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Open Source Computer Vision Library
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272 lines
6.1 KiB
272 lines
6.1 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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#define TYPICAL_MAT_SIZES_CORE_ARITHM ::szVGA, ::sz720p, ::sz1080p |
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#define TYPICAL_MAT_TYPES_CORE_ARITHM CV_8UC1, CV_8SC1, CV_16SC1, CV_16SC2, CV_16SC3, CV_16SC4, CV_8UC4, CV_32SC1, CV_32FC1 |
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#define TYPICAL_MATS_CORE_ARITHM testing::Combine( testing::Values( TYPICAL_MAT_SIZES_CORE_ARITHM ), testing::Values( TYPICAL_MAT_TYPES_CORE_ARITHM ) ) |
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PERF_TEST_P(Size_MatType, min, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Mat b = Mat(sz, type); |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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TEST_CYCLE() min(a, b, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, minScalar, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Scalar b; |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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TEST_CYCLE() min(a, b, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, max, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Mat b = Mat(sz, type); |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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TEST_CYCLE() max(a, b, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, maxScalar, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Scalar b; |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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TEST_CYCLE() max(a, b, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, absdiff, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Mat b = Mat(sz, type); |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//see ticket 1529: absdiff can be without saturation on 32S |
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a /= 2; |
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b /= 2; |
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} |
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TEST_CYCLE() absdiff(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, absdiffScalar, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Scalar b; |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//see ticket 1529: absdiff can be without saturation on 32S |
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a /= 2; |
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b /= 2; |
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} |
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TEST_CYCLE() absdiff(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, add, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Mat b = Mat(sz, type); |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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declare.time(50); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//see ticket 1529: add can be without saturation on 32S |
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a /= 2; |
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b /= 2; |
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} |
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TEST_CYCLE() add(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, addScalar, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Scalar b; |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//see ticket 1529: add can be without saturation on 32S |
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a /= 2; |
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b /= 2; |
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} |
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TEST_CYCLE() add(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, subtract, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Mat b = Mat(sz, type); |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//see ticket 1529: subtract can be without saturation on 32S |
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a /= 2; |
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b /= 2; |
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} |
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TEST_CYCLE() subtract(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, subtractScalar, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a = Mat(sz, type); |
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cv::Scalar b; |
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cv::Mat c = Mat(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//see ticket 1529: subtract can be without saturation on 32S |
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a /= 2; |
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b /= 2; |
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} |
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TEST_CYCLE() subtract(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, multiply, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a(sz, type), b(sz, type), c(sz, type); |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//According to docs, saturation is not applied when result is 32bit integer |
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a /= (2 << 16); |
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b /= (2 << 16); |
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} |
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TEST_CYCLE() multiply(a, b, c); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, multiplyScale, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a(sz, type), b(sz, type), c(sz, type); |
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double scale = 0.5; |
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declare.in(a, b, WARMUP_RNG).out(c); |
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if (CV_MAT_DEPTH(type) == CV_32S) |
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{ |
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//According to docs, saturation is not applied when result is 32bit integer |
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a /= (2 << 16); |
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b /= (2 << 16); |
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} |
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TEST_CYCLE() multiply(a, b, c, scale); |
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SANITY_CHECK(c, 1e-8); |
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} |
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PERF_TEST_P(Size_MatType, divide, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat a(sz, type), b(sz, type), c(sz, type); |
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double scale = 0.5; |
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declare.in(a, b, WARMUP_RNG).out(c); |
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TEST_CYCLE() divide(a, b, c, scale); |
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SANITY_CHECK_NOTHING(); |
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} |
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PERF_TEST_P(Size_MatType, reciprocal, TYPICAL_MATS_CORE_ARITHM) |
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{ |
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Size sz = get<0>(GetParam()); |
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int type = get<1>(GetParam()); |
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cv::Mat b(sz, type), c(sz, type); |
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double scale = 0.5; |
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declare.in(b, WARMUP_RNG).out(c); |
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TEST_CYCLE() divide(scale, b, c); |
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SANITY_CHECK_NOTHING(); |
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}
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