{"name":"napari-imagegrains","display_name":"ImageGrains","visibility":"public","icon":"","categories":["Annotation","Segmentation","Acquisition"],"schema_version":"0.2.1","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"napari-imagegrains.make_proc_qwidget","title":"Make ImageGrain Processing Widget","python_name":"napari_imagegrains:ImageGrainProcWidget","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-imagegrains.make_stats_qwidget","title":"Make ImageGrain Stats Widget","python_name":"napari_imagegrains:ImageGrainStatsWidget","short_title":null,"category":null,"icon":null,"enablement":null},{"id":"napari-imagegrains.make_demo_qwidget","title":"Make ImageGrain Demo Widget","python_name":"napari_imagegrains:ImageGrainDemoWidget","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":null,"writers":null,"widgets":[{"command":"napari-imagegrains.make_proc_qwidget","display_name":"ImageGrain Processing Widget","autogenerate":false},{"command":"napari-imagegrains.make_stats_qwidget","display_name":"ImageGrain Stats Widget","autogenerate":false},{"command":"napari-imagegrains.make_demo_qwidget","display_name":"ImageGrain Demo Widget","autogenerate":false}],"sample_data":null,"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.4","name":"napari-imagegrains","version":"1.0.0","dynamic":["license-file"],"platform":null,"supported_platform":null,"summary":"An interactive napari plugin for the ImageGrains software.","description":"# napari-imagegrains\n\n[![License BSD-3](https://img.shields.io/pypi/l/napari-imagegrains.svg?color=green)](https://github.com/guiwitz/napari-imagegrains/raw/main/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/napari-imagegrains.svg?color=green)](https://pypi.org/project/napari-imagegrains)\n[![Python Version](https://img.shields.io/pypi/pyversions/napari-imagegrains.svg?color=green)](https://python.org)\n[![tests](https://github.com/guiwitz/napari-imagegrains/workflows/tests/badge.svg)](https://github.com/guiwitz/napari-imagegrains/actions)\n[![codecov](https://codecov.io/gh/guiwitz/napari-imagegrains/branch/main/graph/badge.svg)](https://codecov.io/gh/guiwitz/napari-imagegrains)\n[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-imagegrains)](https://napari-hub.org/plugins/napari-imagegrains)\n\nAn interactive napari plugin for the [ImageGrains](https://github.com/dmair1989/imagegrains) software.\n\n----------------------------------\n\n## Installation\n\nWe recommend to install the plugin in an isolated environment as provided by conda. For conda create an appropriate environment with (do not use Python more recent than 3.11):\n\n    conda create -n napari-imagegrains -c conda-forge python=3.11 napari pyqt\n    conda activate napari-imagegrains\n    pip install napari-imagegrains\n\n\nTo install latest development version :\n\n    pip install git+https://github.com/guiwitz/napari-imagegrains.git\n\nOr if you want to contribute to the plugin, fork the repository, clone it locally and install it in editable mode:\n\n    pip install -e .\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 [BSD-3] license,\n\"napari-imagegrains\" 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## Authors\n\nThe original software ImageGrain was developed by David Mair, Institute of Geological Sciences, University of Bern. The current plugin, a user-interface for the ImageGrains software, was developed by Guillaume Witz and Michael Horn, Data Science Lab, University of Bern in collaboration with David Mair.\n\n## Citation\n\nIf you use this software, please cite the following publication: Mair, D., Witz, G., Do Prado, A.H., Garefalakis, P. & Schlunegger, F. (2023) Automated detecting, segmenting and measuring of grains in images of fluvial sediments: The potential for large and precise data from specialist deep learning models and transfer learning. Earth Surface Processes and Landforms, 1–18. <https://doi.org/10.1002/esp.5755>.\n\n\n[napari]: https://github.com/napari/napari\n[copier]: https://copier.readthedocs.io/en/stable/\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[napari-plugin-template]: https://github.com/napari/napari-plugin-template\n\n[file an issue]: https://github.com/guiwitz/napari-imagegrains/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":null,"download_url":null,"author":null,"author_email":"Guillaume Witz <guillaume.witz@unibe.ch>, Michael Horn <michael.horn@unibe.ch>","maintainer":null,"maintainer_email":null,"license":"Copyright (c) 2025,  University of Bern, Data Science Lab & Institute of Geological Sciences, Guillaume Witz, Michael Horn and David Mair.\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\n\n* Neither the name of copyright holder nor the names of its\n  contributors may be used to endorse or promote products derived from\n  this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n","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 :: 3.9","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Topic :: Scientific/Engineering :: Image Processing"],"requires_dist":["numpy<=2.2","magicgui","qtpy","superqt","napari_matplotlib","scikit-image","seaborn","pandas","imagegrains>=1.2.0","tox; extra == \"testing\"","pytest; extra == \"testing\"","pytest-cov; extra == \"testing\"","pytest-qt; extra == \"testing\"","pyqt5; extra == \"testing\"","napari; extra == \"testing\"","nbformat; extra == \"testing\"","nbconvert; extra == \"testing\""],"requires_python":">=3.9","requires_external":null,"project_url":["Bug Tracker, https://github.com/guiwitz/napari-imagegrains/issues","Documentation, https://github.com/guiwitz/napari-imagegrains#README.md","Source Code, https://github.com/guiwitz/napari-imagegrains","User Support, https://github.com/guiwitz/napari-imagegrains/issues"],"provides_extra":["testing"],"provides_dist":null,"obsoletes_dist":null},"npe1_shim":false}