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https://github.com/opencv/opencv.git
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4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
82 lines
2.1 KiB
C++
82 lines
2.1 KiB
C++
#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#include "../perf_feature2d.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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OCL_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 mimg = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(mimg.empty());
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ASSERT_TRUE(detector);
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UMat img, mask;
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mimg.copyTo(img);
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declare.in(img);
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vector<KeyPoint> points;
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OCL_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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OCL_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 mimg = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(mimg.empty());
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ASSERT_TRUE(extractor);
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UMat img, mask;
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mimg.copyTo(img);
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declare.in(img);
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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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UMat descriptors;
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OCL_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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OCL_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 mimg = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(mimg.empty());
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ASSERT_TRUE(detector);
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UMat img, mask;
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mimg.copyTo(img);
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declare.in(img);
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vector<KeyPoint> points;
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UMat descriptors;
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OCL_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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} // ocl
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} // cvtest
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#endif // HAVE_OPENCL
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