YOLO Project

A project implementing the YOLO (You Only Look Once) object detection algorithm.

Features

• Real-time object detection
• High accuracy and speed
• Easy to use and customize

Prerequisites

• Python 3.x installed on your system

Installation & Setup

1. Clone the repository:

   git clone https://github.com/yourusername/Yolo.git
   cd Yolo

2. Create a virtual environment (recommended):

   python3 -m venv yolo8env
   source yolo8env/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

   Note:
   The requirements.txt includes:

   • cvzone==1.6.1
   • ultralytics==8.3.144
   • cv2 (Install via opencv-python if you encounter issues)

Usage

python detect.py --image path/to/image.jpg

Project Structure

• detect.py - Main detection script
• models/ - Pretrained YOLO models
• data/ - Sample images and datasets

Additional Notes

• If you get errors related to cv2, install it using:

  pip install opencv-python

• Activate your environment each time before running scripts:

  source yolo8env/bin/activate

Contributing

Contributions are welcome! Please open issues or submit pull requests.

License

This project is licensed under the MIT License.