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Mask not applied & PicklingError #247

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Karol-G opened this issue Jan 25, 2020 · 4 comments
Open

Mask not applied & PicklingError #247

Karol-G opened this issue Jan 25, 2020 · 4 comments

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@Karol-G
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Karol-G commented Jan 25, 2020

Hi again,

I tried to run the main.py but the logs do not look good...

**Click to open run log** 

Total Params: 1864322
Total Params: 31042434
### SPLIT FOUND:  data\STARE\splits\STARE_0.json Loaded
### Mask not applied.  im0077.ppm
### Mask not applied.  im0081.ppm
### Mask not applied.  im0236.ppm
### Mask not applied.  im0255.ppm
### Mask not applied.  im0005.ppm
### Mask not applied.  im0003.ppm
### Mask not applied.  im0235.ppm
### Mask not applied.  im0139.ppm
### Mask not applied.  im0319.ppm
### Mask not applied.  im0001.ppm
### Mask not applied.  im0163.ppm
### Mask not applied.  im0044.ppm
Patches: 144
### Mask not applied.  im0002.ppm
Patches: 12
### Mask not applied.  im0162.ppm
Patches: 12
### Mask not applied.  im0291.ppm
Patches: 12
### Mask not applied.  im0082.ppm
Patches: 12
Training...
### SPLIT FOUND:  data\STARE\splits\STARE_1.json Loaded
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\unet\__init__.py", line 52, in run
	epoch_run=trainer.epoch_ce_loss)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 84, in train
	epoch_run(epoch=epoch, data_loader=data_loader, logger=self.train_logger)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 221, in epoch_ce_loss
	for i, data in enumerate(kw['data_loader'], 1):
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 279, in __iter__
	return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 719, in __init__
	w.start()
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\process.py", line 112, in start
	self._popen = self._Popen(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 223, in _Popen
	return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 322, in _Popen
	return Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
	reduction.dump(process_obj, to_child)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\reduction.py", line 60, in dump
	ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x000002DA8D01B318>: attribute lookup <lambda> on testarch.unet.runs failed
### Mask not applied.  im0324.ppm
### Mask not applied.  im0239.ppm
### Mask not applied.  im0240.ppm
### Mask not applied.  im0004.ppm
### Mask not applied.  im0005.ppm
### Mask not applied.  im0003.ppm
### Mask not applied.  im0235.ppm
### Mask not applied.  im0139.ppm
### Mask not applied.  im0319.ppm
### Mask not applied.  im0001.ppm
### Mask not applied.  im0163.ppm
### Mask not applied.  im0044.ppm
Patches: 144
### Mask not applied.  im0077.ppm
Patches: 12
### Mask not applied.  im0081.ppm
Patches: 12
### Mask not applied.  im0236.ppm
Patches: 12
### Mask not applied.  im0255.ppm
Patches: 12
Training...
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\unet\__init__.py", line 52, in run
	epoch_run=trainer.epoch_ce_loss)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 84, in train
	epoch_run(epoch=epoch, data_loader=data_loader, logger=self.train_logger)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 221, in epoch_ce_loss
	for i, data in enumerate(kw['data_loader'], 1):
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 279, in __iter__
	return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 719, in __init__
	w.start()
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\process.py", line 112, in start
	self._popen = self._Popen(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 223, in _Popen
	return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 322, in _Popen
	return Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
	reduction.dump(process_obj, to_child)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\reduction.py", line 60, in dump
	ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x000002DA8D01B318>: attribute lookup <lambda> on testarch.unet.runs failed
### SPLIT FOUND:  data\STARE\splits\STARE_2.json Loaded
### Mask not applied.  im0324.ppm
### Mask not applied.  im0239.ppm
### Mask not applied.  im0240.ppm
### Mask not applied.  im0004.ppm
### Mask not applied.  im0002.ppm
### Mask not applied.  im0162.ppm
### Mask not applied.  im0291.ppm
### Mask not applied.  im0082.ppm
### Mask not applied.  im0319.ppm
### Mask not applied.  im0001.ppm
### Mask not applied.  im0163.ppm
### Mask not applied.  im0044.ppm
Patches: 144
### Mask not applied.  im0005.ppm
Patches: 12
### Mask not applied.  im0003.ppm
Patches: 12
