opencv

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Author	SHA1	Message	Date
Liutong HAN	451ee3991e	Use local variable.	2023-11-03 10:21:13 +08:00
Alexander Smorkalov	97620c053f	Merge branch 4.x	2023-10-23 11:53:04 +03:00
CNClareChen	d142a796d8	Merge pull request #23929 from CNClareChen:4.x * Optimize some function with lasx. Optimize some function with lasx. #23929 This patch optimizes some lasx functions and reduces the runtime of opencv_test_core from 662,238ms to 633603ms on the 3A5000 platform. ### 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	2023-10-20 14:20:09 +03:00
Alexander Smorkalov	1c0ca41b6e	Merge pull request #24371 from hanliutong:clean-up Clean up the obsolete API of Universal Intrinsic	2023-10-20 12:50:26 +03:00
Vadim Pisarevsky	ba4d6c859d	added detection & dispatching of some modern NEON instructions (NEON_FP16, NEON_BF16) (#24420 ) * added more or less cross-platform (based on POSIX signal() semantics) method to detect various NEON extensions, such as FP16 SIMD arithmetics, BF16 SIMD arithmetics, SIMD dotprod etc. It could be propagated to other instruction sets if necessary. * hopefully fixed compile errors * continue to fix CI * another attempt to fix build on Linux aarch64 * * reverted to the original method to detect special arm neon instructions without signal() * renamed FP16_SIMD & BF16_SIMD to NEON_FP16 and NEON_BF16, respectively * removed extra whitespaces	2023-10-18 22:06:20 +03:00
Liutong HAN	a287605c3e	Clean up the Universal Intrinsic API.	2023-10-13 19:23:30 +08:00
Alexander Smorkalov	7e17f01b7b	Merge pull request #24368 from mshabunin:rvv-clang-17 RISC-V: added v0.12 intrinsics compatibility header	2023-10-12 10:28:54 +03:00
Maksim Shabunin	8edf37903d	RISC-V: added v0.12 intrinsics compatibility header	2023-10-06 20:16:57 +03:00
Sean McBride	5fb3869775	Merge pull request #23109 from seanm:misc-warnings * Fixed clang -Wnewline-eof warnings * Fixed all trivial clang -Wextra-semi and -Wc++98-compat-extra-semi warnings * Removed trailing semi from various macros * Fixed various -Wunused-macros warnings * Fixed some trivial -Wdocumentation warnings * Fixed some -Wdocumentation-deprecated-sync warnings * Fixed incorrect indentation * Suppressed some clang warnings in 3rd party code * Fixed QRCodeEncoder::Params documentation. --------- Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>	2023-10-06 13:33:21 +03:00
HAN Liutong	07bf9cb013	Merge pull request #24325 from hanliutong:rewrite Rewrite Universal Intrinsic code: float related part #24325 The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro: rewrite them by using the new Universal Intrinsic API. The series of PRs is listed below: #23885 First patch, an example #23980 Core module #24058 ImgProc module, part 1 #24132 ImgProc module, part 2 #24166 ImgProc module, part 3 #24301 Features2d and calib3d module #24324 Gapi module This patch (hopefully) is the last one in the series. This patch mainly involves 3 parts 1. Add some modifications related to float (CV_SIMD_64F) 2. Use `#if (CV_SIMD \|\| CV_SIMD_SCALABLE)` instead of `#if CV_SIMD \|\| CV_SIMD_SCALABLE`, then we can get the `CV_SIMD` module that is not enabled for `CV_SIMD_SCALABLE` by looking for `if CV_SIMD` 3. Summary of `CV_SIMD` blocks that remains unmodified: Updated comments - Some blocks will cause test fail when enable for RVV, marked as `TODO: enable for CV_SIMD_SCALABLE, ....` - Some blocks can not be rewrited directly. (Not commented in the source code, just listed here) - ./modules/core/src/mathfuncs_core.simd.hpp (Vector type wrapped in class/struct) - ./modules/imgproc/src/color_lab.cpp (Array of vector type) - ./modules/imgproc/src/color_rgb.simd.hpp (Array of vector type) - ./modules/imgproc/src/sumpixels.simd.hpp (fixed length algorithm, strongly ralated with `CV_SIMD_WIDTH`) These algorithms will need to be redesigned to accommodate scalable backends. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-10-05 17:57:25 +03:00
Alexander Smorkalov	163d544ecf	Merge branch 4.x	2023-10-02 10:17:23 +03:00
