Faceswap

#import necessary libraries
import cv2
import numpy as np

#capture video from the webcam
cap = cv2.VideoCapture(0)

#load the face finder
face_cascade = cv2.CascadeClassifier('/home/sm/Desktop/haarcascade_frontalface_default.xml')

#load the face that will be swapped in
face_img = cv2.imread('/home/sm/Desktop/faces/14.jpg')

#start loop
while True:
    ret, img = cap.read() #read image
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 3) #find faces
    #for all the faces found in the frame
    for (x,y,w,h) in faces:
        #resize and blend the face to be swapped in
        face = cv2.resize(face_img,(h,w), interpolation = cv2.INTER_CUBIC)
        face = cv2.addWeighted(img[y:y+h,x:x+w],.5, face,.5,1)
        #swap faces
        img[y:y+h,x:x+w] = face
    #show the image
    cv2.imshow('img',img)
    cv2.waitKey(1)

Link to the xml file needed to detect the face: https://github.com/opencv/opencv/tree/master/data/haarcascades
get frontalface_default