### Mask not applied.  im0235.ppm
Patches: 12
### Mask not applied.  im0139.ppm
Patches: 12
Training...
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\unet\__init__.py", line 52, in run
	epoch_run=trainer.epoch_ce_loss)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 84, in train
	epoch_run(epoch=epoch, data_loader=data_loader, logger=self.train_logger)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 221, in epoch_ce_loss
	for i, data in enumerate(kw['data_loader'], 1):
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 279, in __iter__
	return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 719, in __init__
	w.start()
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\process.py", line 112, in start
	self._popen = self._Popen(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 223, in _Popen
	return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 322, in _Popen
	return Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
	reduction.dump(process_obj, to_child)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\reduction.py", line 60, in dump
	ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x000002DA8D01B318>: attribute lookup <lambda> on testarch.unet.runs failed
### SPLIT FOUND:  data\STARE\splits\STARE_3.json Loaded
### Mask not applied.  im0324.ppm
### Mask not applied.  im0239.ppm
### Mask not applied.  im0240.ppm
### Mask not applied.  im0004.ppm
### Mask not applied.  im0002.ppm
### Mask not applied.  im0162.ppm
### Mask not applied.  im0291.ppm
### Mask not applied.  im0082.ppm
### Mask not applied.  im0077.ppm
### Mask not applied.  im0081.ppm
### Mask not applied.  im0236.ppm
### Mask not applied.  im0255.ppm
Patches: 144
### Mask not applied.  im0319.ppm
Patches: 12
### Mask not applied.  im0001.ppm
Patches: 12
### Mask not applied.  im0163.ppm
Patches: 12
### Mask not applied.  im0044.ppm
Patches: 12
Training...
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\unet\__init__.py", line 52, in run
	epoch_run=trainer.epoch_ce_loss)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 84, in train
	epoch_run(epoch=epoch, data_loader=data_loader, logger=self.train_logger)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 221, in epoch_ce_loss
	for i, data in enumerate(kw['data_loader'], 1):
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 279, in __iter__
	return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 719, in __init__
	w.start()
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\process.py", line 112, in start
	self._popen = self._Popen(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 223, in _Popen
	return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 322, in _Popen
	return Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
	reduction.dump(process_obj, to_child)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\reduction.py", line 60, in dump
	ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x000002DA8D01B318>: attribute lookup <lambda> on testarch.unet.runs failed
### SPLIT FOUND:  data\STARE\splits\STARE_4.json Loaded
Total Params: 1864322
Total Params: 31042434
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\spawn.py", line 105, in spawn_main
	exitcode = _main(fd)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\spawn.py", line 115, in _main
	self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
### Mask not applied.  im0002.ppm
### Mask not applied.  im0162.ppm
### Mask not applied.  im0291.ppm
### Mask not applied.  im0082.ppm
### Mask not applied.  im0077.ppm
### Mask not applied.  im0081.ppm
### Mask not applied.  im0236.ppm
### Mask not applied.  im0255.ppm
### Mask not applied.  im0005.ppm
### Mask not applied.  im0003.ppm
### Mask not applied.  im0235.ppm
### Mask not applied.  im0139.ppm
Patches: 144
### Mask not applied.  im0324.ppm
Patches: 12
### Mask not applied.  im0239.ppm
Patches: 12
### Mask not applied.  im0240.ppm
Patches: 12
### Mask not applied.  im0004.ppm
Patches: 12
Training...
[0, 0, 0, 0]
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\unet\__init__.py", line 52, in run
	epoch_run=trainer.epoch_ce_loss)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 84, in train
	epoch_run(epoch=epoch, data_loader=data_loader, logger=self.train_logger)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 221, in epoch_ce_loss
	for i, data in enumerate(kw['data_loader'], 1):
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 279, in __iter__
	return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 719, in __init__
	w.start()
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\process.py", line 112, in start
	self._popen = self._Popen(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 223, in _Popen
	return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 322, in _Popen
