mirror of
https://github.com/opencv/opencv.git
synced 2024-11-29 22:00:25 +08:00
a8656ea20f
fixed whitespaces fixed issues fixed issue fixed module statement issues fixed access mode added initialization check fixed warning
320 lines
9.7 KiB
C++
320 lines
9.7 KiB
C++
/*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.
|
|
// 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_PRECOMP_H__
|
|
#define __OPENCV_PRECOMP_H__
|
|
|
|
#include "opencv2/opencv_modules.hpp"
|
|
#include "cvconfig.h"
|
|
|
|
#include "opencv2/core/utility.hpp"
|
|
#include "opencv2/core/core_c.h"
|
|
#include "opencv2/core/cuda.hpp"
|
|
#include "opencv2/core/opengl.hpp"
|
|
#include "opencv2/core/vaapi.hpp"
|
|
|
|
#include "opencv2/core/private.hpp"
|
|
#include "opencv2/core/private.cuda.hpp"
|
|
#include "opencv2/core/ocl.hpp"
|
|
|
|
#include "opencv2/hal.hpp"
|
|
|
|
#include <assert.h>
|
|
#include <ctype.h>
|
|
#include <float.h>
|
|
#include <limits.h>
|
|
#include <math.h>
|
|
#include <stdio.h>
|
|
#include <stdlib.h>
|
|
#include <string.h>
|
|
|
|
#ifdef HAVE_TEGRA_OPTIMIZATION
|
|
#include "opencv2/core/core_tegra.hpp"
|
|
#else
|
|
#define GET_OPTIMIZED(func) (func)
|
|
#endif
|
|
|
|
namespace cv
|
|
{
|
|
|
|
typedef void (*BinaryFunc)(const uchar* src1, size_t step1,
|
|
const uchar* src2, size_t step2,
|
|
uchar* dst, size_t step, Size sz,
|
|
void*);
|
|
|
|
BinaryFunc getConvertFunc(int sdepth, int ddepth);
|
|
BinaryFunc getCopyMaskFunc(size_t esz);
|
|
|
|
/* default memory block for sparse array elements */
|
|
#define CV_SPARSE_MAT_BLOCK (1<<12)
|
|
|
|
/* initial hash table size */
|
|
#define CV_SPARSE_HASH_SIZE0 (1<<10)
|
|
|
|
/* maximal average node_count/hash_size ratio beyond which hash table is resized */
|
|
#define CV_SPARSE_HASH_RATIO 3
|
|
|
|
|
|
|
|
// -128.f ... 255.f
|
|
extern const float g_8x32fTab[];
|
|
#define CV_8TO32F(x) cv::g_8x32fTab[(x)+128]
|
|
|
|
extern const ushort g_8x16uSqrTab[];
|
|
#define CV_SQR_8U(x) cv::g_8x16uSqrTab[(x)+255]
|
|
|
|
extern const uchar g_Saturate8u[];
|
|
#define CV_FAST_CAST_8U(t) (assert(-256 <= (t) && (t) <= 512), cv::g_Saturate8u[(t)+256])
|
|
#define CV_MIN_8U(a,b) ((a) - CV_FAST_CAST_8U((a) - (b)))
|
|
#define CV_MAX_8U(a,b) ((a) + CV_FAST_CAST_8U((b) - (a)))
|
|
|
|
|
|
#if defined WIN32 || defined _WIN32
|
|
void deleteThreadAllocData();
|
|
#endif
|
|
|
|
template<typename T1, typename T2=T1, typename T3=T1> struct OpAdd
|
|
{
|
|
typedef T1 type1;
|
|
typedef T2 type2;
|
|
typedef T3 rtype;
|
|
T3 operator ()(const T1 a, const T2 b) const { return saturate_cast<T3>(a + b); }
|
|
};
|
|
|
|
template<typename T1, typename T2=T1, typename T3=T1> struct OpSub
|
|
{
|
|
typedef T1 type1;
|
|
typedef T2 type2;
|
|
typedef T3 rtype;
|
|
T3 operator ()(const T1 a, const T2 b) const { return saturate_cast<T3>(a - b); }
