In this tutorial we will cover render graphs, what they are and how they can be used in your shows to create complex visual effects.
We will also discover how to link sensor data to parameters in the render graph to create interactive environments.
We’ll start by using a Leap Motion : a low-cost, easy-to-use and powerful hand sensor, perfect for prototyping effects.
At the end of the tutorial, we’ll cover how to easily migrate the project to a Hokuyo LIdar sensor.
We’ll begin a project from scratch and start building with basic shapes before progressively adding to our composition to create more complex render graphs and visual effects.
You can access the chapters in each video by clicking on the Chapters button in the bottom controls of the video player.
Part 1 : Presenting the Render Graph
In this first part we’ll begin a project from scratch with a basic setup and present what a render graph is, and how they differ from compute graphs.
Part 2 : Calibrating the Leap Motion
In this video we cover how to calibrate the Leap Motion sensor in a compute graph.
Part 3 : Linking the sensor to the Render Graph
In this part we cover how to link the sensor data from the Leap Motion to an instance of a render graph.
Part 4 : Enhancing the visual effect
In this video we learn how to combine nodes together to create an enhanced visual effect based on user interaction.
Part 5 : Using interactive shapes as masks on media
In this video we learn how to use a render graph as a mask to create shapes that reveal media on the timeline based on user interaction.
Part 6 : Migrating the project to a 2D Lidar
In this last part, we migrate the project to another setup with a Hokuyo LIdar and a video projector.
Modulo Kinetic version : 5.0.1
If you are using a more recent version of Modulo Kinetic there may be some differences between the video and your interface.
If you are using a less recent version of Modulo Kinetic some features may not be available.
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