Move cv::Scalar_ to types.hpp
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6ceca90c44
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5e7ab8baf3
@ -1833,7 +1833,7 @@ cvDrawChessboardCorners( CvArr* _image, CvSize pattern_size,
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if( !found )
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{
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CvScalar color = {{0,0,255}};
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CvScalar color(0,0,255,0);
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if( cn == 1 )
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color = cvScalarAll(200);
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color.val[0] *= scale;
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@ -1860,13 +1860,13 @@ cvDrawChessboardCorners( CvArr* _image, CvSize pattern_size,
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const int line_max = 7;
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static const CvScalar line_colors[line_max] =
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{
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{{0,0,255}},
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{{0,128,255}},
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{{0,200,200}},
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{{0,255,0}},
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{{200,200,0}},
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{{255,0,0}},
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{{255,0,255}}
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CvScalar(0,0,255),
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CvScalar(0,128,255),
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CvScalar(0,200,200),
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CvScalar(0,255,0),
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CvScalar(200,200,0),
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CvScalar(255,0,0),
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CvScalar(255,0,255)
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};
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for( y = 0, i = 0; y < pattern_size.height; y++ )
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@ -455,8 +455,6 @@ public:
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Vec cross(const Vec& v) const;
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//! convertion to another data type
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template<typename T2> operator Vec<T2, cn>() const;
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//! conversion to 4-element CvScalar.
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operator CvScalar() const;
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/*! element access */
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const _Tp& operator [](int i) const;
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@ -503,43 +501,6 @@ typedef Vec<double, 4> Vec4d;
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typedef Vec<double, 6> Vec6d;
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//////////////////////////////// Scalar_ ///////////////////////////////
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/*!
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The template scalar class.
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This is partially specialized cv::Vec class with the number of elements = 4, i.e. a short vector of four elements.
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Normally, cv::Scalar ~ cv::Scalar_<double> is used.
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*/
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template<typename _Tp> class CV_EXPORTS Scalar_ : public Vec<_Tp, 4>
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{
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public:
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//! various constructors
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Scalar_();
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Scalar_(_Tp v0, _Tp v1, _Tp v2=0, _Tp v3=0);
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Scalar_(const CvScalar& s);
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Scalar_(_Tp v0);
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//! returns a scalar with all elements set to v0
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static Scalar_<_Tp> all(_Tp v0);
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//! conversion to the old-style CvScalar
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operator CvScalar() const;
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//! conversion to another data type
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template<typename T2> operator Scalar_<T2>() const;
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//! per-element product
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Scalar_<_Tp> mul(const Scalar_<_Tp>& t, double scale=1 ) const;
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// returns (v0, -v1, -v2, -v3)
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Scalar_<_Tp> conj() const;
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// returns true iff v1 == v2 == v3 == 0
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bool isReal() const;
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};
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typedef Scalar_<double> Scalar;
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CV_EXPORTS void scalarToRawData(const Scalar& s, void* buf, int type, int unroll_to=0);
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@ -570,19 +531,6 @@ public:
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};
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template<typename _Tp> class DataType<Scalar_<_Tp> >
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{
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public:
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typedef Scalar_<_Tp> value_type;
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typedef Scalar_<typename DataType<_Tp>::work_type> work_type;
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typedef _Tp channel_type;
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enum { generic_type = 0, depth = DataDepth<channel_type>::value, channels = 4,
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fmt = ((channels-1)<<8) + DataDepth<channel_type>::fmt,
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type = CV_MAKETYPE(depth, channels) };
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typedef Vec<channel_type, channels> vec_type;
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};
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//////////////////// generic_type ref-counting pointer class for C/C++ objects ////////////////////////
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/*!
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@ -1171,15 +1171,6 @@ inline Vec<_Tp, cn>::operator Vec<T2, cn>() const
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return v;
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}
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template<typename _Tp, int cn> inline Vec<_Tp, cn>::operator CvScalar() const
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{
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CvScalar s = {{0,0,0,0}};
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int i;
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for( i = 0; i < std::min(cn, 4); i++ ) s.val[i] = this->val[i];
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for( ; i < 4; i++ ) s.val[i] = 0;
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return s;
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}
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template<typename _Tp, int cn> inline const _Tp& Vec<_Tp, cn>::operator [](int i) const
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{
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CV_DbgAssert( (unsigned)i < (unsigned)cn );
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@ -1894,12 +1885,11 @@ template<typename _Tp> inline Scalar_<_Tp>::Scalar_()
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template<typename _Tp> inline Scalar_<_Tp>::Scalar_(_Tp v0, _Tp v1, _Tp v2, _Tp v3)
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{ this->val[0] = v0; this->val[1] = v1; this->val[2] = v2; this->val[3] = v3; }
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template<typename _Tp> inline Scalar_<_Tp>::Scalar_(const CvScalar& s)
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template<typename _Tp> template<typename _Tp2, int cn> inline Scalar_<_Tp>::Scalar_(const Vec<_Tp2, cn>& v)
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{
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this->val[0] = saturate_cast<_Tp>(s.val[0]);
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this->val[1] = saturate_cast<_Tp>(s.val[1]);
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this->val[2] = saturate_cast<_Tp>(s.val[2]);
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this->val[3] = saturate_cast<_Tp>(s.val[3]);
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int i;
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for( i = 0; i < (cn < 4 ? cn : 4); i++ ) this->val[i] = cv::saturate_cast<_Tp>(v.val[i]);
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for( ; i < 4; i++ ) this->val[i] = 0;
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}
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template<typename _Tp> inline Scalar_<_Tp>::Scalar_(_Tp v0)
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@ -1907,8 +1897,6 @@ template<typename _Tp> inline Scalar_<_Tp>::Scalar_(_Tp v0)
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template<typename _Tp> inline Scalar_<_Tp> Scalar_<_Tp>::all(_Tp v0)
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{ return Scalar_<_Tp>(v0, v0, v0, v0); }
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template<typename _Tp> inline Scalar_<_Tp>::operator CvScalar() const
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{ return cvScalar(this->val[0], this->val[1], this->val[2], this->val[3]); }
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template<typename _Tp> template<typename T2> inline Scalar_<_Tp>::operator Scalar_<T2>() const
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{
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@ -521,6 +521,68 @@ public:
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//////////////////////////////// Scalar_ ///////////////////////////////
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/*!
