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sraashis / deepdyn

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full
MIT License
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Mask not applied & PicklingError #247

Open Karol-G opened 4 years ago

Karol-G commented 4 years ago

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 at 0x000002DA8D01B318>: attribute lookup 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 at 0x000002DA8D01B318>: attribute lookup 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 at 0x000002DA8D01B318>: attribute lookup 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 at 0x000002DA8D01B318>: attribute lookup 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 "", line 1, in 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 at 0x000002DA8D01B318>: attribute lookup 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 "", line 1, in 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 at 0x000002DA8D01B318>: attribute lookup 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 commented 4 years ago

i m getting same error. Did you find any solution to it. Thanks

Karol-G commented 4 years ago

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

sraashis commented 4 years ago

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 commented 4 years ago

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