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#include "cvtest.h"
static const int imgwarp_depths[] = { CV_8U, CV_16U, CV_32F, -1 };
static const int imgwarp_channels[] = { 1, 3, 4, -1 };
static const CvSize imgwarp_sizes[] = {{320, 240}, {1024,768}, {-1,-1}};
static const double imgwarp_resize_coeffs[] = { 0.5, 0.333, 2, 2.9 };
static const char* imgwarp_resize_methods[] = { "nearest", "linear", "cubic", "area", 0 };
static const char* imgwarp_resize_param_names[] = { "method", "coeff", "size", "channels", "depth", 0 };
static const double imgwarp_affine_rotate_scale[][4] = { {0.5,0.5,30.,1.4}, {0.5,0.5,-130,0.4}, {-1,-1,-1,-1} };
static const char* imgwarp_affine_param_names[] = { "rotate_scale", "size", "channels", "depth", 0 };
static const double imgwarp_perspective_shift_vtx[][8] = { {0.03,0.01,0.04,0.02,0.01,0.01,0.01,0.02}, {-1} };
static const char* imgwarp_perspective_param_names[] = { "shift_vtx", "size", "channels", "depth", 0 };
class CV_ImgWarpBaseTestImpl : public CvArrTest
{
public:
CV_ImgWarpBaseTestImpl( const char* test_name, const char* test_funcs, bool warp_matrix );
protected:
int read_params( CvFileStorage* fs );
int prepare_test_case( int test_case_idx );
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high );
void fill_array( int test_case_idx, int i, int j, CvMat* arr );
int interpolation;
int max_interpolation;
double spatial_scale_zoom, spatial_scale_decimate;
};
CV_ImgWarpBaseTestImpl::CV_ImgWarpBaseTestImpl( const char* test_name, const char* test_funcs, bool warp_matrix )
: CvArrTest( test_name, test_funcs, "" )
{
test_array[INPUT].push(NULL);
if( warp_matrix )
test_array[INPUT].push(NULL);
test_array[INPUT_OUTPUT].push(NULL);
test_array[REF_INPUT_OUTPUT].push(NULL);
max_interpolation = 5;
interpolation = 0;
element_wise_relative_error = false;
spatial_scale_zoom = 0.01;
spatial_scale_decimate = 0.005;
size_list = whole_size_list = imgwarp_sizes;
depth_list = imgwarp_depths;
cn_list = imgwarp_channels;
default_timing_param_names = 0;
}
int CV_ImgWarpBaseTestImpl::read_params( CvFileStorage* fs )
{
int code = CvArrTest::read_params( fs );
return code;
}
void CV_ImgWarpBaseTestImpl::get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high )
{
CvArrTest::get_minmax_bounds( i, j, type, low, high );
if( CV_MAT_DEPTH(type) == CV_32F )
{
*low = cvScalarAll(-10.);
*high = cvScalarAll(10);
}
}
void CV_ImgWarpBaseTestImpl::get_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types )
{
CvRNG* rng = ts->get_rng();
int depth = cvTsRandInt(rng) % 3;
int cn = cvTsRandInt(rng) % 3 + 1;
CvArrTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
depth = depth == 0 ? CV_8U : depth == 1 ? CV_16U : CV_32F;
cn += cn == 2;
types[INPUT][0] = types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(depth, cn);
if( test_array[INPUT].size() > 1 )
types[INPUT][1] = cvTsRandInt(rng) & 1 ? CV_32FC1 : CV_64FC1;
interpolation = cvTsRandInt(rng) % max_interpolation;
}
void CV_ImgWarpBaseTestImpl::fill_array( int test_case_idx, int i, int j, CvMat* arr )
{
if( i != INPUT || j != 0 )
CvArrTest::fill_array( test_case_idx, i, j, arr );
}
int CV_ImgWarpBaseTestImpl::prepare_test_case( int test_case_idx )
{
int code = CvArrTest::prepare_test_case( test_case_idx );
CvMat* img = &test_mat[INPUT][0];
int i, j, cols = img->cols;
int type = CV_MAT_TYPE(img->type), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
double scale = depth == CV_16U ? 1000. : 255.*0.5;
double space_scale = spatial_scale_decimate;
float* buffer;
if( code <= 0 )
return code;
if( test_mat[INPUT_OUTPUT][0].cols >= img->cols &&
test_mat[INPUT_OUTPUT][0].rows >= img->rows )
space_scale = spatial_scale_zoom;
buffer = (float*)cvAlloc( img->cols*cn*sizeof(buffer[0]) );
for( i = 0; i < img->rows; i++ )
{
uchar* ptr = img->data.ptr + i*img->step;
switch( cn )
{
case 1:
for( j = 0; j < cols; j++ )
buffer[j] = (float)((sin((i+1)*space_scale)*sin((j+1)*space_scale)+1.)*scale);
break;
case 2:
for( j = 0; j < cols; j++ )
{
buffer[j*2] = (float)((sin((i+1)*space_scale)+1.)*scale);
buffer[j*2+1] = (float)((sin((i+j)*space_scale)+1.)*scale);
}
break;
case 3:
for( j = 0; j < cols; j++ )
{
buffer[j*3] = (float)((sin((i+1)*space_scale)+1.)*scale);
buffer[j*3+1] = (float)((sin(j*space_scale)+1.)*scale);
buffer[j*3+2] = (float)((sin((i+j)*space_scale)+1.)*scale);
}
break;
case 4:
for( j = 0; j < cols; j++ )
{
buffer[j*4] = (float)((sin((i+1)*space_scale)+1.)*scale);
buffer[j*4+1] = (float)((sin(j*space_scale)+1.)*scale);
buffer[j*4+2] = (float)((sin((i+j)*space_scale)+1.)*scale);
buffer[j*4+3] = (float)((sin((i-j)*space_scale)+1.)*scale);
}
break;
default:
assert(0);
}
switch( depth )
{
case CV_8U:
for( j = 0; j < cols*cn; j++ )
ptr[j] = (uchar)cvRound(buffer[j]);
break;
case CV_16U:
for( j = 0; j < cols*cn; j++ )
((ushort*)ptr)[j] = (ushort)cvRound(buffer[j]);
break;
case CV_32F:
for( j = 0; j < cols*cn; j++ )
((float*)ptr)[j] = (float)buffer[j];
break;
default:
assert(0);
}
}
cvFree( &buffer );
return code;
}
CV_ImgWarpBaseTestImpl imgwarp_base( "warp", "", false );
class CV_ImgWarpBaseTest : public CV_ImgWarpBaseTestImpl
{
public:
CV_ImgWarpBaseTest( const char* test_name, const char* test_funcs, bool warp_matrix );
};
CV_ImgWarpBaseTest::CV_ImgWarpBaseTest( const char* test_name, const char* test_funcs, bool warp_matrix )
: CV_ImgWarpBaseTestImpl( test_name, test_funcs, warp_matrix )
{
size_list = whole_size_list = 0;
depth_list = 0;
cn_list = 0;
}
/////////////////////////
class CV_ResizeTest : public CV_ImgWarpBaseTest
{
public:
CV_ResizeTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
};
CV_ResizeTest::CV_ResizeTest()
: CV_ImgWarpBaseTest( "warp-resize", "cvResize", false )
{
default_timing_param_names = imgwarp_resize_param_names;
}
int CV_ResizeTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
start_write_param( fs );
