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

Before Change

                        "Additional information: https://uber.github.io/ludwig/user_guide///image-features-preprocessing"
                            .format(first_image.shape, img.shape)
                    )
                    raise
        else:
            data_fp = os.path.splitext(dataset_df.csv)[0] + ".hdf5"
            mode = "w"
            if os.path.isfile(data_fp):

After Change

            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(
                (num_images, height, width, num_channels),
                dtype=np.uint8
            )
            with Pool(5) as pool:
                logger.info("Using 5 processes for preprocessing images")
                data[feature["name"]] = np.array(
                    pool.map(read_image_and_resize, all_file_paths)
                )
        else:
            data_fp = os.path.splitext(dataset_df.csv)[0] + ".hdf5"
            mode = "w"
            if os.path.isfile(data_fp):

Instances