ScoreVision
Element: manak0Detect-petrol-station-1-0 Backbone: YOLO11s, NMS-baked ONNX, FP16 weights (19.3 MB). Classes: petrol hose, petrol pump, price board, roof canopy.
Modellquelle
- Art
- Other
- Dateigröße
- 18,4 MB
- Version
- vRevision a486449
- Aktualisiert
- 2. Okt. 2026
- Verleger
- @coolroman
- Downloads
- 0
- Quelle
- Hugging Face
Quellenbeschreibung
Petrol-Station Detection Miner — SN44 (TurboVision)
Element: manak0_Detect-petrol-station-1-0
Backbone: YOLO11s, NMS-baked ONNX, FP16 weights (~19.3 MB).
Classes: petrol hose, petrol pump, price board, roof canopy.
Files
miner.py— chute entrypoint (Miner.predict_batch).best_fp16.onnx— model weights, NMS embedded.class_names.txt— class id → name mapping.chute_config.yml— Chutes runtime spec (Pro 6000, ORT-CUDA).
Inference
- Letterbox 1280×1280, BGR→RGB, /255, NCHW float16.
- Single ORT CUDA pass + horizontal-flip TTA, merged via per-class hard NMS.
- Per-class confidence thresholds tuned on val.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 2. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge# Petrol-Station Detection Miner — SN44 (TurboVision) Element: `manak0_Detect-petrol-station-1-0` Backbone: YOLO11s, NMS-baked ONNX, FP16 weights (~19.3 MB). Classes: `petrol hose`, `petrol pump`, `price board`, `roof canopy`. ## Files - `miner.py` — chute entrypoint (`Miner.predict_batch`). - `best_fp16.onnx` — model weights, NMS embedded. - `class_names.txt` — class id → name mapping. - `chute_config.yml` — Chutes runtime spec (Pro 6000, ORT-CUDA). ## Inference - Letterbox 1280×1280, BGR→RGB, /255, NCHW float16. - Single ORT CUDA pass + horizontal-flip TTA, merged via per-class hard NMS. - Per-class confidence thresholds tuned on val.
Source context: 0 downloads · 0 likes · Repo coolroman/ScoreVision
Source context: 0 downloads · 0 likes · Repo coolroman/ScoreVision
