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Open Source Computer Vision Library
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198 lines
5.7 KiB
198 lines
5.7 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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#include "opencv2/ts/gpu_perf.hpp" |
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using namespace std; |
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using namespace testing; |
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using namespace perf; |
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////////////////////////////////////////////////////////////////////// |
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// SetTo |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_SetTo, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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GPU_CHANNELS_1_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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const int type = CV_MAKE_TYPE(depth, channels); |
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const cv::Scalar val(1, 2, 3, 4); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat dst(size, type); |
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TEST_CYCLE() dst.setTo(val); |
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GPU_SANITY_CHECK(dst); |
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} |
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else |
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{ |
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cv::Mat dst(size, type); |
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TEST_CYCLE() dst.setTo(val); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// SetToMasked |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_SetToMasked, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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GPU_CHANNELS_1_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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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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cv::Mat mask(size, CV_8UC1); |
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declare.in(src, mask, WARMUP_RNG); |
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const cv::Scalar val(1, 2, 3, 4); |
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if (PERF_RUN_GPU()) |
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{ |
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cv::gpu::GpuMat dst(src); |
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const cv::gpu::GpuMat d_mask(mask); |
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TEST_CYCLE() dst.setTo(val, d_mask); |
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GPU_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 = src; |
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TEST_CYCLE() dst.setTo(val, mask); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// CopyToMasked |
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PERF_TEST_P(Sz_Depth_Cn, MatOp_CopyToMasked, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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GPU_CHANNELS_1_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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const int type = CV_MAKE_TYPE(depth, channels); |
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cv::Mat src(size, type); |
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cv::Mat mask(size, CV_8UC1); |
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declare.in(src, mask, WARMUP_RNG); |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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const cv::gpu::GpuMat d_mask(mask); |
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cv::gpu::GpuMat dst(d_src.size(), d_src.type(), cv::Scalar::all(0)); |
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TEST_CYCLE() d_src.copyTo(dst, d_mask); |
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GPU_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(src.size(), src.type(), cv::Scalar::all(0)); |
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TEST_CYCLE() src.copyTo(dst, mask); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// ConvertTo |
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DEF_PARAM_TEST(Sz_2Depth, cv::Size, MatDepth, MatDepth); |
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PERF_TEST_P(Sz_2Depth, MatOp_ConvertTo, |
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Combine(GPU_TYPICAL_MAT_SIZES, |
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Values(CV_8U, CV_16U, CV_32F, CV_64F), |
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Values(CV_8U, CV_16U, CV_32F, CV_64F))) |
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{ |
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const cv::Size size = GET_PARAM(0); |
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const int depth1 = GET_PARAM(1); |
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const int depth2 = GET_PARAM(2); |
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cv::Mat src(size, depth1); |
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declare.in(src, WARMUP_RNG); |
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const double a = 0.5; |
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const double b = 1.0; |
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if (PERF_RUN_GPU()) |
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{ |
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const cv::gpu::GpuMat d_src(src); |
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cv::gpu::GpuMat dst; |
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TEST_CYCLE() d_src.convertTo(dst, depth2, a, b); |
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GPU_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() src.convertTo(dst, depth2, a, b); |
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CPU_SANITY_CHECK(dst); |
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} |
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}
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