* reintroducing apt and yum * fix indents and create tabs fixing indent in apt creating tabs in yum article * Update installing-openvino-yum.md * tabbed content Inserting installation steps into tabs. Correcting formatting. * correcting indents * correct indent * indent fix * Update docs/install_guides/installing-model-dev-tools.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * removing non-cpu dev Removing GNA, NCS2, VPU from Step 5 in YUM article. Correcting links to Python. * add apt and yum for installation * revising openvino-dev installation * removing opencv from apt * remove opencv from yum * removing non-cpu devs * Update installing-model-dev-tools.md * update disclaimer * openvino development tools correcting the name * build samples sections * add architecture * remove install details yum * remove install details apt * reflink fix * removing ncs2 * add dependencies * install parametere * move note * Update installing-model-dev-tools.md * Update installing-openvino-apt.md * Update installing-openvino-yum.md * Update docs/install_guides/installing-openvino-apt.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * Update docs/install_guides/installing-openvino-apt.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * Update docs/install_guides/installing-openvino-yum.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * Update docs/install_guides/installing-model-dev-tools.md * Update installing-openvino-apt.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
This commit is contained in:
Sebastian Golebiewski
GitHub
parent
347e844153
commit
3e0ea0ac93
@ -18,6 +18,7 @@ Once the prerequisites have been installed, perform the following steps:
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To use sample applications, install OpenVINO Runtime via one of the following distribution channels (other distributions do not include sample files):
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* Archive files (recommended) - [Linux](@ref openvino_docs_install_guides_installing_openvino_from_archive_linux) | [Windows](@ref openvino_docs_install_guides_installing_openvino_from_archive_windows) | [macOS](@ref openvino_docs_install_guides_installing_openvino_from_archive_macos)
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* [APT](@ref openvino_docs_install_guides_installing_openvino_apt) or [YUM](@ref openvino_docs_install_guides_installing_openvino_yum) for Linux
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* Docker image - [Linux](@ref openvino_docs_install_guides_installing_openvino_docker_linux) | [Windows](@ref openvino_docs_install_guides_installing_openvino_docker_windows)
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* [Build from source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
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@ -10,7 +10,7 @@ OpenVINO Development Tools is a set of utilities that make it easy to develop an
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The instructions on this page show how to install OpenVINO Development Tools. If you are a Python developer, it only takes a few simple steps to install the tools with PyPI. If you are developing in C++, OpenVINO Runtime must be installed separately before installing OpenVINO Development Tools.
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In both cases, Python 3.6 - 3.10 need be installed on your machine before starting.
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In both cases, Python 3.7 - 3.10 needs to be installed on your machine before starting.
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> **NOTE**: From the 2022.1 release, the OpenVINO™ Development Tools can only be installed via PyPI.
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@ -57,19 +57,19 @@ Activate the newly created Python virtual environment by issuing this command:
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.. tab:: Linux and macOS
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.. code-block:: sh
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source openvino_env/bin/activate
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.. tab:: Windows
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.. code-block:: sh
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openvino_env\Scripts\activate
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.. important::
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The above command must be re-run every time a new command terminal window is opened.
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The above command must be re-run every time a new command terminal window is opened.
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@endsphinxdirective
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@ -91,65 +91,75 @@ Note that the commands are different for a Python installation and a C++ install
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.. tab:: Python
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To install and configure the components of the development package for working with specific frameworks, use the following command:
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To install OpenVINO Development Tools into the existing environment with the deep learning framework of your choice, run the following command:
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.. code-block:: sh
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pip install openvino-dev[extras]
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where the `extras` parameter specifies one or more deep learning frameworks via these values: `caffe`, `kaldi`, `mxnet`, `onnx`, `pytorch`, `tensorflow`, `tensorflow2`. Make sure that you install the corresponding frameworks for your models.
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For example, to install and configure the components for working with TensorFlow 2.x and ONNX, use the following command:
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pip install openvino-dev
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In case that you encounter any compatibility issues between OpenVINO and your deep learning framework, you may install OpenVINO Development Tools into a separate environment. Use the following command to get specific validated versions of your framework:
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.. code-block:: sh
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pip install openvino-dev[extras]
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where the `extras` parameter specifies one or more deep learning frameworks via these values: `caffe`, `kaldi`, `mxnet`, `onnx`, `pytorch`, `tensorflow`, `tensorflow2`. Make sure that you install the corresponding frameworks for your models.
