cv :: Mat_到std :: vector的转换 [英] cv::Mat_ to std::vector conversion
问题描述
我使用OpenCV 2.0,在cv::Mat_<_Tp>
类中有一个方法:
I use OpenCV 2.0, there is a method in the cv::Mat_<_Tp>
class:
// conversion to vector.
operator vector<_Tp>() const;
实例化后,该实现将无法在MSVS 2005上编译:
When instantiated, the implementation does not compile on MSVS 2005:
template<typename _Tp> inline Mat_<_Tp>::operator vector<_Tp>() const
{
CV_Assert( rows == 1 || cols == 1 );
return isContinuous() ? vector<_Tp>((size_t)(rows + cols - 1), (_Tp*)data) :
(vector<_Tp>)((Mat_<_Tp>)this->t());
}
是std::vector
的新式构造函数,它从TR1或其他工具中获取了size_t
和_Tp*
吗?
Is it a new fancy constructor of std::vector
that takes size_t
and _Tp*
from TR1 or something?
我认为他们可以通过迭代器来初始化矢量:
I thought they could just initialize the vector by an iterator instead:
vector<_Tp>((_Tp*)data, (_Tp*)data + rows + cols - 1)
是错误,还是我不知道什么?
Is it a bug, or don't I know something?
UPD.编译器错误文字:
UPD. Compiler error text:
...\lib\opencv\include\opencv\cxmat.hpp(691) : error C2665: 'std::vector<_Ty>::vector' : none of the 6 overloads could convert all the argument types
with
[
_Ty=double
]
c:\program files\microsoft visual studio 8\vc\include\vector(473): could be 'std::vector<_Ty>::vector(__w64 unsigned int,const _Ty &)'
with
[
_Ty=double
]
while trying to match the argument list '(size_t, double *)'
...\lib\opencv\include\opencv\cxmat.hpp(689) : while compiling class template member function 'cv::Mat_<_Tp>::operator std::vector<_Ty>(void) const'
with
[
_Tp=double,
_Ty=double
]
z:\dev\mine\temp\temp\entry.cpp(37) : see reference to class template instantiation 'cv::Mat_<_Tp>' being compiled
with
[
_Tp=double
]
推荐答案
不,在C ++ 0x中有来自rvalues的新构造函数,但与此处使用的构造函数完全不同.
No, there are new constructors from rvalues in C++0x, but nothing like the one used here.
如果isContinuous()表示所有值都相同,则可以使用vector<_Tp>((size_t)(rows + cols - 1), *(_Tp*)data)
复制第一个值.
If isContinuous() means that all vales are the same, you could possibly use vector<_Tp>((size_t)(rows + cols - 1), *(_Tp*)data)
to make copies of the first value.
否则,您的迭代器版本似乎正确.
Your iterator version seems correct otherwise.
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