aconvert.cpp

微软的基于HMM的人脸识别原代码, 非常经典的说

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#include <stdlib.h>
#include <assert.h>
#include <limits.h>
#include <float.h>

#include "CvTest.h"

static char* funcs[] =
{
    "cvCvtPixToPlane",
    "cvCvtPlaneToPix",

    "cvConvertScale"
};

static char *test_desc = "Test of conversion functions using IPL";

/* actual parameters */
static int min_img_size, max_img_size;
static int img_size_delta_type, img_size_delta;
static int base_iters;

/* which tests have to run */
static int dt_l = 0, dt_h = 1,
           ch_l = 0, ch_h = 1;

static int init_cvt_params = 0;

static const int img8u_range = 256;
static const int img8s_range = 128;
static const int img16s_range = 32768;
static const float img32f_range = 1000.f;
static const int img32f_bits = 23;

static void read_cvt_params( void )
{
    if( !init_cvt_params )
    {
        int  data_types, channels;

        /* Determine which tests are needed to run */
        trsCaseRead( &data_types,"/a/8u/32f", "a",
            "a - all, 8u - unsigned char, 32f - float" );
        if( data_types != 0 ) dt_l = dt_h = data_types - 1;

        trsCaseRead( &channels, "/a/3/4", "a", "a - all, 3 - three channels, 4 - four channels" );
        if( channels != 0 ) ch_l = ch_h = channels - 1;

        /* read tests params */
        trsiRead( &min_img_size, "1", "Minimal width or height of image" );
        trsiRead( &max_img_size, "1000", "Maximal width or height of image" );
        trsCaseRead( &img_size_delta_type,"/a/m", "m", "a - add, m - multiply" );
        trsiRead( &img_size_delta, "3", "Image size step(factor)" );
        trsiRead( &base_iters, "1000", "Base number of iterations" );

        init_cvt_params = 1;
    }
}


/* ///////////////////// cvt_pix_to_plane_test ///////////////////////// */

static int cvt_pix_to_plane_test( void* arg )
{
    const int success_error_level = 0;

    int   param     = (int)arg;
    int   depth     = param/2;
    int   channels  = (param & 1);

    int   seed      = atsGetSeed();

    /* position where the maximum error occured */
    int   merr_w = 0, merr_h = 0, merr_iter = 0;

    /* test parameters */
    int     w = 0, h = 0, i = 0, c = 0;
    double  max_err = 0.;
    //int     code = TRS_OK;

    IplROI       src_roi, dst_roi;
    IplImage    *src_img, *dst_img[8];
    AtsRandState rng_state;

    atsRandInit( &rng_state, 0, 1, seed );

    read_cvt_params();

    if( !(ATS_RANGE( depth, dt_l, dt_h+1 ) &&
          ATS_RANGE( channels, ch_l, ch_h+1 ))) return TRS_UNDEF;

    depth = depth == 1 ? IPL_DEPTH_32F : IPL_DEPTH_8U;
    channels += 3;

    src_img = atsCreateImage( max_img_size, max_img_size, depth, channels, 0 );
    src_img->roi = &src_roi;

    for( i = 0; i < channels*2; i++ )
    {
        dst_img[i] = atsCreateImage( max_img_size, max_img_size, depth, 1, 0 );
        dst_img[i]->roi = &dst_roi;
    }

    src_roi.coi = dst_roi.coi = 0;
    src_roi.xOffset = src_roi.yOffset = 
    dst_roi.xOffset = dst_roi.yOffset = 0;

    for( h = min_img_size; h <= max_img_size; )
    {
        for( w = min_img_size; w <= max_img_size; )
        {
            int      denom = (w - min_img_size + 1)*(h - min_img_size + 1)*channels;
            int      iters = (base_iters*2 + denom)/(2*denom);

            src_roi.width = dst_roi.width = w;
            src_roi.height = dst_roi.height = h;

            if( iters < 1 ) iters = 1;

            for( i = 0; i < iters; i++ )
            {
                double err0 = 0, err;

                switch( depth )
                {
                case IPL_DEPTH_8U:
                    atsRandSetBounds( &rng_state, 0, img8u_range );
                    break;
                case IPL_DEPTH_32F:
                    atsRandSetBounds( &rng_state, -img32f_range, img32f_range );
                    atsRandSetFloatBits( &rng_state, img32f_bits );
                    break;
                }

                src_roi.coi = 0;
                atsFillRandomImageEx( src_img, &rng_state );

