import numpy as np
import cv2


face_cascade = cv2.CascadeClassifier('/Users/rmaffesoli/Documents/personal/openCV/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('/Users/rmaffesoli/Documents/personal/openCV/haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('/Users/rmaffesoli/Documents/personal/openCV/haarcascade_smile.xml')
cap = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_SIMPLEX

while True:
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
        cv2.putText(frame, 'Face!', (x, y-10), font, 1, (255, 0, 0), 2, cv2.LINE_AA)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        smiles = smile_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)
            cv2.putText(frame, 'Eye!', (x+ex, y+ey-10), font, 1, (0, 255, 0), 2, cv2.LINE_AA)
        # for (sx, sy, sw, sh) in smiles:
            # cv2.rectangle(roi_color, (sx, sy), (sx+sw, sy+sh), (0, 255, 0), 2)
            # cv2.putText(frame, 'Smile!', (x+sx, y+sy-10), font, 1, (0, 255, 0), 2, cv2.LINE_AA)

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

cap.release()
cv2.destroyAllWindows()
