mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 09:49:12 +08:00
227 lines
8.0 KiB
C++
227 lines
8.0 KiB
C++
/*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, Multicoreware, Inc., all rights reserved.
|
|
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// @Authors
|
|
// Fangfang Bai, fangfang@multicorewareinc.com
|
|
// Jin Ma, jin@multicorewareinc.com
|
|
//
|
|
// 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 "perf_precomp.hpp"
|
|
|
|
///////////// PyrLKOpticalFlow ////////////////////////
|
|
|
|
using namespace perf;
|
|
using std::tr1::get;
|
|
using std::tr1::tuple;
|
|
using std::tr1::make_tuple;
|
|
|
|
typedef TestBaseWithParam<tuple<int> > PyrLKOpticalFlowFixture;
|
|
|
|
OCL_PERF_TEST_P(PyrLKOpticalFlowFixture,
|
|
PyrLKOpticalFlow, ::testing::Values(1000, 2000, 4000))
|
|
{
|
|
const int pointsCount = get<0>(GetParam());
|
|
|
|
const string fileName0 = "gpu/opticalflow/rubberwhale1.png",
|
|
fileName1 = "gpu/opticalflow/rubberwhale2.png";
|
|
Mat frame0 = imread(getDataPath(fileName0), cv::IMREAD_GRAYSCALE);
|
|
Mat frame1 = imread(getDataPath(fileName1), cv::IMREAD_GRAYSCALE);
|
|
|
|
declare.in(frame0, frame1);
|
|
|
|
ASSERT_FALSE(frame0.empty()) << "can't load " << fileName0;
|
|
ASSERT_FALSE(frame1.empty()) << "can't load " << fileName1;
|
|
|
|
vector<Point2f> pts, nextPts;
|
|
vector<unsigned char> status;
|
|
vector<float> err;
|
|
goodFeaturesToTrack(frame0, pts, pointsCount, 0.01, 0.0);
|
|
Mat ptsMat(1, static_cast<int>(pts.size()), CV_32FC2, (void *)&pts[0]);
|
|
|
|
if (RUN_PLAIN_IMPL)
|
|
{
|
|
TEST_CYCLE()
|
|
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err);
|
|
}
|
|
else if (RUN_OCL_IMPL)
|
|
{
|
|
ocl::PyrLKOpticalFlow oclPyrLK;
|
|
ocl::oclMat oclFrame0(frame0), oclFrame1(frame1);
|
|
ocl::oclMat oclPts(ptsMat);
|
|
ocl::oclMat oclNextPts, oclStatus, oclErr;
|
|
|
|
OCL_TEST_CYCLE()
|
|
oclPyrLK.sparse(oclFrame0, oclFrame1, oclPts, oclNextPts, oclStatus, &oclErr);
|
|
}
|
|
else
|
|
OCL_PERF_ELSE
|
|
|
|
int value = 0;
|
|
SANITY_CHECK(value);
|
|
}
|
|
|
|
PERF_TEST(tvl1flowFixture, tvl1flow)
|
|
{
|
|
Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";
|
|
|
|
Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";
|
|
|
|
const Size srcSize = frame0.size();
|
|
const double eps = 1.2;
|
|
Mat flow(srcSize, CV_32FC2), flow1(srcSize, CV_32FC1), flow2(srcSize, CV_32FC1);
|
|
declare.in(frame0, frame1).out(flow1, flow2);
|
|
|
|
if (RUN_PLAIN_IMPL)
|
|
{
|
|
Ptr<DenseOpticalFlow> alg = createOptFlow_DualTVL1();
|
|
|
|
TEST_CYCLE() alg->calc(frame0, frame1, flow);
|
|
|
|
alg->collectGarbage();
|
|
Mat flows[2] = { flow1, flow2 };
|
|
split(flow, flows);
|
|
|
|
SANITY_CHECK(flow1, eps);
|
|
SANITY_CHECK(flow2, eps);
|
|
}
|
|
else if (RUN_OCL_IMPL)
|
|
{
|
|
ocl::OpticalFlowDual_TVL1_OCL oclAlg;
|
|
