OpenVINO™ Development Tools

Introduction

OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others. Based on latest generations of artificial neural networks, including Convolutional Neural Networks (CNNs), recurrent and attention-based networks, the toolkit extends computer vision and non-vision workloads across Intel® hardware, maximizing performance. It accelerates applications with high-performance, AI and deep learning inference deployed from edge to cloud.

The developer package includes the following components installed by default:

The developer package also installs the OpenVINO™ Runtime package as a dependency.

The runtime package installs the following components:

System Requirements

The complete list of supported hardware is available in the Release Notes.

The table below lists the supported operating systems and Python* versions required to run the installation.

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

To avoid dependency conflicts, use a virtual environment. Skip this step only if you do want to install all dependencies globally.

Create virtual environment:

python -m pip install --user virtualenv 
python -m venv openvino_env

NOTE: On Linux and macOS, you may need to type python3 instead of python. You may also 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

To install and configure the components of the development package for working with specific frameworks, use the pip install openvino-dev[extras] command, where extras is a list of extras from the table below:

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

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

NOTE: Support of MO in TensorFlow 1.x environment is 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).

Troubleshooting

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: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio"

On Windows* some dependencies may require compilation from source when installing. To resolve this issue, you need to install Build Tools for Visual Studio* 2019 and repeat package installation.

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™ toolkit online documentation
• OpenVINO™ Notebooks

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