opencv/modules/core/src/hal_replacement.hpp

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#ifndef OPENCV_CORE_HAL_REPLACEMENT_HPP
#define OPENCV_CORE_HAL_REPLACEMENT_HPP

#include "opencv2/core/hal/interface.h"

#if defined __GNUC__
#  pragma GCC diagnostic push
#  pragma GCC diagnostic ignored "-Wunused-parameter"
#elif defined _MSC_VER
#  pragma warning( push )
#  pragma warning( disable: 4100 )
#endif

//! @addtogroup core_hal_interface
//! @note Define your functions to override default implementations:
//! @code
//! #undef hal_add8u
//! #define hal_add8u my_add8u
//! @endcode
//! @{

/**
Add: _dst[i] = src1[i] + src2[i]_ @n
Sub: _dst[i] = src1[i] - src2[i]_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
*/
//! @addtogroup core_hal_interface_addsub Element-wise add and subtract
//! @{
inline int hal_ni_add8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_add8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_add16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_add16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_add32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_add32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_add64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }

inline int hal_ni_sub8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sub8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sub16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sub16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sub32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sub32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sub64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Minimum: _dst[i] = min(src1[i], src2[i])_ @n
Maximum: _dst[i] = max(src1[i], src2[i])_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
*/
//! @addtogroup core_hal_interface_minmax Element-wise minimum or maximum
//! @{
inline int hal_ni_max8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_max8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_max16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_max16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_max32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_max32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_max64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }

inline int hal_ni_min8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_min8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_min16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_min16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_min32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_min32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_min64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Absolute difference: _dst[i] = | src1[i] - src2[i] |_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
@param scale additional multiplier
*/
//! @addtogroup core_hal_interface_absdiff Element-wise absolute difference
//! @{
inline int hal_ni_absdiff8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_absdiff8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_absdiff16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_absdiff16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_absdiff32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_absdiff32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_absdiff64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Bitwise AND: _dst[i] = src1[i] & src2[i]_ @n
Bitwise OR: _dst[i] = src1[i] | src2[i]_ @n
Bitwise XOR: _dst[i] = src1[i] ^ src2[i]_ @n
Bitwise NOT: _dst[i] = !src[i]_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
 */
//! @addtogroup core_hal_interface_logical Bitwise logical operations
//! @{
inline int hal_ni_and8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_or8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_xor8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_not8u(const uchar *src_data, size_t src_step, uchar *dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_add8u hal_ni_add8u
#define cv_hal_add8s hal_ni_add8s
#define cv_hal_add16u hal_ni_add16u
#define cv_hal_add16s hal_ni_add16s
#define cv_hal_add32s hal_ni_add32s
#define cv_hal_add32f hal_ni_add32f
#define cv_hal_add64f hal_ni_add64f
#define cv_hal_sub8u hal_ni_sub8u
#define cv_hal_sub8s hal_ni_sub8s
#define cv_hal_sub16u hal_ni_sub16u
#define cv_hal_sub16s hal_ni_sub16s
#define cv_hal_sub32s hal_ni_sub32s
#define cv_hal_sub32f hal_ni_sub32f
#define cv_hal_sub64f hal_ni_sub64f
#define cv_hal_max8u hal_ni_max8u
#define cv_hal_max8s hal_ni_max8s
#define cv_hal_max16u hal_ni_max16u
#define cv_hal_max16s hal_ni_max16s
#define cv_hal_max32s hal_ni_max32s
#define cv_hal_max32f hal_ni_max32f
#define cv_hal_max64f hal_ni_max64f
#define cv_hal_min8u hal_ni_min8u
#define cv_hal_min8s hal_ni_min8s
#define cv_hal_min16u hal_ni_min16u
#define cv_hal_min16s hal_ni_min16s
#define cv_hal_min32s hal_ni_min32s
#define cv_hal_min32f hal_ni_min32f
#define cv_hal_min64f hal_ni_min64f
#define cv_hal_absdiff8u hal_ni_absdiff8u
#define cv_hal_absdiff8s hal_ni_absdiff8s
#define cv_hal_absdiff16u hal_ni_absdiff16u
#define cv_hal_absdiff16s hal_ni_absdiff16s
#define cv_hal_absdiff32s hal_ni_absdiff32s
#define cv_hal_absdiff32f hal_ni_absdiff32f
#define cv_hal_absdiff64f hal_ni_absdiff64f
#define cv_hal_and8u hal_ni_and8u
#define cv_hal_or8u hal_ni_or8u
#define cv_hal_xor8u hal_ni_xor8u
#define cv_hal_not8u hal_ni_not8u
//! @endcond

