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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
170 lines
4.5 KiB
C++
170 lines
4.5 KiB
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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PERF_TEST_P(Size_MatType, Mat_Eye,
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(TYPICAL_MAT_TYPES))
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)
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{
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Size size = get<0>(GetParam());
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int type = get<1>(GetParam());
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Mat diagonalMatrix(size.height, size.width, type);
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declare.out(diagonalMatrix);
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int runs = (size.width <= 640) ? 15 : 5;
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TEST_CYCLE_MULTIRUN(runs)
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{
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diagonalMatrix = Mat::eye(size, type);
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}
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SANITY_CHECK(diagonalMatrix, 1);
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}
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PERF_TEST_P(Size_MatType, Mat_Zeros,
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(TYPICAL_MAT_TYPES, CV_32FC3))
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)
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{
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Size size = get<0>(GetParam());
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int type = get<1>(GetParam());
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Mat zeroMatrix(size.height, size.width, type);
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declare.out(zeroMatrix);
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int runs = (size.width <= 640) ? 15 : 5;
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TEST_CYCLE_MULTIRUN(runs)
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{
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zeroMatrix = Mat::zeros(size, type);
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}
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SANITY_CHECK(zeroMatrix, 1);
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}
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PERF_TEST_P(Size_MatType, Mat_Clone,
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(TYPICAL_MAT_TYPES))
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)
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{
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Size size = get<0>(GetParam());
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int type = get<1>(GetParam());
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Mat source(size.height, size.width, type);
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Mat destination(size.height, size.width, type);
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declare.in(source, WARMUP_RNG).out(destination);
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TEST_CYCLE()
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{
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Mat tmp = source.clone();
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CV_UNUSED(tmp);
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}
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destination = source.clone();
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SANITY_CHECK(destination, 1);
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}
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PERF_TEST_P(Size_MatType, Mat_Clone_Roi,
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(TYPICAL_MAT_TYPES))
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)
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{
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Size size = get<0>(GetParam());
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int type = get<1>(GetParam());
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unsigned int width = size.width;
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unsigned int height = size.height;
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Mat source(height, width, type);
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Mat destination(size.height/2, size.width/2, type);
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declare.in(source, WARMUP_RNG).out(destination);
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Mat roi(source, Rect(width/4, height/4, 3*width/4, 3*height/4));
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TEST_CYCLE()
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{
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Mat tmp = roi.clone();
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CV_UNUSED(tmp);
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}
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destination = roi.clone();
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SANITY_CHECK(destination, 1);
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}
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PERF_TEST_P(Size_MatType, Mat_CopyToWithMask,
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testing::Combine(testing::Values(::perf::sz1080p, ::perf::szODD),
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testing::Values(CV_8UC1, CV_8UC2, CV_8UC3, CV_16UC1, CV_16UC3, CV_32SC1, CV_32SC2, CV_32FC3, CV_32FC4))
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)
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{
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const Size_MatType_t params = GetParam();
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const Size size = get<0>(params);
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const int type = get<1>(params);
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Mat src(size, type), dst(size, type), mask(size, CV_8UC1);
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declare.in(src, mask, WARMUP_RNG).out(dst);
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TEST_CYCLE()
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{
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src.copyTo(dst, mask);
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}
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SANITY_CHECK(dst);
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}
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PERF_TEST_P(Size_MatType, Mat_SetToWithMask,
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(CV_8UC1, CV_8UC2, CV_8UC3, CV_8UC4, CV_16UC3, CV_16UC4, CV_32FC3, CV_32FC4))
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)
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{
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const Size_MatType_t params = GetParam();
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const Size size = get<0>(params);
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const int type = get<1>(params);
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const Scalar sc = Scalar::all(27);
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Mat src(size, type), mask(size, CV_8UC1);
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declare.in(src, mask, WARMUP_RNG).out(src);
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TEST_CYCLE()
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{
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src.setTo(sc, mask);
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}
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SANITY_CHECK(src);
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}
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///////////// Transform ////////////////////////
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PERF_TEST_P(Size_MatType, Mat_Transform,
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testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(CV_8UC3, CV_8SC3, CV_16UC3, CV_16SC3, CV_32SC3, CV_32FC3, CV_64FC3))
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)
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize0 = get<0>(params);
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const Size srcSize = Size(1, srcSize0.width*srcSize0.height);
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const int type = get<1>(params);
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const float transform[] = { 0.5f, 0.f, 0.86602540378f, 128,
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0.f, 1.f, 0.f, -64,
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0.86602540378f, 0.f, 0.5f, 32,};
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Mat mtx(Size(4, 3), CV_32FC1, (void*)transform);
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Mat src(srcSize, type), dst(srcSize, type);
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randu(src, 0, 30);
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declare.in(src).out(dst);
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TEST_CYCLE()
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{
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cv::transform(src, dst, mtx);
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}
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SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
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}
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} // namespace
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