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[OSPP] Using KubeEdge to implement deep learning-based device fault detection scenarios
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
Welcome @luchaoshi45! It looks like this is your first PR to kubeedge/examples 🎉
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.
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.
lgtm
Looks good! lgtm
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