log file path:log/log_2021-01-29_21-41-55.txt
2021-01-29 21:41:55,228 train.py[line:611] INFO: Using device cuda
convalution havn't activate linear
convalution havn't activate linear
convalution havn't activate linear
2021-01-29 21:41:56,968 train.py[line:327] INFO: Starting training:
Epochs: 300
Batch size: 64
Subdivisions: 16
Learning rate: 0.001
Training size: 7231
Validation size: 803
Checkpoints: True
Device: cuda
Images size: 608
Optimizer: adam
Dataset classes: 1
Train label path:data/train.txt
Pretrained:
Epoch 1/300: 0%| | 0/7231 [00:00<?, ?img/s]
Traceback (most recent call last):
File "train.py", line 626, in
device=device, )
File "train.py", line 370, in train
for i, batch in enumerate(train_loader):
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in next
data = self._next_data()
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/fee/pytorch-YOLOv4/dataset.py", line 275, in getitem
img_path = os.path.join(self.cfg.dataset_dir, img_path)
File "/home/fee/.conda/envs/envhrank/lib/python3.6/posixpath.py", line 80, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
log file path:log/log_2021-01-29_21-41-55.txt 2021-01-29 21:41:55,228 train.py[line:611] INFO: Using device cuda convalution havn't activate linear convalution havn't activate linear convalution havn't activate linear 2021-01-29 21:41:56,968 train.py[line:327] INFO: Starting training: Epochs: 300 Batch size: 64 Subdivisions: 16 Learning rate: 0.001 Training size: 7231 Validation size: 803 Checkpoints: True Device: cuda Images size: 608 Optimizer: adam Dataset classes: 1 Train label path:data/train.txt Pretrained:
Epoch 1/300: 0%| | 0/7231 [00:00<?, ?img/s] Traceback (most recent call last): File "train.py", line 626, in
device=device, )
File "train.py", line 370, in train
for i, batch in enumerate(train_loader):
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in next
data = self._next_data()
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/fee/.conda/envs/envhrank/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/fee/pytorch-YOLOv4/dataset.py", line 275, in getitem
img_path = os.path.join(self.cfg.dataset_dir, img_path)
File "/home/fee/.conda/envs/envhrank/lib/python3.6/posixpath.py", line 80, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType