📄 aimagestatistics.cpp
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atsFillRandomImageEx( img, &rng_state );
if( depth != IPL_DEPTH_32F ) atsConvert( img, img2 );
for( c = 1; c <= channels; c++ )
{
roi.coi = c;
atsCalcImageStatistics(
depth == IPL_DEPTH_32F ? img : img2, 0,
0, 0, /* min & max vals */
0, 0, /* min & max locs */
0, /* non_zero */
&etalon_result[c-1], /* sum */
0, 0, /* mean & stddev */
0, 0, &etalon_norm[c-1], 0 ); /* c_norm, l1_norm, l2_norm */
}
for( c = 1; c <= channels; c++ )
{
double err0;
double result;
roi.coi = c;
/* //// ROI version /////// */
result = cvSumPixels( img );
err0 = rel_err2( etalon_result[c-1], result, etalon_norm[c-1]);
if( err0 > max_err )
{
merr_w = w;
merr_h = h;
merr_iter = i;
merr_c = c;
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:
img->roi = img2->roi = 0;
atsReleaseImage( img );
atsReleaseImage( img2 );
//if( code == TRS_OK )
{
trsWrite( ATS_LST, "Max err is %g at w = %d, h = %d, "
"iter = %d, c = %d, seed = %08x",
max_err, merr_w, merr_h, merr_iter, merr_c, 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" );
}*/
}
/* ///////////////////// mean_test ///////////////////////// */
static int mean_test( void* arg )
{
double success_error_level = ATS_SUCCESS_ERROR_LEVEL_FLT;
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, merr_c = 0;
/* test parameters */
int w = 0, h = 0, i = 0, c = 0;
double max_err = 0.;
//int code = TRS_OK;
IplROI roi, mask_roi;
IplImage *img, *img2, *mask, *mask2;
AtsRandState rng_state;
atsRandInit( &rng_state, 0, 1, seed );
read_img_stat_params();
if( !(ATS_RANGE( IMGSTAT_MEAN, fn_l, fn_h+1 ) &&
ATS_RANGE( depth, dt_l, dt_h+1 ) &&
ATS_RANGE( channels, ch_l, ch_h+1 ))) return TRS_UNDEF;
depth = depth == 2 ? IPL_DEPTH_32F : depth == 1 ? IPL_DEPTH_8S : IPL_DEPTH_8U;
channels = channels*2 + 1;
img = atsCreateImage( max_img_size, max_img_size, depth, channels, 0 );
img2 = atsCreateImage( max_img_size, max_img_size, IPL_DEPTH_32F, channels, 0 );
mask = atsCreateImage( max_img_size, max_img_size, mask_depth, 1, 0 );
mask2 = atsCreateImage( max_img_size, max_img_size, mask_depth, 1, 0 );
roi.coi = mask_roi.coi = 0;
roi.xOffset = roi.yOffset = 0;
mask_roi.xOffset = mask_roi.yOffset = 0;
img->roi = img2->roi = &roi;
mask->roi = &mask_roi;
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);
roi.width = mask_roi.width = w;
roi.height = mask_roi.height = h;
if( iters < 1 ) iters = 1;
for( i = 0; i < iters; i++ )
{
double etalon_result[3];
double etalon_mask_result[3];
double etalon_norm[3];
double etalon_mask_norm[3];
int mask_pix;
switch( depth )
{
case IPL_DEPTH_8U:
atsRandSetBounds( &rng_state, 0, img8u_range );
break;
case IPL_DEPTH_8S:
atsRandSetBounds( &rng_state, -img8s_range, img8s_range );
break;
case IPL_DEPTH_32F:
atsRandSetBounds( &rng_state, -img32f_range, img32f_range );
atsRandSetFloatBits( &rng_state, img32f_bits );
break;
}
roi.coi = 0;
atsFillRandomImageEx( img, &rng_state );
atsRandSetBounds( &rng_state, 0, 255 );
atsFillRandomImageEx( mask, &rng_state );
iplAndS( mask, mask, mask_mask );
if( depth != IPL_DEPTH_32F ) atsConvert( img, img2 );
for( c = 1; c <= channels; c++ )
{
roi.coi = c;
atsCalcImageStatistics(
depth == IPL_DEPTH_32F ? img : img2, 0,
0, 0, /* min & max vals */
0, 0, /* min & max locs */
0, /* non_zero */
0, /* sum */
&etalon_result[c-1], 0, /* mean & stddev */
0, &etalon_norm[c-1], 0, 0 ); /* c_norm, l1_norm, l2_norm */
atsCalcImageStatistics(
depth == IPL_DEPTH_32F ? img : img2, mask,
0, 0, /* min & max vals */
0, 0, /* min & max locs */
0, /* non_zero */
0, /* sum */
&etalon_mask_result[c-1], 0, /* mean & stddev */
