使用提供的预训练模型进行文本检测出错

[ZZHHogan]

RuntimeError: Error(s) in loading state_dict for ResNet:
Missing key(s) in state_dict: "conv1.0.conv.weight", "conv1.0.bn.weight", "conv1.0.bn.bias", "conv1.0.bn.running_mean", "conv1.0.bn.running_var", "conv1.1.conv.weight", "conv1.1.bn.weight", "conv1.1.bn.bias", "conv1.1.bn.running_mean", "conv1.1.bn.running_var", "conv1.2.conv.weight", "conv1.2.bn.weight", "conv1.2.bn.bias", "conv1.2.bn.running_mean", "conv1.2.bn.running_var", "stages.0.0.conv0.conv.weight", "stages.0.0.conv0.bn.weight", "stages.0.0.conv0.bn.bias", "stages.0.0.conv0.bn.running_mean", "stages.0.0.conv0.bn.running_var", "stages.0.0.conv1.conv.weight", "stages.0.0.conv1.bn.weight", "stages.0.0.conv1.bn.bias", "stages.0.0.conv1.bn.running_mean", "stages.0.0.conv1.bn.running_var", "stages.0.0.shortcut.conv.conv.weight", "stages.0.0.shortcut.conv.bn.weight", "stages.0.0.shortcut.conv.bn.bias", "stages.0.0.shortcut.conv.bn.running_mean", "stages.0.0.shortcut.conv.bn.running_var", "stages.0.1.conv0.conv.weight", "stages.0.1.conv0.bn.weight", "stages.0.1.conv0.bn.bias", "stages.0.1.conv0.bn.running_mean", "stages.0.1.conv0.bn.running_var", "stages.0.1.conv1.conv.weight", "stages.0.1.conv1.bn.weight", "stages.0.1.conv1.bn.bias", "stages.0.1.conv1.bn.running_mean", "stages.0.1.conv1.bn.running_var", "stages.1.0.conv0.conv.weight", "stages.1.0.conv0.bn.weight", "stages.1.0.conv0.bn.bias", "stages.1.0.conv0.bn.running_mean", "stages.1.0.conv0.bn.running_var", "stages.1.0.conv1.conv.weight", "stages.1.0.conv1.bn.weight", "stages.1.0.conv1.bn.bias", "stages.1.0.conv1.bn.running_mean", "stages.1.0.conv1.bn.running_var", "stages.1.0.shortcut.conv.conv.weight", "stages.1.0.shortcut.conv.bn.weight", "stages.1.0.shortcut.conv.bn.bias", "stages.1.0.shortcut.conv.bn.running_mean", "stages.1.0.shortcut.conv.bn.running_var", "stages.1.1.conv0.conv.weight", "stages.1.1.conv0.bn.weight", "stages.1.1.conv0.bn.bias", "stages.1.1.conv0.bn.running_mean", "stages.1.1.conv0.bn.running_var", "stages.1.1.conv1.conv.weight", "stages.1.1.conv1.bn.weight", "stages.1.1.conv1.bn.bias", "stages.1.1.conv1.bn.running_mean", "stages.1.1.conv1.bn.running_var", "stages.2.0.conv0.conv.weight", "stages.2.0.conv0.bn.weight", "stages.2.0.conv0.bn.bias", "stages.2.0.conv0.bn.running_mean", "stages.2.0.conv0.bn.running_var", "stages.2.0.conv1.conv.weight", "stages.2.0.conv1.bn.weight", "stages.2.0.conv1.bn.bias", "stages.2.0.conv1.bn.running_mean", "stages.2.0.conv1.bn.running_var", "stages.2.0.shortcut.conv.conv.weight", "stages.2.0.shortcut.conv.bn.weight", "stages.2.0.shortcut.conv.bn.bias", "stages.2.0.shortcut.conv.bn.running_mean", "stages.2.0.shortcut.conv.bn.running_var", "stages.2.1.conv0.conv.weight", "stages.2.1.conv0.bn.weight", "stages.2.1.conv0.bn.bias", "stages.2.1.conv0.bn.running_mean", "stages.2.1.conv0.bn.running_var", "stages.2.1.conv1.conv.weight", "stages.2.1.conv1.bn.weight", "stages.2.1.conv1.bn.bias", "stages.2.1.conv1.bn.running_mean", "stages.2.1.conv1.bn.running_var", "stages.3.0.conv0.conv.weight", "stages.3.0.conv0.bn.weight", "stages.3.0.conv0.bn.bias", "stages.3.0.conv0.bn.running_mean", "stages.3.0.conv0.bn.running_var", "stages.3.0.conv1.conv.weight", "stages.3.0.conv1.bn.weight", "stages.3.0.conv1.bn.bias", "stages.3.0.conv1.bn.running_mean", "stages.3.0.conv1.bn.running_var", "stages.3.0.shortcut.conv.conv.weight", "stages.3.0.shortcut.conv.bn.weight", "stages.3.0.shortcut.conv.bn.bias", "stages.3.0.shortcut.conv.bn.running_mean", "stages.3.0.shortcut.conv.bn.running_var", "stages.3.1.conv0.conv.weight", "stages.3.1.conv0.bn.weight", "stages.3.1.conv0.bn.bias", "stages.3.1.conv0.bn.running_mean", "stages.3.1.conv0.bn.running_var", "stages.3.1.conv1.conv.weight", "stages.3.1.conv1.bn.weight", "stages.3.1.conv1.bn.bias", "stages.3.1.conv1.bn.running_mean", "stages.3.1.conv1.bn.running_var".
Unexpected key(s) in state_dict: "cfg", "state_dict".

请问怎么解决呢，使用的预训练模型是resnet18、resnet50都试过

[Tao Luo]

在state_dict里面。。。走点心好吧。。。

[ZZHHogan]

在state_dict里面。。。走点心好吧。。。

确实，大佬解决了。。。。