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

We turn natural language descriptions of behaviors into machine-executable code

SDK for running DeepLabCut on a live video stream

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.

[ICCV 2023] "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity"

GUI to run DeepLabCut on live video feed

a napari plugin for labeling and refining keypoint data within DeepLabCut projects

Closed-loop behavioral experiment toolkit using pose estimation of body parts.

replicAnt - generating annotated images of animals in complex environments with Unreal Engine

Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics

Headless DeepLabCut (no GUI support)

Deep learning-driven multi animal tracking and pose estimation add-on for Blender

An alpha playground for a web-based labeling tool for DLC

Simple vispy-based frame-by-frame behavior annotation GUI. Also can display DeepLabCut poses within videos during annotation.

Utilities to convert DeepLabCut (DLC), output to/from Neurodata Without Borders (NWB) format.

Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.

A python toolbox for locating and exporting brain regions from mouse brain images.

DLClibrary is a lightweight library supporting universal functions for the DeepLabCut ecosystem.

Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).