0, &etalon_mask_norm[c-1], 0, &mask_pix ); /* c_norm, l1_norm, l2_norm */
etalon_norm[c-1] /= (w*h);
etalon_mask_norm[c-1] /= MAX(mask_pix,1);
}
for( c = 1; c <= channels; c++ )
{
double err0, err1;
double result;
roi.coi = c;
/* //// ROI version /////// */
result = cvMean( img );
err0 = rel_err2( etalon_result[c-1], result, etalon_norm[c-1] );
/* //// ROI Mask version /////// */
result = cvMeanMask( img, mask );
err1 = rel_err2( etalon_mask_result[c-1], result,
etalon_mask_norm[c-1] );
err0 = MAX( err0, err1 );
if( err0 > max_err )
{
merr_w = w;
merr_h = h;
merr_iter = i;
merr_c = c;
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:
img->roi = img2->roi = mask->roi = 0;
atsReleaseImage( img );
atsReleaseImage( img2 );
atsReleaseImage( mask );
atsReleaseImage( mask2 );
//if( code == TRS_OK )
{
trsWrite( ATS_LST, "Max err is %g at w = %d, h = %d, "
"iter = %d, c = %d, seed = %08x",
max_err, merr_w, merr_h, merr_iter, merr_c, 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" );
}*/
}
/* ///////////////////// mean_test ///////////////////////// */
static int mean_stddev_test( void* arg )
{
double success_error_level = ATS_SUCCESS_ERROR_LEVEL_FLT;
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, merr_c = 0;
/* test parameters */
int w = 0, h = 0, i = 0, c = 0;
double max_err = 0.;
//int code = TRS_OK;
IplROI roi, mask_roi;
IplImage *img, *img2, *mask, *mask2;
AtsRandState rng_state;
atsRandInit( &rng_state, 0, 1, seed );
read_img_stat_params();
if( !(ATS_RANGE( IMGSTAT_MEAN_STDDEV, fn_l, fn_h+1 ) &&
ATS_RANGE( depth, dt_l, dt_h+1 ) &&
ATS_RANGE( channels, ch_l, ch_h+1 ))) return TRS_UNDEF;
depth = depth == 2 ? IPL_DEPTH_32F : depth == 1 ? IPL_DEPTH_8S : IPL_DEPTH_8U;
channels = channels*2 + 1;
img = atsCreateImage( max_img_size, max_img_size, depth, channels, 0 );
img2 = atsCreateImage( max_img_size, max_img_size, IPL_DEPTH_32F, channels, 0 );
mask = atsCreateImage( max_img_size, max_img_size, mask_depth, 1, 0 );
mask2 = atsCreateImage( max_img_size, max_img_size, mask_depth, 1, 0 );
roi.coi = mask_roi.coi = 0;
roi.xOffset = roi.yOffset = 0;
mask_roi.xOffset = mask_roi.yOffset = 0;
img->roi = img2->roi = &roi;
mask->roi = &mask_roi;
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);
roi.width = mask_roi.width = w;
roi.height = mask_roi.height = h;
if( iters < 1 ) iters = 1;
for( i = 0; i < iters; i++ )
{
double etalon_result[6];
double etalon_mask_result[6];
switch( depth )
{
case IPL_DEPTH_8U:
atsRandSetBounds( &rng_state, 0, img8u_range );
break;
case IPL_DEPTH_8S:
atsRandSetBounds( &rng_state, -img8s_range, img8s_range );
break;
case IPL_DEPTH_32F:
atsRandSetBounds( &rng_state, -img32f_range, img32f_range );
atsRandSetFloatBits( &rng_state, img32f_bits );
break;
}
roi.coi = 0;
atsFillRandomImageEx( img, &rng_state );
atsRandSetBounds( &rng_state, 0, 255 );
atsFillRandomImageEx( mask, &rng_state );
iplAndS( mask, mask, mask_mask );
if( depth != IPL_DEPTH_32F ) atsConvert( img, img2 );
for( c = 1; c <= channels; c++ )
{
roi.coi = c;
atsCalcImageStatistics(
depth == IPL_DEPTH_32F ? img : img2, 0,
0, 0, /* min & max vals */
0, 0, /* min & max locs */
0, /* non_zero */
0, /* sum */
&etalon_result[2*c-2], &etalon_result[2*c-1], /* mean & stddev */
0, 0, 0, 0 ); /* c_norm, l1_norm, l2_norm */
atsCalcImageStatistics(
depth == IPL_DEPTH_32F ? img : img2, mask,
0, 0, /* min & max vals */
0, 0, /* min & max locs */
0, /* non_zero */
0, /* sum */
&etalon_mask_result[2*c-2],
&etalon_mask_result[2*c-1], /* mean & stddev */
0, 0, 0, 0 ); /* c_norm, l1_norm, l2_norm */
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