Pyxit object classification model builder

Type
Author
Raphaël Marée
Gilles Louppe
Execution Platform
Implementation Type
Programming Language
is compatible with
Interaction Level
License/Openness
License
Apache License 2.0
Description

This module is for learning classification models from ground-truth data (supervised learning). It downloads from Cytomine-Core annotation images and coordinate of annotated objects from project(s) and build a annotation classification model which is saved locally.  

It is used by Cytomine DataMining applications: classification_validation, classification_model_builder, classification_prediction, segmentation_model_builder and segmentation_prediction. But it can be run without Cytomine on local data (using dir_ls and dir_ts arguments).

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Last modified
05/02/2023 - 18:27