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226 lines
8.0 KiB
226 lines
8.0 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// @Authors |
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// Fangfang Bai, fangfang@multicorewareinc.com |
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// Jin Ma, jin@multicorewareinc.com |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors as is and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "perf_precomp.hpp" |
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///////////// PyrLKOpticalFlow //////////////////////// |
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using namespace perf; |
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using std::tr1::get; |
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using std::tr1::tuple; |
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using std::tr1::make_tuple; |
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typedef TestBaseWithParam<tuple<int> > PyrLKOpticalFlowFixture; |
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OCL_PERF_TEST_P(PyrLKOpticalFlowFixture, |
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PyrLKOpticalFlow, ::testing::Values(1000, 2000, 4000)) |
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{ |
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const int pointsCount = get<0>(GetParam()); |
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const string fileName0 = "gpu/opticalflow/rubberwhale1.png", |
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fileName1 = "gpu/opticalflow/rubberwhale2.png"; |
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Mat frame0 = imread(getDataPath(fileName0), cv::IMREAD_GRAYSCALE); |
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Mat frame1 = imread(getDataPath(fileName1), cv::IMREAD_GRAYSCALE); |
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declare.in(frame0, frame1); |
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ASSERT_FALSE(frame0.empty()) << "can't load " << fileName0; |
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ASSERT_FALSE(frame1.empty()) << "can't load " << fileName1; |
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vector<Point2f> pts, nextPts; |
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vector<unsigned char> status; |
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vector<float> err; |
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goodFeaturesToTrack(frame0, pts, pointsCount, 0.01, 0.0); |
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Mat ptsMat(1, static_cast<int>(pts.size()), CV_32FC2, (void *)&pts[0]); |
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if (RUN_PLAIN_IMPL) |
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{ |
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TEST_CYCLE() |
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cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err); |
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} |
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else if (RUN_OCL_IMPL) |
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{ |
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ocl::PyrLKOpticalFlow oclPyrLK; |
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ocl::oclMat oclFrame0(frame0), oclFrame1(frame1); |
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ocl::oclMat oclPts(ptsMat); |
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ocl::oclMat oclNextPts, oclStatus, oclErr; |
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OCL_TEST_CYCLE() |
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oclPyrLK.sparse(oclFrame0, oclFrame1, oclPts, oclNextPts, oclStatus, &oclErr); |
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} |
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else |
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OCL_PERF_ELSE |
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int value = 0; |
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SANITY_CHECK(value); |
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} |
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PERF_TEST(tvl1flowFixture, tvl1flow) |
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{ |
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Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png"; |
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Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png"; |
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const Size srcSize = frame0.size(); |
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const double eps = 1.2; |
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Mat flow(srcSize, CV_32FC2), flow1(srcSize, CV_32FC1), flow2(srcSize, CV_32FC1); |
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declare.in(frame0, frame1).out(flow1, flow2); |
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if (RUN_PLAIN_IMPL) |
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{ |
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Ptr<DenseOpticalFlow> alg = createOptFlow_DualTVL1(); |
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TEST_CYCLE() alg->calc(frame0, frame1, flow); |
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alg->collectGarbage(); |
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Mat flows[2] = { flow1, flow2 }; |
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split(flow, flows); |
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SANITY_CHECK(flow1, eps); |
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SANITY_CHECK(flow2, eps); |
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} |
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else if (RUN_OCL_IMPL) |
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{ |
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ocl::OpticalFlowDual_TVL1_OCL oclAlg; |
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ocl::oclMat oclFrame0(frame0), oclFrame1(frame1), oclFlow1(srcSize, CV_32FC1), |
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oclFlow2(srcSize, CV_32FC1); |
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OCL_TEST_CYCLE() oclAlg(oclFrame0, oclFrame1, oclFlow1, oclFlow2); |
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oclAlg.collectGarbage(); |
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oclFlow1.download(flow1); |
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oclFlow2.download(flow2); |
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SANITY_CHECK(flow1, eps); |
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SANITY_CHECK(flow2, eps); |
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} |
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else |
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OCL_PERF_ELSE |
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} |
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///////////// FarnebackOpticalFlow //////////////////////// |
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CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN) |
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typedef tuple<tuple<int, double>, farneFlagType, bool> FarnebackOpticalFlowParams; |
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typedef TestBaseWithParam<FarnebackOpticalFlowParams> FarnebackOpticalFlowFixture; |
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OCL_PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow, |
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::testing::Combine( |
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::testing::Values(make_tuple<int, double>(5, 1.1), |
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make_tuple<int, double>(7, 1.5)), |
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farneFlagType::all(), ::testing::Bool())) |
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{ |
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Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png"; |
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Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png"; |
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const Size srcSize = frame0.size(); |
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const FarnebackOpticalFlowParams params = GetParam(); |
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const tuple<int, double> polyParams = get<0>(params); |
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const int polyN = get<0>(polyParams), flags = get<1>(params); |
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const double polySigma = get<1>(polyParams), pyrScale = 0.5; |
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const bool useInitFlow = get<2>(params); |
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const double eps = 1.5; |
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Mat flowx(srcSize, CV_32FC1), flowy(srcSize, CV_32FC1), flow(srcSize, CV_32FC2); |
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declare.in(frame0, frame1).out(flowx, flowy); |
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ocl::FarnebackOpticalFlow farn; |
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farn.pyrScale = pyrScale; |
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farn.polyN = polyN; |
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farn.polySigma = polySigma; |
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farn.flags = flags; |
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if (RUN_PLAIN_IMPL) |
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{ |
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if (useInitFlow) |
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{ |
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calcOpticalFlowFarneback( |
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frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize, |
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farn.numIters, farn.polyN, farn.polySigma, farn.flags); |
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farn.flags |= OPTFLOW_USE_INITIAL_FLOW; |
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} |
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TEST_CYCLE() |
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calcOpticalFlowFarneback( |
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frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize, |
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farn.numIters, farn.polyN, farn.polySigma, farn.flags); |
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Mat flowxy[2] = { flowx, flowy }; |
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split(flow, flowxy); |
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SANITY_CHECK(flowx, eps); |
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SANITY_CHECK(flowy, eps); |
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} |
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else if (RUN_OCL_IMPL) |
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{ |
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ocl::oclMat oclFrame0(frame0), oclFrame1(frame1), |
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oclFlowx(srcSize, CV_32FC1), oclFlowy(srcSize, CV_32FC1); |
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if (useInitFlow) |
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{ |
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farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy); |
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farn.flags |= OPTFLOW_USE_INITIAL_FLOW; |
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} |
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OCL_TEST_CYCLE() |
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farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy); |
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oclFlowx.download(flowx); |
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oclFlowy.download(flowy); |
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SANITY_CHECK(flowx, eps); |
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SANITY_CHECK(flowy, eps); |
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} |
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else |
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OCL_PERF_ELSE |
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}
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