• Skip to content

Main Menu

  • Home
  • Paintings
  • Interactive Work
  • About
  • Posts
  • Back
  • NM Women Series
  • Hollyhocks Series
  • Daily Paintings
  • Small Works
  • Back
  • Games and Toys
  • Ribbons
  • ORBS
Enrico Trujillo

Main Menu

  • Home
  • Paintings
    • NM Women Series
    • Hollyhocks Series
    • Daily Paintings
    • Small Works
  • Interactive Work
    • Games and Toys
    • Ribbons
    • ORBS
  • About
  • Posts
  • Search
  • 0 items

Researching machine learning

 Posted on on October 17, 2021

Spending a little time today thinking about machine learning and how it can be useful for what I do. In the past I have used generative algorithms to create patterns and designs that have worked their way into the design. Decades ago I was using PovRay to do raytracing based on simple objects and transparency. Later on, I played with Action Script and Processing to create interactive art pieces. I am currently using C++ and MicroPython/CircuitPython to mess about with microcontrollers, servos, e-ink, and LEDs.

I have used various forms of machine learning in the past to create the base images. Sometimes it is just filling areas in intelligently, or stretching out dimensions without obvious distortion. Other times, it has been making subtle changes to faces that relate to re-lighting or re-posing them. I have also experimented with with causing basic changes to facial features.

At the moment, I am interested in training a system based on a certain genre of painting. I may need a bit more computing horsepower than I currently have. At least I can work out the software now.

RunwayML

https://runwayml.com/ Offers some cool video processing options. It also has a web based interface that seems related to image processing and training. The nice thing about this option is that there really is very little barrier to entry. At the moment, I just have to come up with 500 – 5,000 images that can be used to train the system.

Image from AI Artists Org

ML5.js

This is a community that offers a head start in working with a few of the systems out there. Pix2Pix seems like a good tool to start with.

Example of creating an image with system trained on Pokemon characters.

GANS

The systems behind this work are called Generative Adversarial Networks (GAN) and here is a little list of places they are collected.

  • Awesome Applications on Github
  • The GAN Zoo also on Github
  • AI Artists

TensorFlow

This is a free and open-source library for machine learning and artificial intelligence.

On a Mac

Working on a Mac laptop so there is specific code that you can run from Apple. Unfortunately it isn’t really working on my laptop.

Posted in Uncategorized

Comments are closed.

Post navigation

Previous
Next

Primary

Recent Posts

  • Building an Art Store with WooCommerce: A Guide for Solo Artists
  • Egon Schiele⁣⁣ Portrait of the Painter Anton Peschka⁣⁣ 1909
  • Learning to Stretch My Paintings a Little Further
  • Growing Your Artist Footprint Online—Simple Steps I’m Taking (and You Can Too)
  • Choosing My Canvas: Why Format Matters When Painting People and Places

Archives

  • April 2025
  • March 2025
  • February 2025
  • January 2025
  • December 2024
  • November 2024
  • October 2024
  • August 2024
  • July 2024
  • April 2024
  • March 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • July 2022
  • March 2022
  • February 2022
  • December 2021
  • October 2021
  • August 2021

Categories

  • Advice
  • Agriculture
  • Art
  • Article
  • Business
  • Community
  • Culture
  • Daily
  • Drawing
  • Galleries
  • Home
  • Illustration
  • Land
  • News
  • Painting
  • Photography
  • Planning
  • Tech
  • Uncategorized

Follow us

Follow us on TwitterLike us on FacebookSubscribe to our Channel on YouTubeFollow us on GithubFollow us on InstagramFollow us on CodepenFollow us on SoundCloud

© Enrico Trujillo 2025MINIMAL

x