YOLOv5 报错怎么解决
作者:互联网
Traceback (most recent call last):
File "E:\yolo\yolov5-5.0\yolov5-5.0\detect.py", line 178, in <module>
detect()
File "E:\yolo\yolov5-5.0\yolov5-5.0\detect.py", line 72, in detect
pred = model(img, augment=opt.augment)[0]
File "D:\python\anaconda\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "E:\yolo\yolov5-5.0\yolov5-5.0\models\yolo.py", line 123, in forward
return self.forward_once(x, profile) # single-scale inference, train
File "E:\yolo\yolov5-5.0\yolov5-5.0\models\yolo.py", line 139, in forward_once
x = m(x) # run
File "D:\python\anaconda\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "D:\python\anaconda\lib\site-packages\torch\nn\modules\upsampling.py", line 154, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "D:\python\anaconda\lib\site-packages\torch\nn\modules\module.py", line 1185, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'
标签:5.0,YOLOv5,yolo,py,yolov5,报错,File,解决,line 来源: https://blog.csdn.net/weixin_44233647/article/details/123422008