{"name":"napari-labelimg4classification","display_name":"napari-labelimg4classification","visibility":"public","icon":"","categories":[],"schema_version":"0.2.0","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"napari-labelimg4classification.L4CWidget","title":"L4CWidget","python_name":"napari_labelimg4classification._dock_widget:L4CWidget","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":null,"writers":null,"widgets":[{"command":"napari-labelimg4classification.L4CWidget","display_name":"L4CWidget","autogenerate":false}],"sample_data":null,"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.1","name":"napari-labelimg4classification","version":"0.1.1","dynamic":null,"platform":["UNKNOWN"],"supported_platform":null,"summary":"Image-Level labeling tool","description":"# napari-labelimg4classification\n\n[![License](https://img.shields.io/pypi/l/napari-labelimg4classification.svg?color=green)](https://github.com/hiroalchem/napari-labelimg4classification/raw/main/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/napari-labelimg4classification.svg?color=green)](https://pypi.org/project/napari-labelimg4classification)\n[![Python Version](https://img.shields.io/pypi/pyversions/napari-labelimg4classification.svg?color=green)](https://python.org)\n[![tests](https://github.com/hiroalchem/napari-labelimg4classification/workflows/tests/badge.svg)](https://github.com/hiroalchem/napari-labelimg4classification/actions)\n[![codecov](https://codecov.io/gh/hiroalchem/napari-labelimg4classification/branch/main/graph/badge.svg)](https://codecov.io/gh/hiroalchem/napari-labelimg4classification)\n[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-labelimg4classification)](https://napari-hub.org/plugins/napari-labelimg4classification)\n\nA simple image-level annotation tool supporting multi-channel images for napari.\n\n----------------------------------\n\nThis [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.\n\n## Usage\nStart the labeling tool from the menu `Utilities > label tool for classification`.   \nFirst, click on the Choose directory button to open the folder selection window, and select the folder that contains the\n images you want to label and annotate.   \nIt will automatically list and display the images of tif, png, jpg, and bmp formats.\nIf you want to view the channels of a multi-channel image separately, check the split channels checkbox.\n![](https://github.com/hiroalchem/napari-labelimg4classification/raw/main/docs/open.gif)\n\nInitially, all channels will be opened in grayscale, but the pseudo-color and contrast adjustments you specified will be\n carried over when you open the next image.   \nThanks to napari, you can freely merge channels and turn them on and off.   \nLabel classes can be added, and can be removed by typing the same name as an already added class.\n![](https://github.com/hiroalchem/napari-labelimg4classification/raw/main/docs/color_and_label.gif)\n\n\nIt will automatically save the labels.csv file with the image path and label, and the class.txt file with the class of the label.\n![](https://github.com/hiroalchem/napari-labelimg4classification/raw/main/docs/class_and_labels.png)\n\nIf labels.csv and class.txt are already in the folder, they will be loaded and reflected automatically.\n![](https://github.com/hiroalchem/napari-labelimg4classification/raw/main/docs/reopen.gif)\n\n## Installation\n\nYou can install `napari-labelimg4classification` via [pip]:\n\n    pip install napari-labelimg4classification\n\n\n\nTo install latest development version :\n\n    pip install git+https://github.com/hiroalchem/napari-labelimg4classification.git\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-labelimg4classification\" 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/hiroalchem/napari-labelimg4classification/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\n\n","description_content_type":"text/markdown","keywords":null,"home_page":"https://github.com/hiroalchem/napari-labelimg4classification","download_url":null,"author":"Hiroki Kawai","author_email":"h.kawai888@gmail.com","maintainer":null,"maintainer_email":null,"license":"MIT","classifier":["Development Status :: 2 - Pre-Alpha","Intended Audience :: Developers","Framework :: napari","Topic :: Software Development :: Testing","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3.7","Programming Language :: Python :: 3.8","Programming Language :: Python :: 3.9","Operating System :: OS Independent","License :: OSI Approved :: MIT License"],"requires_dist":["napari-plugin-engine (>=0.1.4)","napari","numpy","napari-tools-menu","pandas"],"requires_python":">=3.7","requires_external":null,"project_url":["Bug Tracker, https://github.com/hiroalchem/napari-labelimg4classification/issues","Documentation, https://github.com/hiroalchem/napari-labelimg4classification#README.md","Source Code, https://github.com/hiroalchem/napari-labelimg4classification","User Support, https://github.com/hiroalchem/napari-labelimg4classification/issues"],"provides_extra":null,"provides_dist":null,"obsoletes_dist":null},"npe1_shim":true}