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rename CudaMem -> HostMem to better reflect its purpose

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This commit is contained in:
Vladislav Vinogradov 2014-12-19 13:46:28 +03:00
parent 9210d8e542
commit 53862687d5
20 changed files with 173 additions and 155 deletions
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2
modules/core/include/opencv2/core/base.hpp
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@ -705,7 +705,7 @@ namespace ogl
namespace cuda namespace cuda
{ {
class CV_EXPORTS GpuMat; class CV_EXPORTS GpuMat;
class CV_EXPORTS CudaMem; class CV_EXPORTS HostMem;
class CV_EXPORTS Stream; class CV_EXPORTS Stream;
class CV_EXPORTS Event; class CV_EXPORTS Event;
} }

42
modules/core/include/opencv2/core/cuda.hpp
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@ -56,7 +56,9 @@ namespace cv { namespace cuda {
//! @addtogroup cuda_struct //! @addtogroup cuda_struct
//! @{ //! @{
//////////////////////////////// GpuMat /////////////////////////////// //===================================================================================
// GpuMat
//===================================================================================
/** @brief Base storage class for GPU memory with reference counting. /** @brief Base storage class for GPU memory with reference counting.
@ -318,7 +320,9 @@ CV_EXPORTS void ensureSizeIsEnough(int rows, int cols, int type, OutputArray arr
CV_EXPORTS void setBufferPoolUsage(bool on); CV_EXPORTS void setBufferPoolUsage(bool on);
CV_EXPORTS void setBufferPoolConfig(int deviceId, size_t stackSize, int stackCount); CV_EXPORTS void setBufferPoolConfig(int deviceId, size_t stackSize, int stackCount);
//////////////////////////////// CudaMem //////////////////////////////// //===================================================================================
// HostMem
//===================================================================================
/** @brief Class with reference counting wrapping special memory type allocation functions from CUDA. /** @brief Class with reference counting wrapping special memory type allocation functions from CUDA.
@ -335,43 +339,43 @@ Its interface is also Mat-like but with additional memory type parameters.
@note Allocation size of such memory types is usually limited. For more details, see *CUDA 2.2 @note Allocation size of such memory types is usually limited. For more details, see *CUDA 2.2
Pinned Memory APIs* document or *CUDA C Programming Guide*. Pinned Memory APIs* document or *CUDA C Programming Guide*.
*/ */
class CV_EXPORTS CudaMem class CV_EXPORTS HostMem
{ {
public: public:
enum AllocType { PAGE_LOCKED = 1, SHARED = 2, WRITE_COMBINED = 4 }; enum AllocType { PAGE_LOCKED = 1, SHARED = 2, WRITE_COMBINED = 4 };
explicit CudaMem(AllocType alloc_type = PAGE_LOCKED); explicit HostMem(AllocType alloc_type = PAGE_LOCKED);
CudaMem(const CudaMem& m); HostMem(const HostMem& m);
CudaMem(int rows, int cols, int type, AllocType alloc_type = PAGE_LOCKED); HostMem(int rows, int cols, int type, AllocType alloc_type = PAGE_LOCKED);
CudaMem(Size size, int type, AllocType alloc_type = PAGE_LOCKED); HostMem(Size size, int type, AllocType alloc_type = PAGE_LOCKED);
//! creates from host memory with coping data //! creates from host memory with coping data
explicit CudaMem(InputArray arr, AllocType alloc_type = PAGE_LOCKED); explicit HostMem(InputArray arr, AllocType alloc_type = PAGE_LOCKED);
~CudaMem(); ~HostMem();
CudaMem& operator =(const CudaMem& m); HostMem& operator =(const HostMem& m);
//! swaps with other smart pointer //! swaps with other smart pointer
void swap(CudaMem& b); void swap(HostMem& b);
//! returns deep copy of the matrix, i.e. the data is copied //! returns deep copy of the matrix, i.e. the data is copied
CudaMem clone() const; HostMem clone() const;
//! allocates new matrix data unless the matrix already has specified size and type. //! allocates new matrix data unless the matrix already has specified size and type.
void create(int rows, int cols, int type); void create(int rows, int cols, int type);
void create(Size size, int type); void create(Size size, int type);
//! creates alternative CudaMem header for the same data, with different //! creates alternative HostMem header for the same data, with different
//! number of channels and/or different number of rows //! number of channels and/or different number of rows
CudaMem reshape(int cn, int rows = 0) const; HostMem reshape(int cn, int rows = 0) const;
//! decrements reference counter and released memory if needed. //! decrements reference counter and released memory if needed.
void release(); void release();
//! returns matrix header with disabled reference counting for CudaMem data. //! returns matrix header with disabled reference counting for HostMem data.
Mat createMatHeader() const; Mat createMatHeader() const;
/** @brief Maps CPU memory to GPU address space and creates the cuda::GpuMat header without reference counting /** @brief Maps CPU memory to GPU address space and creates the cuda::GpuMat header without reference counting
@ -420,7 +424,9 @@ CV_EXPORTS void registerPageLocked(Mat& m);
*/ */
CV_EXPORTS void unregisterPageLocked(Mat& m); CV_EXPORTS void unregisterPageLocked(Mat& m);
///////////////////////////////// Stream ////////////////////////////////// //===================================================================================
// Stream
//===================================================================================
/** @brief This class encapsulates a queue of asynchronous calls. /** @brief This class encapsulates a queue of asynchronous calls.
@ -514,7 +520,9 @@ private:
//! @} cuda_struct //! @} cuda_struct
//////////////////////////////// Initialization & Info //////////////////////// //===================================================================================
// Initialization & Info
//===================================================================================
//! @addtogroup cuda_init //! @addtogroup cuda_init
//! @{ //! @{

