manak0/Detect-fire
Specialized public-track package for Score Vision SN44 WTA element
manak0/Detect-fire (weight 0.04, allocation=wta).
| Field | Value |
|---|---|
| HF repo target | synapseml/sn44-detect-fire |
| Short name | fire |
| Max package size | ≤ 30 MB (CHECKER_MAX_MODEL_BYTES=31457280) |
| Track | public / open-source (HF + Chutes) |
Object labels (specialist)
fire, smoke, flame, ember, torch
Required files
miner.py— chute entrypoint (Miner.predict_batch)chute_config.yml— Chutes runtime/imageelement.json— packaging metadata for control planelabels.json— object list for distill / bench
Size gate
Uploaded HF revision snapshot must stay under
31457280 bytes. Measured post-export via:
uv run python -m sn44_elite.public.size_gate --path . --element-id manak0/Detect-fire
Deploy dry-run
bash scripts/deploy_os_dry_run.sh --element-id manak0/Detect-fire --model-path .
This scaffold does not force a mono multi-element blob: each public element lives in its own package directory and HF repo.