{"name":"napari-ufish","display_name":"U-FISH","visibility":"public","icon":"","categories":[],"schema_version":"0.2.0","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"napari-ufish.make_sample_data","title":"Load sample data from U-FISH","python_name":"napari_ufish._sample_data:make_sample_data","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-ufish.make_inference_widget","title":"Inference","python_name":"napari_ufish._widget:InferenceWidget","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-ufish.make_train_widget","title":"Train","python_name":"napari_ufish._widget:TrainWidget","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":null,"writers":null,"widgets":[{"command":"napari-ufish.make_inference_widget","display_name":"U-FISH Inference","autogenerate":false},{"command":"napari-ufish.make_train_widget","display_name":"U-FISH Train","autogenerate":false}],"sample_data":[{"command":"napari-ufish.make_sample_data","key":"unique_id.1","display_name":"U-FISH"}],"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.1","name":"napari-ufish","version":"0.0.1","dynamic":null,"platform":null,"supported_platform":null,"summary":"Deep learning-based FISH spot calling method.","description":"# napari-ufish\n\n[![License MIT](https://img.shields.io/pypi/l/napari-ufish.svg?color=green)](https://github.com/UFISH-Team/napari-ufish/raw/main/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/napari-ufish.svg?color=green)](https://pypi.org/project/napari-ufish)\n[![Python Version](https://img.shields.io/pypi/pyversions/napari-ufish.svg?color=green)](https://python.org)\n[![tests](https://github.com/UFISH-Team/napari-ufish/workflows/tests/badge.svg)](https://github.com/UFISH-Team/napari-ufish/actions)\n[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-ufish)](https://napari-hub.org/plugins/napari-ufish)\n\nDeep learning-based FISH spot calling method.\nThe napari plugin for [U-FISH](https://github.com/UFISH-Team/U-FISH).\n\n## Links\n\n+ [U-FISH](https://github.com/UFISH-Team/U-FISH)\n+ [U-FISH models](https://huggingface.co/GangCaoLab/U-FISH)\n+ [FISH_spots dataset](https://huggingface.co/datasets/GangCaoLab/FISH_spots)\n\n## TODO List\n\n- [x] Sample image\n- [x] Inference interface\n    - [x] Inference parameters\n    - [x] Load model from path\n    - [x] Help information dialog\n- [x] Training interface\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-ufish` via [pip]:\n\n    pip install napari-ufish\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 [MIT] license,\n\"napari-ufish\" 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[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":null,"download_url":null,"author":"Weize Xu","author_email":"vet.xwz@gmail.com","maintainer":null,"maintainer_email":null,"license":"MIT","classifier":["Development Status :: 2 - Pre-Alpha","Framework :: napari","Intended Audience :: Developers","License :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3 :: Only","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Topic :: Scientific/Engineering :: Image Processing"],"requires_dist":["numpy","magicgui","qtpy","scikit-image","ufish","napari","tox ; extra == 'testing'","pytest ; extra == 'testing'","pytest-cov ; extra == 'testing'","pytest-qt ; extra == 'testing'","pyqt5 ; extra == 'testing'"],"requires_python":">=3.9","requires_external":null,"project_url":null,"provides_extra":["testing"],"provides_dist":null,"obsoletes_dist":null},"npe1_shim":false}