144 lines
		
	
	
		
			4.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			144 lines
		
	
	
		
			4.6 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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// 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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#ifdef HAVE_OPENCV_OCL
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#include "opencv2/ocl/ocl.hpp"
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using namespace std;
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using namespace testing;
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using namespace perf;
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using namespace cv;
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using namespace cv::superres;
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namespace
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{
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    class OneFrameSource_OCL : public FrameSource
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    {
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    public:
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        explicit OneFrameSource_OCL(const ocl::oclMat& frame) : frame_(frame) {}
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        void nextFrame(OutputArray frame)
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        {
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            ocl::getOclMatRef(frame) = frame_;
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        }
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        void reset()
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        {
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        }
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    private:
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        ocl::oclMat frame_;
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    };
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    class ZeroOpticalFlowOCL : public DenseOpticalFlowExt
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    {
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    public:
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        void calc(InputArray frame0, InputArray, OutputArray flow1, OutputArray flow2)
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        {
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            ocl::oclMat& frame0_ = ocl::getOclMatRef(frame0);
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            ocl::oclMat& flow1_ = ocl::getOclMatRef(flow1);
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            ocl::oclMat& flow2_ = ocl::getOclMatRef(flow2);
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            cv::Size size = frame0_.size();
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            if(!flow2.needed())
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            {
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                flow1_.create(size, CV_32FC2);
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                flow1_.setTo(Scalar::all(0));
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            }
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            else
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            {
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                flow1_.create(size, CV_32FC1);
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                flow2_.create(size, CV_32FC1);
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                flow1_.setTo(Scalar::all(0));
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                flow2_.setTo(Scalar::all(0));
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            }
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        }
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        void collectGarbage()
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        {
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        }
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    };
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}
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PERF_TEST_P(Size_MatType, SuperResolution_BTVL1_OCL,
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    Combine(Values(szSmall64, szSmall128),
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    Values(MatType(CV_8UC1), MatType(CV_8UC3))))
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{
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    declare.time(5 * 60);
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    const Size size = std::tr1::get<0>(GetParam());
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    const int type = std::tr1::get<1>(GetParam());
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    Mat frame(size, type);
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    declare.in(frame, WARMUP_RNG);
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    ocl::oclMat frame_ocl;
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    frame_ocl.upload(frame);
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    const int scale = 2;
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    const int iterations = 50;
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    const int temporalAreaRadius = 1;
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    Ptr<DenseOpticalFlowExt> opticalFlowOcl(new ZeroOpticalFlowOCL);
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    Ptr<SuperResolution> superRes_ocl = createSuperResolution_BTVL1_OCL();
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    superRes_ocl->set("scale", scale);
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    superRes_ocl->set("iterations", iterations);
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    superRes_ocl->set("temporalAreaRadius", temporalAreaRadius);
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    superRes_ocl->set("opticalFlow", opticalFlowOcl);
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    superRes_ocl->setInput(new OneFrameSource_OCL(frame_ocl));
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    ocl::oclMat dst_ocl;
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    superRes_ocl->nextFrame(dst_ocl);
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    TEST_CYCLE_N(10) superRes_ocl->nextFrame(dst_ocl);
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    frame_ocl.release();
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    CPU_SANITY_CHECK(dst_ocl);
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}
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#endif
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