66
modules/core/include/opencv2/core/cuda.inl.hpp
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@ -50,7 +50,9 @@
namespace cv { namespace cuda { namespace cv { namespace cuda {
//////////////////////////////// GpuMat /////////////////////////////// //===================================================================================
// GpuMat
//===================================================================================
inline inline
GpuMat::GpuMat(Allocator* allocator_) GpuMat::GpuMat(Allocator* allocator_)
@ -374,16 +376,18 @@ void swap(GpuMat& a, GpuMat& b)
a.swap(b); a.swap(b);
} }
//////////////////////////////// CudaMem //////////////////////////////// //===================================================================================
// HostMem
//===================================================================================
inline inline
CudaMem::CudaMem(AllocType alloc_type_) HostMem::HostMem(AllocType alloc_type_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{ {
} }
inline inline
CudaMem::CudaMem(const CudaMem& m) HostMem::HostMem(const HostMem& m)
: flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), alloc_type(m.alloc_type) : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), alloc_type(m.alloc_type)
{ {
if( refcount ) if( refcount )
@ -391,7 +395,7 @@ CudaMem::CudaMem(const CudaMem& m)
} }
inline inline
CudaMem::CudaMem(int rows_, int cols_, int type_, AllocType alloc_type_) HostMem::HostMem(int rows_, int cols_, int type_, AllocType alloc_type_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{ {
if (rows_ > 0 && cols_ > 0) if (rows_ > 0 && cols_ > 0)
@ -399,7 +403,7 @@ CudaMem::CudaMem(int rows_, int cols_, int type_, AllocType alloc_type_)
} }
inline inline
CudaMem::CudaMem(Size size_, int type_, AllocType alloc_type_) HostMem::HostMem(Size size_, int type_, AllocType alloc_type_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{ {
if (size_.height > 0 && size_.width > 0) if (size_.height > 0 && size_.width > 0)
@ -407,24 +411,24 @@ CudaMem::CudaMem(Size size_, int type_, AllocType alloc_type_)
} }
inline inline
CudaMem::CudaMem(InputArray arr, AllocType alloc_type_) HostMem::HostMem(InputArray arr, AllocType alloc_type_)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{ {
arr.getMat().copyTo(*this); arr.getMat().copyTo(*this);
} }
inline inline
CudaMem::~CudaMem() HostMem::~HostMem()
{ {
release(); release();
} }
inline inline
CudaMem& CudaMem::operator =(const CudaMem& m) HostMem& HostMem::operator =(const HostMem& m)
{ {
if (this != &m) if (this != &m)
{ {
CudaMem temp(m); HostMem temp(m);
swap(temp); swap(temp);
} }
@ -432,7 +436,7 @@ CudaMem& CudaMem::operator =(const CudaMem& m)
} }
inline inline
void CudaMem::swap(CudaMem& b) void HostMem::swap(HostMem& b)
{ {
std::swap(flags, b.flags); std::swap(flags, b.flags);
std::swap(rows, b.rows); std::swap(rows, b.rows);
@ -446,86 +450,88 @@ void CudaMem::swap(CudaMem& b)
} }
inline inline
CudaMem CudaMem::clone() const HostMem HostMem::clone() const
{ {
CudaMem m(size(), type(), alloc_type); HostMem m(size(), type(), alloc_type);
createMatHeader().copyTo(m); createMatHeader().copyTo(m);
return m; return m;
} }
inline inline
void CudaMem::create(Size size_, int type_) void HostMem::create(Size size_, int type_)
{ {
create(size_.height, size_.width, type_); create(size_.height, size_.width, type_);
} }
inline inline
Mat CudaMem::createMatHeader() const Mat HostMem::createMatHeader() const
{ {
return Mat(size(), type(), data, step); return Mat(size(), type(), data, step);
} }
inline inline
bool CudaMem::isContinuous() const bool HostMem::isContinuous() const
{ {
return (flags & Mat::CONTINUOUS_FLAG) != 0; return (flags & Mat::CONTINUOUS_FLAG) != 0;
} }
inline inline
size_t CudaMem::elemSize() const size_t HostMem::elemSize() const
{ {
return CV_ELEM_SIZE(flags); return CV_ELEM_SIZE(flags);
} }
inline inline
size_t CudaMem::elemSize1() const size_t HostMem::elemSize1() const
{ {
return CV_ELEM_SIZE1(flags); return CV_ELEM_SIZE1(flags);
} }
inline inline
int CudaMem::type() const int HostMem::type() const
{ {
return CV_MAT_TYPE(flags); return CV_MAT_TYPE(flags);
} }
inline inline
int CudaMem::depth() const int HostMem::depth() const
{ {
return CV_MAT_DEPTH(flags); return CV_MAT_DEPTH(flags);
} }
inline inline
int CudaMem::channels() const int HostMem::channels() const
{ {
return CV_MAT_CN(flags); return CV_MAT_CN(flags);
} }
inline inline
size_t CudaMem::step1() const size_t HostMem::step1() const
{ {
return step / elemSize1(); return step / elemSize1();
} }
inline inline
Size CudaMem::size() const Size HostMem::size() const
{ {
return Size(cols, rows); return Size(cols, rows);
} }
inline inline
bool CudaMem::empty() const bool HostMem::empty() const
{ {
return data == 0; return data == 0;
} }
static inline static inline
void swap(CudaMem& a, CudaMem& b) void swap(HostMem& a, HostMem& b)
{ {
a.swap(b); a.swap(b);
} }
//////////////////////////////// Stream /////////////////////////////// //===================================================================================
// Stream
//===================================================================================
inline inline
Stream::Stream(const Ptr<Impl>& impl) Stream::Stream(const Ptr<Impl>& impl)
@ -533,7 +539,9 @@ Stream::Stream(const Ptr<Impl>& impl)
{ {
} }
//////////////////////////////// Initialization & Info //////////////////////// //===================================================================================
// Initialization & Info
//===================================================================================
inline inline
bool TargetArchs::has(int major, int minor) bool TargetArchs::has(int major, int minor)
@ -592,7 +600,9 @@ bool DeviceInfo::supports(FeatureSet feature_set) const
}} // namespace cv { namespace cuda { }} // namespace cv { namespace cuda {
//////////////////////////////// Mat //////////////////////////////// //===================================================================================
// Mat
//===================================================================================
namespace cv { namespace cv {

