mmdetection的初学者，在使用faster-rcnn进行coco数据集和voc数据集测试的时候，均出现了The model and loaded state dict do not match exactly的问题。
The model and loaded state dict do not match exactly
size mismatch for roi_head.bbox_head.fc_cls.weight: copying a param with shape torch.Size([21, 1024]) from checkpoint, the shape in current model is torch.Size([2, 1024]).
size mismatch for roi_head.bbox_head.fc_cls.bias: copying a param with shape torch.Size([21]) from checkpoint, the shape in current model is torch.Size([2]).
size mismatch for roi_head.bbox_head.fc_reg.weight: copying a param with shape torch.Size([80, 1024]) from checkpoint, the shape in current model is torch.Size([4, 1024]).
size mismatch for roi_head.bbox_head.fc_reg.bias: copying a param with shape torch.Size([80]) from checkpoint, the shape in current model is torch.Size([4]).
completed: 0, elapsed: 0s
---------------iou_thr: 0.5---------------
Traceback (most recent call last):
File "tools/test.py", line 237, in <module>
main()
File "tools/test.py", line 229, in main
metric = dataset.evaluate(outputs, **eval_kwargs)
File "/home/ccf_disk/hzl/anaconda3/envs/mmlab/lib/python3.7/site-packages/mmdet/datasets/voc.py", line 85, in evaluate
use_legacy_coordinate=True)
File "/home/ccf_disk/hzl/anaconda3/envs/mmlab/lib/python3.7/site-packages/mmdet/core/evaluation/mean_ap.py", line 353, in eval_map
num_classes = len(det_results[0]) # positive class num
IndexError: list index out of range
(mmlab) huangzhenglin@lab317-PowerEdge-R940xa:/home/ccf_disk/hzl/mmdetection$
请问这是什么原因？感激不尽
