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| """
Created on Tue Jul 2 16:22:12 2019
识别摄像头中的人脸、眼镜并框出
@author: Kevin
"""
import cv2
import numpy as np
#调用人脸识别、眼睛检测库
face_cascade = cv2.CascadeClassifier("C:\Python\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("C:\Python\opencv\sources\data\haarcascades\haarcascade_eye.xml")
cap=cv2.VideoCapture(0) #连接摄像头
while True:
ret,img=cap.read() #获得图像
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #获得图像的灰度信息
faces = face_cascade.detectMultiScale(gray,1.1,5) #检测人脸
if len(faces)>0: #若检测到人脸，则绘图，并检测眼睛
for faceRect in faces:
x,y,w,h = faceRect
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #框出面部
roi_gray = gray[y:y+h//2,x:x+w]
roi_color = img[y:y+h//2,x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray,1.1,1,cv2.CASCADE_SCALE_IMAGE,(2,2)) #检测眼睛
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) #框出眼镜
cv2.imshow("img",img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
|
