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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
//  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.
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#ifndef __OPENCV_GPU_STREAM_ACCESSOR_HPP__
#define __OPENCV_GPU_STREAM_ACCESSOR_HPP__

#include "opencv2/gpu/gpu.hpp"
#include "cuda_runtime_api.h"

namespace cv
{
    namespace gpu
    {
        // This is only header file that depends on Cuda. All other headers are independent.
        // So if you use OpenCV binaries you do noot need to install Cuda Toolkit.
        // But of you wanna use GPU by yourself, may get cuda stream instance using the class below.
        // In this case you have to install Cuda Toolkit.
        struct StreamAccessor
        {
            CV_EXPORTS static cudaStream_t getStream(const Stream& stream);
            CV_EXPORTS static Stream wrapStream(cudaStream_t stream);
        };
    }
}

#endif /* __OPENCV_GPU_STREAM_ACCESSOR_HPP__ */