write_real_list( fs, "coeff", imgwarp_resize_coeffs, CV_DIM(imgwarp_resize_coeffs) );
write_string_list( fs, "method", imgwarp_resize_methods );
}
return code;
}
void CV_ResizeTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CvRNG* rng = ts->get_rng();
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
CvSize sz;
sz.width = (cvTsRandInt(rng) % sizes[INPUT][0].width) + 1;
sz.height = (cvTsRandInt(rng) % sizes[INPUT][0].height) + 1;
if( cvTsRandInt(rng) & 1 )
{
int xfactor = cvTsRandInt(rng) % 10 + 1;
int yfactor = cvTsRandInt(rng) % 10 + 1;
if( cvTsRandInt(rng) & 1 )
yfactor = xfactor;
sz.width = sizes[INPUT][0].width / xfactor;
sz.width = MAX(sz.width,1);
sz.height = sizes[INPUT][0].height / yfactor;
sz.height = MAX(sz.height,1);
sizes[INPUT][0].width = sz.width * xfactor;
sizes[INPUT][0].height = sz.height * yfactor;
}
if( cvTsRandInt(rng) & 1 )
sizes[INPUT_OUTPUT][0] = sizes[REF_INPUT_OUTPUT][0] = sz;
else
{
sizes[INPUT_OUTPUT][0] = sizes[REF_INPUT_OUTPUT][0] = sizes[INPUT][0];
sizes[INPUT][0] = sz;
}
if( interpolation == 4 &&
(MIN(sizes[INPUT][0].width,sizes[INPUT_OUTPUT][0].width) < 4 ||
MIN(sizes[INPUT][0].height,sizes[INPUT_OUTPUT][0].height) < 4))
interpolation = 2;
}
void CV_ResizeTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
const char* method_str = cvReadString( find_timing_param( "method" ), "linear" );
double coeff = cvReadReal( find_timing_param( "coeff" ), 1. );
CvSize size = sizes[INPUT][0];
size.width = cvRound(size.width*coeff);
size.height = cvRound(size.height*coeff);
sizes[INPUT_OUTPUT][0] = whole_sizes[INPUT_OUTPUT][0] = size;
interpolation = strcmp( method_str, "nearest" ) == 0 ? CV_INTER_NN :
strcmp( method_str, "linear" ) == 0 ? CV_INTER_LINEAR :
strcmp( method_str, "cubic" ) == 0 ? CV_INTER_CUBIC : CV_INTER_AREA;
}
void CV_ResizeTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
sprintf( ptr, "coeff=%.3f,", cvReadReal( find_timing_param( "coeff" ), 1. ) );
ptr += strlen(ptr);
sprintf( ptr, "method=%s,", cvReadString( find_timing_param( "method" ), "linear" ) );
ptr += strlen(ptr);
params_left -= 2;
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_ResizeTest::run_func()
{
cvResize( test_array[INPUT][0], test_array[INPUT_OUTPUT][0], interpolation );
}
double CV_ResizeTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
return depth == CV_8U ? 16 : depth == CV_16U ? 1024 : 1e-1;
}
void CV_ResizeTest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat* src = &test_mat[INPUT][0];
CvMat* dst = &test_mat[REF_INPUT_OUTPUT][0];
int i, j, k;
CvMat* x_idx = cvCreateMat( 1, dst->cols, CV_32SC1 );
CvMat* y_idx = cvCreateMat( 1, dst->rows, CV_32SC1 );
int* x_tab = x_idx->data.i;
int elem_size = CV_ELEM_SIZE(src->type);
int drows = dst->rows, dcols = dst->cols;
if( interpolation == CV_INTER_NN )
{
for( j = 0; j < dcols; j++ )
{
int t = (j*src->cols*2 + MIN(src->cols,dcols) - 1)/(dcols*2);
t -= t >= src->cols;
x_idx->data.i[j] = t*elem_size;
}
for( j = 0; j < drows; j++ )
{
int t = (j*src->rows*2 + MIN(src->rows,drows) - 1)/(drows*2);
t -= t >= src->rows;
y_idx->data.i[j] = t;
}
}
else
{
double scale_x = (double)src->cols/dcols;
double scale_y = (double)src->rows/drows;
for( j = 0; j < dcols; j++ )
{
double f = ((j+0.5)*scale_x - 0.5);
i = cvRound(f);
x_idx->data.i[j] = (i < 0 ? 0 : i >= src->cols ? src->cols - 1 : i)*elem_size;
}
for( j = 0; j < drows; j++ )
{
double f = ((j+0.5)*scale_y - 0.5);
i = cvRound(f);
y_idx->data.i[j] = i < 0 ? 0 : i >= src->rows ? src->rows - 1 : i;
}
}
for( i = 0; i < drows; i++ )
{
uchar* dptr = dst->data.ptr + dst->step*i;
const uchar* sptr0 = src->data.ptr + src->step*y_idx->data.i[i];
for( j = 0; j < dcols; j++, dptr += elem_size )
{
const uchar* sptr = sptr0 + x_tab[j];
for( k = 0; k < elem_size; k++ )
dptr[k] = sptr[k];
}
}
cvReleaseMat( &x_idx );
cvReleaseMat( &y_idx );
}
//CV_ResizeTest warp_resize_test;
/////////////////////////
void cvTsRemap( const CvMat* src, CvMat* dst,
const CvMat* mapx, const CvMat* mapy,
CvMat* mask, int interpolation=CV_INTER_LINEAR )
{
int x, y, k;
int drows = dst->rows, dcols = dst->cols;
int srows = src->rows, scols = src->cols;
uchar* sptr0 = src->data.ptr;
int depth = CV_MAT_DEPTH(src->type), cn = CV_MAT_CN(src->type);
int elem_size = CV_ELEM_SIZE(src->type);
int step = src->step / CV_ELEM_SIZE(depth);
int delta;
if( interpolation != CV_INTER_CUBIC )
{
delta = 0;
scols -= 1; srows -= 1;
}
else
{
delta = 1;
scols = MAX(scols - 3, 0);
srows = MAX(srows - 3, 0);
}
int scols1 = MAX(scols - 2, 0);
int srows1 = MAX(srows - 2, 0);
if( mask )
cvTsZero(mask);
for( y = 0; y < drows; y++ )
{
uchar* dptr = dst->data.ptr + dst->step*y;
const float* mx = (const float*)(mapx->data.ptr + mapx->step*y);
const float* my = (const float*)(mapy->data.ptr + mapy->step*y);
uchar* m = mask ? mask->data.ptr + mask->step*y : 0;
for( x = 0; x < dcols; x++, dptr += elem_size )
{
float xs = mx[x];
float ys = my[x];
int ixs = cvFloor(xs);
int iys = cvFloor(ys);
if( (unsigned)(ixs - delta - 1) >= (unsigned)scols1 ||
(unsigned)(iys - delta - 1) >= (unsigned)srows1 )
{
if( m )
m[x] = 1;
if( (unsigned)(ixs - delta) >= (unsigned)scols ||
(unsigned)(iys - delta) >= (unsigned)srows )
continue;
}
xs -= ixs;
ys -= iys;
switch( depth )
{
case CV_8U:
{
const uchar* sptr = sptr0 + iys*step + ixs*cn;
for( k = 0; k < cn; k++ )
{
float v00 = sptr[k];
float v01 = sptr[cn + k];
float v10 = sptr[step + k];
float v11 = sptr[step + cn + k];
v00 = v00 + xs*(v01 - v00);
v10 = v10 + xs*(v11 - v10);
v00 = v00 + ys*(v10 - v00);
dptr[k] = (uchar)cvRound(v00);
}
}
break;
case CV_16U:
{
const ushort* sptr = (const ushort*)sptr0 + iys*step + ixs*cn;
for( k = 0; k < cn; k++ )
{
float v00 = sptr[k];
float v01 = sptr[cn + k];
float v10 = sptr[step + k];
float v11 = sptr[step + cn + k];
v00 = v00 + xs*(v01 - v00);
v10 = v10 + xs*(v11 - v10);
