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Open Source Computer Vision Library
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152 lines
4.4 KiB
152 lines
4.4 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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////////////////////////////////////////////////////////////////////// |
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// MeanShiftFiltering |
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DEF_PARAM_TEST_1(Image, string); |
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PERF_TEST_P(Image, MeanShiftFiltering, |
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Values<string>("gpu/meanshift/cones.png")) |
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{ |
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declare.time(300.0); |
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const cv::Mat img = readImage(GetParam()); |
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ASSERT_FALSE(img.empty()); |
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cv::Mat rgba; |
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cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); |
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const int sp = 50; |
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const int sr = 50; |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(rgba); |
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cv::cuda::GpuMat dst; |
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TEST_CYCLE() cv::cuda::meanShiftFiltering(d_src, dst, sp, sr); |
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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::pyrMeanShiftFiltering(img, dst, sp, sr); |
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CPU_SANITY_CHECK(dst); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// MeanShiftProc |
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PERF_TEST_P(Image, MeanShiftProc, |
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Values<string>("gpu/meanshift/cones.png")) |
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{ |
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declare.time(300.0); |
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const cv::Mat img = readImage(GetParam()); |
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ASSERT_FALSE(img.empty()); |
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cv::Mat rgba; |
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cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); |
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const int sp = 50; |
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const int sr = 50; |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(rgba); |
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cv::cuda::GpuMat dstr; |
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cv::cuda::GpuMat dstsp; |
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TEST_CYCLE() cv::cuda::meanShiftProc(d_src, dstr, dstsp, sp, sr); |
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CUDA_SANITY_CHECK(dstr); |
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CUDA_SANITY_CHECK(dstsp); |
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} |
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else |
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{ |
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FAIL_NO_CPU(); |
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} |
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} |
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////////////////////////////////////////////////////////////////////// |
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// MeanShiftSegmentation |
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PERF_TEST_P(Image, MeanShiftSegmentation, |
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Values<string>("gpu/meanshift/cones.png")) |
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{ |
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declare.time(300.0); |
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const cv::Mat img = readImage(GetParam()); |
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ASSERT_FALSE(img.empty()); |
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cv::Mat rgba; |
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cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA); |
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const int sp = 10; |
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const int sr = 10; |
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const int minsize = 20; |
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if (PERF_RUN_CUDA()) |
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{ |
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const cv::cuda::GpuMat d_src(rgba); |
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cv::Mat dst; |
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TEST_CYCLE() cv::cuda::meanShiftSegmentation(d_src, dst, sp, sr, minsize); |
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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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FAIL_NO_CPU(); |
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} |
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} |
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}} // namespace
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