EYE DETECTION IN VIDEO USING OPENCV AND PYTHON

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Program :

# Eye detection in video
import cv2

# trained dataset for face (from github)
face_cascade = cv2.CascadeClassifier("face detection/haarcascade_frontalface_default.xml")
# trained dataset for eyes (from github)
eye_cascade = cv2.CascadeClassifier("face detection/haarcascade_eye_tree_eyeglasses.xml")

# for detecting eye in video pass the location of the video as a argument
video = cv2.VideoCapture(0)  # 0 is for accessing webcam

while True:
    success, frame = video.read()
    if success == True:
        # converting color frame to grayscale frame
        gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        # getting values of x-axis, y-axis, width, height
        faces = face_cascade.detectMultiScale(gray_frame)
        """ print(faces) -> return values of x-axis, y-axis, width, height """

        # creating rectangle around the face
        for x, y, w, h in faces:
            # cv2.rectangle(frame, (x, y), ((x + w), (y + h)), (0, 0, 255), 2)

            # roi means region of interest
            roi_gray = gray_frame[y:y + h, x:x + w]
            roi_color = frame[y:y + h, x:x + w]

            # getting values of x-axis, y-axis, width, height for eyes
            eyes = eye_cascade.detectMultiScale(roi_gray)
            """ print(eyes) -> return values of x-axis, y-axis, width, height """

            # creating rectangle around the eyes
            for ex, ey, ew, eh in eyes:
                cv2.rectangle(roi_color, (ex, ey), ((ex + ew), (ey + eh)), (255, 0, 0), 2)

        # Showing the eye detected video
        cv2.imshow("Detecting...", frame)
        key = cv2.waitKey(1)
        if key == 13:
            break
    else:
        break

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