/**
Compare: _dst[i] = src1[i] op src2[i]_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
@param operation one of (CV_HAL_CMP_EQ, CV_HAL_CMP_GT, ...)
*/
//! @addtogroup core_hal_interface_compare Element-wise compare
//! @{
inline int hal_ni_cmp8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_cmp8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_cmp16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_cmp16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_cmp32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_cmp32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_cmp64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, int operation) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_cmp8u hal_ni_cmp8u
#define cv_hal_cmp8s hal_ni_cmp8s
#define cv_hal_cmp16u hal_ni_cmp16u
#define cv_hal_cmp16s hal_ni_cmp16s
#define cv_hal_cmp32s hal_ni_cmp32s
#define cv_hal_cmp32f hal_ni_cmp32f
#define cv_hal_cmp64f hal_ni_cmp64f
//! @endcond

/**
Multiply: _dst[i] = scale * src1[i] * src2[i]_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
@param scale additional multiplier
*/
//! @addtogroup core_hal_interface_multiply Element-wise multiply
//! @{
inline int hal_ni_mul8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_mul8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_mul16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_mul16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_mul32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_mul32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_mul64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Divide: _dst[i] = scale * src1[i] / src2[i]_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
@param scale additional multiplier
*/
//! @addtogroup core_hal_interface_divide Element-wise divide
//! @{
inline int hal_ni_div8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_div8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_div16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_div16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_div32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_div32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_div64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Computes reciprocial: _dst[i] = scale / src[i]_
@param src_data,src_step source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
@param scale additional multiplier
 */
//! @addtogroup core_hal_interface_reciprocial Element-wise reciprocial
//! @{
inline int hal_ni_recip8u(const uchar *src_data, size_t src_step, uchar *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_recip8s(const schar *src_data, size_t src_step, schar *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_recip16u(const ushort *src_data, size_t src_step, ushort *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_recip16s(const short *src_data, size_t src_step, short *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_recip32s(const int *src_data, size_t src_step, int *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_recip32f(const float *src_data, size_t src_step, float *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_recip64f(const double *src_data, size_t src_step, double *dst_data, size_t dst_step, int width, int height, double scale) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_mul8u hal_ni_mul8u
#define cv_hal_mul8s hal_ni_mul8s
#define cv_hal_mul16u hal_ni_mul16u
#define cv_hal_mul16s hal_ni_mul16s
#define cv_hal_mul32s hal_ni_mul32s
#define cv_hal_mul32f hal_ni_mul32f
#define cv_hal_mul64f hal_ni_mul64f
#define cv_hal_div8u hal_ni_div8u
#define cv_hal_div8s hal_ni_div8s
#define cv_hal_div16u hal_ni_div16u
#define cv_hal_div16s hal_ni_div16s
#define cv_hal_div32s hal_ni_div32s
#define cv_hal_div32f hal_ni_div32f
#define cv_hal_div64f hal_ni_div64f
#define cv_hal_recip8u hal_ni_recip8u
#define cv_hal_recip8s hal_ni_recip8s
#define cv_hal_recip16u hal_ni_recip16u
#define cv_hal_recip16s hal_ni_recip16s
#define cv_hal_recip32s hal_ni_recip32s
#define cv_hal_recip32f hal_ni_recip32f
#define cv_hal_recip64f hal_ni_recip64f
//! @endcond

/**
Computes weighted sum of two arrays using formula: _dst[i] = a * src1[i] + b * src2[i] + c_
@param src1_data,src1_step first source image data and step
@param src2_data,src2_step second source image data and step
@param dst_data,dst_step destination image data and step
@param width,height dimensions of the images
@param scalars numbers _a_, _b_, and _c_
 */
//! @addtogroup core_hal_interface_addWeighted Element-wise weighted sum
//! @{
inline int hal_ni_addWeighted8u(const uchar *src1_data, size_t src1_step, const uchar *src2_data, size_t src2_step, uchar *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_addWeighted8s(const schar *src1_data, size_t src1_step, const schar *src2_data, size_t src2_step, schar *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_addWeighted16u(const ushort *src1_data, size_t src1_step, const ushort *src2_data, size_t src2_step, ushort *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_addWeighted16s(const short *src1_data, size_t src1_step, const short *src2_data, size_t src2_step, short *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_addWeighted32s(const int *src1_data, size_t src1_step, const int *src2_data, size_t src2_step, int *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_addWeighted32f(const float *src1_data, size_t src1_step, const float *src2_data, size_t src2_step, float *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_addWeighted64f(const double *src1_data, size_t src1_step, const double *src2_data, size_t src2_step, double *dst_data, size_t dst_step, int width, int height, const double scalars[3]) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_addWeighted8u hal_ni_addWeighted8u
#define cv_hal_addWeighted8s hal_ni_addWeighted8s
#define cv_hal_addWeighted16u hal_ni_addWeighted16u
#define cv_hal_addWeighted16s hal_ni_addWeighted16s
#define cv_hal_addWeighted32s hal_ni_addWeighted32s
#define cv_hal_addWeighted32f hal_ni_addWeighted32f
#define cv_hal_addWeighted64f hal_ni_addWeighted64f
//! @endcond

