opencv/modules/cudaimgproc/perf/perf_mean_shift.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
// 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.
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// 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
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//
//M*/
#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
using namespace perf;
//////////////////////////////////////////////////////////////////////
// MeanShiftFiltering
DEF_PARAM_TEST_1(Image, string);
PERF_TEST_P(Image, MeanShiftFiltering,
Values<string>("gpu/meanshift/cones.png"))
{
declare.time(300.0);
const cv::Mat img = readImage(GetParam());
ASSERT_FALSE(img.empty());
cv::Mat rgba;
cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA);
const int sp = 50;
const int sr = 50;
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if (PERF_RUN_CUDA())
{
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const cv::cuda::GpuMat d_src(rgba);
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);
}
else
{
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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//////////////////////////////////////////////////////////////////////
// MeanShiftProc
PERF_TEST_P(Image, MeanShiftProc,
Values<string>("gpu/meanshift/cones.png"))
{
declare.time(300.0);
const cv::Mat img = readImage(GetParam());
ASSERT_FALSE(img.empty());
cv::Mat rgba;
cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA);
const int sp = 50;
const int sr = 50;
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if (PERF_RUN_CUDA())
{
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const cv::cuda::GpuMat d_src(rgba);
cv::cuda::GpuMat dstr;
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);
CUDA_SANITY_CHECK(dstsp);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// MeanShiftSegmentation
PERF_TEST_P(Image, MeanShiftSegmentation,
Values<string>("gpu/meanshift/cones.png"))
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{
declare.time(300.0);
const cv::Mat img = readImage(GetParam());
ASSERT_FALSE(img.empty());
cv::Mat rgba;
cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA);
const int sp = 10;
const int sr = 10;
const int minsize = 20;
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if (PERF_RUN_CUDA())
{
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const cv::cuda::GpuMat d_src(rgba);
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);
}
else
{
FAIL_NO_CPU();
}
}