Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

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.

A monocular 3D pose estimation algorithm for humans and other animals

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

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

GUI to run DeepLabCut on live video feed

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

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

Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics

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

Headless DeepLabCut (no GUI support)

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

DLC2Action is an action segmentation package that makes running and tracking of machine learning experiments easy.

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.

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.

Convert DeepLabCut to YOLO