AssertionError: Caught AssertionError in DataLoader worker process 0. Original Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 202, in _worker_loop data = fetcher.fetch(index) File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/root/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/tmp/pycharm_project_84/datasets/dtu_yao_eval.py", line 88, in __getitem__ imgs.append(self.read_img(img_filename)) File "/tmp/pycharm_project_84/datasets/dtu_yao_eval.py", line 63, in read_img assert np_img.shape[:2] == (1600, 1200) AssertionError
时间: 2023-12-07 12:03:40 浏览: 559
scrcpy投屏 AssertionError: java.lang.reflect.InvocationTargetExcep
5星 · 资源好评率100%
这个错误是由于在DataLoader的worker进程中读取数据时出现了断言错误,导致进程退出。具体来说,在读取数据时,代码断言了读取的图像的shape必须是(1600, 1200),然而实际读取的图像shape不符合这个要求,导致了断言错误。
解决这个问题的方法是检查数据集中的图像是否都符合这个shape要求。如果有些图像shape不符合要求,则需要对这些图像进行处理,使其符合要求。另外,也可以考虑修改代码,使其能够处理不同shape的图像。具体的修改方法需要根据代码的具体情况进行分析和实现。
阅读全文