16
modules/core/include/opencv2/core/mat.hpp
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@ -160,8 +160,8 @@ public:
STD_VECTOR_MAT = 5 << KIND_SHIFT, STD_VECTOR_MAT = 5 << KIND_SHIFT,
EXPR = 6 << KIND_SHIFT, EXPR = 6 << KIND_SHIFT,
OPENGL_BUFFER = 7 << KIND_SHIFT, OPENGL_BUFFER = 7 << KIND_SHIFT,
CUDA_MEM = 8 << KIND_SHIFT, CUDA_HOST_MEM = 8 << KIND_SHIFT,
GPU_MAT = 9 << KIND_SHIFT, CUDA_GPU_MAT = 9 << KIND_SHIFT,
UMAT =10 << KIND_SHIFT, UMAT =10 << KIND_SHIFT,
STD_VECTOR_UMAT =11 << KIND_SHIFT STD_VECTOR_UMAT =11 << KIND_SHIFT
}; };
@ -180,7 +180,7 @@ public:
_InputArray(const double& val); _InputArray(const double& val);
_InputArray(const cuda::GpuMat& d_mat); _InputArray(const cuda::GpuMat& d_mat);
_InputArray(const ogl::Buffer& buf); _InputArray(const ogl::Buffer& buf);
_InputArray(const cuda::CudaMem& cuda_mem); _InputArray(const cuda::HostMem& cuda_mem);
template<typename _Tp> _InputArray(const cudev::GpuMat_<_Tp>& m); template<typename _Tp> _InputArray(const cudev::GpuMat_<_Tp>& m);
_InputArray(const UMat& um); _InputArray(const UMat& um);
_InputArray(const std::vector<UMat>& umv); _InputArray(const std::vector<UMat>& umv);
@ -277,7 +277,7 @@ public:
_OutputArray(std::vector<Mat>& vec); _OutputArray(std::vector<Mat>& vec);
_OutputArray(cuda::GpuMat& d_mat); _OutputArray(cuda::GpuMat& d_mat);
_OutputArray(ogl::Buffer& buf); _OutputArray(ogl::Buffer& buf);
_OutputArray(cuda::CudaMem& cuda_mem); _OutputArray(cuda::HostMem& cuda_mem);
template<typename _Tp> _OutputArray(cudev::GpuMat_<_Tp>& m); template<typename _Tp> _OutputArray(cudev::GpuMat_<_Tp>& m);
template<typename _Tp> _OutputArray(std::vector<_Tp>& vec); template<typename _Tp> _OutputArray(std::vector<_Tp>& vec);
template<typename _Tp> _OutputArray(std::vector<std::vector<_Tp> >& vec); template<typename _Tp> _OutputArray(std::vector<std::vector<_Tp> >& vec);
@ -292,7 +292,7 @@ public:
_OutputArray(const std::vector<Mat>& vec); _OutputArray(const std::vector<Mat>& vec);
_OutputArray(const cuda::GpuMat& d_mat); _OutputArray(const cuda::GpuMat& d_mat);
_OutputArray(const ogl::Buffer& buf); _OutputArray(const ogl::Buffer& buf);
_OutputArray(const cuda::CudaMem& cuda_mem); _OutputArray(const cuda::HostMem& cuda_mem);
template<typename _Tp> _OutputArray(const cudev::GpuMat_<_Tp>& m); template<typename _Tp> _OutputArray(const cudev::GpuMat_<_Tp>& m);
template<typename _Tp> _OutputArray(const std::vector<_Tp>& vec); template<typename _Tp> _OutputArray(const std::vector<_Tp>& vec);
template<typename _Tp> _OutputArray(const std::vector<std::vector<_Tp> >& vec); template<typename _Tp> _OutputArray(const std::vector<std::vector<_Tp> >& vec);
@ -310,7 +310,7 @@ public:
virtual UMat& getUMatRef(int i=-1) const; virtual UMat& getUMatRef(int i=-1) const;
virtual cuda::GpuMat& getGpuMatRef() const; virtual cuda::GpuMat& getGpuMatRef() const;
virtual ogl::Buffer& getOGlBufferRef() const; virtual ogl::Buffer& getOGlBufferRef() const;
virtual cuda::CudaMem& getCudaMemRef() const; virtual cuda::HostMem& getHostMemRef() const;
virtual void create(Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const; virtual void create(Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
virtual void create(int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const; virtual void create(int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
virtual void create(int dims, const int* size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const; virtual void create(int dims, const int* size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
@ -333,7 +333,7 @@ public:
_InputOutputArray(std::vector<Mat>& vec); _InputOutputArray(std::vector<Mat>& vec);
_InputOutputArray(cuda::GpuMat& d_mat); _InputOutputArray(cuda::GpuMat& d_mat);
_InputOutputArray(ogl::Buffer& buf); _InputOutputArray(ogl::Buffer& buf);
_InputOutputArray(cuda::CudaMem& cuda_mem); _InputOutputArray(cuda::HostMem& cuda_mem);
template<typename _Tp> _InputOutputArray(cudev::GpuMat_<_Tp>& m); template<typename _Tp> _InputOutputArray(cudev::GpuMat_<_Tp>& m);
template<typename _Tp> _InputOutputArray(std::vector<_Tp>& vec); template<typename _Tp> _InputOutputArray(std::vector<_Tp>& vec);
template<typename _Tp> _InputOutputArray(std::vector<std::vector<_Tp> >& vec); template<typename _Tp> _InputOutputArray(std::vector<std::vector<_Tp> >& vec);
@ -348,7 +348,7 @@ public:
_InputOutputArray(const std::vector<Mat>& vec); _InputOutputArray(const std::vector<Mat>& vec);
_InputOutputArray(const cuda::GpuMat& d_mat); _InputOutputArray(const cuda::GpuMat& d_mat);
_InputOutputArray(const ogl::Buffer& buf); _InputOutputArray(const ogl::Buffer& buf);
_InputOutputArray(const cuda::CudaMem& cuda_mem); _InputOutputArray(const cuda::HostMem& cuda_mem);
template<typename _Tp> _InputOutputArray(const cudev::GpuMat_<_Tp>& m); template<typename _Tp> _InputOutputArray(const cudev::GpuMat_<_Tp>& m);
template<typename _Tp> _InputOutputArray(const std::vector<_Tp>& vec); template<typename _Tp> _InputOutputArray(const std::vector<_Tp>& vec);
template<typename _Tp> _InputOutputArray(const std::vector<std::vector<_Tp> >& vec); template<typename _Tp> _InputOutputArray(const std::vector<std::vector<_Tp> >& vec);

