Metadata-Version: 2.1
Name: napari-activelearning
Version: 0.0.5
Summary: An active learning plugin for fine tuning of deep learning models.
Author: Fernando Cervantes (The Jackson Laboratory)
Author-email: fernando.cervantes@jax.org
License: MIT License
        
        Copyright (c) 2024 The Jackson Laboratory
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/TheJacksonLaboratory/activelearning
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Framework :: napari
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT 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 :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: napari
Requires-Dist: numpy
Requires-Dist: dask[array]
Requires-Dist: magicgui
Requires-Dist: qtpy
Requires-Dist: scikit-image
Requires-Dist: tensorstore==0.1.59
Requires-Dist: ome-zarr==0.9.0
Requires-Dist: zarr
Requires-Dist: zarrdataset>=0.2.0
Provides-Extra: cellpose
Requires-Dist: cellpose<=3.0.10,>=3.0.0; extra == "cellpose"
Provides-Extra: testing
Requires-Dist: tox; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Requires-Dist: pytest-qt; extra == "testing"
Requires-Dist: napari; extra == "testing"
Requires-Dist: pyqt5; extra == "testing"

# Active Learning tools for ML models fine-tuning
Active learning tools for fine-tuning ML models

[![License MIT](https://img.shields.io/pypi/l/napari-activelearning.svg?color=green)](https://github.com/TheJacksonLaboratory/activelearning/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-activelearning.svg?color=green)](https://pypi.org/project/napari-activelearning)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-activelearning.svg?color=green)](https://python.org)
[![tests](https://github.com/TheJacksonLaboratory/activelearning/workflows/tests/badge.svg)](https://github.com/TheJacksonLaboratory/activelearning/actions)
[![codecov](https://codecov.io/gh/TheJacksonLaboratory/activelearning/branch/main/graph/badge.svg)](https://codecov.io/gh/TheJacksonLaboratory/napari-activelearning)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-activelearning)](https://napari-hub.org/plugins/napari-activelearning)

A plugin for running a complete active learning workflow

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This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.

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Don't miss the full getting started guide to set up your new package:
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and review the napari docs for plugin developers:
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## Installation

You can install `napari-activelearning` via [pip]:

    pip install napari-activelearning




## 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.

## License

Distributed under the terms of the [MIT] license,
"napari-activelearning" is free and open source software

## Issues

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

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin

[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
