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.