opencv/modules/core/src/precomp.hpp

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#ifndef __OPENCV_PRECOMP_H__
#define __OPENCV_PRECOMP_H__

#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif

#include "opencv2/core/utility.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/internal.hpp"
#include "opencv2/core/gpumat.hpp"

#include <assert.h>
#include <ctype.h>
#include <float.h>
#include <limits.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#ifdef HAVE_TEGRA_OPTIMIZATION
#include "opencv2/core/core_tegra.hpp"
#else
#define GET_OPTIMIZED(func) (func)
#endif

#ifdef HAVE_CUDA

#  include <cuda_runtime.h>
#  include <npp.h>

#  define CUDART_MINIMUM_REQUIRED_VERSION 4020
#  define NPP_MINIMUM_REQUIRED_VERSION 4200

#  if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
#    error "Insufficient Cuda Runtime library version, please update it."
#  endif

#  if (NPP_VERSION_MAJOR * 1000 + NPP_VERSION_MINOR * 100 + NPP_VERSION_BUILD < NPP_MINIMUM_REQUIRED_VERSION)
#    error "Insufficient NPP version, please update it."
#  endif

#  if defined(__GNUC__)
#    define cudaSafeCall(expr)  ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#  else
#    define cudaSafeCall(expr)  ___cudaSafeCall(expr, __FILE__, __LINE__)
#  endif

static inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
    if (cudaSuccess != err) cv::gpu::error(cudaGetErrorString(err), file, line, func);
}

#else
#  define cudaSafeCall(expr)
#endif //HAVE_CUDA

namespace cv
{

/* default memory block for sparse array elements */
#define  CV_SPARSE_MAT_BLOCK     (1<<12)

/* initial hash table size */
#define  CV_SPARSE_HASH_SIZE0    (1<<10)

/* maximal average node_count/hash_size ratio beyond which hash table is resized */
#define  CV_SPARSE_HASH_RATIO    3



// -128.f ... 255.f
extern const float g_8x32fTab[];
#define CV_8TO32F(x)  cv::g_8x32fTab[(x)+128]

extern const ushort g_8x16uSqrTab[];
#define CV_SQR_8U(x)  cv::g_8x16uSqrTab[(x)+255]

extern const char* g_HersheyGlyphs[];

extern const uchar g_Saturate8u[];
#define CV_FAST_CAST_8U(t)   (assert(-256 <= (t) && (t) <= 512), cv::g_Saturate8u[(t)+256])
#define CV_MIN_8U(a,b)       ((a) - CV_FAST_CAST_8U((a) - (b)))
#define CV_MAX_8U(a,b)       ((a) + CV_FAST_CAST_8U((b) - (a)))


#if defined WIN32 || defined _WIN32
void deleteThreadAllocData();
void deleteThreadRNGData();
#endif

template<typename T1, typename T2=T1, typename T3=T1> struct OpAdd
{
    typedef T1 type1;
    typedef T2 type2;
    typedef T3 rtype;
    T3 operator ()(const T1 a, const T2 b) const { return saturate_cast<T3>(a + b); }
};

template<typename T1, typename T2=T1, typename T3=T1> struct OpSub
{
    typedef T1 type1;
    typedef T2 type2;
    typedef T3 rtype;
    T3 operator ()(const T1 a, const T2 b) const { return saturate_cast<T3>(a - b); }
};

template<typename T1, typename T2=T1, typename T3=T1> struct OpRSub
{
    typedef T1 type1;
    typedef T2 type2;
    typedef T3 rtype;
    T3 operator ()(const T1 a, const T2 b) const { return saturate_cast<T3>(b - a); }
};

template<typename T> struct OpMin
{
    typedef T type1;
    typedef T type2;
    typedef T rtype;
    T operator ()(const T a, const T b) const { return std::min(a, b); }
};

template<typename T> struct OpMax
{
    typedef T type1;
    typedef T type2;
    typedef T rtype;
    T operator ()(const T a, const T b) const { return std::max(a, b); }
};

inline Size getContinuousSize( const Mat& m1, int widthScale=1 )
{
    return m1.isContinuous() ? Size(m1.cols*m1.rows*widthScale, 1) :
        Size(m1.cols*widthScale, m1.rows);
}

inline Size getContinuousSize( const Mat& m1, const Mat& m2, int widthScale=1 )
{
    return (m1.flags & m2.flags & Mat::CONTINUOUS_FLAG) != 0 ?
        Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
}

inline Size getContinuousSize( const Mat& m1, const Mat& m2,
                               const Mat& m3, int widthScale=1 )
{
    return (m1.flags & m2.flags & m3.flags & Mat::CONTINUOUS_FLAG) != 0 ?
        Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
}

inline Size getContinuousSize( const Mat& m1, const Mat& m2,
                               const Mat& m3, const Mat& m4,
                               int widthScale=1 )
{
    return (m1.flags & m2.flags & m3.flags & m4.flags & Mat::CONTINUOUS_FLAG) != 0 ?
        Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
}

inline Size getContinuousSize( const Mat& m1, const Mat& m2,
                               const Mat& m3, const Mat& m4,
                               const Mat& m5, int widthScale=1 )
{
    return (m1.flags & m2.flags & m3.flags & m4.flags & m5.flags & Mat::CONTINUOUS_FLAG) != 0 ?
        Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
}

struct NoVec
{
    size_t operator()(const void*, const void*, void*, size_t) const { return 0; }
};

extern volatile bool USE_SSE2;
extern volatile bool USE_SSE4_2;
extern volatile bool USE_AVX;

enum { BLOCK_SIZE = 1024 };

#if defined HAVE_IPP && (IPP_VERSION_MAJOR >= 7)
#define ARITHM_USE_IPP 1
#define IF_IPP(then_call, else_call) then_call
#else
#define ARITHM_USE_IPP 0
#define IF_IPP(then_call, else_call) else_call
#endif

inline bool checkScalar(const Mat& sc, int atype, int sckind, int akind)
{
    if( sc.dims > 2 || (sc.cols != 1 && sc.rows != 1) || !sc.isContinuous() )
        return false;
    int cn = CV_MAT_CN(atype);
    if( akind == _InputArray::MATX && sckind != _InputArray::MATX )
        return false;
    return sc.size() == Size(1, 1) || sc.size() == Size(1, cn) || sc.size() == Size(cn, 1) ||
           (sc.size() == Size(1, 4) && sc.type() == CV_64F && cn <= 4);
}

void convertAndUnrollScalar( const Mat& sc, int buftype, uchar* scbuf, size_t blocksize );

}

#endif /*_CXCORE_INTERNAL_H_*/