Link to the Challenge: Trajnet++ Challenge

Converting external dataset into TrajNet++ format (NEW): Tutorial

Starter Guide : Introducing Trajnet++ Framework

Data Setup

Data Directory Setup

All Datasets are stored in DATA_BLOCK

All Models after training are stored in OUTPUT_BLOCK: mkdir OUTPUT_BLOCK

Data Conversion

For data conversion, refer to trajnetplusplusdataset.

After conversion, copy the converted dataset to DATA_BLOCK

Training LSTMs

The training script and its help menu: python -m trajnetbaselines.lstm.trainer --help

Training GANs

The training script and its help menu: python -m trajnetbaselines.sgan.trainer --help

Evaluation

The evaluation script and its help menu: python -m evaluator.trajnet_evaluator --help

More details regarding TrajNet++ evaluator are provided here

Evaluation on datasplits is based on the following categorization:

Citation

If you find this code useful in your research then please cite

@article{Kothari2020HumanTF,
  title={Human Trajectory Forecasting in Crowds: A Deep Learning Perspective},
  author={Parth Kothari and S. Kreiss and Alexandre Alahi},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.03639}
}