DOCS shift to rst - Install OpenVINO on macOS, Raspbian (#16506)
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Sebastian Golebiewski
GitHub
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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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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 `Installing Additional Components <#optional-installing-additional-components>`__ 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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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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.. 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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.. 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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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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Prerequisites
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####################
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### System Requirements
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System Requirements
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++++++++++++++++++++
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@sphinxdirective
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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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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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Software Requirements
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+++++++++++++++++++++
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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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* `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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* `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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* `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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Installing OpenVINO Runtime
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###########################
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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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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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@ -61,15 +55,11 @@ Full requirement listing is available on the `System Requirements Page <https://
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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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@sphinxdirective
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(Optional) Installing Additional Components
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###########################################
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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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@ -77,20 +67,20 @@ See **For C++ Developers** section on the :doc:`Install OpenVINO Development Too
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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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Uninstalling OpenVINO
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#####################
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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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.. code-block:: sh
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@sphinxdirective
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brew uninstall openvino
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Now that you've installed OpenVINO Runtime, you can try the following things:
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What's Next?
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####################
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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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@ -99,8 +89,9 @@ Now that you've installed OpenVINO Runtime, you can try the following things:
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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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Additional Resources
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####################
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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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@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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@ -1,53 +1,59 @@
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# Install OpenVINO™ Runtime on macOS from an Archive File {#openvino_docs_install_guides_installing_openvino_from_archive_macos}
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@sphinxdirective
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With the OpenVINO™ 2022.3 release, you can download and use archive files to install OpenVINO Runtime. The archive files contain pre-built binaries and library files needed for OpenVINO Runtime, as well as code samples.
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Installing OpenVINO Runtime from archive files 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 [Install OpenVINO from PyPI](installing-openvino-pip.md) page for instructions on how to install OpenVINO Runtime for Python using PyPI.
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Installing OpenVINO Runtime from archive files 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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See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNotes) for more information on updates in the latest release.
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See the `Release Notes <https://software.intel.com/en-us/articles/OpenVINO-RelNotes>`__ for more information on updates in the latest release.
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> **NOTE**: Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter can be installed via [pypi.org](https://pypi.org/project/openvino-dev/) only.
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.. note::
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Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter can be installed via `pypi.org <https://pypi.org/project/openvino-dev/>`__ only.
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@sphinxdirective
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.. tab:: System Requirements
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| Full requirement listing is available in:
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| `System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>`_
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| `System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>`__
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.. tab:: Software Requirements
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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 install).
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* `Python 3.7 - 3.10 <https://www.python.org/downloads/mac-osx/>`_ (choose 3.7 - 3.10). Install and add to path.
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* Apple Xcode Command Line Tools. In the terminal, run `xcode-select --install` from any directory
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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 install).
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* `Python 3.7 - 3.10 <https://www.python.org/downloads/mac-osx/>`__ (choose 3.7 - 3.10). Install and add to path.
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* Apple Xcode Command Line Tools. In the terminal, run ``xcode-select --install`` from any directory
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* (Optional) Apple Xcode IDE (not required for OpenVINO™, but useful for development)
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@endsphinxdirective
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## Installing OpenVINO Runtime
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Installing OpenVINO Runtime
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###########################
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### <a name="install-core"></a>Step 1: Install OpenVINO Core Components
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Step 1: Install OpenVINO Core Components
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++++++++++++++++++++++++++++++++++++++++
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@sphinxdirective
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1. Open a command prompt terminal window.
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2. Create the `/opt/intel` folder for OpenVINO by using the following command. If the folder already exists, skip this command.
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1. Open a command prompt terminal window.
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2. Create the ``/opt/intel`` folder for OpenVINO by using the following command. If the folder already exists, skip this command.
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.. code-block:: sh
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sudo mkdir /opt/intel
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.. note::
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The `/opt/intel` path is the recommended folder path for installing OpenVINO. You may use a different path if desired.
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3. Browse to the current user's `Downloads` folder:
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.. note::
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The ``/opt/intel`` path is the recommended folder path for installing OpenVINO. You may use a different path if desired.
