DEVELOPMENT OF A SOFTWARE TOOL FOR REALIZING THE FUNCTION OF IMAGE TRANSFORMATION BY AUTHOR’S STYLE BASED ON MACHINE LEARNING ALGORITHMS

Rusakov Alexey Mikhailovich, Solovyova Veronika Antonovna, Rakhimov Igor Ruslanovich, Vorobyov Ivan Alekseevich, Filatov Vyacheslav Valeryevich

This article presents a study on the development of a tool for realizing the function of image transformation by author's style on the basis of machine learning algorithms. The research materials contain a detailed description of the choice of the architecture of the developed system, its implementation features, as well as the description of the main modules and functions of the developed software. The main tasks are formulated, methods and algorithms to be considered in the development are identified.

Keywords:image transformation, machine learning.