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blumeops/docs/changelog.d/feature-frigate-yolov9-model.feature.md
Erich Blume d51c180fe6 Switch Frigate detection model from YOLO-NAS-S to YOLOv9-c (#246) 
## 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
2026-02-22 15:14:45 -08:00

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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.