Hi, I’ve been trying to comb through the source code to see if I could figure this out on my own, but I’m far from sure, so I’ll ask here instead:
In Qupath-0.2.0-m2, there is a new feature under Extensions -> AI -> Export training regions which makes it easier to create full image annotations for training neural networks to do segmentation tasks. This new menu option opens a dialog, where the user inputs a list of class labels in the format “class name: int”. My main question is, if an image is only partially annotated before starting the export, what color will then be used for the unannotated regions? Is it always black or is it always the first class in the list? maybe it is always the class with the lowest number or the class named Background? I can’t seem to figure it out. Nor can I figure out why each class label needs to have an associated integer.