Example Kubernetes deployment of OpenVINO face detector

Setup to serve an OpenVINO face detector model on Kubernetes

Deploying to Kubernetes

1. Apply the YAML file

kubectl apply -f openvino-model-server.ymal

2. Follow steps 5 and 6 from the OVMS Quickstart.

3. Forward traffic from localhost to the Kubernetes service

kubectl port-forward service/openvino-model-server 9000:9000

4. Follow steps 7 and 8 from the OVMS Quickstart.

Building the docker container

1. Copy the face detection model to the current directory (from the OVMS Quickstart)

curl --create-dirs https://download.01.org/opencv/2021/openvinotoolkit/2021.1/open_model_zoo/models_bin/1/face-detection-retail-0004/FP32/face-detection-retail-0004.xml https://download.01.org/opencv/2021/openvinotoolkit/2021.1/open_model_zoo/models_bin/1/face-detection-retail-0004/FP32/face-detection-retail-0004.bin -o model/1/face-detection-retail-0004.xml -o model/1/face-detection-retail-0004.bin

2. Build and push the docker container image

docker build . -t <NAME>
docker push <NAME>