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For example, to install and configure the components for working with TensorFlow 2.x and ONNX, use the following command:
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.. code-block:: sh
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pip install openvino-dev[tensorflow2,onnx]
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.. note::
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Model Optimizer support for TensorFlow 1.x environment has been deprecated. Use the `tensorflow2` parameter to install a TensorFlow 2.x environment that can convert both TensorFlow 1.x and 2.x models. If your model isn't compatible with the TensorFlow 2.x environment, use the `tensorflow` parameter to install the TensorFlow 1.x environment. The TF 1.x environment is provided only for legacy compatibility reasons.
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.. tab:: C++
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When using OpenVINO Development Tools for C++ development, it’s important to install the same version as OpenVINO Runtime. Following the instructions below will ensure that you are installing a version that matches that of OpenVINO Runtime.
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**Recommended: Install Using the Requirements Files**
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After you have installed OpenVINO Runtime from an archive file, you can find a set of requirements files in the <INSTALL_DIR>\tools\ directory. The requirements files will install the matching version of OpenVINO Development Tools and its dependencies.
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1. Install the OpenVINO Development Tools mandatory requirements using the following command:
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When using OpenVINO Development Tools for C++ development, it’s important to install the same version as OpenVINO Runtime. Following the instructions below will ensure that you are installing a version that matches that of OpenVINO Runtime.
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**Recommended: Install Using the Requirements Files**
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After you have installed OpenVINO Runtime from an archive file, you can find a set of requirements files in the <INSTALL_DIR>\tools\ directory. The requirements files will install the matching version of OpenVINO Development Tools and its dependencies.
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1. Install the OpenVINO Development Tools mandatory requirements using the following command:
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.. code-block:: sh
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pip install -r <INSTALL_DIR>\tools\requirements.txt
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2. If you are using additional frameworks, you must also install the requirements for those frameworks using the corresponding requirements file. For example, if you are using a TensorFlow model, use the following command to install requirements for TensorFlow:
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.. code-block:: sh
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pip install -r <INSTALL_DIR>\tools\requirements_tensorflow2.txt
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**Alternative: Install the openvino-dev Package from PyPI**
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You can also install OpenVINO Development Tools from PyPI using the following command.
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.. important::
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Make sure that the `openvino-dev` version you specified matches your installed version of OpenVINO Runtime. Otherwise, compatibility errors are likely to occur.
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.. code-block:: sh
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pip install -r <INSTALL_DIR>\tools\requirements.txt
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2. If you are using additional frameworks, you must also install the requirements for those frameworks using the corresponding requirements file. For example, if you are using a TensorFlow model, use the following command to install requirements for TensorFlow:
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pip install openvino-dev[EXTRAS]==2022.3.0
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where the EXTRAS parameter specifies one or more deep learning frameworks via these values: caffe, kaldi, mxnet, onnx, pytorch, tensorflow, tensorflow2. Make sure that you install the corresponding frameworks for your models. For example:
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.. code-block:: sh
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pip install -r <INSTALL_DIR>\tools\requirements_tensorflow2.txt
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**Alternative: Install the openvino-dev Package from PyPI**
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You can also install OpenVINO Development Tools from PyPI using the following command.
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.. important::
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Make sure to specify the `openvino-dev` version that matches your installed version of OpenVINO Runtime. Otherwise, compatibility errors are likely to occur.
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.. code-block:: sh
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pip install openvino-dev[EXTRAS]==2022.2
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where the EXTRAS parameter specifies one or more deep learning frameworks via these values: caffe, kaldi, mxnet, onnx, pytorch, tensorflow, tensorflow2. Make sure that you install the corresponding frameworks for your models. For example:
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.. code-block:: sh
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pip install openvino-dev[tensorflow2,onnx]==2022.2
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pip install openvino-dev[tensorflow2,onnx]==2022.3.0
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.. note::
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Model Optimizer support for TensorFlow 1.x environment has been deprecated. Use the `tensorflow2` parameter or to install a TensorFlow 2.x environment that can convert both TensorFlow 1.x and 2.x models. If your model isn't compatible with the TensorFlow 2.x environment, use the `tensorflow` parameter to install the TensorFlow 1.x environment. The TF 1.x environment is provided only for legacy compatibility reasons.
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@endsphinxdirective
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For more details on the openvino-dev PyPI package, see https://pypi.org/project/openvino-dev/.
