--- /dev/null
+/*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 {
+
+///////////// 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 int numLevels = 5;
+ const int winSize = 13;
+ const int numIters = 10;
+
+ const FarnebackOpticalFlowParams params = GetParam();
+ const tuple<int, double> polyParams = get<0>(params);
+ const int polyN = get<0>(polyParams);
+ const double polySigma = get<1>(polyParams);
+ const double pyrScale = 0.5;
+ int flags = get<1>(params);
+ const bool useInitFlow = get<2>(params);
+ const double eps = 1.5;
+
+ 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);
+ if (useInitFlow)
+ {
+ cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
+ flags |= OPTFLOW_USE_INITIAL_FLOW;
+ }
+
+ OCL_TEST_CYCLE()
+ cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
+
+
+ SANITY_CHECK(uFlow, eps);
+}
+
+} } // namespace cvtest::ocl
+
+#endif // HAVE_OPENCL
\ No newline at end of file
#endif
size_t globalsize[2] = { DIVUP(src.cols, localsize[0] - 2*polyN) * localsize[0], src.rows};
+#if 0
const cv::ocl::Device &device = cv::ocl::Device::getDefault();
bool useDouble = (0 != device.doubleFPConfig());
cv::String build_options = cv::format("-D polyN=%d -D USE_DOUBLE=%d", polyN, useDouble ? 1 : 0);
+#else
+ cv::String build_options = cv::format("-D polyN=%d", polyN);
+#endif
ocl::Kernel kernel;
if (!kernel.create("polynomialExpansion", cv::ocl::video::optical_flow_farneback_oclsrc, build_options))
return false;
idxArg = kernel.set(idxArg, ocl::KernelArg::PtrReadOnly(m_xg));
idxArg = kernel.set(idxArg, ocl::KernelArg::PtrReadOnly(m_xxg));
idxArg = kernel.set(idxArg, (void *)NULL, smem_size);
+#if 0
if (useDouble)
idxArg = kernel.set(idxArg, (void *)m_igd, 4 * sizeof(double));
else
+#endif
idxArg = kernel.set(idxArg, (void *)m_ig, 4 * sizeof(float));
return kernel.run(2, globalsize, localsize, false);
}