/**
@param src_data array of interleaved values (__len__ x __cn__ items) [ B, G, R, B, G, R, ...]
@param dst_data array of pointers to destination arrays (__cn__ items x __len__ items) [ [B, B, ...], [G, G, ...], [R, R, ...] ]
@param len number of elements
@param cn number of channels
 */
//! @addtogroup core_hal_interface_split Channel split
//! @{
inline int hal_ni_split8u(const uchar *src_data, uchar **dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_split16u(const ushort *src_data, ushort **dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_split32s(const int *src_data, int **dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_split64s(const int64 *src_data, int64 **dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_split8u hal_ni_split8u
#define cv_hal_split16u hal_ni_split16u
#define cv_hal_split32s hal_ni_split32s
#define cv_hal_split64s hal_ni_split64s
//! @endcond

/**
@param src_data array of pointers to source arrays (__cn__ items x __len__ items) [ [B, B, ...], [G, G, ...], [R, R, ...] ]
@param dst_data destination array of interleaved values (__len__ x __cn__ items) [ B, G, R, B, G, R, ...]
@param len number of elements
@param cn number of channels
 */
//! @addtogroup core_hal_interface_merge Channel merge
//! @{
inline int hal_ni_merge8u(const uchar **src_data, uchar *dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_merge16u(const ushort **src_data, ushort *dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_merge32s(const int **src_data, int *dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_merge64s(const int64 **src_data, int64 *dst_data, int len, int cn) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_merge8u hal_ni_merge8u
#define cv_hal_merge16u hal_ni_merge16u
#define cv_hal_merge32s hal_ni_merge32s
#define cv_hal_merge64s hal_ni_merge64s
//! @endcond


/**
@param y,x source Y and X arrays
@param dst destination array
@param len length of arrays
@param angleInDegrees if set to true return angles in degrees, otherwise in radians
 */
//! @addtogroup core_hal_interface_fastAtan Atan calculation
//! @{
inline int hal_ni_fastAtan32f(const float* y, const float* x, float* dst, int len, bool angleInDegrees) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_fastAtan64f(const double* y, const double* x, double* dst, int len, bool angleInDegrees) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_fastAtan32f hal_ni_fastAtan32f
#define cv_hal_fastAtan64f hal_ni_fastAtan64f
//! @endcond


/**
@param x,y source X and Y arrays
@param dst destination array
@param len length of arrays
 */
//! @addtogroup core_hal_interface_magnitude Magnitude calculation
//! @{
inline int hal_ni_magnitude32f(const float *x, const float *y, float *dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_magnitude64f(const double *x, const double  *y, double *dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_magnitude32f hal_ni_magnitude32f
#define cv_hal_magnitude64f hal_ni_magnitude64f
//! @endcond


/**
@param src source array
@param dst destination array
@param len length of arrays
 */
//! @addtogroup core_hal_interface_invSqrt Inverse square root calculation
//! @{
inline int hal_ni_invSqrt32f(const float* src, float* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_invSqrt64f(const double* src, double* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_invSqrt32f hal_ni_invSqrt32f
#define cv_hal_invSqrt64f hal_ni_invSqrt64f
//! @endcond


/**
@param src source array
@param dst destination array
@param len length of arrays
 */
//! @addtogroup core_hal_interface_sqrt Square root calculation
//! @{
inline int hal_ni_sqrt32f(const float* src, float* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_sqrt64f(const double* src, double* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_sqrt32f hal_ni_sqrt32f
#define cv_hal_sqrt64f hal_ni_sqrt64f
//! @endcond


