DeepLabCut/benchmark

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Created about 3 years ago
Updated 9 months ago

DeepLabCut/benchmark

DeepLabCut

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DeepLabCut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

DeepLabCut-live

SDK for running DeepLabCut on a live video stream

DeepLabCut-Workshop-Materials

Workshop material for using DeepLabCut

Jupyter Notebook

DLCutils

Various scripts to support deeplabcut and what to do afterwards!

Jupyter Notebook

DeepLabCut-live-GUI

GUI to run DeepLabCut on live video feed

Docker4DeepLabCut2.0

Docker container for running DeepLabCut 2.0, 2.1 (linux support only). Now, DLC main supports 2.2+

Jupyter Notebook

napari-deeplabcut

a napari plugin for labeling and refining keypoint data within DeepLabCut projects

DeepLabCut-core

Headless DeepLabCut (no GUI support)

Primer-MotionCapture

A Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives

Jupyter Notebook

maDLC_NatureMethods2022

Repository for reproducing results in Lauer et al. 2022

Jupyter Notebook

DeepLabCut-WebApp

An alpha playground for a web-based labeling tool for DLC

napari-DLCLabelingAlpha

DLC2NWB

Utilities to convert DeepLabCut (DLC), output to/from Neurodata Without Borders (NWB) format.

DeepLabCut-live-pytorch

[WIP] Brand new DLC-live introduced with DLC3. All inference and training code in PyTorch.

DLClibrary

DLClibrary is a lightweight library supporting universal functions for the DeepLabCut ecosystem.

DLC-inferencespeed-benchmark

A database of inference speed benchmark results on various platforms and architectures

DeepLabCut_maDLC_DemoData

Example DeepLabCut projects

Jupyter Notebook