Hey, first, i have no clue in programming. I just found a video with a tutorial how to install DCC.
The GUI is loading now and my first try ended in the "TypeError: unsupported operand type(s) for /: 'tuple' and 'int'" error.
As you mentioned in the other issue, i deleted the ".cache/torch" folder. But now i receive the following error:
Blurrer started!
Traceback (most recent call last):
File "D:\Dashcam Shit\DashcamCleaner\dashcamcleaner\src\qt_wrapper.py", line 74, in run
new_detections = self.detect_identifiable_information(frame_buffer)
File "D:\Dashcam Shit\DashcamCleaner\dashcamcleaner\src\blurrer.py", line 39, in detect_identifiable_information
results_list = self.detector(images, size=(scale,)).xyxy
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 704, in forward
y = self.model(x, augment=augment) # forward
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 514, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 167, in forward
return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1))
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 59, in forward_fuse
return self.act(self.conv(x))
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 399, in forward
return self._conv_forward(input, self.weight, self.bias)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 395, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: CUDA out of memory. Tried to allocate 10.58 GiB (GPU 0; 24.00 GiB total capacity; 1.76 GiB already allocated; 19.60 GiB free; 1.96 GiB reserved in total by PyTorch)
And i have really no idea XD
Hope you can help. Thank you!
Hey, first, i have no clue in programming. I just found a video with a tutorial how to install DCC.
The GUI is loading now and my first try ended in the "TypeError: unsupported operand type(s) for /: 'tuple' and 'int'" error.
As you mentioned in the other issue, i deleted the ".cache/torch" folder. But now i receive the following error:
Blurrer started!
Traceback (most recent call last):
File "D:\Dashcam Shit\DashcamCleaner\dashcamcleaner\src\qt_wrapper.py", line 74, in run
new_detections = self.detect_identifiable_information(frame_buffer)
File "D:\Dashcam Shit\DashcamCleaner\dashcamcleaner\src\blurrer.py", line 39, in detect_identifiable_information
results_list = self.detector(images, size=(scale,)).xyxy
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 704, in forward
y = self.model(x, augment=augment) # forward
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 514, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 121, in _forward_once
x = m(x) # run
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 167, in forward
return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1))
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "C:\Users\spams/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 59, in forward_fuse
return self.act(self.conv(x))
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 399, in forward
return self._conv_forward(input, self.weight, self.bias)
File "D:\Dashcam Shit\Anaconda\envs\py38\lib\site-packages\torch\nn\modules\conv.py", line 395, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: CUDA out of memory. Tried to allocate 10.58 GiB (GPU 0; 24.00 GiB total capacity; 1.76 GiB already allocated; 19.60 GiB free; 1.96 GiB reserved in total by PyTorch)
And i have really no idea XD
Hope you can help. Thank you!