Object Detection using YOLO

This project provides an easy-to-use implementation for detecting objects in videos using the YOLO (You Only Look Once) model.

Features

Supports multiple video formats including .mp4, .avi, .flv, .mkv, and .mov.
Organized code structure with clear separation of concerns.
Logs detection results to a dedicated folder.
Progress bar for video processing.
Error handling for video processing.

Prerequisites

Python 3.x
OpenCV
Ultralytics YOLO

Getting Started

Clone the Repository: ``` git clone https://github.com/your_username/your_project_name.git cd your_project_name ```
Install Dependencies: ``` pip install -r requirements.txt ```
Run the Object Detector: ``` python main.py ```

Directory Structure

object_detector.py: Contains the main class for object detection.
main.py: Entry point of the program.
utils.py: Utility functions for the project.
logs/: Folder where the detection results are saved.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License