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ONNX Runtime with OpenVINO execution provider using Azure Machine Learning service

This tutorial uses a single container to deploy the TinyYolo model on the Intel UP2 device.

In this example a sample container is built using the Azure Machine Learning Service.

Setup Steps

1. An Azure Account Subscription (with pre-paid credits or billing through existing payment channels)

Set up the account in Azure portal using this tutorial.

  • Your subscription must have pre-paid credits or bill through existing payment channels. (If you make an account for the first time, you can get 12 months free and $200 in credits to start with.)

2. Setup Jupyter Environment to run this tutorial notebook.

2a. You can also use Jupyter Notebooks with NotebookVM in Azure Machine Learning Workspace.

1. If you have an Azure Machine Learning service workspace, skip to step #2. Otherwise, create one now.
- Sign in to the [Azure portal](https://portal.azure.com) by using the credentials for the Azure subscription you use.
- In the upper-left corner of the portal, select __Create a resource__.
- In the search bar, enter __Machine Learning__. Select the __Machine Learning service workspace__ search result.
- In the __ML service workspace__ pane, scroll to the bottom and select Create to begin.
- In the __ML service workspace__ pane, configure your workspace and select __Create__. It can take a few minutes to create the workspace. When the process is finished, a deployment success message appears. It's also present in the notifications section. To view the new workspace, select __Go to resource__.

2. Create a cloud-based notebook server.
- Open your Machine Learning workspace in the Azure portal.
- On your workspace page in the Azure portal, select __Notebook VMs__ on the left.
- Select __+New__ to create a notebook VM.
- Provide a name for your VM and select __Create__.
- Wait approximately 4-5 minutes until the status changes to __Running__
3. Launch the Jupyter wed interface in your Notebook VM
- Select __Jupyter__ in the __URI__ column for your VM.
- On the Jupyter notebook webpage, the top foldername is your username.

More details about quickstart setup instructions are located [here](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook).

Clone this repo to your Notebook VM

From the Notebook VM launch the Jupyter web interface as descriped in step #3 above. Click New -> Terminal on the upper right corner of the web interface. You will get a new browser tab with the bash prompt. You can use regular git clone --recursive https://github.com/Azure-Samples/onnxruntime-iot-edge command line commands to clone this repository into a desired folder.

Get Started

Open the notebook AzureML-OpenVINO/AML-BYOC-ONNXRUNTIME-OpenVINO.ipynb and start executing the cells.