Currently using TensorFlow serving via docker to deploy an object detection model. Is there a way to log all predict requests/responses so I can save and view them locally for debugging? Input image coming in as a binary string. Is it possible with docker or is there another way that involves changing source code and building a custom image? Is there another deployment tool that would do this better?
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