Open Source Computer Vision Library https://opencv.org/
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12 years ago
#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using namespace testing;
using std::tr1::make_tuple;
using std::tr1::get;
enum{HALF_SIZE=0, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH};
CV_ENUM(BorderMode, BORDER_CONSTANT, BORDER_REPLICATE);
CV_ENUM(InterType, INTER_NEAREST, INTER_LINEAR);
CV_ENUM(RemapMode, HALF_SIZE, UPSIDE_DOWN, REFLECTION_X, REFLECTION_BOTH);
typedef TestBaseWithParam< tr1::tuple<Size, InterType, BorderMode> > TestWarpAffine;
typedef TestBaseWithParam< tr1::tuple<Size, InterType, BorderMode> > TestWarpPerspective;
typedef TestBaseWithParam< tr1::tuple<MatType, Size, InterType, BorderMode, RemapMode> > TestRemap;
void update_map(const Mat& src, Mat& map_x, Mat& map_y, const int remapMode );
PERF_TEST_P( TestWarpAffine, WarpAffine,
Combine(
Values( szVGA, sz720p, sz1080p ),
ValuesIn( InterType::all() ),
ValuesIn( BorderMode::all() )
)
)
{
Size sz;
int borderMode, interType;
sz = get<0>(GetParam());
borderMode = get<1>(GetParam());
interType = get<2>(GetParam());
Mat src, img = imread(getDataPath("cv/shared/fruits.png"));
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cvtColor(img, src, COLOR_BGR2RGBA, 4);
Mat warpMat = getRotationMatrix2D(Point2f(src.cols/2.f, src.rows/2.f), 30., 2.2);
Mat dst(sz, CV_8UC4);
declare.in(src).out(dst);
TEST_CYCLE() warpAffine( src, dst, warpMat, sz, interType, borderMode, Scalar::all(150) );
SANITY_CHECK(dst);
}
PERF_TEST_P( TestWarpPerspective, WarpPerspective,
Combine(
Values( szVGA, sz720p, sz1080p ),
ValuesIn( InterType::all() ),
ValuesIn( BorderMode::all() )
)
)
{
Size sz;
int borderMode, interType;
sz = get<0>(GetParam());
borderMode = get<1>(GetParam());
interType = get<2>(GetParam());
Mat src, img = imread(getDataPath("cv/shared/fruits.png"));
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cvtColor(img, src, COLOR_BGR2RGBA, 4);
Mat rotMat = getRotationMatrix2D(Point2f(src.cols/2.f, src.rows/2.f), 30., 2.2);
Mat warpMat(3, 3, CV_64FC1);
for(int r=0; r<2; r++)
for(int c=0; c<3; c++)
warpMat.at<double>(r, c) = rotMat.at<double>(r, c);
warpMat.at<double>(2, 0) = .3/sz.width;
warpMat.at<double>(2, 1) = .3/sz.height;
warpMat.at<double>(2, 2) = 1;
Mat dst(sz, CV_8UC4);
declare.in(src).out(dst);
TEST_CYCLE() warpPerspective( src, dst, warpMat, sz, interType, borderMode, Scalar::all(150) );
SANITY_CHECK(dst);
}
PERF_TEST_P( TestRemap, remap,
Combine(
Values( TYPICAL_MAT_TYPES ),
Values( szVGA, sz720p, sz1080p ),
ValuesIn( InterType::all() ),
ValuesIn( BorderMode::all() ),
ValuesIn( RemapMode::all() )
)
)
{
int type = get<0>(GetParam());
Size size = get<1>(GetParam());
int interpolationType = get<2>(GetParam());
int borderMode = get<3>(GetParam());
int remapMode = get<4>(GetParam());
unsigned int height = size.height;
unsigned int width = size.width;
Mat source(height, width, type);
Mat destination;
Mat map_x(height, width, CV_32F);
Mat map_y(height, width, CV_32F);
declare.in(source, WARMUP_RNG);
update_map(source, map_x, map_y, remapMode);
TEST_CYCLE()
{
remap(source, destination, map_x, map_y, interpolationType, borderMode);
}
SANITY_CHECK(destination, 1);
}
void update_map(const Mat& src, Mat& map_x, Mat& map_y, const int remapMode )
{
for( int j = 0; j < src.rows; j++ )
{
for( int i = 0; i < src.cols; i++ )
{
switch( remapMode )
{
case HALF_SIZE:
if( i > src.cols*0.25 && i < src.cols*0.75 && j > src.rows*0.25 && j < src.rows*0.75 )
{
map_x.at<float>(j,i) = 2*( i - src.cols*0.25f ) + 0.5f ;
map_y.at<float>(j,i) = 2*( j - src.rows*0.25f ) + 0.5f ;
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}
else
{
map_x.at<float>(j,i) = 0 ;
map_y.at<float>(j,i) = 0 ;
}
break;
case UPSIDE_DOWN:
map_x.at<float>(j,i) = static_cast<float>(i) ;
map_y.at<float>(j,i) = static_cast<float>(src.rows - j) ;
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break;
case REFLECTION_X:
map_x.at<float>(j,i) = static_cast<float>(src.cols - i) ;
map_y.at<float>(j,i) = static_cast<float>(j) ;
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break;
case REFLECTION_BOTH:
map_x.at<float>(j,i) = static_cast<float>(src.cols - i) ;
map_y.at<float>(j,i) = static_cast<float>(src.rows - j) ;
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break;
} // end of switch
}
}
}
PERF_TEST(Transform, getPerspectiveTransform)
{
unsigned int size = 8;
Mat source(1, size/2, CV_32FC2);
Mat destination(1, size/2, CV_32FC2);
Mat transformCoefficient;
declare.in(source, destination, WARMUP_RNG);
TEST_CYCLE()
{
transformCoefficient = getPerspectiveTransform(source, destination);
}
}