You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
C:\Users\Ni\AppData\Local\Programs\Python\Python38\python.exe F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py
Namespace(batch_size=32, device='cuda', direction='horizontal', dist_backend='nccl', dist_url='env://', distributed=False, epochs=1, init_epoch=0, local_rank=0, lr=0.01, lr_gamma=0.1, lr_step_size=30, momentum=0.9, output_dir='./output', sync_bn=False, weight_decay=1e-05, workers=4, world_size=1)
0%| | 0/95804 [00:47<?, ?it/s]
Traceback (most recent call last):
File "", line 1, in
Traceback (most recent call last):
File "F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py", line 195, in
train(arguments)
File "F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py", line 138, in train
loss = train_one_epoch(model, criterion, optimizer, data_loader, device, epoch, args)
File "F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py", line 65, in train_one_epoch
for image, target, input_len, target_len in tqdm(data_loader):
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\tqdm\std.py", line 1165, in iter
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 126, in _main
for obj in iterable:
self = reduction.pickle.load(from_parent)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter
EOFError: Ran out of input
return self._get_iterator()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 918, in init
w.start()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle 'Font' object
Process finished with exit code 1
The text was updated successfully, but these errors were encountered:
但是然后转到generator.py,又在这个类报错了
C:\Users\Ni\AppData\Local\Programs\Python\Python38\python.exe F:/pycharm2020.2/crnn.pytorch_generator/train.py
Namespace(batch_size=64, device='cuda', direction='horizontal', dist_backend='nccl', dist_url='env://', distributed=False, epochs=90, init_epoch=0, local_rank=0, lr=0.01, lr_gamma=0.1, lr_step_size=30, momentum=0.9, output_dir='./output', sync_bn=False, weight_decay=1e-05, workers=4, world_size=1)
0%| | 0/18 [00:00<?, ?it/s]
Traceback (most recent call last):
File "F:/pycharm2020.2/crnn.pytorch_generator/train.py", line 195, in
train(arguments)
File "F:/pycharm2020.2/crnn.pytorch_generator/train.py", line 140, in train
loss = train_one_epoch(model, criterion, optimizer, data_loader, device, epoch, args)
File "F:/pycharm2020.2/crnn.pytorch_generator/train.py", line 65, in train_one_epoch
for image, target, input_len, target_len in tqdm(data_loader):
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\tqdm\std.py", line 1165, in iter
for obj in iterable:
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 521, in next
data = self._next_data()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 561, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\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:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "F:\pycharm2020.2\crnn.pytorch_generator\generator.py", line 181, in getitem
image, indices, target_len = self.gen_image()
File "F:\pycharm2020.2\crnn.pytorch_generator\generator.py", line 158, in gen_image
text = np.random.choice(FONT_CHARS_DICT[font_path], target_len)
File "mtrand.pyx", line 908, in numpy.random.mtrand.RandomState.choice
ValueError: 'a' cannot be empty unless no samples are taken
win10直接运行train.py 报错。微信nlanguage
C:\Users\Ni\AppData\Local\Programs\Python\Python38\python.exe F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py
Namespace(batch_size=32, device='cuda', direction='horizontal', dist_backend='nccl', dist_url='env://', distributed=False, epochs=1, init_epoch=0, local_rank=0, lr=0.01, lr_gamma=0.1, lr_step_size=30, momentum=0.9, output_dir='./output', sync_bn=False, weight_decay=1e-05, workers=4, world_size=1)
0%| | 0/95804 [00:47<?, ?it/s]
Traceback (most recent call last):
File "", line 1, in
Traceback (most recent call last):
File "F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py", line 195, in
train(arguments)
File "F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py", line 138, in train
loss = train_one_epoch(model, criterion, optimizer, data_loader, device, epoch, args)
File "F:/pycharm2020.2/crnn.pytorch_generator/train_Sentence.py", line 65, in train_one_epoch
for image, target, input_len, target_len in tqdm(data_loader):
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\tqdm\std.py", line 1165, in iter
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 126, in _main
for obj in iterable:
self = reduction.pickle.load(from_parent)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter
EOFError: Ran out of input
return self._get_iterator()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 918, in init
w.start()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle 'Font' object
Process finished with exit code 1
The text was updated successfully, but these errors were encountered: