bug in my implementation.

[oLIVIa-Ld]

hi, team.@yechanp @irhum, I am trying this project but this bug occurred when i'm trying to put my data into the network.
could you help me with this error?
thanks very much.

Traceback (most recent call last):
File "train_r2p1d_ucf.py", line 17, in
train_model(model, train_dataloader, val_dataloader, path=save_path)
File "/usr/R2plus1D_TSN_combine-master/R2plus1D_TSN_combine-master/trainer.py", line 139, in train_model
for inputs, labels in dataloaders[phase]:
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 819, in next
return self._process_data(data)
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 846, in _process_data
data.reraise()
File "/root/anaconda3/lib/python3.7/site-packages/torch/_utils.py", line 369, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop
data = fetcher.fetch(index)
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/R2plus1D_TSN_combine-master/R2plus1D_TSN_combine-master/dataset.py", line 48, in getitem
buffer = self.loadvideoframe(self.fnames[index])
File "/usr/R2plus1D_TSN_combine-master/R2plus1D_TSN_combine-master/dataset.py", line 60, in loadvideoframe
im_path_pattern = self.get_im_path_pattern(fname)
File "/usr/R2plus1D_TSN_combine-master/R2plus1D_TSN_combine-master/dataset.py", line 58, in get_im_path_pattern
return os.path.join(self.im_path_root, vid_name, 'img*.jpg')
File "/root/anaconda3/lib/python3.7/posixpath.py", line 80, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType