Welcome to the DeepLabCut Organization! đ
đââď¸ DeepLabCut⢠is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks.
- The main code repository is here. Contains code for all necessary steps to do pose estimation incl. GUI.
- đŠâđť Read the documentation for how to get started and how to use DeepLabCut.
We also have several related code repositories that may be of interest:
- DLC-Live! & DLC-Live! GUI -- export your trained DeepLabCut model and run it for live analysis. Consider using our easy GUI to do so.
- DLCUtils -- this repo hosts some code and key links to helper packages that input the outputs of DeepLabCut for downstream analysis.
- DLC Workshop & Educational Materials -- learn about how to use and develop with DeepLabCut!
- DLC2Kinematics -- use this code to load DeepLabCut (H5) files for movement analysis, dev. by MW Mathis Lab.
- DLC2Action -- for action segmentation based on pose estimation data, dev. by A Mathis Group.
- CEBRA -- use this code to load DeepLabCut (H5) files for advnced nonlinear embedding analysis and joint modeling, dev. by MW Mathis Lab.
đ Contribution guidelines to this project can be found here!
đż Find more resources, our papers, and examples on the main website!
đ§ Check out the repos below to find helper code, additional tools, and more!