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@zihaomu zihaomu commented Nov 15, 2022

Related PR: opencv/opencv#22808

@asmorkalov asmorkalov merged commit 531785f into opencv:4.x Dec 6, 2022
@alalek alalek mentioned this pull request Jan 8, 2023
a-sajjad72 pushed a commit to a-sajjad72/opencv that referenced this pull request Mar 30, 2023
[teset data in opencv_extra](opencv/opencv_extra#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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3 participants