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3. Browse to the current user's ``Downloads`` folder:
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.. code-block:: sh
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cd <user_home>/Downloads
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4. Download the `OpenVINO Runtime archive file for macOS <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/macos/>`_, extract the files, rename the extracted folder and move it to the desired path:
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4. Download the `OpenVINO Runtime archive file for macOS <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/macos/>`__, extract the files, rename the extracted folder and move it to the desired path:
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.. tab:: x86, 64-bit
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@ -65,55 +71,62 @@ See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNo
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tar -xf openvino_2022.3.0.tgz
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sudo mv m_openvino_toolkit_macos_11_0_2022.3.0.9052.9752fafe8eb_arm64 /opt/intel/openvino_2022.3.0
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5. For simplicity, it is useful to create a symbolic link as below:
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.. code-block:: sh
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sudo ln -s openvino_2022.3.0 openvino_2022
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.. note::
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If you have already installed a previous release of OpenVINO 2022, a symbolic link to the `openvino_2022` folder may already exist. Unlink the previous link with `sudo unlink openvino_2022`, and then re-run the command above.
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@endsphinxdirective
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.. note::
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Congratulations, you finished the installation! The `/opt/intel/openvino_2022` folder now contains the core components for OpenVINO. If you used a different path in Step 2, you will find the `openvino_2022` folder there. The path to the `openvino_2022` directory is also referred as `<INSTALL_DIR>` throughout the OpenVINO documentation.
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If you have already installed a previous release of OpenVINO 2022, a symbolic link to the ``openvino_2022`` folder may already exist. Unlink the previous link with ``sudo unlink openvino_2022``, and then re-run the command above.
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### <a name="set-the-environment-variables-macos"></a>Step 2: Configure the Environment
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You must update several environment variables before you can compile and run OpenVINO applications. Open a terminal window and run the `setupvars.sh` script as shown below to temporarily set your environment variables. If your <INSTALL_DIR> is not `/opt/intel/openvino_2022`, use the correct one instead.
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Congratulations, you finished the installation! The ``/opt/intel/openvino_2022`` folder now contains the core components for OpenVINO. If you used a different path in Step 2, you will find the ``openvino_2022`` folder there. The path to the ``openvino_2022`` directory is also referred as ``<INSTALL_DIR>`` throughout the OpenVINO documentation.
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```sh
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source /opt/intel/openvino_2022/setupvars.sh
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```
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Step 2: Configure the Environment
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+++++++++++++++++++++++++++++++++
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If you have more than one OpenVINO™ version on your machine, you can easily switch its version by sourcing the `setupvars.sh` of your choice.
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You must update several environment variables before you can compile and run OpenVINO applications. Open a terminal window and run the ``setupvars.sh`` script as shown below to temporarily set your environment variables. If your ``<INSTALL_DIR>`` is not ``/opt/intel/openvino_2022``, use the correct one instead.
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> **NOTE**: The above command must be re-run every time you start a new terminal session. To set up macOS to automatically run the command every time a new terminal is opened, open `~/.zshrc` in your favorite editor and add `source /opt/intel/openvino_2022/setupvars.sh` after the last line. Next time when you open a terminal, you will see `[setupvars.sh] OpenVINO™ environment initialized`. Changing `~/.zshrc` is not recommended when you have multiple OpenVINO versions on your machine and want to switch among them.
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.. code-block:: sh
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source /opt/intel/openvino_2022/setupvars.sh
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If you have more than one OpenVINO™ version on your machine, you can easily switch its version by sourcing the ``setupvars.sh`` of your choice.
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.. note::
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The above command must be re-run every time you start a new terminal session. To set up macOS to automatically run the command every time a new terminal is opened, open ``~/.zshrc`` in your favorite editor and add ``source /opt/intel/openvino_2022/setupvars.sh`` after the last line. Next time when you open a terminal, you will see ``[setupvars.sh] OpenVINO™ environment initialized``. Changing ``~/.zshrc`` is not recommended when you have multiple OpenVINO versions on your machine and want to switch among them.
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The environment variables are set. Continue to the next section if you want to download any additional components.
