4.4 KiB
Install OpenVINO™ Runtime via Homebrew
@sphinxdirective
.. 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>
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.
.. 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>_.
.. tab:: System Requirements
| Full requirement listing is available in:
| System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>__
.. tab:: 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 - 3.11 <https://www.python.org/downloads/mac-osx/>`__ . 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), GCC 9.3.0 (for Ubuntu 20.04) or GCC 11.3.0 (for Ubuntu 22.04)
* `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`__
Installing OpenVINO Runtime ###########################
-
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. -
Open a command prompt terminal window, and run the following command to install OpenVINO Runtime:
.. code-block:: sh
brew install openvino
-
Check if the installation was successful by listing all Homebrew packages:
.. code-block:: sh
brew list
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 the 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>. - Check out 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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