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一、人脸识别概念：
二、人脸识别的应用：
1.获取摄像头：
import cv2cap = cv2.VideoCapture(0)while(cap.isOpened()):# 获取一帧ret,frame = cap.read()cv2.imshow('frame',frame)if cv2.waitKey(1) == ord('q'):#q关闭breakcap.release()cv2.destroyAllWindows()
2.使用摄像头进行人脸识别：
import cv2import numpy as npface_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')eye_cascade = cv2.CascadeClassifier('harcascade_eye.xml')smile_cascade= cv2.CascadeClassifier(cv2.data.haarcasscades+'harcascade_smile.xml')cap = cv2.VideoCapture(0)width=1280height=960cap.set(cv2.CAP_PROP_FRAME_WIDTH,width)cap.set(cv2.CAP_PROP_FRAME_HEIGHT,height)fgbg = cv2.createBackgroundSubtractorMOG2(history=500,varThreshold=100,detectShadows=False)cnt = 1 while(1):ret,frame = cap.read()gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)faces = face_cascade.detectMultiScale(gray,1.3,5,0)for (x,y,w,h) in faces:img = cv2.rectangle(frame,(x+y),(x+w,y+h),(255,0,0),2)roi_gray = gray[y:y+h, x:x+w]eyes = eye_cascade,detectMultiScale(roi_gray,1.8,5,0)roi_color = img[y:y + h, x:x + w]for(ex,ey,ew,eh) in smiles:cv2.rectangle(roi_gray,(ex,ey),(ex+ew,ey+eh),(0,0,255),1)cv2.putText(img,"smile",(x,y-7),3,1.2,(0,0,255), 2,cv2.LINE_AA)cnt+=1cv2.imshow('camera',frame)if cv2.waitKey(1)==ord("q"):breaksxt.release()cv2.destroyAllWindows()
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