Upgrade to OPENRNDR 0.4 snapshot

orx-jvm/orx-runway/src/demo/kotlin/DemoDensePose01.kt

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+import org.openrndr.application
+import org.openrndr.color.ColorRGBa
+import org.openrndr.draw.ColorBuffer
+import org.openrndr.draw.isolatedWithTarget
+import org.openrndr.draw.loadImage
+import org.openrndr.draw.renderTarget
+import org.openrndr.extra.runway.*
+
+/**
+ * This demonstrates the body estimation model of DensePose
+ * This example requires a `runway/DensePose` model active in Runway.
+ */
+suspend fun main() = application {
+    configure {
+        width = 512
+        height = 512
+    }
+
+    program {
+        val rt = renderTarget(512, 512) {
+            colorBuffer()
+        }
+        val startImage = loadImage("demo-data/images/peopleCity01.jpg")
+
+        drawer.isolatedWithTarget(rt) {
+            drawer.ortho(rt)
+            drawer.clear(ColorRGBa.BLACK)
+            drawer.image(startImage, (rt.width - startImage.width) / 2.0, (rt.height - startImage.height) / 2.0)
+        }
+
+        extend {
+            val result: DensePoseResult =
+                    runwayQuery("http://localhost:8000/query", DensePoseQuery(rt.colorBuffer(0).toData()))
+            val image = ColorBuffer.fromData(result.output)
+
+            drawer.image(image, 0.0, 0.0, 512.0, 512.0)
+            image.destroy()
+        }
+    }
+}