Components can be written to handle any file format, Using glTF if possible as glTF gains adoption as the standard for transmittingģD models over the Web. Join the conversation in our Slack community or on Twitter, or check out our GitHub to file feature requests.A-Frame provides components for loading glTF and OBJ. Read the extensions documentation for more details on Foxglove Studio's extension API.Īs we continue building out extension support, we’d love to hear your feedback. This will deploy the extension to all users within your organization. Once you are happy with how your extension works, you can package it and share with your team using the foxglove CLI tool. Once you toggle on the detected_objects topic in the panel's settings, you should see your custom SceneEntity messages visualized in the scene: In the Studio desktop app, open your app settings – you'll now see mySceneUpdateConverter appear in the list of installed extensions:Ĭonnect to your data source, and add a 3D panel to the layout. To build and install your extension for local testing in the Foxglove Studio desktop app, run the following command in the extension directory: $ yarn local-install However, we have one small problem – our messages use a custom schema to represent detected objects: type DetectedObject = Test the extension When we review the 3D panel's supported message types – which include transforms, point clouds, images, and more – we see that we can display primitive shapes like cubes using the scene entities schema.
By transforming data into a supported format, message converters allow you to leverage Foxglove Studio's existing visualization capabilities – and not build another new bespoke tool from scratch.įor the purposes of this tutorial, let’s assume that our robots record detected_objects messages that we want to visualize as boxes in Studio’s 3D panel for easy debugging ( Download example MCAP file here).
Though you could build a custom panel every time you want to visualize some unique data, you can save a great deal of time and effort by simply writing a message converter instead. In this tutorial, we’ll convert custom messages to use a Foxglove-supported schema for easy in-app visualization.
Sam Nosenzo ♵ min readPublished February 22, 2023īy writing your own message converter extension, you can use Foxglove Studio's out-of-the-box panels to visualize your custom messages – even if these messages' schemas aren't natively supported by any panel.
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