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Open Source Computer Vision Library
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69 lines
2.1 KiB
69 lines
2.1 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 namespace testing; |
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using std::tr1::make_tuple; |
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using std::tr1::get; |
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CV_ENUM(InterType, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_LANCZOS4) |
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typedef TestBaseWithParam< tr1::tuple<Size, MatType, MatType, InterType> > TestRemap; |
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PERF_TEST_P( TestRemap, Remap, |
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Combine( |
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Values( szVGA, sz1080p ), |
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Values( CV_16UC1, CV_16SC1, CV_32FC1 ), |
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Values( CV_16SC2, CV_32FC1, CV_32FC2 ), |
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ValuesIn( InterType::all() ) |
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) |
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) |
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{ |
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Size sz; |
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int src_type, map1_type, inter_type; |
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sz = get<0>(GetParam()); |
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src_type = get<1>(GetParam()); |
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map1_type = get<2>(GetParam()); |
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inter_type = get<3>(GetParam()); |
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Mat src(sz, src_type), dst(sz, src_type), map1(sz, map1_type), map2; |
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if (map1_type == CV_32FC1) |
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map2.create(sz, CV_32FC1); |
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else if (inter_type != INTER_NEAREST && map1_type == CV_16SC2) |
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{ |
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map2.create(sz, CV_16UC1); |
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map2 = Scalar::all(0); |
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} |
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RNG rng; |
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rng.fill(src, RNG::UNIFORM, 0, 256); |
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for (int j = 0; j < map1.rows; ++j) |
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for (int i = 0; i < map1.cols; ++i) |
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switch (map1_type) |
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{ |
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case CV_32FC1: |
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map1.at<float>(j, i) = static_cast<float>(src.cols - i - 1); |
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map2.at<float>(j, i) = static_cast<float>(j); |
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break; |
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case CV_32FC2: |
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map1.at<Vec2f>(j, i)[0] = static_cast<float>(src.cols - i - 1); |
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map1.at<Vec2f>(j, i)[1] = static_cast<float>(j); |
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break; |
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case CV_16SC2: |
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map1.at<Vec2s>(j, i)[0] = static_cast<short>(src.cols - i - 1); |
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map1.at<Vec2s>(j, i)[1] = static_cast<short>(j); |
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break; |
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default: |
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CV_Assert(0); |
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} |
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declare.in(src, WARMUP_RNG).out(dst).time(20); |
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TEST_CYCLE() remap(src, dst, map1, map2, inter_type); |
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SANITY_CHECK(dst); |
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}
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