/**
@param src source array
@param dst destination array
@param len length of arrays
 */
//! @addtogroup core_hal_interface_log Natural logarithm calculation
//! @{
inline int hal_ni_log32f(const float* src, float* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_log64f(const double* src, double* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_log32f hal_ni_log32f
#define cv_hal_log64f hal_ni_log64f
//! @endcond


/**
@param src source array
@param dst destination array
@param len length of arrays
 */
//! @addtogroup core_hal_interface_exp Exponent calculation
//! @{
inline int hal_ni_exp32f(const float* src, float* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_exp64f(const double* src, double* dst, int len) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_exp32f hal_ni_exp32f
#define cv_hal_exp64f hal_ni_exp64f
//! @endcond


/**
@brief Dummy structure storing DFT/DCT context

Users can convert this pointer to any type they want. Initialisation and destruction should be made in Init and Free function implementations correspondingly.
Example:
@code{.cpp}
int my_hal_dftInit2D(cvhalDFT **context, ...) {
    *context = static_cast<cvhalDFT*>(new MyFilterData());
    //... init
}

int my_hal_dftFree2D(cvhalDFT *context) {
    MyFilterData *c = static_cast<MyFilterData*>(context);
    delete c;
}
@endcode
 */
struct cvhalDFT {};

/**
@param context double pointer to context storing all necessary data
@param len transformed array length
@param count estimated transformation count
@param depth array type (CV_32F or CV_64F)
@param flags algorithm options (combination of CV_HAL_DFT_INVERSE, CV_HAL_DFT_SCALE, ...)
@param needBuffer pointer to boolean variable, if valid pointer provided, then variable value should be set to true to signal that additional memory buffer is needed for operations
 */
inline int hal_ni_dftInit1D(cvhalDFT **context, int len, int count, int depth, int flags, bool *needBuffer) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/**
@param context pointer to context storing all necessary data
@param src source data
@param dst destination data
 */
inline int hal_ni_dft1D(cvhalDFT *context, const uchar *src, uchar *dst) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/**
@param context pointer to context storing all necessary data
 */
inline int hal_ni_dftFree1D(cvhalDFT *context) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }

//! @cond IGNORED
#define cv_hal_dftInit1D hal_ni_dftInit1D
#define cv_hal_dft1D hal_ni_dft1D
#define cv_hal_dftFree1D hal_ni_dftFree1D
//! @endcond

/**
@param context double pointer to context storing all necessary data
@param width,height image dimensions
@param depth image type (CV_32F or CV64F)
@param src_channels number of channels in input image
@param dst_channels number of channels in output image
@param flags algorithm options (combination of CV_HAL_DFT_INVERSE, ...)
@param nonzero_rows number of nonzero rows in image, can be used for optimization
 */
inline int hal_ni_dftInit2D(cvhalDFT **context, int width, int height, int depth, int src_channels, int dst_channels, int flags, int nonzero_rows) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/**
@param context pointer to context storing all necessary data
@param src_data,src_step source image data and step
@param dst_data,dst_step destination image data and step
 */
inline int hal_ni_dft2D(cvhalDFT *context, const uchar *src_data, size_t src_step, uchar *dst_data, size_t dst_step) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/**
@param context pointer to context storing all necessary data
 */
inline int hal_ni_dftFree2D(cvhalDFT *context) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }

//! @cond IGNORED
#define cv_hal_dftInit2D hal_ni_dftInit2D
#define cv_hal_dft2D hal_ni_dft2D
#define cv_hal_dftFree2D hal_ni_dftFree2D
//! @endcond

/**
@param context double pointer to context storing all necessary data
@param width,height image dimensions
@param depth image type (CV_32F or CV64F)
@param flags algorithm options (combination of CV_HAL_DFT_INVERSE, ...)
 */
inline int hal_ni_dctInit2D(cvhalDFT **context, int width, int height, int depth, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/**
@param context pointer to context storing all necessary data
@param src_data,src_step source image data and step
@param dst_data,dst_step destination image data and step
 */
inline int hal_ni_dct2D(cvhalDFT *context, const uchar *src_data, size_t src_step, uchar *dst_data, size_t dst_step) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/**
@param context pointer to context storing all necessary data
 */
inline int hal_ni_dctFree2D(cvhalDFT *context) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }

//! @cond IGNORED
#define cv_hal_dctInit2D hal_ni_dctInit2D
#define cv_hal_dct2D hal_ni_dct2D
#define cv_hal_dctFree2D hal_ni_dctFree2D
//! @endcond


