import numpy as np
import cv2 as cv

face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv.CascadeClassifier('haarcascade_eye_tree_eyeglasses')

#FOR VIDEO
cap = cv.VideoCapture(0)
while cap.isOpened():
    _, img = cap.read()
    gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.1, 4)

    for (x, y, w, h) in faces:
        cv.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 3)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y + h, x: x + w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 5)

    cv.imshow("img", img)
    if cv.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()



#FOR IMAGE
#img = cv.imread("test.jpg")
#gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
#faces = face_cascade.detectMultiScale(gray, 1.1, 4)

#for (x, y, w, h) in faces:
#    cv.rectangle(img, (x,y), (x+w,y+h), (255, 0, 0), 3)

#cv.imshow("img", img)
#cv.waitKey(0)
#cv.destroyAllWindows()

