Tezos

FLUX #35

Description

The code work I am most interested in creating with p5js in 2022 is a type of creation where various elements are developed in a drow() loop based on an initial state. "Flux" also recursively generates visual images based on the initial state. The result is a form reminiscent of architecture, cityscapes, or neural networks. Through the use of the noise() function, the code initially draws lines that are then extended vertically and randomly slide across a certain area. By repeating this process recurrently, the work itself becomes a visual image, with itself as a constituent element, while being damaged. "Flux" is also a work about autopoiesis (or self-organization) in damage. The get()set() is to treat the image generated by the code as an image(), and it may damage the purity of the work as a code. Therefore, I view random get()set() as a metaphor for damage. The parameter “interrupt” has a certain probability of being “true”; if it is “true”, the density of the strokes is reduced, but in combination with other parameters, it is not easy to determine whether interrupt is “true” or “false”. Therefore, it is a practically meaningless parameter (attribute), but I added this parameter to imagine an artificiality in the code of nature. Creating a dimensionless image (one that maintains the same output regardless of screen size) was a challenge due to the inevitable deterioration in resolution and rendering content when the same processing is performed at a smaller size. In order to prioritize resolution, the image was generated at a fixed size and displayed according to the screen size. It is possible to get a 3240 x 5760 px png file by right click save. Please feel free to contact me if you have any inquiries. Artwork by hasaqui, @hasaqui. Made with p5js License: CC BY-NC-SA 4.0

Traits

Tag

p5js

Tag

hasaqui