Open Source Computer Vision Library https://opencv.org/
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#include "perf_feature2d.hpp"
PERF_TEST_P(feature2d, detect, testing::Combine(Feature2DType::all(), TEST_IMAGES))
{
Ptr<Feature2D> detector = getFeature2D(get<0>(GetParam()));
std::string filename = getDataPath(get<1>(GetParam()));
Mat img = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(detector);
declare.in(img);
Mat mask;
vector<KeyPoint> points;
TEST_CYCLE() detector->detect(img, points, mask);
EXPECT_GT(points.size(), 20u);
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(feature2d, extract, testing::Combine(testing::Values(DETECTORS_EXTRACTORS), TEST_IMAGES))
{
Ptr<Feature2D> detector = AKAZE::create();
Ptr<Feature2D> extractor = getFeature2D(get<0>(GetParam()));
std::string filename = getDataPath(get<1>(GetParam()));
Mat img = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(extractor);
declare.in(img);
Mat mask;
vector<KeyPoint> points;
detector->detect(img, points, mask);
EXPECT_GT(points.size(), 20u);
Mat descriptors;
TEST_CYCLE() extractor->compute(img, points, descriptors);
EXPECT_EQ((size_t)descriptors.rows, points.size());
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(feature2d, detectAndExtract, testing::Combine(testing::Values(DETECTORS_EXTRACTORS), TEST_IMAGES))
{
Ptr<Feature2D> detector = getFeature2D(get<0>(GetParam()));
std::string filename = getDataPath(get<1>(GetParam()));
Mat img = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(detector);
declare.in(img);
Mat mask;
vector<KeyPoint> points;
Mat descriptors;
TEST_CYCLE() detector->detectAndCompute(img, mask, points, descriptors, false);
EXPECT_GT(points.size(), 20u);
EXPECT_EQ((size_t)descriptors.rows, points.size());
SANITY_CHECK_NOTHING();
}