B导求教：我可以训练，而且classes_path和model_path都改了，使用的voc权重进行训练，然后预测的时候使用了最后一次的权重，为什么还会报这个错误呀？
RuntimeError: Error(s) in loading state_dict for YoloBody:
size mismatch for yolo_head3.1.weight: copying a param with shape torch.Size([75, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([24, 256, 1, 1]).
size mismatch for yolo_head3.1.bias: copying a param with shape torch.Size([75]) from checkpoint, the shape in current model is torch.Size([24]).
size mismatch for yolo_head2.1.weight: copying a param with shape torch.Size([75, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([24, 512, 1, 1]).
size mismatch for yolo_head2.1.bias: copying a param with shape torch.Size([75]) from checkpoint, the shape in current model is torch.Size([24]).
size mismatch for yolo_head1.1.weight: copying a param with shape torch.Size([75, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([24, 1024, 1, 1]).
size mismatch for yolo_head1.1.bias: copying a param with shape torch.Size([75]) from checkpoint, the shape in current model is torch.Size([24]).
报错：
B导求教：我可以训练，而且classes_path和model_path都改了，使用的voc权重进行训练，然后预测的时候使用了最后一次的权重，为什么还会报这个错误呀？ RuntimeError: Error(s) in loading state_dict for YoloBody: size mismatch for yolo_head3.1.weight: copying a param with shape torch.Size([75, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([24, 256, 1, 1]). size mismatch for yolo_head3.1.bias: copying a param with shape torch.Size([75]) from checkpoint, the shape in current model is torch.Size([24]). size mismatch for yolo_head2.1.weight: copying a param with shape torch.Size([75, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([24, 512, 1, 1]). size mismatch for yolo_head2.1.bias: copying a param with shape torch.Size([75]) from checkpoint, the shape in current model is torch.Size([24]). size mismatch for yolo_head1.1.weight: copying a param with shape torch.Size([75, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([24, 1024, 1, 1]). size mismatch for yolo_head1.1.bias: copying a param with shape torch.Size([75]) from checkpoint, the shape in current model is torch.Size([24]).
报错：
