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

Before Change

                    user_specified_num_channels
                )
                try:
                    data[feature["name"]][i, :, :, :] = img
                except:
                    logger.error(
                        "Images are not of the same size. "

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