mirrors/opencv
2
0 Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-10-04 04:03:29 +03:00
Code Issues Packages Projects Releases Wiki Activity
35,060 Commits 6 Branches 132 Tags
eefa327f30cc51372599d7afad4224d44cede71a
Commit Graph
3 Commits
Author SHA1 Message Date
Yuantao Feng eefa327f30 Merge pull request #27042 from fengyuentau:4x/core/normDiff_simd 
core: vectorize normDiff with universal intrinsics #27042

Merge with https://github.com/opencv/opencv_extra/pull/1242.

Performance results on Desktop Intel i7-12700K, Apple M2, Jetson Orin and SpaceMIT K1:

[perf-normDiff.zip](https://github.com/user-attachments/files/19178689/perf-normDiff.zip)


### 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
- [ ] 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
 2025-03-12 16:43:10 +03:00
GenshinImpactStartsandLiutong HAN 33d632f85e impl hal_rvv norm_hamming 
Co-authored-by: Liutong HAN <liutong2020@iscas.ac.cn>
 2025-02-25 02:31:02 +00:00
Yuantao Feng e2803bee5c Merge pull request #26885 from fengyuentau:4x/core/normalize_simd 
core: vectorize cv::normalize / cv::norm #26885

Checklist:
|      | normInf | normL1 | normL2 |
| ---- | ------- | ------ | ------ |
| bool |    -    |   -    |   -    |
| 8u   |    √    |   √    |   √    |
| 8s   |    √    |   √    |   √    |
| 16u  |    √    |   √    |   √    |
| 16s  |    √    |   √    |   √    |
| 16f  |    -    |   -    |   -    |
| 16bf |    -    |   -    |   -    |
| 32u  |    -    |   -    |   -    |
| 32s  |    √    |   √    |   √    |
| 32f  |    √    |   √    |   √    |
| 64u  |    -    |   -    |   -    |
| 64s  |    -    |   -    |   -    |
| 64f  |    √    |   √    |   √    |

*: Vectorization of data type bool, 16f, 16bf, 32u, 64u and 64s needs to be done on 5.x.

### 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
- [ ] 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
 2025-02-21 13:49:11 +03:00