Goals
In this project, we explore how an interactive art installation, using machine learning, can explore ideas around the Anthropocene and encourage reflection on our humankind's relationship with machines. We created a physical installation, where users could interact with mobile phones with ML art pieces. Each mobile phone had input to the interaction and changed the morphing of the visuals. In essence, mobile phones were the audience of this installation.
Technology and Implementation
The machine-learning algorithm was DCGAN trained on GPU enabled Google Cloud service. The input was imaged from Wikiart on topics of abstract, portraits and impressionism. The results were more than 1000 generations and a total of 10,000 images. Later those images were combined together with volume metamorphosis and made interactive in openFrameworks.
