int CV_CalcBackProjectTest::validate_test_results( int /*test_case_idx*/ )
{
int code = CvTS::OK;
cvTsCalcBackProject( images, images[CV_MAX_DIM+2], hist[0], channels );
code = cvTsCmpEps2( ts, images[CV_MAX_DIM+1], images[CV_MAX_DIM+2], 0, true,
"Back project image" );
if( code < 0 )
ts->set_failed_test_info( code );
return code;
}
int CV_CalcBackProjectPatchTest::validate_test_results( int /*test_case_idx*/ )
{
int code = CvTS::OK;
double err_level = 5e-3;
cvTsCalcBackProjectPatch( images, images[CV_MAX_DIM+1],
patch_size, hist[0], method, factor, channels );
code = cvTsCmpEps2( ts, images[CV_MAX_DIM], images[CV_MAX_DIM+1], err_level, true,
"BackProjectPatch result" );
if( code < 0 )
ts->set_failed_test_info( code );
return code;
}
void CV_PyrSegmentationTest::run( int /*start_from*/ )
{
const int level = 5;
const double range = 20;
int code = CvTS::OK;
CvPoint _cp[] ={{33,33}, {43,33}, {43,43}, {33,43}};
CvPoint _cp2[] ={{50,50}, {70,50}, {70,70}, {50,70}};
CvPoint* cp = _cp;
CvPoint* cp2 = _cp2;
CvConnectedComp *dst_comp[3];
CvRect rect[3] = {{50,50,21,21}, {0,0,128,128}, {33,33,11,11}};
double a[3] = {441.0, 15822.0, 121.0};
/* ippiPoint cp3[] ={130,130, 150,130, 150,150, 130,150}; */
/* CvPoint cp[] ={0,0, 5,5, 5,0, 10,5, 10,0, 15,5, 15,0}; */
int nPoints = 4;
int block_size = 1000;
CvMemStorage *storage; /* storage for connected component writing */
CvSeq *comp;
CvRNG* rng = ts->get_rng();
int i, j, iter;
IplImage *image, *image_f, *image_s;
CvSize size = {128, 128};
const int threshold1 = 50, threshold2 = 50;
rect[1].width = size.width;
rect[1].height = size.height;
a[1] = size.width*size.height - a[0] - a[2];
OPENCV_CALL( storage = cvCreateMemStorage( block_size ) );
for( iter = 0; iter < 2; iter++ )
{
int channels = iter == 0 ? 1 : 3;
int mask[] = {0,0,0};
image = cvCreateImage(size, 8, channels );
image_s = cvCloneImage( image );
image_f = cvCloneImage( image );
if( channels == 1 )
{
int color1 = 30, color2 = 110, color3 = 180;
cvSet( image, cvScalarAll(color1));
cvFillPoly( image, &cp, &nPoints, 1, cvScalar(color2));
cvFillPoly( image, &cp2, &nPoints, 1, cvScalar(color3));
}
else
{
CvScalar color1 = CV_RGB(30,30,30), color2 = CV_RGB(255,0,0), color3 = CV_RGB(0,255,0);
assert( channels == 3 );
cvSet( image, color1 );
cvFillPoly( image, &cp, &nPoints, 1, color2);
cvFillPoly( image, &cp2, &nPoints, 1, color3);
}
cvRandArr( rng, image_f, CV_RAND_UNI, cvScalarAll(0), cvScalarAll(range*2) );
cvAddWeighted( image, 1, image_f, 1, -range, image_f );
cvPyrSegmentation( image_f, image_s,
storage, &comp,
level, threshold1, threshold2 );
if(comp->total != 3)
{
ts->printf( CvTS::LOG,
"The segmentation function returned %d (not 3) components\n", comp->total );
code = CvTS::FAIL_INVALID_OUTPUT;
goto _exit_;
}
/* read the connected components */
dst_comp[0] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 0 );
dst_comp[1] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 1 );
dst_comp[2] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 2 );
/*{
for( i = 0; i < 3; i++ )
{
CvRect r = dst_comp[i]->rect;
