eyetrax 0.2.1

Webcam-based eye-tracking

EyePy

EyePy is a Python library that provides webcam-based eye tracking. Extract facial features, train eye tracking model and predict gaze with super easy to use interface.

The repo also includes a virtual camera script allowing integration with streaming software like OBS.

Installation

Clone this project:

git clone https://github.com/ck-zhang/EyePy

Using Pip

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate
pip install -r requirements.txt

Using uv

# Install uv https://github.com/astral-sh/uv/?tab=readme-ov-file#installation
pip install uv
uv sync
source venv/bin/activate  # On Windows use: venv\Scripts\activate

Demo

To run the gaze estimation demo:

python demo.py [OPTIONS]

Options

Option	Description	Default
--filter	Filter method (kalman, kde, none)	none
--camera	Index of the camera to use	0
--calibration	Calibration method (9p, 5p, lissajous)	9p
--background	Path to background image	None
--confidence	Confidence interval for KDE contours (0 to 1)	0.5

Virtual Camera Script (only tested on linux)

python virtual_cam.py [OPTIONS]

Virtual Camera Options

Option	Description	Default
--filter	Filter method (kalman, kde, none)	none
--camera	Index of the camera to use	0
--calibration	Calibration method (9p, 5p, lissajous)	9p
--confidence	Confidence interval for KDE contours (0 to 1)	0.5

Virtual camera demo

https://github.com/user-attachments/assets/7337f28c-6ce6-4252-981a-db77db5509f6

Usage as library

Initialization

from EyePy import GazeEstimator
gaze_estimator = GazeEstimator()

Feature Extraction

import cv2
image = cv2.imread('image.jpg')
features, blink_detected = gaze_estimator.extract_features(image)

if features is None:
    print("No face detected.")
elif blink_detected:
    print("Blink detected!")
else:
    print("Extracted features:", features)

Training the Model

X = [[...], [...], ...]  # Each element is a feature vector
y = [[x1, y1], [x2, y2], ...]  # Corresponding gaze coordinates
gaze_estimator.train(X, y)

Predicting Gaze Location

predicted_gaze = gaze_estimator.predict([features])
print("Predicted gaze coordinates:", predicted_gaze[0])

Future Work

TODO

• Virtual camera script Integrate with OBS
• Integrate with opentrack

Any suggestions for features and improvements are welcome.

If you enjoyed using EyePy, consider giving it a star.