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### <a name="model-optimizer-macos"></a>Step 3 (Optional): Install Additional Components
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Step 3 (Optional): Install Additional Components
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++++++++++++++++++++++++++++++++++++++++++++++++
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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 install OpenVINO Runtime using archive files, OpenVINO Development Tools must be installed separately.
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See the [Install OpenVINO Development Tools](installing-model-dev-tools.md) page for step-by-step installation instructions.
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See the :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` page for step-by-step installation 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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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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What's Next?
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####################
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## <a name="get-started-macos"></a>What's Next?
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Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.
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@sphinxdirective
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.. tab:: Get started with Python
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Try the `Python Quick Start Example <https://docs.openvino.ai/nightly/notebooks/201-vision-monodepth-with-output.html>`_ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
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.. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
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:width: 400
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Visit the :ref:`Tutorials <notebook tutorials>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:
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* `OpenVINO Python API Tutorial <https://docs.openvino.ai/nightly/notebooks/002-openvino-api-with-output.html>`_
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* `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/nightly/notebooks/001-hello-world-with-output.html>`_
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* `Convert a PyTorch model and use it for image background removal <https://docs.openvino.ai/nightly/notebooks/205-vision-background-removal-with-output.html>`_
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@ -121,44 +134,38 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine
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.. tab:: Get started with C++
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Try the `C++ Quick Start Example <openvino_docs_get_started_get_started_demos.html>`_ for step-by-step instructions on building and running a basic image classification C++ application.
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.. image:: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg
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:width: 400
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Visit the :ref:`Samples <code samples>` page for other C++ example applications to get you started with OpenVINO, such as:
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* `Basic object detection with the Hello Reshape SSD C++ sample <openvino_inference_engine_samples_hello_reshape_ssd_README.html>`_
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* `Automatic speech recognition C++ sample <openvino_inference_engine_samples_speech_sample_README.html>`_
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@endsphinxdirective
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Uninstalling Intel® Distribution of OpenVINO™ Toolkit
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#####################################################
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## <a name="uninstall-from-macos"></a>Uninstalling Intel® Distribution of OpenVINO™ Toolkit
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To uninstall the toolkit, follow the steps on the :doc:`Uninstalling page <openvino_docs_install_guides_uninstalling_openvino>`.
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To uninstall the toolkit, follow the steps on the [Uninstalling page](uninstalling-openvino.md).
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## Additional Resources
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@sphinxdirective
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Additional Resources
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####################
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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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* :ref:`Troubleshooting Guide for OpenVINO Installation & Configuration <troubleshooting guide for install>`
|
||||
* Converting models for use with OpenVINO™: :ref:`Model Optimizer User Guide <deep learning model optimizer>`
|
||||
* Writing your own OpenVINO™ applications: :ref:`OpenVINO™ Runtime User Guide <deep learning openvino runtime>`
|
||||
* Sample applications: :ref:`OpenVINO™ Toolkit Samples Overview <code samples>`
|
||||
* Pre-trained deep learning models: :ref:`Overview of OpenVINO™ Toolkit Pre-Trained Models <model zoo>`
|
||||
* IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit`_
|
||||
* IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit <https://github.com/intel-iot-devkit>`__
