Add TFLite Edge TPU Docs Integrations Page

[abirami-vina]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Introducing the new TFLite Edge TPU export format for Ultralytics YOLOv8 models, optimized for high-speed, low-power inferencing on edge devices! 🚀

📊 Key Changes

• New Documentation: A comprehensive guide on exporting YOLOv8 models to TFLite Edge TPU format. 📝
• Integration Addition: TFLite Edge TPU now joins the list of Ultralytics integration options, alongside other frameworks. 🔌
• Improved Export Instructions: Detailed steps for converting YOLOv8 models to the TFLite Edge TPU format, ensuring seamless deployment on edge devices. 🔄
• Updated OpenVINO Guide: The guide on exporting models to OpenVINO format has been updated with the latest CPU, GPU, and NPU hardware acceleration info. ✨

🎯 Purpose & Impact

• Speed and Efficiency on Edge Devices: This update allows developers to harness the power of Google's Edge TPUs, significantly speeding up inference times while consuming less power. 🏃💨
• Wider Deployment Options: With the addition of TFLite Edge TPU, users have more flexibility in deploying their models, making Ultralytics YOLOv8 suitable for a broader range of applications, from mobile to embedded systems. 📱🔌
• Easy Integration and Deployment: The straightforward guide makes it easier for both new and seasoned developers to export and deploy their models efficiently, expanding the potential for innovative edge AI solutions. 🛠️🎉

This update is a leap forward for developers looking to deploy high-performance, efficient AI models on edge devices. Whether you're developing smart IoT devices, mobile applications, or any other edge-based AI solution, these changes will provide the tools you need to succeed.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 38.84%. Comparing base (014f0b4) to head (1ba778a).

❗ Current head 1ba778a differs from pull request most recent head 3a926aa. Consider uploading reports for the commit 3a926aa to get more accurate results

Additional details and impacted files

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- Coverage   80.04%   38.84%   -41.21%     
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[glenn-jocher]

@abirami-vina thanks for the PR! Just a note that these links are actually at the same level, so you don't need the ../integrations/ in the link, it can just be (index.md).