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Beginner
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IPP 7.0 doesn't work with VS2008

Hello,

I wanted to run IPP 7.0 in VS2008. I have Win7 X64 and installed Parallel Studio XE 2011 with VS2008 completly for X64 and X86.

I tried to validate IPP in VS2008 on win32 platform with:
[bash]
#include   
#include "ippcore.h"

void main(){

	const IppLibraryVersion *libver =0;

	libver =	ippGetLibVersion();
	printf("Lib: %s", libver);
	while(1){		//that I can read the output
	}
}[/bash]
Environment variables:
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\intel64\\tbb\\vc9;
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\intel64\\ipp;
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\ia32\\ipp;
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\intel64\\mkl;
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\ia32\\mkl;
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\ipp\\bin\\ia32;

Executables:
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\ia32\\ipp
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\redist\\ia32\\compiler
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\ipp\\bin\\ia32
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\ipp\\bin\\intel64
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\ipp\\bin

Include:
E:\\Program Files (x86)\\Intel\\ComposerXE-2011\\tbb\\include
e:\\Program Files (x86)\\Intel\\ComposerXE-2011\\compiler\\include
e:\\Program Files (x86)\\Intel\\ComposerXE-2011\\ipp\\include

lib:
e:\\Program Files (x86)\\Intel\\ComposerXE-2011\\compiler\\lib\\ia32

I enabled "Use IPP" for Release and Debug in Project --> Intel C++ Composer XE 2011 -->Select Build Components.

It compiled without any problems but the only output ist "Lib:".
I also ran the ippiDemo.exe without any problems.
Why doesn't the IppGetLibVersion work? Can anybody help me? I need IPP for my master's thesis to accelerate openCV functions...

Thanks a lot!
Andy


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3 Replies
Highlighted
Employee
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Hi Andy,

Change print statement

printf("%s %s\n", libver->Name, libver->Version);

OR
If you are looking into active version of Intel IPP signal processing software, then try this


void libinfo(void) {

const IppLibraryVersion* lib = ippsGetLibVersion();

printf(%s %s %d.%d.%d.%d\n, lib->Name, lib->Version,

lib->major, lib->minor, lib->majorBuild, lib->build);

}

Output will be,

ippsa6 v0.0 Alpha

0.0.5.5

Regards,
Naveen Gv

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Highlighted
Beginner
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Hi Naveen,

thank you very much! Now I get the right output.

How can i measure the acceleration of IPP? The cpu load won't change, will it?
I have an I3 M370@2.4Ghz cpu and a load of 20% for this process.

This is my code to capture a USB camera and to distort the frames:

main:
[cpp]#include 
#include   
#include "ipp.h"
#include "cv.h" 
#include "highgui.h" 
#include "ocam_functions.h"

#define _USE_MATH_DEFINES

int i;
int n=0;
int width=640;
int height=480;
int fps=0;

float sf = 4;
struct ocam_model o, o_cata; // ocam_models for the fisheye and catadioptric cameras


int main(int argc, char *argv[]){


	//const IppLibraryVersion *libver =0;

	//libver =	ippGetLibVersion();
	//printf("%s %sn", libver->Name, libver->Version);


	/* --------------------------------------------------------------------*/
	/* Read the parameters of the omnidirectional camera from the TXT file */
	/* --------------------------------------------------------------------*/
	//struct ocam_model o, o_cata; // our ocam_models for the fisheye and catadioptric cameras
	get_ocam_model(&o, "./calib_results.txt");  
 

	//initilize camera
        CvCapture* capture = cvCaptureFromCAM( CV_CAP_ANY );   
	if( !capture ) {     fprintf( stderr, "ERROR: capture is NULL n" );     
		
	getchar();     
	return -1;   }
	
	//Set camera parameters
	cvSetCaptureProperty(capture ,CV_CAP_PROP_FRAME_WIDTH , width);
        cvSetCaptureProperty(capture ,CV_CAP_PROP_FRAME_HEIGHT , height);
        cvSetCaptureProperty(capture ,CV_CAP_PROP_FPS , fps); 

