DeepLabCut-core 
Core functionalities of DeepLabCut, excluding all GUI functions.
Currently up to date with DeepLabCut v2.1.8.1. AND uses tensorflow 2.X
Please be aware, you can create projects, etc. with the full deeplabcut package. Here, you will need to create the training set and train, evaluate, etc. not inter-mixing with using the deeplabcut package (it currently supports tensorflow 1.x). We recommend looking at this google colab notebook to help you, and this blog post about our transitition to tensorflow 2.
Install from GitHub:
pip install git+https://github.com/DeepLabCut/DeepLabCut-core
PyPi:
pip install deeplabcutcore
Documentation is located at DeepLabCut's main GitHub page.
1 maintainer
Metadata
1 maintainer
Release files for deeplabcutcore 0.1
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Total release size: 301.1 kB
Release files / deeplabcutcore-0.1.tar.gz
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