cvRectangle( image_s, cvPoint(r.x,r.y), cvPoint(r.x+r.width,r.y+r.height),
CV_RGB(255,255,255), 3, 8, 0 );
}
cvNamedWindow( "test", 1 );
cvShowImage( "test", image_s );
cvWaitKey(0);
}*/
code = cvTsCmpEps2( ts, image, image_s, 10, false, "the output image" );
if( code < 0 )
goto _exit_;
for( i = 0; i < 3; i++)
{
for( j = 0; j < 3; j++ )
{
if( !mask[j] && dst_comp[i]->area == a[j] &&
dst_comp[i]->rect.x == rect[j].x &&
dst_comp[i]->rect.y == rect[j].y &&
dst_comp[i]->rect.width == rect[j].width &&
dst_comp[i]->rect.height == rect[j].height )
{
mask[j] = 1;
break;
}
}
if( j == 3 )
{
ts->printf( CvTS::LOG, "The component #%d is incorrect\n", i );
code = CvTS::FAIL_BAD_ACCURACY;
goto _exit_;
}
}
cvReleaseImage(&image_f);
cvReleaseImage(&image);
cvReleaseImage(&image_s);
}
_exit_:
cvReleaseMemStorage( &storage );
cvReleaseImage(&image_f);
cvReleaseImage(&image);
cvReleaseImage(&image_s);
if( code < 0 )
ts->set_failed_test_info( code );
}
void CV_POSITTest::run( int start_from )
{
int code = CvTS::OK;
/* fixed parameters output */
/*float rot[3][3]={ 0.49010f, 0.85057f, 0.19063f,
-0.56948f, 0.14671f, 0.80880f,
0.65997f, -0.50495f, 0.55629f };
float trans[3] = { 0.0f, 0.0f, 40.02637f };
*/
/* Some variables */
int i, counter;
CvTermCriteria criteria;
CvPoint3D32f* obj_points;
CvPoint2D32f* img_points;
CvPOSITObject* object;
float angleX, angleY, angleZ;
CvRNG* rng = ts->get_rng();
int progress = 0;
CvMat* true_rotationX = cvCreateMat( 3, 3, CV_32F );
CvMat* true_rotationY = cvCreateMat( 3, 3, CV_32F );
CvMat* true_rotationZ = cvCreateMat( 3, 3, CV_32F );
CvMat* tmp_matrix = cvCreateMat( 3, 3, CV_32F );
CvMat* true_rotation = cvCreateMat( 3, 3, CV_32F );
CvMat* rotation = cvCreateMat( 3, 3, CV_32F );
CvMat* translation = cvCreateMat( 3, 1, CV_32F );
CvMat* true_translation = cvCreateMat( 3, 1, CV_32F );
const float flFocalLength = 760.f;
const float flEpsilon = 0.1f;
/* Initilization */
criteria.type = CV_TERMCRIT_EPS|CV_TERMCRIT_ITER;
criteria.epsilon = flEpsilon;
criteria.max_iter = 10000;
/* Allocating source arrays; */
obj_points = (CvPoint3D32f*)cvAlloc( 8 * sizeof(CvPoint3D32f) );
img_points = (CvPoint2D32f*)cvAlloc( 8 * sizeof(CvPoint2D32f) );
/* Fill points arrays with values */
/* cube model with edge size 10 */
obj_points[0].x = 0; obj_points[0].y = 0; obj_points[0].z = 0;
obj_points[1].x = 10; obj_points[1].y = 0; obj_points[1].z = 0;
obj_points[2].x = 10; obj_points[2].y = 10; obj_points[2].z = 0;
obj_points[3].x = 0; obj_points[3].y = 10; obj_points[3].z = 0;
obj_points[4].x = 0; obj_points[4].y = 0; obj_points[4].z = 10;
obj_points[5].x = 10; obj_points[5].y = 0; obj_points[5].z = 10;
obj_points[6].x = 10; obj_points[6].y = 10; obj_points[6].z = 10;
obj_points[7].x = 0; obj_points[7].y = 10; obj_points[7].z = 10;
/* Loop for test some random object positions */
for( counter = start_from; counter < test_case_count; counter++ )
{
ts->update_context( this, counter, true );
progress = update_progress( progress, counter, test_case_count, 0 );
/* set all rotation matrix to zero */
cvZero( true_rotationX );
cvZero( true_rotationY );
