Instructions to use yeeeengyu/YOLO-drowsiness-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use yeeeengyu/YOLO-drowsiness-detector 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("yeeeengyu/YOLO-drowsiness-detector", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
YOLO Drowsiness Detector for LightBox
LightBox์์ ์ฌ์ฉํ๋ ์ด์ ์ ์กธ์๊ฐ์ง ๋ชจ๋ธ์
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์กธ์ ์์ฒด๋ mediapipe๋ก ๊ณ์ฐํ๋ฉฐ, ์ด ๋ชจ๋ธ์ ์ด์ ์ ์ผ๊ตด / ๋์ ๊ฐ์งํ๋ ๋ชจ๋ธ์
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Model Details
Architecture: YOLO
Framework: Ultralytics / PyTorch
Task: Object Classification
Purpose: Driver drowsiness detection
environments: RTX 4090 + Cuda 12.4 + Ubuntu 22.04 LTS
Classes
openclosedface
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