lambdaloop/anipose
lambdaloop/anipose has 474 GitHub stars and 81 forks. Star changes are not measured yet. Last checked 2026-11-14 08:15 UTC. Last push 2026-06-02.
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About
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
Machine LearningREADME.md
OriginalAnipose
Anipose is an open-source toolkit for robust, markerless 3D pose estimation of animal behavior from multiple camera views. It leverages the machine learning toolbox DeepLabCut to track keypoints in 2D, then triangulates across camera views to estimate 3D pose.
Check out the Anipose paper for more information.
The name Anipose comes from Animal Pose, but it also sounds like "any pose".
Documentation
Up to date documentation may be found at anipose.org .
Demos
Videos of flies by Evyn Dickinson (slowed 5x), Tuthill Lab
Videos of hand by Katie Rupp
References
Here are some references for DeepLabCut and other things this project relies upon:
- Mathis et al, 2018, "DeepLabCut: markerless pose estimation of user-defined body parts with deep learning"
- Romero-Ramirez et al, 2018, "Speeded up detection of squared fiducial markers"
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