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Open Source Computer Vision Library
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40 lines
1.2 KiB
40 lines
1.2 KiB
#include "perf_precomp.hpp" |
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using namespace std; |
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using namespace cv; |
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using namespace perf; |
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using std::tr1::make_tuple; |
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using std::tr1::get; |
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CV_ENUM(BorderType, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_REFLECT_101) |
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typedef std::tr1::tuple<String, int, int, BorderType> Img_BlockSize_ApertureSize_BorderType_t; |
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typedef perf::TestBaseWithParam<Img_BlockSize_ApertureSize_BorderType_t> Img_BlockSize_ApertureSize_BorderType; |
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PERF_TEST_P(Img_BlockSize_ApertureSize_BorderType, cornerEigenValsAndVecs, |
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testing::Combine( |
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testing::Values( "stitching/a1.png", "cv/shared/pic5.png"), |
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testing::Values( 3, 5 ), |
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testing::Values( 3, 5 ), |
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BorderType::all() |
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) |
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) |
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{ |
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String filename = getDataPath(get<0>(GetParam())); |
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int blockSize = get<1>(GetParam()); |
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int apertureSize = get<2>(GetParam()); |
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BorderType borderType = get<3>(GetParam()); |
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Mat src = imread(filename, IMREAD_GRAYSCALE); |
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if (src.empty()) |
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FAIL() << "Unable to load source image" << filename; |
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Mat dst; |
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TEST_CYCLE() cornerEigenValsAndVecs(src, dst, blockSize, apertureSize, borderType); |
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Mat l1; |
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extractChannel(dst, l1, 0); |
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SANITY_CHECK(l1, 2e-5); |
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} |