	
	// Create a window in which the captured images will be presented   
	cvNamedWindow( "distorted", CV_WINDOW_AUTOSIZE ); 
	//cvNamedWindow( "original", CV_WINDOW_AUTOSIZE );    

	/* --------------------------------------------------------------------*/  
	/* Allocate space for the unistorted images                            */
	/* --------------------------------------------------------------------*/  
	IplImage* frame = cvQueryFrame( capture );
	IplImage *dst_persp   = cvCreateImage( cvGetSize(frame), 8, 3 );   // undistorted   perspective and panoramic image
		

	// Show the image captured from the camera in the window and repeat   
	while( 1 ) {     

			// Get one frame     
			IplImage* frame = cvQueryFrame( capture ); 

				if( !frame ){ fprintf( stderr, "ERROR: frame is null...n" );   

			getchar();       
			break;     }      

	  
	  
		
	  CvMat* mapx_persp = cvCreateMat(frame->height, frame->width, CV_32FC1);
	  CvMat* mapy_persp = cvCreateMat(frame->height, frame->width, CV_32FC1);

	  create_perspecive_undistortion_LUT( mapx_persp, mapy_persp, &o, sf );

	  cvRemap( frame, dst_persp, mapx_persp, mapy_persp, CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, cvScalarAll(0) );

	  cvShowImage( "distorted", dst_persp );     // Do not release the frame!      
	  //cvShowImage( "original", frame );	


	//If ESC key pressed, Key=0x10001B under OpenCV 0.9.7(linux version),     //remove higher bits using AND operator     
	if( (cvWaitKey(10) & 255) == 27 ) {
		
				       
		// Release the capture device housekeeping   
		cvReleaseCapture( &capture );   
		cvDestroyWindow( "distorted" );  
		//cvDestroyWindow( "original" );
		break;}
	
}return 0;
}[/cpp]

ocam_functions.cpp:
[cpp]#define _USE_MATH_DEFINES
#include 
#include "ocam_functions.h"

//------------------------------------------------------------------------------
int get_ocam_model(struct ocam_model *myocam_model, char *filename)
{
 double *pol        = myocam_model->pol;
 double *invpol     = myocam_model->invpol; 
 double *xc         = &(myocam_model->xc);
 double *yc         = &(myocam_model->yc); 
 double *c          = &(myocam_model->c);
 double *d          = &(myocam_model->d);
 double *e          = &(myocam_model->e);
 int    *width      = &(myocam_model->width);
 int    *height     = &(myocam_model->height);
 int *length_pol    = &(myocam_model->length_pol);
 int *length_invpol = &(myocam_model->length_invpol);
 FILE *f;
 char buf[CMV_MAX_BUF];
 int i;
 
 //Open file
 if(!(f=fopen(filename,"r")))
 {
   printf("File %s cannot be openedn", filename);				  
   return -1;
 }
 
 //Read polynomial coefficients
 fgets(buf,CMV_MAX_BUF,f);
 fscanf(f,"n");
 fscanf(f,"%d", length_pol);
 for (i = 0; i < *length_pol; i++)
 {
     fscanf(f," %lf",&pol);
 }

 //Read inverse polynomial coefficients
 fscanf(f,"n");
 fgets(buf,CMV_MAX_BUF,f);
 fscanf(f,"n");
 fscanf(f,"%d", length_invpol);
 for (i = 0; i < *length_invpol; i++)
 {
     fscanf(f," %lf",&invpol);
 }
 
 //Read center coordinates
 fscanf(f,"n");
 fgets(buf,CMV_MAX_BUF,f);
 fscanf(f,"n");
 fscanf(f,"%lf %lfn", xc, yc);

