我已经进行了一些谷歌搜索，这个错误似乎经常出现，但我不知道如何解决它。我目前正在进行PyTorch的torchvision教程（https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html），学习分割。然而，我遇到了标题中的错误：

Traceback (most recent call last):  File "main.py", line 139, in <module>    main()  File "main.py", line 131, in main    print_freq=10)  File "/engine.py", line 26, in train_one_epoch    for images, targets in metric_logger.log_every(data_loader, print_freq, header):  File "/utils.py", line 180, in log_every    for obj in iterable:  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 521, in __next__    data = self._next_data()  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1203, in _next_data    return self._process_data(data)  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1229, in _process_data    data.reraise()  File "/usr/local/lib/python3.6/dist-packages/torch/_utils.py", line 425, in reraise    raise self.exc_type(msg)AttributeError: Caught AttributeError in DataLoader worker process 0.Original Traceback (most recent call last):  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop    data = fetcher.fetch(index)  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch    data = [self.dataset[idx] for idx in possibly_batched_index]  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>    data = [self.dataset[idx] for idx in possibly_batched_index]  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataset.py", line 311, in __getitem__    return self.dataset[self.indices[idx]]  File "main.py", line 64, in __getitem__    img, target = self.transforms(img.target)  File "/usr/local/lib/python3.6/dist-packages/PIL/Image.py", line 546, in __getattr__    raise AttributeError(name)AttributeError: target

我相信我完全按照教程进行的，复制了他们的代码 – 因此，我有点不确定为什么会出现这个错误。对于一个试图学习如何在计算机视觉中使用机器学习的初学者来说，搞清楚这里发生了什么尤其困难。

我不知道这是否重要，但我正在Ubuntu上运行Python3。

非常感谢您的帮助！ 🙂

回答：

我认为你在PennFudanDataset的__getitem__函数中误将,打成了.

你的版本：

        if self.transforms is not None:            img, target = self.transforms(img.target)

教程：

        if self.transforms is not None:            img, target = self.transforms(img, target)