ocl::oclMat oclFrame0(frame0), oclFrame1(frame1), oclFlow1(srcSize, CV_32FC1),
|
|
oclFlow2(srcSize, CV_32FC1);
|
|
|
|
OCL_TEST_CYCLE() oclAlg(oclFrame0, oclFrame1, oclFlow1, oclFlow2);
|
|
|
|
oclAlg.collectGarbage();
|
|
|
|
oclFlow1.download(flow1);
|
|
oclFlow2.download(flow2);
|
|
|
|
SANITY_CHECK(flow1, eps);
|
|
SANITY_CHECK(flow2, eps);
|
|
}
|
|
else
|
|
OCL_PERF_ELSE
|
|
}
|
|
|
|
///////////// FarnebackOpticalFlow ////////////////////////
|
|
|
|
CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
|
|
|
|
typedef tuple<tuple<int, double>, farneFlagType, bool> FarnebackOpticalFlowParams;
|
|
typedef TestBaseWithParam<FarnebackOpticalFlowParams> FarnebackOpticalFlowFixture;
|
|
|
|
OCL_PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow,
|
|
::testing::Combine(
|
|
::testing::Values(make_tuple<int, double>(5, 1.1),
|
|
make_tuple<int, double>(7, 1.5)),
|
|
farneFlagType::all(), ::testing::Bool()))
|
|
{
|
|
Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";
|
|
|
|
Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";
|
|
|
|
const Size srcSize = frame0.size();
|
|
|
|
const FarnebackOpticalFlowParams params = GetParam();
|
|
const tuple<int, double> polyParams = get<0>(params);
|
|
const int polyN = get<0>(polyParams), flags = get<1>(params);
|
|
const double polySigma = get<1>(polyParams), pyrScale = 0.5;
|
|
const bool useInitFlow = get<2>(params);
|
|
const double eps = 1.5;
|
|
|
|
Mat flowx(srcSize, CV_32FC1), flowy(srcSize, CV_32FC1), flow(srcSize, CV_32FC2);
|
|
declare.in(frame0, frame1).out(flowx, flowy);
|
|
|
|
ocl::FarnebackOpticalFlow farn;
|
|
farn.pyrScale = pyrScale;
|
|
farn.polyN = polyN;
|
|
farn.polySigma = polySigma;
|
|
farn.flags = flags;
|
|
|
|
if (RUN_PLAIN_IMPL)
|
|
{
|
|
if (useInitFlow)
|
|
{
|
|
calcOpticalFlowFarneback(
|
|
frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize,
|
|
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
|
|
farn.flags |= OPTFLOW_USE_INITIAL_FLOW;
|
|
}
|
|
|
|
TEST_CYCLE()
|
|
calcOpticalFlowFarneback(
|
|
frame0, frame1, flow, farn.pyrScale, farn.numLevels, farn.winSize,
|
|
farn.numIters, farn.polyN, farn.polySigma, farn.flags);
|
|
|
|
Mat flowxy[2] = { flowx, flowy };
|
|
split(flow, flowxy);
|
|
|
|
SANITY_CHECK(flowx, eps);
|
|
SANITY_CHECK(flowy, eps);
|
|
}
|
|
else if (RUN_OCL_IMPL)
|
|
{
|
|
ocl::oclMat oclFrame0(frame0), oclFrame1(frame1),
|
|
oclFlowx(srcSize, CV_32FC1), oclFlowy(srcSize, CV_32FC1);
|
|
|
|
if (useInitFlow)
|
|
{
|
|
farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy);
|
|
farn.flags |= OPTFLOW_USE_INITIAL_FLOW;
|
|
}
|
|
|
|
OCL_TEST_CYCLE()
|
|
farn(oclFrame0, oclFrame1, oclFlowx, oclFlowy);
|
|
|
|
oclFlowx.download(flowx);
|
|
oclFlowy.download(flowy);
|
|
|
|
SANITY_CHECK(flowx, eps);
|
|
SANITY_CHECK(flowy, eps);
|
|
}
|
|
else
|
|
OCL_PERF_ELSE
|
|
}
|