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.
Run the demo:
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
Refresh the 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.
Position of the left pupil
Returns the coordinates (x,y) of the left pupil.
Position of the right pupil
Returns the coordinates (x,y) of the right pupil.
Looking to the left
True if the user is looking to the left.
Looking to the right
True if the user is looking to the right.
Looking at the center
True if the user is looking at the center.
Horizontal direction of the gaze
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.
Vertical direction of the gaze
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.
True if the user's eyes are closed.
frame = gaze.annotated_frame()
Returns the main frame with pupils highlighted.
You want to help?
Your suggestions, bugs reports and pull requests are welcome and appreciated. You can also starring ⭐️ 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.
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