Maksim Shabunin	c3a37d0fcb	RISC-V: fix compilation in RVV scalable mode	2023-09-22 21:08:33 +03:00
Vadim Pisarevsky	416bf3253d	attempt to add 0d/1d mat support to OpenCV (#23473 ) * attempt to add 0d/1d mat support to OpenCV * revised the patch; now 1D mat is treated as 1xN 2D mat rather than Nx1. * a step towards 'green' tests * another little step towards 'green' tests * calib test failures seem to be fixed now * more fixes _core & _dnn * another step towards green ci; even 0D mat's (a.k.a. scalars) are now partly supported! * * fixed strange bug in aruco/charuco detector, not sure why it did not work * also fixed a few remaining failures (hopefully) in dnn & core * disabled failing GAPI tests - too complex to dig into this compiler pipeline * hopefully fixed java tests * trying to fix some more tests * quick followup fix * continue to fix test failures and warnings * quick followup fix * trying to fix some more tests * partly fixed support for 0D/scalar UMat's * use updated parseReduce() from upstream * trying to fix the remaining test failures * fixed [ch]aruco tests in Python * still trying to fix tests * revert "fix" in dnn's CUDA tensor * trying to fix dnn+CUDA test failures * fixed 1D umat creation * hopefully fixed remaining cuda test failures * removed training whitespaces	2023-09-21 18:24:38 +03:00
Kumataro	b870ad46bf	Merge pull request #24074 from Kumataro/fix24057 Python: support tuple src for cv::add()/subtract()/... #24074 fix https://github.com/opencv/opencv/issues/24057 ### 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	2023-09-19 10:32:47 +03:00
HAN Liutong	f617fbe166	Merge pull request #24132 from hanliutong:rewrite-imgproc2 Rewrite Universal Intrinsic code by using new API: ImgProc module Part 2 #24132 The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro in the opencv/modules/imgproc folder: rewrite them by using the new Universal Intrinsic API. This is the second part of the modification to the Imgproc module ( Part 1: #24058 ), And I tested this patch on RVV (QEMU) and AVX devices, `opencv_test_imgproc` is passed. The patch is partially auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter). ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-09-19 08:52:42 +03:00
Alexander Smorkalov	8f2e6640e3	Merge pull request #24288 from tailsu:sd/emscripten-3.1.45-fixes build fixes for emscripten 3.1.45	2023-09-19 08:09:18 +03:00
Stefan Dragnev	9b5a719d80	build fixes for emscripten 3.1.45	2023-09-18 15:38:31 +02:00
Alexander Smorkalov	fdab565711	Merge branch 4.x	2023-09-13 14:49:25 +03:00
Yuriy Chernyshov	494d201fda	Add missing <sstream> includes	2023-09-05 22:04:26 +03:00
Kumataro	72bb8bb73c	core: arm64: v_round() works with round to nearest, ties to even.	2023-09-04 10:27:55 +03:00
Yuantao Feng	a308dfca98	core: add broadcast (#23965 ) * add broadcast_to with tests * change name * fix test * fix implicit type conversion * replace type of shape with InputArray * add perf test * add perf tests which takes care of axis * v2 from ficus expand * rename to broadcast * use randu in place of declare * doc improvement; smaller scale in perf * capture get_index by reference	2023-08-30 09:53:59 +03:00
Alexander Smorkalov	232c67bf76	Merge pull request #24140 from sthibaul:4.x Fix GNU/Hurd build	2023-08-11 12:32:22 +03:00
HAN Liutong	0dd7769bb1	Merge pull request #23980 from hanliutong:rewrite-core Rewrite Universal Intrinsic code by using new API: Core module. #23980 The goal of this PR is to match and modify all SIMD code blocks guarded by `CV_SIMD` macro in the `opencv/modules/core` folder and rewrite them by using the new Universal Intrinsic API. The patch is almost auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter), related PR #23885. Most of the files have been rewritten, but I marked this PR as draft because, the `CV_SIMD` macro also exists in the following files, and the reasons why they are not rewrited are: 1. ~~code design for fixed-size SIMD (v_int16x8, v_float32x4, etc.), need to manually rewrite.