opencv/modules/ocl/perf/perf_canny.cpp
2014-02-28 22:40:24 +04:00

86 lines
3.3 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// For Open Source Computer Vision Library
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// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
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#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// Canny ////////////////////////
typedef tuple<int, bool> CannyParams;
typedef TestBaseWithParam<CannyParams> CannyFixture;
OCL_PERF_TEST_P(CannyFixture, Canny,
::testing::Combine(OCL_PERF_ENUM(3, 5), testing::Bool()))
{
const CannyParams params = GetParam();
int apertureSize = get<0>(params);
bool L2Grad = get<1>(params);
Mat img = imread(getDataPath("gpu/stereobm/aloe-L.png"), cv::IMREAD_GRAYSCALE),
edges(img.size(), CV_8UC1);
ASSERT_TRUE(!img.empty()) << "can't open aloe-L.png";
declare.in(img).out(edges);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclImg(img), oclEdges(img.size(), CV_8UC1);
OCL_TEST_CYCLE() ocl::Canny(oclImg, oclEdges, 50.0, 100.0, apertureSize, L2Grad);
oclEdges.download(edges);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() Canny(img, edges, 50.0, 100.0, apertureSize, L2Grad);
}
else
OCL_PERF_ELSE
SANITY_CHECK_NOTHING();
}