7c1ac157d5bc84fe79799611abf471cc67ff5fd5,ilastik/applets/featureSelection/featureSelectionGui.py,FeatureSelectionGui,getFeatureLayers,#FeatureSelectionGui#Any#Any#,129

Before Change

        
        Generate a list of layers for the feature image produced by the given slot.
        
        with Tracer(traceLogger):
            layers = []
            
            channelAxis = inputSlot.meta.axistags.channelIndex
            assert channelAxis == featureSlot.meta.axistags.channelIndex
            numInputChannels = inputSlot.shape[channelAxis]
            numFeatureChannels = featureSlot.shape[channelAxis]

            // Determine how many channels this feature has (up to 3)
            featureChannelsPerInputChannel = numFeatureChannels / numInputChannels
            assert 0 < featureChannelsPerInputChannel <= 3, "The feature selection Gui does not yet support features with more than three channels per input channel." 

            for inputChannel in range(numInputChannels):
                // Determine the name for this feature
                featureName = featureSlot.meta.description
                assert featureName is not None
                if 2 <= numInputChannels <= 3:
                    channelNames = ["R", "G", "B"]
                    featureName += " (" + channelNames[inputChannel] + ")"
                if numInputChannels > 3:
                    featureName += " (Ch. {})".format(inputChannel)

                opSubRegion = OpSubRegion(graph=self.mainOperator.graph)
                opSubRegion.Input.connect( featureSlot )
                start = [0] * len(featureSlot.meta.shape)
                start[channelAxis] = inputChannel * featureChannelsPerInputChannel
                stop = list(featureSlot.meta.shape)
                stop[channelAxis] = (inputChannel+1) * featureChannelsPerInputChannel
                opSubRegion.Start.setValue( tuple(start) )
                opSubRegion.Stop.setValue( tuple(stop) )
                
                featureLayer = self.createStandardLayerFromSlot( opSubRegion.Output )
                featureLayer.visible = False
                featureLayer.opacity = 1.0
                featureLayer.name = featureName
                
                layers.append(featureLayer)

            return layers

    def initFeatureDlg(self):
        
        Initialize the feature selection widget.
        

After Change

        
        layers = []
        
        channelAxis = inputSlot.meta.axistags.channelIndex
        assert channelAxis == featureSlot.meta.axistags.channelIndex
        numInputChannels = inputSlot.shape[channelAxis]
        numFeatureChannels = featureSlot.shape[channelAxis]

        // Determine how many channels this feature has (up to 3)
        featureChannelsPerInputChannel = numFeatureChannels / numInputChannels
        assert 0 < featureChannelsPerInputChannel <= 3, "The feature selection Gui does not yet support features with more than three channels per input channel." 

        for inputChannel in range(numInputChannels):
            // Determine the name for this feature
            featureName = featureSlot.meta.description
            assert featureName is not None
            if 2 <= numInputChannels <= 3:
                channelNames = ["R", "G", "B"]
                featureName += " (" + channelNames[inputChannel] + ")"
            if numInputChannels > 3:
                featureName += " (Ch. {})".format(inputChannel)

            opSubRegion = OpSubRegion(graph=self.mainOperator.graph)
            opSubRegion.Input.connect( featureSlot )
            start = [0] * len(featureSlot.meta.shape)
            start[channelAxis] = inputChannel * featureChannelsPerInputChannel
            stop = list(featureSlot.meta.shape)
            stop[channelAxis] = (inputChannel+1) * featureChannelsPerInputChannel
            opSubRegion.Start.setValue( tuple(start) )
            opSubRegion.Stop.setValue( tuple(stop) )
            
            featureLayer = self.createStandardLayerFromSlot( opSubRegion.Output )
            featureLayer.visible = False
            featureLayer.opacity = 1.0
            featureLayer.name = featureName
            
            layers.append(featureLayer)

        return layers

    @traceLogged(traceLogger)
    def initFeatureDlg(self):

Instances