opencv/modules/ocl/perf/perf_gftt.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// 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) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Peng Xiao, pengxiao@outlook.com
//
// 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
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// and/or other materials provided with the distribution.
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//
// * The name of the copyright holders may not be used to endorse or promote products
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// This software is provided by the copyright holders and contributors as is and
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//M*/
#include "perf_precomp.hpp"
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using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
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///////////// GoodFeaturesToTrack ////////////////////////
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typedef tuple<string, double> GoodFeaturesToTrackParams;
typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;
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PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
::testing::Combine(::testing::Values(string("gpu/opticalflow/rubberwhale1.png"),
string("gpu/stereobm/aloe-L.png")),
::testing::Range(0.0, 4.0, 3.0)))
{
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const GoodFeaturesToTrackParams param = GetParam();
const string fileName = getDataPath(get<0>(param));
const int maxCorners = 2000;
const double qualityLevel = 0.01, minDistance = get<1>(param);
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Mat frame = imread(fileName, IMREAD_GRAYSCALE);
ASSERT_TRUE(!frame.empty()) << "no input image";
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vector<Point2f> pts_gold;
declare.in(frame);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclFrame(frame), pts_oclmat;
ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance);
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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);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::goodFeaturesToTrack(frame, pts_gold,
maxCorners, qualityLevel, minDistance);
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SANITY_CHECK(pts_gold);
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}
else
OCL_PERF_ELSE
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}