/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Copyright (C) 2015, Itseez Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #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(new MyFilterData()); //... init } int my_hal_dftFree2D(cvhalDFT *context) { MyFilterData *c = static_cast(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