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Open Source Computer Vision Library
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41 lines
1.4 KiB
41 lines
1.4 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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using std::tr1::make_tuple; |
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using std::tr1::get; |
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typedef std::tr1::tuple<Size, MatType, MatType, int, double> Size_DepthSrc_DepthDst_Channels_alpha_t; |
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typedef perf::TestBaseWithParam<Size_DepthSrc_DepthDst_Channels_alpha_t> Size_DepthSrc_DepthDst_Channels_alpha; |
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PERF_TEST_P( Size_DepthSrc_DepthDst_Channels_alpha, convertTo, |
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testing::Combine |
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( |
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testing::Values(szVGA, sz1080p), |
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testing::Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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testing::Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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testing::Values(1, 4), |
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testing::Values(1.0, 1./255) |
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) |
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) |
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{ |
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Size sz = get<0>(GetParam()); |
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int depthSrc = get<1>(GetParam()); |
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int depthDst = get<2>(GetParam()); |
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int channels = get<3>(GetParam()); |
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double alpha = get<4>(GetParam()); |
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int maxValue = 255; |
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Mat src(sz, CV_MAKETYPE(depthSrc, channels)); |
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randu(src, 0, maxValue); |
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Mat dst(sz, CV_MAKETYPE(depthDst, channels)); |
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int runs = (sz.width <= 640) ? 8 : 1; |
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TEST_CYCLE_MULTIRUN(runs) src.convertTo(dst, depthDst, alpha); |
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double eps = depthSrc <= CV_32S ? 1e-12 : (FLT_EPSILON * maxValue); |
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eps = eps * std::max(1.0, fabs(alpha)); |
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SANITY_CHECK(dst, eps); |
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}
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