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Open Source Computer Vision Library
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40 lines
1.1 KiB
40 lines
1.1 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, int> Size_SrcDepth_DstChannels_t; |
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typedef perf::TestBaseWithParam<Size_SrcDepth_DstChannels_t> Size_SrcDepth_DstChannels; |
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PERF_TEST_P( Size_SrcDepth_DstChannels, merge, |
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testing::Combine |
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( |
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testing::Values(TYPICAL_MAT_SIZES), |
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testing::Values(CV_8U, CV_16S, CV_32S, CV_32F, CV_64F), |
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testing::Values(2, 3, 4) |
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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 srcDepth = get<1>(GetParam()); |
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int dstChannels = get<2>(GetParam()); |
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int maxValue = 255; |
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vector<Mat> mv; |
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for( int i = 0; i < dstChannels; ++i ) |
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{ |
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mv.push_back( Mat(sz, CV_MAKETYPE(srcDepth, 1)) ); |
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randu(mv[i], 0, maxValue); |
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} |
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Mat dst; |
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int runs = (sz.width <= 640) ? 8 : 1; |
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TEST_CYCLE_MULTIRUN(runs) merge( (vector<Mat> &)mv, dst ); |
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double eps = srcDepth <= CV_32S ? 1e-12 : (FLT_EPSILON * maxValue); |
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SANITY_CHECK(dst, eps); |
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}
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