运行SSD predict_test.py 出现出现错误

[woshidamow5534]

Traceback (most recent call last):
File "F:\yolov8_change\deep-learning-for-image-processing-master\pytorch_object_detection\ssd\predict_test.py", line 98, in
main()
File "F:\yolov8_change\deep-learning-for-image-processing-master\pytorch_object_detection\ssd\predict_test.py", line 40, in main
model.load_state_dict(weights_dict,strict=False)
File "F:\DL\anaconda\anaconda3\Lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for SSD300:
size mismatch for conf.0.weight: copying a param with shape torch.Size([36, 1024, 3, 3]) from checkpoint, the shape in current model is torch.Size([84, 1024, 3, 3]).
size mismatch for conf.0.bias: copying a param with shape torch.Size([36]) from checkpoint, the shape in current model is torch.Size([84]).
size mismatch for conf.1.weight: copying a param with shape torch.Size([54, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([126, 512, 3, 3]).
size mismatch for conf.1.bias: copying a param with shape torch.Size([54]) from checkpoint, the shape in current model is torch.Size([126]).
size mismatch for conf.2.weight: copying a param with shape torch.Size([54, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([126, 512, 3, 3]).
size mismatch for conf.2.bias: copying a param with shape torch.Size([54]) from checkpoint, the shape in current model is torch.Size([126]).
size mismatch for conf.3.weight: copying a param with shape torch.Size([54, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([126, 256, 3, 3]).
size mismatch for conf.3.bias: copying a param with shape torch.Size([54]) from checkpoint, the shape in current model is torch.Size([126]).
size mismatch for conf.4.weight: copying a param with shape torch.Size([36, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([84, 256, 3, 3]).
size mismatch for conf.4.bias: copying a param with shape torch.Size([36]) from checkpoint, the shape in current model is torch.Size([84]).
size mismatch for conf.5.weight: copying a param with shape torch.Size([36, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([84, 256, 3, 3]).
size mismatch for conf.5.bias: copying a param with shape torch.Size([36]) from checkpoint, the shape in current model is torch.Size([84]).