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Reverse indexing ...
Done reverse indexing in 0.1 seconds.
=== Beginning epoch 1 of 100 ===
0%| | 0/125 [00:33<?, ?it/s]
Traceback (most recent call last):
File "\BEV\mono-semantic-maps-master\train.py", line 344, in
main()
File "\BEV\mono-semantic-maps-master\train.py", line 319, in main
train(train_loader, model, criterion, optimiser, summary, config, epoch)
File "\BEV\mono-semantic-maps-master\train.py", line 37, in train
for i, batch in enumerate(tqdm(dataloader)):
File "\Users\S\anaconda3\envs\torch\lib\site-packages\tqdm\std.py", line 1182, in iter
for obj in iterable:
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 631, in next
data = self._next_data()
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 1346, in _next_data
return self._process_data(data)
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 1372, in _process_data
data.reraise()
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch_utils.py", line 722, in reraise
raise exception
FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "\BEV\mono-semantic-maps-master\src\data\augmentation.py", line 14, in getitem
image, calib, labels, mask = self.dataset[index]
File "\BEV\mono-semantic-maps-master\src\data\nuscenes\dataset.py", line 56, in getitem
image = self.load_image(token)
File "\BEV\mono-semantic-maps-master\src\data\nuscenes\dataset.py", line 66, in load_image
image = Image.open(self.nuscenes.get_sample_data_path(token))
File "\Users\S\anaconda3\envs\torch\lib\site-packages\PIL\Image.py", line 3247, in open
fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'C:\BEV\mono-semantic-maps-master\nuscenes\samples/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402938647423.jpg'
Please help me to resolve this issue, NOTE: I tried all the possible way to mention correct paths in config file , also when i try big dataset i am facing the memory error and when using the mini dataset i face this above mentioned error. kindly help me with this
The text was updated successfully, but these errors were encountered:
torch\builder\windows\pytorch\aten\src\ATen\native\TensorShape.cpp:3550.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
==> Loading NuScenes dataset...
Loading NuScenes tables for version v1.0-mini...
23 category,
8 attribute,
4 visibility,
911 instance,
12 sensor,
120 calibrated_sensor,
31206 ego_pose,
8 log,
10 scene,
404 sample,
31206 sample_data,
18538 sample_annotation,
4 map,
Done loading in 0.476 seconds.
Reverse indexing ...
Done reverse indexing in 0.1 seconds.
=== Beginning epoch 1 of 100 ===
0%| | 0/125 [00:33<?, ?it/s]
Traceback (most recent call last):
File "\BEV\mono-semantic-maps-master\train.py", line 344, in
main()
File "\BEV\mono-semantic-maps-master\train.py", line 319, in main
train(train_loader, model, criterion, optimiser, summary, config, epoch)
File "\BEV\mono-semantic-maps-master\train.py", line 37, in train
for i, batch in enumerate(tqdm(dataloader)):
File "\Users\S\anaconda3\envs\torch\lib\site-packages\tqdm\std.py", line 1182, in iter
for obj in iterable:
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 631, in next
data = self._next_data()
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 1346, in _next_data
return self._process_data(data)
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 1372, in _process_data
data.reraise()
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch_utils.py", line 722, in reraise
raise exception
FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "\Users\S\anaconda3\envs\torch\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "\BEV\mono-semantic-maps-master\src\data\augmentation.py", line 14, in getitem
image, calib, labels, mask = self.dataset[index]
File "\BEV\mono-semantic-maps-master\src\data\nuscenes\dataset.py", line 56, in getitem
image = self.load_image(token)
File "\BEV\mono-semantic-maps-master\src\data\nuscenes\dataset.py", line 66, in load_image
image = Image.open(self.nuscenes.get_sample_data_path(token))
File "\Users\S\anaconda3\envs\torch\lib\site-packages\PIL\Image.py", line 3247, in open
fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'C:\BEV\mono-semantic-maps-master\nuscenes\samples/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402938647423.jpg'
Please help me to resolve this issue, NOTE: I tried all the possible way to mention correct paths in config file , also when i try big dataset i am facing the memory error and when using the mini dataset i face this above mentioned error. kindly help me with this
The text was updated successfully, but these errors were encountered: