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#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;
CV_ENUM(BorderMode, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101)
typedef TestBaseWithParam< tr1::tuple<Size, int, BorderMode> > TestFilter2d;
typedef TestBaseWithParam< tr1::tuple<String, int> > Image_KernelSize;
PERF_TEST_P( TestFilter2d, Filter2d,
Combine(
Values( Size(320, 240), sz1080p ),
Values( 3, 5 ),
BorderMode::all()
)
)
{
Size sz;
int borderMode, kSize;
sz = get<0>(GetParam());
kSize = get<1>(GetParam());
borderMode = get<2>(GetParam());
Mat src(sz, CV_8UC4);
Mat dst(sz, CV_8UC4);
Mat kernel(kSize, kSize, CV_32FC1);
randu(kernel, -3, 10);
double s = fabs( sum(kernel)[0] );
if(s > 1e-3) kernel /= s;
declare.in(src, WARMUP_RNG).out(dst).time(20);
TEST_CYCLE() filter2D(src, dst, CV_8UC4, kernel, Point(1, 1), 0., borderMode);
SANITY_CHECK(dst, 1);
}
PERF_TEST_P( Image_KernelSize, GaborFilter2d,
Combine(
Values("stitching/a1.png", "cv/shared/pic5.png"),
Values(16, 32, 64) )
)
{
String fileName = getDataPath(get<0>(GetParam()));
Mat sourceImage = imread(fileName, IMREAD_GRAYSCALE);
if( sourceImage.empty() )
{
FAIL() << "Unable to load source image" << fileName;
}
int kernelSize = get<1>(GetParam());
double sigma = 4;
double lambda = 11;
double theta = 47;
double gamma = 0.5;
Mat gaborKernel = getGaborKernel(Size(kernelSize, kernelSize), sigma, theta, lambda, gamma);
Mat filteredImage;
declare.in(sourceImage);
TEST_CYCLE()
{
filter2D(sourceImage, filteredImage, CV_32F, gaborKernel);
}
SANITY_CHECK(filteredImage, 1e-3);
}
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