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#pragma once
#ifndef __OPENCV_CUDEV_PTR2D_GLOB_HPP__
#define __OPENCV_CUDEV_PTR2D_GLOB_HPP__
#include "../common.hpp"
#include "traits.hpp"
namespace cv { namespace cudev {
//! @addtogroup cudev
//! @{
/** @brief Structure similar to cv::cudev::GlobPtrSz but containing only a pointer and row step.
Width and height fields are excluded due to performance reasons. The structure is intended
for internal use or for users who write device code.
*/
template <typename T> struct GlobPtr
{
typedef T value_type;
typedef int index_type;
T* data;
//! stride between two consecutive rows in bytes. Step is stored always and everywhere in bytes!!!
size_t step;
__device__ __forceinline__ T* row(int y) { return ( T*)( ( uchar*)data + y * step); }
__device__ __forceinline__ const T* row(int y) const { return (const T*)( (const uchar*)data + y * step); }
__device__ __forceinline__ T& operator ()(int y, int x) { return row(y)[x]; }
__device__ __forceinline__ const T& operator ()(int y, int x) const { return row(y)[x]; }
};
/** @brief Lightweight class encapsulating pitched memory on a GPU and passed to nvcc-compiled code (CUDA
kernels).
Typically, it is used internally by OpenCV and by users who write device code. You can call
its members from both host and device code.
*/
template <typename T> struct GlobPtrSz : GlobPtr<T>
{
int rows, cols;
};
template <typename T>
__host__ __device__ GlobPtr<T> globPtr(T* data, size_t step)
{
GlobPtr<T> p;
p.data = data;
p.step = step;
return p;
}
template <typename T>
__host__ __device__ GlobPtrSz<T> globPtr(T* data, size_t step, int rows, int cols)
{
GlobPtrSz<T> p;
p.data = data;
p.step = step;
p.rows = rows;
p.cols = cols;
return p;
}
template <typename T>
__host__ GlobPtrSz<T> globPtr(const GpuMat& mat)
{
GlobPtrSz<T> p;
p.data = (T*) mat.data;
p.step = mat.step;
p.rows = mat.rows;
p.cols = mat.cols;
return p;
}
template <typename T> struct PtrTraits< GlobPtrSz<T> > : PtrTraitsBase<GlobPtrSz<T>, GlobPtr<T> >
{
};
//! @}
}}
#endif