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Open Source Computer Vision Library
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62 lines
1.5 KiB
62 lines
1.5 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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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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