|
|
};
|
|
|
|
template<typename T1, typename T2=T1, typename T3=T1> struct OpRSub
|
|
{
|
|
typedef T1 type1;
|
|
typedef T2 type2;
|
|
typedef T3 rtype;
|
|
T3 operator ()(const T1 a, const T2 b) const { return saturate_cast<T3>(b - a); }
|
|
};
|
|
|
|
template<typename T> struct OpMin
|
|
{
|
|
typedef T type1;
|
|
typedef T type2;
|
|
typedef T rtype;
|
|
T operator ()(const T a, const T b) const { return std::min(a, b); }
|
|
};
|
|
|
|
template<typename T> struct OpMax
|
|
{
|
|
typedef T type1;
|
|
typedef T type2;
|
|
typedef T rtype;
|
|
T operator ()(const T a, const T b) const { return std::max(a, b); }
|
|
};
|
|
|
|
inline Size getContinuousSize_( int flags, int cols, int rows, int widthScale )
|
|
{
|
|
int64 sz = (int64)cols * rows * widthScale;
|
|
return (flags & Mat::CONTINUOUS_FLAG) != 0 &&
|
|
(int)sz == sz ? Size((int)sz, 1) : Size(cols * widthScale, rows);
|
|
}
|
|
|
|
inline Size getContinuousSize( const Mat& m1, int widthScale=1 )
|
|
{
|
|
return getContinuousSize_(m1.flags,
|
|
m1.cols, m1.rows, widthScale);
|
|
}
|
|
|
|
inline Size getContinuousSize( const Mat& m1, const Mat& m2, int widthScale=1 )
|
|
{
|
|
return getContinuousSize_(m1.flags & m2.flags,
|
|
m1.cols, m1.rows, widthScale);
|
|
}
|
|
|
|
inline Size getContinuousSize( const Mat& m1, const Mat& m2,
|
|
const Mat& m3, int widthScale=1 )
|
|
{
|
|
return getContinuousSize_(m1.flags & m2.flags & m3.flags,
|
|
m1.cols, m1.rows, widthScale);
|
|
}
|
|
|
|
inline Size getContinuousSize( const Mat& m1, const Mat& m2,
|
|
const Mat& m3, const Mat& m4,
|
|
int widthScale=1 )
|
|
{
|
|
return getContinuousSize_(m1.flags & m2.flags & m3.flags & m4.flags,
|
|
m1.cols, m1.rows, widthScale);
|
|
}
|
|
|
|
inline Size getContinuousSize( const Mat& m1, const Mat& m2,
|
|
const Mat& m3, const Mat& m4,
|
|
const Mat& m5, int widthScale=1 )
|
|
{
|
|
return getContinuousSize_(m1.flags & m2.flags & m3.flags & m4.flags & m5.flags,
|
|
m1.cols, m1.rows, widthScale);
|
|
}
|
|
|
|
struct NoVec
|
|
{
|
|
size_t operator()(const void*, const void*, void*, size_t) const { return 0; }
|
|
};
|
|
|
|
extern volatile bool USE_SSE2;
|
|
extern volatile bool USE_SSE4_2;
|
|
extern volatile bool USE_AVX;
|
|
extern volatile bool USE_AVX2;
|
|
|
|
enum { BLOCK_SIZE = 1024 };
|
|
|
|
#if defined HAVE_IPP && (IPP_VERSION_MAJOR >= 7)
|
|
#define ARITHM_USE_IPP 1
|
|
#else
|
|
#define ARITHM_USE_IPP 0
|
|
#endif
|
|
|
|
inline bool checkScalar(const Mat& sc, int atype, int sckind, int akind)
|
|
{
|
|
if( sc.dims > 2 || !sc.isContinuous() )
|
|
return false;
|
|
Size sz = sc.size();
|
|
if(sz.width != 1 && sz.height != 1)
|
|
return false;
|
|
int cn = CV_MAT_CN(atype);
|
|
if( akind == _InputArray::MATX && sckind != _InputArray::MATX )
|
|
return false;
|
|
