{"name":"grabber-ift","display_name":"grabber-ift","visibility":"public","icon":"","categories":[],"schema_version":"0.2.0","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"grabber-ift.GrabberWidget","title":"GrabberWidget","python_name":"grabber.grabberwidget:GrabberWidget","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":null,"writers":null,"widgets":[{"command":"grabber-ift.GrabberWidget","display_name":"GrabberWidget","autogenerate":false}],"sample_data":null,"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.1","name":"grabber-ift","version":"0.2.2","dynamic":null,"platform":["UNKNOWN"],"supported_platform":null,"summary":"A tool for contour-based segmentation correction (2D only).","description":"# Grabber: A Tool to Improve Convergence in Interactive Image Segmentation\n\n[![License](https://img.shields.io/pypi/l/grabber.svg?color=green)](https://github.com/LIDS-UNICAMP/grabber/raw/master/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/grabber.svg?color=green)](https://pypi.org/project/grabber)\n[![Python Version](https://img.shields.io/pypi/pyversions/grabber.svg?color=green)](https://python.org)\n[![tests](https://github.com/LIDS-UNICAMP/grabber/workflows/tests/badge.svg)](https://github.com/LIDS-UNICAMP/grabber/actions)\n[![codecov](https://codecov.io/gh/LIDS-UNICAMP/grabber/branch/master/graph/badge.svg)](https://codecov.io/gh/LIDS-UNICAMP/grabber)\n\nA tool for contour-based segmentation correction (2D only).\n\nThis repository provides a demo code of the paper:\n> **Grabber: A Tool to Improve Convergence in Interactive Image Segmentation**\n> [Jordão Bragantini](https://jookuma.github.io/), Bruno Moura, [Alexandre X. Falcão](http://lids.ic.unicamp.br/), [Fábio A. M. Cappabianco](https://scholar.google.com/citations?user=qmH9VEEAAAAJ&hl=en&oi=ao)\n\nhttps://user-images.githubusercontent.com/21022743/145699960-57da06a5-668f-4e81-82b5-7f3d3ddf8ee3.mp4\n\n----------------------------------\n\nThis [napari] plugin was generated with [Cookiecutter] using with [@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/docs/plugins/index.html\n-->\n\n## Installation\n\nYou can install `grabber-ift` via [pip]:\n\n    pip install grabber-ift\n\n\n## Known Limitations\n\nThis implementation doesn't support the items below, feel free to open a PR to add them.\n\n- It only support 2D image, supporting 3D images isn't trivial, but it could be applied per slice with minor changes.\n\n## Citation\n\nIf this work was useful for your research, please cite our paper:\n\n```\n@article{bragantini2020grabber,\n  title={Grabber: A Tool to Improve Convergence in Interactive Image Segmentation,\n  author={Bragantini, Jord{\\~a}o and Bruno Moura, Falc{\\~a}o, Alexandre Xavier and Cappabianco, F{\\'a}bio AM,\n  journal={Pattern Recognition Letters},\n  year={2020}\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\"grabber\" 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\n\n","description_content_type":"text/markdown","keywords":null,"home_page":"UNKNOWN","download_url":null,"author":"Jordão Bragantini","author_email":"jordao.bragantini@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)","pyift (>=0.0.4)","opencv-python-headless (>=4.4.0)","scipy (>=1.7.2)"],"requires_python":">=3.7","requires_external":null,"project_url":null,"provides_extra":null,"provides_dist":null,"obsoletes_dist":null},"npe1_shim":true}