#!/usr/bin/env python/265854.html">python#coding=utf-8import osfrom PIL import Image, ImageDrawimport cvdef detect_object(image): '''檢測圖片，獲取人臉在圖片中的坐標(biāo)''' 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 resultdef process(infile): '''在原圖上框出頭像并且截取每個(gè)頭像到單獨(dú)文件夾''' 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" % infileif __name__ == "__main__": process("/Users/zhangdebin/Documents/checkFace2.jpg")