{"id":29227002,"url":"https://github.com/hereariim/napari-pixel-correction","last_synced_at":"2026-04-27T01:31:35.798Z","repository":{"id":59148431,"uuid":"532919967","full_name":"hereariim/napari-pixel-correction","owner":"hereariim","description":"This directory contains the files that make up the napari-pixel-correction module. 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Below, a piece of an image shows the predicted pixels (in brown). A pixel in brown is assigned to the flower class. We can see that the brown colour does not necessarily cover a flower in this image.\n\n![Capture d’écran 2022-09-21 152404](https://user-images.githubusercontent.com/93375163/191530483-5ce230af-e34c-4fd5-ab91-1d611fd774d1.png)\n\n\u003c!--\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--\u003e\n\n## Installation\n\nYou can install `napari-pixel-correction` via [pip]:\n\n    pip install napari-pixel-correction\n\n\n\nTo install latest development version :\n\n    pip install git+https://github.com/hereariim/napari-pixel-correction.git\n\n## How does it work\n\nFirst, you need a compressed file (in .zip format) were you have all your images. For a compressed file named as `input.zip`, the compressed file should be built like :\n\n```\n.\n└── input.zip\n    └── repository\n        ├── image\n        │   ├── im_1.JPG\n        │   ├── im_2.JPG  \n        │   ├── im_3.JPG\n        │   ...\n        │   └── im_n.JPG\n        │\n        └── mask\n            ├── im_1_mask.JPG\n            ├── im_2_mask.JPG\n            ├── im_3_mask.JPG\n            ...\n            └── im_n_mask.JPG\n```\nIn repository, each image folder should have two elements : image in RGB and the segmented mask in binary image (where no-flower class is 0 and flower class is 255)\n\n![napari-tutorial_simple](https://user-images.githubusercontent.com/93375163/191527225-47ba8667-e3bd-467b-b5f3-f8f7d97617a5.gif)\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-pixel-correction\" 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/hereariim/napari-pixel-correction/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","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereariim%2Fnapari-pixel-correction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhereariim%2Fnapari-pixel-correction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereariim%2Fnapari-pixel-correction/lists"}