mirror of
https://github.com/opencv/opencv.git
synced 2024-11-29 05:29:54 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
118 lines
4.1 KiB
C++
118 lines
4.1 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, 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 opencv_test {
|
|
namespace ocl {
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
// Optical_flow_tvl1
|
|
namespace
|
|
{
|
|
IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
|
|
IMPLEMENT_PARAM_CLASS(MedianFiltering, int)
|
|
IMPLEMENT_PARAM_CLASS(ScaleStep, double)
|
|
}
|
|
|
|
PARAM_TEST_CASE(OpticalFlowTVL1, UseInitFlow, MedianFiltering, ScaleStep)
|
|
{
|
|
bool useInitFlow;
|
|
int medianFiltering;
|
|
double scaleStep;
|
|
virtual void SetUp()
|
|
{
|
|
useInitFlow = GET_PARAM(0);
|
|
medianFiltering = GET_PARAM(1);
|
|
scaleStep = GET_PARAM(2);
|
|
}
|
|
};
|
|
|
|
OCL_TEST_P(OpticalFlowTVL1, Mat)
|
|
{
|
|
cv::Mat frame0 = readImage("optflow/RubberWhale1.png", cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame0.empty());
|
|
|
|
cv::Mat frame1 = readImage("optflow/RubberWhale2.png", cv::IMREAD_GRAYSCALE);
|
|
ASSERT_FALSE(frame1.empty());
|
|
|
|
cv::Mat flow; cv::UMat uflow;
|
|
|
|
//create algorithm
|
|
cv::Ptr<cv::DualTVL1OpticalFlow> alg = cv::createOptFlow_DualTVL1();
|
|
|
|
//set parameters
|
|
alg->setScaleStep(scaleStep);
|
|
alg->setMedianFiltering(medianFiltering);
|
|
|
|
//create initial flow as result of algorithm calculation
|
|
if (useInitFlow)
|
|
{
|
|
OCL_ON(alg->calc(frame0, frame1, uflow));
|
|
uflow.copyTo(flow);
|
|
}
|
|
|
|
//set flag to use initial flow as it is ready to use
|
|
alg->setUseInitialFlow(useInitFlow);
|
|
|
|
OCL_OFF(alg->calc(frame0, frame1, flow));
|
|
OCL_ON(alg->calc(frame0, frame1, uflow));
|
|
|
|
EXPECT_MAT_SIMILAR(flow, uflow, 1e-2);
|
|
}
|
|
|
|
OCL_INSTANTIATE_TEST_CASE_P(Video, OpticalFlowTVL1,
|
|
Combine(
|
|
Values(UseInitFlow(false), UseInitFlow(true)),
|
|
Values(MedianFiltering(3), MedianFiltering(-1)),
|
|
Values(ScaleStep(0.3),ScaleStep(0.5))
|
|
)
|
|
);
|
|
|
|
} } // namespace opencv_test::ocl
|
|
|
|
#endif // HAVE_OPENCL
|