Instructions to use kagabo/hf_water_meter_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use kagabo/hf_water_meter_models with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("kagabo/hf_water_meter_models") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Rwanda Water Meter Reading Models
This repository stores YOLO model checkpoints for a water meter reading system.
Classes
- meter
- window
- 0
- 1
- 2
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- 6
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Models
| File | Description |
|---|---|
models/old_claude_yolo12n_raw_pascal_best.pt |
Old Claude YOLOv12n raw+Pascal model |
models/new_clean_yolo12n_raw_pascal_best.pt |
New clean YOLOv12n model |
models/single_combined_yolo11m_best.pt |
Single-combined YOLO11m model |
models/single_combined_yolo11l_1024_best.pt |
Single-combined YOLO11l 1024 model |
Usage
from ultralytics import YOLO
model = YOLO("models/new_clean_yolo12n_raw_pascal_best.pt")
results = model.predict("image.jpg", imgsz=960, conf=0.10)
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