/**
Performs \f$LU\f$ decomposition of square matrix \f$A=P*L*U\f$ (where \f$P\f$ is permutation matrix) and solves matrix equation \f$A*X=B\f$.
Function returns the \f$sign\f$ of permutation \f$P\f$ via parameter info.
@param src1 pointer to input matrix \f$A\f$ stored in row major order. After finish of work src1 contains at least \f$U\f$ part of \f$LU\f$
decomposition which is appropriate for determainant calculation: \f$det(A)=sign*\prod_{j=1}^{M}a_{jj}\f$.
@param src1_step number of bytes each matrix \f$A\f$ row occupies.
@param m size of square matrix \f$A\f$.
@param src2 pointer to \f$M\times N\f$ matrix \f$B\f$ which is the right-hand side of system \f$A*X=B\f$. \f$B\f$ stored in row major order.
If src2 is null pointer only \f$LU\f$ decomposition will be performed. After finish of work src2 contains solution \f$X\f$ of system \f$A*X=B\f$.
@param src2_step number of bytes each matrix \f$B\f$ row occupies.
@param n number of right-hand vectors in \f$M\times N\f$ matrix \f$B\f$.
@param info indicates success of decomposition. If *info is equals to zero decomposition failed, othervise *info is equals to \f$sign\f$.
 */
//! @addtogroup core_hal_interface_decomp_lu LU matrix decomposition
//! @{
inline int hal_ni_LU32f(float* src1, size_t src1_step, int m, float* src2, size_t src2_step, int n, int* info) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_LU64f(double* src1, size_t src1_step, int m, double* src2, size_t src2_step, int n, int* info) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Performs Cholesky decomposition of matrix \f$A = L*L^T\f$ and solves matrix equation \f$A*X=B\f$.
@param src1 pointer to input matrix \f$A\f$ stored in row major order. After finish of work src1 contains lower triangular matrix \f$L\f$.
@param src1_step number of bytes each matrix \f$A\f$ row occupies.
@param m size of square matrix \f$A\f$.
@param src2 pointer to \f$M\times N\f$ matrix \f$B\f$ which is the right-hand side of system \f$A*X=B\f$. B stored in row major order.
If src2 is null pointer only Cholesky decomposition will be performed. After finish of work src2 contains solution \f$X\f$ of system \f$A*X=B\f$.
@param src2_step number of bytes each matrix \f$B\f$ row occupies.
@param n number of right-hand vectors in \f$M\times N\f$ matrix \f$B\f$.
@param info indicates success of decomposition. If *info is false decomposition failed.
 */

//! @addtogroup core_hal_interface_decomp_cholesky Cholesky matrix decomposition
//! @{
inline int hal_ni_Cholesky32f(float* src1, size_t src1_step, int m, float* src2, size_t src2_step, int n, bool* info) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_Cholesky64f(double* src1, size_t src1_step, int m, double* src2, size_t src2_step, int n, bool* info) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

/**
Performs singular value decomposition of \f$M\times N\f$(\f$M>N\f$) matrix \f$A = U*\Sigma*V^T\f$.
@param src pointer to input \f$M\times N\f$ matrix \f$A\f$ stored in column major order.
After finish of work src will be filled with rows of \f$U\f$ or not modified (depends of flag CV_HAL_SVD_MODIFY_A).
@param src_step number of bytes each matrix \f$A\f$ column occupies.
@param w pointer to array for singular values of matrix \f$A\f$ (i. e. first \f$N\f$ diagonal elements of matrix \f$\Sigma\f$).
@param u pointer to output \f$M\times N\f$ or \f$M\times M\f$ matrix \f$U\f$ (size depends of flags). Pointer must be valid if flag CV_HAL_SVD_MODIFY_A not used.
@param u_step number of bytes each matrix \f$U\f$ row occupies.
@param vt pointer to array for \f$N\times N\f$ matrix \f$V^T\f$.
@param vt_step number of bytes each matrix \f$V^T\f$ row occupies.
@param m number fo rows in matrix \f$A\f$.
@param n number of columns in matrix \f$A\f$.
@param flags algorithm options (combination of CV_HAL_SVD_FULL_UV, ...).
 */
//! @addtogroup core_hal_interface_decomp_svd Singular value matrix decomposition
//! @{
inline int hal_ni_SVD32f(float* src, size_t src_step, float* w, float* u, size_t u_step, float* vt, size_t vt_step, int m, int n, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_SVD64f(double* src, size_t src_step, double* w, double* u, size_t u_step, double* vt, size_t vt_step, int m, int n, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}



