9303d06331cf6895188591e623cbbca76ea27c3d,cellprofiler/objects.py,Objects,relate_children,#Objects#Any#,300

Before Change

            parent_labels  = children.crop_image_similarly(parent_labels)
        except ValueError:
            // If parents and children are not similarly cropped, take the LCD
            parent_labels, child_labels = crop_labels_and_image(parent_labels,
                                                                child_labels)
        return self.relate_labels(parent_labels, child_labels)
    

After Change

        object number.
        
        if self.has_ijv or children.has_ijv:
            histogram = self.histogram_from_ijv(self.ijv, children.ijv)
        else:
            histogram = self.histogram_from_labels(self.segmented, children.segmented)

        parent_count = histogram.shape[0] - 1
        child_count = histogram.shape[1] - 1

        parents_of_children = np.argmax(histogram, axis=0)
        //
        // Create a histogram of // of children per parent
        children_per_parent = np.histogram(parents_of_children[1:], np.arange(parent_count + 2))[0][1:]

        //
        // Make sure to remove the background elements at index 0
        //

Instances