v00 = v00 + ys*(v10 - v00);
((ushort*)dptr)[k] = (ushort)cvRound(v00);
}
}
break;
case CV_32F:
{
const float* sptr = (const float*)sptr0 + iys*step + ixs*cn;
for( k = 0; k < cn; k++ )
{
float v00 = sptr[k];
float v01 = sptr[cn + k];
float v10 = sptr[step + k];
float v11 = sptr[step + cn + k];
v00 = v00 + xs*(v01 - v00);
v10 = v10 + xs*(v11 - v10);
v00 = v00 + ys*(v10 - v00);
((float*)dptr)[k] = (float)v00;
}
}
break;
default:
assert(0);
}
}
}
}
/////////////////////////
class CV_WarpAffineTest : public CV_ImgWarpBaseTest
{
public:
CV_WarpAffineTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
};
CV_WarpAffineTest::CV_WarpAffineTest()
: CV_ImgWarpBaseTest( "warp-affine", "cvWarpAffine", true )
{
//spatial_scale_zoom = spatial_scale_decimate;
test_array[TEMP].push(NULL);
test_array[TEMP].push(NULL);
spatial_scale_decimate = spatial_scale_zoom;
default_timing_param_names = imgwarp_affine_param_names;
}
int CV_WarpAffineTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "rotate_scale", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; imgwarp_affine_rotate_scale[i][0] >= 0; i++ )
{
cvStartWriteStruct( fs, 0, CV_NODE_SEQ+CV_NODE_FLOW );
cvWriteRawData( fs, imgwarp_affine_rotate_scale[i], 4, "d" );
cvEndWriteStruct(fs);
}
cvEndWriteStruct(fs);
}
return code;
}
void CV_WarpAffineTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
CvSize sz = sizes[INPUT][0];
// run for the second time to get output of a different size
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
sizes[INPUT][0] = sz;
sizes[INPUT][1] = cvSize( 3, 2 );
sizes[TEMP][0] = sizes[TEMP][1] = sizes[INPUT_OUTPUT][0];
types[TEMP][0] = types[TEMP][1] = CV_32FC1;
}
void CV_WarpAffineTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
sizes[INPUT][1] = whole_sizes[INPUT][1] = cvSize(3,2);
sizes[TEMP][0] = whole_sizes[TEMP][0] =
sizes[TEMP][1] = whole_sizes[TEMP][1] = cvSize(0,0);
types[INPUT][1] = CV_64FC1;
interpolation = CV_INTER_LINEAR;
}
void CV_WarpAffineTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
double coeffs[4];
const CvFileNode* node = find_timing_param( "rotate_scale" );
assert( node && CV_NODE_IS_SEQ(node->tag) );
cvReadRawData( ts->get_file_storage(), node, coeffs, "4d" );
sprintf( ptr, "fx=%.2f,fy=%.2f,angle=%.1fdeg,scale=%.1f,", coeffs[0], coeffs[1], coeffs[2], coeffs[3] );
ptr += strlen(ptr);
params_left -= 4;
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_WarpAffineTest::run_func()
{
cvWarpAffine( test_array[INPUT][0], test_array[INPUT_OUTPUT][0],
&test_mat[INPUT][1], interpolation );
}
double CV_WarpAffineTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
return depth == CV_8U ? 16 : depth == CV_16U ? 1024 : 5e-2;
}
int CV_WarpAffineTest::prepare_test_case( int test_case_idx )
{
CvRNG* rng = ts->get_rng();
int code = CV_ImgWarpBaseTest::prepare_test_case( test_case_idx );
const CvMat* src = &test_mat[INPUT][0];
const CvMat* dst = &test_mat[INPUT_OUTPUT][0];
CvMat* mat = &test_mat[INPUT][1];
CvPoint2D32f center;
double scale, angle;
if( code <= 0 )
return code;
if( ts->get_testing_mode() == CvTS::CORRECTNESS_CHECK_MODE )
{
double buf[6];
CvMat tmp = cvMat( 2, 3, mat->type, buf );
center.x = (float)((cvTsRandReal(rng)*1.2 - 0.1)*src->cols);
center.y = (float)((cvTsRandReal(rng)*1.2 - 0.1)*src->rows);
angle = cvTsRandReal(rng)*360;
scale = ((double)dst->rows/src->rows + (double)dst->cols/src->cols)*0.5;
cv2DRotationMatrix( center, angle, scale, mat );
cvRandArr( rng, &tmp, CV_RAND_NORMAL, cvScalarAll(1.), cvScalarAll(0.01) );
cvMaxS( &tmp, 0.9, &tmp );
cvMinS( &tmp, 1.1, &tmp );
cvMul( &tmp, mat, mat, 1. );
}
else
{
double coeffs[4];
const CvFileNode* node = find_timing_param( "rotate_scale" );
assert( node && CV_NODE_IS_SEQ(node->tag) );
cvReadRawData( ts->get_file_storage(), node, coeffs, "4d" );
center.x = (float)(coeffs[0]*src->cols);
center.y = (float)(coeffs[1]*src->rows);
angle = coeffs[2];
scale = coeffs[3];
cv2DRotationMatrix( center, angle, scale, mat );
}
return code;
}
void CV_WarpAffineTest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat* src = &test_mat[INPUT][0];
CvMat* dst = &test_mat[REF_INPUT_OUTPUT][0];
CvMat* dst0 = &test_mat[INPUT_OUTPUT][0];
CvMat* mapx = &test_mat[TEMP][0];
CvMat* mapy = &test_mat[TEMP][1];
int x, y;
double m[6], tm[6];
CvMat srcAb = cvMat(2, 3, CV_64FC1, tm ), A, b, invA, invAb, dstAb = cvMat( 2, 3, CV_64FC1, m );
//cvInvert( &tM, &M, CV_LU );
// [R|t] -> [R^-1 | -(R^-1)*t]
cvTsConvert( &test_mat[INPUT][1], &srcAb );
cvGetCols( &srcAb, &A, 0, 2 );
cvGetCol( &srcAb, &b, 2 );
cvGetCols( &dstAb, &invA, 0, 2 );
cvGetCol( &dstAb, &invAb, 2 );
cvInvert( &A, &invA, CV_SVD );
cvGEMM( &invA, &b, -1, 0, 0, &invAb );
for( y = 0; y < dst->rows; y++ )
{
float* mx = (float*)(mapx->data.ptr + y*mapx->step);
float* my = (float*)(mapy->data.ptr + y*mapy->step);
for( x = 0; x < dst->cols; x++ )
{
mx[x] = (float)(x*m[0] + y*m[1] + m[2]);
my[x] = (float)(x*m[3] + y*m[4] + m[5]);
}
}
CvMat* mask = cvCreateMat( dst->rows, dst->cols, CV_8U );
cvTsRemap( src, dst, mapx, mapy, mask );
cvTsZero( dst, mask );
cvTsZero( dst0, mask );
cvReleaseMat( &mask );
}
//CV_WarpAffineTest warp_affine_test;
/////////////////////////
class CV_WarpPerspectiveTest : public CV_ImgWarpBaseTest
{
public:
CV_WarpPerspectiveTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
};
CV_WarpPerspectiveTest::CV_WarpPerspectiveTest()
: CV_ImgWarpBaseTest( "warp-perspective", "cvWarpPerspective", true )
{
//spatial_scale_zoom = spatial_scale_decimate;
test_array[TEMP].push(NULL);
test_array[TEMP].push(NULL);
spatial_scale_decimate = spatial_scale_zoom;
default_timing_param_names = imgwarp_perspective_param_names;
}
int CV_WarpPerspectiveTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "shift_vtx", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; imgwarp_perspective_shift_vtx[i][0] >= 0; i++ )
