github.com/alan-turing-institute/scivision @0.24

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<h2>A Toolkit for Scientific Image Analysis</h2>







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The scivision project aims to connect computer vision model developers to image data providers from diverse scientific fields.

It's core features are:

1. The scivision catalog, containing pretrained computer vision models and datasets from science and the humanities
2. The scivision model and datasource API, a simple, standard interface to models and data that works with the entries in the catalog

The Scivision documentation is hosted on Read the Docs (including maintainer documentation). Start with the User Guide for an introduction to using Scivision.

You can also see an interactive demonstration of Scivision right now in your browser, no installation required:

Browse through a gallery of notebooks (runnable interactively with Binder) from research projects using Scivision at the Scivision Gallery.

Scivision development happens in the Scivision GitHub repo.

🐨 Installation

1. Install scivision via PyPi: which tends to be the most user-friendly option:

   bash pip install scivision

2. Install scivision from the source code:

   • Clone scivision source code:

   bash git clone https://github.com/alan-turing-institute/scivision.git

   • Install scivision and its dependencies:

   bash cd /path/to/my/scivision pip install -v -e .

🤔 Contributing

See the Contributing Guide on readthedocs, which contains information on how to set up and contribute computer vision models and scientific image datasets to the scivision catalog, and make them available via the scivision python API, as well as modify the source code.

You may consider starting or joining in with a discussion, or opening an issue in this GitHub repo.