Visualizing feature measurements on label images in napari
![feature_vis_demo](https://private-user-images.githubusercontent.com/18033446/352249504-d2c83d70-d122-4e08-812f-12c5e6006488.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.f0jefPomjySuFFndRpSBYalSNrLwSudm2rG_Gu7He3I)
Supports both loading features from a CSV file or visualizing features saved in the label_layer.features dataframe. Through plugins like the napari OME-Zarr navigator, this enables visualizing feature measurements stored in OME-Zarrs.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
You can install napari-feature-visualization
via pip:
pip install napari-feature-visualization
To install latest development version :
pip install git+https://github.com/fractal-napari-plugins-collection/napari-feature-visualization.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.