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Open Source Computer Vision Library
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31 lines
1023 B
31 lines
1023 B
#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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#define MAT_TYPES_DFT CV_32FC1, CV_32FC2, CV_64FC1 |
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#define MAT_SIZES_DFT cv::Size(320, 480), cv::Size(800, 600), cv::Size(1280, 1024), sz1080p, sz2K |
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CV_ENUM(FlagsType, 0, DFT_INVERSE, DFT_SCALE, DFT_COMPLEX_OUTPUT, DFT_ROWS, DFT_INVERSE|DFT_COMPLEX_OUTPUT) |
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#define TEST_MATS_DFT testing::Combine(testing::Values(MAT_SIZES_DFT), testing::Values(MAT_TYPES_DFT), FlagsType::all()) |
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typedef std::tr1::tuple<Size, MatType, FlagsType> Size_MatType_FlagsType_t; |
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typedef perf::TestBaseWithParam<Size_MatType_FlagsType_t> Size_MatType_FlagsType; |
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PERF_TEST_P(Size_MatType_FlagsType, dft, TEST_MATS_DFT) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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int flags = get<2>(GetParam()); |
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Mat src(sz, type); |
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Mat dst(sz, type); |
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declare.in(src, WARMUP_RNG).time(60); |
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TEST_CYCLE() dft(src, dst, flags); |
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SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE); |
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} |