123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120 |
- /*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 {
- /////////////////////////////////////////////////////////////////////////////////////////////////
- // FarnebackOpticalFlow
- namespace
- {
- IMPLEMENT_PARAM_CLASS(PyrScale, double)
- IMPLEMENT_PARAM_CLASS(PolyN, int)
- CV_FLAGS(FarnebackOptFlowFlags, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
- IMPLEMENT_PARAM_CLASS(UseInitFlow, bool)
- }
- PARAM_TEST_CASE(FarnebackOpticalFlow, PyrScale, PolyN, FarnebackOptFlowFlags, UseInitFlow)
- {
- int numLevels;
- int winSize;
- int numIters;
- double pyrScale;
- int polyN;
- int flags;
- bool useInitFlow;
- virtual void SetUp()
- {
- numLevels = 5;
- winSize = 13;
- numIters = 10;
- pyrScale = GET_PARAM(0);
- polyN = GET_PARAM(1);
- flags = GET_PARAM(2);
- useInitFlow = GET_PARAM(3);
- }
- };
- OCL_TEST_P(FarnebackOpticalFlow, 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());
- double polySigma = polyN <= 5 ? 1.1 : 1.5;
- cv::Mat flow; cv::UMat uflow;
- if (useInitFlow)
- {
- OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
- uflow.copyTo(flow);
- flags |= cv::OPTFLOW_USE_INITIAL_FLOW;
- }
- OCL_OFF(cv::calcOpticalFlowFarneback(frame0, frame1, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
- OCL_ON(cv::calcOpticalFlowFarneback(frame0, frame1, uflow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags));
- EXPECT_MAT_SIMILAR(flow, uflow, 0.1);
- }
- OCL_INSTANTIATE_TEST_CASE_P(Video, FarnebackOpticalFlow,
- Combine(
- Values(PyrScale(0.3), PyrScale(0.5), PyrScale(0.8)),
- Values(PolyN(5), PolyN(7)),
- Values(FarnebackOptFlowFlags(0), FarnebackOptFlowFlags(cv::OPTFLOW_FARNEBACK_GAUSSIAN)),
- Values(UseInitFlow(false), UseInitFlow(true))
- )
- );
- } } // namespace opencv_test::ocl
- #endif // HAVE_OPENCL
|