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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).

Installation

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

Datasets

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.

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

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