WebApp_GAN

Developing a full stack application using Html, css and jinja2 for front end. Using Flask for back end and access saved GAN model. The GAN models were developed during dissertation

Step 1

Developing a neat User intgerface using html css, and using jinja for writing html templates and frontend logic

• developed a basic UI having nav bar and buttons to navigate through the different routes
• developed card like layout which holds the information regarding the 4 different gans

Step 2

Importing all saved GAN models used in dissertaion (WGAN-GP, DCGAN, LSGAN, BiGAN)

• imported all the models from dissertation code evidence submission folder into the working directory

Step 3

Developing backend logic using flask for creating Database using Sqlachemy-Flask API (Done)

Step 4

Developing backend logic for registering, login and logging out a user (Done)

Step 5

Developing backend logic for recording the user input and interactions (Done)

Step 6

Developing backend logic for displaing the GAN predicted image (Done)

Step 7

Developing backend logic for recoding the user history in database working on incorperating image saving

Step 8

Developing a UI element/method allowing the user to access the history

Step 9

Developing a UI element to allow user to view comparisions between the GAN gerated and orignal images

Step 10 (Optional)

Developing a way to allow the user to upload a folder with their images selecting a particular GAN and then notifying user once the GAN is trained