c25036261ee9d9e9c79099b4e7938d591cbda7b5,niftynet/contrib/regression_weighted_sampler/isample_regression.py,ISampleRegression,initialise_dataset_loader,#ISampleRegression#Any#Any#Any#,39

Before Change

        for file_list in file_lists:
            reader = ImageReader(["image", "output"])
            reader.initialise(data_param, task_param, file_list)
            self.readers.append(reader)

        mean_var_normaliser = MeanVarNormalisationLayer(image_name="image")
        histogram_normaliser = None
        if self.net_param.histogram_ref_file:

After Change

            return

        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)
        // modifying the original readers in regression application
        // as we need ground truth labels to generate error maps
        self.readers = [
            ImageReader(["image", "output"]).initialise(
                data_param, task_param, file_list) for file_list in file_lists]

        mean_var_normaliser = MeanVarNormalisationLayer(image_name="image")
        histogram_normaliser = None

Instances