733496571cb059669deba20ca719d01796ea06fd,niftynet/application/regression_application.py,RegressionApplication,initialise_dataset_loader,#RegressionApplication#Any#Any#Any#,56

Before Change

        if self.net_param.whitening:
            normalisation_layers.append(mean_var_normaliser)

        augmentation_layers = []
        if self.is_training:
            if self.action_param.random_flipping_axes != -1:
                augmentation_layers.append(RandomFlipLayer(
                    flip_axes=self.action_param.random_flipping_axes))

After Change

                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(

Instances