/*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 { ///////////////////////////////////////////////////////////////////////////////////////////////// // PyrLKOpticalFlow PARAM_TEST_CASE(PyrLKOpticalFlow, int, int) { Size winSize; int maxLevel; TermCriteria criteria; int flags; double minEigThreshold; virtual void SetUp() { winSize = Size(GET_PARAM(0), GET_PARAM(0)); maxLevel = GET_PARAM(1); criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01); flags = 0; minEigThreshold = 1e-4f; } }; OCL_TEST_P(PyrLKOpticalFlow, Mat) { static const int npoints = 1000; static const float eps = 0.03f; static const float erreps = 0.1f; cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame0.empty()); UMat umatFrame0; frame0.copyTo(umatFrame0); cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame1.empty()); UMat umatFrame1; frame1.copyTo(umatFrame1); std::vector pts; cv::goodFeaturesToTrack(frame0, pts, npoints, 0.01, 0.0); std::vector cpuNextPts; std::vector cpuStatusCPU; std::vector cpuErr; OCL_OFF(cv::calcOpticalFlowPyrLK(frame0, frame1, pts, cpuNextPts, cpuStatusCPU, cpuErr, winSize, maxLevel, criteria, flags, minEigThreshold)); UMat umatNextPts, umatStatus, umatErr; OCL_ON(cv::calcOpticalFlowPyrLK(umatFrame0, umatFrame1, pts, umatNextPts, umatStatus, umatErr, winSize, maxLevel, criteria, flags, minEigThreshold)); std::vector nextPts; umatNextPts.reshape(2, 1).copyTo(nextPts); std::vector status; umatStatus.reshape(1, 1).copyTo(status); std::vector err; umatErr.reshape(1, 1).copyTo(err); ASSERT_EQ(cpuNextPts.size(), nextPts.size()); ASSERT_EQ(cpuStatusCPU.size(), status.size()); size_t mistmatch = 0; size_t errmatch = 0; for (size_t i = 0; i < nextPts.size(); ++i) { if (status[i] != cpuStatusCPU[i]) { ++mistmatch; continue; } if (status[i]) { cv::Point2i a = nextPts[i]; cv::Point2i b = cpuNextPts[i]; bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1; float errdiff = 0.0f; if (!eq || errdiff > 1e-1) { ++mistmatch; continue; } eq = std::abs(cpuErr[i] - err[i]) < 0.01; if(!eq) ++errmatch; } } double bad_ratio = static_cast(mistmatch) / (nextPts.size()); double err_ratio = static_cast(errmatch) / (nextPts.size()); ASSERT_LE(bad_ratio, eps); ASSERT_LE(err_ratio, erreps); } OCL_INSTANTIATE_TEST_CASE_P(Video, PyrLKOpticalFlow, Combine( Values(11, 15, 21, 25), Values(3, 5) ) ); } } // namespace cvtest::ocl #endif // HAVE_OPENCL