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Constantin Aronssohn

# napari-deepfinder

[![License GNU GPL v3.0](https://img.shields.io/pypi/l/napari-deepfinder.svg?color=green)](https://github.com/deep-finder/napari-deepfinder/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-deepfinder.svg?color=green)](https://pypi.org/project/napari-deepfinder)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-deepfinder.svg?color=green)](https://python.org)
[![tests](https://github.com/deep-finder/napari-deepfinder/workflows/tests/badge.svg)](https://github.com/deep-finder/napari-deepfinder/actions)
[![codecov](https://codecov.io/gh/deep-finder/napari-deepfinder/branch/main/graph/badge.svg)](https://codecov.io/gh/deep-finder/napari-deepfinder)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-deepfinder)](https://napari-hub.org/plugins/napari-deepfinder)

A napari plugin for the DeepFinder library which includes display, annotation, target generation, segmentation and clustering functionalities.
An orthoslice view has been added for an easier visualisation and annotation process.

**The documentation for users is available [here](https://deep-finder.github.io/napari-deepfinder/).**

----------------------------------

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



## Installation

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

    pip install napari-deepfinder



To install latest development version :

    pip install git+https://github.com/deep-finder/napari-deepfinder.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.

## License

Distributed under the terms of the [GNU GPL v3.0] license,
"napari-deepfinder" 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

[file an issue]: https://github.com/deep-finder/napari-deepfinder/issues

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

napari-deepfinder






A napari plugin for the DeepFinder library which includes display, annotation, target generation, segmentation and clustering functionalities.
An orthoslice view has been added for an easier visualisation and annotation process.
The documentation for users is available here.

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

Installation
You can install napari-deepfinder via pip:
pip install napari-deepfinder

To install latest development version :
pip install git+https://github.com/deep-finder/napari-deepfinder.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.
License
Distributed under the terms of the GNU GPL v3.0 license,
"napari-deepfinder" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.

napari-deepfinder

A napari plugin for the DeepFinder library which includes display, annotation, target generation, segmentation and clustering functionalities. An orthoslice view has been added for an easier visualisation and annotation process.

Napari DeepFinder

A napari plugin for the DeepFinder library which includes display, annotation, target generation, segmentation and clustering functionalities. An orthoslice view has been added for an easier visualisation and annotation process.

Installation¶

Contributing¶

License¶

Issues¶