227 lines
8.0 KiB
C++
227 lines
8.0 KiB
C++
/*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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