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Open Source Computer Vision Library
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75 lines
1.8 KiB
75 lines
1.8 KiB
#include "perf_precomp.hpp" |
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namespace opencv_test |
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{ |
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using namespace perf; |
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#define TYPICAL_MAT_SIZES_BITW_ARITHM TYPICAL_MAT_SIZES |
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#define TYPICAL_MAT_TYPES_BITW_ARITHM CV_8UC1, CV_8SC1, CV_8UC4, CV_32SC1, CV_32SC4 |
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#define TYPICAL_MATS_BITW_ARITHM testing::Combine(testing::Values(TYPICAL_MAT_SIZES_BITW_ARITHM), testing::Values(TYPICAL_MAT_TYPES_BITW_ARITHM)) |
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PERF_TEST_P(Size_MatType, bitwise_not, TYPICAL_MATS_BITW_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 c = Mat(sz, type); |
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declare.in(a, WARMUP_RNG).out(c); |
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declare.iterations(200); |
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TEST_CYCLE() cv::bitwise_not(a, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, bitwise_and, TYPICAL_MATS_BITW_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(100); |
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TEST_CYCLE() bitwise_and(a, b, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, bitwise_or, TYPICAL_MATS_BITW_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(100); |
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TEST_CYCLE() bitwise_or(a, b, c); |
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SANITY_CHECK(c); |
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} |
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PERF_TEST_P(Size_MatType, bitwise_xor, TYPICAL_MATS_BITW_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(100); |
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TEST_CYCLE() bitwise_xor(a, b, c); |
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SANITY_CHECK(c); |
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} |
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} // namespace
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