perf_gftt.cpp

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#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"

#include <sstream>

#ifdef HAVE_OPENCL

namespace opencv_test {
namespace ocl {

//////////////////////////// GoodFeaturesToTrack //////////////////////////

typedef tuple<String, double, bool> GoodFeaturesToTrackParams;
typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;

OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
                ::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
                                   OCL_PERF_ENUM(0.0, 3.0), Bool()))
{
    GoodFeaturesToTrackParams params = GetParam();
    const String fileName = get<0>(params);
    const double minDistance = get<1>(params), qualityLevel = 0.01;
    const bool harrisDetector = get<2>(params);
    const int maxCorners = 1000;

    Mat img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty()) << "could not load " << fileName;

    checkDeviceMaxMemoryAllocSize(img.size(), img.type());

    UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
    img.copyTo(src);

    declare.in(src, WARMUP_READ).out(dst);

    OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel,
                                             minDistance, noArray(), 3, 3, harrisDetector, 0.04);

    SANITY_CHECK(dst);
}

} } // namespace opencv_test::ocl

#endif