30
modules/core/include/opencv2/core/mat.inl.hpp
View File

@ -100,13 +100,13 @@ inline _InputArray::_InputArray(const MatExpr& expr)
{ init(FIXED_TYPE + FIXED_SIZE + EXPR + ACCESS_READ, &expr); } { init(FIXED_TYPE + FIXED_SIZE + EXPR + ACCESS_READ, &expr); }
inline _InputArray::_InputArray(const cuda::GpuMat& d_mat) inline _InputArray::_InputArray(const cuda::GpuMat& d_mat)
{ init(GPU_MAT + ACCESS_READ, &d_mat); } { init(CUDA_GPU_MAT + ACCESS_READ, &d_mat); }
inline _InputArray::_InputArray(const ogl::Buffer& buf) inline _InputArray::_InputArray(const ogl::Buffer& buf)
{ init(OPENGL_BUFFER + ACCESS_READ, &buf); } { init(OPENGL_BUFFER + ACCESS_READ, &buf); }
inline _InputArray::_InputArray(const cuda::CudaMem& cuda_mem) inline _InputArray::_InputArray(const cuda::HostMem& cuda_mem)
{ init(CUDA_MEM + ACCESS_READ, &cuda_mem); } { init(CUDA_HOST_MEM + ACCESS_READ, &cuda_mem); }
inline _InputArray::~_InputArray() {} inline _InputArray::~_InputArray() {}
@ -174,13 +174,13 @@ _OutputArray::_OutputArray(const _Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_WRITE, vec, Size(n, 1)); } { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_WRITE, vec, Size(n, 1)); }
inline _OutputArray::_OutputArray(cuda::GpuMat& d_mat) inline _OutputArray::_OutputArray(cuda::GpuMat& d_mat)
{ init(GPU_MAT + ACCESS_WRITE, &d_mat); } { init(CUDA_GPU_MAT + ACCESS_WRITE, &d_mat); }
inline _OutputArray::_OutputArray(ogl::Buffer& buf) inline _OutputArray::_OutputArray(ogl::Buffer& buf)
{ init(OPENGL_BUFFER + ACCESS_WRITE, &buf); } { init(OPENGL_BUFFER + ACCESS_WRITE, &buf); }
inline _OutputArray::_OutputArray(cuda::CudaMem& cuda_mem) inline _OutputArray::_OutputArray(cuda::HostMem& cuda_mem)
{ init(CUDA_MEM + ACCESS_WRITE, &cuda_mem); } { init(CUDA_HOST_MEM + ACCESS_WRITE, &cuda_mem); }
inline _OutputArray::_OutputArray(const Mat& m) inline _OutputArray::_OutputArray(const Mat& m)
{ init(FIXED_TYPE + FIXED_SIZE + MAT + ACCESS_WRITE, &m); } { init(FIXED_TYPE + FIXED_SIZE + MAT + ACCESS_WRITE, &m); }
@ -195,13 +195,13 @@ inline _OutputArray::_OutputArray(const std::vector<UMat>& vec)
{ init(FIXED_SIZE + STD_VECTOR_UMAT + ACCESS_WRITE, &vec); } { init(FIXED_SIZE + STD_VECTOR_UMAT + ACCESS_WRITE, &vec); }
inline _OutputArray::_OutputArray(const cuda::GpuMat& d_mat) inline _OutputArray::_OutputArray(const cuda::GpuMat& d_mat)
{ init(FIXED_TYPE + FIXED_SIZE + GPU_MAT + ACCESS_WRITE, &d_mat); } { init(FIXED_TYPE + FIXED_SIZE + CUDA_GPU_MAT + ACCESS_WRITE, &d_mat); }
inline _OutputArray::_OutputArray(const ogl::Buffer& buf) inline _OutputArray::_OutputArray(const ogl::Buffer& buf)
{ init(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER + ACCESS_WRITE, &buf); } { init(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER + ACCESS_WRITE, &buf); }
inline _OutputArray::_OutputArray(const cuda::CudaMem& cuda_mem) inline _OutputArray::_OutputArray(const cuda::HostMem& cuda_mem)
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_MEM + ACCESS_WRITE, &cuda_mem); } { init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_WRITE, &cuda_mem); }
/////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////
@ -261,13 +261,13 @@ _InputOutputArray::_InputOutputArray(const _Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_RW, vec, Size(n, 1)); } { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_RW, vec, Size(n, 1)); }
inline _InputOutputArray::_InputOutputArray(cuda::GpuMat& d_mat) inline _InputOutputArray::_InputOutputArray(cuda::GpuMat& d_mat)
{ init(GPU_MAT + ACCESS_RW, &d_mat); } { init(CUDA_GPU_MAT + ACCESS_RW, &d_mat); }
inline _InputOutputArray::_InputOutputArray(ogl::Buffer& buf) inline _InputOutputArray::_InputOutputArray(ogl::Buffer& buf)
{ init(OPENGL_BUFFER + ACCESS_RW, &buf); } { init(OPENGL_BUFFER + ACCESS_RW, &buf); }
inline _InputOutputArray::_InputOutputArray(cuda::CudaMem& cuda_mem) inline _InputOutputArray::_InputOutputArray(cuda::HostMem& cuda_mem)
{ init(CUDA_MEM + ACCESS_RW, &cuda_mem); } { init(CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
inline _InputOutputArray::_InputOutputArray(const Mat& m) inline _InputOutputArray::_InputOutputArray(const Mat& m)
{ init(FIXED_TYPE + FIXED_SIZE + MAT + ACCESS_RW, &m); } { init(FIXED_TYPE + FIXED_SIZE + MAT + ACCESS_RW, &m); }
@ -282,13 +282,13 @@ inline _InputOutputArray::_InputOutputArray(const std::vector<UMat>& vec)
{ init(FIXED_SIZE + STD_VECTOR_UMAT + ACCESS_RW, &vec); } { init(FIXED_SIZE + STD_VECTOR_UMAT + ACCESS_RW, &vec); }
inline _InputOutputArray::_InputOutputArray(const cuda::GpuMat& d_mat) inline _InputOutputArray::_InputOutputArray(const cuda::GpuMat& d_mat)
{ init(FIXED_TYPE + FIXED_SIZE + GPU_MAT + ACCESS_RW, &d_mat); } { init(FIXED_TYPE + FIXED_SIZE + CUDA_GPU_MAT + ACCESS_RW, &d_mat); }
inline _InputOutputArray::_InputOutputArray(const ogl::Buffer& buf) inline _InputOutputArray::_InputOutputArray(const ogl::Buffer& buf)
{ init(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER + ACCESS_RW, &buf); } { init(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER + ACCESS_RW, &buf); }
inline _InputOutputArray::_InputOutputArray(const cuda::CudaMem& cuda_mem) inline _InputOutputArray::_InputOutputArray(const cuda::HostMem& cuda_mem)
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_MEM + ACCESS_RW, &cuda_mem); } { init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
//////////////////////////////////////////// Mat ////////////////////////////////////////// //////////////////////////////////////////// Mat //////////////////////////////////////////

12
modules/core/src/cuda_gpu_mat.cpp
View File

@ -275,12 +275,12 @@ void cv::cuda::createContinuous(int rows, int cols, int type, OutputArray arr)
::createContinuousImpl(rows, cols, type, arr.getMatRef()); ::createContinuousImpl(rows, cols, type, arr.getMatRef());
break; break;
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
::createContinuousImpl(rows, cols, type, arr.getGpuMatRef()); ::createContinuousImpl(rows, cols, type, arr.getGpuMatRef());
break; break;
case _InputArray::CUDA_MEM: case _InputArray::CUDA_HOST_MEM:
::createContinuousImpl(rows, cols, type, arr.getCudaMemRef()); ::createContinuousImpl(rows, cols, type, arr.getHostMemRef());
break; break;
default: default:
@ -329,12 +329,12 @@ void cv::cuda::ensureSizeIsEnough(int rows, int cols, int type, OutputArray arr)
::ensureSizeIsEnoughImpl(rows, cols, type, arr.getMatRef()); ::ensureSizeIsEnoughImpl(rows, cols, type, arr.getMatRef());
break; break;
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
::ensureSizeIsEnoughImpl(rows, cols, type, arr.getGpuMatRef()); ::ensureSizeIsEnoughImpl(rows, cols, type, arr.getGpuMatRef());
break; break;
case _InputArray::CUDA_MEM: case _InputArray::CUDA_HOST_MEM:
::ensureSizeIsEnoughImpl(rows, cols, type, arr.getCudaMemRef()); ::ensureSizeIsEnoughImpl(rows, cols, type, arr.getHostMemRef());
break; break;
default: default:

