[HAL] split8u RVV 1.0 #26884
### Pull Request Readiness Checklist
* Banana Pi BF3 (SpacemiT K1)
* Compiler: Syntacore Clang 18.1.4 (build 2024.12)
```
Geometric mean (ms)
Name of Test baseline hal hal
ui vs
baseline
ui
(x-factor)
split::Size_Depth_Channels::(127x61, 8UC1, 2) 0.012 0.004 3.12
split::Size_Depth_Channels::(127x61, 8UC1, 3) 0.019 0.006 2.91
split::Size_Depth_Channels::(127x61, 8UC1, 4) 0.028 0.011 2.64
split::Size_Depth_Channels::(127x61, 8UC1, 5) 0.067 0.033 2.02
split::Size_Depth_Channels::(127x61, 8UC1, 6) 0.084 0.040 2.11
split::Size_Depth_Channels::(127x61, 8UC1, 7) 0.103 0.055 1.88
split::Size_Depth_Channels::(127x61, 8UC1, 8) 0.113 0.032 3.50
split::Size_Depth_Channels::(640x480, 8UC1, 2) 0.454 0.179 2.54
split::Size_Depth_Channels::(640x480, 8UC1, 3) 0.677 0.298 2.27
split::Size_Depth_Channels::(640x480, 8UC1, 4) 0.901 0.410 2.20
split::Size_Depth_Channels::(640x480, 8UC1, 5) 3.781 3.010 1.26
split::Size_Depth_Channels::(640x480, 8UC1, 6) 4.886 4.009 1.22
split::Size_Depth_Channels::(640x480, 8UC1, 7) 5.777 4.770 1.21
split::Size_Depth_Channels::(640x480, 8UC1, 8) 4.596 1.330 3.46
split::Size_Depth_Channels::(1280x720, 8UC1, 2) 1.377 0.709 1.94
split::Size_Depth_Channels::(1280x720, 8UC1, 3) 2.091 1.034 2.02
split::Size_Depth_Channels::(1280x720, 8UC1, 4) 2.744 1.573 1.74
split::Size_Depth_Channels::(1280x720, 8UC1, 5) 9.542 6.284 1.52
split::Size_Depth_Channels::(1280x720, 8UC1, 6) 11.114 7.850 1.42
split::Size_Depth_Channels::(1280x720, 8UC1, 7) 14.083 11.879 1.19
split::Size_Depth_Channels::(1280x720, 8UC1, 8) 13.524 3.865 3.50
split::Size_Depth_Channels::(1920x1080, 8UC1, 2) 3.108 1.395 2.23
split::Size_Depth_Channels::(1920x1080, 8UC1, 3) 4.659 2.128 2.19
split::Size_Depth_Channels::(1920x1080, 8UC1, 4) 6.127 2.818 2.17
split::Size_Depth_Channels::(1920x1080, 8UC1, 5) 26.733 16.625 1.61
split::Size_Depth_Channels::(1920x1080, 8UC1, 6) 31.242 22.414 1.39
split::Size_Depth_Channels::(1920x1080, 8UC1, 7) 35.968 27.658 1.30
split::Size_Depth_Channels::(1920x1080, 8UC1, 8) 29.997 8.655 3.47
```
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
- [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.
- [x] The feature is well documented and sample code can be built with the project CMake
Add RISC-V HAL implementation for cv::norm and cv::normalize #26804
This patch implements `cv::norm` with norm types `NORM_INF/NORM_L1/NORM_L2/NORM_L2SQR` and `Mat::convertTo` function in RVV_HAL using native intrinsic, optimizing the performance for `cv::norm(src)`, `cv::norm(src1, src2)`, and `cv::normalize(src)` with data types `8UC1/8UC4/32FC1`.
`cv::normalize` also calls `minMaxIdx`, #26789 implements RVV_HAL for this.
Tested on MUSE-PI for both gcc 14.2 and clang 20.0.
```
$ opencv_test_core --gtest_filter="*Norm*"
$ opencv_perf_core --gtest_filter="*norm*" --perf_min_samples=300 --perf_force_samples=300
```
The head of the perf table is shown below since the table is too long.
View the full perf table here: [hal_rvv_norm.pdf](https://github.com/user-attachments/files/18468255/hal_rvv_norm.pdf)
<img width="1304" alt="Untitled" src="https://github.com/user-attachments/assets/3550b671-6d96-4db3-8b5b-d4cb241da650" />
### 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
- [ ] There is a reference to the original bug report and related work
- [ ] 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
Add RISC-V HAL implementation for minMaxIdx #26789
On the RISC-V platform, `minMaxIdx` cannot benefit from Universal Intrinsics because the UI-optimized `minMaxIdx` only supports `CV_SIMD128` (and does not accept `CV_SIMD_SCALABLE` for RVV).
1d701d1690/modules/core/src/minmax.cpp (L209-L214)
This patch implements `minMaxIdx` function in RVV_HAL using native intrinsic, optimizing the performance for all data types with one channel.
Tested on MUSE-PI for both gcc 14.2 and clang 20.0.
```
$ opencv_test_core --gtest_filter="*MinMaxLoc*"
$ opencv_perf_core --gtest_filter="*minMaxLoc*"
```
<img width="1122" alt="Untitled" src="https://github.com/user-attachments/assets/6a246852-87af-42c5-a50b-c349c2765f3f" />
### 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
- [ ] There is a reference to the original bug report and related work
- [ ] 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
Add RISC-V HAL implementation for meanStdDev #26624
`meanStdDev` benefits from the Universal Intrinsic backend of RVV, but we also found that the performance on the `8UC4` type is worse than the scalar version when there is a mask, and there is no optimization implementation on `32FC1`.
This patch implements `meanStdDev` function in RVV_HAL using native intrinsic, significantly optimizing the performance for `8UC1`, `8UC4` and `32FC1`.
This patch is tested on BPI-F3 for both gcc 14.2 and clang 19.1.
```
$ opencv_test_core --gtest_filter="*MeanStdDev*"
$ opencv_perf_core --gtest_filter="Size_MatType_meanStdDev*
```
### 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
- [ ] There is a reference to the original bug report and related work
- [ ] 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
