python 用opencv调用训练好的模型进行识别的方法
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/envpython
importcv2
font=cv2.FONT_HERSHEY_SIMPLEX
cascade1=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)
whileTrue:
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)
ifnotrectis():
forx,y,z,winrect:
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)
ifnotrect1is():
for(a,b,c,d)inrect1:
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)
ifcv2.waitKey(1)&0xFF==ord('q'):
break
cap.release()
cv2.destroyAllWindows()
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