| import pyarrow.parquet as pq | |
| from PIL import Image | |
| import io | |
| table = pq.read_table("/home/v-ruoyufeng/v-ruoyufeng/qyp/datasets/downloads/ef4b5e6297f2e78af98b168d563b452438b711eb371489de4729f8e5d8168df8") | |
| df = table.to_pandas() | |
| from PIL import Image | |
| import numpy as np | |
| for idx, row in df.iterrows(): | |
| image_bytes = row['image_column'] # 假设图像数据在'image_column'列 | |
| image = Image.open(io.BytesIO(image_bytes)) | |
| image.save(f"kodim_{idx}.png") |