train_net.py

[dcf123-ff]

/home/dcf/anaconda3/envs/pvnet-clean/bin/python3.7 /home/dcf/桌面/clean-pvnet-master/train_net.py loading annotations into memory... Done (t=0.00s) creating index... index created! loading annotations into memory... Done (t=0.00s) creating index... index created!

loading annotations into memory... Done (t=0.00s) creating index... index created!

Traceback (most recent call last): File "/home/dcf/桌面/clean-pvnet-master/train_net.py", line 57, in main() File "/home/dcf/桌面/clean-pvnet-master/train_net.py", line 53, in main train(cfg, network) File "/home/dcf/桌面/clean-pvnet-master/train_net.py", line 28, in train trainer.train(epoch, train_loader, optimizer, recorder) File "/home/dcf/桌面/clean-pvnet-master/lib/train/trainers/trainer.py", line 31, in train for iteration, batch in enumerate(data_loader): File "/home/dcf/anaconda3/envs/pvnet-clean/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 582, in next return self._process_next_batch(batch) File "/home/dcf/anaconda3/envs/pvnet-clean/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 608, in _process_next_batch raise batch.exc_type(batch.exc_msg) TypeError: Traceback (most recent call last): File "/home/dcf/anaconda3/envs/pvnet-clean/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 99, in _worker_loop samples = collate_fn([dataset[i] for i in batch_indices]) File "/home/dcf/anaconda3/envs/pvnet-clean/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 99, in samples = collate_fn([dataset[i] for i in batch_indices]) File "lib/datasets/linemod/pvnet.py", line 40, in getitem index, height, width = index_tuple TypeError: cannot unpack non-iterable int object

您好，这个问题我不知道怎么解决，希望可以得到您的帮助，非常感谢您.

[pengsida]

请问你有改过代码吗？