocv_target_compile_definitions(${the_module} PRIVATE "OPENCV_EXCLUDE_C_API=1")
endif()
Merge pull request #19985 from fpetrogalli:disable_threads * [build][option] Introduce `OPENCV_DISABLE_THREAD_SUPPORT` option. The option forces the library to build without thread support. * update handling of OPENCV_DISABLE_THREAD_SUPPORT - reduce amount of #if conditions * [to squash] cmake: apply mode vars in toolchains too Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
2021-07-09 04:21:21 +08:00
if(OPENCV_DISABLE_THREAD_SUPPORT)
ocv_target_compile_definitions(${the_module} PUBLIC "OPENCV_DISABLE_THREAD_SUPPORT=1")
endif()
Merge pull request #20392 from fpetrogalli:aarch64-semihosting AArch64 semihosting * [ts] Disable filesystem support in the TS module. Because of this change, all the tests loading data will file, but tat least the core module can be tested with the following line: opencv_test_core --gtest_filter=-"*Core_InputOutput*:*Core_globbing.accuracy*" * [aarch64] Build OpenCV for AArch64 semihosting. This patch provide a toolchain file that allows to build the library for semihosting applications [1]. Minimal changes have been applied to the code to be able to compile with a baremetal toolchain. [1] https://developer.arm.com/documentation/100863/latest The option `CV_SEMIHOSTING` is used to guard the bits in the code that are specific to the target. To build the code: cmake ../opencv/ \ -DCMAKE_TOOLCHAIN_FILE=../opencv/platforms/semihosting/aarch64-semihosting.toolchain.cmake \ -DSEMIHOSTING_TOOLCHAIN_PATH=/path/to/baremetal-toolchain/bin/ \ -DBUILD_EXAMPLES=ON -GNinja A barematel toolchain for targeting aarch64 semihosting can be found at [2], under `aarch64-none-elf`. [2] https://developer.arm.com/tools-and-software/open-source-software/developer-tools/gnu-toolchain/gnu-a/downloads The folder `samples/semihosting` provides two example semihosting applications. The two binaries can be executed on the host platform with: qemu-aarch64 ./bin/example_semihosting_histogram qemu-aarch64 ./bin/example_semihosting_norm Similarly, the test and perf executables of the modules can be run with: qemu-aarch64 ./bin/opecv_[test|perf]_<module> Notice that filesystem support is disabled by the toolchain file, hence some of the test that depend on filesystem support will fail. * [semihosting] Remove blank like at the end of file. [NFC] The spurious blankline was reported by https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31158. * [semihosting] Make the raw pixel file generation OS independent. Use the facilities provided by Cmake to generate the header file instead of a shell script, so that the build doesn't fail on systems that do not have a unix shell. * [semihosting] Rename variable for semihosting compilation. * [semihosting] Move the cmake configuration to a variable file. * [semihosting] Make the guard macro private for the core module. * [semihosting] Remove space. [NFC] * [semihosting] Improve comment with information about semihosting. [NFC] * [semihosting] Update license statement on top of sourvce file. [NFC] * [semihosting] Replace BM_SUFFIX with SEMIHOSTING_SUFFIX. [NFC] * [semihosting] Remove double space. [NFC] * [semihosting] Add some text output to the sample applications. * [semihosting] Remove duplicate entry in cmake configuration. [NFCI] * [semihosting] Replace `long` with `int` in sample apps. [NFCI] * [semihosting] Use `configure_file` to create the random pixels. [NFCI] * [semihosting][bugfix] Fix name of cmakedefine variable. * [semihosting][samples] Use CV_8UC1 for grayscale images. [NFCI] * [semihosting] Add readme file. * [semihosting] Remove blank like at the end of README. [NFC] This fixes the failure at https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31272.
