GitHub - StanfordASL/NHumanModeling: Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone.

UPDATE: There is a newer and much faster version of this codebase implemented in PyTorch! Take a look here!

N-Human Modeling

This repository contains the code for Generative Modeling of Multimodal Multi-Human Behavior by Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone.

Note: We use Git LFS to version large files (such as model checkpoints and data).

First, we'll create a conda environment to hold the dependencies.

conda create --name modeling python=2.7 -y
source activate modeling
pip install -r requirements.txt

Then, since this project uses IPython notebooks, we'll install this conda environment as a kernel.

python -m ipykernel install --user --name modeling --display-name "Python 2.7 (NHumanModeling)"

Now, you can start a Jupyter session and view/run all the notebooks with

jupyter notebook

When you're done, don't forget to deactivate the conda environment with

source deactivate

The preprocessed datasets are available in this repository, under data/ folders (e.g. nba-dataset/data/).

If you want the original traffic weaving or NBA datasets, I obtained them from here: Traffic Weaving Dataset and NBA Dataset.