/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "perf_precomp.hpp" #include "opencv2/ts/gpu_perf.hpp" using namespace std; using namespace testing; using namespace perf; ////////////////////////////////////////////////////////////////////// // SetTo PERF_TEST_P(Sz_Depth_Cn, MatOp_SetTo, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), GPU_CHANNELS_1_3_4)) { const cv::Size size = GET_PARAM(0); const int depth = GET_PARAM(1); const int channels = GET_PARAM(2); const int type = CV_MAKE_TYPE(depth, channels); const cv::Scalar val(1, 2, 3, 4); if (PERF_RUN_GPU()) { cv::gpu::GpuMat dst(size, type); TEST_CYCLE() dst.setTo(val); GPU_SANITY_CHECK(dst); } else { cv::Mat dst(size, type); TEST_CYCLE() dst.setTo(val); CPU_SANITY_CHECK(dst); } } ////////////////////////////////////////////////////////////////////// // SetToMasked PERF_TEST_P(Sz_Depth_Cn, MatOp_SetToMasked, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), GPU_CHANNELS_1_3_4)) { const cv::Size size = GET_PARAM(0); const int depth = GET_PARAM(1); const int channels = GET_PARAM(2); const int type = CV_MAKE_TYPE(depth, channels); cv::Mat src(size, type); cv::Mat mask(size, CV_8UC1); declare.in(src, mask, WARMUP_RNG); const cv::Scalar val(1, 2, 3, 4); if (PERF_RUN_GPU()) { cv::gpu::GpuMat dst(src); const cv::gpu::GpuMat d_mask(mask); TEST_CYCLE() dst.setTo(val, d_mask); GPU_SANITY_CHECK(dst, 1e-10); } else { cv::Mat dst = src; TEST_CYCLE() dst.setTo(val, mask); CPU_SANITY_CHECK(dst); } } ////////////////////////////////////////////////////////////////////// // CopyToMasked PERF_TEST_P(Sz_Depth_Cn, MatOp_CopyToMasked, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), GPU_CHANNELS_1_3_4)) { const cv::Size size = GET_PARAM(0); const int depth = GET_PARAM(1); const int channels = GET_PARAM(2); const int type = CV_MAKE_TYPE(depth, channels); cv::Mat src(size, type); cv::Mat mask(size, CV_8UC1); declare.in(src, mask, WARMUP_RNG); if (PERF_RUN_GPU()) { const cv::gpu::GpuMat d_src(src); const cv::gpu::GpuMat d_mask(mask); cv::gpu::GpuMat dst(d_src.size(), d_src.type(), cv::Scalar::all(0)); TEST_CYCLE() d_src.copyTo(dst, d_mask); GPU_SANITY_CHECK(dst, 1e-10); } else { cv::Mat dst(src.size(), src.type(), cv::Scalar::all(0)); TEST_CYCLE() src.copyTo(dst, mask); CPU_SANITY_CHECK(dst); } } ////////////////////////////////////////////////////////////////////// // ConvertTo DEF_PARAM_TEST(Sz_2Depth, cv::Size, MatDepth, MatDepth); PERF_TEST_P(Sz_2Depth, MatOp_ConvertTo, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F, CV_64F), Values(CV_8U, CV_16U, CV_32F, CV_64F))) { const cv::Size size = GET_PARAM(0); const int depth1 = GET_PARAM(1); const int depth2 = GET_PARAM(2); cv::Mat src(size, depth1); declare.in(src, WARMUP_RNG); const double a = 0.5; const double b = 1.0; if (PERF_RUN_GPU()) { const cv::gpu::GpuMat d_src(src); cv::gpu::GpuMat dst; TEST_CYCLE() d_src.convertTo(dst, depth2, a, b); GPU_SANITY_CHECK(dst, 1e-10); } else { cv::Mat dst; TEST_CYCLE() src.convertTo(dst, depth2, a, b); CPU_SANITY_CHECK(dst); } }