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Cell shape analysis using convolutional neural networks

Project description

Code style: black Cellshape logo by Matt De Vries


Cellshape-voxel is an easy-to-use tool to analyse the shapes of cells using deep learning and, in particular, 3D convolutional neural networks. The tool provides the ability to train 3D convolutional autoencoders on 3D single cell masks as well as providing pre-trained networks for inference.

To install

pip install cellshape-voxel

For developers

  • Fork the repository
  • Clone your fork
git clone https://github.com/USERNAME/cellshape-voxel 
  • Install an editable version (-e) with the development requirements (dev)
cd cellshape-voxel
pip install -e .[dev] 
  • To install pre-commit hooks to ensure formatting is correct:
pre-commit install
  • To release a new version:

Firstly, update the version with bump2version (bump2version patch, bump2version minor or bump2version major). This will increment the package version (to a release candidate - e.g. 0.0.1rc0) and tag the commit. Push this tag to GitHub to run the deployment workflow:

git push --follow-tags

Once the release candidate has been tested, the release version can be created with:

bump2version release

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