Cairn Perception Object Detection example

Runs a Cairn camera-to-inference workflow and prints object detections.

Cairn: Perception Object Detection Example

This example shows the Composable AI Runtimes Perception Stack in action, running inference models on a camera.

Start by cloning the project, and providing a compatible model. topo clone https://github.com/Arm-Examples/composable-ai-perception-object-detection.git

Deploy

Deploy to a remote or local target using Topo. Your target will need a USB web camera, or a Pi Camera plugged in. Replace [user@]host below with your SSH destination or SSH config alias.

topo deploy --target [user@]host

On success, a command will be printed to ssh and print out the inferences run on the container.

Inference runs continuously until you stop the stack:

topo stop --target [user@]host

Run this project

Topo project

Use Topo to configure and deploy this container-based application to Arm-based Linux devices over SSH.

Configure project

Model

Deploy project

Install the Arm Topo CLI to manage your model deployments through the terminal

1. Install Topo CLI

2. Run the following command to clone and configure the project.

Clone and Configure Project

topo clone https://github.com/Arm-Examples/composable-ai-perception-object-detection.git#6a995eaee273968864a5d59dcd3a4aa0800349dd OPK_HF_DETECTION_MODEL='Arm/yolo26s-640-int8-onnx-raspberrypi5'

Read the Topo docs for installation, troubleshooting and advanced usage.

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