Mercurial > hg > orthanc-stone
view OrthancStone/Resources/Computations/ComputeShearParameters.py @ 2031:a56f7ed0cdf9 deep-learning
integration mainline->deep-learning
author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Fri, 23 Dec 2022 17:51:07 +0100 |
parents | 7053b8a0aaec |
children | 07964689cb0b |
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#!/usr/bin/python # Stone of Orthanc # Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics # Department, University Hospital of Liege, Belgium # Copyright (C) 2017-2022 Osimis S.A., Belgium # Copyright (C) 2021-2022 Sebastien Jodogne, ICTEAM UCLouvain, Belgium # # This program is free software: you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public License # as published by the Free Software Foundation, either version 3 of # the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this program. If not, see # <http://www.gnu.org/licenses/>. from sympy import * import pprint init_printing(use_unicode=True) s13, s23, s43 = symbols('s13 s23 s43') x, y, z, w = symbols('x y z w') A = Matrix([[ 1, 0, s13, 0 ], [ 0, 1, s23, 0 ], [ 0, 0, 1, 0 ], [ 0, 0, s43, 1 ]]) print('\nLacroute\'s shear matrix (A.14) is:') pprint.pprint(A) # At this point, we can write "print(A*p)". However, we don't care # about the output "z" axis, as it is fixed. So we delete the 3rd row # of A. A.row_del(2) p = Matrix([ x, y, z, 1 ]) v = A*p print('\nAction of Lacroute\'s shear matrix on plane z (taking w=1):\n%s\n' % v) print('Scaling = %s' % (1/v[2])) print('Offset X = %s' % (v[0]/v[2]).subs(x, 0)) print('Offset Y = %s' % (v[1]/v[2]).subs(y, 0))