Fun with faces

Now that we know how to detect and track faces, let's have some fun with it. When we capture a video stream from the webcam, we can overlay funny masks on top of our faces. It will look something like the following image:

If you are a fan of Hannibal, you can try this one:

Let's look at the code to see how to overlay the skull mask on top of the face in the input video stream:

import cv2 
import numpy as np 

face_cascade = cv2.CascadeClassifier('./cascade_files/haarcascade_frontalface_alt.xml') 

face_mask = cv2.imread('./images/mask_hannibal.png') 
h_mask, w_mask = face_mask.shape[:2] 

if face_cascade.empty(): 
    raise IOError('Unable to load the face cascade classifier xml file') 

cap = cv2.VideoCapture(0) 
scaling_factor = 0.5 

while True: 
    ret, frame = cap.read() 
    frame = cv2.resize(frame, None, fx=scaling_factor, fy=scaling_factor, interpolation=cv2.INTER_AREA)

    face_rects = face_cascade.detectMultiScale(frame, scaleFactor=1.3, minNeighbors=3) 
    for...