此程序為先調用opencv自帶的人臉檢測模型,檢測到人臉后,再調用我自己訓練好的模型去識別人臉,使用時更改模型地址即可

#!usr/bin/env pythonimport cv2font=cv2.FONT_HERSHEY_SIMPLEXcascade1 = cv2.CascadeClassifier("D://opencv249//opencv//sources//data//haarcascades//haarcascade_frontalface_alt_tree.xml")cascade2 = cv2.CascadeClassifier("D://opencv249//opencv//sources//data//haarcascades//xml.xml")cap = cv2.VideoCapture(0)while True: ret,frame = cap.read() gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) rect = cascade1.detectMultiScale(gray,scaleFactor=1.3,minNeighbors=9,minSize=(50,50),flags = cv2.cv.CV_HAAR_SCALE_IMAGE) if not rect is ():   for x,y,z,w in rect:   roiImg = gray[y:y+w,x:x+z]   rect1 = cascade2.detectMultiScale(roiImg,scaleFactor=1.3,minNeighbors=9,minSize=(50,50),flags = cv2.cv.CV_HAAR_SCALE_IMAGE)   if not rect1 is ():    for (a,b,c,d) in rect1:     print "rect",rect1     cv2.putText(frame,'Chenym',(x,y), font, 2,(0,0,255),2)     cv2.rectangle(frame,(x+a,y+b),(x+a+c,y+b+d),(0,0,255),2) cv2.imshow('frame',frame) if cv2.waitKey(1) &0xFF == ord('q'):  breakcap.release()cv2.destroyAllWindows()

以上這篇python 用opencv調用訓練好的模型進行識別的方法就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持武林站長站。