Hello! Excuse me, what's the problem with this situation? How to solve it! thank you
size mismatch for detection._proposal_class.weight: copying a param with shape torch.Size([21, 2048]) from checkpoint, the shape in current model is torch.Size([6, 2048]).
size mismatch for detection._proposal_class.bias: copying a param with shape torch.Size([21]) from checkpoint, the shape in current model is torch.Size([6]).
size mismatch for detection._proposal_transformer.weight: copying a param with shape torch.Size([84, 2048]) from checkpoint, the shape in current model is torch.Size([24, 2048]).
size mismatch for detection._proposal_transformer.bias: copying a param with shape torch.Size([84]) from checkpoint, the shape in current model is torch.Size([24]).
Hello! Excuse me, what's the problem with this situation? How to solve it! thank you
size mismatch for detection._proposal_class.weight: copying a param with shape torch.Size([21, 2048]) from checkpoint, the shape in current model is torch.Size([6, 2048]). size mismatch for detection._proposal_class.bias: copying a param with shape torch.Size([21]) from checkpoint, the shape in current model is torch.Size([6]). size mismatch for detection._proposal_transformer.weight: copying a param with shape torch.Size([84, 2048]) from checkpoint, the shape in current model is torch.Size([24, 2048]). size mismatch for detection._proposal_transformer.bias: copying a param with shape torch.Size([84]) from checkpoint, the shape in current model is torch.Size([24]).