Python人脸识别初探_Python

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")