5c5fb43a37fe6ff9cbbc74838db9197c2b9facbe,ilastik/applets/pixelClassification/pixelClassificationSerializer.py,PixelClassificationSerializer,_deserializeFromHdf5,#PixelClassificationSerializer#Any#Any#Any#Any#,44

Before Change

            // How many labels are there?
            max_label = 0
            for op in self.operator.opLabelPipeline:
                max_label = max(max_label, op.opLabelArray.maxLabel.value)
            
            label_names = []
            for i in range(max_label):
                label_names.append( "Label {}".format( i+1 ) )

After Change

            // For each image
            all_labels = set()
            for image_index, group in enumerate(topGroup["LabelSets"].values()):
                // For each label block
                for block in group.values():
                    data = block[:]
                    all_labels.update( numpy.unique(data) )

            max_label = max(all_labels)
            
            label_names = []
            for i in range(max_label):

Instances