Whenever I try to run demo, I am having an issue. Could you help me with this? I would be appreciated.
The Error message is:
__RuntimeError: Error(s) in loading state_dict for SSD:
size mismatch for classification_headers.0.3.weight: copying a param with shape torch.Size([126, 288, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 288, 1, 1]).
size mismatch for classification_headers.0.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for classification_headers.1.3.weight: copying a param with shape torch.Size([126, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 1280, 1, 1]).
size mismatch for classification_headers.1.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for classification_headers.2.3.weight: copying a param with shape torch.Size([126, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 512, 1, 1]).
size mismatch for classification_headers.2.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for classification_headers.3.3.weight: copying a param with shape torch.Size([126, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 256, 1, 1]).
size mismatch for classification_headers.3.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for classification_headers.4.3.weight: copying a param with shape torch.Size([126, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 256, 1, 1]).
size mismatch for classification_headers.4.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).
size mismatch for classification_headers.5.weight: copying a param with shape torch.Size([126, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 64, 1, 1]).
size mismatch for classification_headers.5.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).__
Hello,
Whenever I try to run demo, I am having an issue. Could you help me with this? I would be appreciated.
The Error message is:
__RuntimeError: Error(s) in loading state_dict for SSD: size mismatch for classification_headers.0.3.weight: copying a param with shape torch.Size([126, 288, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 288, 1, 1]). size mismatch for classification_headers.0.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for classification_headers.1.3.weight: copying a param with shape torch.Size([126, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 1280, 1, 1]). size mismatch for classification_headers.1.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for classification_headers.2.3.weight: copying a param with shape torch.Size([126, 512, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 512, 1, 1]). size mismatch for classification_headers.2.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for classification_headers.3.3.weight: copying a param with shape torch.Size([126, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 256, 1, 1]). size mismatch for classification_headers.3.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for classification_headers.4.3.weight: copying a param with shape torch.Size([126, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 256, 1, 1]). size mismatch for classification_headers.4.3.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]). size mismatch for classification_headers.5.weight: copying a param with shape torch.Size([126, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 64, 1, 1]). size mismatch for classification_headers.5.bias: copying a param with shape torch.Size([126]) from checkpoint, the shape in current model is torch.Size([18]).__