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(FairMOTm) C:\Users\Administrator\clone\FairMOT\src>python demo.py mot --load_model ../models/fairmot_dla34.pth --conf_thres 0.4
Fix size testing.
training chunk_sizes: [6, 6]
The output will be saved to C:\Users\Administrator\clone\FairMOT\src\lib....\exp\mot\default
heads {'hm': 1, 'wh': 4, 'id': 128, 'reg': 2}
2023-03-19 16:32:56 [INFO]: Starting tracking...
Lenth of the video: 1500 frames
Creating model...
Traceback (most recent call last):
File "demo.py", line 43, in
demo(opt)
File "demo.py", line 30, in demo
eval_seq(opt, dataloader, 'mot', result_filename,
File "C:\Users\Administrator\clone\FairMOT\src\track.py", line 73, in eval_seq
tracker = JDETracker(opt, frame_rate=frame_rate)
File "C:\Users\Administrator\clone\FairMOT\src\lib\tracker\multitracker.py", line 179, in init
self.model = create_model(opt.arch, opt.heads, opt.head_conv)
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\model.py", line 32, in create_model
model = get_model(num_layers=num_layers, heads=heads, head_conv=head_conv)
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 486, in get_pose_net
model = DLASeg('dla{}'.format(num_layers), heads,
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 434, in init
self.base = globals()base_name
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 314, in dla34
model.load_pretrained_model(data='imagenet', name='dla34', hash='ba72cf86')
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 300, in load_pretrained_model
model_weights = model_zoo.load_url(model_url)
File "D:\ANACONDA\envs\FairMOTm\lib\site-packages\torch\hub.py", line 559, in load_state_dict_from_url
return torch.load(cached_file, map_location=map_location)
File "D:\ANACONDA\envs\FairMOTm\lib\site-packages\torch\serialization.py", line 595, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "D:\ANACONDA\envs\FairMOTm\lib\site-packages\torch\serialization.py", line 781, in _legacy_load
deserialized_objects[key]._set_from_file(f, offset, f_should_read_directly)
RuntimeError: read(): fd 3 failed with Permission denied
i wonder how to fix it
The text was updated successfully, but these errors were encountered:
(FairMOTm) C:\Users\Administrator\clone\FairMOT\src>python demo.py mot --load_model ../models/fairmot_dla34.pth --conf_thres 0.4
Fix size testing.
training chunk_sizes: [6, 6]
The output will be saved to C:\Users\Administrator\clone\FairMOT\src\lib....\exp\mot\default
heads {'hm': 1, 'wh': 4, 'id': 128, 'reg': 2}
2023-03-19 16:32:56 [INFO]: Starting tracking...
Lenth of the video: 1500 frames
Creating model...
Traceback (most recent call last):
File "demo.py", line 43, in
demo(opt)
File "demo.py", line 30, in demo
eval_seq(opt, dataloader, 'mot', result_filename,
File "C:\Users\Administrator\clone\FairMOT\src\track.py", line 73, in eval_seq
tracker = JDETracker(opt, frame_rate=frame_rate)
File "C:\Users\Administrator\clone\FairMOT\src\lib\tracker\multitracker.py", line 179, in init
self.model = create_model(opt.arch, opt.heads, opt.head_conv)
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\model.py", line 32, in create_model
model = get_model(num_layers=num_layers, heads=heads, head_conv=head_conv)
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 486, in get_pose_net
model = DLASeg('dla{}'.format(num_layers), heads,
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 434, in init
self.base = globals()base_name
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 314, in dla34
model.load_pretrained_model(data='imagenet', name='dla34', hash='ba72cf86')
File "C:\Users\Administrator\clone\FairMOT\src\lib\models\networks\pose_dla_dcn.py", line 300, in load_pretrained_model
model_weights = model_zoo.load_url(model_url)
File "D:\ANACONDA\envs\FairMOTm\lib\site-packages\torch\hub.py", line 559, in load_state_dict_from_url
return torch.load(cached_file, map_location=map_location)
File "D:\ANACONDA\envs\FairMOTm\lib\site-packages\torch\serialization.py", line 595, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "D:\ANACONDA\envs\FairMOTm\lib\site-packages\torch\serialization.py", line 781, in _legacy_load
deserialized_objects[key]._set_from_file(f, offset, f_should_read_directly)
RuntimeError: read(): fd 3 failed with Permission denied
i wonder how to fix it
The text was updated successfully, but these errors were encountered: