42 lines
1.4 KiB
Kotlin
42 lines
1.4 KiB
Kotlin
import org.openrndr.application
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import org.openrndr.color.ColorRGBa
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import org.openrndr.draw.colorBuffer
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import org.openrndr.extra.noise.gradientPerturbFractal
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import org.openrndr.extra.noise.simplex
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import org.openrndr.math.Vector3
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import kotlin.math.absoluteValue
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/**
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* Demonstrates how to generate a dynamically evolving visual
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* representation of fractal noise. The program uses 3D gradient perturbation and simplex noise
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* to produce a grayscale gradient on a color buffer.
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*
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* The visual output is created by iteratively computing the fractal gradient perturbation and simplex
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* noise for each pixel in the color buffer, applying a perturbation based on time, and rendering the
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* result as an image.
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*
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* CPU-based.
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*/
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fun main() = application {
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configure {
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width = 720
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height = 360
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}
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program {
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val cb = colorBuffer(width, height)
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val shad = cb.shadow
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extend {
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for (y in 0 until height) {
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for (x in 0 until width) {
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val p =
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gradientPerturbFractal(300, frequency = 0.8, position = Vector3(x / 320.0, y / 240.0, seconds))
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val d = simplex(300, p.x, p.y, p.z).absoluteValue
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shad[x, y] = ColorRGBa(d, d, d, 1.0)
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}
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}
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shad.upload()
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drawer.image(cb)
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}
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}
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}
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