Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
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Updated
May 23, 2024 - Python
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
OpenMMLab Pose Estimation Toolbox and Benchmark.
A deep learning framework for multi-animal pose tracking.
a toolkit for pose estimation using deep learning
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
DeepGraphPose
JARVIS Markerless 3D Motion Capture Pytorch Library
AcquisitionTool to record multi-camera recordings for the JARVIS 3D Markerless Pose Estimation Toolbox
Semi-supervised animal pose estimation technique that leverages spatiotemporal information from videos, resulting in fewer required training labels.
3D Markerless Tracking Toolbox
Scripts and commands to run SLEAP for animal pose estimtion
The official repo for the extension of [NeurIPS'22] "APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking": https://github.com/pandorgan/APT-36K
Using Machine Learning to predict the outcome of a reward competition from body parts' location in mouse behavioral data
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