Move cv::Scalar_ to types.hpp

This commit is contained in:
Andrey Kamaev
2013-03-27 14:58:57 +04:00
parent 6ceca90c44
commit 5e7ab8baf3
13 changed files with 131 additions and 110 deletions

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@@ -455,8 +455,6 @@ public:
Vec cross(const Vec& v) const;
//! convertion to another data type
template<typename T2> operator Vec<T2, cn>() const;
//! conversion to 4-element CvScalar.
operator CvScalar() const;
/*! element access */
const _Tp& operator [](int i) const;
@@ -503,43 +501,6 @@ typedef Vec<double, 4> Vec4d;
typedef Vec<double, 6> Vec6d;
//////////////////////////////// Scalar_ ///////////////////////////////
/*!
The template scalar class.
This is partially specialized cv::Vec class with the number of elements = 4, i.e. a short vector of four elements.
Normally, cv::Scalar ~ cv::Scalar_<double> is used.
*/
template<typename _Tp> class CV_EXPORTS Scalar_ : public Vec<_Tp, 4>
{
public:
//! various constructors
Scalar_();
Scalar_(_Tp v0, _Tp v1, _Tp v2=0, _Tp v3=0);
Scalar_(const CvScalar& s);
Scalar_(_Tp v0);
//! returns a scalar with all elements set to v0
static Scalar_<_Tp> all(_Tp v0);
//! conversion to the old-style CvScalar
operator CvScalar() const;
//! conversion to another data type
template<typename T2> operator Scalar_<T2>() const;
//! per-element product
Scalar_<_Tp> mul(const Scalar_<_Tp>& t, double scale=1 ) const;
// returns (v0, -v1, -v2, -v3)
Scalar_<_Tp> conj() const;
// returns true iff v1 == v2 == v3 == 0
bool isReal() const;
};
typedef Scalar_<double> Scalar;
CV_EXPORTS void scalarToRawData(const Scalar& s, void* buf, int type, int unroll_to=0);
@@ -570,19 +531,6 @@ public:
};
template<typename _Tp> class DataType<Scalar_<_Tp> >
{
public:
typedef Scalar_<_Tp> value_type;
typedef Scalar_<typename DataType<_Tp>::work_type> work_type;
typedef _Tp channel_type;
enum { generic_type = 0, depth = DataDepth<channel_type>::value, channels = 4,
fmt = ((channels-1)<<8) + DataDepth<channel_type>::fmt,
type = CV_MAKETYPE(depth, channels) };
typedef Vec<channel_type, channels> vec_type;
};
//////////////////// generic_type ref-counting pointer class for C/C++ objects ////////////////////////
/*!

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@@ -1171,15 +1171,6 @@ inline Vec<_Tp, cn>::operator Vec<T2, cn>() const
return v;
}
template<typename _Tp, int cn> inline Vec<_Tp, cn>::operator CvScalar() const
{
CvScalar s = {{0,0,0,0}};
int i;
for( i = 0; i < std::min(cn, 4); i++ ) s.val[i] = this->val[i];
for( ; i < 4; i++ ) s.val[i] = 0;
return s;
}
template<typename _Tp, int cn> inline const _Tp& Vec<_Tp, cn>::operator [](int i) const
{
CV_DbgAssert( (unsigned)i < (unsigned)cn );
@@ -1894,12 +1885,11 @@ template<typename _Tp> inline Scalar_<_Tp>::Scalar_()
template<typename _Tp> inline Scalar_<_Tp>::Scalar_(_Tp v0, _Tp v1, _Tp v2, _Tp v3)
{ this->val[0] = v0; this->val[1] = v1; this->val[2] = v2; this->val[3] = v3; }
template<typename _Tp> inline Scalar_<_Tp>::Scalar_(const CvScalar& s)
template<typename _Tp> template<typename _Tp2, int cn> inline Scalar_<_Tp>::Scalar_(const Vec<_Tp2, cn>& v)
{
this->val[0] = saturate_cast<_Tp>(s.val[0]);
this->val[1] = saturate_cast<_Tp>(s.val[1]);
this->val[2] = saturate_cast<_Tp>(s.val[2]);
this->val[3] = saturate_cast<_Tp>(s.val[3]);
int i;
for( i = 0; i < (cn < 4 ? cn : 4); i++ ) this->val[i] = cv::saturate_cast<_Tp>(v.val[i]);
for( ; i < 4; i++ ) this->val[i] = 0;
}
template<typename _Tp> inline Scalar_<_Tp>::Scalar_(_Tp v0)
@@ -1907,8 +1897,6 @@ template<typename _Tp> inline Scalar_<_Tp>::Scalar_(_Tp v0)
template<typename _Tp> inline Scalar_<_Tp> Scalar_<_Tp>::all(_Tp v0)
{ return Scalar_<_Tp>(v0, v0, v0, v0); }
template<typename _Tp> inline Scalar_<_Tp>::operator CvScalar() const
{ return cvScalar(this->val[0], this->val[1], this->val[2], this->val[3]); }
template<typename _Tp> template<typename T2> inline Scalar_<_Tp>::operator Scalar_<T2>() const
{

