RuntimeError: Error(s) in loading state_dict for Model:
size mismatch for head.m.0.weight: copying a param with shape torch.Size([255, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 256, 1, 1]).
size mismatch for head.m.0.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for head.m.1.weight: copying a param with shape torch.Size([255, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 512, 1, 1]).
size mismatch for head.m.1.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for head.m.2.weight: copying a param with shape torch.Size([255, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 1024, 1, 1]).
size mismatch for head.m.2.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([18]).
RuntimeError: Error(s) in loading state_dict for Model: size mismatch for head.m.0.weight: copying a param with shape torch.Size([255, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 256, 1, 1]). size mismatch for head.m.0.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for head.m.1.weight: copying a param with shape torch.Size([255, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 512, 1, 1]). size mismatch for head.m.1.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for head.m.2.weight: copying a param with shape torch.Size([255, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 1024, 1, 1]). size mismatch for head.m.2.bias: copying a param with shape torch.Size([255]) from checkpoint, the shape in current model is torch.Size([18]).
你好，在issue中看到类似的问题，方法是在train_ssod文件的ema添加代码，已经尝试但没有用，请问是否还有其他解决方法，谢谢！