113 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			113 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
/*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
 | 
						|
//    Fangfang Bai, fangfang@multicorewareinc.com
 | 
						|
//    Jin Ma,       jin@multicorewareinc.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
 | 
						|
//     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
 | 
						|
// the use of this software, even if advised of the possibility of such damage.
 | 
						|
//
 | 
						|
//M*/
 | 
						|
 | 
						|
#include "../perf_precomp.hpp"
 | 
						|
#include "opencv2/ts/ocl_perf.hpp"
 | 
						|
 | 
						|
using std::tr1::make_tuple;
 | 
						|
 | 
						|
#ifdef HAVE_OPENCL
 | 
						|
 | 
						|
namespace cvtest {
 | 
						|
namespace ocl {
 | 
						|
 | 
						|
///////////// OpticalFlow Dual TVL1 ////////////////////////
 | 
						|
typedef tuple< tuple<int, double>, bool> OpticalFlowDualTVL1Params;
 | 
						|
typedef TestBaseWithParam<OpticalFlowDualTVL1Params> OpticalFlowDualTVL1Fixture;
 | 
						|
 | 
						|
OCL_PERF_TEST_P(OpticalFlowDualTVL1Fixture, OpticalFlowDualTVL1,
 | 
						|
            ::testing::Combine(
 | 
						|
                        ::testing::Values(make_tuple<int, double>(-1, 0.3),
 | 
						|
                                          make_tuple<int, double>(3, 0.5)),
 | 
						|
                        ::testing::Bool()
 | 
						|
                                )
 | 
						|
            )
 | 
						|
    {
 | 
						|
        Mat frame0 = imread(getDataPath("cv/optflow/RubberWhale1.png"), cv::IMREAD_GRAYSCALE);
 | 
						|
        ASSERT_FALSE(frame0.empty()) << "can't load RubberWhale1.png";
 | 
						|
 | 
						|
        Mat frame1 = imread(getDataPath("cv/optflow/RubberWhale2.png"), cv::IMREAD_GRAYSCALE);
 | 
						|
        ASSERT_FALSE(frame1.empty()) << "can't load RubberWhale2.png";
 | 
						|
 | 
						|
        const Size srcSize = frame0.size();
 | 
						|
 | 
						|
        const OpticalFlowDualTVL1Params params = GetParam();
 | 
						|
        const tuple<int, double> filteringScale = get<0>(params);
 | 
						|
            const int medianFiltering = get<0>(filteringScale);
 | 
						|
            const double scaleStep = get<1>(filteringScale);
 | 
						|
        const bool useInitFlow = get<1>(params);
 | 
						|
        double eps = 0.9;
 | 
						|
 | 
						|
        UMat uFrame0; frame0.copyTo(uFrame0);
 | 
						|
        UMat uFrame1; frame1.copyTo(uFrame1);
 | 
						|
        UMat uFlow(srcSize, CV_32FC2);
 | 
						|
        declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ);
 | 
						|
 | 
						|
        //create algorithm
 | 
						|
        cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();
 | 
						|
 | 
						|
        //set parameters
 | 
						|
        alg->setScaleStep(scaleStep);
 | 
						|
        alg->setMedianFiltering(medianFiltering);
 | 
						|
 | 
						|
        if (useInitFlow)
 | 
						|
        {
 | 
						|
            //calculate initial flow as result of optical flow
 | 
						|
            alg->calc(uFrame0, uFrame1, uFlow);
 | 
						|
        }
 | 
						|
 | 
						|
        //set flag to use initial flow
 | 
						|
        alg->setUseInitialFlow(useInitFlow);
 | 
						|
        OCL_TEST_CYCLE()
 | 
						|
            alg->calc(uFrame0, uFrame1, uFlow);
 | 
						|
 | 
						|
        SANITY_CHECK(uFlow, eps, ERROR_RELATIVE);
 | 
						|
    }
 | 
						|
}
 | 
						|
} // namespace cvtest::ocl
 | 
						|
 | 
						|
#endif // HAVE_OPENCL
 |