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@@ -521,6 +521,68 @@ public:
//////////////////////////////// Scalar_ ///////////////////////////////
/*!
The template scalar class.
This is partially specialized cv::Vec class with the number of elements = 4, i.e. a short vector of four elements.
Normally, cv::Scalar ~ cv::Scalar_<double> is used.
*/
template<typename _Tp> class CV_EXPORTS Scalar_ : public Vec<_Tp, 4>
{
public:
//! various constructors
Scalar_();
Scalar_(_Tp v0, _Tp v1, _Tp v2=0, _Tp v3=0);
Scalar_(_Tp v0);
template<typename _Tp2, int cn>
Scalar_(const Vec<_Tp2, cn>& v);
//! returns a scalar with all elements set to v0
static Scalar_<_Tp> all(_Tp v0);
//! conversion to another data type
template<typename T2> operator Scalar_<T2>() const;
//! per-element product
Scalar_<_Tp> mul(const Scalar_<_Tp>& t, double scale=1 ) const;
// returns (v0, -v1, -v2, -v3)
Scalar_<_Tp> conj() const;
// returns true iff v1 == v2 == v3 == 0
bool isReal() const;
};
/*!
\typedef
*/
typedef Scalar_<double> Scalar;
/*!
traits
*/
template<typename _Tp> class DataType< Scalar_<_Tp> >
{
public:
typedef Scalar_<_Tp> value_type;
typedef Scalar_<typename DataType<_Tp>::work_type> work_type;
typedef _Tp channel_type;
enum { generic_type = 0,
depth = DataType<channel_type>::value,
channels = 4,
fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
type = CV_MAKETYPE(depth, channels)
};
typedef Vec<channel_type, channels> vec_type;
};
/////////////////////////////// KeyPoint ////////////////////////////////
/*!

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@@ -1014,6 +1014,22 @@ CV_INLINE CvSlice cvSlice( int start, int end )
typedef struct CvScalar
{
double val[4];
#ifdef __cplusplus
CvScalar() {}
CvScalar(double d0, double d1 = 0, double d2 = 0, double d3 = 0) { val[0] = d0; val[1] = d1; val[2] = d2; val[3] = d3; }
template<typename _Tp>
CvScalar(const cv::Scalar_<_Tp>& s) { val[0] = s.val[0]; val[1] = s.val[1]; val[2] = s.val[2]; val[3] = s.val[3]; }
template<typename _Tp>
operator cv::Scalar_<_Tp>() const { return cv::Scalar_<_Tp>(cv::saturate_cast<_Tp>(val[0]), cv::saturate_cast<_Tp>(val[1]), cv::saturate_cast<_Tp>(val[2]), cv::saturate_cast<_Tp>(val[3])); }
template<typename _Tp, int cn>
CvScalar(const cv::Vec<_Tp, cn>& v)
{
int i;
for( i = 0; i < (cn < 4 ? cn : 4); i++ ) val[i] = v.val[i];
for( ; i < 4; i++ ) val[i] = 0;
}
#endif
}
CvScalar;