/*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 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 std::tr1::make_tuple; #ifdef HAVE_OPENCL namespace cvtest { namespace ocl { ///////////// FarnebackOpticalFlow //////////////////////// CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN) typedef tuple< tuple<int, double>, farneFlagType, bool > FarnebackOpticalFlowParams; typedef TestBaseWithParam<FarnebackOpticalFlowParams> FarnebackOpticalFlowFixture; OCL_PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow, ::testing::Combine( ::testing::Values( make_tuple<int, double>(5, 1.1), make_tuple<int, double>(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 int numLevels = 5; const int winSize = 13; const int numIters = 10; const FarnebackOpticalFlowParams params = GetParam(); const tuple<int, double> polyParams = get<0>(params); const int polyN = get<0>(polyParams); const double polySigma = get<1>(polyParams); const double pyrScale = 0.5; int flags = get<1>(params); const bool useInitFlow = get<2>(params); const double eps = 0.1; UMat uFrame0; frame0.copyTo(uFrame0); UMat uFrame1; frame1.copyTo(uFrame1); UMat uFlow(srcSize, CV_32FC2); declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ); if (useInitFlow) { cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags); flags |= OPTFLOW_USE_INITIAL_FLOW; } OCL_TEST_CYCLE() cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags); SANITY_CHECK(uFlow, eps, ERROR_RELATIVE); } } } // namespace cvtest::ocl #endif // HAVE_OPENCL