Deeplabcut Python Packages

dlclibrary

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

deeplabcut

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

napari-deeplabcut

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

anipose

🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation

deeplabcut2yolo

Convert DeepLabCut to YOLO

amadeusgpt

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

deeplabcut-live

SDK for running DeepLabCut on a live video stream

deeplabcut-docker

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

dlc2nwb

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

ethome-ml

Tools for machine learning of animal behavior

dlc2kinematics

Library for kinematic analysis of DeepLabCut outputs

deeplabcut-live-gui

GUI to run DeepLabCut on live video feed

dlc-generic-analysis

A framework for creating analysis applications for DeepLabCut with a gui build in Qt.

dlc2action

DLC2Action is a deep learning based action segmentation toolbox. It is designed to work directly on top of markerless pose estimation softwares such as DeepLabCut. It allows to train and evaluate various state-of-the-art action segmentation models on your own data.

deeplabcut-webapp

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

deeplabcut-core

Headless DeepLabCut (no GUI support)

bsoid

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.