Traceback (most recent call last):
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/track.py", line 346, in
detect(opt)
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/track.py", line 138, in detect
pred = model(img, augment=opt.augment, visualize=visualize)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/yolov5/models/common.py", line 384, in forward
y = self.model(im) if self.jit else self.model(im, augment=augment, visualize=visualize)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, *kwargs)
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/./yolov5/models/yolo.py", line 126, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/./yolov5/models/yolo.py", line 149, in _forward_once
x = m(x) # run
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/upsampling.py", line 157, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1614, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'
Traceback (most recent call last): File "/content/Yolov5_DeepSort_Pytorch_lane_detection/track.py", line 346, in
detect(opt)
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/track.py", line 138, in detect
pred = model(img, augment=opt.augment, visualize=visualize)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/yolov5/models/common.py", line 384, in forward
y = self.model(im) if self.jit else self.model(im, augment=augment, visualize=visualize)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, *kwargs)
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/./yolov5/models/yolo.py", line 126, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "/content/Yolov5_DeepSort_Pytorch_lane_detection/./yolov5/models/yolo.py", line 149, in _forward_once
x = m(x) # run
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/upsampling.py", line 157, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1614, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'