Add automatic number plate recognition notebook

[RizwanMunawar]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Added a new notebook for Automatic Number Plate Recognition (ANPR) using Ultralytics YOLO and OpenAI GPT-4o-mini, enabling number plate detection and text recognition.

📊 Key Changes

• Added a new ANPR example notebook for detecting vehicle license plates and recognizing their characters.
• Introduced combination usage of Ultralytics YOLO for object detection and OpenAI GPT-4o-mini for text recognition on number plate regions.
• Included code to process videos, detect number plates, and extract text in real-time using computer vision and AI models.
• Added setup instructions, pretrained demo files (anpr-demo-video.mp4 and anpr-demo-model.pt), and OpenAI API integration.

🎯 Purpose & Impact

• Purpose: Demonstrates how to use YOLOv8 with GPT models for real-world applications like traffic monitoring, parking systems, and automated security systems.
• Impact:
  • Simplifies license plate recognition workflows. 🚗
  • Provides a ready-to-use, beginner-friendly resource showcasing the integration of hardware-accelerated object detection with advanced AI text recognition.
  • Enables users to explore and adapt ANPR models for various use cases.

[UltralyticsAssistant]

👋 Hello @RizwanMunawar, thank you for proposing this amazing addition to the ultralytics/notebooks repository! 🚀 Your PR introducing Automatic Number Plate Recognition (ANPR) with Ultralytics YOLO and OpenAI GPT is a very exciting contribution. To ensure the seamless integration of your valuable work, please consider the following points below:

• ✅ Purpose and Context: You've clearly outlined the purpose and context of the notebook and its potential real-world applications 🚗. Ensure your commit messages are clear and provide a succinct summary of their changes.
• ✅ Synchronize with Source: Double-check that your PR is fully synchronized with the main branch of the ultralytics/notebooks repository. If your branch is behind, update it by using the 'Update branch' button or running git pull and merging it locally.
• ✅ Continuous Integration (CI): Confirm that all Continuous Integration (CI) checks are passing. If any checks fail, kindly address the issues.
• ✅ Documentation and README: Great improvement to the documentation! Ensure that all examples and instructions provided in the notebook are clear and easy to reproduce for users.
• ✅ Testing: Please confirm that the added notebook has been tested end-to-end. If possible, you might also consider including additional functions or lightweight test scripts to validate the ANPR pipeline in code submissions.
• ✅ Contributor License Agreement (CLA): If this is your first contribution, don’t forget to sign the Contributor License Agreement (CLA). Add "I have read the CLA Document and I sign the CLA" as a comment here to complete this step.
• ✅ Open Feedback: Ensure you're actively addressing comments and feedback received from maintainers or the community as your PR is reviewed.

We’re thrilled about this contribution—it showcases Ultralytics YOLO's flexibility and potential to integrate with other AI models for diverse applications like ANPR. 🛠️

Finally, keep in mind that this is an automated response to assist you in preparing your pull request for merging. An Ultralytics engineer will review your PR and provide further feedback or approval soon. Feel free to reply with any questions or updates you may have in the meantime.

For any further reference, please review our Contributing Guide. Thank you for being an awesome part of the Ultralytics community! 🚀

[ambitious-octopus]

Look good!

[UltralyticsAssistant]

🎉 Great news! Your PR has been merged, @RizwanMunawar and @ambitious-octopus! 🚀

Your incredible ANPR notebook showcases the brilliance of combining YOLO and GPT models to make real-world AI magic happen. From traffic monitoring to security systems, your contributions pave the way for smarter, more connected solutions. 🌐✨

As Leonardo da Vinci once said, "Simplicity is the ultimate sophistication." Your work brings elegant simplicity to complex processes, empowering users to unlock new possibilities.

Thank you for your passion and innovation—this is just the beginning of impactful change! 🙌