图像处理：人脸识别预处理

#opencv对图像进行预处理
import cv2
import numpy as np
#xml文件的加载
face_xml = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_xml = cv2.CascadeClassifier('haarcascade_exye,xml')

img = cv2.imread('face.jpg')
cv2.imshow('src', img)
#彩色图片到灰色图片的转化
gray = cv2.cvtColor(img, cvw.COLOR_BGR2GRAY)
#人脸检测
faces = face_xml.detectMultiScale(gray, 1.3, 5)
index = 0
print('face=', len(faces))
#图像绘制#for# , y, w, h) in faces :
    cv2.recentangle(img, (x, y), (x+w, y+h),(255, 0,0,),2)
    roi_face = gray[y:y+h,x:x+w] #当前检测的人脸
    roi_cocor = img[y:y+h,x:x+w]  #当前检测的人脸彩色
    fileName = index+'.str'
    index = index
    eyes = eye_xml.detectMultiScale(roi_face)
    print('eye=',len(eyes))
cv2.imshow('dst',img)
cv2.waitKey(0)