                /* convert to planar repr. via IPL and via IPPICVL (single plane mode) */
                for( c = 1; c <= channels; c++ )
                {

                    IplImage* dst[4];
                    src_roi.coi = c;
                    iplCopy( src_img, dst_img[c-1] );

                    memset( dst, 0, sizeof(dst));
                    dst[c-1] = dst_img[channels];

                    cvCvtPixToPlane( src_img, dst[0], dst[1], dst[2], dst[3] );

                    err = iplNorm( dst_img[c-1], dst_img[channels], IPL_C );
                    err0 = MAX( err0, err );
                }

                /* convert all */
                cvCvtPixToPlane( src_img, dst_img[channels], dst_img[channels + 1],
                                 dst_img[channels + 2], channels == 4 ? 
                                 dst_img[channels + 3] : 0 );

                for( c = 1; c <= channels; c++ )
                {
                    err = iplNorm( dst_img[c-1], dst_img[channels + c - 1], IPL_C );
                    err0 = MAX( err0, err );
                }

                if( err0 > max_err )
                {
                    merr_w    = w;
                    merr_h    = h;
                    merr_iter = i;
                    max_err   = err0;
                    if( max_err > success_error_level ) goto test_exit;
                }
            }
            ATS_INCREASE( w, img_size_delta_type, img_size_delta );
        } /* end of the loop by w */

        ATS_INCREASE( h, img_size_delta_type, img_size_delta );
    }  /* end of the loop by h */

test_exit:

    for( i = 0; i < 2*channels; i++ )
    {
        dst_img[i]->roi = 0;
        atsReleaseImage( dst_img[i] );
    }
    
    src_img->roi = 0;
    atsReleaseImage( src_img );

    //if( code == TRS_OK )
    {
        trsWrite( ATS_LST, "Max err is %g at w = %d, h = %d, "
                           "iter = %d, seed = %08x",
                           max_err, merr_w, merr_h, merr_iter, seed );

        return max_err <= success_error_level ?
            trsResult( TRS_OK, "No errors" ) :
            trsResult( TRS_FAIL, "Bad accuracy" );
    }
    /*else
    {
        trsWrite( ATS_LST, "Fatal error at w = %d, h = %d, "
                           "iter = %d, c = %d, seed = %08x",
                           w, h, i, c, seed );
        return trsResult( TRS_FAIL, "Function returns error code" );
    }*/
}


/* ///////////////////// cvt_plane_to_pix_test ///////////////////////// */

static int cvt_plane_to_pix_test( void* arg )
{
    const int success_error_level = 0;

    int   param     = (int)arg;
    int   depth     = param/2;
    int   channels  = param & 1;

    int   seed      = atsGetSeed();

    /* position where the maximum error occured */
    int   merr_w = 0, merr_h = 0, merr_iter = 0;

    /* test parameters */
    int     w = 0, h = 0, i = 0, c = 0;
    double  max_err = 0.;
    //int     code = TRS_OK;

    IplROI       src_roi, dst_roi;
    IplImage    *dst_img, *dst2_img, *src_img[4];
    AtsRandState rng_state;

    atsRandInit( &rng_state, 0, 1, seed );

    read_cvt_params();

    if( !(ATS_RANGE( depth, dt_l, dt_h+1 ) &&
          ATS_RANGE( channels, ch_l, ch_h+1 ))) return TRS_UNDEF;

    depth = depth == 1 ? IPL_DEPTH_32F : IPL_DEPTH_8U;
    channels += 3;

    dst_img  = atsCreateImage( max_img_size, max_img_size, depth, channels, 0 );
    dst2_img = atsCreateImage( max_img_size, max_img_size, depth, channels, 0 );
    dst_img->roi = dst2_img->roi = &dst_roi;

    for( i = 0; i < channels; i++ )
    {
        src_img[i] = atsCreateImage( max_img_size, max_img_size, depth, 1, 0 );