10
modules/core/src/cuda_host_mem.cpp
View File

@ -59,7 +59,7 @@ namespace
} }
#endif #endif
void cv::cuda::CudaMem::create(int rows_, int cols_, int type_) void cv::cuda::HostMem::create(int rows_, int cols_, int type_)
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
(void) rows_; (void) rows_;
@ -123,9 +123,9 @@ void cv::cuda::CudaMem::create(int rows_, int cols_, int type_)
#endif #endif
} }
CudaMem cv::cuda::CudaMem::reshape(int new_cn, int new_rows) const HostMem cv::cuda::HostMem::reshape(int new_cn, int new_rows) const
{ {
CudaMem hdr = *this; HostMem hdr = *this;
int cn = channels(); int cn = channels();
if (new_cn == 0) if (new_cn == 0)
@ -166,7 +166,7 @@ CudaMem cv::cuda::CudaMem::reshape(int new_cn, int new_rows) const
return hdr; return hdr;
} }
void cv::cuda::CudaMem::release() void cv::cuda::HostMem::release()
{ {
#ifdef HAVE_CUDA #ifdef HAVE_CUDA
if (refcount && CV_XADD(refcount, -1) == 1) if (refcount && CV_XADD(refcount, -1) == 1)
@ -181,7 +181,7 @@ void cv::cuda::CudaMem::release()
#endif #endif
} }
GpuMat cv::cuda::CudaMem::createGpuMatHeader() const GpuMat cv::cuda::HostMem::createGpuMatHeader() const
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
throw_no_cuda(); throw_no_cuda();

