87cc11bfd1956d6e1581b5e17aa083895ebc8586,ilastik/applets/edgeTraining/opEdgeTraining.py,OpComputeEdgeFeatures,execute,#OpComputeEdgeFeatures#Any#Any#Any#Any#,213

Before Change

            feature_data.append( feature_array )

        // Concatenate features from all channels
        feature_data_array = np.concatenate(feature_data, axis=1)
        result[0] = feature_data_array
 
    def propagateDirty(self, slot, subindex, roi):
        self.EdgeFeatures.setDirty()

After Change

            
        // Could use join() or merge() here, but we know the rows are already in the right order, and concat() should be faster.
        all_edge_features_df = pd.DataFrame( rag.edge_ids, columns=["sp1", "sp2"] )
        all_edge_features_df = pd.concat([all_edge_features_df] + edge_feature_dfs, axis=1, copy=False)
        result[0] = all_edge_features_df
 
    def propagateDirty(self, slot, subindex, roi):
        self.EdgeFeaturesDataFrame.setDirty()

Instances