Setup a PostgreSQL database on MacOS: https://www.robinwieruch.de/postgres-sql-macos-setup/
Changes to the GAN server launch described below, when using MacOS Mojave:
- Tensorflow version, change to 1.13.1 because 1.12.0 isn't available.
- To install dependencies:
pip3 install -r requirements.txt
- To start server:
python3 server.py
Changes to frontend server launch:
- Create the directory
server/public/img
before runningnode make_randoms.js
.
Original Ganbreeder Readme from here.
Ganbreeder is a collaborative art tool for discovering images. Images are 'bred' by having children, mixing with other images and being shared via their URL. This is an experiment in using breeding + sharing as methods of exploring high complexity spaces. GAN's are simply the engine enabling this. Ganbreeder is very similar to, and named after, Picbreeder. It is also inspired by an earlier project of mine Facebook Graffiti which demonstrated the creative capacity of crowds.Ganbreeder uses these models.
This code was made in a weekend and hasn't been cleaned up or documented yet. There are also improvements to make to scalability.
Pull request are more than welcome :)
- Install Python 3 + pip (for the GAN server)
- Install NodeJS + npm (for the frontend)
- Install a PostgreSQL server
cd gan_server
# Install dependencies
pip install -r requirements.txt
# And go...
python server.py
Your GAN server is available at http://localhost:5000/
For quick hacking, if you have Docker at your disposal, you can spawn a PostgreSQL database like so:
docker run -p 5432:5432 --name ganbreederpostgres -e POSTGRES_PASSWORD=ganbreederpostgres -d postgres
With that simple scenario, the database and user would be postgres
and the password would be ganbreederpostgres
Copy the file server/example_secrets.js
to secrets.js
and modify it to fit your environment.
cd server
npm install
# Create the database structure
node_modules/knex/bin/cli.js migrate:latest
# Generate the first images
node make_randoms.js
# Generate a cache of image keys for the front page (do it every time you want to update the front page)
node updatecache.js
# And go...
node server.js
Your frontend is available at http://localhost:8888/