2021-07-21 23:46:05 +08:00
if(OPENCV_SEMIHOSTING)
ocv_target_compile_definitions(${the_module} PRIVATE "-DOPENCV_SEMIHOSTING")
endif(OPENCV_SEMIHOSTING)
Merge pull request #11897 from Jakub-Golinowski:hpx_backend * Add HPX backend for OpenCV implementation Adds hpx backend for cv::parallel_for_() calls respecting the nstripes chunking parameter. C++ code for the backend is added to modules/core/parallel.cpp. Also, the necessary changes to cmake files are introduced. Backend can operate in 2 versions (selectable by cmake build option WITH_HPX_STARTSTOP): hpx (runtime always on) and hpx_startstop (start and stop the backend for each cv::parallel_for_() call) * WIP: Conditionally include hpx_main.hpp to tests in core module Header hpx_main.hpp is included to both core/perf/perf_main.cpp and core/test/test_main.cpp. The changes to cmake files for linking hpx library to above mentioned test executalbles are proposed but have issues. * Add coditional iclusion of hpx_main.hpp to cpp cpu modules * Remove start/stop version of hpx backend
2018-08-31 21:23:26 +08:00
if(HAVE_HPX)
ocv_target_link_libraries(${the_module} LINK_PRIVATE "${HPX_LIBRARIES}")
endif()
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 17:44:13 +08:00
if(HAVE_OPENMP AND DEFINED OpenMP_CXX_LIBRARIES AND OpenMP_CXX_LIBRARIES)
ocv_target_link_libraries(${the_module} LINK_PRIVATE "${OpenMP_CXX_LIBRARIES}")
endif()
Global CMake reorganization: [~] Automatically tracked dependencies between modules [+] Support for optional module dependencies [+] Options to choose modules to build [~] Removed hardcoded modules lists from OpenCVConfig.cmake, opencv.pc and OpenCV.mk [+] Added COMPONENTS support for FIND_PACKAGE(OpenCV) [~] haartraining and traincascade are moved outside of modules folder since they aren't the modules
2012-02-03 19:26:49 +08:00
ocv_add_accuracy_tests()
ocv_add_perf_tests()
Add install component for 3rdparty libraries licenses
2018-02-27 02:10:21 +08:00
ocv_install_3rdparty_licenses(SoftFloat "${CMAKE_CURRENT_SOURCE_DIR}/3rdparty/SoftFloat/COPYING.txt")
core: add utils::findDataFile() / samples::findFile()
2017-03-12 12:49:07 +08:00
# generate data (samples data) config file
Change custom_hal.hpp output location
2023-02-03 18:02:45 +08:00
set(OPENCV_DATA_CONFIG_FILE "${OPENCV_CONFIG_FILE_INCLUDE_DIR}/opencv_data_config.hpp")
core: add utils::findDataFile() / samples::findFile()
2017-03-12 12:49:07 +08:00
set(OPENCV_DATA_CONFIG_STR "")
if(CMAKE_INSTALL_PREFIX)
set(OPENCV_DATA_CONFIG_STR "${OPENCV_DATA_CONFIG_STR}
#define OPENCV_INSTALL_PREFIX \"${CMAKE_INSTALL_PREFIX}\"
")
endif()
if(OPENCV_OTHER_INSTALL_PATH)
set(OPENCV_DATA_CONFIG_STR "${OPENCV_DATA_CONFIG_STR}
#define OPENCV_DATA_INSTALL_PATH \"${OPENCV_OTHER_INSTALL_PATH}\"
")
endif()
set(OPENCV_DATA_CONFIG_STR "${OPENCV_DATA_CONFIG_STR}
#define OPENCV_BUILD_DIR \"${CMAKE_BINARY_DIR}\"
")
file(RELATIVE_PATH SOURCE_DIR_RELATIVE ${CMAKE_BINARY_DIR} ${CMAKE_SOURCE_DIR})
set(OPENCV_DATA_CONFIG_STR "${OPENCV_DATA_CONFIG_STR}
#define OPENCV_DATA_BUILD_DIR_SEARCH_PATHS \\
\"${SOURCE_DIR_RELATIVE}/\"
")
if(WIN32)
file(RELATIVE_PATH INSTALL_DATA_DIR_RELATIVE "${CMAKE_INSTALL_PREFIX}/${OPENCV_BIN_INSTALL_PATH}" "${CMAKE_INSTALL_PREFIX}/${OPENCV_OTHER_INSTALL_PATH}")
else()
file(RELATIVE_PATH INSTALL_DATA_DIR_RELATIVE "${CMAKE_INSTALL_PREFIX}/${OPENCV_LIB_INSTALL_PATH}" "${CMAKE_INSTALL_PREFIX}/${OPENCV_OTHER_INSTALL_PATH}")
endif()
list(APPEND OPENCV_INSTALL_DATA_DIR_RELATIVE "${INSTALL_DATA_DIR_RELATIVE}")
string(REPLACE ";" "\",\\\n \"" OPENCV_INSTALL_DATA_DIR_RELATIVE_STR "\"${OPENCV_INSTALL_DATA_DIR_RELATIVE}\"")
set(OPENCV_DATA_CONFIG_STR "${OPENCV_DATA_CONFIG_STR}
#define OPENCV_INSTALL_DATA_DIR_RELATIVE ${OPENCV_INSTALL_DATA_DIR_RELATIVE_STR}
")
if(EXISTS "${OPENCV_DATA_CONFIG_FILE}")
file(READ "${OPENCV_DATA_CONFIG_FILE}" __content)
endif()
if(NOT OPENCV_DATA_CONFIG_STR STREQUAL "${__content}")
file(WRITE "${OPENCV_DATA_CONFIG_FILE}" "${OPENCV_DATA_CONFIG_STR}")
endif()
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