7d9db23a389499c2764fb850cd19f853cc3e8565,ludwig/features/image_feature.py,ImageBaseFeature,add_feature_data,#Any#Any#Any#Any#Any#,192

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After Change

            )
            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