{"name":"napari-pixel-correction","display_name":"Pixel correction","visibility":"public","icon":"","categories":[],"schema_version":"0.2.0","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"napari-pixel-correction.get_reader","title":"Open data with Pixel correction","python_name":"napari_pixel_correction._reader:napari_get_reader","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-pixel-correction.write_multiple","title":"Save multi-layer data with Pixel correction","python_name":"napari_pixel_correction._writer:write_multiple","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-pixel-correction.write_single_image","title":"Save image data with Pixel correction","python_name":"napari_pixel_correction._writer:write_single_image","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-pixel-correction.load","title":"Load image","python_name":"napari_pixel_correction._widget:process_function_load","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-pixel-correction.save_label","title":"Save label","python_name":"napari_pixel_correction._widget:save_modification","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-pixel-correction.save_as_zip","title":"Save zip","python_name":"napari_pixel_correction._widget:save_as_zip","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":[{"command":"napari-pixel-correction.get_reader","filename_patterns":["*.npy"],"accepts_directories":false}],"writers":[{"command":"napari-pixel-correction.write_multiple","layer_types":["image*","labels*"],"filename_extensions":[],"display_name":""},{"command":"napari-pixel-correction.write_single_image","layer_types":["image"],"filename_extensions":[".npy"],"display_name":""}],"widgets":[{"command":"napari-pixel-correction.load","display_name":"Load image","autogenerate":false},{"command":"napari-pixel-correction.save_label","display_name":"Save label","autogenerate":false},{"command":"napari-pixel-correction.save_as_zip","display_name":"Save zip","autogenerate":false}],"sample_data":null,"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.1","name":"napari-pixel-correction","version":"0.1.4","dynamic":null,"platform":null,"supported_platform":null,"summary":"Plugin to correct manually pixel wrongly predicted on image by annotation","description":"# napari-pixel-correction\n\n[![License BSD-3](https://img.shields.io/pypi/l/napari-pixel-correction.svg?color=green)](https://github.com/hereariim/napari-pixel-correction/raw/main/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/napari-pixel-correction.svg?color=green)](https://pypi.org/project/napari-pixel-correction)\n[![Python Version](https://img.shields.io/pypi/pyversions/napari-pixel-correction.svg?color=green)](https://python.org)\n[![tests](https://github.com/hereariim/napari-pixel-correction/workflows/tests/badge.svg)](https://github.com/hereariim/napari-pixel-correction/actions)\n[![codecov](https://codecov.io/gh/hereariim/napari-pixel-correction/branch/main/graph/badge.svg)](https://codecov.io/gh/hereariim/napari-pixel-correction)\n[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-pixel-correction)](https://napari-hub.org/plugins/napari-pixel-correction)\n\nPlugin to correct manually pixel wrongly predicted on image by annotation\n\n----------------------------------\n\nThis [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.\n\nThis plugin allows you to manually correct the images of the apple tree flowers by annotation. 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<!--\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-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","description_content_type":"text/markdown","keywords":null,"home_page":"https://github.com/hereariim/napari-pixel-correction","download_url":null,"author":"Herearii Metuarea","author_email":"herearii.metuarea@gmail.com","maintainer":null,"maintainer_email":null,"license":"BSD-3-Clause","classifier":["Development Status :: 2 - Pre-Alpha","Framework :: napari","Intended Audience :: Developers","License :: OSI Approved :: BSD License","Operating System :: OS Independent","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3 :: Only","Programming Language :: Python :: 3.8","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Topic :: Software Development :: Testing"],"requires_dist":["numpy","magicgui","qtpy","scikit-image","napari","matplotlib","tox ; extra == 'testing'","pytest ; extra == 'testing'","pytest-cov ; extra == 'testing'","pytest-qt ; extra == 'testing'","napari ; extra == 'testing'","pyqt5 ; extra == 'testing'"],"requires_python":">=3.8","requires_external":null,"project_url":["Bug Tracker, https://github.com/hereariim/napari-pixel-correction/issues","Documentation, https://github.com/hereariim/napari-pixel-correction#README.md","Source Code, https://github.com/hereariim/napari-pixel-correction","User Support, https://github.com/hereariim/napari-pixel-correction/issues"],"provides_extra":["testing"],"provides_dist":null,"obsoletes_dist":null},"npe1_shim":false}