e3700cd9c3d556c96bd4eff893669baa679a3083,niftynet/application/autoencoder_application.py,AutoencoderApplication,initialise_dataset_loader,#AutoencoderApplication#Any#Any#Any#,36

Before Change

            self.readers = [ImageReader(["feature"])]
            self.readers[0].initialise(data_param,
                                       task_param,
                                       [file_lists])
        // if self.is_training or self._infer_type in ("encode", "encode-decode"):
        //    mean_var_normaliser = MeanVarNormalisationLayer(image_name="image")
        //    self.reader.add_preprocessing_layers([mean_var_normaliser])

After Change

                self.autoencoder_param.inference_type, SUPPORTED_INFERENCE)
        else:
            self._infer_type = None
        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)
        // read each line of csv files into an instance of Subject
        if self.is_evaluation:
            NotImplementedError("Evaluation is not yet "
                                "supported in this application.")

Instances