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Open Source Computer Vision Library
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97 lines
3.2 KiB
97 lines
3.2 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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PERF_TEST_P(Size_MatType, pyrDown, testing::Combine( |
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testing::Values(sz1080p, sz720p, szVGA, szQVGA, szODD), |
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testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16SC1, CV_16SC3, CV_16SC4, CV_32FC1, CV_32FC3, CV_32FC4) |
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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 matType = get<1>(GetParam()); |
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const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5; |
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perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE; |
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Mat src(sz, matType); |
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Mat dst((sz.height + 1)/2, (sz.width + 1)/2, matType); |
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declare.in(src, WARMUP_RNG).out(dst); |
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TEST_CYCLE() pyrDown(src, dst); |
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SANITY_CHECK(dst, eps, error_type); |
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} |
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PERF_TEST_P(Size_MatType, pyrDown_ovx, testing::Combine( |
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testing::Values(sz1080p, sz720p, szVGA, szQVGA, szODD), |
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testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16SC1, CV_16SC3, CV_16SC4, CV_32FC1, CV_32FC3, CV_32FC4) |
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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 matType = get<1>(GetParam()); |
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const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5; |
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perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE; |
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Mat src(sz, matType); |
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Mat dst((sz.height + 1) / 2, (sz.width + 1) / 2, matType); |
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declare.in(src, WARMUP_RNG).out(dst); |
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TEST_CYCLE() pyrDown(src, dst, cv::Size(), BORDER_REPLICATE); |
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SANITY_CHECK(dst, eps, error_type); |
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} |
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PERF_TEST_P(Size_MatType, pyrUp, testing::Combine( |
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testing::Values(sz720p, szVGA, szQVGA, szODD), |
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testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_16SC1, CV_16SC3, CV_16SC4, CV_32FC1, CV_32FC3, CV_32FC4) |
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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 matType = get<1>(GetParam()); |
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const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5; |
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perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE; |
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Mat src(sz, matType); |
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Mat dst(sz.height*2, sz.width*2, matType); |
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declare.in(src, WARMUP_RNG).out(dst); |
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TEST_CYCLE() pyrUp(src, dst); |
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SANITY_CHECK(dst, eps, error_type); |
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} |
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PERF_TEST_P(Size_MatType, buildPyramid, testing::Combine( |
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testing::Values(sz1080p, sz720p, szVGA, szQVGA, szODD), |
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testing::Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4) |
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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 matType = get<1>(GetParam()); |
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int maxLevel = 5; |
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const double eps = CV_MAT_DEPTH(matType) <= CV_32S ? 1 : 1e-5; |
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perf::ERROR_TYPE error_type = CV_MAT_DEPTH(matType) <= CV_32S ? ERROR_ABSOLUTE : ERROR_RELATIVE; |
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Mat src(sz, matType); |
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std::vector<Mat> dst(maxLevel); |
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declare.in(src, WARMUP_RNG); |
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TEST_CYCLE() buildPyramid(src, dst, maxLevel); |
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Mat dst0 = dst[0], dst1 = dst[1], dst2 = dst[2], dst3 = dst[3], dst4 = dst[4]; |
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SANITY_CHECK(dst0, eps, error_type); |
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SANITY_CHECK(dst1, eps, error_type); |
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SANITY_CHECK(dst2, eps, error_type); |
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SANITY_CHECK(dst3, eps, error_type); |
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SANITY_CHECK(dst4, eps, error_type); |
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}
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