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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.
// Copyright (C) 2013, OpenCV Foundation, 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_CORE_PRIVATE_CUDA_HPP__
#define __OPENCV_CORE_PRIVATE_CUDA_HPP__
#ifndef __OPENCV_BUILD
# error this is a private header which should not be used from outside of the OpenCV library
#endif
#include "cvconfig.h"
#include "opencv2/core/cvdef.h"
#include "opencv2/core/base.hpp"
#include "opencv2/core/cuda.hpp"
#ifdef HAVE_CUDA
# include <cuda.h>
# include <cuda_runtime.h>
# include <npp.h>
# include "opencv2/core/cuda_stream_accessor.hpp"
# include "opencv2/core/cuda/common.hpp"
# define NPP_VERSION (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD)
# define CUDART_MINIMUM_REQUIRED_VERSION 4020
# if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
# error "Insufficient Cuda Runtime library version, please update it."
# endif
# if defined(CUDA_ARCH_BIN_OR_PTX_10)
# error "OpenCV CUDA module doesn't support NVIDIA compute capability 1.0"
# endif
#endif
//! @cond IGNORED
namespace cv { namespace cuda {
CV_EXPORTS cv::String getNppErrorMessage(int code);
CV_EXPORTS cv::String getCudaDriverApiErrorMessage(int code);
CV_EXPORTS GpuMat getInputMat(InputArray _src, Stream& stream);
CV_EXPORTS GpuMat getOutputMat(OutputArray _dst, int rows, int cols, int type, Stream& stream);
static inline GpuMat getOutputMat(OutputArray _dst, Size size, int type, Stream& stream)
{
return getOutputMat(_dst, size.height, size.width, type, stream);
}
CV_EXPORTS void syncOutput(const GpuMat& dst, OutputArray _dst, Stream& stream);
}}
#ifndef HAVE_CUDA
static inline void throw_no_cuda() { CV_Error(cv::Error::GpuNotSupported, "The library is compiled without CUDA support"); }
#else // HAVE_CUDA
static inline void throw_no_cuda() { CV_Error(cv::Error::StsNotImplemented, "The called functionality is disabled for current build or platform"); }
namespace cv { namespace cuda
{
class CV_EXPORTS BufferPool
{
public:
explicit BufferPool(Stream& stream);
GpuMat getBuffer(int rows, int cols, int type);
GpuMat getBuffer(Size size, int type) { return getBuffer(size.height, size.width, type); }
GpuMat::Allocator* getAllocator() const { return allocator_; }
private:
GpuMat::Allocator* allocator_;
};
static inline void checkNppError(int code, const char* file, const int line, const char* func)
{
if (code < 0)
cv::error(cv::Error::GpuApiCallError, getNppErrorMessage(code), func, file, line);
}
static inline void checkCudaDriverApiError(int code, const char* file, const int line, const char* func)
{
if (code != CUDA_SUCCESS)
cv::error(cv::Error::GpuApiCallError, getCudaDriverApiErrorMessage(code), func, file, line);
}
template<int n> struct NPPTypeTraits;
template<> struct NPPTypeTraits<CV_8U> { typedef Npp8u npp_type; };
template<> struct NPPTypeTraits<CV_8S> { typedef Npp8s npp_type; };
template<> struct NPPTypeTraits<CV_16U> { typedef Npp16u npp_type; };
template<> struct NPPTypeTraits<CV_16S> { typedef Npp16s npp_type; };
template<> struct NPPTypeTraits<CV_32S> { typedef Npp32s npp_type; };
template<> struct NPPTypeTraits<CV_32F> { typedef Npp32f npp_type; };
template<> struct NPPTypeTraits<CV_64F> { typedef Npp64f npp_type; };
class NppStreamHandler
{
public:
inline explicit NppStreamHandler(Stream& newStream)
{
oldStream = nppGetStream();
nppSetStream(StreamAccessor::getStream(newStream));
}
inline explicit NppStreamHandler(cudaStream_t newStream)
{
oldStream = nppGetStream();
nppSetStream(newStream);
}
inline ~NppStreamHandler()
{
nppSetStream(oldStream);
}
private:
cudaStream_t oldStream;
};
}}
#define nppSafeCall(expr) cv::cuda::checkNppError(expr, __FILE__, __LINE__, CV_Func)
#define cuSafeCall(expr) cv::cuda::checkCudaDriverApiError(expr, __FILE__, __LINE__, CV_Func)
#endif // HAVE_CUDA
//! @endcond
#endif // __OPENCV_CORE_CUDA_PRIVATE_HPP__