Adding integration with Google Cloud Logging and Storage

[hilliao]

Enhance the use case to integrate with Google Cloud logging and storage in the post processing of the image frame method. I want to have this reviewed as a draft. I want to create a RTSP security camera person detection use case for detecting people in the video stream. The alerts are sent by configured Google Cloud log based alert.

[dtrawins]

@hilliao We are going to drop this demo and replace it with a gRPC streaming client with graph example based on MediaPipe graphs. https://github.com/openvinotoolkit/model_server/pull/2170 This new functionality improved the communication mechanism via simple client, better performance and ability to run stateful pipelines.

[hilliao]

@dtrawins I looked at the pull request, the current person_vehicle_bike_detection.py has def postprocess(inference_result: np.ndarray) for me to add my use case. I don't see how that's possible with the new (https://github.com/openvinotoolkit/model_server/blob/main/demos/mediapipe) ; besides, will the output stream visualizer have a green box containing the detected person? My use cases is to save such image in the post process method. How can I do that in the new code?