use full qualified name for all internal namespaces to prevent ambiguous symbol errors
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@ -872,8 +872,8 @@ double cv::fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
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if ((flags & CALIB_FIX_INTRINSIC))
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{
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internal::CalibrateExtrinsics(objectPoints, imagePoints1, intrinsicLeft, check_cond, thresh_cond, rvecs1, tvecs1);
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internal::CalibrateExtrinsics(objectPoints, imagePoints2, intrinsicRight, check_cond, thresh_cond, rvecs2, tvecs2);
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cv::internal::CalibrateExtrinsics(objectPoints, imagePoints1, intrinsicLeft, check_cond, thresh_cond, rvecs1, tvecs1);
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cv::internal::CalibrateExtrinsics(objectPoints, imagePoints2, intrinsicRight, check_cond, thresh_cond, rvecs2, tvecs2);
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}
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intrinsicLeft.isEstimate[0] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
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@ -918,8 +918,8 @@ double cv::fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
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om_ref.reshape(3, 1).copyTo(om_list.col(image_idx));
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T_ref.reshape(3, 1).copyTo(T_list.col(image_idx));
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}
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cv::Vec3d omcur = internal::median3d(om_list);
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cv::Vec3d Tcur = internal::median3d(T_list);
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cv::Vec3d omcur = cv::internal::median3d(om_list);
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cv::Vec3d Tcur = cv::internal::median3d(T_list);
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cv::Mat J = cv::Mat::zeros(4 * n_points * n_images, 18 + 6 * (n_images + 1), CV_64FC1),
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e = cv::Mat::zeros(4 * n_points * n_images, 1, CV_64FC1), Jkk, ekk;
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@ -961,7 +961,7 @@ double cv::fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
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jacobians.col(14).copyTo(Jkk.col(4).rowRange(0, 2 * n_points));
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//right camera jacobian
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internal::compose_motion(rvec, tvec, omcur, Tcur, omr, Tr, domrdomckk, domrdTckk, domrdom, domrdT, dTrdomckk, dTrdTckk, dTrdom, dTrdT);
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cv::internal::compose_motion(rvec, tvec, omcur, Tcur, omr, Tr, domrdomckk, domrdTckk, domrdom, domrdT, dTrdomckk, dTrdTckk, dTrdom, dTrdT);
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rvec = cv::Mat(rvecs2[image_idx]);
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tvec = cv::Mat(tvecs2[image_idx]);
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@ -817,7 +817,7 @@ Vec<_Tp, n> Matx<_Tp, m, n>::solve(const Vec<_Tp, m>& rhs, int method) const
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template<typename _Tp, int m> static inline
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double determinant(const Matx<_Tp, m, m>& a)
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{
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return internal::Matx_DetOp<_Tp, m>()(a);
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return cv::internal::Matx_DetOp<_Tp, m>()(a);
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}
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template<typename _Tp, int m, int n> static inline
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@ -960,25 +960,25 @@ Vec<_Tp, cn> Vec<_Tp, cn>::mul(const Vec<_Tp, cn>& v) const
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template<> inline
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Vec<float, 2> Vec<float, 2>::conj() const
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{
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return internal::conjugate(*this);
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return cv::internal::conjugate(*this);
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}
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template<> inline
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Vec<double, 2> Vec<double, 2>::conj() const
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{
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return internal::conjugate(*this);
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return cv::internal::conjugate(*this);
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}
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template<> inline
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Vec<float, 4> Vec<float, 4>::conj() const
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{
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return internal::conjugate(*this);
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return cv::internal::conjugate(*this);
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}
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template<> inline
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Vec<double, 4> Vec<double, 4>::conj() const
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{
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return internal::conjugate(*this);
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return cv::internal::conjugate(*this);
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}
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template<typename _Tp, int cn> inline
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@ -193,7 +193,7 @@ Matx<_Tp, n, m> Matx<_Tp, m, n>::inv(int method, bool *p_is_ok /*= NULL*/) const
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Matx<_Tp, n, m> b;
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bool ok;
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if( method == DECOMP_LU || method == DECOMP_CHOLESKY )
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ok = internal::Matx_FastInvOp<_Tp, m>()(*this, b, method);
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ok = cv::internal::Matx_FastInvOp<_Tp, m>()(*this, b, method);
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else
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{
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Mat A(*this, false), B(b, false);
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@ -209,7 +209,7 @@ Matx<_Tp, n, l> Matx<_Tp, m, n>::solve(const Matx<_Tp, m, l>& rhs, int method) c
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Matx<_Tp, n, l> x;
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bool ok;
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if( method == DECOMP_LU || method == DECOMP_CHOLESKY )
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ok = internal::Matx_FastSolveOp<_Tp, m, l>()(*this, rhs, x, method);
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ok = cv::internal::Matx_FastSolveOp<_Tp, m, l>()(*this, rhs, x, method);
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else
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{
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Mat A(*this, false), B(rhs, false), X(x, false);
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@ -914,7 +914,7 @@ void write(FileStorage& fs, const Range& r )
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template<typename _Tp> static inline
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void write( FileStorage& fs, const std::vector<_Tp>& vec )
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{
