Fusing layers...
Model summary: 308 layers, 21041679 parameters, 0 gradients
Adding AutoShape...
Using NVIDIA GeForce RTX 2080.
Worker created
Blurrer started!
Traceback (most recent call last):
File "d:\Dashcam\D1\dashcamcleaner\src\qt_wrapper.py", line 70, in run
new_detections = self.detect_identifiable_information(frame_buffer)
File "d:\Dashcam\D1\dashcamcleaner\src\blurrer.py", line 137, in detect_identifiable_information
results_list = self.detector(images, size=scale).xyxy
File "D:\Dashcam\Anaconda\envs\P1\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, *kwargs)
File "D:\Dashcam\Anaconda\envs\P1\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(args, **kwargs)
File "C:\Users\heine/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 683, in forward
g = max(size) / max(s) # gain
TypeError: 'float' object is not iterable
Fusing layers... Model summary: 308 layers, 21041679 parameters, 0 gradients Adding AutoShape... Using NVIDIA GeForce RTX 2080. Worker created Blurrer started! Traceback (most recent call last): File "d:\Dashcam\D1\dashcamcleaner\src\qt_wrapper.py", line 70, in run new_detections = self.detect_identifiable_information(frame_buffer) File "d:\Dashcam\D1\dashcamcleaner\src\blurrer.py", line 137, in detect_identifiable_information results_list = self.detector(images, size=scale).xyxy File "D:\Dashcam\Anaconda\envs\P1\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl return forward_call(*input, *kwargs) File "D:\Dashcam\Anaconda\envs\P1\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(args, **kwargs) File "C:\Users\heine/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 683, in forward g = max(size) / max(s) # gain TypeError: 'float' object is not iterable