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
* core: rework and optimize SIMD implementation of dotProd
- add new universal intrinsics v_dotprod[int32], v_dotprod_expand[u&int8, u&int16, int32], v_cvt_f64(int64)
- add a boolean param for all v_dotprod&_expand intrinsics that change the behavior of addition order between
pairs in some platforms in order to reach the maximum optimization when the sum among all lanes is what only matters
- fix clang build on ppc64le
- support wide universal intrinsics for dotProd_32s
- remove raw SIMD and activate universal intrinsics for dotProd_8
- implement SIMD optimization for dotProd_s16&u16
- extend performance test data types of dotprod
- fix GCC VSX workaround of vec_mule and vec_mulo (in little-endian it must be swapped)
- optimize v_mul_expand(int32) on VSX
* core: remove boolean param from v_dotprod&_expand and implement v_dotprod_fast&v_dotprod_expand_fast
this changes made depend on "terfendail" review
- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
Andrei Fedorov
Sayed Adel
Alexander Alekhin
Anna Kogan
OpenCV Buildbot
Andrey Kamaev