 //Read affine coefficients
 fgets(buf,CMV_MAX_BUF,f);
 fscanf(f,"n");
 fscanf(f,"%lf %lf %lfn", c,d,e);

 //Read image size
 fgets(buf,CMV_MAX_BUF,f);
 fscanf(f,"n");
 fscanf(f,"%d %d", height, width);

 fclose(f);
 return 0;
}

//------------------------------------------------------------------------------
void cam2world(double point3D[3], double point2D[2], struct ocam_model *myocam_model)
{
 double *pol    = myocam_model->pol;
 double xc      = (myocam_model->xc);
 double yc      = (myocam_model->yc); 
 double c       = (myocam_model->c);
 double d       = (myocam_model->d);
 double e       = (myocam_model->e);
 int length_pol = (myocam_model->length_pol); 
 double invdet  = 1/(c-d*e); // 1/det(A), where A = [c,d;e,1] as in the Matlab file

 double xp = invdet*(    (point2D[0] - xc) - d*(point2D[1] - yc) );
 double yp = invdet*( -e*(point2D[0] - xc) + c*(point2D[1] - yc) );
  
 double r   = sqrt(  xp*xp + yp*yp ); //distance [pixels] of  the point from the image center
 double zp  = pol[0];
 double r_i = 1;
 int i;
 
 for (i = 1; i < length_pol; i++)
 {
   r_i *= r;
   zp  += r_i*pol;
 }
 
 //normalize to unit norm
 double invnorm = 1/sqrt( xp*xp + yp*yp + zp*zp );
 
 point3D[0] = invnorm*xp;
 point3D[1] = invnorm*yp; 
 point3D[2] = invnorm*zp;
}

//------------------------------------------------------------------------------
void world2cam(double point2D[2], double point3D[3], struct ocam_model *myocam_model)
{
 double *invpol     = myocam_model->invpol; 
 double xc          = (myocam_model->xc);
 double yc          = (myocam_model->yc); 
 double c           = (myocam_model->c);
 double d           = (myocam_model->d);
 double e           = (myocam_model->e);
 int    width       = (myocam_model->width);
 int    height      = (myocam_model->height);
 int length_invpol  = (myocam_model->length_invpol);
 double norm        = sqrt(point3D[0]*point3D[0] + point3D[1]*point3D[1]);
 double theta       = atan(point3D[2]/norm);
 double t, t_i;
 double rho, x, y;
 double invnorm;
 int i;
  
  if (norm != 0) 
  {
    invnorm = 1/norm;
    t  = theta;
    rho = invpol[0];
    t_i = 1;

    for (i = 1; i < length_invpol; i++)
    {
      t_i *= t;
      rho += t_i*invpol;
    }

    x = point3D[0]*invnorm*rho;
    y = point3D[1]*invnorm*rho;
  
    point2D[0] = x*c + y*d + xc;
    point2D[1] = x*e + y   + yc;
  }
  else
  {
    point2D[0] = xc;
    point2D[1] = yc;
  }
}
//------------------------------------------------------------------------------
void create_perspecive_undistortion_LUT( CvMat *mapx, CvMat *mapy, struct ocam_model *ocam_model, float sf)
{
     int i, j;
     int width = mapx->cols; //New width
     int height = mapx->rows;//New height     
     float *data_mapx = mapx->data.fl;
     float *data_mapy = mapy->data.fl;
     float Nxc = height/2.0;
     float Nyc = width/2.0;
     float Nz  = -width/sf;
     double M[3];
     double m[2];
     
     for (i=0; i 
header ocam_functions.h:
[bash]/*------------------------------------------------------------------------------
   Example code that shows the use of the 'cam2world" and 'world2cam" functions
   Shows also how to undistort images into perspective or panoramic images
------------------------------------------------------------------------------*/

