eyesdetector.py

import cv2 as cv2
import numpy as np 

face_cascade = cv2.CascadeClassifier('haar_cascade_files/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haar_cascade_files/haarcascade_eye.xml')

if face_cascade.empty():
    raise IOError('Cannot find face cascade file')

if eye_cascade.empty():
    raise IOError('Cannot find eye cascade file')

cap = cv2.VideoCapture(0)

ds_factor = 0.5

while True:
    _, frame = cap.read()

    frame = cv2.resize(frame, None, fx = ds_factor, fy = ds_factor, interpolation = cv2.INTER_AREA)

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    for(x, y, w, h) in faces:
        roi_gray = gray[y: y + h, x: x + w]
        roi_color = frame[y: y + h, x: x + w]

        eyes = eye_cascade.detectMultiScale(roi_gray)

        for(x_eye, y_eye, w_eye, h_eye) in eyes:
            center = (int(x_eye + 0.5*w_eye), int(y_eye + 0.5*h_eye))
            radius = int(0.3 * (w_eye + h_eye))
            color = (0, 255, 0)
            thickness = 3

            cv2.circle(roi_color, center, radius, color, thickness)
        
    cv2.imshow('Eyes Detector', frame)

    c = cv2.waitKey(1)

    if c == 27:
        break

cap.release()

cv2.destroyAllWindows()