//! @cond IGNORED
#define cv_hal_LU32f hal_ni_LU32f
#define cv_hal_LU64f hal_ni_LU64f
#define cv_hal_Cholesky32f hal_ni_Cholesky32f
#define cv_hal_Cholesky64f hal_ni_Cholesky64f
#define cv_hal_SVD32f hal_ni_SVD32f
#define cv_hal_SVD64f hal_ni_SVD64f
//! @endcond


/**
The function performs generalized matrix multiplication similar to the gemm functions in BLAS level 3:
\f$D = \alpha*AB+\beta*C\f$

@param src1 pointer to input \f$M\times N\f$ matrix \f$A\f$ or \f$A^T\f$ stored in row major order.
@param src1_step number of bytes each matrix \f$A\f$ or \f$A^T\f$ row occupies.
@param src2 pointer to input \f$N\times K\f$ matrix \f$B\f$ or \f$B^T\f$ stored in row major order.
@param src2_step number of bytes each matrix \f$B\f$ or \f$B^T\f$ row occupies.
@param alpha \f$\alpha\f$ multiplier before \f$AB\f$
@param src3 pointer to input \f$M\times K\f$ matrix \f$C\f$ or \f$C^T\f$ stored in row major order.
@param src3_step number of bytes each matrix \f$C\f$ or \f$C^T\f$ row occupies.
@param beta \f$\beta\f$ multiplier before \f$C\f$
@param dst pointer to input \f$M\times K\f$ matrix \f$D\f$ stored in row major order.
@param dst_step number of bytes each matrix \f$D\f$ row occupies.
@param m number of rows in matrix \f$A\f$ or \f$A^T\f$, equals to number of rows in matrix \f$D\f$
@param n number of columns in matrix \f$A\f$ or \f$A^T\f$
@param k number of columns in matrix \f$B\f$ or \f$B^T\f$, equals to number of columns in matrix \f$D\f$
@param flags algorithm options (combination of CV_HAL_GEMM_1_T, ...).
 */

//! @addtogroup core_hal_interface_matrix_multiplication Matrix multiplication
//! @{
inline int hal_ni_gemm32f(const float* src1, size_t src1_step, const float* src2, size_t src2_step,
                          float alpha, const float* src3, size_t src3_step, float beta, float* dst, size_t dst_step,
                          int m, int n, int k, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_gemm64f(const double* src1, size_t src1_step, const double* src2, size_t src2_step,
                          double alpha, const double* src3, size_t src3_step, double beta, double* dst, size_t dst_step,
                          int m, int n, int k, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_gemm32fc(const float* src1, size_t src1_step, const float* src2, size_t src2_step,
                          float alpha, const float* src3, size_t src3_step, float beta, float* dst, size_t dst_step,
                          int m, int n, int k, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
inline int hal_ni_gemm64fc(const double* src1, size_t src1_step, const double* src2, size_t src2_step,
                          double alpha, const double* src3, size_t src3_step, double beta, double* dst, size_t dst_step,
                          int m, int n, int k, int flags) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @}

//! @cond IGNORED
#define cv_hal_gemm32f hal_ni_gemm32f
#define cv_hal_gemm64f hal_ni_gemm64f
#define cv_hal_gemm32fc hal_ni_gemm32fc
#define cv_hal_gemm64fc hal_ni_gemm64fc
//! @endcond

//! @}


#if defined __GNUC__
#  pragma GCC diagnostic pop
#elif defined _MSC_VER
#  pragma warning( pop )
#endif

#include "hal_internal.hpp"
#include "custom_hal.hpp"

//! @cond IGNORED
#define CALL_HAL_RET(name, fun, retval, ...) \
{ \
    int res = fun(__VA_ARGS__, &retval); \
    if (res == CV_HAL_ERROR_OK) \
        return retval; \
    else if (res != CV_HAL_ERROR_NOT_IMPLEMENTED) \
        CV_Error_(cv::Error::StsInternal, \
            ("HAL implementation " CVAUX_STR(name) " ==> " CVAUX_STR(fun) " returned %d (0x%08x)", res, res)); \
}


#define CALL_HAL(name, fun, ...) \
{ \
    int res = fun(__VA_ARGS__); \
    if (res == CV_HAL_ERROR_OK) \
        return; \
    else if (res != CV_HAL_ERROR_NOT_IMPLEMENTED) \
        CV_Error_(cv::Error::StsInternal, \
            ("HAL implementation " CVAUX_STR(name) " ==> " CVAUX_STR(fun) " returned %d (0x%08x)", res, res)); \
}
//! @endcond

#endif