/*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 oclMaterials 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" ///////////// PyrLKOpticalFlow //////////////////////// using namespace perf; using std::tr1::get; using std::tr1::tuple; using std::tr1::make_tuple; template static vector & MatToVector(const ocl::oclMat & oclSrc, vector & instance) { Mat src; oclSrc.download(src); for (int i = 0; i < src.cols; ++i) instance.push_back(src.at(0, i)); return instance; } CV_ENUM(LoadMode, IMREAD_GRAYSCALE, IMREAD_COLOR) typedef tuple > PyrLKOpticalFlowParamType; typedef TestBaseWithParam PyrLKOpticalFlowFixture; PERF_TEST_P(PyrLKOpticalFlowFixture, DISABLED_PyrLKOpticalFlow, ::testing::Combine( ::testing::Values(1000, 2000, 4000), ::testing::Values( make_tuple ( string("gpu/opticalflow/rubberwhale1.png"), string("gpu/opticalflow/rubberwhale2.png"), LoadMode(IMREAD_COLOR) ) , make_tuple ( string("gpu/stereobm/aloe-L.png"), string("gpu/stereobm/aloe-R.png"), LoadMode(IMREAD_GRAYSCALE) ) ) ) ) // TODO to big difference between implementations { PyrLKOpticalFlowParamType params = GetParam(); tuple fileParam = get<1>(params); const int pointsCount = get<0>(params); const int openMode = static_cast(get<2>(fileParam)); const string fileName0 = get<0>(fileParam), fileName1 = get<1>(fileParam); Mat frame0 = imread(getDataPath(fileName0), openMode); Mat frame1 = imread(getDataPath(fileName1), openMode); ASSERT_FALSE(frame0.empty()) << "can't load " << fileName0; ASSERT_FALSE(frame1.empty()) << "can't load " << fileName1; Mat grayFrame; if (openMode == IMREAD_COLOR) cvtColor(frame0, grayFrame, COLOR_BGR2GRAY); else grayFrame = frame0; vector pts, nextPts; vector status; vector err; goodFeaturesToTrack(grayFrame, pts, pointsCount, 0.01, 0.0); if (RUN_PLAIN_IMPL) { TEST_CYCLE() cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err); SANITY_CHECK(nextPts); SANITY_CHECK(status); SANITY_CHECK(err); } else if (RUN_OCL_IMPL) { ocl::PyrLKOpticalFlow oclPyrLK; ocl::oclMat oclFrame0(frame0), oclFrame1(frame1); ocl::oclMat oclPts(1, static_cast(pts.size()), CV_32FC2, (void *)&pts[0]); ocl::oclMat oclNextPts, oclStatus, oclErr; TEST_CYCLE() oclPyrLK.sparse(oclFrame0, oclFrame1, oclPts, oclNextPts, oclStatus, &oclErr); MatToVector(oclNextPts, nextPts); MatToVector(oclStatus, status); MatToVector(oclErr, err); SANITY_CHECK(nextPts); SANITY_CHECK(status); SANITY_CHECK(err); } else OCL_PERF_ELSE } PERF_TEST(tvl1flowFixture, tvl1flow) { Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png"; Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png"; const Size srcSize = frame0.size(); const double eps = 1.2; Mat flow(srcSize, CV_32FC2), flow1(srcSize, CV_32FC1), flow2(srcSize, CV_32FC1); declare.in(frame0, frame1).out(flow1, flow2).time(159); if (RUN_PLAIN_IMPL) { Ptr alg = createOptFlow_DualTVL1(); TEST_CYCLE() alg->calc(frame0, frame1, flow); alg->collectGarbage(); Mat flows[2] = { flow1, flow2 }; split(flow, flows); SANITY_CHECK(flow1, eps); SANITY_CHECK(flow2, eps); } else if (RUN_OCL_IMPL) { ocl::OpticalFlowDual_TVL1_OCL oclAlg; ocl::oclMat oclFrame0(frame0), oclFrame1(frame1), oclFlow1(srcSize, CV_32FC1), oclFlow2(srcSize, CV_32FC1); TEST_CYCLE() oclAlg(oclFrame0, oclFrame1, oclFlow1, oclFlow2); oclAlg.collectGarbage(); oclFlow1.download(flow1); oclFlow2.download(flow2); SANITY_CHECK(flow1, eps); SANITY_CHECK(flow2, eps); } else OCL_PERF_ELSE } ///////////// FarnebackOpticalFlow //////////////////////// CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN) typedef tuple, farneFlagType, bool> FarnebackOpticalFlowParams; typedef TestBaseWithParam FarnebackOpticalFlowFixture; PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow, ::testing::Combine( ::testing::Values(make_tuple(5, 1.1), make_tuple(7, 1.5)), farneFlagType::all(), ::testing::Bool())) { Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png"; Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png"; const Size srcSize = frame0.size(); const FarnebackOpticalFlowParams params = GetParam(); const tuple polyParams = get<0>(params); const int polyN = get<0>(polyParams), flags = get<1>(params); const double polySigma = get<1>(polyParams), pyrScale = 0.5; const bool useInitFlow = get<2>(params); const double eps = 1.5; Mat flowx(srcSize, CV_32FC1), flowy(srcSize, CV_32FC1), flow(srcSize, CV_32FC2); declare.in(frame0, frame1).out(flowx, flowy); ocl::FarnebackOpticalFlow farn; farn.pyrScale = pyrScale; farn.polyN = polyN; farn.polySigma = polySigma; farn.flags = flags; if (RUN_PLAIN_IMPL) { if (useInitFlow) { calcOpticalFlowFarneback( frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize, farn.numIters, farn.polyN, farn.polySigma, farn.flags); farn.flags |= OPTFLOW_USE_INITIAL_FLOW; } TEST_CYCLE() calcOpticalFlowFarneback( frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize, farn.numIters, farn.polyN, farn.polySigma, farn.flags); Mat flowxy[2] = { flowx, flowy }; split(flow, flowxy); SANITY_CHECK(flowx, eps); SANITY_CHECK(flowy, eps); } else if (RUN_OCL_IMPL) { ocl::oclMat oclFrame0(frame0), oclFrame1(frame1), oclFlowx(srcSize, CV_32FC1), oclFlowy(srcSize, CV_32FC1); if (useInitFlow) { farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy); farn.flags |= OPTFLOW_USE_INITIAL_FLOW; } TEST_CYCLE() farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy); oclFlowx.download(flowx); oclFlowy.download(flowy); SANITY_CHECK(flowx, eps); SANITY_CHECK(flowy, eps); } else OCL_PERF_ELSE }