Metadata-Version: 2.4
Name: oneat
Version: 6.9.5
Summary: Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images
Home-page: https://github.com/Kapoorlabs-CAPED/caped-ai-oneat
Author: Varun Kapoor
Author-email: randomaccessiblekapoor@gmail.com
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/Kapoorlabs-CAPED/caped-ai-oneat/issues
Project-URL: Documentation, https://github.com/Kapoorlabs-CAPED/caped-ai-oneat#README.md
Project-URL: Source Code, https://github.com/Kapoorlabs-CAPED/caped-ai-oneat
Project-URL: User Support, https://github.com/Kapoorlabs-CAPED/caped-ai-oneat/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: vollseg-napari
Requires-Dist: scipy
Requires-Dist: tifffile
Requires-Dist: matplotlib
Requires-Dist: imagecodecs
Requires-Dist: scikit-learn
Requires-Dist: dask
Requires-Dist: natsort
Requires-Dist: napari-animation
Requires-Dist: pydot
Requires-Dist: graphviz
Requires-Dist: hydra-core
Requires-Dist: caped-ai-metrics
Requires-Dist: seaborn
Provides-Extra: testing
Requires-Dist: tox; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Dynamic: license-file

# Oneat

# Developed by KapoorLabs


<img src="images/mtrack.png" alt="Logo1" width="150"/>
<img src="images/kapoorlablogo.png" alt="Logo2" width="150"/>

This product is a testament to our expertise at KapoorLabs, where we specialize in creating cutting-edge solutions. We offer bespoke pipeline development services, transforming your developmental biology questions into publishable figures with our advanced computer vision and AI tools. Leverage our expertise and resources to achieve end-to-end solutions that make your research stand out.

**Note:** The tools and pipelines showcased here represent only a fraction of what we can achieve. For tailored and comprehensive solutions beyond what was done in the referenced publication, engage with us directly. Our team is ready to provide the expertise and custom development you need to take your research to the next level. Visit us at [KapoorLabs](https://www.kapoorlabs.org/).

[![License BSD-3](https://img.shields.io/pypi/l/oneat.svg?color=green)](https://github.com/Kapoorlabs-CAPED/caped-ai-oneat/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/oneat.svg?color=green)](https://pypi.org/project/oneat)
[![Python Version](https://img.shields.io/pypi/pyversions/oneat.svg?color=green)](https://python.org)
[![codecov](https://codecov.io/gh/Kapoorlabs-CAPED/oneat/branch/main/graph/badge.svg)](https://codecov.io/gh/Kapoorlabs-CAPED/caped-ai-oneat)


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:

<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/
