python调用opencv实现猫脸检测功能-创新互联

Python 小猫检测，通过调用opencv自带的猫脸检测的分类器进行检测。

分类器有两个：haarcascade_frontalcatface.xml和
haarcascade_frontalcatface_extended.xml。可以在opencv的安装目录下找到

D:\Program Files\OPENCV320\opencv\sources\data\haarcascades

小猫检测代码为：

1. 直接读取图片调用

import cv2

image = cv2.imread("cat_04.png")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# load the cat detector Haar cascade, then detect cat faces
# in the input image
detector = cv2.CascadeClassifier("haarcascade_frontalcatface.xml")
#haarcascade_frontalcatface_extended.xml
rects = detector.detectMultiScale(gray, scaleFactor=1.1,
 minNeighbors=10, minSize=(100, 100))
# loop over the cat faces and draw a rectangle surrounding each

print (enumerate(rects))

for (i, (x, y, w, h)) in enumerate(rects):
 cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)
 cv2.putText(image, "Cat #{}".format(i + 1), (x, y - 10),
 cv2.FONT_HERSHEY_SIMPLEX, 0.55, (0, 0, 255), 2)
 print (i, x,y,w,h)
# show the detected cat faces
cv2.imshow("Cat Faces", image)
cv2.waitKey(1)