Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
SimBA (Simple Behavioral Analysis): a pipeline and GUI for developing supervised behavioral classifiers from any major pose-estimation tool
SDK for running DeepLabCut on a live video stream
We turn natural language descriptions of behaviors into machine-executable code
A monocular 3D pose estimation algorithm for humans and other animals
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
Various scripts to support deeplabcut and what to do afterwards!
a module for kinematic analysis of deeplabcut outputs
Workshop material for using DeepLabCut
[ICCV 2023] Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
GUI to run DeepLabCut on live video feed
replicAnt - generating annotated images of animals in complex environments with Unreal Engine
Closed-loop behavioral experiment toolkit using pose estimation of body parts.
a napari plugin for labeling and refining keypoint data within DeepLabCut projects
A Bonsai interface for real-time markerless pose estimation using DeepLabCut
Docker container for running DeepLabCut 2.0, 2.1 (linux support only). Now, DLC main supports 2.2+
Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics
Deep learning-driven multi animal tracking and pose estimation add-on for Blender
Autonomous, modular Multi-Agent Operating System built in Python with a Human-In-The-Loop Telegram Command Center.
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