Deeplabcut

This is the python package of DeepLabCut. This package includes graphical user interfaces to label your data, and take you from data set creation to automatic behavioral analysis. It also introduces an active learning framework to efficiently use DeepLabCut on large experimental projects.

Code used in https://www.nature.com/articles/s41593-018-0209-y
Benchmarking and inference code update: https://www.biorxiv.org/content/early/2018/10/30/457242

Contains:

- updated documentation
- installation files
- frame selection tools
- training / test set generation code
- training & evaluation code
- faster code for analysis of videos

Link to the repo at that stage: https://github.com/AlexEMG/DeepLabCut/tree/1.11

Code used in https://www.nature.com/articles/s41593-018-0209-y

Contains:
- updated documentation
- installation files
- frame selection tools
- training / test set generation code
- training & evaluation code
- code for analysis of videos

Code used in https://www.nature.com/articles/s41593-018-0209-y
Benchmarking and inference code update: https://www.biorxiv.org/content/early/2018/10/30/457242

Contains:

- updated documentation
- installation files
- frame selection tools
- training / test set generation code
- training & evaluation code
- faster code for analysis of videos

Code used in https://www.nature.com/articles/s41593-018-0209-y

**Contains:**
- installation files
- frame selection tools
- training / test set generation code
- training & evaluation code
- code for analysis of videos

Code used in https://www.nature.com/articles/s41593-018-0209-y