python使用opencv进行人脸识别

sudo apt-get install libopencv-*sudo apt-get install python-opencvsudo apt-get install python-numpy

#!/usr/bin/env python#coding=utf-8import osfrom PIL import Image, ImageDrawimport cvdef 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("/usr/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))   a = im.crop(f)   file_name = os.path.join(save_path,str(count)+".jpg")  #  print file_name   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" % infileif __name__ == "__main__": process("./opencv_in.jpg")

~~/usr/share/opencv/haarcascades>> ll -h总用量 19Mdrwxr-xr-x 2 root root 4.0K 3月 22 17:14 ./drwxr-xr-x 4 root root 4.0K 3月 22 17:14 ../-rw-r--r-- 1 root root 1.1M 4月 28 2011 haarcascade_eye_tree_eyeglasses.xml-rw-r--r-- 1 root root 495K 4月 28 2011 haarcascade_eye.xml-rw-r--r-- 1 root root 818K 4月 28 2011 haarcascade_frontalface_alt2.xml-rw-r--r-- 1 root root 3.5M 4月 28 2011 haarcascade_frontalface_alt_tree.xml-rw-r--r-- 1 root root 899K 4月 28 2011 haarcascade_frontalface_alt.xml-rw-r--r-- 1 root root 1.2M 4月 28 2011 haarcascade_frontalface_default.xml-rw-r--r-- 1 root root 622K 4月 28 2011 haarcascade_fullbody.xml-rw-r--r-- 1 root root 316K 4月 28 2011 haarcascade_lefteye_2splits.xml-rw-r--r-- 1 root root 520K 4月 28 2011 haarcascade_lowerbody.xml-rw-r--r-- 1 root root 350K 4月 28 2011 haarcascade_mcs_eyepair_big.xml-rw-r--r-- 1 root root 401K 4月 28 2011 haarcascade_mcs_eyepair_small.xml-rw-r--r-- 1 root root 306K 8月 2 2011 haarcascade_mcs_leftear.xml-rw-r--r-- 1 root root 760K 4月 28 2011 haarcascade_mcs_lefteye.xml-rw-r--r-- 1 root root 703K 4月 28 2011 haarcascade_mcs_mouth.xml-rw-r--r-- 1 root root 1.6M 4月 28 2011 haarcascade_mcs_nose.xml-rw-r--r-- 1 root root 318K 8月 2 2011 haarcascade_mcs_rightear.xml-rw-r--r-- 1 root root 1.4M 4月 28 2011 haarcascade_mcs_righteye.xml-rw-r--r-- 1 root root 1.5M 4月 28 2011 haarcascade_mcs_upperbody.xml-rw-r--r-- 1 root root 1.1M 4月 28 2011 haarcascade_profileface.xml-rw-r--r-- 1 root root 317K 4月 28 2011 haarcascade_righteye_2splits.xml-rw-r--r-- 1 root root 1022K 4月 28 2011 haarcascade_upperbody.xml~/usr/share/opencv/haarcascades>>

