#!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() 
