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AMD Ryzen AI CVML

NPU

The Ryzen AI CVML libraries build on top of the Ryzen AI drivers and execution infrastructure to provide powerful AI capabilities to C++ applications without having to worry about training specific AI models and integrating them to the Ryzen AI framework.

Building and Running the Docker Container

The docker image must be built on top of the XDNA docker which contains the installed drivers and runtime to interact with the NPU. Make sure to compose the ryzers together as follows:

ryzers build xdna ryzenai_cvml
ryzers run

The default test will run a sample depth perception app.

ROS 2 Demo

To run the demo, follow these steps:

Step 1: Edit config.yaml

Make sure your config.yaml points to your camera device e.g. /dev/video0.

    # edit this line in config.yaml
    - "--device=/dev/video0:/dev/video0"

Step 2: Include ROS into the ryzer

Run ryzers build with the ROS ryzer

ryzers build xdna ryzenai_cvml ros

Step 3: Run demo

ryzers run /ryzers/demo_ros.sh

Step 4: Visualize streams in your browser

Go to your web browser and type in 0.0.0.0:8080, this will bring up the ROS 2 web_video_server UI where you can click on different topics and visualize video streams.

For further details, refer to the official Ryzen AI CVML documentation.