python 用opencv调用训练好的模型进行识别的方法

Python  /  管理员 发布于 7年前   344

此程序为先调用opencv自带的人脸检测模型,检测到人脸后,再调用我自己训练好的模型去识别人脸,使用时更改模型地址即可

#!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()

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