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411 lines
14 KiB
C++
411 lines
14 KiB
C++
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef _CXCORE_INTERNAL_H_
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#define _CXCORE_INTERNAL_H_
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#if defined _MSC_VER && _MSC_VER >= 1200
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// disable warnings related to inline functions
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#pragma warning( disable: 4251 4711 4710 4514 )
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#endif
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#include "opencv2/core/core.hpp"
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#include "opencv2/core/core_c.h"
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#include "opencv2/core/internal.hpp"
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#include <assert.h>
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#include <ctype.h>
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#include <float.h>
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#include <limits.h>
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#include <math.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#define CV_MEMCPY_CHAR( dst, src, len ) \
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{ \
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size_t _icv_memcpy_i_, _icv_memcpy_len_ = (len); \
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char* _icv_memcpy_dst_ = (char*)(dst); \
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const char* _icv_memcpy_src_ = (const char*)(src); \
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\
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for( _icv_memcpy_i_ = 0; _icv_memcpy_i_ < _icv_memcpy_len_; _icv_memcpy_i_++ ) \
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_icv_memcpy_dst_[_icv_memcpy_i_] = _icv_memcpy_src_[_icv_memcpy_i_]; \
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}
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#define CV_MEMCPY_INT( dst, src, len ) \
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{ \
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size_t _icv_memcpy_i_, _icv_memcpy_len_ = (len); \
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int* _icv_memcpy_dst_ = (int*)(dst); \
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const int* _icv_memcpy_src_ = (const int*)(src); \
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assert( ((size_t)_icv_memcpy_src_&(sizeof(int)-1)) == 0 && \
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((size_t)_icv_memcpy_dst_&(sizeof(int)-1)) == 0 ); \
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\
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for(_icv_memcpy_i_=0;_icv_memcpy_i_<_icv_memcpy_len_;_icv_memcpy_i_++) \
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_icv_memcpy_dst_[_icv_memcpy_i_] = _icv_memcpy_src_[_icv_memcpy_i_];\
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}
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#define CV_MEMCPY_AUTO( dst, src, len ) \
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{ \
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size_t _icv_memcpy_i_, _icv_memcpy_len_ = (len); \
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char* _icv_memcpy_dst_ = (char*)(dst); \
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const char* _icv_memcpy_src_ = (const char*)(src); \
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if( (_icv_memcpy_len_ & (sizeof(int)-1)) == 0 ) \
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{ \
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assert( ((size_t)_icv_memcpy_src_&(sizeof(int)-1)) == 0 && \
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((size_t)_icv_memcpy_dst_&(sizeof(int)-1)) == 0 ); \
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for( _icv_memcpy_i_ = 0; _icv_memcpy_i_ < _icv_memcpy_len_; \
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_icv_memcpy_i_+=sizeof(int) ) \
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{ \
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*(int*)(_icv_memcpy_dst_+_icv_memcpy_i_) = \
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*(const int*)(_icv_memcpy_src_+_icv_memcpy_i_); \
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} \
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} \
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else \
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{ \
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for(_icv_memcpy_i_ = 0; _icv_memcpy_i_ < _icv_memcpy_len_; _icv_memcpy_i_++)\
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_icv_memcpy_dst_[_icv_memcpy_i_] = _icv_memcpy_src_[_icv_memcpy_i_]; \
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} \
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}
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#define CV_ZERO_CHAR( dst, len ) \
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{ \
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size_t _icv_memcpy_i_, _icv_memcpy_len_ = (len); \
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char* _icv_memcpy_dst_ = (char*)(dst); \
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\
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for( _icv_memcpy_i_ = 0; _icv_memcpy_i_ < _icv_memcpy_len_; _icv_memcpy_i_++ ) \
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_icv_memcpy_dst_[_icv_memcpy_i_] = '\0'; \
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}
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#define CV_ZERO_INT( dst, len ) \
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{ \
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size_t _icv_memcpy_i_, _icv_memcpy_len_ = (len); \
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int* _icv_memcpy_dst_ = (int*)(dst); \
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assert( ((size_t)_icv_memcpy_dst_&(sizeof(int)-1)) == 0 ); \
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\
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for(_icv_memcpy_i_=0;_icv_memcpy_i_<_icv_memcpy_len_;_icv_memcpy_i_++) \
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_icv_memcpy_dst_[_icv_memcpy_i_] = 0; \
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}
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namespace cv
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{
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// -128.f ... 255.f
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extern const float g_8x32fTab[];
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#define CV_8TO32F(x) cv::g_8x32fTab[(x)+128]
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extern const ushort g_8x16uSqrTab[];
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#define CV_SQR_8U(x) cv::g_8x16uSqrTab[(x)+255]
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extern const char* g_HersheyGlyphs[];
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extern const uchar g_Saturate8u[];
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#define CV_FAST_CAST_8U(t) (assert(-256 <= (t) && (t) <= 512), cv::g_Saturate8u[(t)+256])
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#define CV_MIN_8U(a,b) ((a) - CV_FAST_CAST_8U((a) - (b)))
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#define CV_MAX_8U(a,b) ((a) + CV_FAST_CAST_8U((b) - (a)))
