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i run python demo/demo.py --config-file configs/transfiner/mask_rcnn_R_50_FPN_1x.yaml --webcam --opts MODEL.WEIGHTS ./pretrained_model/output_1x_transfiner_r50.pth , but many errors occurred.
[07/20 21:26:09 fvcore.common.checkpoint]: [Checkpointer] Loading from ./pretrained_model/output_1x_transfiner_r50.pth ...
0it [00:00, ?it/s]C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\modeling\roi_heads\fast_rcnn.py:154: UserWarning: This overload of nonzero is deprecated:
nonzero()
Consider using one of the following signatures instead:
nonzero(*, bool as_tuple) (Triggered internally at ..\torch\csrc\utils\python_arg_parser.cpp:882.)
filter_inds = filter_mask.nonzero()
C:\software\Miniconda3\envs\transfiner\lib\site-packages\torch\nn\functional.py:3063: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\utils\video_visualizer.py:190: DeprecationWarning: np.bool is a deprecated alias for the builtin bool. To silence this warning, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
is_crowd = np.zeros((len(instances),), dtype=np.bool)
0it [00:04, ?it/s]
Traceback (most recent call last):
File "demo/demo.py", line 143, in
for vis in tqdm.tqdm(demo.run_on_video(cam)):
File "C:\software\Miniconda3\envs\transfiner\lib\site-packages\tqdm\std.py", line 1195, in iter
for obj in iterable:
File "C:\Users\hanji\Downloads\transfiner-main\demo\predictor.py", line 129, in run_on_video
yield process_predictions(frame, self.predictor(frame))
File "C:\Users\hanji\Downloads\transfiner-main\demo\predictor.py", line 98, in process_predictions
vis_frame = video_visualizer.draw_instance_predictions(frame, predictions)
File "C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\utils\video_visualizer.py", line 88, in draw_instance_predictions
colors = self._assign_colors(detected)
File "C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\utils\video_visualizer.py", line 233, in _assign_colors
inst.color = random_color(rgb=True, maximum=1)
TypeError: random_color() missing 1 required positional argument: 'ii'
after fix random_color() , other errors still occurred.
The text was updated successfully, but these errors were encountered:
i run
python demo/demo.py --config-file configs/transfiner/mask_rcnn_R_50_FPN_1x.yaml --webcam --opts MODEL.WEIGHTS ./pretrained_model/output_1x_transfiner_r50.pth
, but many errors occurred.[07/20 21:26:09 fvcore.common.checkpoint]: [Checkpointer] Loading from ./pretrained_model/output_1x_transfiner_r50.pth ...
0it [00:00, ?it/s]C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\modeling\roi_heads\fast_rcnn.py:154: UserWarning: This overload of nonzero is deprecated:
nonzero()
Consider using one of the following signatures instead:
nonzero(*, bool as_tuple) (Triggered internally at ..\torch\csrc\utils\python_arg_parser.cpp:882.)
filter_inds = filter_mask.nonzero()
C:\software\Miniconda3\envs\transfiner\lib\site-packages\torch\nn\functional.py:3063: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\utils\video_visualizer.py:190: DeprecationWarning:
np.bool
is a deprecated alias for the builtinbool
. To silence this warning, usebool
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.bool_
here.Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
is_crowd = np.zeros((len(instances),), dtype=np.bool)
0it [00:04, ?it/s]
Traceback (most recent call last):
File "demo/demo.py", line 143, in
for vis in tqdm.tqdm(demo.run_on_video(cam)):
File "C:\software\Miniconda3\envs\transfiner\lib\site-packages\tqdm\std.py", line 1195, in iter
for obj in iterable:
File "C:\Users\hanji\Downloads\transfiner-main\demo\predictor.py", line 129, in run_on_video
yield process_predictions(frame, self.predictor(frame))
File "C:\Users\hanji\Downloads\transfiner-main\demo\predictor.py", line 98, in process_predictions
vis_frame = video_visualizer.draw_instance_predictions(frame, predictions)
File "C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\utils\video_visualizer.py", line 88, in draw_instance_predictions
colors = self._assign_colors(detected)
File "C:\software\Miniconda3\envs\transfiner\lib\site-packages\detectron2-0.5-py3.7-win-amd64.egg\detectron2\utils\video_visualizer.py", line 233, in _assign_colors
inst.color = random_color(rgb=True, maximum=1)
TypeError: random_color() missing 1 required positional argument: 'ii'
after fix random_color() , other errors still occurred.
The text was updated successfully, but these errors were encountered: