CV：利用cv2自带两步法haarcascade_frontalface_default.xml、_smile.xml实现对人脸、笑脸同时检测

输出结果

实现代码

#CV：利用cv2.CascadeClassifier级联分类器的haarcascade_frontalface_default.xml、haarcascade_smile.xml实现对人脸、笑脸同时检测——Jason niu

import cv2

smilePath = "F:\Program Files\Python\Python36\Lib\site-packages\cv2\haarcascade_smile.xml"

smileCascade = cv2.CascadeClassifier(smilePath)

img = cv2.imread("F:\File_Python\Resources\smile.jpg")  

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = faceCascade.detectMultiScale(

   gray,

   scaleFactor= 1.1,

   minNeighbors=8,

   minSize=(55, 55),

   flags=cv2.CASCADE_SCALE_IMAGE

)

for (x, y, w, h) in faces:

   cv2.rectangle(img, (x, y), (x+w, y+h), (0, 0, 255), 2)

   roi_gray = gray[y:y+h, x:x+w]

   roi_color = img[y:y+h, x:x+w]

   smile = smileCascade.detectMultiScale(

       roi_gray,

       scaleFactor= 1.16,

       minNeighbors=35,

       minSize=(25, 25),

       flags=cv2.CASCADE_SCALE_IMAGE

   )

   for (x2, y2, w2, h2) in smile:

       cv2.rectangle(roi_color, (x2, y2), (x2+w2, y2+h2), (255, 0, 0), 2)

       cv2.putText(img,'Smile',(x,y-7), 3, 1.2, (0, 255, 0), 2, cv2.LINE_AA)

cv2.imshow('Smile test', img)

#cv2.imwrite("smile.jpg",img)

c = cv2.waitKey(0)