https://github.com/alexrockhill/anipose
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
Science Score: 23.0%
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Low similarity (6.1%) to scientific vocabulary
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🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
Basic Info
- Host: GitHub
- Owner: alexrockhill
- License: bsd-2-clause
- Default Branch: master
- Homepage: http://anipose.org
- Size: 120 MB
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- Stars: 0
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- Forks: 0
- Open Issues: 0
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Fork of lambdaloop/anipose
Created almost 6 years ago
· Last pushed over 5 years ago
https://github.com/alexrockhill/anipose/blob/master/
# Anipose [](https://badge.fury.io/py/anipose) 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](https://github.com/AlexEMG/DeepLabCut) to track keypoints in 2D, then triangulates across camera views to estimate 3D pose. Check out the [Anipose preprint](https://www.biorxiv.org/content/10.1101/2020.05.26.117325v1) for more information. The name Anipose comes from **Ani**mal **Pose**, but it also sounds like "any pose". ## Documentation Up to date documentation may be found at [anipose.org](http://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"
Owner
- Name: Alex Rockhill
- Login: alexrockhill
- Kind: user
- Location: Eugene, OR
- Company: University of Oregon
- Twitter: alex_p_rockhill
- Repositories: 7
- Profile: https://github.com/alexrockhill
Graduate Student in the Swann Lab