339 lines
33 KiB
Plaintext
339 lines
33 KiB
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nohup: ignoring input
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[37m[INFO][0m select pg_catalog.version() ([1mbase.py[0m:1853)
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[37m[INFO][0m [raw sql] {} ([1mbase.py[0m:1858)
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[37m[INFO][0m select current_schema() ([1mbase.py[0m:1853)
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[37m[INFO][0m [raw sql] {} ([1mbase.py[0m:1858)
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[37m[INFO][0m show standard_conforming_strings ([1mbase.py[0m:1853)
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[37m[INFO][0m [raw sql] {} ([1mbase.py[0m:1858)
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[37m[INFO][0m BEGIN (implicit) ([1mbase.py[0m:1027)
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[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)
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[37m[INFO][0m [generated in 0.00012s] {'name': 'sys_user'} ([1mbase.py[0m:1858)
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[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)
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[37m[INFO][0m [cached since 0.00606s ago] {'name': 'sys_role'} ([1mbase.py[0m:1858)
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[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)
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[37m[INFO][0m [cached since 0.009177s ago] {'name': 'rel_user_role'} ([1mbase.py[0m:1858)
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[37m[INFO][0m COMMIT ([1mbase.py[0m:1087)
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[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)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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/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.
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warnings.warn(
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/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`.
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warnings.warn(msg)
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/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.
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warnings.warn(
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/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`.
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warnings.warn(msg)
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Exception in thread Thread-1:
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Traceback (most recent call last):
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
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self.run()
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
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self._target(*self._args, **self._kwargs)
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
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train_tesk.StarTrain()
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
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_loop()
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
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data = func(*args, **kwargs)
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
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self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
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for images, targets in metric_logger.log_every(data_loader, print_freq, header):
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
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for obj in iterable:
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
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data = self._next_data()
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
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data = self._dataset_fetcher.fetch(index) # may raise StopIteration
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
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data = [self.dataset[idx] for idx in possibly_batched_index]
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
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data = [self.dataset[idx] for idx in possibly_batched_index]
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
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area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
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IndexError: too many indices for tensor of dimension 1
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[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)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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Exception in thread Thread-2:
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Traceback (most recent call last):
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
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self.run()
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
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self._target(*self._args, **self._kwargs)
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
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train_tesk.StarTrain()
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
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_loop()
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
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data = func(*args, **kwargs)
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
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self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
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for images, targets in metric_logger.log_every(data_loader, print_freq, header):
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
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for obj in iterable:
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
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data = self._next_data()
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
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data = self._dataset_fetcher.fetch(index) # may raise StopIteration
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
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data = [self.dataset[idx] for idx in possibly_batched_index]
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
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data = [self.dataset[idx] for idx in possibly_batched_index]
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File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
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area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
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IndexError: too many indices for tensor of dimension 1
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[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)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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|||
|
[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
|
|||
|
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
|
|||
|
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
|
|||
|
for obj in iterable:
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
|
|||
|
data = self._next_data()
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
|
|||
|
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
|
|||
|
data = [self.dataset[idx] for idx in possibly_batched_index]
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
|
|||
|
data = [self.dataset[idx] for idx in possibly_batched_index]
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
|
|||
|
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
|
|||
|
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
|
|||
|
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
|
|||
|
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
|
|||
|
for obj in iterable:
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
|
|||
|
data = self._next_data()
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
|
|||
|
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
|
|||
|
data = [self.dataset[idx] for idx in possibly_batched_index]
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
|
|||
|
data = [self.dataset[idx] for idx in possibly_batched_index]
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
|
|||
|
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
|
|||
|
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)
|
|||
|
CUDA is available!
|
|||
|
cuda
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_26.json
|
|||
|
Polygon must have points more than 2
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_5.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_38.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_23.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_46.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_17.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_14.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_30.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_42.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_22.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_13.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_11.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_51.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_0.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_27.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_8.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_1.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_4.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_10.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_12.json
|
|||
|
None
|
|||
|
cuda
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_26.json
|
|||
|
Polygon must have points more than 2
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_5.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_38.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_23.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_46.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_17.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_14.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_30.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_42.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_22.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_13.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_11.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_51.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_0.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_27.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_8.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_1.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_4.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_10.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_12.json
|
|||
|
cuda
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_5.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_38.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_23.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_46.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_17.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_14.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_30.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_42.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_22.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_13.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_11.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_51.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_0.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_27.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_8.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_1.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_4.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_10.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_12.json
|
|||
|
cuda
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_5.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_23.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_46.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_14.json
|
|||
|
Polygon must have points more than 2
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_55.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_30.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_77.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_67.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_11.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_0.json
|
|||
|
cuda
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_5.json
|
|||
|
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_23.json
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/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_46.json
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[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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|
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
|
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|
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
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|
[37m[INFO][0m Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks ([1mlabelme2VOCSeg_aicheckFrom.py[0m:97)
|
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|
[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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|
Exception in thread Thread-5:
|
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|
Traceback (most recent call last):
|
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|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
|
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|
self.run()
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File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
|
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|
self._target(*self._args, **self._kwargs)
|
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|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
|
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|
train_tesk.StarTrain()
|
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|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
|
|||
|
_loop()
|
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|
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
|
|||
|
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
|
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|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
|
|||
|
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
|
|||
|
for obj in iterable:
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
|
|||
|
data = self._next_data()
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
|
|||
|
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
|
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|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
|
|||
|
data = [self.dataset[idx] for idx in possibly_batched_index]
|
|||
|
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
|
|||
|
data = [self.dataset[idx] for idx in possibly_batched_index]
|
|||
|
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
|
|||
|
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
|
|||
|
IndexError: too many indices for tensor of dimension 1
|