aacf188e83
Conflicts: modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/src/arithm.cpp modules/ocl/src/build_warps.cpp modules/ocl/src/color.cpp modules/ocl/src/haar.cpp modules/ocl/src/imgproc.cpp modules/ocl/src/split_merge.cpp modules/ocl/test/test_color.cpp samples/cpp/3calibration.cpp samples/cpp/OpenEXRimages_HDR_Retina_toneMapping.cpp samples/cpp/OpenEXRimages_HDR_Retina_toneMapping_video.cpp samples/cpp/Qt_sample/main.cpp samples/cpp/camshiftdemo.cpp samples/cpp/descriptor_extractor_matcher.cpp samples/cpp/distrans.cpp samples/cpp/generic_descriptor_match.cpp samples/cpp/grabcut.cpp samples/cpp/morphology2.cpp samples/cpp/segment_objects.cpp samples/cpp/stereo_calib.cpp samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp samples/cpp/tutorial_code/introduction/display_image/display_image.cpp samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/Test.cpp samples/cpp/tutorial_code/objectDetection/objectDetection.cpp samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp samples/cpp/video_dmtx.cpp
142 lines
5.0 KiB
C++
142 lines
5.0 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, 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.
|
|
|
|
// 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*/
|
|
|
|
#ifdef __GNUC__
|
|
# pragma GCC diagnostic ignored "-Wmissing-declarations"
|
|
# if defined __clang__ || defined __APPLE__
|
|
# pragma GCC diagnostic ignored "-Wmissing-prototypes"
|
|
# pragma GCC diagnostic ignored "-Wextra"
|
|
# endif
|
|
#endif
|
|
|
|
#ifndef __OPENCV_PERF_PRECOMP_HPP__
|
|
#define __OPENCV_PERF_PRECOMP_HPP__
|
|
|
|
#ifdef __GNUC__
|
|
# pragma GCC diagnostic ignored "-Wmissing-declarations"
|
|
# if defined __clang__ || defined __APPLE__
|
|
# pragma GCC diagnostic ignored "-Wmissing-prototypes"
|
|
# pragma GCC diagnostic ignored "-Wextra"
|
|
# endif
|
|
#endif
|
|
|
|
#include <iomanip>
|
|
#include <stdexcept>
|
|
#include <string>
|
|
#include <iostream>
|
|
#include <cstdio>
|
|
#include <vector>
|
|
#include <numeric>
|
|
|
|
#include "cvconfig.h"
|
|
#include "opencv2/core.hpp"
|
|
#include "opencv2/core/utility.hpp"
|
|
#include "opencv2/imgproc.hpp"
|
|
#include "opencv2/highgui.hpp"
|
|
#include "opencv2/calib3d.hpp"
|
|
#include "opencv2/video.hpp"
|
|
#include "opencv2/objdetect.hpp"
|
|
#include "opencv2/features2d.hpp"
|
|
#include "opencv2/ocl.hpp"
|
|
#include "opencv2/ts.hpp"
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
|
|
#define OCL_SIZE_1000 Size(1000, 1000)
|
|
#define OCL_SIZE_2000 Size(2000, 2000)
|
|
#define OCL_SIZE_4000 Size(4000, 4000)
|
|
|
|
#define OCL_TYPICAL_MAT_SIZES ::testing::Values(OCL_SIZE_1000, OCL_SIZE_2000, OCL_SIZE_4000)
|
|
|
|
#define OCL_PERF_ENUM(type, ...) ::testing::Values(type, ## __VA_ARGS__ )
|
|
|
|
#define IMPL_OCL "ocl"
|
|
#define IMPL_GPU "gpu"
|
|
#define IMPL_PLAIN "plain"
|
|
|
|
#define RUN_OCL_IMPL (IMPL_OCL == getSelectedImpl())
|
|
#define RUN_PLAIN_IMPL (IMPL_PLAIN == getSelectedImpl())
|
|
|
|
#ifdef HAVE_OPENCV_GPU
|
|
# define RUN_GPU_IMPL (IMPL_GPU == getSelectedImpl())
|
|
#endif
|
|
|
|
#ifdef HAVE_OPENCV_GPU
|
|
#define OCL_PERF_ELSE \
|
|
if (RUN_GPU_IMPL) \
|
|
CV_TEST_FAIL_NO_IMPL(); \
|
|
else \
|
|
CV_TEST_FAIL_NO_IMPL();
|
|
#else
|
|
#define OCL_PERF_ELSE \
|
|
CV_TEST_FAIL_NO_IMPL();
|
|
#endif
|
|
|
|
#define OCL_TEST_CYCLE_N(n) for(declare.iterations(n); startTimer(), next(); cv::ocl::finish(), stopTimer())
|
|
#define OCL_TEST_CYCLE() for(; startTimer(), next(); cv::ocl::finish(), stopTimer())
|
|
#define OCL_TEST_CYCLE_MULTIRUN(runsNum) for(declare.runs(runsNum); startTimer(), next(); stopTimer()) for(int r = 0; r < runsNum; cv::ocl::finish(), ++r)
|
|
|
|
namespace cvtest {
|
|
namespace ocl {
|
|
inline void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1)
|
|
{
|
|
assert(factor > 0);
|
|
if (!(IMPL_OCL == perf::TestBase::getSelectedImpl()))
|
|
return; // OpenCL devices are not used
|
|
int cn = CV_MAT_CN(type);
|
|
int cn_ocl = cn == 3 ? 4 : cn;
|
|
int type_ocl = CV_MAKE_TYPE(CV_MAT_DEPTH(type), cn_ocl);
|
|
size_t memSize = size.area() * CV_ELEM_SIZE(type_ocl);
|
|
const cv::ocl::DeviceInfo& devInfo = cv::ocl::Context::getContext()->getDeviceInfo();
|
|
if (memSize * factor >= devInfo.maxMemAllocSize)
|
|
{
|
|
throw perf::TestBase::PerfSkipTestException();
|
|
}
|
|
}
|
|
} // namespace cvtest::ocl
|
|
} // namespace cvtest
|
|
|
|
using namespace cvtest::ocl;
|
|
|
|
#endif
|