# This software and supporting documentation are distributed by # Institut Federatif de Recherche 49 # CEA/NeuroSpin, Batiment 145, # 91191 Gif-sur-Yvette cedex # France # # This software is governed by the CeCILL license version 2 under # French law and abiding by the rules of distribution of free software. # You can use, modify and/or redistribute the software under the # terms of the CeCILL license version 2 as circulated by CEA, CNRS # and INRIA at the following URL "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL license version 2 and that you accept its terms. from brainvisa.processes import * import shfjGlobals name = 'Transformation inverter' userLevel=1 signature = Signature( 'transformation', ReadDiskItem( 'Transformation matrix', 'Transformation matrix' ), 'inverted_transformation', WriteDiskItem( 'Transformation matrix', 'Transformation matrix' ), ) def initialization( self ): def reverseTrans( self, proc ): if self.transformation is not None: return WriteDiskItem( 'Transformation matrix', 'Transformation matrix', requiredAttributes = \ { 'from': self.transformation.get( 'to' ), 'to': self.transformation.get( 'from' ) } ).findValue( self.transformation ) else: return None self.linkParameters( 'inverted_transformation', 'transformation', reverseTrans ) def execution( self, context ): context.system( 'AimsInvertTransformation', '-i', self.transformation.fullPath(), '-o', self.inverted_transformation.fullPath() )