cvZero( true_rotationZ );
/* fill random rotation matrix */
angleX = (float)(cvTsRandReal(rng)*2*CV_PI);
angleY = (float)(cvTsRandReal(rng)*2*CV_PI);
angleZ = (float)(cvTsRandReal(rng)*2*CV_PI);
true_rotationX->data.fl[0 *3+ 0] = 1;
true_rotationX->data.fl[1 *3+ 1] = (float)cos(angleX);
true_rotationX->data.fl[2 *3+ 2] = true_rotationX->data.fl[1 *3+ 1];
true_rotationX->data.fl[1 *3+ 2] = -(float)sin(angleX);
true_rotationX->data.fl[2 *3+ 1] = -true_rotationX->data.fl[1 *3+ 2];
true_rotationY->data.fl[1 *3+ 1] = 1;
true_rotationY->data.fl[0 *3+ 0] = (float)cos(angleY);
true_rotationY->data.fl[2 *3+ 2] = true_rotationY->data.fl[0 *3+ 0];
true_rotationY->data.fl[0 *3+ 2] = -(float)sin(angleY);
true_rotationY->data.fl[2 *3+ 0] = -true_rotationY->data.fl[0 *3+ 2];
true_rotationZ->data.fl[2 *3+ 2] = 1;
true_rotationZ->data.fl[0 *3+ 0] = (float)cos(angleZ);
true_rotationZ->data.fl[1 *3+ 1] = true_rotationZ->data.fl[0 *3+ 0];
true_rotationZ->data.fl[0 *3+ 1] = -(float)sin(angleZ);
true_rotationZ->data.fl[1 *3+ 0] = -true_rotationZ->data.fl[0 *3+ 1];
cvMatMul( true_rotationX, true_rotationY, tmp_matrix);
cvMatMul( tmp_matrix, true_rotationZ, true_rotation);
/* fill translation vector */
true_translation->data.fl[2] = (float)(cvRandReal(rng)*(2*flFocalLength-40) + 40);
true_translation->data.fl[0] = (float)((cvRandReal(rng)*2-1)*true_translation->data.fl[2]);
true_translation->data.fl[1] = (float)((cvRandReal(rng)*2-1)*true_translation->data.fl[2]);
/* calculate perspective projection */
for ( i = 0; i < 8; i++ )
{
float vec[3];
CvMat Vec = cvMat( 3, 1, CV_MAT32F, vec );
CvMat Obj_point = cvMat( 3, 1, CV_MAT32F, &obj_points[i].x );
cvMatMul( true_rotation, &Obj_point, &Vec );
vec[0] += true_translation->data.fl[0];
vec[1] += true_translation->data.fl[1];
vec[2] += true_translation->data.fl[2];
img_points[i].x = flFocalLength * vec[0] / vec[2];
img_points[i].y = flFocalLength * vec[1] / vec[2];
}
/*img_points[0].x = 0 ; img_points[0].y = 0;
img_points[1].x = 80; img_points[1].y = -93;
img_points[2].x = 245;img_points[2].y = -77;
img_points[3].x = 185;img_points[3].y = 32;
img_points[4].x = 32; img_points[4].y = 135;
img_points[5].x = 99; img_points[5].y = 35;
img_points[6].x = 247; img_points[6].y = 62;
img_points[7].x = 195; img_points[7].y = 179;
*/
object = cvCreatePOSITObject( obj_points, 8 );
cvPOSIT( object, img_points, flFocalLength, criteria,
rotation->data.fl, translation->data.fl );
cvReleasePOSITObject( &object );
code = cvTsCmpEps2( ts, rotation, true_rotation, flEpsilon, false, "rotation matrix" );
if( code < 0 )
goto _exit_;
code = cvTsCmpEps2( ts, translation, true_translation, flEpsilon, false, "translation vector" );
if( code < 0 )
goto _exit_;
}
_exit_:
cvFree( &obj_points );
cvFree( &img_points );
cvReleaseMat( &true_rotationX );
cvReleaseMat( &true_rotationY );
cvReleaseMat( &true_rotationZ );
cvReleaseMat( &tmp_matrix );
cvReleaseMat( &true_rotation );
cvReleaseMat( &rotation );
cvReleaseMat( &translation );
cvReleaseMat( &true_translation );
if( code < 0 )
ts->set_failed_test_info( code );
}