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typedef void (*CopyMaskFunc)(const Mat& src, Mat& dst, const Mat& mask);
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extern CopyMaskFunc g_copyMaskFuncTab[];
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static inline CopyMaskFunc getCopyMaskFunc(int esz)
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{
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CV_Assert( (unsigned)esz <= 32U );
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CopyMaskFunc func = g_copyMaskFuncTab[esz];
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CV_Assert( func != 0 );
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return func;
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}
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#if defined WIN32 || defined _WIN32
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void deleteThreadAllocData();
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void deleteThreadRNGData();
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#endif
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template<typename T1, typename T2=T1, typename T3=T1> struct OpAdd
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{
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typedef T1 type1;
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typedef T2 type2;
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typedef T3 rtype;
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T3 operator ()(T1 a, T2 b) const { return saturate_cast<T3>(a + b); }
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};
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template<typename T1, typename T2=T1, typename T3=T1> struct OpSub
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{
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typedef T1 type1;
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typedef T2 type2;
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typedef T3 rtype;
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T3 operator ()(T1 a, T2 b) const { return saturate_cast<T3>(a - b); }
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};
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template<typename T1, typename T2=T1, typename T3=T1> struct OpRSub
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{
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typedef T1 type1;
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typedef T2 type2;
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typedef T3 rtype;
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T3 operator ()(T1 a, T2 b) const { return saturate_cast<T3>(b - a); }
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};
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template<typename T1, typename T2=T1, typename T3=T1> struct OpMul
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{
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typedef T1 type1;
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typedef T2 type2;
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typedef T3 rtype;
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T3 operator ()(T1 a, T2 b) const { return saturate_cast<T3>(a * b); }
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};
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template<typename T1, typename T2=T1, typename T3=T1> struct OpDiv
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{
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typedef T1 type1;
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typedef T2 type2;
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typedef T3 rtype;
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T3 operator ()(T1 a, T2 b) const { return saturate_cast<T3>(a / b); }
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};
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template<typename T> struct OpMin
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{
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typedef T type1;
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typedef T type2;
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typedef T rtype;
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T operator ()(T a, T b) const { return std::min(a, b); }
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};
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template<typename T> struct OpMax
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{
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typedef T type1;
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typedef T type2;
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typedef T rtype;
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T operator ()(T a, T b) const { return std::max(a, b); }
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};
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inline Size getContinuousSize( const Mat& m1, int widthScale=1 )
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{
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return m1.isContinuous() ? Size(m1.cols*m1.rows*widthScale, 1) :
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Size(m1.cols*widthScale, m1.rows);
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}
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inline Size getContinuousSize( const Mat& m1, const Mat& m2, int widthScale=1 )
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{
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return (m1.flags & m2.flags & Mat::CONTINUOUS_FLAG) != 0 ?
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Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
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}
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inline Size getContinuousSize( const Mat& m1, const Mat& m2,
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const Mat& m3, int widthScale=1 )
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{
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return (m1.flags & m2.flags & m3.flags & Mat::CONTINUOUS_FLAG) != 0 ?
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Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
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}
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inline Size getContinuousSize( const Mat& m1, const Mat& m2,
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const Mat& m3, const Mat& m4,
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int widthScale=1 )
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{
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return (m1.flags & m2.flags & m3.flags & m4.flags & Mat::CONTINUOUS_FLAG) != 0 ?
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Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
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}
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inline Size getContinuousSize( const Mat& m1, const Mat& m2,
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const Mat& m3, const Mat& m4,
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const Mat& m5, int widthScale=1 )
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{
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return (m1.flags & m2.flags & m3.flags & m4.flags & m5.flags & Mat::CONTINUOUS_FLAG) != 0 ?
