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Open Source Computer Vision Library
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63 lines
1.5 KiB
63 lines
1.5 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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CV_ENUM(ThreshType, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV)
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typedef std::tr1::tuple<Size, MatType, ThreshType> Size_MatType_ThreshType_t;
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typedef perf::TestBaseWithParam<Size_MatType_ThreshType_t> Size_MatType_ThreshType;
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PERF_TEST_P(Size_MatType_ThreshType, threshold,
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testing::Combine(
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testing::Values(TYPICAL_MAT_SIZES),
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testing::Values(CV_8UC1, CV_16SC1),
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testing::ValuesIn(ThreshType::all())
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)
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)
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{
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Size sz = std::tr1::get<0>(GetParam());
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int type = std::tr1::get<1>(GetParam());
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ThreshType threshType = std::tr1::get<2>(GetParam());
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Mat src(sz, type);
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Mat dst(sz, type);
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double thresh = cv::theRNG().uniform(1, 254);
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double maxval = cv::theRNG().uniform(1, 254);
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declare.in(src, WARMUP_RNG).out(dst);
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TEST_CYCLE(100)
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{
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cv::threshold(src, dst, thresh, maxval, threshType);
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}
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SANITY_CHECK(dst);
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}
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typedef perf::TestBaseWithParam<Size> Size_Only;
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PERF_TEST_P(Size_Only, threshold_otsu, testing::Values(TYPICAL_MAT_SIZES) )
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{
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Size sz = GetParam();
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Mat src(sz, CV_8UC1);
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Mat dst(sz, CV_8UC1);
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double maxval = cv::theRNG().uniform(1, 254);
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declare.in(src, WARMUP_RNG).out(dst);
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TEST_CYCLE(100)
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{
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cv::threshold(src, dst, 0, maxval, THRESH_BINARY|THRESH_OTSU);
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}
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SANITY_CHECK(dst);
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}
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