Accelerated Application Package Selection

Kria KV260 Vision AI Starter Kit User Guide (UG1089)
Document ID
UG1089
Release Date
2024-05-14
Revision
1.3 English
Recommended: Public Ethernet connectivity is necessary to dynamically pull down the latest accelerated application designs.
  1. If you have not already verified Internet connectivity do so before proceeding via ping test or DNS lookup (e.g., nslookup).
  2. The sudo xmutil getpkgs lists a series of package groups that apply to your platform. The package group naming convention is: packagegroup-kit_name-application_name. For example, the Smart Camera application for the KV260 platform has the following package group name packagegroup-kv260-smartcamera. You can install any number of matching accelerated applications to your platform by executing a DNF install for the chosen application package group. For example, to install the smart camera application, run sudo dnf install packagegroup-kv260-smartcamera.
    Note: You should only install package-groups that are compatible with your particular starter kit configuration.
  3. For any applications installed on the local file system via the DNF install, the platform can now dynamically load and swap those applications. To see a list of the applications local to the system, execute sudo xmutil listapps. You can also see what applications are local by manually exploring the /opt/xilinx directory.
  4. By default, kv260-dp is loaded on boot. From the applications list, check for an active application loaded (active = 1 in the xmutil listapps output). If there is a loaded application, unload it by running the sudo xmutil unloadapp command to unload the current application before proceeding to the next step.
  5. From the application list, start the new application by running sudo xmutil loadapp application_name. The platform configuration is automatically handled and starts the application.
  6. Applications with a Jupyter-based cockpit will start-up automatically. You need to point your web-browser to the associated IP address and port. The associated IP address and port information is printed to the UART at boot. To query your Jupyter lab server URL after the initial boot, run: sudo jupyter notebook list.