opencv/tests/cv/src/aemd.cpp

123 lines
3.8 KiB
C++

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#include "cvtest.h"
/*////////////////////// emd_test /////////////////////////*/
typedef struct matr_info
{
float* x_origin;
float* y_origin;
float* matr;
int rows;
int cols;
}
matr_info;
static float matr_dist( const float* x, const float* y, void* param )
{
matr_info* mi = (matr_info*)param;
int i = (int)(x - mi->x_origin) - 1;
int j = (int)(y - mi->y_origin) - 1;
assert( 0 <= i && i < mi->rows &&
0 <= j && j < mi->cols );
return mi->matr[i*mi->cols + j];
}
class CV_EMDTest : public CvTest
{
public:
CV_EMDTest();
protected:
void run(int);
};
CV_EMDTest::CV_EMDTest():
CvTest( "emd", "cvCalcEMD" )
{
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
}
void CV_EMDTest::run( int )
{
int code = CvTS::OK;
const double success_error_level = 1e-6;
#define M 10000
double emd0 = 2460./210;
static float cost[] =
{
16, 16, 13, 22, 17,
14, 14, 13, 19, 15,
19, 19, 20, 23, M,
M , 0, M, 0, 0
};
static float w1[] = { 50, 60, 50, 50 },
w2[] = { 30, 20, 70, 30, 60 };
matr_info mi;
float emd;
mi.x_origin = w1;
mi.y_origin = w2;
mi.rows = sizeof(w1)/sizeof(w1[0]);
mi.cols = sizeof(w2)/sizeof(w2[0]);
mi.matr = cost;
emd = cvCalcEMD( w1, mi.rows, w2, mi.cols, 0, (CvDisType)-1,
matr_dist, 0, &mi );
if( fabs( emd - emd0 ) > success_error_level*emd0 )
{
ts->printf( CvTS::LOG,
"The computed distance is %.2f, while it should be %.2f\n", emd, emd0 );
code = CvTS::FAIL_BAD_ACCURACY;
}
if( code < 0 )
ts->set_failed_test_info( code );
}
CV_EMDTest emd_test;
/* End of file. */