/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // 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 namespace std; using namespace std::tr1; using namespace testing; using namespace perf; using namespace cv; using namespace cv::superres; using namespace cv::cuda; namespace { class OneFrameSource_CPU : public FrameSource { public: explicit OneFrameSource_CPU(const Mat& frame) : frame_(frame) {} void nextFrame(OutputArray frame) { frame.getMatRef() = frame_; } void reset() { } private: Mat frame_; }; class OneFrameSource_CUDA : public FrameSource { public: explicit OneFrameSource_CUDA(const GpuMat& frame) : frame_(frame) {} void nextFrame(OutputArray frame) { frame.getGpuMatRef() = frame_; } void reset() { } private: GpuMat frame_; }; class ZeroOpticalFlow : public DenseOpticalFlowExt { public: virtual void calc(InputArray frame0, InputArray, OutputArray flow1, OutputArray flow2) { cv::Size size = frame0.size(); if (!flow2.needed()) { flow1.create(size, CV_32FC2); flow1.setTo(cv::Scalar::all(0)); } else { flow1.create(size, CV_32FC1); flow2.create(size, CV_32FC1); flow1.setTo(cv::Scalar::all(0)); flow2.setTo(cv::Scalar::all(0)); } } virtual void collectGarbage() { } }; } PERF_TEST_P(Size_MatType, SuperResolution_BTVL1, Combine(Values(szSmall64, szSmall128), Values(MatType(CV_8UC1), MatType(CV_8UC3)))) { declare.time(5 * 60); const Size size = get<0>(GetParam()); const int type = get<1>(GetParam()); Mat frame(size, type); declare.in(frame, WARMUP_RNG); const int scale = 2; const int iterations = 50; const int temporalAreaRadius = 1; Ptr<DenseOpticalFlowExt> opticalFlow(new ZeroOpticalFlow); if (PERF_RUN_CUDA()) { Ptr<SuperResolution> superRes = createSuperResolution_BTVL1_CUDA(); superRes->setScale(scale); superRes->setIterations(iterations); superRes->setTemporalAreaRadius(temporalAreaRadius); superRes->setOpticalFlow(opticalFlow); superRes->setInput(makePtr<OneFrameSource_CUDA>(GpuMat(frame))); GpuMat dst; superRes->nextFrame(dst); TEST_CYCLE_N(10) superRes->nextFrame(dst); CUDA_SANITY_CHECK(dst, 2); } else { Ptr<SuperResolution> superRes = createSuperResolution_BTVL1(); superRes->setScale(scale); superRes->setIterations(iterations); superRes->setTemporalAreaRadius(temporalAreaRadius); superRes->setOpticalFlow(opticalFlow); superRes->setInput(makePtr<OneFrameSource_CPU>(frame)); Mat dst; superRes->nextFrame(dst); TEST_CYCLE_N(10) superRes->nextFrame(dst); CPU_SANITY_CHECK(dst); } } #ifdef HAVE_OPENCL namespace cvtest { namespace ocl { typedef Size_MatType SuperResolution_BTVL1; OCL_PERF_TEST_P(SuperResolution_BTVL1 ,BTVL1, Combine(Values(szSmall64, szSmall128), Values(MatType(CV_8UC1), MatType(CV_8UC3)))) { Size_MatType_t params = GetParam(); const Size size = get<0>(params); const int type = get<1>(params); Mat frame(size, type); UMat dst(1, 1, 0); declare.in(frame, WARMUP_RNG); const int scale = 2; const int iterations = 50; const int temporalAreaRadius = 1; Ptr<DenseOpticalFlowExt> opticalFlow(new ZeroOpticalFlow); Ptr<SuperResolution> superRes = createSuperResolution_BTVL1(); superRes->setScale(scale); superRes->setIterations(iterations); superRes->setTemporalAreaRadius(temporalAreaRadius); superRes->setOpticalFlow(opticalFlow); superRes->setInput(makePtr<OneFrameSource_CPU>(frame)); // skip first frame superRes->nextFrame(dst); OCL_TEST_CYCLE_N(10) superRes->nextFrame(dst); SANITY_CHECK_NOTHING(); } } } // namespace cvtest::ocl #endif // HAVE_OPENCL