OpenCV/opencv/modules/imgproc/perf/perf_goodFeaturesToTrack.cpp

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"

namespace opencv_test {

typedef tuple<string, int, double, int, int, bool> Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris_t;
typedef perf::TestBaseWithParam<Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris_t> Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris;

PERF_TEST_P(Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris, goodFeaturesToTrack,
            testing::Combine(
                testing::Values( "stitching/a1.png", "cv/shared/pic5.png"),
                testing::Values( 100, 500 ),
                testing::Values( 0.1, 0.01 ),
                testing::Values( 3, 5 ),
                testing::Values( 3, 5 ),
                testing::Bool()
                )
          )
{
    string filename = getDataPath(get<0>(GetParam()));
    int maxCorners = get<1>(GetParam());
    double qualityLevel = get<2>(GetParam());
    int blockSize = get<3>(GetParam());
    int gradientSize = get<4>(GetParam());
    bool useHarrisDetector = get<5>(GetParam());

    Mat image = imread(filename, IMREAD_GRAYSCALE);
    if (image.empty())
        FAIL() << "Unable to load source image" << filename;

    std::vector<Point2f> corners;

    double minDistance = 1;
    TEST_CYCLE() goodFeaturesToTrack(image, corners, maxCorners, qualityLevel, minDistance, noArray(), blockSize, gradientSize, useHarrisDetector);

    if (corners.size() > 50)
        corners.erase(corners.begin() + 50, corners.end());

    SANITY_CHECK(corners);
}

PERF_TEST_P(Image_MaxCorners_QualityLevel_MinDistance_BlockSize_gradientSize_UseHarris, goodFeaturesToTrackWithQuality,
            testing::Combine(
                    testing::Values( "stitching/a1.png", "cv/shared/pic5.png"),
                    testing::Values( 50 ),
                    testing::Values( 0.01 ),
                    testing::Values( 3 ),
                    testing::Values( 3 ),
                    testing::Bool()
            )
)
{
    string filename = getDataPath(get<0>(GetParam()));
    int maxCorners = get<1>(GetParam());
    double qualityLevel = get<2>(GetParam());
    int blockSize = get<3>(GetParam());
    int gradientSize = get<4>(GetParam());
    bool useHarrisDetector = get<5>(GetParam());
    double minDistance = 1;

    Mat image = imread(filename, IMREAD_GRAYSCALE);
    if (image.empty())
        FAIL() << "Unable to load source image" << filename;

    std::vector<Point2f> corners;
    std::vector<float> cornersQuality;

    TEST_CYCLE() goodFeaturesToTrack(image, corners, maxCorners, qualityLevel, minDistance, noArray(),
                                     cornersQuality, blockSize, gradientSize, useHarrisDetector);

    SANITY_CHECK(corners);
    SANITY_CHECK(cornersQuality, 1e-6);
}

} // namespace