cookiecutter template for DeepLabCut project
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Updated
Nov 19, 2019 - Dockerfile
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.
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.
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
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.
Python based spatial navigation data pipeline built on Jupyter Notebooks.
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.
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.
BehavioralGPT
Codes for the final project of the subject Computational Biophysics of the degree Engineering Physics (UPC). By Marta Alcalde i Núria Mercadé.
Collection of code to analyze behavioral data after deeplabcut prediction of mouse selected body parts.
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
Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).
DLClibrary is a lightweight library supporting universal functions for the DeepLabCut ecosystem.
Add a description, image, and links to the deeplabcut topic page so that developers can more easily learn about it.
To associate your repository with the deeplabcut topic, visit your repo's landing page and select "manage topics."