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[WIP] Multiclass Support #7
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metrics.py, models and utils/plot_info.py were changed to work with more than one class (multiclass). ToDo: - fix metrics to work with multiclass (Konrad) - make number of classes flexible (based on mask) (Aleks)
The user can now see the percentage of specific classes (features) which appear in the data. ToDo: Right now hard coded class names in prepare_data.py. Next step: read feature labels from config.
Added config option to prepare_data.py to get the labels from config.yml. Changed variable names from classes and labels to "features" to make it (hopefully) less confusing. Added two asserts regarding problems that might appear.
- Added and already tested three warnings. - config works now with a dictionary instead of array. example: data_classes: {0 : "background", 1 : "slope", 2 : "lake", 3 : "class3", 7 : "class7", 8 : "class8"}
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This PR consists of Aleks' works on multiclass segmentation.
It should be ready to merge once we're in a place where recalculating everything is viable.