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
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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)
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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
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# 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)
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通过“命令控制符”调用
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cmd
cd e:\work\py\detectcat
e:\work\py\detectcat>python cat_detector.py --image cat_07.png
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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服务器之家。
原文链接：https://blog.csdn.net/xiao_lxl/article/details/77191145