198 lines
5.7 KiB
C++
198 lines
5.7 KiB
C++
/*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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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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