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ultralytics 8.0.53 DDP AMP and Edge TPU fixes (#1362)

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Co-authored-by: Richard Aljaste <richardaljasteabramson@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Vuong Kha Sieu <75152429+hotfur@users.noreply.github.com>
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<a href="https://bit.ly/ultralytics_hub" target="_blank">
<img width="100%" src="https://github.com/ultralytics/assets/raw/main/im/ultralytics-hub.png"></a>
<br>
<br>
<div align="center">
<a href="https://github.com/ultralytics" style="text-decoration:none;">
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="2%" alt="" /></a>
@ -27,26 +26,26 @@
<img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-instagram.png" width="2%" alt="" /></a>
<br>
<br>
<a href="https://github.com/ultralytics/hub/actions/workflows/ci.yaml">
<img src="https://github.com/ultralytics/hub/actions/workflows/ci.yaml/badge.svg" alt="CI CPU"></a>
<a href="https://colab.research.google.com/github/ultralytics/hub/blob/master/hub.ipynb">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a>
<a href="https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app" style="text-decoration:none;">
<img src="https://raw.githubusercontent.com/ultralytics/assets/master/app/google-play.svg" width="15%" alt="" /></a>&nbsp;
<a href="https://apps.apple.com/xk/app/ultralytics/id1583935240" style="text-decoration:none;">
<img src="https://raw.githubusercontent.com/ultralytics/assets/master/app/app-store.svg" width="15%" alt="" /></a>
</div>
<br>
Welcome to the Ultralytics HUB app for demonstrating YOLOv5 and YOLOv8 models! In this app, available on the [Apple App
Store](https://apps.apple.com/xk/app/ultralytics/id1583935240) and the
[Google Play Store](https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app), you will be able
to see the power and capabilities of YOLOv5, a state-of-the-art object detection model developed by Ultralytics.
Welcome to the Ultralytics HUB app, which is designed to demonstrate the power and capabilities of the YOLOv5 and YOLOv8
models. This app is available for download on
the [Apple App Store](https://apps.apple.com/xk/app/ultralytics/id1583935240) and
the [Google Play Store](https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app).
**To install simply scan the QR code above**. The App currently features YOLOv5 models, with YOLOv8 models coming soon.
**To install the app, simply scan the QR code provided above**. At the moment, the app features YOLOv5 models, with
YOLOv8 models set to be available soon.
With YOLOv5, you can detect and classify objects in images and videos with high accuracy and speed. The model has been
trained on a large dataset and is able to detect a wide range of objects, including cars, pedestrians, and traffic
signs.
With the YOLOv5 model, you can easily detect and classify objects in images and videos with high accuracy and speed. The
model has been trained on a vast dataset and can recognize a wide range of objects, including pedestrians, traffic
signs, and cars.
In this app, you will be able to try out YOLOv5 on your own images and videos, and see the model in action. You can also
learn more about how YOLOv5 works and how it can be used in real-world applications.
Using this app, you can try out YOLOv5 on your images and videos, and observe how the model works in real-time.
Additionally, you can learn more about YOLOv5's functionality and how it can be integrated into real-world applications.
We hope you enjoy using YOLOv5 and seeing its capabilities firsthand. Thank you for choosing Ultralytics for your object
detection needs!
We are confident that you will enjoy using YOLOv5 and be amazed at its capabilities. Thank you for choosing Ultralytics
for your AI solutions.