Python人脸识别初探

本文实例为大家分享了Python人脸识别的具体代码，供大家参考，具体内容如下

1.利用opencv库

sudo apt-get install libopencv-*
sudo apt-get install python-opencv
sudo apt-get install python-numpy

2 .Python实现

import os
import os
from PIL import Image,ImageDraw
import cv

def detect_object(image):
 grayscale = cv.CreateImage((image.width,image.height),8,1)#创建空的灰度值图片
 cv.CvtColor(image,grayscale,cv.CV_BGR2GRAY)
 cascade=cv.Load("/usr/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml")#记载特征值库，此目录下还有好多库可以选用
 rect=cv.HaarDetectObjects(grayscale,cascade,cv.CreateMemStorage(),1.1,2,cv.CV_HAAR_DO_CANNY_PRUNING,(20,20))
 result=[]#标记位置
 for r in rect:
   result.append((r[0][0],r[0][1],r[0][0]+r[0][2],r[0][1]+r[0][3]))
 return result

def process(infile):
 image = cv.LoadImage(infile)
 if image:
   faces = detect_object(image)
 im = Image.open(infile)
 path = os.path.abspath(infile)
 save_path = os.path.splitext(path)[0]+"_face"
 try:
   os.mkdir(save_path)
 except:
   pass
 if faces:
   draw = ImageDraw.Draw(im)
   count=0
   for f in faces:
      count+=1
      draw.rectangle(f,outline=(255,0,0))
      a=im.crop(f)
      file_name=os.path.join(save_path,str(count)+".jpg")
      a.save(file_name)
   drow_save_path = os.path.join(save_path,"out.jpg")
   im.save(drow_save_path,"JPEG",quality=80)
 else:
   print "Error: cannot detect faces on ％s" ％ infile
if __name__ == "__main__":
  process("test3.jpg")

3.效果对比

4.参考资料

python使用opencv进行人脸识别

Python+OpenCV人脸检测原理及示例详解

python利用OpenCV2实现人脸检测

来源：http://blog.csdn.net/u013542440/article/details/51039608