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219 lines
6.3 KiB
C++
219 lines
6.3 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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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#include "opencv2/ts/ocl_perf.hpp"
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using namespace std;
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using namespace std::tr1;
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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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using namespace cv::cuda;
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namespace
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{
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class OneFrameSource_CPU : public FrameSource
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{
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public:
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explicit OneFrameSource_CPU(const Mat& frame) : frame_(frame) {}
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void nextFrame(OutputArray frame)
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{
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frame.getMatRef() = 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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Mat frame_;
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};
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class OneFrameSource_CUDA : public FrameSource
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{
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public:
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explicit OneFrameSource_CUDA(const GpuMat& frame) : frame_(frame) {}
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void nextFrame(OutputArray frame)
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{
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frame.getGpuMatRef() = 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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GpuMat frame_;
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};
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class ZeroOpticalFlow : public DenseOpticalFlowExt
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{
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public:
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virtual void calc(InputArray frame0, InputArray, OutputArray flow1, OutputArray flow2)
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{
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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(cv::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(cv::Scalar::all(0));
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flow2.setTo(cv::Scalar::all(0));
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}
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}
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virtual 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,
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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 = get<0>(GetParam());
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const int type = get<1>(GetParam());
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Mat frame(size, type);
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declare.in(frame, WARMUP_RNG);
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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> opticalFlow(new ZeroOpticalFlow);
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if (PERF_RUN_CUDA())
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{
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Ptr<SuperResolution> superRes = createSuperResolution_BTVL1_CUDA();
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superRes->set("scale", scale);
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superRes->set("iterations", iterations);
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superRes->set("temporalAreaRadius", temporalAreaRadius);
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superRes->set("opticalFlow", opticalFlow);
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superRes->setInput(makePtr<OneFrameSource_CUDA>(GpuMat(frame)));
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GpuMat dst;
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superRes->nextFrame(dst);
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TEST_CYCLE_N(10) superRes->nextFrame(dst);
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CUDA_SANITY_CHECK(dst, 2);
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}
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else
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{
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Ptr<SuperResolution> superRes = createSuperResolution_BTVL1();
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superRes->set("scale", scale);
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superRes->set("iterations", iterations);
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superRes->set("temporalAreaRadius", temporalAreaRadius);
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superRes->set("opticalFlow", opticalFlow);
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superRes->setInput(makePtr<OneFrameSource_CPU>(frame));
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Mat dst;
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superRes->nextFrame(dst);
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TEST_CYCLE_N(10) superRes->nextFrame(dst);
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CPU_SANITY_CHECK(dst);
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}
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}
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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typedef Size_MatType SuperResolution_BTVL1;
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OCL_PERF_TEST_P(SuperResolution_BTVL1 ,BTVL1,
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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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Size_MatType_t params = GetParam();
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const Size size = get<0>(params);
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const int type = get<1>(params);
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Mat frame(size, type);
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UMat dst(1, 1, 0);
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declare.in(frame, WARMUP_RNG);
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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> opticalFlow(new ZeroOpticalFlow);
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Ptr<SuperResolution> superRes = createSuperResolution_BTVL1();
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superRes->set("scale", scale);
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superRes->set("iterations", iterations);
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superRes->set("temporalAreaRadius", temporalAreaRadius);
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superRes->set("opticalFlow", opticalFlow);
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superRes->setInput(makePtr<OneFrameSource_CPU>(frame));
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// skip first frame
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superRes->nextFrame(dst);
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OCL_TEST_CYCLE_N(10) superRes->nextFrame(dst);
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SANITY_CHECK_NOTHING();
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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