napari-tomodl


Namenapari-tomodl JSON
Version 0.0.9 PyPI version JSON
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home_page
SummaryA plugin for optical projection tomography reconstruction with model-based neural networks.
upload_time2023-03-20 21:47:49
maintainer
docs_urlNone
authorMarcos Antonio Obando
requires_python<=3.8.13
licenseMIT
keywords
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bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # napari-tomodl

[![License MIT](https://img.shields.io/pypi/l/napari-tomodl.svg?color=green)](https://github.com/marcoso96/napari-tomodl/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-tomodl.svg?color=green)](https://pypi.org/project/napari-tomodl)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-tomodl.svg?color=green)](https://python.org)
[![tests](https://github.com/marcoso96/napari-tomodl/workflows/tests/badge.svg)](https://github.com/marcoso96/napari-tomodl/actions)
[![codecov](https://codecov.io/gh/marcoso96/napari-tomodl/branch/main/graph/badge.svg)](https://codecov.io/gh/marcoso96/napari-tomodl)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-tomodl)](https://napari-hub.org/plugins/napari-tomodl)

A plugin for optical projection tomography reconstruction with model-based neural networks.

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

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

<!--
Don't miss the full getting started guide to set up your new package:
https://github.com/napari/cookiecutter-napari-plugin#getting-started

and review the napari docs for plugin developers:
https://napari.org/stable/plugins/index.html
-->

## Installation

This package requires [torch-radon] for optimized GPU tomographic reconstruction:

    pip install 'torch-radon @ https://rosh-public.s3-eu-west-1.amazonaws.com/radon-v2/cuda-11.1/torch-1.8/torch_radon-2.0.0-cp38-cp38-linux_x86_64.whl'

and `PyTorch == 1.8.0` via wheel, whica can be downloaded and installed with: 

    pip install 'torch @ https://download.pytorch.org/whl/cu111/torch-1.8.0%%2Bcu111-cp38-cp38-linux_x86_64.whl'

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

    pip install napari-tomodl




## 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-tomodl" 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
[torch-radon]: https://github.com/matteo-ronchetti/torch-radon
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/

            

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