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

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eblume merged 1 commit from feature/frigate-yolov9-model into main 2026-02-22 15:14:46 -08:00
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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: yolonasyolo-generic
  • input_dtype: intfloat
  • width/height: 320640
  • 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
## 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
YOLO-NAS is abandoned (Deci acquired by NVIDIA, deps rotting). YOLOv9-c
at 640x640 with yolo-generic model_type benefits from CUDA Graphs in
Frigate 0.17 and is actively maintained. Adds a Dagger pipeline and
mise task for reproducible model exports.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
eblume merged commit d51c180fe6 into main 2026-02-22 15:14:46 -08:00
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