A lightweight, robust Python eye tracker
This repository is an open-source eye tracking algorithm written in Python. Currently, it is an updated version of the pupil tracker from https://github.com/YutaItoh/3D-Eye-Tracker/blob/master/main/pupilFitter.h that has been optimized and simplified.
To use the script, run "python .\OrloskyPupilDetector.py" from your shell. If the hardcoded file path in the select_video() function does not find a video at the specified path, it will open a browse window that allows you to select a video. The process_video() function handles the majority of the processing and can be easily modified to work with a camera capture or image. It returns a rotated_rect that represents the pupil ellipse.
A test video (eye_test.mp4) is included in the root directory for testing. Algorithm details are explained here: https://www.youtube.com/watch?v=bL92JUBG8xw
When running the script on this test video, your results should look like this - https://youtu.be/B06cUMplDHw.
To help support this software and other open-source projects, please consider subscribing to my YouTube channel: https://www.youtube.com/@jeoresearch
Requirements:
- A Python environment
Packages
- numpy
- opencv
Assumptions
- Works best with 640x480 videos. Images will be cropped to size equally horizontally/vertically if aspect ratio is not 4:3.
- The image must be that of the entire eye. Dark regions in the corners of the image (e.g. VR display lens borders) should be cropped.