	return Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
	reduction.dump(process_obj, to_child)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\reduction.py", line 60, in dump
	ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x000002DA8D01B318>: attribute lookup <lambda> on testarch.unet.runs failed
### SPLIT FOUND:  data\STARE\splits\STARE_0.json Loaded
### Mask not applied.  im0077.ppm
Total Params: 1864322
### SPLIT FOUND:  data\STARE\splits\STARE_1.json Loaded
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\__init__.py", line 42, in run
	mode='train')
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\datagen.py", line 88, in get_loader
	gen = cls(conf=conf, images=images, transforms=transforms, shuffle_indices=True, mode=mode)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 29, in __init__
	self._load_indices()
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 35, in _load_indices
	img_obj = self._get_image_obj(img_file)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 60, in _get_image_obj
	self.unet_dir + sep + img_obj.file_name.split('.')[0] + self.input_image_ext, 1)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\utils\img_utils.py", line 186, in get_image_as_array
	img = IMG.open(image_file)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\PIL\Image.py", line 2809, in open
	fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'logs\\STARE\\UNET_1_100_1\\im0077.png'
### Mask not applied.  im0324.ppm
### SPLIT FOUND:  data\STARE\splits\STARE_2.json Loaded
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\__init__.py", line 42, in run
	mode='train')
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\datagen.py", line 88, in get_loader
	gen = cls(conf=conf, images=images, transforms=transforms, shuffle_indices=True, mode=mode)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 29, in __init__
	self._load_indices()
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 35, in _load_indices
	img_obj = self._get_image_obj(img_file)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 60, in _get_image_obj
	self.unet_dir + sep + img_obj.file_name.split('.')[0] + self.input_image_ext, 1)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\utils\img_utils.py", line 186, in get_image_as_array
	img = IMG.open(image_file)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\PIL\Image.py", line 2809, in open
	fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'logs\\STARE\\UNET_1_100_1\\im0324.png'
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\__init__.py", line 42, in run
	mode='train')
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\datagen.py", line 88, in get_loader
	gen = cls(conf=conf, images=images, transforms=transforms, shuffle_indices=True, mode=mode)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 29, in __init__
	self._load_indices()
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 35, in _load_indices
	img_obj = self._get_image_obj(img_file)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 60, in _get_image_obj
	self.unet_dir + sep + img_obj.file_name.split('.')[0] + self.input_image_ext, 1)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\utils\img_utils.py", line 186, in get_image_as_array
	img = IMG.open(image_file)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\PIL\Image.py", line 2809, in open
	fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'logs\\STARE\\UNET_1_100_1\\im0324.png'
### Mask not applied.  im0324.ppm
### SPLIT FOUND:  data\STARE\splits\STARE_3.json Loaded
### Mask not applied.  im0324.ppm
### SPLIT FOUND:  data\STARE\splits\STARE_4.json Loaded
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\__init__.py", line 42, in run
	mode='train')
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\datagen.py", line 88, in get_loader
	gen = cls(conf=conf, images=images, transforms=transforms, shuffle_indices=True, mode=mode)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 29, in __init__
	self._load_indices()
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 35, in _load_indices
	img_obj = self._get_image_obj(img_file)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 60, in _get_image_obj
	self.unet_dir + sep + img_obj.file_name.split('.')[0] + self.input_image_ext, 1)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\utils\img_utils.py", line 186, in get_image_as_array
	img = IMG.open(image_file)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\PIL\Image.py", line 2809, in open
	fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'logs\\STARE\\UNET_1_100_1\\im0324.png'
### Mask not applied.  im0002.ppm
[0, 0, 0, 0]
### SPLIT FOUND:  data\STARE\splits\STARE_0.json Loaded
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\__init__.py", line 42, in run
