The feature visualization plugin is now available here.
The feature classifier plugin is now available here.
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:
Feature visualization
Calculation of scikit-image regionprops
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.
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
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.
Distributed under the terms of the BSD-3 license, "napari-feature-visualization" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.
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