83f6726852bd539c427523bf4bf35f07b0744014,niftynet/application/regression_application.py,RegressionApplication,initialise_dataset_loader,#RegressionApplication#Any#Any#Any#,56

Before Change

        // read each line of csv files into an instance of Subject
        if self.is_training:
            self.readers = [ImageReader(SUPPORTED_INPUT)]
            if self.action_param.validate_every_n:
                self.readers.append(ImageReader(SUPPORTED_INPUT))
        else:  // in the inference process use image input only
            self.readers = [ImageReader(["image"])]
        file_list = data_partitioner.get_file_list()
        for reader in self.readers:
            reader.initialise(data_param, task_param, file_list)

        mean_var_normaliser = MeanVarNormalisationLayer(
            image_name="image")
        if self.net_param.histogram_ref_file:
            histogram_normaliser = HistogramNormalisationLayer(

After Change

        // read each line of csv files into an instance of Subject
        if self.is_training:
            file_lists = []
            if self.action_param.validation_every_n > 0:
                file_lists.append(data_partitioner.train_files)
                file_lists.append(data_partitioner.validation_files)
            else:
                file_lists.append(data_partitioner.all_files)

            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:
            inference_reader = ImageReader(["image"])
            file_list = data_partitioner.inference_list
            inference_reader.initialise(data_param, task_param, file_list)
            self.readers = [inference_reader]

        mean_var_normaliser = MeanVarNormalisationLayer(
            image_name="image")

Instances