|
||||
|
||||
<!---
|
||||
To learn more about converting models from specific frameworks, go to:
|
||||
To learn more about converting models from specific frameworks, go to:
|
||||
* :ref:`Convert Your Caffe Model <convert model caffe>`
|
||||
* :ref:`Convert Your TensorFlow Model <convert model tf>`
|
||||
* :ref:`Convert Your Apache MXNet Model <convert model mxnet>`
|
||||
* :ref:`Convert Your Kaldi Model <convert model kaldi>`
|
||||
* :ref:`Convert Your ONNX Model <convert model onnx>`
|
||||
--->
|
||||
.. _Intel® IoT Developer Kit: https://github.com/intel-iot-devkit
|
||||
--->
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
## Additional Resources
|
||||
|
||||
- [OpenVINO Installation Selector Tool](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html)
|
||||
@ -10,12 +10,13 @@
|
||||
From PyPI <openvino_docs_install_guides_installing_openvino_pip>
|
||||
Using HomeBrew <openvino_docs_install_guides_installing_openvino_brew>
|
||||
|
||||
@endsphinxdirective
|
||||
If you want to install OpenVINO™ Runtime on macOS, there are a few ways to accomplish this. We prepared following options for you:
|
||||
|
||||
If you want to install OpenVINO™ Runtime on macOS, there are a few ways to accomplish this. We prepared following options for you:
|
||||
* :doc:`Install OpenVINO Runtime from an Archive File <openvino_docs_install_guides_installing_openvino_from_archive_macos>`
|
||||
* :doc:`Install OpenVINO Runtime via HomeBrew <openvino_docs_install_guides_installing_openvino_brew>`
|
||||
* :doc:`Install OpenVINO from PyPI <openvino_docs_install_guides_installing_openvino_pip>`
|
||||
|
||||
* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-macos.md)
|
||||
* [Install OpenVINO Runtime via HomeBrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
|
||||
For a full selection of distribution channels,
|
||||
see the `OpenVINO Installation Selector Tool <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html>`__
|
||||
|
||||
For a full selection of distribution channels, see the [OpenVINO Installation Selector Tool](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html)
|
||||
@endsphinxdirective
|
||||
@ -1,12 +1,16 @@
|
||||
# Install OpenVINO™ Runtime for macOS from Installer
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
Currently only the following ways are provided to install OpenVINO™:
|
||||
|
||||
* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-macos.md)
|
||||
* [Install OpenVINO Runtime via HomeBrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
|
||||
* [Build From Source](https://github.com/openvinotoolkit/openvino/blob/master/docs/dev/build.md)
|
||||
* :doc:`Install OpenVINO Runtime from an Archive File <openvino_docs_install_guides_installing_openvino_from_archive_macos>`
|
||||
* :doc:`Install OpenVINO Runtime via HomeBrew <openvino_docs_install_guides_installing_openvino_brew>`
|
||||
* :doc:`Install OpenVINO from PyPI <openvino_docs_install_guides_installing_openvino_pip>`
|
||||
* `Build From Source <https://github.com/openvinotoolkit/openvino/blob/master/docs/dev/build.md>`__
|
||||
|
||||
The other installation methods are temporarily unavailable.
|
||||
|
||||
For a full selection of distribution channels, see the [OpenVINO Installation Selector Tool](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html)
|
||||
|
||||
@endsphinxdirective
|
||||
@ -8,12 +8,8 @@
|
||||
* These steps have been validated with Raspberry Pi 3.
|
||||
* There is also an open-source version of OpenVINO™ that can be compiled for arch64 (see `build instructions <https://github.com/openvinotoolkit/openvino/blob/master/docs/dev/build_raspbian.md>`_).
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## Development and Target Systems
|
||||
|
||||
@sphinxdirective
|
||||
Development and Target Systems
|
||||
###############################
|
||||
|
||||
.. tab:: System Requirements
|
||||
|
||||
@ -28,12 +24,8 @@
|
||||
|
||||
.. _install-openvino:
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## Step 1: Download and Install OpenVINO Runtime
|
||||
|
||||
@sphinxdirective
|
||||
Step 1: Download and Install OpenVINO Runtime
|
||||
#############################################
|
||||
|
||||
#. Open the Terminal or your preferred console application.
|
||||
#. Create an installation folder for OpenVINO. If the folder already exists, skip this step.
|
||||
@ -99,12 +91,8 @@ Congratulations, you finished the installation! The ``/opt/intel/openvino_2022``
|
||||
|
||||
.. _install-external-dependencies:
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## Step 2: Install External Software Dependencies
|
||||
|
||||
@sphinxdirective
|
||||
Step 2: Install External Software Dependencies
|
||||
##############################################
|
||||
|
||||
CMake version 3.10 or higher is required for building the OpenVINO™ toolkit sample application. To install, open a Terminal window and run the following command:
|
||||
|
||||
@ -117,12 +105,8 @@ CMake is installed. Continue to the next section to set the environment variable
|
||||
|
||||
.. _set-the-environment-variables-raspbian:
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## Step 3: Set the Environment Variables
|
||||
|
||||
@sphinxdirective
|
||||
Step 3: Set the Environment Variables
|
||||
#####################################
|
||||
|
||||
You must update several environment variables before you can compile and run OpenVINO applications. Open a terminal window and run the ``setupvars.sh`` script as shown below to temporarily set your environment variables. If your <INSTALL_DIR> is not ``/opt/intel/openvino_2022``, use the correct one instead.
