Instructions to use Aleton/Zebra_crossing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Aleton/Zebra_crossing with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("Aleton/Zebra_crossing", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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license: mit
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# 🦓 YOLOv8 — Сегментация пешеходных переходов
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license: mit
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library_name: ultralytics
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tags:
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- image-segmentation
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- yolo
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- yolov8
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- computer-vision
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# 🦓 YOLOv8 — Сегментация пешеходных переходов
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