Thank you for your excellent work. I'm always encountering this issue when trying to evaluate the pretrained model. Could you please advise on how to resolve this issue?
.git does not exist in current dir
[ Fri May 17 11:05:48 2024 ] Model: slr_network.SLRModel.
[ Fri May 17 11:05:48 2024 ] Weights: dev_18.90_PHOENIX14-T.pt.
0%| | 0/260 [00:00<?, ?it/s]
Traceback (most recent call last):
File "main.py", line 255, in
processor.start()
File "main.py", line 97, in start
dev_wer = seq_eval(self.arg, self.data_loader["dev"], self.model, self.device,
File "/home/lulo/program/CorrNet-main/seq_scripts.py", line 58, in seq_eval
for batch_idx, data in enumerate(tqdm(loader)):
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/tqdm/std.py", line 1180, in iter
for obj in iterable:
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in next
data = self._next_data()
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
return self._process_data(data)
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
IndexError: Caught IndexError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/lulo/program/CorrNet-main/dataset/dataloader_video.py", line 50, in getitem
input_data, label = self.normalize(input_data, label)
File "/home/lulo/program/CorrNet-main/dataset/dataloader_video.py", line 87, in normalize
video, label = self.data_aug(video, label, file_id)
File "/home/lulo/program/CorrNet-main/utils/video_augmentation.py", line 24, in call
image = t(image)
File "/home/lulo/program/CorrNet-main/utils/video_augmentation.py", line 157, in call
im_h, im_w, im_c = clip[0].shape
IndexError: list index out of range
Thank you for your excellent work. I'm always encountering this issue when trying to evaluate the pretrained model. Could you please advise on how to resolve this issue?
.git does not exist in current dir [ Fri May 17 11:05:48 2024 ] Model: slr_network.SLRModel. [ Fri May 17 11:05:48 2024 ] Weights: dev_18.90_PHOENIX14-T.pt. 0%| | 0/260 [00:00<?, ?it/s] Traceback (most recent call last): File "main.py", line 255, in
processor.start()
File "main.py", line 97, in start
dev_wer = seq_eval(self.arg, self.data_loader["dev"], self.model, self.device,
File "/home/lulo/program/CorrNet-main/seq_scripts.py", line 58, in seq_eval
for batch_idx, data in enumerate(tqdm(loader)):
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/tqdm/std.py", line 1180, in iter
for obj in iterable:
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in next
data = self._next_data()
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
return self._process_data(data)
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
IndexError: Caught IndexError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/lulo/anaconda3/envs/CorrNet/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/lulo/program/CorrNet-main/dataset/dataloader_video.py", line 50, in getitem
input_data, label = self.normalize(input_data, label)
File "/home/lulo/program/CorrNet-main/dataset/dataloader_video.py", line 87, in normalize
video, label = self.data_aug(video, label, file_id)
File "/home/lulo/program/CorrNet-main/utils/video_augmentation.py", line 24, in call
image = t(image)
File "/home/lulo/program/CorrNet-main/utils/video_augmentation.py", line 157, in call
im_h, im_w, im_c = clip[0].shape
IndexError: list index out of range