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Open Source Computer Vision Library
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183 lines
5.6 KiB
183 lines
5.6 KiB
/*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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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::gpu; |
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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_GPU : public FrameSource |
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{ |
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public: |
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explicit OneFrameSource_GPU(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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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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if (flow1.kind() == cv::_InputArray::GPU_MAT) |
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flow1.getGpuMatRef().setTo(cv::Scalar::all(0)); |
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else |
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flow1.getMatRef().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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if (flow1.kind() == cv::_InputArray::GPU_MAT) |
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flow1.getGpuMatRef().setTo(cv::Scalar::all(0)); |
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else |
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flow1.getMatRef().setTo(cv::Scalar::all(0)); |
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if (flow2.kind() == cv::_InputArray::GPU_MAT) |
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flow2.getGpuMatRef().setTo(cv::Scalar::all(0)); |
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else |
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flow2.getMatRef().setTo(cv::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, |
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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_GPU()) |
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{ |
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Ptr<SuperResolution> superRes = createSuperResolution_BTVL1_GPU(); |
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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(new OneFrameSource_GPU(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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GPU_SANITY_CHECK(dst); |
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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(new 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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