mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
112 lines
4.4 KiB
112 lines
4.4 KiB
/*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" |
|
#include "opencv2/ts/ocl_perf.hpp" |
|
|
|
using std::tr1::make_tuple; |
|
|
|
#ifdef HAVE_OPENCL |
|
|
|
namespace cvtest { |
|
namespace ocl { |
|
|
|
///////////// OpticalFlow Dual TVL1 //////////////////////// |
|
typedef tuple< tuple<int, double>, bool> OpticalFlowDualTVL1Params; |
|
typedef TestBaseWithParam<OpticalFlowDualTVL1Params> OpticalFlowDualTVL1Fixture; |
|
|
|
OCL_PERF_TEST_P(OpticalFlowDualTVL1Fixture, OpticalFlowDualTVL1, |
|
::testing::Combine( |
|
::testing::Values(make_tuple<int, double>(-1, 0.3), |
|
make_tuple<int, double>(3, 0.5)), |
|
::testing::Bool() |
|
) |
|
) |
|
{ |
|
Mat frame0 = imread(getDataPath("cv/optflow/RubberWhale1.png"), cv::IMREAD_GRAYSCALE); |
|
ASSERT_FALSE(frame0.empty()) << "can't load RubberWhale1.png"; |
|
|
|
Mat frame1 = imread(getDataPath("cv/optflow/RubberWhale2.png"), cv::IMREAD_GRAYSCALE); |
|
ASSERT_FALSE(frame1.empty()) << "can't load RubberWhale2.png"; |
|
|
|
const Size srcSize = frame0.size(); |
|
|
|
const OpticalFlowDualTVL1Params params = GetParam(); |
|
const tuple<int, double> filteringScale = get<0>(params); |
|
const int medianFiltering = get<0>(filteringScale); |
|
const double scaleStep = get<1>(filteringScale); |
|
const bool useInitFlow = get<1>(params); |
|
double eps = 0.9; |
|
|
|
UMat uFrame0; frame0.copyTo(uFrame0); |
|
UMat uFrame1; frame1.copyTo(uFrame1); |
|
UMat uFlow(srcSize, CV_32FC2); |
|
declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ); |
|
|
|
//create algorithm |
|
cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1(); |
|
|
|
//set parameters |
|
alg->setScaleStep(scaleStep); |
|
alg->setMedianFiltering(medianFiltering); |
|
|
|
if (useInitFlow) |
|
{ |
|
//calculate initial flow as result of optical flow |
|
alg->calc(uFrame0, uFrame1, uFlow); |
|
} |
|
|
|
//set flag to use initial flow |
|
alg->setUseInitialFlow(useInitFlow); |
|
OCL_TEST_CYCLE() |
|
alg->calc(uFrame0, uFrame1, uFlow); |
|
|
|
SANITY_CHECK(uFlow, eps, ERROR_RELATIVE); |
|
} |
|
} |
|
} // namespace cvtest::ocl |
|
|
|
#endif // HAVE_OPENCL
|
|
|