~~ Rewrited - ./modules/core/src/stat.simd.hpp - ./modules/core/src/matrix_transform.cpp - ./modules/core/src/matmul.simd.hpp 2. Vector types are wrapped in other class/struct, that are not supported by the compiler in variable-length backends. Can not be rewrited directly. - ./modules/core/src/mathfuncs_core.simd.hpp ```cpp struct v_atan_f32 { explicit v_atan_f32(const float& scale) { ... } v_float32 compute(const v_float32& y, const v_float32& x) { ... } ... v_float32 val90; // sizeless type can not used in a class v_float32 val180; v_float32 val360; v_float32 s; }; ``` 3. The API interface does not support/does not match - ./modules/core/src/norm.cpp Use `v_popcount`, ~~waiting for #23966~~ Fixed - ./modules/core/src/has_non_zero.simd.hpp Use illegal Universal Intrinsic API: For float type, there is no logical operation `\|`. Further discussion needed ```cpp /** @brief Bitwise OR Only for integer types. / template<typename _Tp, int n> CV_INLINE v_reg<_Tp, n> operator\|(const v_reg<_Tp, n>& a, const v_reg<_Tp, n>& b); template<typename _Tp, int n> CV_INLINE v_reg<_Tp, n>& operator\|=(v_reg<_Tp, n>& a, const v_reg<_Tp, n>& b); ``` ```cpp #if CV_SIMD typedef v_float32 v_type; const v_type v_zero = vx_setzero_f32(); constexpr const int unrollCount = 8; int step = v_type::nlanes unrollCount; int len0 = len & -step; const float* srcSimdEnd = src+len0; int countSIMD = static_cast<int>((srcSimdEnd-src)/step); while(!res && countSIMD--) { v_type v0 = vx_load(src); src += v_type::nlanes; v_type v1 = vx_load(src); src += v_type::nlanes; .... src += v_type::nlanes; v0 \|= v1; //Illegal ? .... //res = v_check_any(((v0 \| v4) != v_zero));//beware : (NaN != 0) returns "false" since != is mapped to _CMP_NEQ_OQ and not _CMP_NEQ_UQ res = !v_check_all(((v0 \| v4) == v_zero)); } v_cleanup(); #endif ``` ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [ ] I agree to contribute to the project under Apache 2 License. - [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-08-11 08:33:33 +03:00
Samuel Thibault	82de5b3a67	Fix GNU/Hurd build It has the usual Unix filesystem operations.	2023-08-10 22:43:46 +02:00
Alexander Smorkalov	2311c14582	Fix v_pack_store alignment issue on Windows 32-bit.	2023-08-08 14:10:29 +03:00
Vadim Pisarevsky	518486ed3d	Added new data types to cv::Mat & UMat (#23865 ) * started working on adding 32u, 64u, 64s, bool and 16bf types to OpenCV * core & imgproc tests seem to pass * fixed a few compile errors and test failures on macOS x86 * hopefully fixed some compile problems and test failures * fixed some more warnings and test failures * trying to fix small deviations in perf_core & perf_imgproc by revering randf_64f to exact version used before * trying to fix behavior of the new OpenCV with old plugins; there is (quite strong) assumption that video capture would give us frames with depth == CV_8U (0) or CV_16U (2). If depth is > 7 then it means that the plugin is built with the old OpenCV. It needs to be recompiled, of course and then this hack can be removed. * try to repair the case when target arch does not have FP64 SIMD * 1. fixed bug in itoa() found by alalek 2. restored ==, !=, > and < univ. intrinsics on ARM32/ARM64.	2023-08-04 10:50:03 +03:00
cudawarped	bea0c1b660	cuda: Fix GpuMat::copyTo and GpuMat::converTo python bindings	2023-08-01 15:09:37 +03:00
Alexander Smorkalov	47188b7c7e	Merge branch 4.x	2023-07-28 13:05:36 +03:00
Alexander Smorkalov	b22c2505a8	Disable warning C5054 in VS 2022 C++20	2023-07-26 09:23:32 +03:00
Alexander Smorkalov	12acf5603a	Merge pull request #24001 from legrosbuffle:legrosbuffle-cvround-intrinsic Use intrinsics for `cvRound` on x86_64 `__GNUC__` (clang/gcc linux) too.	2023-07-23 09:53:18 +03:00
Clement Courbet	3cce299a78	Use intrinsics for `cvRound` on x86 and x86_64 `__GNUC__` (clang/gcc linux) too. We've measured a 7x improvement in speed for `cvRound` using the intrinsic.	2023-07-21 10:57:54 +03:00
Alexander Smorkalov	1f7025f028	Merge pull request #23920 from loongson-zn:4.x Fix LoongArch Macro Definition	2023-07-14 15:00:41 +03:00
Alexander Smorkalov	bd2695f01b	Merge pull request #23966 from hanliutong:popcount Add missing ”v_popcount“ for RVV and enable tests.	2023-07-13 12:22:46 +03:00
