UV steps:

• uv init
• add dependencies into toml file
• uv venv <cv_env>
• source cv_env/Scripts/activate
• uv sync
• uv run main.py

computer_vision

computer vision related use cases

YOLOv8 Real-Time Person Counter

A Python project using YOLOv8 and OpenCV to detect and count people crossing a virtual line in real-time via webcam.

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📝 Overview

This project captures video from a camera, detects people using the YOLOv8 object detection model, and counts the number of people crossing a horizontal line. It draws bounding boxes around detected persons and displays their centroids. The total count is shown on the video feed.

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⚙️ Features

• Real-time person detection with YOLOv8.
• Person counting when crossing a horizontal line.
• Bounding boxes and centroids drawn on detected persons.
• Simple visualization of count on video feed.
• Works with webcam or video input.

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📦 Requirements

• Python 3.8+
• Ultralytics YOLOv8
• OpenCV
• NumPy

Install dependencies with:

pip install ultralytics opencv-python numpy