return sz == Size(1, 1) || sz == Size(1, cn) || sz == Size(cn, 1) ||
|
|
(sz == Size(1, 4) && sc.type() == CV_64F && cn <= 4);
|
|
}
|
|
|
|
inline bool checkScalar(InputArray sc, int atype, int sckind, int akind)
|
|
{
|
|
if( sc.dims() > 2 || !sc.isContinuous() )
|
|
return false;
|
|
Size sz = sc.size();
|
|
if(sz.width != 1 && sz.height != 1)
|
|
return false;
|
|
int cn = CV_MAT_CN(atype);
|
|
if( akind == _InputArray::MATX && sckind != _InputArray::MATX )
|
|
return false;
|
|
return sz == Size(1, 1) || sz == Size(1, cn) || sz == Size(cn, 1) ||
|
|
(sz == Size(1, 4) && sc.type() == CV_64F && cn <= 4);
|
|
}
|
|
|
|
void convertAndUnrollScalar( const Mat& sc, int buftype, uchar* scbuf, size_t blocksize );
|
|
|
|
#ifdef CV_COLLECT_IMPL_DATA
|
|
struct ImplCollector
|
|
{
|
|
ImplCollector()
|
|
{
|
|
useCollection = false;
|
|
implFlags = 0;
|
|
}
|
|
bool useCollection; // enable/disable impl data collection
|
|
|
|
int implFlags;
|
|
std::vector<int> implCode;
|
|
std::vector<String> implFun;
|
|
|
|
cv::Mutex mutex;
|
|
};
|
|
#endif
|
|
|
|
struct CoreTLSData
|
|
{
|
|
CoreTLSData() : device(0), useOpenCL(-1), useIPP(-1)
|
|
{
|
|
#ifdef HAVE_TEGRA_OPTIMIZATION
|
|
useTegra = -1;
|
|
#endif
|
|
}
|
|
|
|
RNG rng;
|
|
int device;
|
|
ocl::Queue oclQueue;
|
|
int useOpenCL; // 1 - use, 0 - do not use, -1 - auto/not initialized
|
|
int useIPP; // 1 - use, 0 - do not use, -1 - auto/not initialized
|
|
#ifdef HAVE_TEGRA_OPTIMIZATION
|
|
int useTegra; // 1 - use, 0 - do not use, -1 - auto/not initialized
|
|
#endif
|
|
};
|
|
|
|
TLSData<CoreTLSData>& getCoreTlsData();
|
|
|
|
#if defined(BUILD_SHARED_LIBS)
|
|
#if defined WIN32 || defined _WIN32 || defined WINCE
|
|
#define CL_RUNTIME_EXPORT __declspec(dllexport)
|
|
#elif defined __GNUC__ && __GNUC__ >= 4
|
|
#define CL_RUNTIME_EXPORT __attribute__ ((visibility ("default")))
|
|
#else
|
|
#define CL_RUNTIME_EXPORT
|
|
#endif
|
|
#else
|
|
#define CL_RUNTIME_EXPORT
|
|
#endif
|
|
|
|
extern bool __termination; // skip some cleanups, because process is terminating
|
|
// (for example, if ExitProcess() was already called)
|
|
|
|
cv::Mutex& getInitializationMutex();
|
|
|
|
// TODO Memory barriers?
|
|
#define CV_SINGLETON_LAZY_INIT_(TYPE, INITIALIZER, RET_VALUE) \
|
|
static TYPE* volatile instance = NULL; \
|
|
if (instance == NULL) \
|
|
{ \
|
|
cv::AutoLock lock(cv::getInitializationMutex()); \
|
|
if (instance == NULL) \
|
|
instance = INITIALIZER; \
|
|
} \
|
|
return RET_VALUE;
|
|
|
|
#define CV_SINGLETON_LAZY_INIT(TYPE, INITIALIZER) CV_SINGLETON_LAZY_INIT_(TYPE, INITIALIZER, instance)
|
|
#define CV_SINGLETON_LAZY_INIT_REF(TYPE, INITIALIZER) CV_SINGLETON_LAZY_INIT_(TYPE, INITIALIZER, *instance)
|
|
|
|
}
|
|
|
|
#include "opencv2/hal/intrin.hpp"
|
|
|
|
#endif /*_CXCORE_INTERNAL_H_*/
|