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

1. Clone the Repository: ``` git clone https://github.com/your_username/your_project_name.git cd your_project_name ```

2. Install Dependencies: ``` pip install -r requirements.txt ```

3. 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

MIT