voyager-runlisted

# Run Inference Execute inference on Axelera AI hardware with various input sources ## Use This Skill When / Not When - Use when: a model/pipeline is already selected and the user wants to execute `inference.py` with a video, image, USB, RTSP, or dataset source. - Not when: they want a packaged end-to-end solution with validation artifacts -- route to voyager-launch. - Not when: a custom model must be compiled or quantized first -- route to voyager-deploy. ## Instructions Run inference with the specified configuration: **$ARGUMENTS** {{INCLUDE common/voyager-sdk-setup.md}} {{INCLUDE common/voyager-task-integration.md}} {{INCLUDE common/examples-catalog.md}} ### Step 1: Environment Verification - Ensure environment is activated: ```bash source venv/bin/activate ``` - Read `.voyager-runtime.json`. Only verify hardware directly when `execution.mode` is `execute_on_device`: ```bash axdevice ``` In `package_for_linux` mode, return Voyager SDK commands and the package-only caveat instead of claiming hardware execution. ### Step 2: Parse Arguments - Model/pipeline name (required) - Input source (camera, video, image, dataset, RTSP) - Display options - Output options - Examples-first: if the user described a task rather than naming a model, check `common/examples-catalog.md` for a ready-made example (or route to `voyager-launch`). ### Step 3: Input Source Configuration **USB Camera:** ```bash ./inference.py <model> usb:0 # First USB