86
modules/core/src/matrix.cpp
View File

@ -1187,18 +1187,18 @@ Mat _InputArray::getMat(int i) const
return Mat(); return Mat();
} }
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
CV_Error(cv::Error::StsNotImplemented, "You should explicitly call download method for cuda::GpuMat object"); CV_Error(cv::Error::StsNotImplemented, "You should explicitly call download method for cuda::GpuMat object");
return Mat(); return Mat();
} }
if( k == CUDA_MEM ) if( k == CUDA_HOST_MEM )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
const cuda::CudaMem* cuda_mem = (const cuda::CudaMem*)obj; const cuda::HostMem* cuda_mem = (const cuda::HostMem*)obj;
return cuda_mem->createMatHeader(); return cuda_mem->createMatHeader();
} }
@ -1391,15 +1391,15 @@ cuda::GpuMat _InputArray::getGpuMat() const
{ {
int k = kind(); int k = kind();
if (k == GPU_MAT) if (k == CUDA_GPU_MAT)
{ {
const cuda::GpuMat* d_mat = (const cuda::GpuMat*)obj; const cuda::GpuMat* d_mat = (const cuda::GpuMat*)obj;
return *d_mat; return *d_mat;
} }
if (k == CUDA_MEM) if (k == CUDA_HOST_MEM)
{ {
const cuda::CudaMem* cuda_mem = (const cuda::CudaMem*)obj; const cuda::HostMem* cuda_mem = (const cuda::HostMem*)obj;
return cuda_mem->createGpuMatHeader(); return cuda_mem->createGpuMatHeader();
} }
@ -1412,7 +1412,7 @@ cuda::GpuMat _InputArray::getGpuMat() const
if (k == NONE) if (k == NONE)
return cuda::GpuMat(); return cuda::GpuMat();
CV_Error(cv::Error::StsNotImplemented, "getGpuMat is available only for cuda::GpuMat and cuda::CudaMem"); CV_Error(cv::Error::StsNotImplemented, "getGpuMat is available only for cuda::GpuMat and cuda::HostMem");
return cuda::GpuMat(); return cuda::GpuMat();
} }
@ -1520,18 +1520,18 @@ Size _InputArray::size(int i) const
return buf->size(); return buf->size();
} }
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
const cuda::GpuMat* d_mat = (const cuda::GpuMat*)obj; const cuda::GpuMat* d_mat = (const cuda::GpuMat*)obj;
return d_mat->size(); return d_mat->size();
} }
CV_Assert( k == CUDA_MEM ); CV_Assert( k == CUDA_HOST_MEM );
//if( k == CUDA_MEM ) //if( k == CUDA_HOST_MEM )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
const cuda::CudaMem* cuda_mem = (const cuda::CudaMem*)obj; const cuda::HostMem* cuda_mem = (const cuda::HostMem*)obj;
return cuda_mem->size(); return cuda_mem->size();
} }
} }
@ -1700,14 +1700,14 @@ int _InputArray::dims(int i) const
return 2; return 2;
} }
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
return 2; return 2;
} }
CV_Assert( k == CUDA_MEM ); CV_Assert( k == CUDA_HOST_MEM );
//if( k == CUDA_MEM ) //if( k == CUDA_HOST_MEM )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
return 2; return 2;
@ -1799,12 +1799,12 @@ int _InputArray::type(int i) const
if( k == OPENGL_BUFFER ) if( k == OPENGL_BUFFER )
return ((const ogl::Buffer*)obj)->type(); return ((const ogl::Buffer*)obj)->type();
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
return ((const cuda::GpuMat*)obj)->type(); return ((const cuda::GpuMat*)obj)->type();
CV_Assert( k == CUDA_MEM ); CV_Assert( k == CUDA_HOST_MEM );
//if( k == CUDA_MEM ) //if( k == CUDA_HOST_MEM )
return ((const cuda::CudaMem*)obj)->type(); return ((const cuda::HostMem*)obj)->type();
} }
int _InputArray::depth(int i) const int _InputArray::depth(int i) const
@ -1863,12 +1863,12 @@ bool _InputArray::empty() const
if( k == OPENGL_BUFFER ) if( k == OPENGL_BUFFER )
return ((const ogl::Buffer*)obj)->empty(); return ((const ogl::Buffer*)obj)->empty();
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
return ((const cuda::GpuMat*)obj)->empty(); return ((const cuda::GpuMat*)obj)->empty();
CV_Assert( k == CUDA_MEM ); CV_Assert( k == CUDA_HOST_MEM );
//if( k == CUDA_MEM ) //if( k == CUDA_HOST_MEM )
return ((const cuda::CudaMem*)obj)->empty(); return ((const cuda::HostMem*)obj)->empty();
} }
bool _InputArray::isContinuous(int i) const bool _InputArray::isContinuous(int i) const
@ -1970,7 +1970,7 @@ size_t _InputArray::offset(int i) const
return vv[i].offset; return vv[i].offset;
} }
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
const cuda::GpuMat * const m = ((const cuda::GpuMat*)obj); const cuda::GpuMat * const m = ((const cuda::GpuMat*)obj);
@ -2016,7 +2016,7 @@ size_t _InputArray::step(int i) const
return vv[i].step; return vv[i].step;
} }
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
{ {
CV_Assert( i < 0 ); CV_Assert( i < 0 );
return ((const cuda::GpuMat*)obj)->step; return ((const cuda::GpuMat*)obj)->step;
@ -2095,7 +2095,7 @@ void _OutputArray::create(Size _sz, int mtype, int i, bool allowTransposed, int
((UMat*)obj)->create(_sz, mtype); ((UMat*)obj)->create(_sz, mtype);
return; return;
} }
if( k == GPU_MAT && i < 0 && !allowTransposed && fixedDepthMask == 0 ) if( k == CUDA_GPU_MAT && i < 0 && !allowTransposed && fixedDepthMask == 0 )
{ {
CV_Assert(!fixedSize() || ((cuda::GpuMat*)obj)->size() == _sz); CV_Assert(!fixedSize() || ((cuda::GpuMat*)obj)->size() == _sz);
CV_Assert(!fixedType() || ((cuda::GpuMat*)obj)->type() == mtype); CV_Assert(!fixedType() || ((cuda::GpuMat*)obj)->type() == mtype);
@ -2109,11 +2109,11 @@ void _OutputArray::create(Size _sz, int mtype, int i, bool allowTransposed, int
((ogl::Buffer*)obj)->create(_sz, mtype); ((ogl::Buffer*)obj)->create(_sz, mtype);
return; return;
} }
if( k == CUDA_MEM && i < 0 && !allowTransposed && fixedDepthMask == 0 ) if( k == CUDA_HOST_MEM && i < 0 && !allowTransposed && fixedDepthMask == 0 )
{ {
CV_Assert(!fixedSize() || ((cuda::CudaMem*)obj)->size() == _sz); CV_Assert(!fixedSize() || ((cuda::HostMem*)obj)->size() == _sz);
CV_Assert(!fixedType() || ((cuda::CudaMem*)obj)->type() == mtype); CV_Assert(!fixedType() || ((cuda::HostMem*)obj)->type() == mtype);
((cuda::CudaMem*)obj)->create(_sz, mtype); ((cuda::HostMem*)obj)->create(_sz, mtype);
return; return;
} }
int sizes[] = {_sz.height, _sz.width}; int sizes[] = {_sz.height, _sz.width};
@ -2137,7 +2137,7 @@ void _OutputArray::create(int _rows, int _cols, int mtype, int i, bool allowTran
((UMat*)obj)->create(_rows, _cols, mtype); ((UMat*)obj)->create(_rows, _cols, mtype);
return; return;
} }
if( k == GPU_MAT && i < 0 && !allowTransposed && fixedDepthMask == 0 ) if( k == CUDA_GPU_MAT && i < 0 && !allowTransposed && fixedDepthMask == 0 )
{ {
CV_Assert(!fixedSize() || ((cuda::GpuMat*)obj)->size() == Size(_cols, _rows)); CV_Assert(!fixedSize() || ((cuda::GpuMat*)obj)->size() == Size(_cols, _rows));
CV_Assert(!fixedType() || ((cuda::GpuMat*)obj)->type() == mtype); CV_Assert(!fixedType() || ((cuda::GpuMat*)obj)->type() == mtype);
@ -2151,11 +2151,11 @@ void _OutputArray::create(int _rows, int _cols, int mtype, int i, bool allowTran
((ogl::Buffer*)obj)->create(_rows, _cols, mtype); ((ogl::Buffer*)obj)->create(_rows, _cols, mtype);
return; return;
} }
if( k == CUDA_MEM && i < 0 && !allowTransposed && fixedDepthMask == 0 ) if( k == CUDA_HOST_MEM && i < 0 && !allowTransposed && fixedDepthMask == 0 )
{ {
CV_Assert(!fixedSize() || ((cuda::CudaMem*)obj)->size() == Size(_cols, _rows)); CV_Assert(!fixedSize() || ((cuda::HostMem*)obj)->size() == Size(_cols, _rows));
CV_Assert(!fixedType() || ((cuda::CudaMem*)obj)->type() == mtype); CV_Assert(!fixedType() || ((cuda::HostMem*)obj)->type() == mtype);
((cuda::CudaMem*)obj)->create(_rows, _cols, mtype); ((cuda::HostMem*)obj)->create(_rows, _cols, mtype);
return; return;
} }
int sizes[] = {_rows, _cols}; int sizes[] = {_rows, _cols};
@ -2479,15 +2479,15 @@ void _OutputArray::release() const
return; return;
} }
if( k == GPU_MAT ) if( k == CUDA_GPU_MAT )
{ {
((cuda::GpuMat*)obj)->release(); ((cuda::GpuMat*)obj)->release();
return; return;
} }
if( k == CUDA_MEM ) if( k == CUDA_HOST_MEM )
{ {
((cuda::CudaMem*)obj)->release(); ((cuda::HostMem*)obj)->release();
return; return;
} }
@ -2583,7 +2583,7 @@ UMat& _OutputArray::getUMatRef(int i) const
cuda::GpuMat& _OutputArray::getGpuMatRef() const cuda::GpuMat& _OutputArray::getGpuMatRef() const
{ {
int k = kind(); int k = kind();
CV_Assert( k == GPU_MAT ); CV_Assert( k == CUDA_GPU_MAT );
return *(cuda::GpuMat*)obj; return *(cuda::GpuMat*)obj;
} }
@ -2594,11 +2594,11 @@ ogl::Buffer& _OutputArray::getOGlBufferRef() const
return *(ogl::Buffer*)obj; return *(ogl::Buffer*)obj;
} }
cuda::CudaMem& _OutputArray::getCudaMemRef() const cuda::HostMem& _OutputArray::getHostMemRef() const
{ {
int k = kind(); int k = kind();
CV_Assert( k == CUDA_MEM ); CV_Assert( k == CUDA_HOST_MEM );
return *(cuda::CudaMem*)obj; return *(cuda::HostMem*)obj;
} }
void _OutputArray::setTo(const _InputArray& arr, const _InputArray & mask) const void _OutputArray::setTo(const _InputArray& arr, const _InputArray & mask) const
@ -2614,10 +2614,10 @@ void _OutputArray::setTo(const _InputArray& arr, const _InputArray & mask) const
} }
else if( k == UMAT ) else if( k == UMAT )
((UMat*)obj)->setTo(arr, mask); ((UMat*)obj)->setTo(arr, mask);
else if( k == GPU_MAT ) else if( k == CUDA_GPU_MAT )
{ {
Mat value = arr.getMat(); Mat value = arr.getMat();
CV_Assert( checkScalar(value, type(), arr.kind(), _InputArray::GPU_MAT) ); CV_Assert( checkScalar(value, type(), arr.kind(), _InputArray::CUDA_GPU_MAT) );
((cuda::GpuMat*)obj)->setTo(Scalar(Vec<double, 4>(value.ptr<double>())), mask); ((cuda::GpuMat*)obj)->setTo(Scalar(Vec<double, 4>(value.ptr<double>())), mask);
} }
else else

