/* 
// Copyright 2015 2016 Intel Corporation All Rights Reserved.
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*/

// A simple example of calculating eigen values and eigen vectors
// using Intel IPP functions:
//     ippiEigenValsVecsGetBufferSize_8u32f_C1R
//     ippiEigenValsVecs_8u32f_C1R


#include <stdio.h>
#include "ipp.h"

/* Next two defines are created to simplify code reading and understanding */
#define EXIT_MAIN exitLine:                                  /* Label for Exit */
#define check_sts(st) if((st) != ippStsNoErr) goto exitLine; /* Go to Exit if IPP function returned status different from ippStsNoErr */

/* Results of ippMalloc() are not validated because Intel(R) Integrated Performance Primitives functions perform bad arguments check and will return an appropriate status  */

int main(void)
{
    IppStatus status = ippStsNoErr;
    Ipp8u pSrc[4 * 3] = /* Pointers to source images */
    { 2, 17,  2, 21,
      9,  4, 11,  5,
      2, 32,  7,  2 };
    Ipp32f pEigenVV[24 * 3];    /* Image of eigen values and eigen vectors */
    IppiSize roiSize = { 4, 3 };/* Size of source ROI in pixels */
    int apertureSize = 3;       /* Linear size of derivative filter aperture */
    int avgWindow    = 3;       /* Linear size of averaging window */
    int pBufferSize  = 0;       /* Pointer to work buffer */
    Ipp8u* pBuffer = NULL;

    /* Calculate size of temporary buffer */
    check_sts( status = ippiEigenValsVecsGetBufferSize_8u32f_C1R(roiSize, apertureSize, avgWindow, &pBufferSize) )

    pBuffer = ippsMalloc_8u(pBufferSize);

    /*  Calculate both eigen values and eigen vectors of 2x2 autocorrelation */
    /*  Gradient matrix for every pixel. */
    check_sts( status = ippiEigenValsVecs_8u32f_C1R(pSrc, 4, pEigenVV, 24 * sizeof(Ipp32f), roiSize, ippKernelSobel, apertureSize, avgWindow, pBuffer) )

EXIT_MAIN
    ippsFree(pBuffer);
    printf("Exit status %d (%s)\n", (int)status, ippGetStatusString(status));
    return (int)status;
}