【python 人脸检测】opencv 进行人脸检测

#coding=utf-8import timetime1=time.time()import cv2#初始化 opencv 的 Cascade Classification,它的作用是产生一个检测器faceCascade = cv2.CascadeClassifier("E:/haarcascade_frontalface_default.xml")image = cv2.imread("E:/888.jpg")#图像灰度化gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)#调用faces = faceCascade.detectMultiScale(gray,scaleFactor=1.15,minNeighbors=5,minSize=(5,5))print "Found {0} faces!".format(len(faces))#######显示图像并丏标记用斱框标出来for (x, y, w, h) in faces:    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)    cv2.imshow("Faces found", image)cv2.waitKey(0)cv2.destroyAllWindows()time2=time.time()print u'ok,程序结束!'print u'总共耗时：'+str(time2-time1)+'s'

"D:\Program Files\Python27\python.exe" D:/PycharmProjects/learn2017/行人检测.pyFound 6 faces!ok,程序结束!总共耗时：6.36999988556sProcess finished with exit code 0

再来一张大牛合照

"D:\Program Files\Python27\python.exe" D:/PycharmProjects/learn2017/行人检测.pyFound 4 faces!ok,程序结束!总共耗时：17.0020000935sProcess finished with exit code 0