Comments (1)
Hi,
The code for generating pickle files was uploaded when we first open-sourced our project. You can find it in data/SDD_ini. You can find details about the supplement tensor and two kinds of neighbors in Q#14 and the code for generating data. As for the dimension 121, 120 is the maximum number of people appearing at the same time. The remaining dimension of 121 is used to record the number of neighbors. 5 means positions (2D), velocities (2D) and the category(1D).
from human-trajectory-prediction-via-neural-social-physics.
Related Issues (20)
- 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
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- 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
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from human-trajectory-prediction-via-neural-social-physics.