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opencv/3rdparty/carotene
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Alexander Smorkalov a6ec12f58b
Merge pull request #26163 from asmorkalov:as/HAL_schaar_deriv 
HAL interface for Sharr derivatives needed for Lukas-Kanade algorithm #26163

### 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
2024-09-23 08:44:22 +03:00
..
hal Merge pull request #26163 from asmorkalov:as/HAL_schaar_deriv 2024-09-23 08:44:22 +03:00
include/carotene Merge pull request #26143 from asmorkalov:as/HAL_opticalFlowLK 2024-09-16 17:07:06 +03:00
src Merge pull request #26143 from asmorkalov:as/HAL_opticalFlowLK 2024-09-16 17:07:06 +03:00
.gitignore Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms 2016-07-04 23:56:15 -07:00
CMakeLists.txt Got rid of CAROTENE_NEON_ARCH and use standard __ARM_ARCH check. 2024-08-30 12:09:04 +03:00
README.md Add Carotene - NVIDIA Hardware-Abstraction-Layer for ARM platforms 2016-07-04 23:56:15 -07:00

README.md

This is Carotene, a low-level library containing optimized CPU routines that are useful for computer vision algorithms.