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')

smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')

cap = cv2.VideoCapture(0)

while True:
    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), (0, 126, 125), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        smiles = smile_cascade.detectMultiScale(roi_gray, 2, 10) #Optimal values after experimentaton as of 5.8.17, 13:13:40

        for(sx, sy, sw, sh) in smiles:
            cv2.rectangle(roi_color, (sx, sy), (sx + sw, sy + sh), (0,255,0), 2)


    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff

    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()
