python调用opencv实现猫脸检测功能


						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)





检测效果：



2. 通过命令控制符调用



也可以通过调用argparse库，进行整体调用

新建cat_detect.py文件





# import the necessary packages

import argparse

import cv2



# construct the argument parse and parse the arguments

ap = argparse.ArgumentParser()

ap.add_argument("-i", "--image", required=True,



 help="path to the input image")

ap.add_argument("-c", "--cascade", default="haarcascade_frontalcatface_extended.xml", 

 help="path to cat detector haar cascade")



args = vars(ap.parse_args())

#"haarcascade_frontalcatface_extended.xml",



# load the input image and convert it to grayscale

#image = cv2.imread(args["image"])

image = cv2.imread(args["image"])

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

# load the cat detector Haar cascade, then detect cat faces



# in the input image

detector = cv2.CascadeClassifier(args["cascade"])

rects = detector.detectMultiScale(gray, scaleFactor=1.1,



 minNeighbors=10, minSize=(120, 120)) # cat good



# 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)

# show the detected cat faces

cv2.imshow("Cat Faces", image)

cv2.waitKey(0)





通过“命令控制符”调用





cmd

cd E:\WORK\py\detectCat

E:\WORK\py\detectCat>python cat_detector.py --image cat_07.png





以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持中文源码网。