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.

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.

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.

Evaluation code for the horse-10 dataset!

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

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

This is a collabration of Pose-Estimation done on Deeplabcut for Gait Analysis of the Limb for computing joint angle used for Rehabilliation.

預測清萬隆的作息

BehavioralGPT

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.

Docker image to get DeepLabCutCore running on cloud GPUs.

A model and video dataset for pose estimation on poultry, a crucial data to have for an automated system that could classify the health state of poultry

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.