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+/*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) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage 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*/
+
+#ifndef __OPENCV_GPU_PERF_UTILITY_HPP__
+#define __OPENCV_GPU_PERF_UTILITY_HPP__
+
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include "opencv2/ts/ts_perf.hpp"
+
+namespace perf
+{
+#ifdef OPENCV_TINY_GPU_MODULE
+    #define ALL_BORDER_MODES testing::Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_CONSTANT), BorderMode(cv::BORDER_REFLECT))
+    #define ALL_INTERPOLATIONS testing::Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_AREA))
+#else
+    #define ALL_BORDER_MODES BorderMode::all()
+    #define ALL_INTERPOLATIONS Interpolation::all()
+#endif
+
+    CV_ENUM(BorderMode, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP)
+    CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA)
+    CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2, NORM_HAMMING, NORM_MINMAX)
+
+    enum { Gray = 1, TwoChannel = 2, BGR = 3, BGRA = 4 };
+    CV_ENUM(MatCn, Gray, TwoChannel, BGR, BGRA)
+
+    #define GPU_CHANNELS_1_3_4 testing::Values(MatCn(Gray), MatCn(BGR), MatCn(BGRA))
+    #define GPU_CHANNELS_1_3 testing::Values(MatCn(Gray), MatCn(BGR))
+
+    #define GET_PARAM(k) std::tr1::get< k >(GetParam())
+
+    #define DEF_PARAM_TEST(name, ...) typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
+    #define DEF_PARAM_TEST_1(name, param_type) typedef ::perf::TestBaseWithParam< param_type > name
+
+    DEF_PARAM_TEST_1(Sz, cv::Size);
+    typedef ::perf::Size_MatType Sz_Type;
+    DEF_PARAM_TEST(Sz_Depth, cv::Size, ::perf::MatDepth);
+    DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, ::perf::MatDepth, MatCn);
+
+    #define GPU_TYPICAL_MAT_SIZES testing::Values(perf::sz720p, perf::szSXGA, perf::sz1080p)
+
+    #define FAIL_NO_CPU() FAIL() << "No such CPU implementation analogy"
+
+    #define GPU_SANITY_CHECK(mat, ...) \
+        do{ \
+            cv::Mat gpu_##mat(mat); \
+            SANITY_CHECK(gpu_##mat, ## __VA_ARGS__); \
+        } while(0)
+
+    #define CPU_SANITY_CHECK(mat, ...) \
+        do{ \
+            cv::Mat cpu_##mat(mat); \
+            SANITY_CHECK(cpu_##mat, ## __VA_ARGS__); \
+        } while(0)
+
+    CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
+
+    struct CvtColorInfo
+    {
+        int scn;
+        int dcn;
+        int code;
+
+        CvtColorInfo() {}
+        explicit CvtColorInfo(int scn_, int dcn_, int code_) : scn(scn_), dcn(dcn_), code(code_) {}
+    };
+    CV_EXPORTS void PrintTo(const CvtColorInfo& info, std::ostream* os);
+
+    CV_EXPORTS void printCudaInfo();
+
+    CV_EXPORTS void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
+}
+
+#endif // __OPENCV_GPU_PERF_UTILITY_HPP__