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Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images

Project description

Oneat

Developed by KapoorLabs

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License BSD-3 PyPI Python Version codecov

Action classification for TZYX shaped images, Static classification for TYX shaped images


Oneat architecture for TZYX shaped volumetric timelapse for action classification across N classes:

Architecture

This caped package was generated with Cookiecutter using @caped's cookiecutter-template template.

Installation

You can install oneat via pip:

pip install oneat

To install latest development version :

pip install git+https://github.com/Kapoorlabs-CAPED/caped-ai-oneat.git

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

Computational Support

This work was granted access to the HPC resources of IDRIS under the allocation 2022 - [AD011013695], 2023 - [AD011013695R1], 2024 - [AD011013695R2] made by GENCI for training the models for action classification in 3D + time datasets.

License

Distributed under the terms of the BSD-3 license, "oneat" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

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