Skip to content

Latest commit

 

History

History
30 lines (16 loc) · 636 Bytes

readme.md

File metadata and controls

30 lines (16 loc) · 636 Bytes
Raw

Drowsiness Detection

A project for Drowsiess Detection in Python, using OpenCV and YOLO. We use the device camera to train the custom model for images and classifying them as 'awake' or 'drowsy', which is used for future live prediction.

Major Libraries Used:

  • Yolov5
  • LabelImg
  • OpenCV
  • Pytorch
  • Numpy
  • Matplotlib

Implementation

To implement this project:

  Run Jupyter Notebooks using jupyter notebook in cmd and run the code. Make a folder in your preferred directory for data and images and set the absolute address accordingly.

Authors