A Docker image is provided for you to evaluate these features. You can download this image as part of the AIStreamer .
Please note that use of third-party software is solely at your discretion. Google does not own the copyright of third-party software.
Prerequistes
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Install Docker .
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Install Google Cloud CLI .
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Install Kubernetes .
Build Docker image
Go into the ingestion directory and run the following command line on your host machine:
$ export DOCKER_IMAGE = gcr.io/gcp-project-name/docker-image-name:version $ docker build -t $DOCKER_IMAGE -f env/Dockerfile .
Try Docker image on your local host
Run following command in the terminal for your host machine:
$ docker run -it $DOCKER_IMAGE /bin/bash
The command returns a response similar to the following example.
root @e504724e76fc : / #
To open another terminal connecting to Docker, run the following command on the host machine:
$ docker exec -it e504724e76fc /bin/bash
Now, you have both host terminals that are in the same Docker container.
Docker image environment setting
Some environment settings can be customized in the Docker image .
# set up environment for Google Video Intelligence Streaming API ENV SRC_DIR /googlesrc #Source code directory ENV BIN_DIR /google #Binary directory
Push Docker image to Google Cloud container registry
Run the following command in the terminal for your host machine:
$ gcloud docker --verbosity debug -- push $DOCKER_IMAGE
You might need to set access control.
Deploy to Google Cloud
Run the following commands in the terminal for your host machine:
$ export KUBE_ID = any_string_you_like $ kubectl run -it $KUBE_ID --image = $DOCKER_IMAGE -- /bin/bash
This returns a response similar to the following:
root@$KUBE_ID-215855480-c4sqp:/#
To open another terminal connecting to the same Kubernetes container on Google Cloud, run the following command line on host machine:
$ kubectl exec -it $KUBE_ID -215855480-c4sqp -- /bin/bash
Now, you have both host terminals that are in the same Kubernetes container on Google Cloud.
