napari-seedseg


Namenapari-seedseg JSON
Version 0.0.2 PyPI version JSON
download
home_pagehttps://github.com/rezaakb/napari-seedseg
SummaryA simple plugin for segmentation
upload_time2023-05-09 23:51:24
maintainer
docs_urlNone
authorReza Akbarian Bafghi
requires_python>=3.8
licenseBSD-3
keywords example project
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # napari-seedseg

[![License BSD-3](https://img.shields.io/pypi/l/napari-seedseg.svg?color=green)](https://github.com/rezaakb/napari-seedseg/tree/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-seedseg.svg?color=green)](https://pypi.org/project/napari-seedseg)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-seedseg.svg?color=green)](https://python.org)
[![tests](https://github.com/rezaakb/napari-seedseg/workflows/tests/badge.svg)](https://github.com/rezaakb/napari-seedseg/actions)
[![codecov](https://codecov.io/gh/rezaakb/napari-seedseg/branch/main/graph/badge.svg)](https://codecov.io/gh/rezaakb/napari-seedseg)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-seedseg)](https://napari-hub.org/plugins/napari-seedseg)

A simple plugin for 2D medical image segmentation. In this project, we are trying to use Flood method for segmentation. 
Flood segmentation, also known as flood fill or region growing, is an image segmentation technique that starts from a seed point and expands to neighboring pixels with similar properties (e.g., intensity, color). In our project, you only can segment one label at the time. Below is a description of the repository's structure and the purpose of each file:

    .
    ├── setup.cfg              # package metadata
    ├── pyproject.toml         # use setuptools
    ├── src/napari_seedseg     
    │   ├── napari.yaml        # Load and stress tests
    │   ├── __init.py__        # Python package metadata files
    │   ├── _widget.py         # Widget contributions
    │   ├── _layers.py         # Layers contributions
    │   └── _method.py         # Methods contributions
    └── ...

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

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

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

    pip install napari-seedseg



To install latest development version :

    pip install git+https://github.com/rezaakb/napari-seedseg.git


## Packages
In this project we have used these packages:

    numpy
    magicgui
    qtpy
    opencv-python-headless
    scikit-image>=0.19.3



## 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 [BSD-3] license,
"napari-seedseg" 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/rezaakb/napari-seedseg/issues

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

            

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    "description": "# napari-seedseg\n\n[![License BSD-3](https://img.shields.io/pypi/l/napari-seedseg.svg?color=green)](https://github.com/rezaakb/napari-seedseg/tree/main/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/napari-seedseg.svg?color=green)](https://pypi.org/project/napari-seedseg)\n[![Python Version](https://img.shields.io/pypi/pyversions/napari-seedseg.svg?color=green)](https://python.org)\n[![tests](https://github.com/rezaakb/napari-seedseg/workflows/tests/badge.svg)](https://github.com/rezaakb/napari-seedseg/actions)\n[![codecov](https://codecov.io/gh/rezaakb/napari-seedseg/branch/main/graph/badge.svg)](https://codecov.io/gh/rezaakb/napari-seedseg)\n[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-seedseg)](https://napari-hub.org/plugins/napari-seedseg)\n\nA simple plugin for 2D medical image segmentation. In this project, we are trying to use Flood method for segmentation. \nFlood segmentation, also known as flood fill or region growing, is an image segmentation technique that starts from a seed point and expands to neighboring pixels with similar properties (e.g., intensity, color). In our project, you only can segment one label at the time. Below is a description of the repository's structure and the purpose of each file:\n\n    .\n    \u251c\u2500\u2500 setup.cfg              # package metadata\n    \u251c\u2500\u2500 pyproject.toml         # use setuptools\n    \u251c\u2500\u2500 src/napari_seedseg     \n    \u2502   \u251c\u2500\u2500 napari.yaml        # Load and stress tests\n    \u2502   \u251c\u2500\u2500 __init.py__        # Python package metadata files\n    \u2502   \u251c\u2500\u2500 _widget.py         # Widget contributions\n    \u2502   \u251c\u2500\u2500 _layers.py         # Layers contributions\n    \u2502   \u2514\u2500\u2500 _method.py         # Methods contributions\n    \u2514\u2500\u2500 ...\n\n----------------------------------\n\nThis [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.\n\n<!--\nDon't miss the full getting started guide to set up your new package:\nhttps://github.com/napari/cookiecutter-napari-plugin#getting-started\n\nand review the napari docs for plugin developers:\nhttps://napari.org/stable/plugins/index.html\n-->\n\n## Installation\n\nYou can install `napari-seedseg` via [pip]:\n\n    pip install napari-seedseg\n\n\n\nTo install latest development version :\n\n    pip install git+https://github.com/rezaakb/napari-seedseg.git\n\n\n## Packages\nIn this project we have used these packages:\n\n    numpy\n    magicgui\n    qtpy\n    opencv-python-headless\n    scikit-image>=0.19.3\n\n\n\n## Contributing\n\nContributions are very welcome. Tests can be run with [tox], please ensure\nthe coverage at least stays the same before you submit a pull request.\n\n## License\n\nDistributed under the terms of the [BSD-3] license,\n\"napari-seedseg\" is free and open source software\n\n## Issues\n\nIf you encounter any problems, please [file an issue] along with a detailed description.\n\n[napari]: https://github.com/napari/napari\n[Cookiecutter]: https://github.com/audreyr/cookiecutter\n[@napari]: https://github.com/napari\n[MIT]: http://opensource.org/licenses/MIT\n[BSD-3]: http://opensource.org/licenses/BSD-3-Clause\n[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt\n[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt\n[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0\n[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt\n[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin\n\n[file an issue]: https://github.com/rezaakb/napari-seedseg/issues\n\n[napari]: https://github.com/napari/napari\n[tox]: https://tox.readthedocs.io/en/latest/\n[pip]: https://pypi.org/project/pip/\n[PyPI]: https://pypi.org/\n",
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