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internal::VecWriterProxy<_Tp, DataType<_Tp>::fmt != 0> w(&fs);
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cv::internal::VecWriterProxy<_Tp, DataType<_Tp>::fmt != 0> w(&fs);
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w(vec);
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}
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@ -922,63 +922,63 @@ void write( FileStorage& fs, const std::vector<_Tp>& vec )
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template<typename _Tp> static inline
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void write(FileStorage& fs, const String& name, const Point_<_Tp>& pt )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, pt);
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}
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template<typename _Tp> static inline
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void write(FileStorage& fs, const String& name, const Point3_<_Tp>& pt )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, pt);
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}
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template<typename _Tp> static inline
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void write(FileStorage& fs, const String& name, const Size_<_Tp>& sz )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, sz);
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}
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template<typename _Tp> static inline
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void write(FileStorage& fs, const String& name, const Complex<_Tp>& c )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, c);
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}
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template<typename _Tp> static inline
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void write(FileStorage& fs, const String& name, const Rect_<_Tp>& r )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, r);
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}
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template<typename _Tp, int cn> static inline
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void write(FileStorage& fs, const String& name, const Vec<_Tp, cn>& v )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, v);
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}
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template<typename _Tp> static inline
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void write(FileStorage& fs, const String& name, const Scalar_<_Tp>& s )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, s);
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}
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static inline
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void write(FileStorage& fs, const String& name, const Range& r )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, r);
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}
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template<typename _Tp> static inline
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void write( FileStorage& fs, const String& name, const std::vector<_Tp>& vec )
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{
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internal::WriteStructContext ws(fs, name, FileNode::SEQ+(DataType<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+(DataType<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
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write(fs, vec);
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}
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@ -1030,7 +1030,7 @@ void read(const FileNode& node, short& value, short default_value)
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template<typename _Tp> static inline
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void read( FileNodeIterator& it, std::vector<_Tp>& vec, size_t maxCount = (size_t)INT_MAX )
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{
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internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
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cv::internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
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r(vec, maxCount);
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}
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@ -1101,7 +1101,7 @@ FileNodeIterator& operator >> (FileNodeIterator& it, _Tp& value)
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template<typename _Tp> static inline
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FileNodeIterator& operator >> (FileNodeIterator& it, std::vector<_Tp>& vec)
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{
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internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
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cv::internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
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r(vec, (size_t)INT_MAX);
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return it;
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}
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@ -423,7 +423,7 @@ void AlgorithmInfo::write(const Algorithm* algo, FileStorage& fs) const
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cv::write(fs, pname, algo->get<std::vector<Mat> >(pname));
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else if( p.type == Param::ALGORITHM )
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{
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internal::WriteStructContext ws(fs, pname, CV_NODE_MAP);
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cv::internal::WriteStructContext ws(fs, pname, CV_NODE_MAP);
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Ptr<Algorithm> nestedAlgo = algo->get<Algorithm>(pname);
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nestedAlgo->write(fs);
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}
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@ -5548,7 +5548,7 @@ void read( const FileNode& node, SparseMat& mat, const SparseMat& default_mat )
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void write(FileStorage& fs, const String& objname, const std::vector<KeyPoint>& keypoints)
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{
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internal::WriteStructContext ws(fs, objname, CV_NODE_SEQ + CV_NODE_FLOW);
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cv::internal::WriteStructContext ws(fs, objname, CV_NODE_SEQ + CV_NODE_FLOW);
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int i, npoints = (int)keypoints.size();
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for( i = 0; i < npoints; i++ )
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@ -106,11 +106,11 @@ void cv::cuda::calcNorm(InputArray _src, OutputArray dst, int normType, InputArr
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}
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else if (normType == NORM_L2)
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{
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internal::normL2(src_single_channel, dst, mask, stream);
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cv::cuda::internal::normL2(src_single_channel, dst, mask, stream);
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}
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else // NORM_INF
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{
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internal::findMaxAbs(src_single_channel, dst, mask, stream);
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cv::cuda::internal::findMaxAbs(src_single_channel, dst, mask, stream);
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}
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}
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