12
modules/core/src/opengl.cpp
View File

@ -509,7 +509,7 @@ cv::ogl::Buffer::Buffer(InputArray arr, Target target, bool autoRelease) : rows_
switch (kind) switch (kind)
{ {
case _InputArray::OPENGL_BUFFER: case _InputArray::OPENGL_BUFFER:
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
copyFrom(arr, target, autoRelease); copyFrom(arr, target, autoRelease);
break; break;
@ -594,7 +594,7 @@ void cv::ogl::Buffer::copyFrom(InputArray arr, Target target, bool autoRelease)
break; break;
} }
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
throw_no_cuda(); throw_no_cuda();
@ -657,7 +657,7 @@ void cv::ogl::Buffer::copyTo(OutputArray arr) const
break; break;
} }
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
throw_no_cuda(); throw_no_cuda();
@ -1018,7 +1018,7 @@ cv::ogl::Texture2D::Texture2D(InputArray arr, bool autoRelease) : rows_(0), cols
break; break;
} }
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
throw_no_cuda(); throw_no_cuda();
@ -1132,7 +1132,7 @@ void cv::ogl::Texture2D::copyFrom(InputArray arr, bool autoRelease)
break; break;
} }
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
throw_no_cuda(); throw_no_cuda();
@ -1184,7 +1184,7 @@ void cv::ogl::Texture2D::copyTo(OutputArray arr, int ddepth, bool autoRelease) c
break; break;
} }
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
{ {
#ifndef HAVE_CUDA #ifndef HAVE_CUDA
throw_no_cuda(); throw_no_cuda();

14
modules/cuda/test/test_stream.cpp
View File

@ -52,10 +52,10 @@ using namespace cvtest;
struct Async : testing::TestWithParam<cv::cuda::DeviceInfo> struct Async : testing::TestWithParam<cv::cuda::DeviceInfo>
{ {
cv::cuda::CudaMem src; cv::cuda::HostMem src;
cv::cuda::GpuMat d_src; cv::cuda::GpuMat d_src;
cv::cuda::CudaMem dst; cv::cuda::HostMem dst;
cv::cuda::GpuMat d_dst; cv::cuda::GpuMat d_dst;
virtual void SetUp() virtual void SetUp()
@ -63,7 +63,7 @@ struct Async : testing::TestWithParam<cv::cuda::DeviceInfo>
cv::cuda::DeviceInfo devInfo = GetParam(); cv::cuda::DeviceInfo devInfo = GetParam();
cv::cuda::setDevice(devInfo.deviceID()); cv::cuda::setDevice(devInfo.deviceID());
src = cv::cuda::CudaMem(cv::cuda::CudaMem::PAGE_LOCKED); src = cv::cuda::HostMem(cv::cuda::HostMem::PAGE_LOCKED);
cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1); cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1);
m.copyTo(src); m.copyTo(src);
@ -76,8 +76,8 @@ void checkMemSet(int status, void* userData)
Async* test = reinterpret_cast<Async*>(userData); Async* test = reinterpret_cast<Async*>(userData);
cv::cuda::CudaMem src = test->src; cv::cuda::HostMem src = test->src;
cv::cuda::CudaMem dst = test->dst; cv::cuda::HostMem dst = test->dst;
cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type()); cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type());
@ -105,8 +105,8 @@ void checkConvert(int status, void* userData)
Async* test = reinterpret_cast<Async*>(userData); Async* test = reinterpret_cast<Async*>(userData);
cv::cuda::CudaMem src = test->src; cv::cuda::HostMem src = test->src;
cv::cuda::CudaMem dst = test->dst; cv::cuda::HostMem dst = test->dst;
cv::Mat dst_gold; cv::Mat dst_gold;
src.createMatHeader().convertTo(dst_gold, CV_32S); src.createMatHeader().convertTo(dst_gold, CV_32S);

2
modules/cudaarithm/src/cuda/lut.cu
View File

@ -74,7 +74,7 @@ namespace
LookUpTableImpl::LookUpTableImpl(InputArray _lut) LookUpTableImpl::LookUpTableImpl(InputArray _lut)
{ {
if (_lut.kind() == _InputArray::GPU_MAT) if (_lut.kind() == _InputArray::CUDA_GPU_MAT)
{ {
d_lut = _lut.getGpuMat(); d_lut = _lut.getGpuMat();
} }

4
modules/cudaimgproc/src/histogram.cpp
View File

@ -467,14 +467,14 @@ void cv::cuda::evenLevels(OutputArray _levels, int nLevels, int lowerLevel, int
_levels.create(1, nLevels, CV_32SC1); _levels.create(1, nLevels, CV_32SC1);
Mat host_levels; Mat host_levels;
if (kind == _InputArray::GPU_MAT) if (kind == _InputArray::CUDA_GPU_MAT)
host_levels.create(1, nLevels, CV_32SC1); host_levels.create(1, nLevels, CV_32SC1);
else else
host_levels = _levels.getMat(); host_levels = _levels.getMat();
nppSafeCall( nppiEvenLevelsHost_32s(host_levels.ptr<Npp32s>(), nLevels, lowerLevel, upperLevel) ); nppSafeCall( nppiEvenLevelsHost_32s(host_levels.ptr<Npp32s>(), nLevels, lowerLevel, upperLevel) );
if (kind == _InputArray::GPU_MAT) if (kind == _InputArray::CUDA_GPU_MAT)
_levels.getGpuMatRef().upload(host_levels); _levels.getGpuMatRef().upload(host_levels);
} }

2
modules/cudev/include/opencv2/cudev/ptr2d/detail/gpumat.hpp
View File

@ -341,7 +341,7 @@ namespace cv {
template<typename _Tp> template<typename _Tp>
__host__ _InputArray::_InputArray(const cudev::GpuMat_<_Tp>& m) __host__ _InputArray::_InputArray(const cudev::GpuMat_<_Tp>& m)
: flags(FIXED_TYPE + GPU_MAT + DataType<_Tp>::type), obj((void*)&m) : flags(FIXED_TYPE + CUDA_GPU_MAT + DataType<_Tp>::type), obj((void*)&m)
{} {}
template<typename _Tp> template<typename _Tp>

2
modules/highgui/src/window.cpp
View File

@ -297,7 +297,7 @@ void cv::imshow( const String& winname, InputArray _img )
cv::ogl::Texture2D& tex = ownWndTexs[winname]; cv::ogl::Texture2D& tex = ownWndTexs[winname];
if (_img.kind() == _InputArray::GPU_MAT) if (_img.kind() == _InputArray::CUDA_GPU_MAT)
{ {
cv::ogl::Buffer& buf = ownWndBufs[winname]; cv::ogl::Buffer& buf = ownWndBufs[winname];
buf.copyFrom(_img); buf.copyFrom(_img);

