CV：利用cv2自带两步法haarcascade_frontalcatface.xml实现对猫脸检测

输出结果

实现代码

@author: niu

'''

import cv2

catPath = "haarcascade_frontalcatface.xml"  

faceCascade = cv2.CascadeClassifier(catPath)

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

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

faces = faceCascade.detectMultiScale(

   gray,

   scaleFactor= 1.02,

   minNeighbors=3,

   minSize=(150, 150),

   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)

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

cv2.imshow('Jason niu', img)

cv2.imwrite("cat.jpg",img)

c = cv2.waitKey(0)