{
cvStartWriteStruct( fs, 0, CV_NODE_SEQ+CV_NODE_FLOW );
cvWriteRawData( fs, imgwarp_perspective_shift_vtx[i], 8, "d" );
cvEndWriteStruct(fs);
}
cvEndWriteStruct(fs);
}
return code;
}
void CV_WarpPerspectiveTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
CvSize sz = sizes[INPUT][0];
// run for the second time to get output of a different size
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
sizes[INPUT][0] = sz;
sizes[INPUT][1] = cvSize( 3, 3 );
sizes[TEMP][0] = sizes[TEMP][1] = sizes[INPUT_OUTPUT][0];
types[TEMP][0] = types[TEMP][1] = CV_32FC1;
}
void CV_WarpPerspectiveTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
sizes[INPUT][1] = whole_sizes[INPUT][1] = cvSize(3,3);
sizes[TEMP][0] = whole_sizes[TEMP][0] =
sizes[TEMP][1] = whole_sizes[TEMP][1] = cvSize(0,0);
types[INPUT][1] = CV_64FC1;
interpolation = CV_INTER_LINEAR;
}
void CV_WarpPerspectiveTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_WarpPerspectiveTest::run_func()
{
cvWarpPerspective( test_array[INPUT][0], test_array[INPUT_OUTPUT][0],
&test_mat[INPUT][1], interpolation );
}
double CV_WarpPerspectiveTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
return depth == CV_8U ? 16 : depth == CV_16U ? 1024 : 5e-2;
}
int CV_WarpPerspectiveTest::prepare_test_case( int test_case_idx )
{
CvRNG* rng = ts->get_rng();
int code = CV_ImgWarpBaseTest::prepare_test_case( test_case_idx );
const CvMat* src = &test_mat[INPUT][0];
const CvMat* dst = &test_mat[INPUT_OUTPUT][0];
CvMat* mat = &test_mat[INPUT][1];
CvPoint2D32f s[4], d[4];
int i;
if( code <= 0 )
return code;
s[0] = cvPoint2D32f(0,0);
d[0] = cvPoint2D32f(0,0);
s[1] = cvPoint2D32f(src->cols-1,0);
d[1] = cvPoint2D32f(dst->cols-1,0);
s[2] = cvPoint2D32f(src->cols-1,src->rows-1);
d[2] = cvPoint2D32f(dst->cols-1,dst->rows-1);
s[3] = cvPoint2D32f(0,src->rows-1);
d[3] = cvPoint2D32f(0,dst->rows-1);
if( ts->get_testing_mode() == CvTS::CORRECTNESS_CHECK_MODE )
{
float buf[16];
CvMat tmp = cvMat( 1, 16, CV_32FC1, buf );
cvRandArr( rng, &tmp, CV_RAND_NORMAL, cvScalarAll(0.), cvScalarAll(0.1) );
for( i = 0; i < 4; i++ )
{
s[i].x += buf[i*4]*src->cols/2;
s[i].y += buf[i*4+1]*src->rows/2;
d[i].x += buf[i*4+2]*dst->cols/2;
d[i].y += buf[i*4+3]*dst->rows/2;
}
}
else
{
double coeffs[8];
const CvFileNode* node = find_timing_param( "shift_vtx" );
assert( node && CV_NODE_IS_SEQ(node->tag) );
cvReadRawData( ts->get_file_storage(), node, coeffs, "8d" );
for( i = 0; i < 4; i++ )
{
d[i].x += (float)(coeffs[i*2]*src->cols*(i == 0 || i == 3 ? 1 : -1));
d[i].y += (float)(coeffs[i*2+1]*src->rows*(i == 0 || i == 1 ? 1 : -1));
}
}
cvWarpPerspectiveQMatrix( s, d, mat );
return code;
}
void CV_WarpPerspectiveTest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat* src = &test_mat[INPUT][0];
CvMat* dst = &test_mat[REF_INPUT_OUTPUT][0];
CvMat* dst0 = &test_mat[INPUT_OUTPUT][0];
CvMat* mapx = &test_mat[TEMP][0];
CvMat* mapy = &test_mat[TEMP][1];
int x, y;
double m[9], tm[9];
CvMat srcM = cvMat(3, 3, CV_64FC1, tm ), dstM = cvMat( 3, 3, CV_64FC1, m );
//cvInvert( &tM, &M, CV_LU );
// [R|t] -> [R^-1 | -(R^-1)*t]
cvTsConvert( &test_mat[INPUT][1], &srcM );
cvInvert( &srcM, &dstM, CV_SVD );
for( y = 0; y < dst->rows; y++ )
{
float* mx = (float*)(mapx->data.ptr + y*mapx->step);
float* my = (float*)(mapy->data.ptr + y*mapy->step);
for( x = 0; x < dst->cols; x++ )
{
double xs = x*m[0] + y*m[1] + m[2];
double ys = x*m[3] + y*m[4] + m[5];
double ds = x*m[6] + y*m[7] + m[8];
ds = ds ? 1./ds : 0;
xs *= ds;
ys *= ds;
mx[x] = (float)xs;
my[x] = (float)ys;
}
}
CvMat* mask = cvCreateMat( dst->rows, dst->cols, CV_8U );
cvTsRemap( src, dst, mapx, mapy, mask );
cvTsZero( dst, mask );
cvTsZero( dst0, mask );
cvReleaseMat( &mask );
}
//CV_WarpPerspectiveTest warp_perspective_test;
/////////////////////////
void cvTsInitUndistortMap( const CvMat* _a0, const CvMat* _k0, CvMat* _mapx, CvMat* _mapy )
{
CvMat* mapx = cvCreateMat(_mapx->rows,_mapx->cols,CV_32F);
CvMat* mapy = cvCreateMat(_mapx->rows,_mapx->cols,CV_32F);
int u, v;
double a[9], k[5]={0,0,0,0,0};
CvMat _a = cvMat(3, 3, CV_64F, a);
CvMat _k = cvMat(_k0->rows,_k0->cols,
CV_MAKETYPE(CV_64F,CV_MAT_CN(_k0->type)),k);
double fx, fy, cx, cy, ifx, ify, cxn, cyn;
cvTsConvert( _a0, &_a );
cvTsConvert( _k0, &_k );
fx = a[0]; fy = a[4]; cx = a[2]; cy = a[5];
ifx = 1./fx; ify = 1./fy;
cxn = cx;//(mapy->cols - 1)*0.5;
cyn = cy;//(mapy->rows - 1)*0.5;
for( v = 0; v < mapy->rows; v++ )
{
float* mx = (float*)(mapx->data.ptr + v*mapx->step);
float* my = (float*)(mapy->data.ptr + v*mapy->step);
for( u = 0; u < mapy->cols; u++ )
{
double x = (u - cxn)*ifx;
double y = (v - cyn)*ify;
double x2 = x*x, y2 = y*y;
double r2 = x2 + y2;
double cdist = 1 + (k[0] + (k[1] + k[4]*r2)*r2)*r2;
double x1 = x*cdist + k[2]*2*x*y + k[3]*(r2 + 2*x2);
double y1 = y*cdist + k[3]*2*x*y + k[2]*(r2 + 2*y2);
my[u] = (float)(y1*fy + cy);
mx[u] = (float)(x1*fx + cx);
}
}
if (_mapy)
{
cvCopy(mapy,_mapy);
cvCopy(mapx,_mapx);
}
else
{
for (int i=0;i<mapx->rows;i++)
{
float* _mx = (float*)(_mapx->data.ptr + _mapx->step*i);
float* _my = (float*)(_mapx->data.ptr + _mapx->step*i);
for (int j=0;j<mapx->cols;j++)
{
_mx[2*j] = mapx->data.fl[j+i*mapx->cols];
_my[2*j+1] = mapy->data.fl[j+i*mapy->cols];
}
}
}
cvReleaseMat(&mapx);
cvReleaseMat(&mapy);
}
static double remap_undistort_params[] = { 0.5, 0.5, 0.5, 0.5, 0.01, -0.01, 0.001, -0.001 };
class CV_RemapTest : public CV_ImgWarpBaseTest
{
public:
CV_RemapTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
void fill_array( int test_case_idx, int i, int j, CvMat* arr );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
};
CV_RemapTest::CV_RemapTest()
: CV_ImgWarpBaseTest( "warp-remap", "cvRemap", false )
{
//spatial_scale_zoom = spatial_scale_decimate;
test_array[INPUT].push(NULL);
test_array[INPUT].push(NULL);
spatial_scale_decimate = spatial_scale_zoom;