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### Step 4. Test the Installation
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@ -170,12 +180,12 @@ Learn more about OpenVINO and use it in your own application by trying out some
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### Get started with Python
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<img src="https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif" width=400>
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Try the [Python Quick Start Example](https://docs.openvino.ai/2022.2/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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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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Visit the [Tutorials](../tutorials.md) 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/2022.2/notebooks/002-openvino-api-with-output.html)
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* [Basic image classification program with Hello Image Classification](https://docs.openvino.ai/2022.2/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/2022.2/notebooks/205-vision-background-removal-with-output.html)
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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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### Get started with C++
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<img src="https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg" width=400>
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@ -1,10 +1,224 @@
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# Install OpenVINO™ Runtime for Linux Using APT Repository
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# Install Intel® Distribution of OpenVINO™ Toolkit for Linux Using APT Repository {#openvino_docs_install_guides_installing_openvino_apt}
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Currently only the following ways are provided to install OpenVINO™:
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This guide provides detailed steps for installing OpenVINO™ Runtime through the APT repository and guidelines for installing OpenVINO Development Tools.
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* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md)
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* [Install OpenVINO from PyPI](installing-openvino-pip.md)
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* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
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* [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
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> **NOTE**: From the 2022.1 release, OpenVINO™ Development Tools can be installed via PyPI only. See [Install OpenVINO Development Tools](#installing-openvino-development-tools) for more information.
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The other installation methods are temporarily unavailable.
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> **IMPORTANT**: 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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## System Requirements
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@sphinxdirective
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.. tab:: Operating Systems
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* Ubuntu 18.04 long-term support (LTS) x86, 64-bit
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* Ubuntu 20.04 long-term support (LTS) x86, 64-bit
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.. tab:: Hardware
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Optimized for these processors:
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* 6th to 12th generation Intel® Core™ processors and Intel® Xeon® processors
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* 3rd generation Intel® Xeon® Scalable processor (formerly code named Cooper Lake)
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* Intel® Xeon® Scalable processor (formerly Skylake and Cascade Lake)
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* Intel Atom® processor with support for Intel® Streaming SIMD Extensions 4.1 (Intel® SSE4.1)
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* Intel Pentium® processor N4200/5, N3350/5, or N3450/5 with Intel® HD Graphics
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* Intel® Iris® Xe MAX Graphics
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.. tab:: Processor Notes
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Processor graphics are not included in all processors.
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See `Product Specifications`_ for information about your processor.
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.. _Product Specifications: https://ark.intel.com/
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.. tab:: Software
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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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### Step 1: Set Up the OpenVINO Toolkit APT Repository
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1. Install the GPG key for the repository
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a. Download the [GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB](https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB).
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You can also use the following command:
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```sh
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wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
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```
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b. Add this key to the system keyring:
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```sh
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sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
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```
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> **NOTE**: You might need to install GnuPG: `sudo apt-get install gnupg`
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2. Add the repository via the following command:
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@sphinxdirective
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.. tab:: Ubuntu 18
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.. code-block:: sh
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echo "deb https://apt.repos.intel.com/openvino/2022 bionic main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2022.list
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.. tab:: Ubuntu 20
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.. code-block:: sh
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echo "deb https://apt.repos.intel.com/openvino/2022 focal main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2022.list
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@endsphinxdirective
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3. Update the list of packages via the update command:
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```sh
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sudo apt update
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```
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4. Verify that the APT repository is properly set up. Run the apt-cache command to see a list of all available OpenVINO packages and components:
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```sh
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apt-cache search openvino
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```
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|
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|
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### Step 2: Install OpenVINO Runtime Using the APT Package Manager
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#### Install OpenVINO Runtime
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@sphinxdirective
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.. tab:: The Latest Version
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Run the following command:
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.. code-block:: sh
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sudo apt install openvino
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.. tab:: A Specific Version
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1. Get a list of OpenVINO packages available for installation:
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.. code-block:: sh
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sudo apt-cache search openvino
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2. Install a specific version of an OpenVINO package:
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.. code-block:: sh
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sudo apt install openvino-<VERSION>.<UPDATE>.<PATCH>
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|
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For example:
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|
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.. code-block:: sh
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|
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sudo apt install openvino-2022.3.0
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|
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.. note::
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|
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You can use `--no-install-recommends` option to install only required packages. Keep in mind that the build tools must be installed **separately** if you want to compile the samples.
