mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 17:59:13 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
153 lines
4.4 KiB
C++
153 lines
4.4 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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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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