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Size(m1.cols*m1.rows*widthScale, 1) : Size(m1.cols*widthScale, m1.rows);
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}
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struct NoVec
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{
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int operator()(const void*, const void*, void*, int) const { return 0; }
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};
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template<class Op, class VecOp> static void
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binaryOpC1_( const Mat& srcmat1, const Mat& srcmat2, Mat& dstmat )
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{
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Op op; VecOp vecOp;
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typedef typename Op::type1 T1;
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typedef typename Op::type2 T2;
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typedef typename Op::rtype DT;
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const T1* src1 = (const T1*)srcmat1.data;
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const T2* src2 = (const T2*)srcmat2.data;
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DT* dst = (DT*)dstmat.data;
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size_t step1 = srcmat1.step/sizeof(src1[0]);
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size_t step2 = srcmat2.step/sizeof(src2[0]);
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size_t step = dstmat.step/sizeof(dst[0]);
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Size size = getContinuousSize( srcmat1, srcmat2, dstmat, dstmat.channels() );
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if( size.width == 1 )
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{
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for( ; size.height--; src1 += step1, src2 += step2, dst += step )
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dst[0] = op( src1[0], src2[0] );
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return;
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}
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for( ; size.height--; src1 += step1, src2 += step2, dst += step )
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{
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int x = vecOp(src1, src2, dst, size.width);
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for( ; x <= size.width - 4; x += 4 )
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{
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DT f0, f1;
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f0 = op( src1[x], src2[x] );
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f1 = op( src1[x+1], src2[x+1] );
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dst[x] = f0;
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dst[x+1] = f1;
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f0 = op(src1[x+2], src2[x+2]);
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f1 = op(src1[x+3], src2[x+3]);
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dst[x+2] = f0;
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dst[x+3] = f1;
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}
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for( ; x < size.width; x++ )
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dst[x] = op( src1[x], src2[x] );
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}
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}
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typedef void (*BinaryFunc)(const Mat& src1, const Mat& src2, Mat& dst);
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template<class Op> static void
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binarySOpCn_( const Mat& srcmat, Mat& dstmat, const Scalar& _scalar )
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{
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Op op;
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typedef typename Op::type1 T;
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typedef typename Op::type2 WT;
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typedef typename Op::rtype DT;
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const T* src0 = (const T*)srcmat.data;
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DT* dst0 = (DT*)dstmat.data;
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size_t step1 = srcmat.step/sizeof(src0[0]);
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size_t step = dstmat.step/sizeof(dst0[0]);
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int cn = dstmat.channels();
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Size size = getContinuousSize( srcmat, dstmat, cn );
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WT scalar[12];
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_scalar.convertTo(scalar, cn, 12);
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for( ; size.height--; src0 += step1, dst0 += step )
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{
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int i, len = size.width;
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const T* src = src0;
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T* dst = dst0;
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for( ; (len -= 12) >= 0; dst += 12, src += 12 )
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{
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DT t0 = op(src[0], scalar[0]);
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DT t1 = op(src[1], scalar[1]);
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dst[0] = t0; dst[1] = t1;
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t0 = op(src[2], scalar[2]);
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t1 = op(src[3], scalar[3]);
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dst[2] = t0; dst[3] = t1;
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t0 = op(src[4], scalar[4]);
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t1 = op(src[5], scalar[5]);
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dst[4] = t0; dst[5] = t1;
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t0 = op(src[6], scalar[6]);
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t1 = op(src[7], scalar[7]);
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dst[6] = t0; dst[7] = t1;
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t0 = op(src[8], scalar[8]);
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t1 = op(src[9], scalar[9]);
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dst[8] = t0; dst[9] = t1;
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t0 = op(src[10], scalar[10]);
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t1 = op(src[11], scalar[11]);
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dst[10] = t0; dst[11] = t1;
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}
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for( (len) += 12, i = 0; i < (len); i++ )
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dst[i] = op((WT)src[i], scalar[i]);
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}
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}
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template<class Op> static void
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binarySOpC1_( const Mat& srcmat, Mat& dstmat, double _scalar )
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{
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Op op;
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typedef typename Op::type1 T;
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typedef typename Op::type2 WT;
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typedef typename Op::rtype DT;
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WT scalar = saturate_cast<WT>(_scalar);
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const T* src = (const T*)srcmat.data;
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DT* dst = (DT*)dstmat.data;
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size_t step1 = srcmat.step/sizeof(src[0]);
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size_t step = dstmat.step/sizeof(dst[0]);
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Size size = srcmat.size();
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size.width *= srcmat.channels();
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if( srcmat.isContinuous() && dstmat.isContinuous() )
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{
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size.width *= size.height;
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size.height = 1;
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}
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||
|
for( ; size.height--; src += step1, dst += step )
|
||
|
{
|
||
|
int x;
|
||
|
for( x = 0; x <= size.width - 4; x += 4 )
|
||
|
{
|
||
|
DT f0 = op( src[x], scalar );
|
||
|
DT f1 = op( src[x+1], scalar );
|
||
|
dst[x] = f0;
|
||
|
dst[x+1] = f1;
|
||
|
f0 = op( src[x+2], scalar );
|
||
|
f1 = op( src[x+3], scalar );
|
||
|
dst[x+2] = f0;
|
||
|
dst[x+3] = f1;
|
||
|
}
|
||
|
|
||
|
for( ; x < size.width; x++ )
|
||
|
dst[x] = op( src[x], scalar );
|
||
|
}
|
||
|
}
|
||
|
|
||
|
typedef void (*BinarySFuncCn)(const Mat& src1, Mat& dst, const Scalar& scalar);
|
||
|
typedef void (*BinarySFuncC1)(const Mat& src1, Mat& dst, double scalar);
|
||
|
|
||
|
}
|
||
|
|
||
|
#endif /*_CXCORE_INTERNAL_H_*/
|