python人脸识别，python人脸,OpenCV的人脸检测功

python人脸识别，python人脸,OpenCV的人脸检测功

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, osfrom opencv.cv import *from opencv.highgui import *from PIL import Image, ImageDrawfrom math import sqrtdef 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 resultdef 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" % infileif __name__ == "__main__":    process('input.jpg', 'output.jpg')

检测结果：

来源：http://blog.charlee.li/face-detection-with-python-opencv/