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The template scalar class.
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This is partially specialized cv::Vec class with the number of elements = 4, i.e. a short vector of four elements.
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Normally, cv::Scalar ~ cv::Scalar_<double> is used.
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*/
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template<typename _Tp> class CV_EXPORTS Scalar_ : public Vec<_Tp, 4>
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{
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public:
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//! various constructors
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Scalar_();
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Scalar_(_Tp v0, _Tp v1, _Tp v2=0, _Tp v3=0);
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Scalar_(_Tp v0);
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template<typename _Tp2, int cn>
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Scalar_(const Vec<_Tp2, cn>& v);
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//! returns a scalar with all elements set to v0
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static Scalar_<_Tp> all(_Tp v0);
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//! conversion to another data type
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template<typename T2> operator Scalar_<T2>() const;
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//! per-element product
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Scalar_<_Tp> mul(const Scalar_<_Tp>& t, double scale=1 ) const;
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// returns (v0, -v1, -v2, -v3)
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Scalar_<_Tp> conj() const;
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// returns true iff v1 == v2 == v3 == 0
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bool isReal() const;
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};
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/*!
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\typedef
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*/
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typedef Scalar_<double> Scalar;
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/*!
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traits
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*/
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template<typename _Tp> class DataType< Scalar_<_Tp> >
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{
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public:
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typedef Scalar_<_Tp> value_type;
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typedef Scalar_<typename DataType<_Tp>::work_type> work_type;
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typedef _Tp channel_type;
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enum { generic_type = 0,
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depth = DataType<channel_type>::value,
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channels = 4,
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fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
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type = CV_MAKETYPE(depth, channels)
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};
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typedef Vec<channel_type, channels> vec_type;
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};
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/////////////////////////////// KeyPoint ////////////////////////////////
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/*!
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@ -1014,6 +1014,22 @@ CV_INLINE CvSlice cvSlice( int start, int end )
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typedef struct CvScalar
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{
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double val[4];
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#ifdef __cplusplus
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CvScalar() {}
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CvScalar(double d0, double d1 = 0, double d2 = 0, double d3 = 0) { val[0] = d0; val[1] = d1; val[2] = d2; val[3] = d3; }
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template<typename _Tp>
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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]; }
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template<typename _Tp>
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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])); }
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template<typename _Tp, int cn>
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CvScalar(const cv::Vec<_Tp, cn>& v)
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{
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int i;
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for( i = 0; i < (cn < 4 ? cn : 4); i++ ) val[i] = v.val[i];
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for( ; i < 4; i++ ) val[i] = 0;
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}
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#endif
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}
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CvScalar;
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@ -1910,7 +1910,7 @@ cvPtrND( const CvArr* arr, const int* idx, int* _type,
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CV_IMPL CvScalar
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cvGet1D( const CvArr* arr, int idx )
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{
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CvScalar scalar = {{0,0,0,0}};
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CvScalar scalar(0);
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int type = 0;
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uchar* ptr;
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@ -1945,7 +1945,7 @@ cvGet1D( const CvArr* arr, int idx )
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CV_IMPL CvScalar
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cvGet2D( const CvArr* arr, int y, int x )
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{
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CvScalar scalar = {{0,0,0,0}};
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CvScalar scalar(0);
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int type = 0;
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uchar* ptr;
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@ -1979,7 +1979,7 @@ cvGet2D( const CvArr* arr, int y, int x )
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CV_IMPL CvScalar
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cvGet3D( const CvArr* arr, int z, int y, int x )
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{
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CvScalar scalar = {{0,0,0,0}};
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CvScalar scalar(0);
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int type = 0;
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uchar* ptr;
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@ -2001,7 +2001,7 @@ cvGet3D( const CvArr* arr, int z, int y, int x )
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CV_IMPL CvScalar
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cvGetND( const CvArr* arr, const int* idx )
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{
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CvScalar scalar = {{0,0,0,0}};
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CvScalar scalar(0);
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int type = 0;
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uchar* ptr;
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@ -545,7 +545,7 @@ void Core_CrossProductTest::run_func()
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void Core_CrossProductTest::prepare_to_validation( int )
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{
