72e0907d7784f62157906818686da273ab6aa7ed,niftynet/contrib/segmentation_bf_aug/segmentation_application_bfaug.py,SegmentationApplicationBFAug,initialise_dataset_loader,#SegmentationApplicationBFAug#Any#Any#Any#,58

Before Change

            self.readers = []
            for file_list in file_lists:
                reader = ImageReader(SUPPORTED_INPUT)
                reader.initialise(data_param, task_param, file_list)
                self.readers.append(reader)

        else:  // in the inference process use image input only

After Change

                image_name=SUPPORTED_INPUT,
                border=self.net_param.volume_padding_size))

        self.readers[].add_preprocessing_layers(
            volume_padding_layer + normalisation_layers + augmentation_layers)

        for reader in self.readers[1:]:

Instances