66 lines
2.3 KiB
Kotlin
66 lines
2.3 KiB
Kotlin
import org.openrndr.application
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import org.openrndr.draw.colorBuffer
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import org.openrndr.extra.noise.filters.*
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import org.openrndr.math.Vector2
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import org.openrndr.math.Vector3
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import org.openrndr.math.Vector4
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import kotlin.math.sin
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/**
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* Render existing GLSL noise algorithms side by side.
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* Re-use the same color buffer for the rendering.
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* Not all noise properties are used. Explore each noise class
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* to find out more adjustable properties.
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* The noise color can be set using a `color` or a `gain` property.
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*/
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fun main() = application {
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program {
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val noises = listOf(
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HashNoise(), SpeckleNoise(), CellNoise(),
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ValueNoise(), SimplexNoise3D(), WorleyNoise()
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)
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val img = colorBuffer(width / noises.size, height * 8 / 10)
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extend {
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val seed = seconds * 0.1
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val scale = 1.0 + sin(seed) * 0.5
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noises.forEach { noise ->
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when (noise) {
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is HashNoise -> {
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noise.seed = seed
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noise.gain = Vector4(0.5 + sin(seconds) * 0.5)
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noise.monochrome = frameCount % 100 < 50
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}
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is SpeckleNoise -> {
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noise.seed = seed
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noise.density = 0.1 + sin(seconds) * 0.1
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}
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is CellNoise -> {
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noise.seed = Vector2(seed)
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noise.scale = Vector2(scale)
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}
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is ValueNoise -> {
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noise.seed = Vector2(seed)
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noise.scale = Vector2(scale)
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noise.gain = Vector4(0.5)
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}
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is SimplexNoise3D -> {
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noise.seed = Vector3(seed)
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noise.scale = Vector3(scale)
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}
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is WorleyNoise -> {
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noise.scale = scale
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noise.offset = Vector2(seed)
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}
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}
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noise.apply(emptyArray(), img)
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drawer.image(img)
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drawer.translate(
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width / noises.size * 1.0,
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height * 2 / 10 / (noises.size - 1.0)
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)
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}
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}
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}
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} |