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Add Apple Silicon ZMQ detector for Frigate (#206)

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## Summary

- New `frigate_detector` ansible role deploys the [apple-silicon-detector](https://github.com/frigate-nvr/apple-silicon-detector) as a LaunchAgent on indri
- Switches Frigate from ONNX CPU detector (~117ms) to ZMQ detector backed by CoreML/Neural Engine (~15ms)
- Removes detect FPS cap (no longer needed with fast inference)
- Updates Frigate docs and adds changelog fragment

## Deployment

### Phase 1: Deploy detector on indri (one-time setup + ansible)
```fish
ssh indri 'git clone https://github.com/frigate-nvr/apple-silicon-detector.git ~/code/3rd/apple-silicon-detector'
ssh indri 'cd ~/code/3rd/apple-silicon-detector && make install'
mise run provision-indri -- --tags frigate_detector --check --diff  # dry run
mise run provision-indri -- --tags frigate_detector                 # apply
ssh indri 'launchctl list mcquack.eblume.frigate-detector'          # verify running
ssh indri 'tail ~/Library/Logs/mcquack.frigate-detector.out.log'    # verify bound
```

### Phase 2: Test connectivity
```fish
kubectl --context=minikube-indri -n frigate exec deploy/frigate -- nc -vz host.minikube.internal 5555
```

### Phase 3: Deploy Frigate config (branch workflow)
```fish
argocd app set frigate --revision feature/frigate-zmq-detector && argocd app sync frigate
```

### Phase 4: Post-deploy checks
- [ ] Pod starts, no config errors
- [ ] `/api/stats` shows detector type zmq, inference_speed ~15ms
- [ ] detect_fps uncapped
- [ ] Recordings and MQTT events flowing
- [ ] After merge: `argocd app set frigate --revision main && argocd app sync frigate`

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/206
This commit is contained in:
Erich Blume 2026-02-17 19:03:28 -08:00
commit 5f9b024b4a
8 changed files with 137 additions and 14 deletions
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18
docs/reference/services/frigate.md
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@ -27,12 +27,14 @@ Open-source network video recorder (NVR) with object detection. Runs cloud-free
ReoLink Camera (GableCam)
│ RTSP
▼
Frigate pod
├── go2rtc — RTSP restream proxy
├── FFmpeg — stream decoding
├── ONNX detector — object detection (YOLO-NAS-s, CPU)
├── /media/frigate — NFS recordings (sifaka)
└── /db — SQLite (local PVC)
Frigate pod (minikube)
├── go2rtc — RTSP restream proxy
├── FFmpeg — stream decoding
├── ZMQ detector ──tcp://host.minikube.internal:5555──→ apple-silicon-detector
│ ├── CoreML / Neural Engine
│ └── LaunchAgent (mcquack.eblume.frigate-detector)
├── /media/frigate — NFS recordings (sifaka)
└── /db — SQLite (local PVC)
│
└──→ MQTT (Mosquitto) → frigate-notify → ntfy → mobile
```
@ -47,9 +49,9 @@ Camera credentials are stored in 1Password and synced via [[external-secrets]] t
## Detection
Object detection uses ONNX with a YOLO-NAS-s model running on CPU (ARM64). The model file lives on the NFS recordings volume at `/media/frigate/models/yolo_nas_s.onnx`.
Object detection uses the [apple-silicon-detector](https://github.com/frigate-nvr/apple-silicon-detector) with a YOLOv9-m model (`yolo-generic`, 320x320), running natively on [[indri]] as a LaunchAgent (`mcquack.eblume.frigate-detector`). It communicates with Frigate via ZMQ over TCP (`tcp://host.minikube.internal:5555`), using CoreML with partial Neural Engine acceleration (~100-170ms inference). Model ONNX files are stored on the NFS volume at `/media/frigate/models/`.
A `driveway_entrance` zone is configured for alert filtering — only detections in this zone trigger review alerts.
Two zones are configured: `driveway_entrance` (triggers review alerts for person/car) and `driveway` (triggers review detections).
## Retention