//default_timing_param_names = imgwarp_perspective_param_names;
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
default_timing_param_names = 0;
}
int CV_RemapTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "params", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; i < 8; i++ )
cvWriteReal( fs, 0, remap_undistort_params[i] );
cvEndWriteStruct(fs);
}
return code;
}
void CV_RemapTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
types[INPUT][1] = types[INPUT][2] = CV_32FC1;
interpolation = CV_INTER_LINEAR;
}
void CV_RemapTest::fill_array( int test_case_idx, int i, int j, CvMat* arr )
{
if( i != INPUT )
CV_ImgWarpBaseTestImpl::fill_array( test_case_idx, i, j, arr );
}
void CV_RemapTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
types[INPUT][1] = types[INPUT][2] = CV_32FC1;
interpolation = CV_INTER_LINEAR;
}
void CV_RemapTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_RemapTest::run_func()
{
cvRemap( test_array[INPUT][0], test_array[INPUT_OUTPUT][0],
test_array[INPUT][1], test_array[INPUT][2], interpolation );
}
double CV_RemapTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
return depth == CV_8U ? 16 : depth == CV_16U ? 1024 : 5e-2;
}
int CV_RemapTest::prepare_test_case( int test_case_idx )
{
CvRNG* rng = ts->get_rng();
int code = CV_ImgWarpBaseTest::prepare_test_case( test_case_idx );
const CvMat* src = &test_mat[INPUT][0];
double a[9] = {0,0,0,0,0,0,0,0,1}, k[4];
CvMat _a = cvMat( 3, 3, CV_64F, a );
CvMat _k = cvMat( 4, 1, CV_64F, k );
double sz = MAX(src->rows, src->cols);
if( code <= 0 )
return code;
if( ts->get_testing_mode() == CvTS::CORRECTNESS_CHECK_MODE )
{
double aspect_ratio = cvTsRandReal(rng)*0.6 + 0.7;
a[2] = (src->cols - 1)*0.5 + cvTsRandReal(rng)*10 - 5;
a[5] = (src->rows - 1)*0.5 + cvTsRandReal(rng)*10 - 5;
a[0] = sz/(0.9 - cvTsRandReal(rng)*0.6);
a[4] = aspect_ratio*a[0];
k[0] = cvTsRandReal(rng)*0.06 - 0.03;
k[1] = cvTsRandReal(rng)*0.06 - 0.03;
if( k[0]*k[1] > 0 )
k[1] = -k[1];
k[2] = cvTsRandReal(rng)*0.004 - 0.002;
k[3] = cvTsRandReal(rng)*0.004 - 0.002;
}
else
{
int i;
a[2] = (src->cols - 1)*remap_undistort_params[0];
a[5] = (src->rows - 1)*remap_undistort_params[1];
a[0] = sz/remap_undistort_params[2];
a[4] = sz/remap_undistort_params[3];
for( i = 0; i < 4; i++ )
k[i] = remap_undistort_params[i+4];
}
cvTsInitUndistortMap( &_a, &_k, &test_mat[INPUT][1], &test_mat[INPUT][2] );
return code;
}
void CV_RemapTest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat* dst = &test_mat[REF_INPUT_OUTPUT][0];
CvMat* dst0 = &test_mat[INPUT_OUTPUT][0];
CvMat* mask = cvCreateMat( dst->rows, dst->cols, CV_8U );
cvTsRemap( &test_mat[INPUT][0], dst,
&test_mat[INPUT][1], &test_mat[INPUT][2],
mask, interpolation );
cvTsZero( dst, mask );
cvTsZero( dst0, mask );
cvReleaseMat( &mask );
}
//CV_RemapTest remap_test;
////////////////////////////// undistort /////////////////////////////////
class CV_UndistortTest : public CV_ImgWarpBaseTest
{
public:
CV_UndistortTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
void fill_array( int test_case_idx, int i, int j, CvMat* arr );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
private:
bool useCPlus;
cv::Mat input0;
cv::Mat input1;
cv::Mat input2;
cv::Mat input_new_cam;
cv::Mat input_output;
bool zero_new_cam;
bool zero_distortion;
};
CV_UndistortTest::CV_UndistortTest()
: CV_ImgWarpBaseTest( "warp-undistort", "cvUndistort2", false )
{
//spatial_scale_zoom = spatial_scale_decimate;
test_array[INPUT].push(NULL);
test_array[INPUT].push(NULL);
test_array[INPUT].push(NULL);
spatial_scale_decimate = spatial_scale_zoom;
//default_timing_param_names = imgwarp_perspective_param_names;
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
default_timing_param_names = 0;
}
int CV_UndistortTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "params", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; i < 8; i++ )
cvWriteReal( fs, 0, remap_undistort_params[i] );
cvEndWriteStruct(fs);
}
return code;
}
void CV_UndistortTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CvRNG* rng = ts->get_rng();
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
int type = types[INPUT][0];
type = CV_MAKETYPE( CV_8U, CV_MAT_CN(type) );
types[INPUT][0] = types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = type;
types[INPUT][1] = cvTsRandInt(rng)%2 ? CV_64F : CV_32F;
types[INPUT][2] = cvTsRandInt(rng)%2 ? CV_64F : CV_32F;
sizes[INPUT][1] = cvSize(3,3);
sizes[INPUT][2] = cvTsRandInt(rng)%2 ? cvSize(4,1) : cvSize(1,4);
types[INPUT][3] = types[INPUT][1];
sizes[INPUT][3] = sizes[INPUT][1];
interpolation = CV_INTER_LINEAR;
}
void CV_UndistortTest::fill_array( int test_case_idx, int i, int j, CvMat* arr )
{
if( i != INPUT )
CV_ImgWarpBaseTestImpl::fill_array( test_case_idx, i, j, arr );
}
void CV_UndistortTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
types[INPUT][1] = types[INPUT][2] = CV_32FC1;
interpolation = CV_INTER_LINEAR;
}
void CV_UndistortTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_UndistortTest::run_func()
{
if (!useCPlus)
{
cvUndistort2( test_array[INPUT][0], test_array[INPUT_OUTPUT][0],
&test_mat[INPUT][1], &test_mat[INPUT][2] );
}
else
{
if (zero_distortion)
{
cv::undistort(input0,input_output,input1,cv::Mat());
}
else
{
cv::undistort(input0,input_output,input1,input2);
}
}
}
double CV_UndistortTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
return depth == CV_8U ? 16 : depth == CV_16U ? 1024 : 5e-2;
}
int CV_UndistortTest::prepare_test_case( int test_case_idx )
{
CvRNG* rng = ts->get_rng();
int code = CV_ImgWarpBaseTest::prepare_test_case( test_case_idx );
const CvMat* src = &test_mat[INPUT][0];
double k[4], a[9] = {0,0,0,0,0,0,0,0,1};
double sz = MAX(src->rows, src->cols);
double new_cam[9] = {0,0,0,0,0,0,0,0,1};
CvMat _new_cam = cvMat(test_mat[INPUT][3].rows,test_mat[INPUT][3].cols,CV_64F,new_cam);
CvMat* _new_cam0 = &test_mat[INPUT][3];
CvMat* _a0 = &test_mat[INPUT][1], *_k0 = &test_mat[INPUT][2];
CvMat _a = cvMat(3,3,CV_64F,a);
CvMat _k = cvMat(_k0->rows,_k0->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(_k0->type)),k);
if( code <= 0 )
return code;
if( ts->get_testing_mode() == CvTS::CORRECTNESS_CHECK_MODE )
{
double aspect_ratio = cvTsRandReal(rng)*0.6 + 0.7;
a[2] = (src->cols - 1)*0.5 + cvTsRandReal(rng)*10 - 5;
a[5] = (src->rows - 1)*0.5 + cvTsRandReal(rng)*10 - 5;
a[0] = sz/(0.9 - cvTsRandReal(rng)*0.6);
a[4] = aspect_ratio*a[0];
k[0] = cvTsRandReal(rng)*0.06 - 0.03;
k[1] = cvTsRandReal(rng)*0.06 - 0.03;
if( k[0]*k[1] > 0 )
k[1] = -k[1];
if( cvTsRandInt(rng)%4 != 0 )
{
k[2] = cvTsRandReal(rng)*0.004 - 0.002;
k[3] = cvTsRandReal(rng)*0.004 - 0.002;
}
else
k[2] = k[3] = 0;
new_cam[0] = a[0] + (cvTsRandReal(rng) - (double)0.5)*0.2*a[0]; //10%
new_cam[4] = a[4] + (cvTsRandReal(rng) - (double)0.5)*0.2*a[4]; //10%
new_cam[2] = a[2] + (cvTsRandReal(rng) - (double)0.5)*0.3*test_mat[INPUT][0].rows; //15%
new_cam[5] = a[5] + (cvTsRandReal(rng) - (double)0.5)*0.3*test_mat[INPUT][0].cols; //15%
}
else
{
int i;
a[2] = (src->cols - 1)*remap_undistort_params[0];
a[5] = (src->rows - 1)*remap_undistort_params[1];
a[0] = sz/remap_undistort_params[2];
a[4] = sz/remap_undistort_params[3];
for( i = 0; i < 4; i++ )
k[i] = remap_undistort_params[i+4];
}
cvTsConvert( &_a, _a0 );
zero_distortion = (cvRandInt(rng)%2) == 0 ? false : true;
cvTsConvert( &_k, _k0 );
zero_new_cam = (cvRandInt(rng)%2) == 0 ? false : true;
cvTsConvert( &_new_cam, _new_cam0 );
//Testing C++ code
useCPlus = ((cvTsRandInt(rng) % 2)!=0);
if (useCPlus)
{
input0 = &test_mat[INPUT][0];
input1 = &test_mat[INPUT][1];
input2 = &test_mat[INPUT][2];
input_new_cam = &test_mat[INPUT][3];
}
return code;
}
void CV_UndistortTest::prepare_to_validation( int /*test_case_idx*/ )
{
if (useCPlus)
{
CvMat result = input_output;
CvMat* test_input_output = &test_mat[INPUT_OUTPUT][0];
cvTsConvert(&result,test_input_output);
}
CvMat* src = &test_mat[INPUT][0];
CvMat* dst = &test_mat[REF_INPUT_OUTPUT][0];
CvMat* dst0 = &test_mat[INPUT_OUTPUT][0];
CvMat* mapx = cvCreateMat( dst->rows, dst->cols, CV_32FC1 );
CvMat* mapy = cvCreateMat( dst->rows, dst->cols, CV_32FC1 );
cvTsInitUndistortMap( &test_mat[INPUT][1], &test_mat[INPUT][2],
mapx, mapy );
CvMat* mask = cvCreateMat( dst->rows, dst->cols, CV_8U );
cvTsRemap( src, dst, mapx, mapy, mask, interpolation );
cvTsZero( dst, mask );
cvTsZero( dst0, mask );
cvReleaseMat( &mapx );
cvReleaseMat( &mapy );
cvReleaseMat( &mask );
}
//CV_UndistortTest undistort_test;
class CV_UndistortMapTest : public CvArrTest
{
public:
CV_UndistortMapTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
void fill_array( int test_case_idx, int i, int j, CvMat* arr );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
private:
bool dualChannel;
};
CV_UndistortMapTest::CV_UndistortMapTest()
: CvArrTest( "warp-undistort-map", "cvInitUndistortMap", "" )
{
test_array[INPUT].push(NULL);
test_array[INPUT].push(NULL);
test_array[OUTPUT].push(NULL);
test_array[OUTPUT].push(NULL);
test_array[REF_OUTPUT].push(NULL);
test_array[REF_OUTPUT].push(NULL);
element_wise_relative_error = false;
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
default_timing_param_names = 0;
}
int CV_UndistortMapTest::write_default_params( CvFileStorage* fs )
{
int code = CvArrTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "params", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; i < 8; i++ )
cvWriteReal( fs, 0, remap_undistort_params[i] );
cvEndWriteStruct(fs);
}
return code;
}
void CV_UndistortMapTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CvRNG* rng = ts->get_rng();
CvArrTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
int depth = cvTsRandInt(rng)%2 ? CV_64F : CV_32F;
CvSize sz = sizes[OUTPUT][0];
types[INPUT][0] = types[INPUT][1] = depth;
dualChannel = cvTsRandInt(rng)%2 == 0;
types[OUTPUT][0] = types[OUTPUT][1] =
types[REF_OUTPUT][0] = types[REF_OUTPUT][1] = dualChannel ? CV_32FC2 : CV_32F;
sizes[INPUT][0] = cvSize(3,3);
sizes[INPUT][1] = cvTsRandInt(rng)%2 ? cvSize(4,1) : cvSize(1,4);
sz.width = MAX(sz.width,16);
sz.height = MAX(sz.height,16);
sizes[OUTPUT][0] = sizes[OUTPUT][1] =
sizes[REF_OUTPUT][0] = sizes[REF_OUTPUT][1] = sz;
}
void CV_UndistortMapTest::fill_array( int test_case_idx, int i, int j, CvMat* arr )
{
if( i != INPUT )
CvArrTest::fill_array( test_case_idx, i, j, arr );
}
void CV_UndistortMapTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CvArrTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
}
void CV_UndistortMapTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
CvArrTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_UndistortMapTest::run_func()
{
if (!dualChannel )
cvInitUndistortMap( &test_mat[INPUT][0], &test_mat[INPUT][1],
test_array[OUTPUT][0], test_array[OUTPUT][1] );
else
cvInitUndistortMap( &test_mat[INPUT][0], &test_mat[INPUT][1],
test_array[OUTPUT][0], 0 );
}
double CV_UndistortMapTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
return 1e-3;
}
int CV_UndistortMapTest::prepare_test_case( int test_case_idx )
{
CvRNG* rng = ts->get_rng();
int code = CvArrTest::prepare_test_case( test_case_idx );
const CvMat* mapx = &test_mat[OUTPUT][0];
double k[4], a[9] = {0,0,0,0,0,0,0,0,1};
double sz = MAX(mapx->rows, mapx->cols);
CvMat* _a0 = &test_mat[INPUT][0], *_k0 = &test_mat[INPUT][1];
CvMat _a = cvMat(3,3,CV_64F,a);
CvMat _k = cvMat(_k0->rows,_k0->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(_k0->type)),k);
if( code <= 0 )
return code;
if( ts->get_testing_mode() == CvTS::CORRECTNESS_CHECK_MODE )
{
double aspect_ratio = cvTsRandReal(rng)*0.6 + 0.7;
a[2] = (mapx->cols - 1)*0.5 + cvTsRandReal(rng)*10 - 5;
a[5] = (mapx->rows - 1)*0.5 + cvTsRandReal(rng)*10 - 5;
