ubuntuopencv编译卡住（大神手把手教你如何在ubuntu12.04下编译opencv）

1、在ubuntu下安装好 opencv后(建议使用apt-get install 来安装)

2、使用程序FaceExaple.c来进行测试程序

#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 ="/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml";

int main( int argc, char** argv )

{

Cvcapture* capture = 0;

IplImage *frame, *frame_copy = 0;

int optlen = strlen("--cascade=");

const char* input_name;

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,0 );

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 = (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);

}

}

}

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,cvSize(20, 20),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 );

}

3、编译程序

<1>错误一

gcc -o FaceExample FaceExample.c

<2>错误二

gcc `pkg-config opencv --cflags --libs opencv` -o FaceExample FaceExample.c

以上原因都是由于头文件及库没有加载进去造成

gcc `pkg-config opencv --cflags --libs opencv` -o FaceExample FaceExample.c -I /usr/local/include/opencv -L /usr/local/lib -lopencv_core -lopencv_highgui -lopencv_imgproc -lopencv_gpu -lopencv_ts -lopencv_video -lopencv_objdetect -lopencv_ml -lpthread –lrt

成功！

4、运行程序 ./FaceExample

5、可以看到效果了！

原创：卧龙会 大漠苍狼 原CSDN作者：跟着梦的脚步走

卧龙会，卧虎藏龙，IT高手汇聚！由多名十几年的IT技术设计师组成，欢迎关注！

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