support Nanotrack in video module#22808
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asmorkalov merged 8 commits intoopencv:4.xfrom Dec 6, 2022
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Hi @HonglinChu, Please review this patch. |
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The test approach looks great! Thanks.
asmorkalov
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Looks good to me. Please check the models url in extra. Some CI builders cannot download proper file. |
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Tested manually both C++ and Python version with ubuntu 18.04 and default OpenCV backend. Works great! |
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Passed all CI. |
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@alalek Could I merge the PR? |
alalek
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Dec 1, 2022
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@zihaomu There is still onnx hash mismatch in extra. Please update models information. |
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Thx for your reminder. This is a network issue for downloading model from github. I'm trying to fix it. |
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samples/python/tracker.py
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| [--dasiamrpn_backend DASIAMRPN_BACKEND] | ||
| [--dasiamrpn_target DASIAMRPN_TARGET] | ||
| [--nanotrack_backBone NANOTRACK_BACKEND] [--nanotrack_headNeck NANOTRACK_TARGET] | ||
| [--nanotrack_backone NANOTRACK_BACKEND] [--nanotrack_headneck NANOTRACK_TARGET] |
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nanotrack_backone
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[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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teset data in opencv_extra
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
Patch to opencv_extra has the same branch name.