# Copyright CNRS/Inria/UNS # Contributor(s): Eric Debreuve (since 2019) # # eric.debreuve@cnrs.fr # # This software is governed by the CeCILL license 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 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 and that you accept its terms. from brick.general.type import array_t import numpy as np_ def NormalizedImage(image: array_t) -> array_t: # print( "This normalization does not bring anything; left as is for now to avoid the need for changing prms" ) nonextreme_values = image[np_.logical_and(image > 0.0, image < image.max())] if nonextreme_values.size > 0: nonextreme_avg = nonextreme_values.mean() result = image.astype(np_.float32) / nonextreme_avg else: result = image.astype(np_.float32) return result def DijkstraCosts(image: array_t, som_map: array_t, ext_map: array_t) -> array_t: # # TODO: Ideally, the extension part should be dilated # but in ext-ext connections, there must not be dilation around the current or the other exts # (current ext plays the role of a soma in soma-ext step) # dijkstra_costs = 1.0 / (image + 1.0) dijkstra_costs[np_.logical_or(som_map > 0, ext_map > 0)] = np_.inf return dijkstra_costs