jluethi / napari-feature-visualization

Visualizing feature measurements on label images in napari
BSD 3-Clause "New" or "Revised" License
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This is an archive

The feature visualization plugin is now available here.
The feature classifier plugin is now available here.




License PyPI Python Version tests codecov

Napari plugin to visualize feature measurements on label images
The napari classifier plugin that started as part of this repository has been polished & is now published here: Github, napari hub


This plugin currently contains two widgets:

  1. Feature visualization
    napari_plugin_on_actual_data_small napari-feature-viz

  2. Calculation of scikit-image regionprops a15ba3b2f55de8679b91bda4f41a2b7b80691292_2_690x390

Features calculated with the regionprops widget can be saved to csv and visualized using the feature_vis widget.


This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.

Installation

This plugin is not available via pipy yet. So far, git clone it and pip install it using:

    cd napari-feature-visualization
    pip install .

For full functionality, recent bug-fixes in magicgui are required that have not been released via pipy yet. To get the pre-release version, install them directly:

pip install git+https://github.com/napari/magicgui.git

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "napari-feature-visualization" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Contributors

Feature visualization widget: Joel Lüthi
Classifier widgets: Joel Lüthi & Max Hess
Regionprops widget: Robert Haase

And support by people from the napari & iamge.sc community like Nicholas Sofroniew, Juan Nunez Iglesias, Draga Doncila Pop, Talley Lambert and many more