/*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, Institute Of Software Chinese Academy Of Science, all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Copyright (C) 2010-2012, Multicoreware, 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 "test_precomp.hpp" #include "opencv2/ts/ocl_test.hpp" #ifdef HAVE_OPENCL namespace cvtest { namespace ocl { ///////////////////////////////////////////////////////////////////////////////////////////////// // FarnebackOpticalFlow namespace { IMPLEMENT_PARAM_CLASS(PyrScale, double) IMPLEMENT_PARAM_CLASS(PolyN, int) CV_FLAGS(FarnebackOptFlowFlags, 0, OPTFLOW_FARNEBACK_GAUSSIAN) IMPLEMENT_PARAM_CLASS(UseInitFlow, bool) } PARAM_TEST_CASE(FarnebackOpticalFlow, PyrScale, PolyN, FarnebackOptFlowFlags, UseInitFlow) { int numLevels; int winSize; int numIters; double pyrScale; int polyN; int flags; bool useInitFlow; virtual void SetUp() { numLevels = 5; winSize = 13; numIters = 10; pyrScale = GET_PARAM(0); polyN = GET_PARAM(1); flags = GET_PARAM(2); useInitFlow = GET_PARAM(3); } }; OCL_TEST_P(FarnebackOpticalFlow, Mat) { cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame0.empty()); cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame1.empty()); double polySigma = polyN <= 5 ? 1.1 : 1.5; cv::Mat flow; cv::UMat uflow; if (useInitFlow) { OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags)); uflow.copyTo(flow); flags |= cv::OPTFLOW_USE_INITIAL_FLOW; } OCL_OFF(cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags)); OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags)); EXPECT_MAT_SIMILAR(flow, uflow, 0.1) } OCL_INSTANTIATE_TEST_CASE_P(Video, FarnebackOpticalFlow, Combine( Values(PyrScale(0.3), PyrScale(0.5), PyrScale(0.8)), Values(PolyN(5), PolyN(7)), Values(FarnebackOptFlowFlags(0), FarnebackOptFlowFlags(cv::OPTFLOW_FARNEBACK_GAUSSIAN)), Values(UseInitFlow(false), UseInitFlow(true)) ) ); } } // namespace cvtest::ocl #endif // HAVE_OPENCL