	mode='train')
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\datagen.py", line 88, in get_loader
	gen = cls(conf=conf, images=images, transforms=transforms, shuffle_indices=True, mode=mode)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 29, in __init__
	self._load_indices()
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 35, in _load_indices
	img_obj = self._get_image_obj(img_file)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\miniunet\miniunet_dataloader.py", line 60, in _get_image_obj
	self.unet_dir + sep + img_obj.file_name.split('.')[0] + self.input_image_ext, 1)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\utils\img_utils.py", line 186, in get_image_as_array
	img = IMG.open(image_file)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\PIL\Image.py", line 2809, in open
	fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'logs\\STARE\\UNET_1_100_1\\im0002.png'
Total Params: 31042434
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\spawn.py", line 105, in spawn_main
	exitcode = _main(fd)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\spawn.py", line 115, in _main
	self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
Total Params: 1864322
### Mask not applied.  im0077.ppm
### Mask not applied.  im0081.ppm
### Mask not applied.  im0236.ppm
### Mask not applied.  im0255.ppm
### Mask not applied.  im0005.ppm
### Mask not applied.  im0003.ppm
### Mask not applied.  im0235.ppm
### Mask not applied.  im0139.ppm
### Mask not applied.  im0319.ppm
### Mask not applied.  im0001.ppm
### Mask not applied.  im0163.ppm
### Mask not applied.  im0044.ppm
Patches: 144
### Mask not applied.  im0002.ppm
Patches: 12
### Mask not applied.  im0162.ppm
Patches: 12
### Mask not applied.  im0291.ppm
Patches: 12
### Mask not applied.  im0082.ppm
Patches: 12
Training...
Traceback (most recent call last):
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\testarch\unet\__init__.py", line 52, in run
	epoch_run=trainer.epoch_ce_loss)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 84, in train
	epoch_run(epoch=epoch, data_loader=data_loader, logger=self.train_logger)
  File "C:\Users\Cookie\Documents\GitKraken\deepdyn\torchtrainer\torchtrainer.py", line 221, in epoch_ce_loss
	for i, data in enumerate(kw['data_loader'], 1):
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 279, in __iter__
	return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\site-packages\torch\utils\data\dataloader.py", line 719, in __init__
	w.start()
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\process.py", line 112, in start
	self._popen = self._Popen(self)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 223, in _Popen
	return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\context.py", line 322, in _Popen
	return Popen(process_obj)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
	reduction.dump(process_obj, to_child)
  File "C:\Users\Cookie\Anaconda3\envs\deepdyn\lib\multiprocessing\reduction.py", line 60, in dump
	ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x000002DA8D01B318>: attribute lookup <lambda> on testarch.unet.runs failed
### SPLIT FOUND:  data\STARE\splits\STARE_1.json Loaded

Process finished with exit code -1

I get a lot of warnings regarding:

Mask not applied

That's probably not very good.
Furthermore I get a lot of pickle errors:

_pickle.PicklingError: Can't pickle <function at 0x000002DA8D01B318>: attribute lookup on testarch.unet.runs failed

Do you know why this could be happening?

Best,
Karol
@manvirvirk
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i m getting same error. Did you find any solution to it. Thanks

@Karol-G
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Karol-G commented Mar 21, 2020

No sadly not. But if you should happen to find one, than I would be glad to know :)

@sraashis
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sraashis commented Jun 6, 2020

Hi all,

Mask not applied is not an error. It is just a warning. As for the, Can't pickle <function at 0x000002DA8D01B318>: I think I know where it is coming from. I will take a look and fix it ASAP.
As for- No such file or directory: 'logs\STARE\UNET_1_100_1\..., I think this part is for mini-unet. Which means first we need to run U-net and then mini u-net because mini-unet picks up the output of U-net as its input. This can be configured in main.py.

Sorry for the late response.
Thanks,
AK

@sraashis
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sraashis commented Jun 6, 2020

Hi @Karol-G,
Can you please try again? I just fixed the bug and tested in my machine it is training well.
Thanks,
AK

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