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