107 lines
4.7 KiB
Markdown
107 lines
4.7 KiB
Markdown
# Install OpenVINO™ Runtime via Homebrew {#openvino_docs_install_guides_installing_openvino_brew}
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@sphinxdirective
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With the OpenVINO™ 2022.3 release, you can install OpenVINO Runtime on macOS and Linux via `Homebrew <https://brew.sh/>`_. OpenVINO™ Development Tools can be installed via PyPI only. See :ref:`Installing Additional Components <intall additional components brew>` for more information.
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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.
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Installing OpenVINO Runtime from Homebrew is recommended for C++ developers. If you are working with Python, the PyPI package has everything needed for Python development and deployment on CPU and GPUs. Visit the :doc:`Install OpenVINO from PyPI <openvino_docs_install_guides_installing_openvino_pip>` page for instructions on how to install OpenVINO Runtime for Python using PyPI.
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.. note::
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Only CPU is supported for inference if you install OpenVINO via HomeBrew.
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.. warning::
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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>`_.
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@endsphinxdirective
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## Prerequisites
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### System Requirements
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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>`_
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@endsphinxdirective
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### Software Requirements
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@sphinxdirective
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.. tab:: macOS
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* `Homebrew <https://brew.sh/>`_
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* `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).
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* `Python 3.7 - 3.10 <https://www.python.org/downloads/mac-osx/>`_ (choose 3.7 - 3.10). Install and add it to path.
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* Apple Xcode Command Line Tools. In the terminal, run `xcode-select --install` from any directory to install it.
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* (Optional) Apple Xcode IDE (not required for OpenVINO™, but useful for development)
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.. tab:: Linux
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* `Homebrew <https://brew.sh/>`_
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* `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`_
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* GCC 7.5.0 (for Ubuntu 18.04) or GCC 9.3.0 (for Ubuntu 20.04)
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* `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`_
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@endsphinxdirective
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## Installing OpenVINO Runtime
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@sphinxdirective
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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.
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2. Open a command prompt terminal window, and run the following command to install OpenVINO Runtime:
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.. code-block:: sh
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brew install openvino
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Congratulations, you've finished the installation!
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.. _intall additional components brew:
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@endsphinxdirective
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## (Optional) Installing Additional Components
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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.
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See **For C++ Developers** section on the :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` page for instructions.
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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>`_.
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@endsphinxdirective
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## Uninstalling OpenVINO
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To uninstall OpenVINO via HomeBrew, use the following command:
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```sh
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brew uninstall openvino
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```
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## What's Next?
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@sphinxdirective
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Now that you've installed OpenVINO Runtime, you can try the following things:
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* Learn more about :doc:`OpenVINO Workflow <openvino_workflow>`.
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* To prepare your models for working with OpenVINO, see :doc:`Model Preparation <openvino_docs_model_processing_introduction>`.
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* See pre-trained deep learning models in our :doc:`Open Model Zoo <model_zoo>`.
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* Learn more about :doc:`Inference with OpenVINO Runtime <openvino_docs_OV_UG_OV_Runtime_User_Guide>`.
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* See sample applications in :doc:`OpenVINO toolkit Samples Overview <openvino_docs_OV_UG_Samples_Overview>`.
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* Take a glance at the OpenVINO product home page: https://software.intel.com/en-us/openvino-toolkit.
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@endsphinxdirective
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## Additional Resources
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- [OpenVINO Installation Selector Tool](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html)
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