5667af96dade79ef77194d519182d4989494b3a4,ludwig/features/image_feature.py,ImageBaseFeature,add_feature_data,#Any#Any#Any#Any#Any#,192

Before Change

                (num_images, height, width, num_channels),
                dtype=np.uint8
            )
            for i in range(len(dataset_df)):
                filepath = get_abs_path(
                    csv_path,
                    dataset_df[feature["name"]][i]
                )

                img = ImageBaseFeature._read_image_and_resize(
                    filepath,

After Change

            resize_method=preprocessing_parameters["resize_method"],
            user_specified_num_channels=user_specified_num_channels
        )
        all_file_paths = [get_abs_path(csv_path, file_path)
                          for file_path in dataset_df[feature["name"]]]

        if feature["preprocessing"]["in_memory"]:
            data[feature["name"]] = np.empty(

Instances