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Open Source Computer Vision Library
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93 lines
2.4 KiB
93 lines
2.4 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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typedef std::tr1::tuple<Size, MatType, MatDepth> Size_MatType_OutMatDepth_t; |
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typedef perf::TestBaseWithParam<Size_MatType_OutMatDepth_t> Size_MatType_OutMatDepth; |
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/* |
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// void integral(InputArray image, OutputArray sum, int sdepth=-1 ) |
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*/ |
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PERF_TEST_P( Size_MatType_OutMatDepth, integral, |
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testing::Combine( |
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testing::Values( TYPICAL_MAT_SIZES ), |
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testing::Values( CV_8UC1, CV_8UC4 ), |
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testing::Values( CV_32S, CV_32F, CV_64F ) |
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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 matType = std::tr1::get<1>(GetParam()); |
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int sdepth = std::tr1::get<2>(GetParam()); |
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Mat src(sz, matType); |
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Mat sum(sz, sdepth); |
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declare.in(src, WARMUP_RNG).out(sum); |
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TEST_CYCLE(100) { integral(src, sum, sdepth); } |
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SANITY_CHECK(sum); |
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} |
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/* |
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// void integral(InputArray image, OutputArray sum, OutputArray sqsum, int sdepth=-1 ) |
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*/ |
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PERF_TEST_P( Size_MatType_OutMatDepth, integral_sqsum, |
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testing::Combine( |
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testing::Values( TYPICAL_MAT_SIZES ), |
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testing::Values( CV_8UC1, CV_8UC4 ), |
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testing::Values( CV_32S, CV_32F, CV_64F ) |
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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 matType = std::tr1::get<1>(GetParam()); |
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int sdepth = std::tr1::get<2>(GetParam()); |
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Mat src(sz, matType); |
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Mat sum(sz, sdepth); |
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Mat sqsum(sz, sdepth); |
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declare.in(src, WARMUP_RNG).out(sum, sqsum); |
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TEST_CYCLE(100) { integral(src, sum, sqsum, sdepth); } |
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SANITY_CHECK(sum); |
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SANITY_CHECK(sqsum); |
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} |
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/* |
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// void integral(InputArray image, OutputArray sum, OutputArray sqsum, OutputArray tilted, int sdepth=-1 ) |
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*/ |
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PERF_TEST_P( Size_MatType_OutMatDepth, integral_sqsum_tilted, |
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testing::Combine( |
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testing::Values( TYPICAL_MAT_SIZES ), |
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testing::Values( CV_8UC1, CV_8UC4 ), |
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testing::Values( CV_32S, CV_32F, CV_64F ) |
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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 matType = std::tr1::get<1>(GetParam()); |
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int sdepth = std::tr1::get<2>(GetParam()); |
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Mat src(sz, matType); |
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Mat sum(sz, sdepth); |
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Mat sqsum(sz, sdepth); |
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Mat tilted(sz, sdepth); |
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declare.in(src, WARMUP_RNG).out(sum, sqsum, tilted); |
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TEST_CYCLE(100) { integral(src, sum, sqsum, tilted, sdepth); } |
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SANITY_CHECK(sum); |
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SANITY_CHECK(sqsum); |
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SANITY_CHECK(tilted); |
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}
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