This repository brings the pre-trained model from Eye Tracking for Everyone into python and RunwayML.
It allows for a server to be spun up in a docker container that performs real- time gaze estimation from a video stream. It works with any webcam.
I have used this model successfully in my project Presence - a kinetic sculpture that reacts to a users gaze.
Install Docker.
Build the docker container in a tag:
docker build . -t gaze
Launch the container:
./start_container.sh
The client opens a webcam video feed and sends it in a stream to the server, getting gaze positions back.
Install dependencies:
pip install opencv-python zmq
Launch the client:
python test_client.py