Add newtons fractal

1 files changed, 50 insertions, 0 deletions

diff --git a/src/main/kotlin/newton/NewtonProgram.kt b/src/main/kotlin/newton/NewtonProgram.kt
new file mode 100644
index 0000000..cb59c4d
--- /dev/null
+++ b/src/main/kotlin/newton/NewtonProgram.kt
@@ -0,0 +1,50 @@
+package newton
+
+import org.openrndr.application
+import org.openrndr.color.*
+import org.openrndr.draw.*
+import org.openrndr.extra.noise.filters.SimplexNoise3D
+import org.openrndr.math.Vector3
+import phenax.utils.*
+
+fun main() = application {
+  recordDuration(37.seconds())
+
+  if (recordingEnabled || screenshotEnabled) {
+    configure {
+      width = 1920
+      height = 1080
+      windowResizable = false
+    }
+  } else {
+    configure {
+      width = 640
+      height = 360
+      windowResizable = false
+    }
+  }
+
+  oliveProgram {
+    val cs by liveComputeShader("newton")
+
+    val outputBuffer = colorBuffer(width, height, type = ColorType.UINT8)
+
+    val size = Math.max(width, height) * 2
+    val noiseBuffer = colorBuffer(size, size, type = ColorType.UINT8)
+    val noiseFilter = SimplexNoise3D()
+    noiseFilter.scale = Vector3.ONE * 2.4
+    noiseFilter.octaves = 8
+    noiseFilter.premultipliedAlpha = true
+
+    extend {
+      noiseFilter.seed = Vector3(0.01, 0.01, 0.001)
+      noiseFilter.apply(emptyArray(), noiseBuffer)
+      cs.image("noise_texture", 1, noiseBuffer.imageBinding(0, ImageAccess.READ))
+
+      cs.uniform("seconds", seconds)
+      cs.image("output_image", 0, outputBuffer.imageBinding(0, ImageAccess.WRITE))
+      cs.execute(outputBuffer.width, outputBuffer.height, 1)
+      drawer.image(outputBuffer)
+    }
+  }
+}