openvino/docs/install_guides/installing-openvino-brew.md

Install OpenVINO™ Runtime via Homebrew

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.. note::

Installing OpenVINO Runtime from Homebrew is recommended for C++ developers. If you work with Python, consider :doc:installing OpenVINO from PyPI <openvino_docs_install_guides_installing_openvino_pip>

The current Homebrew package provides inference support for CPU only.

You can use Homebrew <https://brew.sh/>_ to install OpenVINO Runtime on macOS and Linux. OpenVINO™ Development Tools can be installed via PyPI only. See Installing Additional Components <#optional-installing-additional-components>__ for more information.

See the Release Notes <https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-2022-3-lts-relnotes.html>_ for more information on updates in the latest release.

.. warning::

By downloading and using this container and the included software, you agree to the terms and conditions of the software license agreements <https://software.intel.com/content/dam/develop/external/us/en/documents/intel-openvino-license-agreements.pdf>_.

.. note::

Only CPU is supported for inference if you install OpenVINO via HomeBrew.

.. warning::

By downloading and using this container and the included software, you agree to the terms and conditions of the software license agreements <https://software.intel.com/content/dam/develop/external/us/en/documents/intel-openvino-license-agreements.pdf>__.

Prerequisites ####################

System Requirements ++++++++++++++++++++

Full requirement listing is available on the System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>__

Software Requirements +++++++++++++++++++++

.. tab:: macOS

• Homebrew <https://brew.sh/>_
• CMake 3.13 or higher <https://cmake.org/download/>__ (choose "macOS 10.13 or later"). Add /Applications/CMake.app/Contents/bin to path (for default installation).
• Python 3.7 - 3.10 <https://www.python.org/downloads/mac-osx/>__ (choose 3.7 - 3.10). Install and add it to path.
• Apple Xcode Command Line Tools. In the terminal, run xcode-select --install from any directory to install it.
• (Optional) Apple Xcode IDE (not required for OpenVINO™, but useful for development)

.. tab:: Linux

• Homebrew <https://brew.sh/>_
• CMake 3.13 or higher, 64-bit <https://cmake.org/download/>__
• GCC 7.5.0 (for Ubuntu 18.04) or GCC 9.3.0 (for Ubuntu 20.04)
• Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>__

Installing OpenVINO Runtime ###########################

1. Make sure that you have installed HomeBrew on your system. If not, follow the instructions on the Homebrew website <https://brew.sh/>__ to install and configure it.

2. Open a command prompt terminal window, and run the following command to install OpenVINO Runtime:

   .. code-block:: sh

   brew install openvino

Congratulations, you've finished the installation!

(Optional) Installing Additional Components ###########################################

OpenVINO Development Tools is a set of utilities for working with OpenVINO and OpenVINO models. It provides tools like Model Optimizer, Benchmark Tool, Post-Training Optimization Tool, and Open Model Zoo Downloader. If you installed OpenVINO Runtime using Homebrew, OpenVINO Development Tools must be installed separately.

See For C++ Developers section on the :doc:Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools> page for instructions.

OpenCV is necessary to run demos from Open Model Zoo (OMZ). Some OpenVINO samples can also extend their capabilities when compiled with OpenCV as a dependency. To install OpenCV for OpenVINO, see the instructions on GitHub <https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO>_.

Uninstalling OpenVINO #####################

To uninstall OpenVINO via HomeBrew, use the following command:

.. code-block:: sh

brew uninstall openvino

What's Next? ####################

Now that you've installed OpenVINO Runtime, you can try the following things:

• Learn more about :doc:OpenVINO Workflow <openvino_workflow>.
• To prepare your models for working with OpenVINO, see :doc:Model Preparation <openvino_docs_model_processing_introduction>.
• See pre-trained deep learning models in our :doc:Open Model Zoo <model_zoo>.
• Learn more about :doc:Inference with OpenVINO Runtime <openvino_docs_OV_UG_OV_Runtime_User_Guide>.
• See sample applications in :doc:OpenVINO toolkit Samples Overview <openvino_docs_OV_UG_Samples_Overview>.
• Take a glance at the OpenVINO product home page: https://software.intel.com/en-us/openvino-toolkit.

Additional Resources ####################

• OpenVINO Installation Selector Tool <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html>__

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