a[0] = sz/(0.9 - cvTsRandReal(rng)*0.6);
a[4] = aspect_ratio*a[0];
k[0] = cvTsRandReal(rng)*0.06 - 0.03;
k[1] = cvTsRandReal(rng)*0.06 - 0.03;
if( k[0]*k[1] > 0 )
k[1] = -k[1];
k[2] = cvTsRandReal(rng)*0.004 - 0.002;
k[3] = cvTsRandReal(rng)*0.004 - 0.002;
}
else
{
int i;
a[2] = (mapx->cols - 1)*remap_undistort_params[0];
a[5] = (mapx->rows - 1)*remap_undistort_params[1];
a[0] = sz/remap_undistort_params[2];
a[4] = sz/remap_undistort_params[3];
for( i = 0; i < 4; i++ )
k[i] = remap_undistort_params[i+4];
}
cvTsConvert( &_a, _a0 );
cvTsConvert( &_k, _k0 );
if (dualChannel)
{
cvZero(&test_mat[REF_OUTPUT][1]);
cvZero(&test_mat[OUTPUT][1]);
}
return code;
}
void CV_UndistortMapTest::prepare_to_validation( int )
{
if (!dualChannel )
cvTsInitUndistortMap( &test_mat[INPUT][0], &test_mat[INPUT][1],
&test_mat[REF_OUTPUT][0], &test_mat[REF_OUTPUT][1] );
else
cvTsInitUndistortMap( &test_mat[INPUT][0], &test_mat[INPUT][1],
&test_mat[REF_OUTPUT][0], 0 );
}
CV_UndistortMapTest undistortmap_test;
////////////////////////////// GetRectSubPix /////////////////////////////////
static const CvSize rectsubpix_sizes[] = {{11, 11}, {21,21}, {41,41},{-1,-1}};
static void
cvTsGetQuadrangeSubPix( const CvMat* src, CvMat* dst, double* a )
{
int y, x, k, cn;
int sstep = src->step / sizeof(float);
int scols = src->cols, srows = src->rows;
assert( CV_MAT_DEPTH(src->type) == CV_32F &&
CV_ARE_TYPES_EQ(src, dst));
cn = CV_MAT_CN(dst->type);
for( y = 0; y < dst->rows; y++ )
for( x = 0; x < dst->cols; x++ )
{
float* d = (float*)(dst->data.ptr + y*dst->step) + x*cn;
float sx = (float)(a[0]*x + a[1]*y + a[2]);
float sy = (float)(a[3]*x + a[4]*y + a[5]);
int ix = cvFloor(sx), iy = cvFloor(sy);
int dx = cn, dy = sstep;
const float* s;
sx -= ix; sy -= iy;
if( (unsigned)ix >= (unsigned)(scols-1) )
ix = ix < 0 ? 0 : scols - 1, sx = 0, dx = 0;
if( (unsigned)iy >= (unsigned)(srows-1) )
iy = iy < 0 ? 0 : srows - 1, sy = 0, dy = 0;
s = src->data.fl + sstep*iy + ix*cn;
for( k = 0; k < cn; k++, s++ )
{
float t0 = s[0] + sx*(s[dx] - s[0]);
float t1 = s[dy] + sx*(s[dy + dx] - s[dy]);
d[k] = t0 + sy*(t1 - t0);
}
}
}
class CV_GetRectSubPixTest : public CV_ImgWarpBaseTest
{
public:
CV_GetRectSubPixTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
void fill_array( int test_case_idx, int i, int j, CvMat* arr );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
CvPoint2D32f center;
bool test_cpp;
};
CV_GetRectSubPixTest::CV_GetRectSubPixTest()
: CV_ImgWarpBaseTest( "warp-subpix-rect", "cvGetRectSubPix", false )
{
//spatial_scale_zoom = spatial_scale_decimate;
spatial_scale_decimate = spatial_scale_zoom;
//default_timing_param_names = imgwarp_perspective_param_names;
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
default_timing_param_names = 0;
test_cpp = false;
}
int CV_GetRectSubPixTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "rect_size", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; rectsubpix_sizes[i].width > 0; i++ )
{
cvStartWriteStruct( fs, 0, CV_NODE_SEQ+CV_NODE_FLOW );
cvWriteInt( fs, 0, rectsubpix_sizes[i].width );
cvWriteInt( fs, 0, rectsubpix_sizes[i].height );
cvEndWriteStruct(fs);
}
cvEndWriteStruct(fs);
}
return code;
}
void CV_GetRectSubPixTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
CvRNG* rng = ts->get_rng();
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
int src_depth = cvTsRandInt(rng) % 2, dst_depth;
int cn = cvTsRandInt(rng) % 2 ? 3 : 1;
CvSize src_size, dst_size;
dst_depth = src_depth = src_depth == 0 ? CV_8U : CV_32F;
if( src_depth < CV_32F && cvTsRandInt(rng) % 2 )
dst_depth = CV_32F;
types[INPUT][0] = CV_MAKETYPE(src_depth,cn);
types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(dst_depth,cn);
src_size = sizes[INPUT][0];
dst_size.width = cvRound(sqrt(cvTsRandReal(rng)*src_size.width) + 1);
dst_size.height = cvRound(sqrt(cvTsRandReal(rng)*src_size.height) + 1);
dst_size.width = MIN(dst_size.width,src_size.width);
dst_size.height = MIN(dst_size.width,src_size.height);
sizes[INPUT_OUTPUT][0] = sizes[REF_INPUT_OUTPUT][0] = dst_size;
center.x = (float)(cvTsRandReal(rng)*src_size.width);
center.y = (float)(cvTsRandReal(rng)*src_size.height);
interpolation = CV_INTER_LINEAR;
test_cpp = (cvTsRandInt(rng) & 256) == 0;
}
void CV_GetRectSubPixTest::fill_array( int test_case_idx, int i, int j, CvMat* arr )
{
if( i != INPUT )
CV_ImgWarpBaseTestImpl::fill_array( test_case_idx, i, j, arr );
}
void CV_GetRectSubPixTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
interpolation = CV_INTER_LINEAR;
}
void CV_GetRectSubPixTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_GetRectSubPixTest::run_func()
{
if(!test_cpp)
cvGetRectSubPix( test_array[INPUT][0], test_array[INPUT_OUTPUT][0], center );
else
{
cv::Mat _out = cv::cvarrToMat(test_array[INPUT_OUTPUT][0]);
cv::getRectSubPix( cv::cvarrToMat(test_array[INPUT][0]), _out.size(), center, _out, _out.type());
}
}
double CV_GetRectSubPixTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int in_depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
int out_depth = CV_MAT_DEPTH(test_mat[INPUT_OUTPUT][0].type);
return in_depth >= CV_32F ? 1e-3 : out_depth >= CV_32F ? 1e-2 : 1;
}
int CV_GetRectSubPixTest::prepare_test_case( int test_case_idx )
{
return CV_ImgWarpBaseTest::prepare_test_case( test_case_idx );
}
void CV_GetRectSubPixTest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat* src0 = &test_mat[INPUT][0];
CvMat* dst0 = &test_mat[REF_INPUT_OUTPUT][0];
CvMat* src = src0, *dst = dst0;
int ftype = CV_MAKETYPE(CV_32F,CV_MAT_CN(src0->type));
double a[] = { 1, 0, center.x - dst->cols*0.5 + 0.5,
0, 1, center.y - dst->rows*0.5 + 0.5 };
if( CV_MAT_DEPTH(src->type) != CV_32F )
{
src = cvCreateMat( src0->rows, src0->cols, ftype );
cvTsConvert( src0, src );
}
if( CV_MAT_DEPTH(dst->type) != CV_32F )
dst = cvCreateMat( dst0->rows, dst0->cols, ftype );
