Install Intel® Distribution of OpenVINO™ Toolkit from PyPI Repository

Using the PyPI repository, you can install either OpenVINO™ Runtime or OpenVINO Development Tools on Windows, Linux, and macOS systems. This article focuses on OpenVINO™ Runtime.

Installing OpenVINO Runtime

For system requirements and troubleshooting, see https://pypi.org/project/openvino/

Step 1. Set Up Python Virtual Environment

Use a virtual environment to avoid dependency conflicts.

To create a virtual environment, use the following command:

python -m venv openvino_env

python3 -m venv openvino_env

Step 2. Activate Virtual Environment

openvino_env\Scripts\activate

source openvino_env/bin/activate

Important

The above command must be re-run every time a new command terminal window is opened.

Step 3. Set Up and Update PIP to the Highest Version

Use the following command:

python -m pip install --upgrade pip

Step 4. Install the Package

Use the following command:

python -m pip install openvino

Step 5. Verify that the Package Is Installed

Run the command below:

python -c "from openvino.runtime import Core; print(Core().available_devices)"

If installation was successful, you will see the list of available devices. Congratulations! You have finished installing OpenVINO Runtime.

What’s Next?

Now that you’ve installed OpenVINO Runtime, you’re ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.

https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif

Try the Python Quick Start Example to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.

Get started with Python

Visit the Tutorials page for more Jupyter Notebooks to get you started with OpenVINO, such as:

Run OpenVINO on accelerated devices

OpenVINO Runtime has a plugin architecture that enables you to run inference on multiple devices without rewriting your code. Supported devices include integrated GPUs, discrete GPUs and GNAs. Visit the Additional Configurations page for instructions on how to configure your hardware devices to work with OpenVINO.

Additional Resources