OpenVINO™ Development Tools

Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing and deploying AI inference. It can be used to develop applications and solutions based on deep learning tasks, such as: emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, etc. It provides high-performance and rich deployment options, from edge to cloud.

OpenVINO™ Development Tools enables you to download models from Open Model Zoo, convert your own models to OpenVINO IR, as well as optimize and tune pre-trained deep learning models. See What's in the Package for more information.

System Requirements

Before you start the installation, check the supported operating systems and required Python* versions. The complete list of supported hardware is available in the Release Notes.

C++ libraries are also required for the installation on Windows*. To install that, you can download the Visual Studio Redistributable file (.exe).

NOTE: This package can be installed on other versions of macOS, Linux and Windows, but only the specific versions above are fully validated.

NOTE: The current version of the OpenVINO™ Runtime for macOS* supports inference on Intel® CPUs only.

Install the OpenVINO™ Development Tools Package

Step 1. Set Up Python Virtual Environment

Use a virtual environment to avoid dependency conflicts.

To create a virtual environment, use the following commands:

On Windows:

python -m venv openvino_env

On Linux and macOS:

python3 -m venv openvino_env

NOTE: On Linux and macOS, you may need to install pip. For example, on Ubuntu execute the following command to get pip installed: sudo apt install python3-venv python3-pip.

Step 2. Activate Virtual Environment

On Linux and macOS:

source openvino_env/bin/activate

On Windows:

openvino_env\Scripts\activate

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

Run the command below:

python -m pip install --upgrade pip

Step 4. Install the Package

There are two options to install OpenVINO Development Tools:

Installing Default Components

To install the default components in the package (see the What's in the Package section of this article), use the following command:

pip install openvino-dev

Installing Components for Specific Frameworks

To install and configure the components of the package for working with specific frameworks, use the following command:

pip install openvino-dev[extras]

where extras has the following values:

For example, to install and configure the components for working with TensorFlow 2.x, Apache MXNet and Caffe, use the following command:

pip install openvino-dev[tensorflow2,mxnet,caffe]

NOTE: Model Optimizer support for TensorFlow 1.x environment has been deprecated. Use TensorFlow 2.x environment to convert both TensorFlow 1.x and 2.x models.

Step 5. Verify that the Package Is Installed

• To verify that the developer package is properly installed, run the command below (this may take a few seconds):

  mo -h
  

  You will see the help message for Model Optimizer if installation finished successfully.

• To verify that OpenVINO Runtime from the runtime package is available, run the command below:

  python -c "from openvino.runtime import Core"
  

  If installation was successful, you will not see any error messages (no console output).

What's in the Package?

NOTE: The openvino-dev package installs OpenVINO™ Runtime as a dependency, which is the engine that runs the deep learning model and includes a set of libraries for an easy inference integration into your applications.

In addition, the openvino-dev package installs the following components by default:

Troubleshooting

For general troubleshooting steps and issues, see Troubleshooting Guide for OpenVINO Installation. The following sections also provide explanations to several error messages.

zsh: no matches found : openvino-dev[...]

If you use zsh (Z shell) interpreter, that is the default shell for macOS starting with version 10.15 (Catalina), you may encounter the following error while installing openvino-dev package with extras:

pip install openvino-dev[tensorflow2,mxnet,caffe]
zsh: no matches found: openvino-dev[tensorflow2,mxnet,caffe]

By default zsh interprets square brackets as an expression for pattern matching. To resolve this issue, you need to escape the command with quotes:

pip install 'openvino-dev[tensorflow2,mxnet,caffe]'

To avoid such issues you can also disable globbing for PIP commands by defining an alias in ~/.zshrc file:

alias pip='noglob pip'

ERROR:root:Could not find the Inference Engine or nGraph Python API.

On Windows*, some libraries are necessary to run OpenVINO. To resolve this issue, install the C++ redistributable (.exe). You can also view a full download list on the official support page.

ImportError: libpython3.7m.so.1.0: cannot open shared object file: No such file or directory

To resolve missing external dependency on Ubuntu* 18.04, execute the following command:

sudo apt-get install libpython3.7

Additional Resources

• Intel® Distribution of OpenVINO™ toolkit
• OpenVINO™ Documentation
• OpenVINO™ Notebooks

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