Python及OpenCV视频实时人脸覆盖

视频实时人脸检测功能已经做出来了就差人脸覆盖了，求助，我的代码如下，请各位大神直接在我的代码里加入人脸覆盖代码即可，谢谢；
import cv2

face_cascade = cv2.CascadeClassifier('E:\openCV\opencv\sources/data/haarcascades/haarcascade_frontalface_alt2.xml')
cap = cv2.VideoCapture(0)
while True:
ret,img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
cv2.imshow('img',img)

if cv2.waitKey(1) &0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()

照着这个图片来吧

上面好像有些错了
评论不能撤回

cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)这一句改成img[x:x+w,y:y+h]=0 ，这个是把人脸置黑，类似修改就行，不懂可以继续问

#下面这样。测试通过
import cv2

img1_path = r'C:\Users\Jack\Desktop\Head\head4.jpg'
img1 = cv2.imread(img1_path)
face_cascade = cv2.CascadeClassifier(r'D:\Firefox\1_Download\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml')
cap = cv2.VideoCapture(1)
cv2.imshow('img1',img1)
while True:
ret,img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
img1 = cv2.resize(img1,(w,h))
img[y:y+w,x:x+w] = img1
cv2.imshow('img',img)

if cv2.waitKey(1) &0xFF == ord('q'):
    break

cap.release()
cv2.destroyAllWindows()