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

Before Change

                self.readers.append(reader)

        else:  // in the inference process use image input only
            inference_reader = ImageReader(["image"])
            file_list = data_partitioner.inference_files
            inference_reader.initialise(data_param, task_param, file_list)
            self.readers = [inference_reader]

        foreground_masking_layer = None
        if self.net_param.normalise_foreground_only:
            foreground_masking_layer = BinaryMaskingLayer(

After Change

                self.action, self.SUPPORTED_PHASES)
            raise ValueError
        try:
            reader_phase = self.action_param.dataset_to_infer
        except AttributeError:
            reader_phase = None
        file_lists = data_partitioner.get_file_lists_by(
            phase=reader_phase, action=self.action)
        self.readers = [
            ImageReader(reader_names).initialise(
                data_param, task_param, file_list) for file_list in file_lists]

        foreground_masking_layer = None
        if self.net_param.normalise_foreground_only:

Instances