Special thanks to https://github.com/KhalilSelyan/predictedObjectConverter for the inspiration and the code to get started.
Currently supported message types:
- autoware_auto_perception_msgs::msg::DetectedObjects
- autoware_auto_perception_msgs::msg::TrackedObjects
- autoware_auto_perception_msgs::msg::PredictedObjects
- autoware_perception_msgs::msg::DetectedObjects
- autoware_perception_msgs::msg::TrackedObjects
- autoware_perception_msgs::msg::PredictedObjects
Note that this repository may not be maintained and thus the destructive changes on the above ROS 2 messages may not be reflected here.
Foxglove Studio allows developers to create extensions, or custom code that is loaded and executed inside the Foxglove Studio application. This can be used to add custom panels. Extensions are authored in TypeScript using the @foxglove/studio
SDK.
Extension development uses the yarn
package manager to install development dependencies and run build scripts.
To install extension dependencies, run yarn
from the root of the extension package.
yarn install
To build and install the extension into your local Foxglove Studio desktop app, run:
yarn run local-install
Open the Foxglove Studio
desktop (or ctrl-R
to refresh if it is already open). Your extension is installed and available within the app.
Extensions are packaged into .foxe
files. These files contain the metadata (package.json) and the build code for the extension.
Before packaging, make sure to set name
, publisher
, version
, and description
fields in package.json. When ready to distribute the extension, run:
yarn run package
This command will package the extension into a .foxe
file in the local directory.
You can publish the extension for the public marketplace or privately for your organization.
See documentation here: https://foxglove.dev/docs/studio/extensions/publish#packaging-your-extension