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[OSPP] Using KubeEdge to implement deep learning-based device fault detection scenarios

Open luchaoshi45 opened this issue 1 year ago • 4 comments

Implement https://github.com/kubeedge/kubeedge/issues/5591

  • Implement a demo for the current scenario based on the KubeEdge framework.
  • Submit the demo application and documentation.
  • ref: https://github.com/kubeedge/kubeedge/pull/5724

luchaoshi45 avatar Sep 03 '24 15:09 luchaoshi45

Welcome @luchaoshi45! It looks like this is your first PR to kubeedge/examples 🎉

kubeedge-bot avatar Sep 03 '24 15:09 kubeedge-bot

Hello, There are three submissions here

1. sound-equipment-fault-detection v1.0:

First submission(there are some problems)

2. Using rest.InClusterConfig:

Use the InClusterConfig() function to get the Kubernetes cluster configuration instead of relying on the kubeconfig file.

3. adjust the order of package import

Adjust the order of package import. Packages starting with github.com/kubeedge should be placed in the third part.

luchaoshi45 avatar Sep 21 '24 08:09 luchaoshi45

Could you please squash some commits? https://kubeedge.io/docs/developer/Supplemental_developer_guide#ensuring-to-squash-similiar-commits

Received, I have completed the squash similiar commits as you requested.

luchaoshi45 avatar Oct 17 '24 10:10 luchaoshi45

lgtm

WillardHu avatar Oct 29 '24 03:10 WillardHu

Looks good! lgtm

Catherine-monk avatar Oct 29 '24 07:10 Catherine-monk

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: fisherxu

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kubeedge-bot avatar Oct 30 '24 07:10 kubeedge-bot