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animal-pose-estimation
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OpenMMLab Pose Estimation Toolbox and Benchmark.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
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
Towards Multi-Modal Animal Pose Estimation: An In-Depth Analysis
JARVIS Markerless 3D Motion Capture Pytorch Library
Synthetic animal image dataset for pose and shape reconstruction.
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
3D Markerless Tracking Toolbox
AcquisitionTool to record multi-camera recordings for the JARVIS 3D Markerless Pose Estimation Toolbox
Animal Body Condition Score (BCS) Classification using deep learning and traditional ML approaches. Classifies animals into weight categories (Underweight/Healthy/Overweight) based on body length measurements from AP-10K animal pose dataset keypoints.
Semi-supervised animal pose estimation technique that leverages spatiotemporal information from videos, resulting in fewer required training labels.
Using Machine Learning to predict the outcome of a reward competition from body parts' location in mouse behavioral data
Scripts and commands to run SLEAP for animal pose estimtion