HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Docs improvements and redirect fixes (#16287)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-09-15 00:27:46 +02:00 • committed by GitHub
parent 02e995383d
commit 887b46216c
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
38 changed files with 82 additions and 85 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/en/integrations/edge-tpu.md
View file

@ -113,7 +113,7 @@ However, for in-depth instructions on deploying your TFLite Edge TPU models, tak
In this guide, we've learned how to export Ultralytics YOLOv8 models to TFLite Edge TPU format. By following the steps mentioned above, you can increase the speed and power of your computer vision applications.
For further details on usage, visit the [Edge TPU official website](https://cloud.google.com/edge-tpu).
For further details on usage, visit the [Edge TPU official website](https://cloud.google.com/tpu).
Also, for more information on other Ultralytics YOLOv8 integrations, please visit our [integration guide page](index.md). There, you'll discover valuable resources and insights.