Add perfomance test

pull/2134/head
vbystricky 11 years ago
parent fc8b385ff6
commit f1541b5287
  1. 114
      modules/video/perf/opencl/perf_optflow_farneback.cpp
  2. 6
      modules/video/src/optflowgf.cpp

@ -0,0 +1,114 @@
/*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.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// 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
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//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

@ -895,10 +895,14 @@ private:
#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;
@ -915,9 +919,11 @@ private:
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);
}

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