96 lines
3.8 KiB
C++
96 lines
3.8 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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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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// @Authors
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// Peng Xiao, pengxiao@outlook.com
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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 perf;
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using std::tr1::tuple;
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using std::tr1::get;
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///////////// GoodFeaturesToTrack ////////////////////////
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typedef tuple<String, double, bool> GoodFeaturesToTrackParams;
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typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;
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OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
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::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
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OCL_PERF_ENUM(0.0, 3.0), testing::Bool()))
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{
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const GoodFeaturesToTrackParams params = GetParam();
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const String fileName = get<0>(params);
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const double minDistance = get<1>(params), qualityLevel = 0.01;
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const bool harrisDetector = get<2>(params);
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const int maxCorners = 1000;
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Mat frame = imread(getDataPath(fileName), IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame.empty()) << "no input image";
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vector<Point2f> pts_gold;
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declare.in(frame);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclFrame(frame), pts_oclmat;
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ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance, 3,
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harrisDetector);
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OCL_TEST_CYCLE() detector(oclFrame, pts_oclmat);
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detector.downloadPoints(pts_oclmat, pts_gold);
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SANITY_CHECK(pts_gold);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::goodFeaturesToTrack(frame, pts_gold,
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maxCorners, qualityLevel, minDistance, noArray(), 3, harrisDetector);
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SANITY_CHECK(pts_gold);
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}
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else
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OCL_PERF_ELSE
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}
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