刚刚参照白老师YOLOv6目标检测实战视频中的方式，执行命令python tools/infer.py --weights weights/yolov6s.pt --source data/images后出现以下报错。怎样解决
(mypytorch) D:\projects\GitHub\yolov6\YOLOv6>python tools/infer.py --weights weights/yolov6s.pt --source data/images
Namespace(agnostic_nms=False, classes=None, conf_thres=0.4, device='0', half=False, hide_conf=False, hide_labels=False, img_size=[640, 640], iou_thres=0.45, max_det=1000, name='exp', project='runs/inference', save_dir=None, save_img=True, save_txt=False, source='data/images', view_img=False, weights='weights/yolov6s.pt', yaml='data/coco.yaml')
Save directory already existed
Loading checkpoint from weights/yolov6s.pt
Fusing model...
Switch model to deploy modality.
Traceback (most recent call last):
File "tools/infer.py", line 116, in <module>
main(args)
File "tools/infer.py", line 111, in main
run(**vars(args))
File "D:\ProgramFiles\Anaconda3\envs\mypytorch\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "tools/infer.py", line 103, in run
inferer = Inferer(source, weights, device, yaml, img_size, half)
File "D:\projects\GitHub\yolov6\YOLOv6\yolov6\core\inferer.py", line 50, in __init__
self.model(torch.zeros(1, 3, *self.img_size).to(self.device).type_as(next(self.model.model.parameters()))) # warmup
File "D:\ProgramFiles\Anaconda3\envs\mypytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\projects\GitHub\yolov6\YOLOv6\yolov6\layers\common.py", line 360, in forward
y, _ = self.model(im)
File "D:\ProgramFiles\Anaconda3\envs\mypytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\projects\GitHub\yolov6\YOLOv6\yolov6\models\yolo.py", line 44, in forward
x = self.detect(x)
File "D:\ProgramFiles\Anaconda3\envs\mypytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\projects\GitHub\yolov6\YOLOv6\yolov6\models\effidehead.py", line 101, in forward
x, self.stride, self.grid_cell_size, self.grid_cell_offset, device=x[0].device, is_eval=True)
File "D:\ProgramFiles\Anaconda3\envs\mypytorch\lib\site-packages\torch\nn\modules\module.py", line 1207, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Detect' object has no attribute 'grid_cell_size'
