In [6]:

    

import cv2
import numpy as np
import scipy.misc
import os
import dlib
import time
os.chdir("/home/mckc/Imagedb/")
import uuid
%matplotlib inline


video_capture = cv2.VideoCapture(0)
predictor_model = "/home/mckc/Downloads/shape_predictor_68_face_landmarks.dat"

detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(predictor_model)
win = dlib.image_window()
cap = cv2.VideoCapture('/home/mckc/Downloads/2.mp4')


    

In [8]:

    

i = 0
while(cap.grab()):
    # Capture frame-by-frame
#    time.sleep(1)
    ret, frame = cap.read()
    i = i + 1 
    if i % 9 == 0 :
        faces = detector(frame, 1)
        win.clear_overlay()
        win.set_image(frame)
        win.add_overlay(faces)
        dlib.hit_enter_to_continue()
    
    # Draw a rectangle around the faces
        if len(faces)>0:    
            for a,b in enumerate(faces):
                fac = np.array(frame)[b.top():b.bottom(),b.left():b.right(),:]            
                scipy.misc.toimage(fac).save(str(uuid.uuid4()) +'.jpg')

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()


    

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