ChuhuaW/SGNet.pytorch
Pytorch Implementation for Stepwise Goal-Driven Networks for Trajectory Prediction (RA-L/ICRA2022)
Python
Issues
- 1
JAAD/PIE checkpoints
#25 opened by Serenfang - 0
Why to diff bbox at t from future bbox's of prediction length in "get_target" function of file "jaad_data_layer.py"
#32 opened by siddiqian-at-ceme - 0
Additional Features for JAAD/PIE
#31 opened by siddiqian-at-ceme - 0
- 1
SGNet on custom data
#26 opened by ScorcaF - 7
Cannot reproduce deterministic results
#21 opened by HRHLALALA - 0
ETH/UCY visualization code
#29 opened by atanas1054 - 2
- 9
Deterministic Training of PIE/JAAD
#13 opened by KSXGroup - 0
- 2
Choosing epochs based on test results?
#24 opened by thisishale - 2
training on nuScenes dataset
#22 opened by orhuntamyigit - 0
Checkpoints for JAAD/PIE Stochastic prediction
#23 opened by werdnabae - 5
- 1
- 4
CPU RAM usage increasing for every epoch
#16 opened by GuttinRibeiro - 1
Questions on PIE
#17 opened by chrisphum - 1
Model Selection based on test results?
#20 opened by PipoC96 - 1
- 1
- 1
Slightly weird validation curve
#14 opened by segermans - 4
Trained the model with original codes and settings, but cannot obtain the results in the paper.
#6 opened by Infinitywxh - 1
when training
#10 opened by f777777 - 4
Pre training model
#9 opened by S1tephen - 0
Computing power and time needed
#12 opened by KSXGroup - 4
Visualization is not ideal(JAAD)
#11 opened by wuyuanmm - 4
- 1
Hi, it should be my fault, I didn't find nuscenes.prediction in the from nuscenes.prediction import convert_local_coords_to_global
#8 opened by S1tephen - 0
Hi, it should be my fault, I didn't find nuscenes.prediction in the from nuscenes.prediction import convert_local_coords_to_global
#7 opened by S1tephen - 0
- 6
paper code
#1 opened by guoyage - 3
When I can see your code?
#2 opened by daeunni