#!/usr/bin/env python
#coding=utf-8
import os
from PIL import Image, ImageDraw
import cv
def detect_object(image):
 '''检测图片，获取人脸在图片中的坐标'''
 grayscale = cv.CreateImage((image.width, image.height), 8, 1)
 cv.CvtColor(image, grayscale, cv.CV_BGR2GRAY)
 cascade = cv.Load("/opt/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt_tree.xml")
 rect = cv.HaarDetectObjects(grayscale, cascade, cv.CreateMemStorage(), 1.1, 2,
  cv.CV_HAAR_DO_CANNY_PRUNING, (20,20))
 result = []
 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):
 '''在原图上框出头像并且截取每个头像到单独文件夹'''
 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))
  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("/Users/zhangdebin/Documents/checkFace2.jpg")