AzureML

Instructions to Run the Notebooks in Azure ML Studio

The steps below assume that you have an Azure account and access to the Azure ML Studio. This process will take approximately 10 minutes.

Step 0: Add a Compute Instance

In Azure ML Studio, add a compute instance and pick any CPU-based instance (No GPU required).

Once the compute instance is running, open the terminal and then run Steps 1-8 below.

Step 1: Create a Conda Environment

conda create --name openvino_env python=3.8 -y

Step 2: Activate the Environment

conda activate openvino_env

Step 3: Clone OpenVINO Notebooks

git clone https://github.com/openvinotoolkit/openvino_notebooks.git

Step 4: Change Directory to openvino_notebooks

cd openvino_notebooks

Step 5: Upgrade pip and Install Requirements

python -m pip install --upgrade pip
pip install -r requirements.txt

Step 6: Add openvino_env to PATH

set PATH="/anaconda/envs/openvino_env/bin;%PATH%"

Step 7: Install the virtualenv Kernel in Jupyter

python -m ipykernel install --user --name openvino_env

Step 8: Run the Notebooks!

To run the notebooks, click on Notebooks and refresh your Files:

Select a notebook:

Then run all cells: