b导， 最近刚git的yolov5和这个yolov7tiny都出现了训练和验证权值不匹配的情况

[DrizzleSh]

使用数据集训练之后保存权值到log文件夹中，随后将权值的路径复制到yolo.py的model_path中，再使用get_map.py计算map，在该阶段出现权值不匹配问题。
RuntimeError: Error(s) in loading state_dict for YoloBody:
size mismatch for yolo_head_P3.weight: copying a param with shape torch.Size([1071, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([255, 128, 1, 1]).
size mismatch for yolo_head_P3.bias: copying a param with shape torch.Size([1071]) from checkpoint, the shape in current model is torch.Size([255]).
size mismatch for yolo_head_P4.weight: copying a param with shape torch.Size([1071, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([255, 256, 1, 1]).
size mismatch for yolo_head_P4.bias: copying a param with shape torch.Size([1071]) from checkpoint, the shape in current model is torch.Size([255]).
size mismatch for yolo_head_P5.weight: copying a param with shape torch.Size([1071, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([255, 512, 1, 1]).
size mismatch for yolo_head_P5.bias: copying a param with shape torch.Size([1071]) from checkpoint, the shape in current model is torch.Size([255]).