117 lines
4.7 KiB
C++
117 lines
4.7 KiB
C++
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///////////////////////////////////////////////////////////////////////////////////////
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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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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, 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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//
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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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#include "opencv2/ts/ocl_perf.hpp"
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#include <sstream>
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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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), Bool()))
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{
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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 img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty()) << "could not load " << fileName;
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checkDeviceMaxMemoryAllocSize(img.size(), img.type());
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UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
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img.copyTo(src);
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declare.in(src, WARMUP_READ).out(dst);
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OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel,
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minDistance, noArray(), 3, 3, harrisDetector, 0.04);
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SANITY_CHECK(dst);
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}
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OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrackWithQuality,
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::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
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OCL_PERF_ENUM(3.0), Bool()))
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{
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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 img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty()) << "could not load " << fileName;
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checkDeviceMaxMemoryAllocSize(img.size(), img.type());
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UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
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img.copyTo(src);
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std::vector<float> cornersQuality;
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declare.in(src, WARMUP_READ).out(dst);
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OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel, minDistance,
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noArray(), cornersQuality, 3, 3, harrisDetector, 0.04);
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SANITY_CHECK(dst);
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SANITY_CHECK(cornersQuality, 1e-6);
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}
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} } // namespace opencv_test::ocl
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#endif
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