nachiket92/PGP
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
PythonMIT
Issues
- 1
Error when trying to preprocess data
#30 opened by anubhavjetley2424 - 8
Issue of the trained model weights
#31 opened by kongxincaizi - 8
Unable to access to pretrained weights
#34 opened by rahultgirijal - 7
download of the trained model weight
#20 opened by qihuihu20 - 0
real time testing
#33 opened by zehranrgi - 0
visualize_graph
#32 opened by Young-Gee - 1
Diversity metrics
#23 opened by sancarlim - 1
All categories of target agent trained together?
#28 opened by Sigrid-Z - 4
Offroad rate
#27 opened by Gaotttt - 4
about preprocessed code
#4 opened by gilgamsh - 1
Difference spotted regarding input feature dimension different in the code and paper
#29 opened by jingyanliao - 0
Path traversed by policy visualization
#22 opened by sancarlim - 0
- 1
- 0
Multimodality
#24 opened by Cram3r95 - 2
Training from scratch and model configuration
#21 opened by sancarlim - 3
Inconsistency in KMeans clustering result
#15 opened by gobear6212 - 0
RuntimeError when training
#19 opened by qihuihu20 - 4
Errors when training
#18 opened by sj-li - 2
Latent var only experiments error
#17 opened by han1222 - 2
Latent var only experiments
#13 opened by zy1296 - 3
Encounter the RuntimeError when running train.py
#16 opened by Ianpengg - 1
About Visualization of the Lane Graph
#11 opened by gilgamsh - 3
Encountered some error when evaluating
#14 opened by Ianpengg - 3
Have you ever tested this model on a real vehicle? & How can I change from single agent prediction to multi agent prediction?
#12 opened by han1222 - 0
about visualization
#10 opened by zy1296 - 11
Questions about GPU productivity
#5 opened by mengqingyu123 - 2
Is it really necessary to get indefinite future trajectory in get_visited_edges()?
#3 opened by ultimatedigiman - 5