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Showing how to build simple real-time video analytics apps using YOLOv8 and Supervision

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YOLOv8 LIVE: Real-Time Video Analytics

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Introduction

What it does: YOLOv8 LIVE empowers users to effortlessly build real-time video analytics applications. This project harnesses the capabilities of YOLOv8 for robust object detection and Supervision for a seamless workflow.

Key Benefits:

  • Real-time processing: Analyze video streams instantly, enabling immediate insights and actions.
  • Customizable object detection: Train YOLOv8 on your dataset to identify specific objects of interest.
  • Intuitive framework: Supervision simplifies the visualization and refinement of object detection results.

Installation

# Create a Python virtual environment
python3 -m venv venv

# Activate the virtual environment
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Execute

python3 -m main

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Try it out, and most importantly have fun!

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Showing how to build simple real-time video analytics apps using YOLOv8 and Supervision

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