#include "cv.h"#include "highgui.h"#include <stdio.h>#include <stdlib.h>#include <string.h>#include <assert.h>#include <math.h>#include <float.h>#include <limits.h>#include <time.h>#include <ctype.h>#ifdef _EiC#define WIN32#endifstatic CvMemStorage* storage = 0;static CvHaarClassifierCascade* cascade = 0;void detect_and_draw( IplImage* image );const char* cascade_name ="haarcascade_frontalface_alt.xml";/* "haarcascade_profileface.xml";*/int main( int argc, char** argv ){ CvCapture* capture = 0; IplImage *frame, *frame_copy = 0; int optlen = strlen("--cascade="); const char* input_name; if( argc > 1 && strncmp( argv[1], "--cascade=", optlen ) == 0 ) {  cascade_name = argv[1] + optlen;  input_name = argc > 2 ? argv[2] : 0; } else {  cascade_name = "/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml";  //opencv装好后haarcascade_frontalface_alt2.xml的路径,  //也可以把这个文件拷到你的工程文件夹下然后不用写路径名cascade_name= "haarcascade_frontalface_alt2.xml";   //或者cascade_name ="C://Program Files//OpenCV//data//haarcascades//haarcascade_frontalface_alt2.xml"  input_name = argc > 1 ? argv[1] : 0; } cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 ); if( !cascade ) {  fprintf( stderr, "ERROR: Could not load classifier cascade/n" );  fprintf( stderr,    "Usage: facedetect --cascade=/"<cascade_path>/" [filename|camera_index]/n" );  return -1; } storage = cvCreateMemStorage(0); if( !input_name || (isdigit(input_name[0]) && input_name[1] == '/0') ) capture = cvCaptureFromCAM( !input_name ? 0 : input_name[0] - '0' ); else capture = cvCaptureFromAVI( input_name );  cvNamedWindow( "result", 1 ); if( capture ) {  for(;;)  {   if( !cvGrabFrame( capture ))   break;   frame = cvRetrieveFrame( capture );   if( !frame )   break;   if( !frame_copy )   frame_copy = cvCreateImage( cvSize(frame->width,frame->height),          IPL_DEPTH_8U, frame->nChannels );   if( frame->origin == IPL_ORIGIN_TL )   cvCopy( frame, frame_copy, 0 );   else   cvFlip( frame, frame_copy, 0 );   detect_and_draw( frame_copy );   if( cvWaitKey( 10 ) >= 0 )   break;  }  cvReleaseImage( &frame_copy );  cvReleaseCapture( &capture ); } else {  const char* filename = input_name ? input_name : (char*)"lena.jpg";  IplImage* image = cvLoadImage( filename, 1 );  if( image )  {   detect_and_draw( image );   cvWaitKey(0);   cvReleaseImage( &image );  }  else  {   /* assume it is a text file containing the   list of the image filenames to be processed - one per line */   FILE* f = fopen( filename, "rt" );   if( f )   {    char buf[1000+1];    while( fgets( buf, 1000, f ) )    {     int len = (int)strlen(buf);     while( len > 0 && isspace(buf[len-1]) )     len--;     buf[len] = '/0';     image = cvLoadImage( buf, 1 );     if( image )     {      detect_and_draw( image );      cvWaitKey(0);      cvReleaseImage( &image );     }    }    fclose(f);   }  } } // getchar(); cvDestroyWindow("result"); return 0;}void detect_and_draw( IplImage* img ){ static CvScalar colors[] =  {  {{0,0,255}},  {{0,128,255}},  {{0,255,255}},  {{0,255,0}},  {{255,128,0}},  {{255,255,0}},  {{255,0,0}},  {{255,0,255}} }; double scale = 1.3; IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 ); IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),            cvRound (img->height/scale)),          8, 1 ); int i; cvCvtColor( img, gray, CV_BGR2GRAY ); cvResize( gray, small_img, CV_INTER_LINEAR ); cvEqualizeHist( small_img, small_img ); cvClearMemStorage( storage ); if( cascade ) {  double t = (double)cvGetTickCount();  CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,           1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/,           cvSize(30, 30) );  t = (double)cvGetTickCount() - t;  printf( "detection time = %gms/n", t/((double)cvGetTickFrequency()*1000.) );  for( i = 0; i < (faces ? faces->total : 0); i++ )  {   CvRect* r = (CvRect*)cvGetSeqElem( faces, i );   CvPoint center;   int radius;   center.x = cvRound((r->x + r->width*0.5)*scale);   center.y = cvRound((r->y + r->height*0.5)*scale);   radius = cvRound((r->width + r->height)*0.25*scale);   cvCircle( img, center, radius, colors[i%8], 3, 8, 0 );  } } cvShowImage( "result", img ); cvReleaseImage( &gray ); cvReleaseImage( &small_img );}