2
modules/superres/src/btv_l1_cuda.cpp
View File

@ -514,7 +514,7 @@ namespace
++outPos_; ++outPos_;
const GpuMat& curOutput = at(outPos_, outputs_); const GpuMat& curOutput = at(outPos_, outputs_);
if (_output.kind() == _InputArray::GPU_MAT) if (_output.kind() == _InputArray::CUDA_GPU_MAT)
curOutput.convertTo(_output.getGpuMatRef(), CV_8U); curOutput.convertTo(_output.getGpuMatRef(), CV_8U);
else else
{ {

4
modules/superres/src/frame_source.cpp
View File

@ -116,7 +116,7 @@ namespace
{ {
if (_frame.kind() == _InputArray::MAT) if (_frame.kind() == _InputArray::MAT)
vc_ >> _frame.getMatRef(); vc_ >> _frame.getMatRef();
else if(_frame.kind() == _InputArray::GPU_MAT) else if(_frame.kind() == _InputArray::CUDA_GPU_MAT)
{ {
vc_ >> frame_; vc_ >> frame_;
arrCopy(frame_, _frame); arrCopy(frame_, _frame);
@ -226,7 +226,7 @@ namespace
void VideoFrameSource_CUDA::nextFrame(OutputArray _frame) void VideoFrameSource_CUDA::nextFrame(OutputArray _frame)
{ {
if (_frame.kind() == _InputArray::GPU_MAT) if (_frame.kind() == _InputArray::CUDA_GPU_MAT)
{ {
bool res = reader_->nextFrame(_frame.getGpuMatRef()); bool res = reader_->nextFrame(_frame.getGpuMatRef());
if (!res) if (!res)

10
modules/superres/src/input_array_utility.cpp
View File

@ -49,7 +49,7 @@ Mat cv::superres::arrGetMat(InputArray arr, Mat& buf)
{ {
switch (arr.kind()) switch (arr.kind())
{ {
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
arr.getGpuMat().download(buf); arr.getGpuMat().download(buf);
return buf; return buf;
@ -66,7 +66,7 @@ UMat cv::superres::arrGetUMat(InputArray arr, UMat& buf)
{ {
switch (arr.kind()) switch (arr.kind())
{ {
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
arr.getGpuMat().download(buf); arr.getGpuMat().download(buf);
return buf; return buf;
@ -83,7 +83,7 @@ GpuMat cv::superres::arrGetGpuMat(InputArray arr, GpuMat& buf)
{ {
switch (arr.kind()) switch (arr.kind())
{ {
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
return arr.getGpuMat(); return arr.getGpuMat();
case _InputArray::OPENGL_BUFFER: case _InputArray::OPENGL_BUFFER:
@ -184,7 +184,7 @@ namespace
switch (src.kind()) switch (src.kind())
{ {
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
#ifdef HAVE_OPENCV_CUDAIMGPROC #ifdef HAVE_OPENCV_CUDAIMGPROC
cuda::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn); cuda::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn);
#else #else
@ -218,7 +218,7 @@ namespace
switch (src.kind()) switch (src.kind())
{ {
case _InputArray::GPU_MAT: case _InputArray::CUDA_GPU_MAT:
src.getGpuMat().convertTo(dst.getGpuMatRef(), depth, scale); src.getGpuMat().convertTo(dst.getGpuMatRef(), depth, scale);
break; break;

2
modules/superres/src/optical_flow.cpp
View File

@ -458,7 +458,7 @@ namespace
GpuMat input0 = convertToType(frame0, work_type_, buf_[2], buf_[3]); GpuMat input0 = convertToType(frame0, work_type_, buf_[2], buf_[3]);
GpuMat input1 = convertToType(frame1, work_type_, buf_[4], buf_[5]); GpuMat input1 = convertToType(frame1, work_type_, buf_[4], buf_[5]);
if (_flow2.needed() && _flow1.kind() == _InputArray::GPU_MAT && _flow2.kind() == _InputArray::GPU_MAT) if (_flow2.needed() && _flow1.kind() == _InputArray::CUDA_GPU_MAT && _flow2.kind() == _InputArray::CUDA_GPU_MAT)
{ {
impl(input0, input1, _flow1.getGpuMatRef(), _flow2.getGpuMatRef()); impl(input0, input1, _flow1.getGpuMatRef(), _flow2.getGpuMatRef());
return; return;

2
modules/ts/src/cuda_test.cpp
View File

@ -278,7 +278,7 @@ namespace cvtest
Mat getMat(InputArray arr) Mat getMat(InputArray arr)
{ {
if (arr.kind() == _InputArray::GPU_MAT) if (arr.kind() == _InputArray::CUDA_GPU_MAT)
{ {
Mat m; Mat m;
arr.getGpuMat().download(m); arr.getGpuMat().download(m);

8
samples/gpu/stereo_multi.cpp
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@ -278,7 +278,7 @@ public:
StereoMultiGpuStream(); StereoMultiGpuStream();
~StereoMultiGpuStream(); ~StereoMultiGpuStream();
void compute(const CudaMem& leftFrame, const CudaMem& rightFrame, CudaMem& disparity); void compute(const HostMem& leftFrame, const HostMem& rightFrame, HostMem& disparity);
private: private:
GpuMat d_leftFrames[2]; GpuMat d_leftFrames[2];
@ -316,7 +316,7 @@ StereoMultiGpuStream::~StereoMultiGpuStream()
streams[1].release(); streams[1].release();
} }
void StereoMultiGpuStream::compute(const CudaMem& leftFrame, const CudaMem& rightFrame, CudaMem& disparity) void StereoMultiGpuStream::compute(const HostMem& leftFrame, const HostMem& rightFrame, HostMem& disparity)
{ {
disparity.create(leftFrame.size(), CV_8UC1); disparity.create(leftFrame.size(), CV_8UC1);
@ -403,7 +403,7 @@ int main(int argc, char** argv)
cout << endl; cout << endl;
Mat leftFrame, rightFrame; Mat leftFrame, rightFrame;
CudaMem leftGrayFrame, rightGrayFrame; HostMem leftGrayFrame, rightGrayFrame;
StereoSingleGpu gpu0Alg(0); StereoSingleGpu gpu0Alg(0);
StereoSingleGpu gpu1Alg(1); StereoSingleGpu gpu1Alg(1);
@ -413,7 +413,7 @@ int main(int argc, char** argv)
Mat disparityGpu0; Mat disparityGpu0;
Mat disparityGpu1; Mat disparityGpu1;
Mat disparityMultiThread; Mat disparityMultiThread;
CudaMem disparityMultiStream; HostMem disparityMultiStream;
Mat disparityGpu0Show; Mat disparityGpu0Show;
Mat disparityGpu1Show; Mat disparityGpu1Show;