/usr/include/opencv2/core/cuda

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#ifndef __OPENCV_CORE_DEVPTRS_HPP__
#define __OPENCV_CORE_DEVPTRS_HPP__

#ifdef __cplusplus

#ifdef __CUDACC__
    #define __CV_GPU_HOST_DEVICE__ __host__ __device__ __forceinline__
#else
    #define __CV_GPU_HOST_DEVICE__
#endif

namespace cv
{
    namespace gpu
    {
        // Simple lightweight structures that encapsulates information about an image on device.
        // It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile

        template <bool expr> struct StaticAssert;
        template <> struct StaticAssert<true> {static __CV_GPU_HOST_DEVICE__ void check(){}};

        template<typename T> struct DevPtr
        {
            typedef T elem_type;
            typedef int index_type;

            enum { elem_size = sizeof(elem_type) };

            T* data;

            __CV_GPU_HOST_DEVICE__ DevPtr() : data(0) {}
            __CV_GPU_HOST_DEVICE__ DevPtr(T* data_) : data(data_) {}

            __CV_GPU_HOST_DEVICE__ size_t elemSize() const { return elem_size; }
            __CV_GPU_HOST_DEVICE__ operator       T*()       { return data; }
            __CV_GPU_HOST_DEVICE__ operator const T*() const { return data; }
        };

        template<typename T> struct PtrSz : public DevPtr<T>
        {
            __CV_GPU_HOST_DEVICE__ PtrSz() : size(0) {}
            __CV_GPU_HOST_DEVICE__ PtrSz(T* data_, size_t size_) : DevPtr<T>(data_), size(size_) {}

            size_t size;
        };

        template<typename T> struct PtrStep : public DevPtr<T>
        {
            __CV_GPU_HOST_DEVICE__ PtrStep() : step(0) {}
            __CV_GPU_HOST_DEVICE__ PtrStep(T* data_, size_t step_) : DevPtr<T>(data_), step(step_) {}

            /** \brief stride between two consecutive rows in bytes. Step is stored always and everywhere in bytes!!! */
            size_t step;

            __CV_GPU_HOST_DEVICE__       T* ptr(int y = 0)       { return (      T*)( (      char*)DevPtr<T>::data + y * step); }
            __CV_GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr<T>::data + y * step); }

            __CV_GPU_HOST_DEVICE__       T& operator ()(int y, int x)       { return ptr(y)[x]; }
            __CV_GPU_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
        };

        template <typename T> struct PtrStepSz : public PtrStep<T>
        {
            __CV_GPU_HOST_DEVICE__ PtrStepSz() : cols(0), rows(0) {}
            __CV_GPU_HOST_DEVICE__ PtrStepSz(int rows_, int cols_, T* data_, size_t step_)
                : PtrStep<T>(data_, step_), cols(cols_), rows(rows_) {}

            template <typename U>
            explicit PtrStepSz(const PtrStepSz<U>& d) : PtrStep<T>((T*)d.data, d.step), cols(d.cols), rows(d.rows){}

            int cols;
            int rows;
        };

        typedef PtrStepSz<unsigned char> PtrStepSzb;
        typedef PtrStepSz<float> PtrStepSzf;
        typedef PtrStepSz<int> PtrStepSzi;

        typedef PtrStep<unsigned char> PtrStepb;
        typedef PtrStep<float> PtrStepf;
        typedef PtrStep<int> PtrStepi;


#if defined __GNUC__
    #define __CV_GPU_DEPR_BEFORE__
    #define __CV_GPU_DEPR_AFTER__ __attribute__ ((deprecated))
#elif defined(__MSVC__) //|| defined(__CUDACC__)
    #pragma deprecated(DevMem2D_)
    #define __CV_GPU_DEPR_BEFORE__ __declspec(deprecated)
    #define __CV_GPU_DEPR_AFTER__
#else
    #define __CV_GPU_DEPR_BEFORE__
    #define __CV_GPU_DEPR_AFTER__
#endif

        template <typename T> struct __CV_GPU_DEPR_BEFORE__ DevMem2D_ : public PtrStepSz<T>
        {
            DevMem2D_() {}
            DevMem2D_(int rows_, int cols_, T* data_, size_t step_) : PtrStepSz<T>(rows_, cols_, data_, step_) {}

            template <typename U>
            explicit __CV_GPU_DEPR_BEFORE__ DevMem2D_(const DevMem2D_<U>& d) : PtrStepSz<T>(d.rows, d.cols, (T*)d.data, d.step) {}
        } __CV_GPU_DEPR_AFTER__ ;

        typedef DevMem2D_<unsigned char> DevMem2Db;
        typedef DevMem2Db DevMem2D;
        typedef DevMem2D_<float> DevMem2Df;
        typedef DevMem2D_<int> DevMem2Di;

        template<typename T> struct PtrElemStep_ : public PtrStep<T>
        {
            PtrElemStep_(const DevMem2D_<T>& mem) : PtrStep<T>(mem.data, mem.step)
            {
                StaticAssert<256 % sizeof(T) == 0>::check();

                PtrStep<T>::step /= PtrStep<T>::elem_size;
            }
            __CV_GPU_HOST_DEVICE__ T* ptr(int y = 0) { return PtrStep<T>::data + y * PtrStep<T>::step; }
            __CV_GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return PtrStep<T>::data + y * PtrStep<T>::step; }

            __CV_GPU_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; }
            __CV_GPU_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
        };

        template<typename T> struct PtrStep_ : public PtrStep<T>
        {
            PtrStep_() {}
            PtrStep_(const DevMem2D_<T>& mem) : PtrStep<T>(mem.data, mem.step) {}
        };

        typedef PtrElemStep_<unsigned char> PtrElemStep;
        typedef PtrElemStep_<float> PtrElemStepf;
        typedef PtrElemStep_<int> PtrElemStepi;

//#undef __CV_GPU_DEPR_BEFORE__
//#undef __CV_GPU_DEPR_AFTER__

        namespace device
        {
            using cv::gpu::PtrSz;
            using cv::gpu::PtrStep;
            using cv::gpu::PtrStepSz;

            using cv::gpu::PtrStepSzb;
            using cv::gpu::PtrStepSzf;
            using cv::gpu::PtrStepSzi;

            using cv::gpu::PtrStepb;
            using cv::gpu::PtrStepf;
            using cv::gpu::PtrStepi;
        }
    }
}

#endif // __cplusplus

#endif /* __OPENCV_CORE_DEVPTRS_HPP__ */
libopencv-core-dev 2.4.9.1+dfsg1-2 / usr / include / opencv2 / core / cuda_devptrs.hpp
