[orx-quadtree] add quadtree module (#174)

orx-quadtree/README.md

@@ -0,0 +1,22 @@
+# orx-quadtree
+
+An extension for creating a [Quadtree](https://en.wikipedia.org/wiki/Quadtree) for points. A quadtree is a spatial
+partioning tree structure meant to provide fast spatial queries such as nearest points within a range.
+
+## Example
+
+```kotlin
+val box = Rectangle.fromCenter(Vector2(400.0), 750.0)
+
+val quadTree = Quadtree<Vector2>(box) { it }
+
+for (point in points) {
+    quadTree.insert(point)
+}
+
+val nearestQuery = quadTree.nearest(points[4], 20.0)
+```
+
+### Author
+
+Ricardo Matias / [@ricardomatias](https://github.com/ricardomatias)

orx-quadtree/build.gradle

@@ -0,0 +1,19 @@
+sourceSets {
+    demo {
+        java {
+            srcDirs = ["src/demo/kotlin"]
+            compileClasspath += main.getCompileClasspath()
+            runtimeClasspath += main.getRuntimeClasspath()
+        }
+    }
+}
+
+dependencies {
+    demoImplementation("org.openrndr:openrndr-core:$openrndrVersion")
+    demoImplementation("org.openrndr:openrndr-extensions:$openrndrVersion")
+    demoImplementation(project(":orx-noise"))
+    demoRuntimeOnly("org.openrndr:openrndr-gl3:$openrndrVersion")
+    demoRuntimeOnly("org.openrndr:openrndr-gl3-natives-$openrndrOS:$openrndrVersion")
+
+    demoImplementation(sourceSets.getByName("main").output)
+}

orx-quadtree/src/demo/kotlin/DemoQuadTree01.kt

@@ -0,0 +1,55 @@
+import org.openrndr.application
+import org.openrndr.color.ColorRGBa
+import org.openrndr.draw.rectangleBatch
+import org.openrndr.extensions.SingleScreenshot
+import org.openrndr.extra.noise.Random
+import org.openrndr.extra.noise.gaussian
+import org.openrndr.math.Vector2
+import org.openrndr.shape.Rectangle
+import quadtree.Quadtree
+
+fun main() {
+    application {
+        configure {
+            width = 800
+            height = 800
+            title = "QuadTree"
+        }
+        program {
+            if (System.getProperty("takeScreenshot") == "true") {
+                extend(SingleScreenshot()) {
+                    this.outputFile = System.getProperty("screenshotPath")
+                }
+            }
+
+            val box = Rectangle.fromCenter(Vector2(400.0), 750.0)
+
+            val points = (0 until 1_000).map {
+                Vector2.gaussian(box.center, Vector2(95.0), Random.rnd)
+            }
+
+            val quadTree = Quadtree<Vector2>(box) { it }
+
+            for (point in points) {
+                quadTree.insert(point)
+            }
+
+            val batch = drawer.rectangleBatch {
+                this.fill = null
+                this.stroke = ColorRGBa.GRAY
+                this.strokeWeight = 0.5
+                quadTree.batch(this)
+            }
+
+            extend {
+                drawer.clear(ColorRGBa.BLACK)
+
+                drawer.rectangles(batch)
+
+                drawer.fill = ColorRGBa.PINK.opacify(0.7)
+                drawer.stroke = null
+                drawer.circles(points, 5.0)
+            }
+        }
+    }
+}

orx-quadtree/src/demo/kotlin/DemoQuadTree02.kt

@@ -0,0 +1,82 @@
+import org.openrndr.application
+import org.openrndr.color.ColorRGBa
+import org.openrndr.draw.rectangleBatch
+import org.openrndr.extensions.SingleScreenshot
+import org.openrndr.extra.noise.Random
+import org.openrndr.extra.noise.gaussian
+import org.openrndr.math.Vector2
+import org.openrndr.shape.Rectangle
+import quadtree.Quadtree
+
+fun main() {
+    application {
+        configure {
+            width = 800
+            height = 800
+            title = "QuadTree"
+        }
+        program {
+            if (System.getProperty("takeScreenshot") == "true") {
+                extend(SingleScreenshot()) {
+                    this.outputFile = System.getProperty("screenshotPath")
+                }
+            }
+
+            val box = Rectangle.fromCenter(Vector2(400.0), 750.0)
+
+            val points = (0 until 100).map {
+                Vector2.gaussian(box.center, Vector2(95.0), Random.rnd)
+            }
+
+            val quadTree = Quadtree<Vector2>(box) { it }
+
+            for (point in points) {
+                quadTree.insert(point)
+            }
+
+            val selected = points[3]
+            val radius = 40.0
+
+            val nearestQuery = quadTree.nearest(selected, radius)
+
+            val batch = drawer.rectangleBatch {
+                this.fill = null
+                this.stroke = ColorRGBa.GRAY
+                this.strokeWeight = 0.5
+                quadTree.batch(this)
+            }
+
+            extend {
+                drawer.clear(ColorRGBa.BLACK)
+
+                drawer.rectangles(batch)
+
+                drawer.fill = ColorRGBa.PINK.opacify(0.7)
+                drawer.stroke = null
+                drawer.circles(points, 5.0)
+
+                nearestQuery?.let { (nearest, neighbours, nodes) ->
+                    drawer.stroke = null
+                    drawer.fill = ColorRGBa.YELLOW.opacify(0.2)
+
+                    for (node in nodes) {
+                        node.draw(drawer)
+                    }
+
+                    drawer.fill = ColorRGBa.GREEN.opacify(0.7)
+                    drawer.circles(neighbours, 5.0)
+
+                    drawer.fill = ColorRGBa.RED.opacify(0.9)
+                    drawer.circle(nearest, 5.0)
+
+                    drawer.fill = ColorRGBa.PINK
+                    drawer.circle(selected, 5.0)
+
+                    drawer.stroke = ColorRGBa.PINK
+                    drawer.fill = null
+                    drawer.circle(selected, radius)
+                }
+            }
+        }
+    }
+}

orx-quadtree/src/main/kotlin/Quadtree.kt

@@ -0,0 +1,215 @@
+package quadtree
+
+import org.openrndr.draw.Drawer
+import org.openrndr.draw.RectangleBatchBuilder
+import org.openrndr.math.Vector2
+import org.openrndr.shape.Rectangle
+import org.openrndr.shape.intersects
+
+data class QuadtreeQuery<T>(val nearest: T, val neighbours: List<T>, val quads: List<Quadtree<T>>)
+
+/**
+ * Quadtree
+ *
+ * @param T
+ * @property bounds the tree's bounding box
+ * @property maxObjects maximum number of objects per node
+ * @property mapper
+ */
+class Quadtree<T>(val bounds: Rectangle, val maxObjects: Int = 10, val mapper: ((T) -> Vector2)) {
+    /**
+     * The 4 nodes of the tree
+     */
+    val nodes = arrayOfNulls<Quadtree<T>>(4)
+    var depth = 0
+    val objects = mutableListOf<T>()
+
+    private val isLeaf: Boolean
+        get() = nodes[0] == null
+
+    /**
+     * Clears the whole tree
+     */
+    fun clear() {
+        objects.clear()
+
+        for (i in nodes.indices) {
+            nodes[i]?.let {
+                it.clear()
+
+                nodes[i] = null
+            }
+        }
+    }
+
+    /**
+     * Finds the nearest and neighbouring points within a radius
+     *
+     * @param element
+     * @param radius
+     * @return
+     */
+    fun nearest(element: T, radius: Double): QuadtreeQuery<T>? {
+        val point = mapper(element)
+
+        if (!bounds.contains(point)) return null
+
+        val r2 = radius * radius
+
+        val scaledBounds = Rectangle.fromCenter(point, radius * 2)
+        val intersected: List<Quadtree<T>> = intersect(scaledBounds) ?: return null
+
+        var minDist = Double.MAX_VALUE
+        val nearestObjects = mutableListOf<T>()
+        var nearestObject: T? = null
+
+        for (interNode in intersected) {
+            for (obj in interNode.objects) {
+                if (element == obj) continue
+                val p = mapper(obj)
+
+                val dist = p.squaredDistanceTo(point)
+
+                if (dist < r2) {
+                    nearestObjects.add(obj)
+
+                    if (dist < minDist) {
+                        minDist = dist
+                        nearestObject = obj
+                    }
+                }
+            }
+        }
+
+        if (nearestObject == null) return null
+
+        return QuadtreeQuery(nearestObject, nearestObjects, intersected)
+    }
+
+    /**
+     * Inserts the element in the appropriate node
+     *
+     * @param element
+     * @return
+     */
+    fun insert(element: T): Boolean {
+        // only* the root needs to check this
+        if (depth == 0) {
+            if (!bounds.contains(mapper(element))) return false
+        }
+
+        if ((objects.size < maxObjects && isLeaf)) {
+            objects.add(element)
+
+            return true
+        }
+
+        if (isLeaf) subdivide()
+
+        objects.add(element)
+
+        for (obj in objects) {
+            val p = mapper(obj)
+            val x = if (p.x > bounds.center.x) 1 else 0
+            val y = if (p.y > bounds.center.y) 1 else 0
+            val nodeIndex = x + y * 2
+
+            nodes[nodeIndex]?.insert(obj)
+        }
+
+        objects.clear()
+
+        return true
+    }
+
+    /**
+     * Finds which node the element is within (but not necessarily belonging to)
+     *
+     * @param element
+     * @return
+     */
+    fun findNode(element: T): Quadtree<T>? {
+        val v = mapper(element)
+
+        if (!bounds.contains(v)) return null
+
+        if (isLeaf) return this
+
+        for (node in nodes) {
+            node?.findNode(element)?.let { return it }
+        }
+
+        return null
+    }
+
+    /**
+     * Draw the quadtree using batching
+     *
+     * @param batchBuilder
+     */
+    fun batch(batchBuilder: RectangleBatchBuilder) {
+        batchBuilder.rectangle(bounds)
+
+        for (node in nodes) {
+            node?.batch(batchBuilder)
+        }
+    }
+
+    /**
+     * Draw the quadtree
+     *
+     * @param drawer
+     */
+    fun draw(drawer: Drawer) {
+        drawer.rectangle(bounds)
+
+        for (node in nodes) {
+            node?.draw(drawer)
+        }
+    }
+
+    private fun intersect(rect: Rectangle): List<Quadtree<T>>? {
+        val intersects = intersects(bounds, rect)
+
+        if (!intersects) return null
+
+        if (isLeaf) return listOf(this)
+
+        val intersected = mutableListOf<Quadtree<T>>()
+
+        for (node in nodes) {
+            if (node != null) node.intersect(rect)?.let {
+                intersected.addAll(it)
+            }
+        }
+
+        return intersected
+    }
+
+    private fun subdivide() {
+        val width = bounds.center.x - bounds.corner.x
+        val height = bounds.center.y - bounds.corner.y
+
+        val newDepth = depth + 1
+
+        var node = Quadtree(Rectangle(bounds.corner, width, height), maxObjects, mapper)
+        node.depth = newDepth
+        nodes[0] = node
+
+        node = Quadtree(Rectangle(Vector2(bounds.center.x, bounds.corner.y), width, height), maxObjects, mapper)
+        node.depth = newDepth
+        nodes[1] = node
+
+        node = Quadtree(Rectangle(Vector2(bounds.corner.x, bounds.center.y), width, height), maxObjects, mapper)
+        node.depth = newDepth
+        nodes[2] = node
+
+        node = Quadtree(Rectangle(bounds.center, width, height), maxObjects, mapper)
+        node.depth = newDepth
+        nodes[3] = node
+    }
+
+    override fun toString(): String {
+        return "QuadTree { objects: ${objects.size}, depth: $depth, isLeaf: $isLeaf"
+    }
+}

orx-triangulation/build.gradle

@@ -9,7 +9,7 @@ sourceSets {
 }
 
 def useSnapshot = false
-def delaunatorVersion = (useSnapshot) ? "0.4.0-SNAPSHOT" : "1.0.1"
+def delaunatorVersion = (useSnapshot) ? "0.4.0-SNAPSHOT" : "1.0.2"
 
 dependencies {
     implementation project(":orx-noise")

settings.gradle

@@ -32,6 +32,7 @@ include 'openrndr-demos',
         'orx-palette',
         'orx-panel',
         'orx-poisson-fill',
+        'orx-quadtree',
         'orx-rabbit-control',
         'orx-realsense2',
         'orx-realsense2-natives-linux-x64',