azureml-examples
                                
                                
                                
                                    azureml-examples copied to clipboard
                            
                            
                            
                        Endpoint deployment of a computer vision example
I would like to see an example of how a computer vision based model (like object classification or detection) can be deployed to a real-time online endpoint. Specifically, I want to know the best practices and options I have on how to handle the binary input. The following questions revolve in my head:
- Should I provide images by URL?
 - Should I provide images by base64?
 - Should I provide images as uncompressed pixel tensors?
 - Can I provide images as multipart / form-data? (my preferred option)
 - Where and how should I handle preprocessing?
 - How does it nicely integrate with MLflow
 
Thanks