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RuntimeError: Error(s) in loading state_dict for PointRCNN:
size mismatch for rpn.backbone_net.SA_modules.0.mlps.0.layer0.conv.weight: copying a param with shape torch.Size([16, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([16, 4, 1,1])
size mismatch for rpn.backbone_net.SA_modules.0.mlps.1.layer0.conv.weight: copying a param with shape torch.Size([32, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 4, 1, 1]).
size mismatch for rpn.backbone_net.FP_modules.0.mlp.layer0.conv.weight: copying a param with shape torch.Size([128, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 257, 1, 1]).
The text was updated successfully, but these errors were encountered:
@gehadza@WakyWakyWayne Hello, I'm having the same problem and asked gpt about it saying it's due to a mismatch between the checkpoints and the model. You talk about changing use_intensity=false but I don't know where to change the value. By the way, if I retrain the model and run ros with the trained model, will it solve the problem? Any advice would be greatly appreciated!
RuntimeError: Error(s) in loading state_dict for PointRCNN:
size mismatch for rpn.backbone_net.SA_modules.0.mlps.0.layer0.conv.weight: copying a param with shape torch.Size([16, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([16, 4, 1,1])
size mismatch for rpn.backbone_net.SA_modules.0.mlps.1.layer0.conv.weight: copying a param with shape torch.Size([32, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 4, 1, 1]).
size mismatch for rpn.backbone_net.FP_modules.0.mlp.layer0.conv.weight: copying a param with shape torch.Size([128, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 257, 1, 1]).
The text was updated successfully, but these errors were encountered: