Renthyl is a modular, code-first, and completely customizable rendering graph.
Using basic Renthyl rendering graphs are easy. First add Renthyl to the Gradle build script.
repositories {
maven { url "https://jitpack.io" }
}
dependencies {
implementation "com.github.codex128.Renthyl:RenthylCore:2.0.1-alpha"
}Create a FrameGraph object, attach tasks to render to it, and render the graph.
FrameGraph fg = new FrameGraph();
fg.addTask(new MyCustomTask());
fg.addTask(new SomeOtherTask());
fg.render();Renthyl was originally a render pipeline implementation for JMonkeyEngine. With Renthyl 2.0, the core library no longer depends on JMonkeyEngine. Engine-specific implementations have been moved to the "RenthylJme" subproject.
dependencies {
implementation "com.github.codex128.Renthyl:RenthylJme:2.0.1-alpha"
}The following code creates and registers a very simple forward-style FrameGraph in a JMonkeyEngine 3.8+ application.
// create and attach framegraph
JmeFrameGraph fg = new JmeFrameGraph(assetManager);
viewPort.setPipeline(fg);
// create resource allocator
ResourceAllocatorState allocator = new ResourceAllocatorState();
stateManager.attach(allocator);
// create tasks
SceneEnqueuePass enqueue = SceneEnqueuePass.withSingleQueue();
GeometryPass geometry = new GeometryTask(allocator);
OutputPass out = fg.addTask(new OutputPass());
// share task resources
geometry.getGeometry().addMapSource(enqueue.getQueues());
out.getColor().setUpstream(geometry.getOutColor());
out.getDepth().setUpstream(geometry.getOutDepth());It's not recommended to use this particular FrameGraph setup for serious rendering, as it doesn't handle queue buckets properly or render controls.