coqui-ai /
TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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signife / repository
A deep learning project to detect driver drowsiness using computer vision. Features real-time monitoring and alert system. Built with Python, OpenCV, and yolov8.
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A deep learning project to detect driver drowsiness using computer webcam. Features real-time monitoring and alert system.
-Environment Setup
pip install -r requirements.txt
-Data Preparation
Using Dataset in roboflow. you can also downloading in here -> Dataset Link
Following below command prompt to proceed with training
yolo task=detect mode=train model=yolov8s.pt data={./data}/data.yaml epochs=100 imgsz=640
-Execution
You can skip the first two steps by downloading the best.pt file that we previously uploaded.
Please execute the code within a virtual environment where the requirements have been installed.
python main.py
| Name | github-links |
|---|---|
| ChangHo Jang | Chris99ChangHo |
driver-drowsiness-detection/
├── main.py/
├── alarm.wav/
├── best.pt/
├── requirements.txt/
└── README.md
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coqui-ai /
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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