TAMER-ER: Augmenting TAMER with Facial Expression Recognition

Installation and Dependencies

Requires Python 3.8.1 or higher.

Clone the git repository

git clone https://github.com/saumyasinha/learning-via-human-feedback
cd learning-via-human-feedback
git pull
git lfs pull

Linux

Install packages and libraries using sh install_dependencies.sh. This will install Python 3.8 and install all the necessary modules required to run TAMER-ER.

Mac OSX

Install Python 3.8.1 or higher and verify version using python3 -V

Optionally, we recommend using virtual environment (venv) to run our code. Here is an example:

python3 -m venv new_env
source new_env/bin/activate

Install the packages and libraries by running the following lines:

python3 -m pip install -U pip
python3 -m pip install -r requirements.txt

Running TAMER-ER

Use python3 run_tamerer.py -o demo to run our code and direct output to directory demo.

Use python3 run_tamerer.py --help to show usage information.

Authors and Citation

This repo is the implementation of Augmenting TAMER with Facial Expression Recognition: TAMER-ER. If you use our work, please cite us. You can find our paper here

Beni Bienz, University of Colorado Boulder.

Christine Chang, University of Colorado Boulder.

Michael Lauria, University of Colorado Boulder.

Vikas Nataraja, University of Colorado Boulder.

Saumya Sinha, University of Colorado Boulder.

Special thanks to Dr. Bradley Hayes for his assistance and guidance.