Skip to content

Our implementation of WGAN for the custom Houses dataset

Notifications You must be signed in to change notification settings

Dmmc123/wgan_houses

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

[WGAN] Generating houses

Hello! This is how we reused the original implementation of WGAN from this repo for generating custom pictures of houses.

Dataset

To get our pictures, we used selenium for python and Google Image Search. Our crawler is here. The dataset of 6.5 thousand pictures can be downloaded from here. Initially, our crawled pictures look like this (resized in 64x64 format):

image

Training

Hyper-parameters and algorithms do not differ much from the one presented in original paper, which is implemented in this notebook (attempt 1) or this notebook (attempt 2), or original tutorial which is implemented in this notebook.

animation

Set-up

  1. First things first, make sure you have last version of our generator and discriminator modules on your Google Drive

  2. Then clone this repo:

git clone https://github.com/Dmmc123/wgan_houses.git
  1. Use notebooks accordingle to crawl data, or re-train the models, or run the GUI

About

Our implementation of WGAN for the custom Houses dataset

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published