Datasets:
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import os
from io import BytesIO
from PIL import Image
import argparse
import dask.dataframe as dd
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:
print(f"Saving image to {img_path}")
except Exception as e:
return 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)
results = ddf.apply(save_image, axis=1, meta='str',
image_column=args.image_column,
save_folder=args.save_folder,
format=args.format,
print_logs=args.print_logs)
results.compute()
if __name__ == "__main__":
main() |