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2. Data connection

carolinabamorim edited this page Nov 4, 2024 · 2 revisions

To start data visualization there are to ways:

  1. When you open lichtblick choose the data source option that better suits your need:

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  1. Go to lichtblick > file > and choose data source option:

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Data Sources

1. Open local file Visualize data directly from your local filesystem. Supported formats: ROS 1 (.bag), MCAP (.mcap), PX4 ULog (.ulog)

2. Open connection Connect to a live robot or server. Supported formats: ROS 1, ROS 2, Custom, MCAP, Velodyne

Once connected, the data source's topics will be displayed in the sidebar: image

Getting Started with a local file

To load a local file for visualization, there are several options:

  • Double-click the file from your file manager
  • Drag-and-drop the file into lichtblick directly
  • Click "Open local file" in the left hand menu

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Getting Started with a WebSocket

The configuration option to visualize live data is supported by different data sources:

  • FoxGlove Websocket (supported formats: ROS 1, ROS 2, Custom, MCAP) > configuration option: WebSocket URL
  • Rosbridge (supported formats: ROS 1, ROS 2) > configuration option: WebSocket URL
  • ROS 1 (supported formats: ROS 1 - desktop app only) > configuration option: ROS_MASTER_URI and ROS_HOSTNAME
  • Velodyne Lidar (supported formats: Velodyne - desktop app only) > configuration option: UDP port
  • Remote File (supported formats: ROS 1, MCAP) > configuration option: Requires CORS setup

Opening a new connection:

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