DEVLOG #01
The Spaghetti AI detector is now running as a Home Assistant app and watching the Guider 2S camera in safe shadow mode.
I first created and verified a protected Home Assistant backup. Then I installed the CPU-only ONNX detector, connected its status to MQTT, and checked the live service: it currently reports normal, a score of 0.0, and no error.
The most important decision was keeping detection separate from printer control. Shadow-mode detections can be recorded for evaluation, but the software cannot pause or abort the active print. Phone notifications and the Home Assistant decision automations also remain disabled.
The difficult part was fitting the model into a lightweight Home Assistant app. I limited ONNX Runtime to one CPU thread and disabled its CPU memory arena instead of deploying the much larger full Obico server.
This milestone proves that the monitoring pipeline is installed and running. It does not yet prove that spaghetti detection is accurate enough for real printer decisions.
Next: complete two full shadow-mode prints, review every detection, and only then test the phone notification and a controlled pause/continue decision.
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