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