Comments (1)
Hi, thanks for sharing the great work.
I have a problem when I run the following command to predict with the pre-trained marginal prediction mode densetnt.raster.vehicle.1.zip here https://github.com/Tsinghua-MARS-Lab/M2I#marginal-trajectory-prediction. It seems like the parameter setting between the pre-trained model and script are different.
_RuntimeError: Error(s) in loading state_dict for VectorNet:
size mismatch for decoder.goals_2D_decoder.mlp.linear.weight: copying a param with shape torch.Size([128, 384]) from checkpoint, the shape in current model is torch.Size([128, 512]).
size mismatch for decoder.goals_2D_decoder.fc.weight: copying a param with shape torch.Size([1, 512]) from checkpoint, the shape in current model is torch.Size([1, 640])._
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Related Issues (18)
- Look forward to releasing the code HOT 2
- CUDA out of memory error HOT 2
- difference between 'influencer' and 'dominant' HOT 1
- Relation Prediction produces error after process 23%, with low rate of label2 HOT 4
- How to get your training data๏ผ HOT 1
- can't find your prediction results or your pre-trained models from Google Drive HOT 2
- Haven't got permissions yet HOT 1
- Marginal trajectory prediction error. HOT 3
- Error at evaluation step2 and step3 HOT 1
- There are doubts about the function utils_cython.get_normalized
- What is the input for relation predictor? HOT 1
- relation.yaml HOT 1
- About interpolating missing trajectories HOT 1
- Missing Files in Google Drive HOT 9
- Assertion Error when Training Relation Predictor HOT 1
- evaluate the conditional prediction result
- Changing hidden size leads to runtime error
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