This is a Python (2 and 3) library that provides a webcam-based eye tracking system. It gives you the exact position of the pupils and the gaze direction, in real time.
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Clone this project:
git clone https://github.com/antoinelame/GazeTracking.git
Install these dependencies (NumPy, OpenCV, Dlib):
pip install -r requirements.txt
The Dlib library has four primary prerequisites: Boost, Boost.Python, CMake and X11/XQuartx. If you doesn't have them, you can read this article to know how to easily install them.
Install these dependencies (NumPy, OpenCV, Dlib):
conda env create --file environment.yml
#After creating environment, activate it
conda activate GazeTracking
Run the demo:
python captureFrames.py
import cv2
from gaze_tracking import GazeTracking
gaze = GazeTracking()
webcam = cv2.VideoCapture(0)
while True:
_, frame = webcam.read()
gaze.refresh(frame)
new_frame = gaze.annotated_frame()
text = ""
if gaze.is_right():
text = "Looking right"
elif gaze.is_left():
text = "Looking left"
elif gaze.is_center():
text = "Looking center"
cv2.putText(new_frame, text, (60, 60), cv2.FONT_HERSHEY_DUPLEX, 2, (255, 0, 0), 2)
cv2.imshow("Demo", new_frame)
if cv2.waitKey(1) == 27:
break
In the following examples, gaze
refers to an instance of the GazeTracking
class.
gaze.refresh(frame)
Pass the frame to analyze (numpy.ndarray). If you want to work with a video stream, you need to put this instruction in a loop, like the example above.
gaze.pupil_left_coords()
Returns the coordinates (x,y) of the left pupil.
gaze.pupil_right_coords()
Returns the coordinates (x,y) of the right pupil.
gaze.is_left()
Returns True
if the user is looking to the left.
gaze.is_right()
Returns True
if the user is looking to the right.
gaze.is_center()
Returns True
if the user is looking at the center.
ratio = gaze.horizontal_ratio()
Returns a number between 0.0 and 1.0 that indicates the horizontal direction of the gaze. The extreme right is 0.0, the center is 0.5 and the extreme left is 1.0.
ratio = gaze.vertical_ratio()
Returns a number between 0.0 and 1.0 that indicates the vertical direction of the gaze. The extreme top is 0.0, the center is 0.5 and the extreme bottom is 1.0.
gaze.is_blinking()
Returns True
if the user's eyes are closed.
frame = gaze.annotated_frame()
Returns the main frame with pupils highlighted.
Your suggestions, bugs reports and pull requests are welcome and appreciated. You can also starring βοΈ the project!
If the detection of your pupils is not completely optimal, you can send me a video sample of you looking in different directions. I would use it to improve the algorithm.
This project is released by Antoine LamΓ© under the terms of the MIT Open Source License. View LICENSE for more information.