Comments (1)
Hi,
We have updated the new data link. We trained the goal sampling network by ourselves. You can see details of the goal sampling network in our supplementary material. The goal sampling network is similar to the goal prediction network in Y-net, so we donβt provide the relevant code. We intend to release models of ETH/UCY later.
from human-trajectory-prediction-via-neural-social-physics.
Related Issues (20)
- Question about supplement tensor in the 24th line of train_nsp_wo.py HOT 1
- How was `goals_Ynet.pickle` generated? HOT 2
- Question about the total number of SDD train and test datasets HOT 1
- Question about calculating the inter-agent replusion HOT 9
- Doubt in data preparation part and dividing into train and test data part HOT 1
- Training data, the pretrained model, and train script for ETH/UCY dataset.
- Doubt in the testing methodology HOT 1
- Question about ETH/UCY
- An error repeats when I try to train the model HOT 1
- Question about test in train_nsp_w.py HOT 1
- Online application HOT 2
- How is the semantic mask generated? HOT 2
- Standard and Ultra sampling HOT 1
- Goal Sampling Network already reaches 10.6847 of FDE HOT 1
- 'train.pickle' and 'test.pickle' file in the SDD folder
- To run train_nsp_w.py
- Missing info for running on ETH/UCY dataset
- Generating goals_Ynet.pickle about ETH/UCY
- current_vel = traj[:, m, 2:] # peds*2
- About the pedestrian interaction HOT 1
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from human-trajectory-prediction-via-neural-social-physics.