import os import logging import argparse from io import BytesIO from PIL import Image import dask import dask.dataframe as dd dask.config.set({"dataframe.convert-string": False}) logging.basicConfig( format="[%(asctime)s | %(name)s | %(levelname)s] %(message)s", level=logging.INFO, ) logger = logging.getLogger(__name__) def save_image(row, image_column, format, save_folder, print_logs): row_id = row.name try: byte_string = row[image_column] img = Image.open(BytesIO(byte_string)) img_path = os.path.join(save_folder, f'image_{row_id}.{format}') img.save(img_path) if print_logs: logger.info(f"Saving image to {img_path}") except Exception as e: logger.warning(f'Error saving image for row {row_id}: {str(e)}') def main(): parser = argparse.ArgumentParser(description='Download and save images from a Parquet file.') parser.add_argument('--parquet_file', type=str, help='Path to the Parquet file or folder containing the images') parser.add_argument('--save_folder', type=str, help='The folder where to save the images to') parser.add_argument('--image_column', type=str, default="data", required=False, help='Name of the column containing image byte strings, defaults to "data"') parser.add_argument('--format', type=str, default="jpg", required=False, help='Image format (e.g., png, jpg), defaults to "jpgs"') parser.add_argument('--print_logs', type=bool, default=False, required=False, help='Flag to enable saving logs when writing images, defaults to False') args = parser.parse_args() ddf = dd.read_parquet(args.parquet_file) logger.info(f"Extracting images to folder `{args.save_folder}`") results = ddf.apply(save_image, axis=1, meta=(args.image_column, "str"), image_column=args.image_column, save_folder=args.save_folder, format=args.format, print_logs=args.print_logs) results.compute() logger.info("Image extraction complete") if __name__ == "__main__": main()