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Open Source Computer Vision Library
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37 lines
1.2 KiB
37 lines
1.2 KiB
13 years ago
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#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.jpg", "cv/shared/pic5.png"),
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testing::Values( 3, 5 ),
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testing::Values( 3, 5 ),
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testing::ValuesIn(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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SANITY_CHECK(dst);
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}
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