[37m[INFO][0m show standard_conforming_strings ([1mbase.py[0m:1853)
[37m[INFO][0m [raw sql] {} ([1mbase.py[0m:1858)
[37m[INFO][0m BEGIN (implicit) ([1mbase.py[0m:1027)
[37m[INFO][0m select relname from pg_class c join pg_namespace n on n.oid=c.relnamespace where pg_catalog.pg_table_is_visible(c.oid) and relname=%(name)s ([1mbase.py[0m:1853)
[37m[INFO][0m [generated in 0.00012s] {'name': 'sys_user'} ([1mbase.py[0m:1858)
[37m[INFO][0m select relname from pg_class c join pg_namespace n on n.oid=c.relnamespace where pg_catalog.pg_table_is_visible(c.oid) and relname=%(name)s ([1mbase.py[0m:1853)
[37m[INFO][0m [cached since 0.00606s ago] {'name': 'sys_role'} ([1mbase.py[0m:1858)
[37m[INFO][0m select relname from pg_class c join pg_namespace n on n.oid=c.relnamespace where pg_catalog.pg_table_is_visible(c.oid) and relname=%(name)s ([1mbase.py[0m:1853)
[37m[INFO][0m [cached since 0.009177s ago] {'name': 'rel_user_role'} ([1mbase.py[0m:1858)
[37m[INFO][0m COMMIT ([1mbase.py[0m:1087)
[33m[WARNING][0m This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. ([1mlabelme2VOCSeg_aicheckFrom.py[0m:101)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
warnings.warn(msg)
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained_backbone' is deprecated since 0.13 and may be removed in the future, please use 'weights_backbone' instead.
warnings.warn(
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights_backbone' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights_backbone=None`.
warnings.warn(msg)
Exception in thread Thread-1:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
IndexError: too many indices for tensor of dimension 1
[33m[WARNING][0m This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. ([1mlabelme2VOCSeg_aicheckFrom.py[0m:101)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
Exception in thread Thread-2:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
IndexError: too many indices for tensor of dimension 1
[33m[WARNING][0m This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. ([1mlabelme2VOCSeg_aicheckFrom.py[0m:101)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
Exception in thread Thread-3:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
IndexError: too many indices for tensor of dimension 1
[33m[WARNING][0m This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. ([1mlabelme2VOCSeg_aicheckFrom.py[0m:101)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
Exception in thread Thread-4:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
IndexError: too many indices for tensor of dimension 1
[33m[WARNING][0m This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. ([1mlabelme2VOCSeg_aicheckFrom.py[0m:101)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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