YOLO Video Object Detection

A lightweight Python project that performs real-time object detection on video files using YOLOv8 and OpenCV.

This script reads an input video frame by frame, identifies common objects (like people, cars, and animals), draws bounding boxes around them, and saves the result as a new annotated .mp4 video.

Prerequisites

Make sure you have Python 3.8+ installed. You will need the following core libraries:

• opencv-python
• ultralytics
• torch

Installation

1. Clone this repository:

   git clone [https://github.com/YOUR_USERNAME/YOUR_REPO_NAME.git](https://github.com/YOUR_USERNAME/YOUR_REPO_NAME.git)
   cd YOUR_REPO_NAME