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CvScalar a = {{0,0,0,0}}, b = {{0,0,0,0}}, c = {{0,0,0,0}};
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CvScalar a(0), b(0), c(0);
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if( test_mat[INPUT][0].rows > 1 )
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{
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@ -192,8 +192,8 @@ static void cvTsMatchTemplate( const CvMat* img, const CvMat* templ, CvMat* resu
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{
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for( j = 0; j < result->cols; j++ )
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{
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CvScalar a_sum = {{ 0, 0, 0, 0 }}, a_sum2 = {{ 0, 0, 0, 0 }};
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CvScalar ccorr = {{ 0, 0, 0, 0 }};
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CvScalar a_sum(0), a_sum2(0);
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CvScalar ccorr(0);
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double value = 0.;
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if( depth == CV_8U )
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@ -322,16 +322,18 @@ static void DrawEtalon(IplImage *img, CvPoint2D32f *corners,
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int i;
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int x, y;
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CvPoint prev_pt;
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static const CvScalar rgb_colors[] = {
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{{0,0,255}},
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{{0,128,255}},
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{{0,200,200}},
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{{0,255,0}},
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{{200,200,0}},
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{{255,0,0}},
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{{255,0,255}} };
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static const CvScalar rgb_colors[] =
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{
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CvScalar(0,0,255),
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CvScalar(0,128,255),
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CvScalar(0,200,200),
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CvScalar(0,255,0),
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CvScalar(200,200,0),
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CvScalar(255,0,0),
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CvScalar(255,0,255)
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};
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static const CvScalar gray_colors[] = {
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{{80}}, {{120}}, {{160}}, {{200}}, {{100}}, {{140}}, {{180}}
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CvScalar(80), CvScalar(120), CvScalar(160), CvScalar(200), CvScalar(100), CvScalar(140), CvScalar(180)
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};
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const CvScalar* colors = img->nChannels == 3 ? rgb_colors : gray_colors;
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@ -546,13 +546,13 @@ void CvCalibFilter::DrawPoints( CvMat** dstarr )
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static const CvScalar line_colors[] =
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{
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{{0,0,255}},
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{{0,128,255}},
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{{0,200,200}},
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{{0,255,0}},
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{{200,200,0}},
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{{255,0,0}},
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{{255,0,255}}
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CvScalar(0,0,255),
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CvScalar(0,128,255),
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CvScalar(0,200,200),
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CvScalar(0,255,0),
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CvScalar(200,200,0),
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CvScalar(255,0,0),
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CvScalar(255,0,255)
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};
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const int colorCount = sizeof(line_colors)/sizeof(line_colors[0]);
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@ -833,7 +833,7 @@ draw_subdiv_facet( CvSubdiv2D * subdiv, IplImage * dst, IplImage * src, CvSubdiv
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{
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CvSubdiv2DPoint *pt = cvSubdiv2DEdgeDst( cvSubdiv2DRotateEdge( edge, 1 ));
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CvPoint ip = cvPoint( cvRound( pt->pt.x ), cvRound( pt->pt.y ));
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CvScalar color = {{0,0,0,0}};
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CvScalar color(0);
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//printf("count = %d, (%d,%d)\n", ip.x, ip.y );
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@ -684,6 +684,11 @@ static inline PyObject* pyopencv_from(const Vec3d& v)
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return Py_BuildValue("(ddd)", v[0], v[1], v[2]);
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}
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static inline PyObject* pyopencv_from(const Vec2d& v)
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{
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return Py_BuildValue("(dd)", v[0], v[1]);
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}
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static inline PyObject* pyopencv_from(const Point2d& p)
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{
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return Py_BuildValue("(dd)", p.x, p.y);
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@ -231,17 +231,17 @@ int main(int argc, char** argv)
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cvNamedWindow("Object", 1);
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cvNamedWindow("Object Correspond", 1);
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static CvScalar colors[] =
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static cv::Scalar colors[] =
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{
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{{0,0,255}},
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{{0,128,255}},
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{{0,255,255}},
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{{0,255,0}},
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{{255,128,0}},
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{{255,255,0}},
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{{255,0,0}},
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{{255,0,255}},
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{{255,255,255}}
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cv::Scalar(0,0,255),
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cv::Scalar(0,128,255),
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cv::Scalar(0,255,255),
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cv::Scalar(0,255,0),
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cv::Scalar(255,128,0),
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cv::Scalar(255,255,0),
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cv::Scalar(255,0,0),
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cv::Scalar(255,0,255),
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cv::Scalar(255,255,255)
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};
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IplImage* object_color = cvCreateImage(cvGetSize(object), 8, 3);
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