import numpy as np
import cv2
import time
import datetime
from pprint import pprint
from PIL import Image
import os, os.path
import glob


face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

imgs = ['img/01.jpg','img/02.jpg','img/03.jpg','img/04.jpg','img/05.jpg','img/06.jpg','img/07.jpg','img/08.jpg','img/09.jpg']
pprint (imgs)

d = 0

while True:

    #read selected image
    image = cv2.imread(imgs[d])
    d+=1

    imagegray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(imagegray, 1.3, 5)

    for (x,y,w,h) in faces:
        cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,0),-1)
        roi_gray = imagegray[y:y+h, x:x+w]
        roi_color = image[y:y+h, x:x+w]

    print ("Displaying image")
    cv2.imshow(('blocked%d.jpg'%d),image)
    print ("Writing image")
    cv2.imwrite(('blocked%d.jpg'%d),image)
    k = cv2.waitKey(5) & 0xff
    time.sleep(0.5)
    if k == 27:
        break

cap.release()
cv2.destroyAllWindows()