pytorch--报错：OSError: image file is truncated (16 bytes not processed)
Traceback (most recent call last): 2012 File "train.py", line 131, in <module> 2013 for _, (input_images, ground_truths, masks) in enumerate(data_loader): 2014 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in __next__ 2015 data = self._next_data() 2016 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 856, in _next_data 2017 return self._process_data(data) 2018 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 881, in _process_data 2019 data.reraise() 2020 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/_utils.py", line 394, in reraise 2021 raise self.exc_type(msg) 2022 OSError: Caught OSError in DataLoader worker process 3. 2023 Original Traceback (most recent call last): 2024 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop 2025 data = fetcher.fetch(index) 2026 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch 2027 data = [self.dataset[idx] for idx in possibly_batched_index] 2028 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp> 2029 data = [self.dataset[idx] for idx in possibly_batched_index] 2030 File "/home/guoxiefan/PyTorch/ImageInpainting/LBAM/src/dataset.py", line 76, in __getitem__ 2031 ground_truth = self.image_files_transforms(image.convert('RGB')) 2032 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/PIL/Image.py", line 873, in convert 2033 self.load() 2034 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/PIL/ImageFile.py", line 247, in load 2035 "(%d bytes not processed)" % len(b) 2036 OSError: image file is truncated (34 bytes not processed)
原因：有些图片太大，超出PIL的处理范围
参考解决方案：https://blog.csdn.net/scool_winter/article/details/89426509
解决方法：加上下面两行代码，这样在遇到截断的JPEG时，程序就会跳过去，读取另一张图片了
from PIL import ImageFile ImageFile.LOAD_TRUNCATED_IMAGES = True