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|
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@endsphinxdirective
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|
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#### Check for Installed Packages and Versions
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Run the following command:
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```sh
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apt list --installed | grep openvino
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```
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|
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#### Uninstall OpenVINO Runtime
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|
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@sphinxdirective
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.. tab:: The Latest Version
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Run the following command:
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.. code-block:: sh
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sudo apt autoremove openvino
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.. tab:: A Specific Version
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|
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Run the following command:
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|
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.. code-block:: sh
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|
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sudo apt autoremove openvino-<VERSION>.<UPDATE>.<PATCH>
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|
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For example:
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|
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.. code-block:: sh
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|
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sudo apt autoremove openvino-2022.3.0
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|
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@endsphinxdirective
|
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|
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### Step 3 (Optional): Install Software Dependencies
|
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|
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After you have installed OpenVINO Runtime, if you decided to [install OpenVINO Model Development Tools](installing-model-dev-tools.md), make sure that you install external software dependencies first.
|
||||
|
||||
Refer to <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> for detailed steps.
|
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|
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### Step 4 (Optional): Configure Inference on Non-CPU Devices
|
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|
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To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in [GPU Setup Guide](@ref openvino_docs_install_guides_configurations_for_intel_gpu).
|
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|
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### Step 5: Build Samples
|
||||
|
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To build the C++ or C sample applications for Linux, run the `build_samples.sh` script:
|
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|
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@sphinxdirective
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|
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.. tab:: C++
|
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|
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.. code-block:: sh
|
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|
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/usr/share/openvino/samples/cpp/build_samples.sh
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|
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.. tab:: C
|
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|
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.. code-block:: sh
|
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|
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/usr/share/openvino/samples/c/build_samples.sh
|
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|
||||
@endsphinxdirective
|
||||
|
||||
For more information, refer to <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build the Sample Applications on Linux</a>.
|
||||
|
||||
## Installing OpenVINO Development Tools
|
||||
|
||||
> **NOTE**: From the 2022.1 release, the OpenVINO™ Development Tools can be installed via PyPI only.
|
||||
|
||||
To install OpenVINO Development Tools, do the following steps:
|
||||
1. [Install OpenVINO Runtime](#installing-openvino-runtime) if you haven't done it yet.
|
||||
2. <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a>.
|
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3. See the **For C++ Developers** section in [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps.
|
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|
||||
## What's Next?
|
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|
||||
Now you may continue with the following tasks:
|
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|
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* To convert models for use with OpenVINO, see [Model Optimizer Developer Guide](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
|
||||
* See pre-trained deep learning models in our [Open Model Zoo](../model_zoo.md).
|
||||
* Try out OpenVINO via [OpenVINO Notebooks](https://docs.openvino.ai/nightly/notebooks/notebooks.html).
|
||||
* To write your own OpenVINO™ applications, see [OpenVINO Runtime User Guide](../OV_Runtime_UG/openvino_intro.md).
|
||||
* See sample applications in [OpenVINO™ Toolkit Samples Overview](../OV_Runtime_UG/Samples_Overview.md).
|
||||
|
||||
## Additional Resources
|
||||
|
||||
- Intel® Distribution of OpenVINO™ toolkit home page: <https://software.intel.com/en-us/openvino-toolkit>.
|
||||
- For IoT Libraries & Code Samples see the [Intel® IoT Developer Kit](https://github.com/intel-iot-devkit).
|
||||
@ -8,6 +8,8 @@
|
||||
|
||||
From Archive <openvino_docs_install_guides_installing_openvino_from_archive_linux>
|
||||
From PyPI <openvino_docs_install_guides_installing_openvino_pip>
|
||||
From APT <openvino_docs_install_guides_installing_openvino_apt>
|
||||
From YUM <openvino_docs_install_guides_installing_openvino_yum>
|
||||
Using Docker <openvino_docs_install_guides_installing_openvino_docker_linux>
|
||||
|
||||
@endsphinxdirective
|
||||
@ -16,5 +18,7 @@ If you want to install OpenVINO™ Runtime on your Linux machine, there are a fe
|
||||
|
||||
* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md)
|
||||
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
|
||||
* [Install OpenVINO Runtime from APT](installing-openvino-apt.md)
|
||||
* [Install OpenVINO Runtime from YUM](installing-openvino-yum.md)
|
||||
* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
|
||||
|
||||
|
||||
@ -50,7 +50,7 @@ OpenVINO Runtime may also be installed on its own without OpenVINO Development T
|
||||
|
||||
The following methods are available to install OpenVINO Runtime:
|
||||
|
||||
* Linux: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on Linux](installing-openvino-linux-header.md).
|
||||
* Linux: You can install OpenVINO Runtime using APT, YUM, archive files or Docker. See [Install OpenVINO on Linux](installing-openvino-linux-header.md).
|
||||
* Windows: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on Windows](installing-openvino-windows-header.md).
|
||||
* macOS: You can install OpenVINO Runtime using archive files or Docker. See [Install OpenVINO on macOS](installing-openvino-macos-header.md).
