我原来在Ubuntu虚拟机上做了一个opencv人脸检测的程序,用C++写的,其实很简单,就是每隔10ms通过摄像头抓取一帧图片,然后标记出人脸的位置
然后我在万博网页版登陆页派上安装了opencv库,但是编译运行这个程序的时候,本来每隔10ms一个循环的,但是实际上大概六七秒才完成一个循环,这个到底是哪里的问题,应该不是万博网页版登陆页派性能问题吧,我在网上看到国内外很多用万博网页版登陆页派做类似的人脸检测的,都很流畅,各位了解的帮我看一下吧
#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
#endif
static CvMemStorage* storage = 0;
static CvHaarClassifierCascade* cascade = 0;
void detect_and_draw( IplImage* image );
const char* cascade_name =
"/Users/ang/Documents/workspace/eye/src/haarcascade_frontalface_alt.xml";
/* "haarcascade_profileface.xml";*/
int main( int argc, char** argv )
{
// cascade_name = "haarcascade_frontalface_alt2.xml";
cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );
if( !cascade )
{
fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
return -1;
}
storage = cvCreateMemStorage(0);
cvNamedWindow( "result", 1 );
cvNamedWindow("source",1);
CvCapture *capture = cvCaptureFromCAM(0);
if(!capture)
printf("\n");
IplImage* image = NULL;
char key = cvWaitKey(10);
while( key != 'Q' && key != 'q' )
{
image = cvQueryFrame(capture);
if(!image)
{
printf("image NULL");
continue;
}
std::cout<<"width"<<image->width<<std::endl;
std::cout<<"height"<<image->height<<std::endl;
//cvShowImage("source",image);
detect_and_draw( image );
key = cvWaitKey(10);
//cvReleaseImage( &image );
}
cvReleaseImage( &image );
cvDestroyWindow("source");
cvDestroyWindow("result");
return 0;
}
void detect_and_draw(IplImage* img )
{
double scale=1.2;
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}}
};//Just some pretty colors to draw with
//Image Preparation
//
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);
cvCvtColor(img,gray, CV_BGR2GRAY);
cvResize(gray, small_img, CV_INTER_LINEAR);
cvEqualizeHist(small_img,small_img);
//Detect objects if any
//
cvClearMemStorage(storage);
double t = (double)cvGetTickCount();
CvSeq* objects = 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.) );
//Loop through found objects and draw boxes around them
for(int i=0;i<(objects? objects->total:0);++i)
{
CvRect* r=(CvRect*)cvGetSeqElem(objects,i);
cvRectangle(img, cvPoint(r->x*scale,r->y*scale), cvPoint((r->x+r->width)*scale,(r->y+r->height)*scale), colors[i%8]);
}
for( int i = 0; i < (objects? objects->total : 0); i++ )
{
CvRect* r = (CvRect*)cvGetSeqElem( objects, 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);
}