1 /*M/////////////////////////////////////////////////////////////////////////////////////// 2 // 3 // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. 4 // 5 // By downloading, copying, installing or using the software you agree to this license. 6 // If you do not agree to this license, do not download, install, 7 // copy or use the software. 8 // 9 // 10 // License Agreement 11 // For Open Source Computer Vision Library 12 // 13 // Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved. 14 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. 15 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. 16 // Third party copyrights are property of their respective owners. 17 // 18 // Redistribution and use in source and binary forms, with or without modification, 19 // are permitted provided that the following conditions are met: 20 // 21 // * Redistribution's of source code must retain the above copyright notice, 22 // this list of conditions and the following disclaimer. 23 // 24 // * Redistribution's in binary form must reproduce the above copyright notice, 25 // this list of conditions and the following disclaimer in the documentation 26 // and/or other materials provided with the distribution. 27 // 28 // * The name of the copyright holders may not be used to endorse or promote products 29 // derived from this software without specific prior written permission. 30 // 31 // This software is provided by the copyright holders and contributors "as is" and 32 // any express or implied warranties, including, but not limited to, the implied 33 // warranties of merchantability and fitness for a particular purpose are disclaimed. 34 // In no event shall the Intel Corporation or contributors be liable for any direct, 35 // indirect, incidental, special, exemplary, or consequential damages 36 // (including, but not limited to, procurement of substitute goods or services; 37 // loss of use, data, or profits; or business interruption) however caused 38 // and on any theory of liability, whether in contract, strict liability, 39 // or tort (including negligence or otherwise) arising in any way out of 40 // the use of this software, even if advised of the possibility of such damage. 41 // 42 //M*/ 43 44 #include "../test_precomp.hpp" 45 #include "opencv2/ts/ocl_test.hpp" 46 47 #ifdef HAVE_OPENCL 48 49 namespace cvtest { 50 namespace ocl { 51 52 ///////////////////////////////////////////////////////////////////////////////////////////////// 53 // Optical_flow_tvl1 54 namespace 55 { 56 IMPLEMENT_PARAM_CLASS(UseInitFlow, bool) 57 IMPLEMENT_PARAM_CLASS(MedianFiltering, int) 58 IMPLEMENT_PARAM_CLASS(ScaleStep, double) 59 } 60 61 PARAM_TEST_CASE(OpticalFlowTVL1, UseInitFlow, MedianFiltering, ScaleStep) 62 { 63 bool useInitFlow; 64 int medianFiltering; 65 double scaleStep; 66 virtual void SetUp() 67 { 68 useInitFlow = GET_PARAM(0); 69 medianFiltering = GET_PARAM(1); 70 scaleStep = GET_PARAM(2); 71 } 72 }; 73 74 OCL_TEST_P(OpticalFlowTVL1, Mat) 75 { 76 cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE); 77 ASSERT_FALSE(frame0.empty()); 78 79 cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE); 80 ASSERT_FALSE(frame1.empty()); 81 82 cv::Mat flow; cv::UMat uflow; 83 84 //create algorithm 85 cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1(); 86 87 //set parameters 88 alg->setScaleStep(scaleStep); 89 alg->setMedianFiltering(medianFiltering); 90 91 //create initial flow as result of algorithm calculation 92 if (useInitFlow) 93 { 94 OCL_ON(alg->calc(frame0, frame1, uflow)); 95 uflow.copyTo(flow); 96 } 97 98 //set flag to use initial flow as it is ready to use 99 alg->setUseInitialFlow(useInitFlow); 100 101 OCL_OFF(alg->calc(frame0, frame1, flow)); 102 OCL_ON(alg->calc(frame0, frame1, uflow)); 103 104 EXPECT_MAT_SIMILAR(flow, uflow, 1e-2); 105 } 106 107 OCL_INSTANTIATE_TEST_CASE_P(Video, OpticalFlowTVL1, 108 Combine( 109 Values(UseInitFlow(false), UseInitFlow(true)), 110 Values(MedianFiltering(3), MedianFiltering(-1)), 111 Values(ScaleStep(0.3),ScaleStep(0.5)) 112 ) 113 ); 114 115 } } // namespace cvtest::ocl 116 117 #endif // HAVE_OPENCL 118