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
            inference_reader = ImageReader(["image"])

After Change

        // initialise input image readers
        if self.is_training:
            reader_names = ("image", "label", "weight", "sampler")
        elif self.is_inference:
            // in the inference process use `image` input only
            reader_names = ("image",)
        elif self.is_evaluation:

Instances