FaceWithPupil

import numpy as np
import cv2

# multiple cascades: https://github.com/Itseez/opencv/tree/master/data/haarcascades

# https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
# https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_eye.xml
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    for (x, y, w, h) in faces:
        cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y + h, x:x + w]
        roi_color = img[y:y + h, x:x + w]
        #cv2.imshow("roi_color",roi_color)
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:

            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

            eye_color = roi_color[ey:ey + eh, ex:ex + ew]

            cloneImage = cv2.cvtColor(eye_color, cv2.COLOR_BGR2GRAY)
            cloneImage = cv2.medianBlur(cloneImage, 5)


            cimg = cv2.cvtColor(cloneImage, cv2.COLOR_GRAY2BGR)
            try:
                circles = cv2.HoughCircles(cloneImage, cv2.HOUGH_GRADIENT, 1, int(ew / 8),
                                           param1=20, param2=15, minRadius=int(eh / 8), maxRadius=int(eh / 3))
                circles = np.uint16(np.around(circles))
                counter = 0
                for i in circles[0, :]:
                    counter = 1
                    # draw the outer circle
                    cv2.circle(eye_color, (i[0], i[1]), i[2], (0,0, 255), 2)

                    # draw the center of the circle
                    cv2.circle(eye_color, (i[0], i[1]), 2, (100, 125, 255), 3)
                    if counter == 1:
                        break

            except:
                print("exception:")


    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()