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Switch Frigate detection model from YOLO-NAS-S to YOLOv9-c (#246)

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## Summary
- Replace abandoned YOLO-NAS-S (320x320, `yolonas`) with YOLOv9-c (640x640, `yolo-generic`)
- YOLOv9-c benefits from CUDA Graphs in Frigate 0.17 on the RTX 4080
- Add `export_yolov9` Dagger pipeline and `frigate-export-model` mise task for reproducible model exports
- Model already deployed to `sifaka:/volume1/frigate/models/yolov9-c-640.onnx`

## Config changes
- `model_type: yolonas` → `yolo-generic`
- `input_dtype: int` → `float`
- `width/height: 320` → `640`
- `path:` → `yolov9-c-640.onnx`

## Deployment and Testing
- [ ] Merge and sync Frigate ArgoCD app: `argocd app sync frigate`
- [ ] Verify Frigate starts and detects objects at https://nvr.ops.eblu.me
- [ ] Confirm GPU inference via Frigate system metrics

Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/246
This commit is contained in:
Erich Blume 2026-02-22 15:14:45 -08:00
commit d51c180fe6
5 changed files with 144 additions and 7 deletions
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docs/changelog.d/feature-frigate-yolov9-model.feature.md Normal file
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Switch Frigate object detection from YOLO-NAS-S (320x320) to YOLOv9-c (640x640) with CUDA Graphs support, and add `frigate-export-model` Dagger pipeline + mise task for reproducible model exports.

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docs/reference/services/frigate.md
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---
title: Frigate
modified: 2026-02-19
modified: 2026-02-22
tags:
- service
- surveillance
@ -47,7 +47,7 @@ Camera credentials are stored in 1Password and synced via [[external-secrets]] t
## Detection
Object detection runs on [[ringtail]]'s RTX 4080 via the ONNX detector with CUDA execution provider. The model is YOLO-NAS-S (`yolo_nas_s.onnx`). The previous Apple Silicon Detector on [[indri]] has been retired.
Object detection runs on [[ringtail]]'s RTX 4080 via the ONNX detector with CUDA execution provider (TensorRT). The model is YOLOv9-c at 640x640 (`yolov9-c-640.onnx`, `model_type: yolo-generic`), which benefits from CUDA Graphs in Frigate 0.17. To re-export or change model size, use `mise run frigate-export-model`.
Two zones are configured: `driveway_entrance` (triggers review alerts for person/car) and `driveway` (triggers review detections).