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Pyxit object classification prediction

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Raphaël Marée, Gilles Louppe
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This module is for applying classification models on objects. It is based on the paper "Towards Generic Image Classification using Tree-based Learning: an Extensive Empirical Study". Raphael Maree, Pierre Geurts, Louis Wehenkel. Pattern Recognition Letters, DOI: 10.1016/j.patrec.2016.01.006, 2016. 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 downloads from Cytomine-Core annotations images from an image (e.g. detected by an object finder), apply a classification model (previously saved locally), and uploads to Cytomine-Core annotation terms (in a userjob layer). Based on: "Towards Generic Image Classification using Tree-based Learning: an Extensive Empirical Study". Raphael Maree, Pierre Geurts, Louis Wehenkel. Pattern Recognition Letters, DOI: 10.1016/j.patrec.2016.01.006, 2016.