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Open Source Computer Vision Library
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323 lines
8.6 KiB
323 lines
8.6 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "perf_precomp.hpp" |
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namespace opencv_test { namespace { |
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#define ARITHM_MAT_DEPTH Values(CV_8U, CV_16U, CV_32F, CV_64F) |
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////////////////////////////////////////////////////////////////////// |
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// Merge |
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DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, MatDepth, MatCn); |
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PERF_TEST_P(Sz_Depth_Cn, Merge, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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ARITHM_MAT_DEPTH, |
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Values(2, 3, 4))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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std::vector<cv::Mat> src(channels); |
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for (int i = 0; i < channels; ++i) |
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{ |
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src[i].create(size, depth); |
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declare.in(src[i], WARMUP_RNG); |
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} |
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if (PERF_RUN_CUDA()) |
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{ |
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std::vector<cv::cuda::GpuMat> d_src(channels); |
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for (int i = 0; i < channels; ++i) |
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d_src[i].upload(src[i]); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() cv::cuda::merge(d_src, dst); |
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CUDA_SANITY_CHECK(dst, 1e-10); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::merge(src, dst); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// Split |
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PERF_TEST_P(Sz_Depth_Cn, Split, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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ARITHM_MAT_DEPTH, |
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Values(2, 3, 4))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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cv::Mat src(size, CV_MAKE_TYPE(depth, channels)); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(src); |
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std::vector<cv::cuda::GpuMat> dst; |
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TEST_CYCLE() cv::cuda::split(d_src, dst); |
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const cv::cuda::GpuMat& dst0 = dst[0]; |
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const cv::cuda::GpuMat& dst1 = dst[1]; |
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CUDA_SANITY_CHECK(dst0, 1e-10); |
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CUDA_SANITY_CHECK(dst1, 1e-10); |
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} |
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else |
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{ |
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std::vector<cv::Mat> dst; |
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TEST_CYCLE() cv::split(src, dst); |
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const cv::Mat& dst0 = dst[0]; |
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const cv::Mat& dst1 = dst[1]; |
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CPU_SANITY_CHECK(dst0); |
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CPU_SANITY_CHECK(dst1); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// Transpose |
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PERF_TEST_P(Sz_Type, Transpose, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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Values(CV_8UC1, CV_8UC4, CV_16UC2, CV_16SC2, CV_32SC1, CV_32SC2, CV_64FC1))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int type = GET_PARAM(1); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(src); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() cv::cuda::transpose(d_src, dst); |
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CUDA_SANITY_CHECK(dst, 1e-10); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::transpose(src, dst); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// Flip |
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enum {FLIP_BOTH = 0, FLIP_X = 1, FLIP_Y = -1}; |
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CV_ENUM(FlipCode, FLIP_BOTH, FLIP_X, FLIP_Y) |
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DEF_PARAM_TEST(Sz_Depth_Cn_Code, cv::Size, MatDepth, MatCn, FlipCode); |
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PERF_TEST_P(Sz_Depth_Cn_Code, Flip, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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CUDA_CHANNELS_1_3_4, |
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FlipCode::all())) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int flipCode = GET_PARAM(3); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(src); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() cv::cuda::flip(d_src, dst, flipCode); |
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CUDA_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::flip(src, dst, flipCode); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// LutOneChannel |
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PERF_TEST_P(Sz_Type, LutOneChannel, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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Values(CV_8UC1, CV_8UC3))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int type = GET_PARAM(1); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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cv::Mat lut(1, 256, CV_8UC1); |
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declare.in(lut, WARMUP_RNG); |
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if (PERF_RUN_CUDA()) |
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{ |
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cv::Ptr<cv::cuda::LookUpTable> lutAlg = cv::cuda::createLookUpTable(lut); |
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const cv::cuda::GpuMat d_src(src); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() lutAlg->transform(d_src, dst); |
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CUDA_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::LUT(src, lut, dst); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// LutMultiChannel |
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PERF_TEST_P(Sz_Type, LutMultiChannel, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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Values<MatType>(CV_8UC3))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int type = GET_PARAM(1); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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cv::Mat lut(1, 256, CV_MAKE_TYPE(CV_8U, src.channels())); |
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declare.in(lut, WARMUP_RNG); |
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if (PERF_RUN_CUDA()) |
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{ |
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cv::Ptr<cv::cuda::LookUpTable> lutAlg = cv::cuda::createLookUpTable(lut); |
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const cv::cuda::GpuMat d_src(src); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() lutAlg->transform(d_src, dst); |
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CUDA_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::LUT(src, lut, dst); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// CopyMakeBorder |
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DEF_PARAM_TEST(Sz_Depth_Cn_Border, cv::Size, MatDepth, MatCn, BorderMode); |
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PERF_TEST_P(Sz_Depth_Cn_Border, CopyMakeBorder, |
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Combine(CUDA_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F), |
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CUDA_CHANNELS_1_3_4, |
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ALL_BORDER_MODES)) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth = GET_PARAM(1); |
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const int channels = GET_PARAM(2); |
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const int borderMode = GET_PARAM(3); |
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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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declare.in(src, WARMUP_RNG); |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(src); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() cv::cuda::copyMakeBorder(d_src, dst, 5, 5, 5, 5, borderMode); |
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CUDA_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst; |
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TEST_CYCLE() cv::copyMakeBorder(src, dst, 5, 5, 5, 5, borderMode); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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}} // namespace
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