OSError: image file is truncated

[ABing2002]

CustomDatasetDataLoader
dataset [UnalignedDataset] was created
Traceback (most recent call last):
File "D:\miniconda\envs\python3_8\lib\site-packages\PIL\ImageFile.py", line 271, in load
s = read(self.decodermaxblock)
File "D:\miniconda\envs\python3_8\lib\site-packages\PIL\PngImagePlugin.py", line 932, in load_read
cid, pos, length = self.png.read()
File "D:\miniconda\envs\python3_8\lib\site-packages\PIL\PngImagePlugin.py", line 167, in read
length = i32(s)
File "D:\miniconda\envs\python3_8\lib\site-packages\PIL_binary.py", line 85, in i32be
return unpack_from(">I", c, o)[0]
struct.error: unpack_from requires a buffer of at least 4 bytes for unpacking 4 bytes at offset 0 (actual buffer size is 0)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "train.py", line 14, in
data_loader = CreateDataLoader(opt)
File "D:\graduate\EnlightenGAN\EnlightenGAN-master\data\data_loader.py", line 6, in CreateDataLoader
data_loader.initialize(opt)
File "D:\graduate\EnlightenGAN\EnlightenGAN-master\data\custom_dataset_data_loader.py", line 39, in initialize
self.dataset = CreateDataset(opt)
File "D:\graduate\EnlightenGAN\EnlightenGAN-master\data\custom_dataset_data_loader.py", line 29, in CreateDataset
dataset.initialize(opt)
File "D:\graduate\EnlightenGAN\EnlightenGAN-master\data\unaligned_dataset.py", line 65, in initialize
self.A_imgs, self.A_paths = store_dataset(self.dir_A)
File "D:\graduate\EnlightenGAN\EnlightenGAN-master\data\image_folder.py", line 45, in store_dataset
img = Image.open(path).convert('RGB')
File "D:\miniconda\envs\python3_8\lib\site-packages\PIL\Image.py", line 922, in convert
self.load()
File "D:\miniconda\envs\python3_8\lib\site-packages\PIL\ImageFile.py", line 278, in load
raise OSError(msg) from e
OSError: image file is truncated

i dont what's wrong. I download the dataset from the link provided by author

[3Sanmer]

这个是训练图片有一个是坏的你找出来删了就好了

[3Sanmer]

from PIL import Image
import os

def check_image(file_path):
try:
img = Image.open(file_path)
img.verify()
return True
except Exception as e:
print(f"损坏文件: {file_path} - {str(e)}")
return False

data_dir = "./final_dataset/trainA"
for root, _, files in os.walk(data_dir):
for file in files:
check_image(os.path.join(root, file))

[ABing2002]

谢谢哥们