0%| | 0/120 [00:00<?, ?it/s]Traceback (most recent call last):
File "D:/Project/MPN/Train.py", line 134, in
for j, (imgs) in enumerate(train_batch):
File "C:\ProgramData\Anaconda3\envs\MPN\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next
data = self._next_data()
File "C:\ProgramData\Anaconda3\envs\MPN\lib\site-packages\torch\utils\data\dataloader.py", line 561, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "C:\ProgramData\Anaconda3\envs\MPN\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "C:\ProgramData\Anaconda3\envs\MPN\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\Project\MPN\model\utils.py", line 144, in getitem
frame_ind = random.sample(range(0, length//self.num_segs), 1)
File "C:\ProgramData\Anaconda3\envs\MPN\lib\random.py", line 320, in sample
raise ValueError("Sample larger than population or is negative")
ValueError: Sample larger than population or is negative
0%| | 0/120 [00:00<?, ?it/s]
Many thanks in advance.
你解决了吗,怎么把数据集中的训练集放到frames文件夹下面呀