- Adds a new scikit-learn >= 1.2.2 dependency to solve https://github.com/fractal-napari-plugins-collection/napari-feature-classifier/issues/27 - Improve & test code path when features come without a roi_id column https://github.com/fractal-napari-plugins-collection/napari-feature-classifier/issues/28
0.1.0
Major refactor of the classifier: - New & cleaner implementation of the whole workflow - Classifier has improved performance of showing annotations - Classifier now reads features from layer.features: - Compatible with napari workflow outputs - Still supports features from CSV files via a CSV loader - Compatible with OME-Zarr-based images & measurements (using ROI loading plugin)
0.0.3
Fixing dependency issues that lead to napari crashing upon initialization of the annotator (see https://github.com/fractal-napari-plugins-collection/napari-feature-classifier/issues/24 )
0.0.2
Refactored the annotation workflow to be separate from the classifier
The new annotator can be used standalone The annotator uses the layer.features table to store annotations The new annotator is not yet integrated into the classifier workflow
0.0.1
Initial release of the napari-feature-classifier plugin
- Users can create interactive classifiers, add annotations within napari and interactively train it - Supports multiple images used for training the classifier - Contains export functionality of both user annotations and classifier predictions