colab

[Leedong414]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

The PR introduces an interactive Google Colab notebook integrating voice commands to execute YOLOv5 object detection.

📊 Key Changes

• A new Jupyter notebook titled Untitled1.ipynb was added.
• The notebook includes steps to mount Google Drive, install and import necessary libraries like gtts for Google Text-to-Speech, and pyaudio & speech_recognition for audio processing.
• It features a function to convert text to speech in Korean, save the audio, and later recognize speech from saved audio files to trigger object detection tasks using pre-trained YOLOv5 models.
• The PR showcases an example where object detection is executed based on voice command recognition output.

🎯 Purpose & Impact

• Purpose: Streamline the use of YOLOv5 for object detection by enabling voice command activation, making it more accessible and user-friendly, especially for Korean-speaking users.
• Impact: Simplifies the process for users to engage with YOLOv5 object detection tasks without the need for manual script execution. This innovation may enhance the user experience, particularly in interactive environments or applications where hands-free operation is desirable. 🚀🎤

[github-actions]

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[Leedong414]

colab

[github-actions]

👋 Hello @Leedong414, thank you for submitting a YOLOv5 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

• ✅ Verify your PR is up-to-date with ultralytics/yolov5 master branch. If your PR is behind you can update your code by clicking the 'Update branch' button or by running git pull and git merge master locally.
• ✅ Verify all YOLOv5 Continuous Integration (CI) checks are passing.
• ✅ Reduce changes to the absolute minimum required for your bug fix or feature addition. "It is not daily increase but daily decrease, hack away the unessential. The closer to the source, the less wastage there is." — Bruce Lee

[glenn-jocher]

Hi there! 👋

Thanks for your interest in using YOLOv5 with Google Colab. You can easily get started with our Colab Notebook, which provides a browser-based experience for running YOLOv5. This setup is perfect for quick experiments and leveraging free GPU resources.

If you need further guidance, please refer to our Google Cloud Quickstart Tutorial, which also includes steps for Colab.

Happy coding! 🚀