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.

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

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

🐕 Fun experiment to train a pose estimation model for dogs using the DeepLabCut toolkit

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

A Bonsai interface for real-time markerless pose estimation using DeepLabCut

PyRat is a user friendly library in python to analyze data from the DeepLabCut. Developed to help researchers unfamiliar with programming can perform animal behavior analysis more simpler.

DeepLabCut based data analysis package including pose estimation and representation learning mediated behavior recognition

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

A tool for drawing ROIs on videos and analysing deeplabcut videos.

Headless DeepLabCut (no GUI support)

Trained deep neural-net models for estimating articulatory keypoints from midsagittal ultrasound tongue videos and front-view lip camera videos using DeepLabCut. This research is by Wrench, A. and Balch-Tomes, J. (2022) (https://www.mdpi.com/1424-8220/22/3/1133) (https://doi.org/10.3390/s22031133).

A Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives

functions for for converting data from DeepLabCut formatting to DLTdv tools or Argus format

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

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

Pose estimation in animals using DeepLabCut

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