LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
LSSTDataManagementBasePackage
LinearTransform.cc
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1 /*
2  * Developed for the LSST Data Management System.
3  * This product includes software developed by the LSST Project
4  * (https://www.lsst.org).
5  * See the COPYRIGHT file at the top-level directory of this distribution
6  * for details of code ownership.
7  *
8  * This program is free software: you can redistribute it and/or modify
9  * it under the terms of the GNU General Public License as published by
10  * the Free Software Foundation, either version 3 of the License, or
11  * (at your option) any later version.
12  *
13  * This program is distributed in the hope that it will be useful,
14  * but WITHOUT ANY WARRANTY; without even the implied warranty of
15  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16  * GNU General Public License for more details.
17  *
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19  * along with this program. If not, see <https://www.gnu.org/licenses/>.
20  */
21 
22 #include <iostream>
23 #include <iomanip>
24 
25 #include "Eigen/LU"
26 
28 
29 namespace lsst {
30 namespace geom {
31 
34  r << (*this)[XX], (*this)[YX], (*this)[XY], (*this)[YY];
35  return r;
36 }
37 
39  (*this)[XX] = vector[XX];
40  (*this)[XY] = vector[XY];
41  (*this)[YX] = vector[YX];
42  (*this)[YY] = vector[YY];
43 }
44 
46  Eigen::FullPivLU<Matrix> lu(getMatrix());
47  if (!lu.isInvertible()) {
48  throw LSST_EXCEPT(SingularTransformException, "Could not compute LinearTransform inverse");
49  }
50  Matrix inv = lu.inverse();
51  return LinearTransform(inv);
52 }
53 
54 double LinearTransform::computeDeterminant() const noexcept { return getMatrix().determinant(); }
55 
57  TransformDerivativeMatrix r = TransformDerivativeMatrix::Zero();
58  r(0, XX) = input.getX();
59  r(0, XY) = input.getY();
60  r(1, YX) = input.getX();
61  r(1, YY) = input.getY();
62  return r;
63 }
64 
66  std::ios::fmtflags flags = os.flags();
67  int prec = os.precision(7);
68  os.setf(std::ios::fixed);
69  os << "LinearTransform([(" << std::setw(10) << t[LinearTransform::XX] << "," << std::setw(10)
70  << t[LinearTransform::XY] << "),\n";
71  os << " (" << std::setw(10) << t[LinearTransform::YX] << "," << std::setw(10)
72  << t[LinearTransform::YY] << ")])";
73  os.precision(prec);
74  os.flags(flags);
75  return os;
76 }
77 
78 } // namespace geom
79 } // namespace lsst
T setf(T... args)
Eigen::Matrix< double, 2, 4 > TransformDerivativeMatrix
Matrix const & getMatrix() const noexcept
ParameterVector const getParameterVector() const noexcept
Return the transform matrix elements as a parameter vector.
TransformDerivativeMatrix dTransform(Point2D const &input) const noexcept
Derivative of (*this)(input) with respect to the transform elements (for Point).
T precision(T... args)
Eigen::Matrix< double, 2, 2, Eigen::DontAlign > Matrix
T setw(T... args)
T flags(T... args)
A base class for image defects.
LinearTransform() noexcept
Construct an empty (identity) LinearTransform.
std::ostream & operator<<(std::ostream &os, lsst::geom::AffineTransform const &transform)
Eigen::Matrix< double, 4, 1 > ParameterVector
#define LSST_EXCEPT(type,...)
Create an exception with a given type.
Definition: Exception.h:48
double computeDeterminant() const noexcept
Return the determinant of the 2x2 matrix.
LinearTransform const inverted() const
Return the inverse transform.
void setParameterVector(ParameterVector const &vector) noexcept
Set the transform matrix elements from a parameter vector.
std::ostream * os
Definition: Schema.cc:746
STL class.
A 2D linear coordinate transformation.