Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).
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Updated
Jul 4, 2020 - Python
Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).
cookiecutter template for DeepLabCut project
In this repository we store and share scripts, data, training models, etc used for tracking or evaluating behavioural videos via DLC, SIMBA and other potential ML tools.
Collection of code to analyze behavioral data after deeplabcut prediction of mouse selected body parts.
DeepLabCut velocity and distance
This repository contains notebooks and resources for the workshop taking place in March 2024 at the Leibniz Institute for Neurobiology in Magdeburg.
Este proyecto tiene como objetivo realizar seguimieto de pose mediante DeepLabCut, así como un subproyecto para el seguimiento en tiempo real de DeepLabCut-Live y DeepLabCut-Live GU para ArduinoI. El modelo fue entrenado con ResNet50 en DeepLabCut.
Edit DeepLabCut labels from HDF files. Save edited files in both HDF and MATLAB file formats.
Evaluation code for the horse-10 dataset!
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
A framework for creating analysis applications for DeepLabCut with a gui build in Qt.
Docker image to get DeepLabCutCore running on cloud GPUs.
This is a collabration of Pose-Estimation done on Deeplabcut for Gait Analysis of the Limb for computing joint angle used for Rehabilliation.
PoseModel: An Open-Source Toolkit for Accurate and Robust Automated Behavioral Latent Embedding
[Cell 2024]: Code for Task-driven neural network models predict neural dynamics of proprioception by Marin Vargas* and Bisi* et al.
I created this notebook to help me with behavioral neuroscience experiments. It calculates the average positions and velocities of two body parts (for better accuracy), and creates visualizations such as GIFs and streamline plots to represent the motion and flow of movement.
Inofficial docker images for DeepLabCut (experimental)
Codes for the final project of the subject Computational Biophysics of the degree Engineering Physics (UPC). By Marta Alcalde i Núria Mercadé.
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