cb8f1dca3b
[teset data in opencv_extra](https://github.com/opencv/opencv_extra/pull/1016) NanoTrack is an extremely lightweight and fast object-tracking model. The total size is **1.1 MB**. And the FPS on M1 chip is **150**, on Raspberry Pi 4 is about **30**. (Float32 CPU only) With this model, many users can run object tracking on the edge device. The author of NanoTrack is @HonglinChu. The original repo is https://github.com/HonglinChu/NanoTrack. ### 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 - [ ] 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 |
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| .. | ||
| ocl | ||
| test_accum.cpp | ||
| test_camshift.cpp | ||
| test_ecc.cpp | ||
| test_estimaterigid.cpp | ||
| test_kalman.cpp | ||
| test_main.cpp | ||
| test_OF_accuracy.cpp | ||
| test_OF_reproducibility.cpp | ||
| test_optflowpyrlk.cpp | ||
| test_precomp.hpp | ||
| test_trackers.cpp | ||
| test_trackers.impl.hpp | ||