roatienza
commented
14 hours ago For non-latin, you may have to modify the character list and therefore the output layer
Open MahmoudElsayedMahmoud opened 2 days ago
roatienza
commented
14 hours ago For non-latin, you may have to modify the character list and therefore the output layer
Filtering the images containing characters which are not in opt.character Filtering the images whose label is longer than opt.batch_max_length
dataset_root: ./datasets/lmbd3333333 opt.select_data: [''] opt.batch_ratio: ['1']
dataset_root: ./datasets/lmbd3333333 dataset: sub-directory: /. num samples: 6 num total samples of : 6 x 1.0 (total_data_usage_ratio) = 6 num samples of per batch: 48 x 1.0 (batch_ratio) = 48 Traceback (most recent call last): File "D:\deep-text-recognition-benchmark\train.py", line 319, in
train(opt)
File "D:\deep-text-recognition-benchmark\train.py", line 43, in train
train_dataset = Batch_Balanced_Dataset(opt)
File "D:\deep-text-recognition-benchmark\dataset.py", line 81, in init
self.dataloader_iter_list.append(iter(_data_loader))
File "C:\Users\user\miniconda3\envs\vitocr\lib\site-packages\torch\utils\data\dataloader.py", line 440, in iter
return self._get_iterator()
File "C:\Users\user\miniconda3\envs\vitocr\lib\site-packages\torch\utils\data\dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\user\miniconda3\envs\vitocr\lib\site-packages\torch\utils\data\dataloader.py", line 1038, in init
w.start()
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle 'Environment' object
(vitocr) D:\deep-text-recognition-benchmark> (vitocr) D:\deep-text-recognition-benchmark>Traceback (most recent call last): File "", line 1, in
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\user\miniconda3\envs\vitocr\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input