Designed to making setting up a markerless pose estimation of user-defined features with deep learning for all animals, including humans
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Updated
Jul 19, 2019 - Python
Designed to making setting up a markerless pose estimation of user-defined features with deep learning for all animals, including humans
Function for converting DLTdv tracking files into labeled training data for DeepLabCut pose estimation package
cookiecutter template for DeepLabCut project
Dockerfile for DeepLabCut 2.0 (https://github.com/AlexEMG/DeepLabCut)
An alpha playground for a web-based labeling tool for DLC
Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).
Edit DeepLabCut labels from HDF files. Save edited files in both HDF and MATLAB file formats.
This is a collabration of Pose-Estimation done on Deeplabcut for Gait Analysis of the Limb for computing joint angle used for Rehabilliation.
Headless DeepLabCut (no GUI support)
A Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives
Inofficial docker images for DeepLabCut (experimental)
Docker container for running DeepLabCut 2.0, 2.1 (linux support only). Now, DLC main supports 2.2+
Codes for the final project of the subject Computational Biophysics of the degree Engineering Physics (UPC). By Marta Alcalde i Núria Mercadé.
Python based spatial navigation data pipeline built on Jupyter Notebooks.
Collection of code to analyze behavioral data after deeplabcut prediction of mouse selected body parts.
A framework for creating analysis applications for DeepLabCut with a gui build in Qt.
GUI to run DeepLabCut on live video feed
Utilities to convert DeepLabCut (DLC), output to/from Neurodata Without Borders (NWB) format.
DeepLabCut velocity and distance
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