
import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('C:\OpenCV-3.1.0\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml')
#eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
img = cv2.imread('pic.jpg')
img = cv2.resize(img,(0,0), fx = 0.3, fy=0.3)
cv2.imshow('img',img)
cv2.waitKey(0)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow('img',gray)
cv2.waitKey(0)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
    cv2.rectangle(img,(x,y),(x+w,y+h),(30,160,30),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:
    #     cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('img',img)
cv2.imwrite('facesDetected.jpg',img)
cv2.waitKey(0)
cv2.destroyAllWindows()