blumeops/.dagger
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
..
src/blumeops_ci Switch Frigate detection model from YOLO-NAS-S to YOLOv9-c (#246) 2026-02-22 15:14:45 -08:00
.gitattributes Adopt Dagger CI for container builds (Phase 1) (#156) 2026-02-11 15:38:31 -08:00
.gitignore Adopt Dagger CI for container builds (Phase 1) (#156) 2026-02-11 15:38:31 -08:00
pyproject.toml Adopt Dagger CI for container builds (Phase 1) (#156) 2026-02-11 15:38:31 -08:00
uv.lock Adopt Dagger CI for container builds (Phase 1) (#156) 2026-02-11 15:38:31 -08:00