ceb5457679e3bfa0bc62bab4716bc6b2a7b9db89,ilastik/applets/thresholdTwoLevels/opThresholdTwoLevels.py,OpAnisotropicGaussianSmoothing,propagateDirty,#OpAnisotropicGaussianSmoothing#Any#Any#Any#,91

Before Change

    def propagateDirty(self, slot, subindex, roi):
        // Halo calculation is bidirectional, so we can re-use the function that computes the halo during execute()
        inputRoi, _ = self._getInputComputeRois(roi)
        self.Output.setDirty( inputRoi[0], inputRoi[1] )

class OpSelectLabels(Operator):
    
    Given two label images, produce a copy of BigLabels, EXCEPT first remove all labels 

After Change

        return inputRoi, computeRoi
        
    def propagateDirty(self, slot, subindex, roi):
        if slot == self.Input:
            // Halo calculation is bidirectional, so we can re-use the function that computes the halo during execute()
            inputRoi, _ = self._getInputComputeRois(roi)
            self.Output.setDirty( inputRoi[0], inputRoi[1] )
        elif slot == self.Sigmas:
            self.Output.setDirty( slice(None) )
        else:
            assert False, "Unknown input slot: {}".format( slot.name )

class OpSelectLabels(Operator):
    
    Given two label images, produce a copy of BigLabels, EXCEPT first remove all labels 
    from BigLabels that do not overlap with any labels in SmallLabels.

Instances