#include 
#include 
#include 
#include 
#include 
#include 


#define CMV_MAX_BUF 1024
#define MAX_POL_LENGTH 64

struct ocam_model
{
  double pol[MAX_POL_LENGTH];    // the polynomial coefficients: pol[0] + x"pol[1] + x^2*pol[2] + ... + x^(N-1)*pol[N-1]
  int length_pol;                // length of polynomial
  double invpol[MAX_POL_LENGTH]; // the coefficients of the inverse polynomial
  int length_invpol;             // length of inverse polynomial
  double xc;         // row coordinate of the center
  double yc;         // column coordinate of the center
  double c;          // affine parameter
  double d;          // affine parameter
  double e;          // affine parameter
  int width;         // image width
  int height;        // image height
};


/*------------------------------------------------------------------------------
 This function reads the parameters of the omnidirectional camera model from 
 a given TXT file
------------------------------------------------------------------------------*/
int get_ocam_model(struct ocam_model *myocam_model, char *filename);

/*------------------------------------------------------------------------------
 WORLD2CAM projects a 3D point on to the image
    WORLD2CAM(POINT2D, POINT3D, OCAM_MODEL) 
    projects a 3D point (point3D) on to the image and returns the pixel coordinates (point2D).
    
    POINT3D = [X;Y;Z] are the coordinates of the 3D point.
    OCAM_MODEL is the model of the calibrated camera.
    POINT2D = [rows;cols] are the pixel coordinates of the reprojected point
  
    NOTE: the coordinates of "point2D" and "center" are already according to the C
    convention, that is, start from 0 instead than from 1.
------------------------------------------------------------------------------*/
void world2cam(double point2D[2], double point3D[3], struct ocam_model *myocam_model);

/*------------------------------------------------------------------------------
 CAM2WORLD projects a 2D point onto the unit sphere
    CAM2WORLD(POINT3D, POINT2D, OCAM_MODEL) 
    back-projects a 2D point (point2D), in pixels coordinates, 
    onto the unit sphere returns the normalized coordinates point3D = [x;y;z]
    where (x^2 + y^2 + z^2) = 1.
    
    POINT3D = [X;Y;Z] are the coordinates of the 3D points, such that (x^2 + y^2 + z^2) = 1.
    OCAM_MODEL is the model of the calibrated camera.
    POINT2D = [rows;cols] are the pixel coordinates of the point in pixels
    
    Copyright (C) 2009 DAVIDE SCARAMUZZA   
    Author: Davide Scaramuzza - email: davide.scaramuzza@ieee.org
  
    NOTE: the coordinates of "point2D" and "center" are already according to the C
    convention, that is, start from 0 instead than from 1.
------------------------------------------------------------------------------*/
void cam2world(double point3D[3], double point2D[2], struct ocam_model *myocam_model);
/*------------------------------------------------------------------------------
 Create Look Up Table for undistorting the image into a perspective image 
 It assumes the the final image plane is perpendicular to the camera axis
------------------------------------------------------------------------------*/
void create_perspecive_undistortion_LUT( CvMat *mapx, CvMat *mapy, struct ocam_model *ocam_model, float sf);

/*------------------------------------------------------------------------------
 Create Look Up Table for undistorting the image into a panoramic image 
 It computes a trasformation from cartesian to polar coordinates
 Therefore it does not need the calibration parameters
 The region to undistorted in contained between Rmin and Rmax
 xc, yc are the row and column coordinates of the image center
------------------------------------------------------------------------------*/
void create_panoramic_undistortion_LUT ( CvMat *mapx, CvMat *mapy, float Rmin, float Rmax, float xc, float yc );
[/bash]

additional dependencies:
cv210d.lib
cvaux210d.lib
cxcore210d.lib
highgui210d.lib
ml210d.lib
freeglut.lib
opengl32.lib

Is there anything else I have to include for IPP support?

Thanks a lot and sorry for my mistakes. I'm only a German mechanical engineer ;-)
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Highlighted
Employee
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Hi,

You can take an advantage of IPP optimization from your OpenCV application, Please refer to Knowledge Base article

Regards,

Naveen Gv

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