opencv/modules/ocl/perf/perf_gftt.cpp

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// @Authors
//    Peng Xiao, pengxiao@outlook.com
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#include "perf_precomp.hpp"

using namespace perf;
using std::tr1::tuple;
using std::tr1::get;

///////////// 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), testing::Bool()))
{
    const 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 frame = imread(getDataPath(fileName), IMREAD_GRAYSCALE);
    ASSERT_FALSE(frame.empty()) << "no input image";

    vector<Point2f> pts_gold;
    declare.in(frame);

    if (RUN_OCL_IMPL)
    {
        ocl::oclMat oclFrame(frame), pts_oclmat;
        ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance, 3,
                                                      harrisDetector);

        OCL_TEST_CYCLE() detector(oclFrame, pts_oclmat);

        detector.downloadPoints(pts_oclmat, pts_gold);

        SANITY_CHECK(pts_gold);
    }
    else if (RUN_PLAIN_IMPL)
    {
        TEST_CYCLE() cv::goodFeaturesToTrack(frame, pts_gold,
                                             maxCorners, qualityLevel, minDistance, noArray(), 3, harrisDetector);

        SANITY_CHECK(pts_gold);
    }
    else
        OCL_PERF_ELSE
}