來研究一下opencv中的Ptr類,所謂的智能指針...
//////////////////// generic_type ref-counting pointer class for C/C++ objects ////////////////////////
/*!
Smart pointer to dynamically allocated objects.
This is template pointer-wrapping class that stores the associated reference counter along with the
object pointer. The class is similar to std::smart_ptr<> from the recent addons to the C++ standard,
but is shorter to write :) and self-contained (i.e. does add any dependency on the compiler or an external library).
Basically, you can use "Ptr<MyObjectType> ptr" (or faster "const Ptr<MyObjectType>& ptr" for read-only access)
everywhere instead of "MyObjectType* ptr", where MyObjectType is some C structure or a C++ class.
To make it all work, you need to specialize Ptr<>::delete_obj(), like:
\code
template<> void Ptr<MyObjectType>::delete_obj() { call_destructor_func(obj); }
\endcode
\note{if MyObjectType is a C++ class with a destructor, you do not need to specialize delete_obj(),
since the default implementation calls "delete obj;"}
\note{Another good property of the class is that the operations on the reference counter are atomic,
i.e. it is safe to use the class in multi-threaded applications}
*/
template<typename _Tp> class CV_EXPORTS Ptr
{
public:
//! empty constructor
Ptr();
//! take ownership of the pointer. The associated reference counter is allocated and set to 1
Ptr(_Tp* _obj);
//! calls release()
~Ptr();
//! copy constructor. Copies the members and calls addref()
Ptr(const Ptr& ptr);
//! copy operator. Calls ptr.addref() and release() before copying the members
Ptr& operator = (const Ptr& ptr);
//! increments the reference counter
void addref();
//! decrements the reference counter. If it reaches 0, delete_obj() is called
void release();
//! deletes the object. Override if needed
void delete_obj();
//! returns true iff obj==NULL
bool empty() const;
//! helper operators making "Ptr<T> ptr" use very similar to "T* ptr".
_Tp* operator -> ();
const _Tp* operator -> () const;
operator _Tp* ();
operator const _Tp*() const;
protected:
_Tp* obj; //< the object pointer.
int* refcount; //< the associated reference counter
};
所謂的智能指針,其實就是模板參數可以是任意的c++類,但考慮到對象在使用完畢的時候需要析構,因此要求特化delete_obj()函數。
接下來看源碼
template<typename _Tp> inline Ptr<_Tp>::Ptr() : obj(0), refcount(0) {}
template<typename _Tp> inline Ptr<_Tp>::Ptr(_Tp* _obj) : obj(_obj)
{
if(obj)
{
refcount = (int*)fastMalloc(sizeof(*refcount));
*refcount = 1;
}
else
refcount = 0;
}
obj顯然是指向對象的指針,refcount是引用數,默認構造函數就構造了一個空對象,帶參數的構造函數則需要動態分配內存,當然如果參數傳入NULL的話,就與默認構造函數沒有區別了...注意這裏使用了fastMalloc這個函數,使用了對齊指針的技術...
void* fastMalloc( size_t size )
{
uchar* udata = (uchar*)malloc(size + sizeof(void*) + CV_MALLOC_ALIGN);
if(!udata)
return OutOfMemoryError(size);
uchar** adata = alignPtr((uchar**)udata + 1, CV_MALLOC_ALIGN);
adata[-1] = udata;
return adata;
}
void fastFree(void* ptr)
{
if(ptr)
{
uchar* udata = ((uchar**)ptr)[-1];
CV_DbgAssert(udata < (uchar*)ptr &&
((uchar*)ptr - udata) <= (ptrdiff_t)(sizeof(void*)+CV_MALLOC_ALIGN));
free(udata);
}
}
其實內存多開了20字節的空間,其中4字節是用來存儲這塊空間的首地址的,用於釋放空間時使用,還有16字節是用來調節地址,使地址達到16的倍數,CV_MALLOC_ALIGN在這裏是16.
看一下alignPtr這個就是將地址向上調整至16的倍數,udata+1這裏是指針加法,其實加的是sizeof(uchar**) 也就是4,這個4字節就是用來存首地址的,爲什麼要強轉成uchar**,因爲要訪問這4個字節的內容,這個內容是個首地址,於是就是二級指針了。adata[-1]爲什麼這樣?因爲它先留出4字節之後在調整地址至16倍數,也就是實際存儲數據的地址前還有至少4字節的空間,-1就是向前4字節,這個用來存首地址...
具體參考這篇博客http://blog.csdn.net/lming_08/article/details/26821963?utm_source=tuicool&utm_medium=referral
這個也值得學習
template<typename _Tp> inline void Ptr<_Tp>::addref()
{ if( refcount ) CV_XADD(refcount, 1); }
CV_XADD實際上是一個宏,對應了無鎖化編程,類似後置自增運算,返回原值之後再增加,不過這個無鎖化可以用於多線程編程,用戶自己無需再維護鎖了。
具體參考這篇博客:http://blog.csdn.net/hzhsan/article/details/25124901
template<typename _Tp> inline void Ptr<_Tp>::release()
{
if( refcount && CV_XADD(refcount, -1) == 1 )
{
delete_obj();
fastFree(refcount);
}
refcount = 0;
obj = 0;
}
template<typename _Tp> inline void Ptr<_Tp>::delete_obj()
{
if( obj ) delete obj;
}
template<typename _Tp> inline Ptr<_Tp>::~Ptr() { release(); }
注意這裏的delete_obj是個泛化版本,對於無法delete的,需要實現一個特化版本。
其他構造函數
template<typename _Tp> inline Ptr<_Tp>::Ptr(const Ptr<_Tp>& ptr)
{
obj = ptr.obj;
refcount = ptr.refcount;
addref();
}
template<typename _Tp> inline Ptr<_Tp>& Ptr<_Tp>::operator = (const Ptr<_Tp>& ptr)
{
int* _refcount = ptr.refcount;
if( _refcount )
CV_XADD(_refcount, 1);
release();
obj = ptr.obj;
refcount = _refcount;
return *this;
}
注意拷貝構造函數,參數對應的對象無需釋放,所以引用數加1,而賦值構造函數則需要先釋放掉參數對應的對象,這是區別。
template<typename _Tp> inline _Tp* Ptr<_Tp>::operator -> () { return obj; }
template<typename _Tp> inline const _Tp* Ptr<_Tp>::operator -> () const { return obj; }
template<typename _Tp> inline Ptr<_Tp>::operator _Tp* () { return obj; }
template<typename _Tp> inline Ptr<_Tp>::operator const _Tp*() const { return obj; }
template<typename _Tp> inline bool Ptr<_Tp>::empty() const { return obj == 0; }
關於->的重載非常奇怪,竟然無參數的,返回值必須是object*,但是->貌似又被object*共用去訪問成員了...
具體參考這篇博客:http://blog.csdn.net/zhuxiufenghust/article/details/5708167
到此爲止,我們大概知道如何自己實現一個智能指針類了...