首先下载opencv的data,里面包含了很多现成的文件。
然后把两个文件添加到py程序目录下
haarcascade_frontalface_default.xml
haarcascade_eye.xml
然后贴代码(抄的)
# -*- coding: utf-8 -* import numpy as np import cv2 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') cap = cv2.VideoCapture(0) while True: ret,img = cap.read() gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray,1.3,5) for (x,y,w,h) in faces: cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) roi_gray = gray[y:y+h,x:x+w] roi_color = img[y:y+h,x:x+w] eyes = eye_cascade.detectMultiScale(roi_gray) for(ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) cv2.imshow('img',img) k = cv2.waitKey(30) & 0xff if k == 27: break cap.release() cv2.destroyAllWindows()
请忽略我30块摄像头的渣像素