oneat 6.9.9
Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images
License: BSD-3-Clause
Requires Python: >=3.8

# Oneat

# Developed by KapoorLabs


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

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

<img src="images/modified_densenet.png" alt="Architecture" width="3500"/>


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.

[pip]: https://pypi.org/project/pip/
[caped]: https://github.com/Kapoorlabs-CAPED
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@caped]: https://github.com/Kapoorlabs-CAPED
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[cookiecutter-template]: https://github.com/Kapoorlabs-CAPED/cookiecutter-template

[file an issue]: https://github.com/Kapoorlabs-CAPED/caped-ai-oneat/issues

[tox]: https://tox.readthedocs.io/en/latest/