This GitHub repository hosts an Android mobile application developed as part of the Programming Languages discipline in the Computer Engineering course in Federal University of Rio Grande - Brazil. The app leverages the power of Generative Adversarial Networks (GANs) to generate synthetic images.
Our backend consists of two differente services, that work together in order to process, create and retrieve images.
The first api is written in Golang and it's goal is to provide a fast connection between out client (app) and the second api, which is responsible for a deeper processing.
The second api, as told above, performs some hard processing, using the Tensor flow api. It's written in Node.js, being resposible for analising images, classfy them and render a same class synthetic image.
For detailed info on how to setup environment for each project, access the api and gan_inference folders at this project's root. The README.me files explain all you need to know.