Création de graphe-modèle sulcal

Creation of the structure of a model graph

Description

A model graph is used in the recognition process and the morphometry statistics process. It is responsible for structuring labels allowed in a data (sulcal) graph, calculating descriptors, and assessing a labeling during recognition. For the latter task, the model must have been trained to learn a dataset.
The current process builds the model graph structure, and the model graph learning proccess performs training.
Otherwise ther is also a little pipeline which joins both.

Paramètres

model_graph: Model graph ( sortie )

learningbase_data_graphs: ListOf ( input )

testbase_data_graphs: ListOf ( input )

labels_translation_map: Label translation ( entrée )

template_node_model: Template model ( entrée )

template_rel_model: Template model ( entrée )

template_domain_model: Template model domain ( entrée )

fallback_rel_model: Template model ( entrée )

model_version: String ( optional, input )

data_compatibility_version: String ( optional, input )

Informations techniques

Toolbox : Morphologist

Niveau d'utilisateur : 2

Identifiant : modelgraphcreation

Nom de fichier : brainvisa/toolboxes/morphologist/processes/Sulci/SulcalModel/modelgraphcreation.py

Supported file formats :

model_graph :

Graph and data

labels_translation_map :

Label Translation, DEF Label Translation

template_node_model :

Template model

template_rel_model :

Template model

template_domain_model :

Template model domain

fallback_rel_model :

Template model