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Driver-Drowsiness-detection-using-Mediapipe-in-Python
Tim M 57b5cefde5 Updated all `.md` files to contain newest image 2 tahun lalu
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README.md 57b5cefde5 Updated all `.md` files to contain newest image 2 tahun lalu
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audio_handling.py 43932a4a4d Files added for Drowsiness Detection post 2 tahun lalu
drowsy_detection.py 43932a4a4d Files added for Drowsiness Detection post 2 tahun lalu
requirements.txt 43932a4a4d Files added for Drowsiness Detection post 2 tahun lalu
streamlit_app.py 43932a4a4d Files added for Drowsiness Detection post 2 tahun lalu
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README.md

Driver Drowsines Detection using Mediapipe in Python

This repository contains code for the blog post Driver Drowsines Detection using Mediapipe in Python.

In this post, we will:

  • Learn how to detect eye landmarks using the Mediapipe Face Mesh solution pipeline in python.
  • Introduce and demonstrate the Eye Aspect Ratio (EAR) technique.
  • Create a Drowsiness Detection web application using streamlit.
  • Use streamlit-webrtc to help transmit real-time video/audio streams over the network.
  • Deploy it on a cloud service.

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