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Introduction
In this document, we will give a guide about deploying an application step by step in OTE-stack platform on AI Edge for testing.
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- SSH to the master node of edge cluster or copy the kubeconfig file related to edge cluster to $HOME/.kube .
- Run command `kubectl get svc,pod -n ns1` to check if the pod is running well. The below figure shows the portal of demo and we can access the demo through 10.247.22.115:8080.
- If the application have deployed, the resource usage will be collected to OTE. The page "Data query" will show the informations of the running application.
Step 4: Test the application
- Prepare a picture for face detection, for example: http://aip.bdstatic.com/portal-pc-node/dist/1590550949362/images/technology/face/detect/demo-card-2.jpg
Send request to the face server through the ip:port got by last step
Code Block $ # prepare image $ wget http://aip.bdstatic.com/portal-pc-node/dist/1590550949362/images/technology/face/detect/demo-card-2.jpg $ # make a request $ image=demo-card-2.jpg $ echo '{"image": "'$(base64 -w 0 $image)'"}' > data.json $ curl -X POST 10.247.22.115:8080/face_detect -d@data.json {"objects": [{"location": {"x1": 898, "y1": 217, "x2": 1154, "y2": 518}, "prob": 0.9999696016311646}, {"location": {"x1": 444, "y1": 331, "x2": 700, "y2": 657}, "prob": 0.9997757077217102}]}
