Designing and Deploying a Machine Learning Python Application (Part 2)

You don’t have to be Atlas to get your model into the cloud

Now that we have our trained Detectron2 model (see Part 1), let’s deploy it as a part of an application to provide its inferencing abilities to others.

Even though Part 1 and 2 of this series use Detectron2 for Object Detection, no matter the machine learning library you are using (Detectron, Yolo, PyTorch, Tensorflow, etc) and no matter your use …

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