{"name":"w-seg-napari","display_name":"Plant segmentation","visibility":"public","icon":null,"categories":["Annotation","Segmentation","Acquisition"],"schema_version":"0.3.0","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"w-seg-napari.w_seg_master_widget","title":"W-Seg: Segmentation tool","python_name":"w_seg_napari._widget:w_seg_master_widget","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"w-seg-napari.get_reader","title":"Open data with Plant segmentation","python_name":"w_seg_napari._reader:napari_get_reader","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"w-seg-napari.write_multiple","title":"Save multi-layer data with Plant segmentation","python_name":"w_seg_napari._writer:write_multiple","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"w-seg-napari.write_single_image","title":"Save image data with Plant segmentation","python_name":"w_seg_napari._writer:write_single_image","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"w-seg-napari.make_sample_data","title":"Load sample data from Plant segmentation","python_name":"w_seg_napari._sample_data:make_sample_data","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":[{"command":"w-seg-napari.get_reader","filename_patterns":["*.npy"],"accepts_directories":false}],"writers":[{"command":"w-seg-napari.write_multiple","layer_types":["image*","labels*"],"filename_extensions":[".tif",".tiff"],"display_name":""},{"command":"w-seg-napari.write_single_image","layer_types":["image","labels"],"filename_extensions":[".tif",".tiff"],"display_name":""}],"widgets":[{"command":"w-seg-napari.w_seg_master_widget","display_name":"W-Seg: Pipeline","autogenerate":false}],"sample_data":[{"command":"w-seg-napari.make_sample_data","key":"unique_id.1","display_name":"Plant segmentation"}],"themes":null,"menus":{},"submenus":null,"keybindings":null,"configurations":{}},"package_metadata":{"metadata_version":"2.4","name":"w-seg-napari","version":"0.3.13","dynamic":["license-file"],"platform":null,"supported_platform":null,"summary":"Segmentation tool for plant tissue plastic sections stained with toluidine blue","description":"# w-seg\n[![npe2](https://img.shields.io/badge/plugin-npe2-blue?link=https://napari.org/stable/plugins/index.html)](https://napari.org/stable/plugins/index.html)\n[![Copier](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-purple.json)](https://github.com/copier-org/copier)\n\nA simple tool for RGB image segmentation\n\n----------------------------------\n\n## Installation\n\nYou can install `w-seg-napari` via [pip]:\n\n```bash\npip install w-seg-napari\n```\n\nIf napari is not already installed, you can install `w-seg` with napari and Qt via:\n\n```bash\npip install \"w-seg-napari[all]\"\n```\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 [MIT] license,\n\"w-seg\" 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","description_content_type":"text/markdown","keywords":null,"home_page":null,"download_url":null,"author":"Leo Vainio","author_email":"leo.vainio@helsinki.fi","maintainer":null,"maintainer_email":null,"license":null,"classifier":["Development Status :: 2 - Pre-Alpha","Framework :: napari","Intended Audience :: Developers","Operating System :: OS Independent","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3 :: Only","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: 3.14","Topic :: Scientific/Engineering :: Image Processing"],"requires_dist":["napari","numpy","magicgui","qtpy","keras>=3.0.0","torch","scikit-image","pillow","torchvision","python-elf","kornia","pandas","shapely","h5py","tifffile","napari[all]; extra == \"all\""],"requires_python":">=3.10","requires_external":null,"project_url":null,"provides_extra":["all"],"provides_dist":null,"obsoletes_dist":null},"npe1_shim":false}