The Evolutionary Poster Composer (evo-poster) is a generative poster design system. From a given content (including text and imagery), evo-poster can generate and evolve poster designs considerating the aesthetic and semantics features of the content.
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Further development of Semantic Visuals Measure #57
Currently, the system features a preliminary version of the Semantic Visual Measure. This version allows users to establish a desired set of colors and typographic tags for the generated outputs through a specific configuration file in the evaluation module, named semantics-visual.config.js (see issue #54)
The system then verifies whether these preferences align with the classification results.
However, this issue requires additional development to improve the quality of the results, including secondary classification results, classification scores, and background styles into account.
This is an enhancement of the project. However, it can contribute to the increase of the quality of designs, being aligned with all users' stories.
Currently, the system features a preliminary version of the Semantic Visual Measure. This version allows users to establish a desired set of colors and typographic tags for the generated outputs through a specific configuration file in the evaluation module, named
semantics-visual.config.js
(see issue #54)The system then verifies whether these preferences align with the classification results.
However, this issue requires additional development to improve the quality of the results, including secondary classification results, classification scores, and background styles into account.
This is an enhancement of the project. However, it can contribute to the increase of the quality of designs, being aligned with all users' stories.