python+OpenCV进行人脸检测

原始链接http://tech.idv2.com/2012/01/20/face-detection-with-python-opencv/
 
 
OpenCV的人脸检测功能在一般场合还是不错的。而ubuntu正好提供了python-opencv这个包，用它可以方便地实现人脸检测的代码。
 
写代码之前应该先安装python-opencv：
 
$ sudo apt-get install python-opencv具体原理就不多说了，可以参考一下这篇文章。直接上源代码。
 
#!/usr/bin/python
# -*- coding: UTF-8 -*-
 
# face_detect.py
 
# Face Detection using OpenCV. Based on sample code from:
# http://python.pastebin.com/m76db1d6b
 
# Usage: python face_detect.py <image_file>
 
import sys, os
from opencv.cv import *
from opencv.highgui import *
from PIL import Image, ImageDraw
from math import sqrt www.zzzyk.com
 
def detectObjects(image):
    """Converts an image to grayscale and prints the locations of any faces found"""
    grayscale = cvCreateImage(cvSize(image.width, image.height), 8, 1)
    cvCvtColor(image, grayscale, CV_BGR2GRAY)
 
    storage = cvCreateMemStorage(0)
    cvClearMemStorage(storage)
    cvEqualizeHist(grayscale, grayscale)
 
    cascade = cvLoadHaarClassifierCascade(
        '/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml',
        cvSize(1,1))
    faces = cvHaarDetectObjects(grayscale, cascade, storage, 1.1, 2,
        CV_HAAR_DO_CANNY_PRUNING, cvSize(20,20))
 
    result = []
    for f in faces:
        result.append((f.x, f.y, f.x+f.width, f.y+f.height))
 
    return result
 
def grayscale(r, g, b):
    return int(r * .3 + g * .59 + b * .11)
 
def process(infile, outfile):
 
    image = cvLoadImage(infile);
    if image:
        faces = detectObjects(image)
 
    im = Image.open(infile)
 
    if faces:
        draw = ImageDraw.Draw(im)
        for f in faces:
            draw.rectangle(f, outline=(255, 0, 255))
 
        im.save(outfile, "JPEG", quality=100)
    else:
        print "Error: cannot detect faces on %s" % infile
 
if __name__ == "__main__":
    process('input.jpg', 'output.jpg')
检测结果：

补充：Web开发 , Python ,