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opencv/modules/core/perf/perf_mat.cpp
T
Andrei Fedorov 96ec0c97df Merge pull request #29922 from andreyfe1:extend_perf_core
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
2026-09-15 08:47:00 +03:00

170 lines
4.5 KiB
C++

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