The official implementation of Robot Trajectron, which is accepted by ICRA2024: https://arxiv.org/pdf/2402.02499.pdf
- numpy==1.24.4
- tqdm==4.45.0
- matplotlib==3.7.2
- opencv-python==4.8.0.74
- scikit-learn==0.22.1
- scipy==1.10.1
- seaborn==0.12.2
- torch==2.0.0
- CUDA==11.7
- torchvision==0.15.1
Traj100k: https://github.com/mousecpn/Traj100k-Dataset.git
$ python main.py --eval_every 10 --vis_every 10 --preprocess_workers 0 --batch_size 256 --log_dir experiments/RobotTrajectron/models --train_epochs 100 --conf config/config.json --data_path /path/to/dataset
$ python evalute.py --batch_size 256 --conf config/test_config.json --data_path /path/to/dataset --checkpoint /path/to/checkpoint
$ python visualization.py --conf config/test_config.json --data_path /path/to/dataset --checkpoint /path/to/checkpoint
The code is in https://github.com/mousecpn/RT_ws.git