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import os
import io
from PIL import Image
import pandas as pd
from datasets import load_dataset
def save_images_from_parquet(parquet_path, target_folder):
"""
Load parquet file using datasets, read each row's BYTES and FILENAME,
and save the image to the target folder with the name FILENAME.
Args:
parquet_path: Path to the input parquet file
target_folder: Path to the target folder to save images
"""
# Load the parquet file
dataset = load_dataset('loooooong/Any2anyTryon_vitonhd_test', data_files=parquet_path)['train']
# Ensure target folder exists
os.makedirs(target_folder, exist_ok=True)
# Process each row
for row in dataset:
try:
# Read image bytes and filename
image = row['BYTES']
filename = row['FILENAME']
# Open image using PIL
# image = Image.open(io.BytesIO(image_bytes))
# Save image to target folder
image.save(os.path.join(target_folder, filename))
except Exception as e:
print(f"Failed to process row with filename {row['FILENAME']}: {e}")
if __name__ == "__main__":
parquet_path = "data/vitonhd_test.parquet"
target_folder = "data/zalando-hd-resized/test/image_synthesis"
save_images_from_parquet(parquet_path, target_folder)
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