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Andrei Fedorov
96ec0c97df
Extend core performance tests - #29922 Added more cases for performance tests. It's a part of a bigger PR https://github.com/opencv/opencv/pull/29631 execution time increased by <18% per my measurements. Duplication of https://github.com/opencv/opencv/pull/29900, but from a different fork. `opencv_extra` PR is https://github.com/opencv/opencv_extra/pull/1410 Following was added: | File | Test | Added | |------|------|-------| | `perf_arithm.cpp` | `BinaryOpTest.*` (add/subtract/multiply/absdiff/min/max/transpose2d) | types `CV_16UC1`, `CV_64FC1` | | `perf_compare.cpp` | `compareScalar` | types `CV_16UC1`, `CV_16SC1` | | `perf_dot.cpp` | `dot` | type `CV_64FC1` | | `perf_flip.cpp` | `flip` (`FLIP_TYPES`) | types `CV_32FC3`, `CV_32FC4` | | `perf_mat.cpp` | `Mat_CopyToWithMask` | types `CV_32FC3` | | `perf_mat.cpp` | `Mat_SetToWithMask` | types `CV_8UC3, CV_8UC4, CV_16UC3, CV_16UC4, CV_32FC3, CV_32FC4` | | `perf_norm.cpp` | `norm` | norm type `NORM_L2SQR` | | `perf_norm.cpp` | `norm_mask` | types `CV_8UC3`, `CV_16UC3`, `CV_32FC3`; norm type `NORM_L2SQR` | | `perf_norm.cpp` | `norm2` | norm types `NORM_L2SQR`, `NORM_RELATIVE+NORM_L2SQR` | | `perf_norm.cpp` | `norm2_mask` | types `CV_8UC3`, `CV_16UC3`, `CV_32FC3`; norm types `NORM_L2SQR`, `NORM_RELATIVE\|NORM_L2SQR` | | `perf_sort.cpp` | `sort`, `sorIdx` (`TYPICAL_MAT_TYPES_SORT`) | types `CV_16SC1`, `CV_32SC1`, `CV_64FC1` | | `perf_stat.cpp` | `sum`, `mean` | types widened `{8UC1,8UC4,32FC1}` → `8U/16U/16S/32F × C1/C3/C4` | | `perf_stat.cpp` | `mean_mask`, `meanStdDev`, `meanStdDev_mask` | types widened `{8UC1,8UC4,32FC1}` → `8U/16U/32F × C1/C3/C4` | ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [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
32 lines
757 B
C++
32 lines
757 B
C++
#include "perf_precomp.hpp"
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namespace opencv_test
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{
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using namespace perf;
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typedef tuple<MatType, int> MatType_Length_t;
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typedef TestBaseWithParam<MatType_Length_t> MatType_Length;
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PERF_TEST_P( MatType_Length, dot,
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testing::Combine(
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testing::Values( CV_8UC1, CV_8SC1, CV_16SC1, CV_16UC1, CV_32SC1, CV_32FC1, CV_64FC1 ),
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testing::Values( 32, 64, 128, 256, 512, 1024 )
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))
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{
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int type = get<0>(GetParam());
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int size = get<1>(GetParam());
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Mat a(size, size, type);
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Mat b(size, size, type);
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declare.in(a, b, WARMUP_RNG);
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declare.time(100);
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double product;
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TEST_CYCLE_N(1000) product = a.dot(b);
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SANITY_CHECK(product, 1e-6, ERROR_RELATIVE);
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}
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} // namespace
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