Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
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Updated
Aug 14, 2024 - Python
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Various scripts to support deeplabcut and what to do afterwards!
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
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.
SDK for running DeepLabCut on a live video stream
Workshop material for using DeepLabCut
Docker container for running DeepLabCut 2.0, 2.1 (linux support only). Now, DLC main supports 2.2+
a module for kinematic analysis of deeplabcut outputs
a napari plugin for labeling and refining keypoint data within DeepLabCut projects
GUI to run DeepLabCut on live video feed
Headless DeepLabCut (no GUI support)
Closed-loop behavioral experiment toolkit using pose estimation of body parts.
Course materials for the Modern Methods for Quantifying Behavior Course!
We turn natural language descriptions of behaviors into machine-executable code
Utilities to convert DeepLabCut (DLC), output to/from Neurodata Without Borders (NWB) format.
[ICCV 2023] "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity"
Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics
replicAnt - generating annotated images of animals in complex environments with Unreal Engine
A Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives
DLClibrary is a lightweight library supporting universal functions for the DeepLabCut ecosystem.
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