Alexander Smorkalov	cea26341a5	Merge branch 4.x	2023-07-13 09:28:36 +03:00
Liutong HAN	a00818047f	Add missing ”v_popcount“ for RVV and enable tests.	2023-07-11 16:10:27 +08:00
Alexander Smorkalov	5af40a0269	Merge branch 4.x	2023-07-05 15:51:10 +03:00
Zhang Na	10294a84fa	Fix LoongArch Macro Definition	2023-07-05 17:42:39 +08:00
Berke	71796edf95	removed trailing semicolon after function It gives error when building projects with -Wpedantic -Werror error: extra ‘;’ [-Werror=pedantic] Issue ##23916	2023-07-04 21:18:30 +03:00
Alexander Smorkalov	131dab774c	Merge branch 'release_4.8.0' into 4.x	2023-06-28 15:22:43 +03:00
Alexander Smorkalov	f9a59f2592	Release OpenCV 4.8.0	2023-06-28 14:53:33 +03:00
Alexander Smorkalov	bf06bc92aa	Merge branch '3.4' into merge-3.4	2023-06-23 20:12:58 +03:00
Dmitry Kurtaev	22b747eae2	Merge pull request #23702 from dkurt:py_rotated_rect Python binding for RotatedRect #23702 ### Pull Request Readiness Checklist related: https://github.com/opencv/opencv/issues/23546#issuecomment-1562894602 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-06-22 15:09:53 +03:00
Alexander Smorkalov	65b957a5b3	Merge pull request #23832 from asmorkalov:as/reshape_docs Document parameters of multi-dimentional reshape	2023-06-21 09:04:17 +03:00
Alexander Smorkalov	9eaa7bd566	Document parameters of multi-dimentional reshape.	2023-06-20 21:54:49 +03:00
Alexander Smorkalov	51702ffd92	pre: OpenCV 4.8.0 (version++)	2023-06-20 15:52:57 +03:00
Alexander Smorkalov	805946baaf	pre: OpenCV 3.4.20 (version++)	2023-06-20 14:10:08 +03:00
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	d24ffe9a65	Merge pull request #23705 from asmorkalov:as/cxx-named-arguments Re-implement named parameters bindings for Python #23705 Reverted named argument handling from #19156. Ported new solution from #23224 The port is required to harmonize 4.x -> 5.x merges. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake	2023-05-30 17:41:41 +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	f33598f55e	Merge branch 4.x	2023-01-28 17:31:32 +00:00
Alexander Alekhin	18cbfa4a4f	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-01-23 00:11:12 +00:00
Alexander Alekhin	a42d879925	Merge branch 4.x	2023-01-18 22:03:42 +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	593a376566	Merge branch 4.x	2023-01-09 11:08:02 +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
Maksim Shabunin	8a62b03761	Merge pull request #22754 from mshabunin:c-cleanup C-API cleanup for OpenCV 5.x (imgproc, highgui) * imgproc: C-API cleanup * imgproc: increase cvtColor test diff threshold * imgproc: C-API cleanup pt.2 * imgproc: C-API cleanup pt.3 * imgproc: C-API cleanup pt.4 * imgproc: C-API cleanup pt.5 * imgproc: C-API cleanup pt.5 * imgproc: C-API cleanup pt.6 * highgui: C-API cleanup * highgui: C-API cleanup pt.2 * highgui: C-API cleanup pt.3 * highgui: C-API cleanup pt.3 * imgproc: C-API cleanup pt.7 * fixup! highgui: C-API cleanup pt.3 * fixup! imgproc: C-API cleanup pt.6 * imgproc: C-API cleanup pt.8 * imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9 * fixup! imgproc: C-API cleanup pt.9	2022-12-14 18:57:08 +00:00
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	3857173845	Merge pull request #22287 from asenyaev:asen/disabled_compiling_warnings_5.x Disabled compiling warnings in case of symbols in cmake for 5.x	2022-09-20 16:19:08 +03:00
Alexander Smorkalov	bfeeb0ad70	Merge pull request #22285 from asenyaev:asen/disabled_compiling_warnings_3.4 Disabled compiling warnings in case of symbols in cmake for 3.4	2022-09-20 15:14:36 +03:00
Alexander Smorkalov	2273af0166	Merge pull request #22286 from asenyaev:asen/disabled_compiling_warnings_4.x Disabled compiling warnings in case of symbols in cmake for 4.x	2022-09-20 15:13:06 +03:00
Andrey Senyaev	752e5fdc26	Disabled compiling warnings in case of symbols in cmake for 5.x	2022-09-20 13:36:59 +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
Alexander Alekhin	c25f776151	Merge branch 4.x	2022-08-21 15:27:31 +00:00
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

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2574 Commits