cvTsGetQuadrangeSubPix( src, dst, a );
if( dst != dst0 )
{
cvTsConvert( dst, dst0 );
cvReleaseMat( &dst );
}
if( src != src0 )
cvReleaseMat( &src );
}
CV_GetRectSubPixTest subpix_rect_test;
class CV_GetQuadSubPixTest : public CV_ImgWarpBaseTest
{
public:
CV_GetQuadSubPixTest();
protected:
void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
void run_func();
int prepare_test_case( int test_case_idx );
void prepare_to_validation( int /*test_case_idx*/ );
double get_success_error_level( int test_case_idx, int i, int j );
int write_default_params(CvFileStorage* fs);
void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
CvSize** whole_sizes, bool *are_images );
void print_timing_params( int test_case_idx, char* ptr, int params_left );
};
CV_GetQuadSubPixTest::CV_GetQuadSubPixTest()
: CV_ImgWarpBaseTest( "warp-subpix-quad", "cvGetQuadSubPix", true )
{
//spatial_scale_zoom = spatial_scale_decimate;
spatial_scale_decimate = spatial_scale_zoom;
//default_timing_param_names = imgwarp_affine_param_names;
support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
default_timing_param_names = 0;
}
int CV_GetQuadSubPixTest::write_default_params( CvFileStorage* fs )
{
int code = CV_ImgWarpBaseTest::write_default_params( fs );
if( code < 0 )
return code;
if( ts->get_testing_mode() == CvTS::TIMING_MODE )
{
int i;
start_write_param( fs );
cvStartWriteStruct( fs, "rotate_scale", CV_NODE_SEQ+CV_NODE_FLOW );
for( i = 0; imgwarp_affine_rotate_scale[i][0] >= 0; i++ )
{
cvStartWriteStruct( fs, 0, CV_NODE_SEQ+CV_NODE_FLOW );
cvWriteRawData( fs, imgwarp_affine_rotate_scale[i], 4, "d" );
cvEndWriteStruct(fs);
}
cvEndWriteStruct(fs);
}
return code;
}
void CV_GetQuadSubPixTest::get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types )
{
int min_size = 4;
CV_ImgWarpBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
CvSize sz = sizes[INPUT][0], dsz;
CvRNG* rng = ts->get_rng();
int msz, src_depth = cvTsRandInt(rng) % 2, dst_depth;
int cn = cvTsRandInt(rng) % 2 ? 3 : 1;
dst_depth = src_depth = src_depth == 0 ? CV_8U : CV_32F;
if( src_depth < CV_32F && cvTsRandInt(rng) % 2 )
dst_depth = CV_32F;
types[INPUT][0] = CV_MAKETYPE(src_depth,cn);
types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(dst_depth,cn);
sz.width = MAX(sz.width,min_size);
sz.height = MAX(sz.height,min_size);
sizes[INPUT][0] = sz;
msz = MIN( sz.width, sz.height );
dsz.width = cvRound(sqrt(cvTsRandReal(rng)*msz) + 1);
dsz.height = cvRound(sqrt(cvTsRandReal(rng)*msz) + 1);
dsz.width = MIN(dsz.width,msz);
dsz.height = MIN(dsz.width,msz);
dsz.width = MAX(dsz.width,min_size);
dsz.height = MAX(dsz.height,min_size);
sizes[INPUT_OUTPUT][0] = sizes[REF_INPUT_OUTPUT][0] = dsz;
sizes[INPUT][1] = cvSize( 3, 2 );
}
void CV_GetQuadSubPixTest::get_timing_test_array_types_and_sizes( int test_case_idx,
CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
CV_ImgWarpBaseTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
whole_sizes, are_images );
sizes[INPUT][1] = whole_sizes[INPUT][1] = cvSize(3,2);
sizes[TEMP][0] = whole_sizes[TEMP][0] =
sizes[TEMP][1] = whole_sizes[TEMP][1] = cvSize(0,0);
types[INPUT][1] = CV_64FC1;
interpolation = CV_INTER_LINEAR;
}
void CV_GetQuadSubPixTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
double coeffs[4];
const CvFileNode* node = find_timing_param( "rotate_scale" );
assert( node && CV_NODE_IS_SEQ(node->tag) );
cvReadRawData( ts->get_file_storage(), node, coeffs, "4d" );
sprintf( ptr, "fx=%.2f,fy=%.2f,angle=%.1fdeg,scale=%.1f,", coeffs[0], coeffs[1], coeffs[2], coeffs[3] );
ptr += strlen(ptr);
params_left -= 4;
CV_ImgWarpBaseTest::print_timing_params( test_case_idx, ptr, params_left );
}
void CV_GetQuadSubPixTest::run_func()
{
cvGetQuadrangleSubPix( test_array[INPUT][0],
test_array[INPUT_OUTPUT][0], &test_mat[INPUT][1] );
}
double CV_GetQuadSubPixTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
{
int in_depth = CV_MAT_DEPTH(test_mat[INPUT][0].type);
//int out_depth = CV_MAT_DEPTH(test_mat[INPUT_OUTPUT][0].type);
return in_depth >= CV_32F ? 1e-2 : 4;
}
int CV_GetQuadSubPixTest::prepare_test_case( int test_case_idx )
{
CvRNG* rng = ts->get_rng();
int code = CV_ImgWarpBaseTest::prepare_test_case( test_case_idx );
const CvMat* src = &test_mat[INPUT][0];
CvMat* mat = &test_mat[INPUT][1];
CvPoint2D32f center;
double scale, angle;
if( code <= 0 )
return code;
if( ts->get_testing_mode() == CvTS::CORRECTNESS_CHECK_MODE )
{
double a[6];
CvMat A = cvMat( 2, 3, CV_64FC1, a );
center.x = (float)((cvTsRandReal(rng)*1.2 - 0.1)*src->cols);
center.y = (float)((cvTsRandReal(rng)*1.2 - 0.1)*src->rows);
angle = cvTsRandReal(rng)*360;
scale = cvTsRandReal(rng)*0.2 + 0.9;
// y = Ax + b -> x = A^-1(y - b) = A^-1*y - A^-1*b
scale = 1./scale;
angle = angle*(CV_PI/180.);
a[0] = a[4] = cos(angle)*scale;
a[1] = sin(angle)*scale;
a[3] = -a[1];
a[2] = center.x - a[0]*center.x - a[1]*center.y;
a[5] = center.y - a[3]*center.x - a[4]*center.y;
cvTsConvert( &A, mat );
}
return code;
}
void CV_GetQuadSubPixTest::prepare_to_validation( int /*test_case_idx*/ )
{
CvMat* src0 = &test_mat[INPUT][0];
CvMat* dst0 = &test_mat[REF_INPUT_OUTPUT][0];
CvMat* src = src0, *dst = dst0;
int ftype = CV_MAKETYPE(CV_32F,CV_MAT_CN(src0->type));
double a[6], dx = (dst0->cols - 1)*0.5, dy = (dst0->rows - 1)*0.5;
CvMat A = cvMat( 2, 3, CV_64F, a );
if( CV_MAT_DEPTH(src->type) != CV_32F )
{
src = cvCreateMat( src0->rows, src0->cols, ftype );
cvTsConvert( src0, src );
}
if( CV_MAT_DEPTH(dst->type) != CV_32F )
dst = cvCreateMat( dst0->rows, dst0->cols, ftype );
cvTsConvert( &test_mat[INPUT][1], &A );
a[2] -= a[0]*dx + a[1]*dy;
a[5] -= a[3]*dx + a[4]*dy;
cvTsGetQuadrangeSubPix( src, dst, a );
if( dst != dst0 )
{
cvTsConvert( dst, dst0 );
cvReleaseMat( &dst );
}
if( src != src0 )
cvReleaseMat( &src );
}
CV_GetQuadSubPixTest warp_subpix_quad_test;
/* End of file. */