|
||||
|
||||
@ -141,12 +125,8 @@ The environment variables are set. Continue to the next section if you want to d
|
||||
|
||||
.. _model-optimizer:
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## Step 4 (Optional): Install Additional Components
|
||||
|
||||
@sphinxdirective
|
||||
Step 4 (Optional): Install Additional Components
|
||||
################################################
|
||||
|
||||
If you want to use your model for inference, the model must be converted to the ``.bin`` and ``.xml`` Intermediate Representation (IR) files that are used as input by OpenVINO Runtime. To get the optimized models, you can use one of the following options:
|
||||
|
||||
@ -158,16 +138,11 @@ If you want to use your model for inference, the model must be converted to the
|
||||
|
||||
* 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. See the :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` page for step-by-step installation instructions.
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## What's Next?
|
||||
|
||||
@sphinxdirective
|
||||
What's Next?
|
||||
####################
|
||||
|
||||
Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.
|
||||
|
||||
|
||||
.. tab:: Get started with Python
|
||||
|
||||
Try the `Python Quick Start Example <https://docs.openvino.ai/nightly/notebooks/201-vision-monodepth-with-output.html>`_ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
|
||||
@ -181,6 +156,7 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine
|
||||
* `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/nightly/notebooks/001-hello-world-with-output.html>`_
|
||||
* `Convert a PyTorch model and use it for image background removal <https://docs.openvino.ai/nightly/notebooks/205-vision-background-removal-with-output.html>`_
|
||||
|
||||
|
||||
.. tab:: Get started with C++
|
||||
|
||||
Try the `C++ Quick Start Example <openvino_docs_get_started_get_started_demos.html>`_ for step-by-step instructions on building and running a basic image classification C++ application.
|
||||
@ -193,24 +169,17 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine
|
||||
* `Basic object detection with the Hello Reshape SSD C++ sample <openvino_inference_engine_samples_hello_reshape_ssd_README.html>`_
|
||||
* `Automatic speech recognition C++ sample <openvino_inference_engine_samples_speech_sample_README.html>`_
|
||||
|
||||
|
||||
To uninstall the toolkit, follow the steps on the :doc:`Uninstalling page <openvino_docs_install_guides_uninstalling_openvino>`.
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
## Additional Resources
|
||||
|
||||
@sphinxdirective
|
||||
Additional Resources
|
||||
####################
|
||||
|
||||
* :ref:`Troubleshooting Guide for OpenVINO Installation & Configuration <troubleshooting guide for install>`
|
||||
* Converting models for use with OpenVINO™: :ref:`Model Optimizer User Guide <deep learning model optimizer>`
|
||||
* Writing your own OpenVINO™ applications: :ref:`OpenVINO™ Runtime User Guide <deep learning openvino runtime>`
|
||||
* Sample applications: :ref:`OpenVINO™ Toolkit Samples Overview <code samples>`
|
||||
* Pre-trained deep learning models: :ref:`Overview of OpenVINO™ Toolkit Pre-Trained Models <model zoo>`
|
||||
* IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit`_
|
||||
* IoT libraries and code samples in the GitHUB repository: `Intel® IoT Developer Kit <https://github.com/intel-iot-devkit>`__
|
||||
* :ref:`OpenVINO Installation Selector Tool <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html>`
|
||||
|
||||
.. _Intel® IoT Developer Kit: https://github.com/intel-iot-devkit
|
||||
|
||||
@endsphinxdirective
|
||||
@endsphinxdirective
|
||||
|
||||
Loading…
Reference in New Issue
Block a user