OpenCV-Python 人脸眼睛嘴识

 1 # 识别眼睛、嘴巴、人脸
 2 image = cv2.imread('./yong.jpg')
 3 
 4 gray = cv2.cvtColor(image,code=cv2.COLOR_BGR2BGRA)
 5 # 加载算法
 6 face_detector = cv2.CascadeClassifier('./haarcascade_frontalface_default.xml')
 7 eye_detector = cv2.CascadeClassifier('./haarcascade_eye.xml')
 8 mouth_detector = cv2.CascadeClassifier('./haarcascade_mcs_mouth.xml')
 9 
10 face_zone = face_detector.detectMultiScale(gray,1.3,3,minSize=(80,80))
11 print(face_zone)
12 for x,y,w,h in face_zone:
13     cv2.rectangle(image, pt1=(x,y),pt2=(x+w,y+h), color=[0,0,255],thickness=2)
14 
15 #  人脸切分
16 h_up = int(face_zone[0,-1]*0.6)
17 x,y,w,h = face_zone.reshape(-1)
18 # 头部
19 head = gray[y:y+h,x:x+w]
20 head_up = head[0:h_up]
21 head_down = head[h_up:]
22 # 检测眼睛
23 eye_zone = eye_detector.detectMultiScale(head_up,1.3,3,minSize=(10,10))
24 for ex,ey,ew,eh in eye_zone:
25     cv2.rectangle(image, pt1=(ex + x,ey+y), pt2=(ex+ew+x,ey+eh+y),color=[0,255,0],thickness=1)
26 
27 # 检查嘴
28 mouth_zone = mouth_detector.detectMultiScale(head_down,1.3,3,minSize=(10,10))
29 for mx,my,mw,mh in mouth_zone:
30     cv2.rectangle(image, pt1=(mx + x,my+y+h_up), pt2=(mx+mw+x,my+mh+y+h_up),color=[255,0,0],thickness=1)
31 
32 
33 cv2.imshow('liyong', image)
34 cv2.waitKey(0)
35 cv2.destroyAllWindows()    

eye = cv2.imread('./eye.jpg')
for ex,ey,ew,eh in eye_zone:
#     cv2.rectangle(image, pt1=(ex + x,ey+y), pt2=(ex+ew+x,ey+eh+y),color=[0,255,0],thickness=1)
    # 眼睛缩放
    eye2 = cv2.resize(eye,dsize=(ew,eh))
    # 替换
    image[y+ey: y+ey+eh,ex+x:ex+x+ew] = eye2