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Add ocl::gftt performance test.

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peng xiao 2013-07-15 16:27:27 +08:00
parent 886c009da6
commit e5c396bb24
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modules/ocl/perf/perf_gftt.cpp Normal file
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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.
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// * 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 oclMaterials 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.
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// This software is provided by the copyright holders and contributors as is and
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// 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 "precomp.hpp"
///////////// GoodFeaturesToTrack ////////////////////////
PERFTEST(GoodFeaturesToTrack)
{
using namespace cv;
int maxCorners = 2000;
double qualityLevel = 0.01;
std::string images[] = { "rubberwhale1.png", "aloeL.jpg" };
std::vector<cv::Point2f> pts_gold, pts_ocl;
for(int imgIdx = 0; imgIdx < sizeof(images)/sizeof(std::string); ++imgIdx)
{
Mat frame = imread(abspath(images[imgIdx]), IMREAD_GRAYSCALE);
CV_Assert(!frame.empty());
for(float minDistance = 0; minDistance < 4; minDistance += 3.0)
{
SUBTEST << "image = " << images[imgIdx] << "; ";
SUBTEST << "minDistance = " << minDistance << "; ";
cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);
CPU_ON;
cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance);
CPU_OFF;
cv::ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance);
ocl::oclMat frame_ocl(frame), pts_oclmat;
WARMUP_ON;
detector(frame_ocl, pts_oclmat);
WARMUP_OFF;
detector.downloadPoints(pts_oclmat, pts_ocl);
double diff = abs(static_cast<float>(pts_gold.size() - pts_ocl.size()));
TestSystem::instance().setAccurate(diff == 0.0, diff);
GPU_ON;
detector(frame_ocl, pts_oclmat);
GPU_OFF;
GPU_FULL_ON;
frame_ocl.upload(frame);
detector(frame_ocl, pts_oclmat);
detector.downloadPoints(pts_oclmat, pts_ocl);
GPU_FULL_OFF;
}
}
}