|
||||
* [Raspbian OS](installing-openvino-raspbian.md)
|
||||
|
||||
@ -1,10 +1,198 @@
|
||||
# Install OpenVINO™ Runtime on Linux Using YUM Repository
|
||||
# Install OpenVINO™ Runtime on Linux Using YUM Repository {#openvino_docs_install_guides_installing_openvino_yum}
|
||||
|
||||
Currently only the following ways are provided to install OpenVINO™:
|
||||
This guide provides installation steps for OpenVINO™ Runtime for Linux distributed through the YUM repository.
|
||||
|
||||
* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-linux.md)
|
||||
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
|
||||
* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
|
||||
* [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
|
||||
> **NOTE**: From the 2022.1 release, the OpenVINO™ Development Tools can only be installed via PyPI. If you want to develop or optimize your models with OpenVINO, see [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps.
|
||||
|
||||
The other installation methods are temporarily unavailable.
|
||||
> **IMPORTANT**: 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).
|
||||
|
||||
## System Requirements
|
||||
|
||||
@sphinxdirective
|
||||
.. tab:: Operating Systems
|
||||
|
||||
* Red Hat Enterprise Linux 8 x86, 64-bit
|
||||
|
||||
.. tab:: Hardware
|
||||
|
||||
Optimized for these processors:
|
||||
|
||||
* 6th to 12th generation Intel® Core™ processors and Intel® Xeon® processors
|
||||
* 3rd generation Intel® Xeon® Scalable processor (formerly code named Cooper Lake)
|
||||
* Intel® Xeon® Scalable processor (formerly Skylake and Cascade Lake)
|
||||
* Intel Atom® processor with support for Intel® Streaming SIMD Extensions 4.1 (Intel® SSE4.1)
|
||||
* Intel Pentium® processor N4200/5, N3350/5, or N3450/5 with Intel® HD Graphics
|
||||
* Intel® Iris® Xe MAX Graphics
|
||||
|
||||
.. tab:: Processor Notes
|
||||
|
||||
Processor graphics are not included in all processors.
|
||||
See `Product Specifications`_ for information about your processor.
|
||||
|
||||
.. _Product Specifications: https://ark.intel.com/
|
||||
|
||||
.. tab:: Software
|
||||
|
||||
* `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`_
|
||||
* GCC 8.2.0
|
||||
* `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`_
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
## Install OpenVINO Runtime
|
||||
|
||||
### Step 1: Set Up the Repository
|
||||
|
||||
1. Create the YUM repo file in the `/tmp` directory as a normal user:
|
||||
```
|
||||
tee > /tmp/openvino-2022.repo << EOF
|
||||
[OpenVINO]
|
||||
name=Intel(R) Distribution of OpenVINO 2022
|
||||
baseurl=https://yum.repos.intel.com/openvino/2022
|
||||
enabled=1
|
||||
gpgcheck=1
|
||||
repo_gpgcheck=1
|
||||
gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
EOF
|
||||
```
|
||||
2. Move the new openvino-2022.repo file to the YUM configuration directory `/etc/yum.repos.d`:
|
||||
```sh
|
||||
sudo mv /tmp/openvino-2022.repo /etc/yum.repos.d
|
||||
```
|
||||
3. Verify that the new repo is properly setup by running the following command:
|
||||
```sh
|
||||
yum repolist | grep -i openvino
|
||||
```
|
||||
You will see the available list of packages.
|
||||
|
||||
|
||||
To list available OpenVINO packages, use the following command:
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
yum list 'openvino*'
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
### Step 2: Install OpenVINO Runtime Using the YUM Package Manager
|
||||
|
||||
#### Install OpenVINO Runtime
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
.. tab:: The Latest Version
|
||||
|
||||
Run the following command:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
sudo yum install openvino
|
||||
|
||||
.. tab:: A Specific Version
|
||||
|
||||
Run the following command:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
sudo yum install openvino-<VERSION>.<UPDATE>.<PATCH>
|
||||
|
||||
For example:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
sudo yum install openvino-2022.3.0
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
#### Check for Installed Packages and Version
|
||||
|
||||
Run the following command:
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
yum list installed 'openvino*'
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
#### Uninstall OpenVINO Runtime
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
.. tab:: The Latest Version
|
||||
|
||||
Run the following command:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
sudo yum autoremove openvino
|
||||
|
||||
|
||||
.. tab:: A Specific Version
|
||||
|
||||
Run the following command:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
sudo yum autoremove openvino-<VERSION>.<UPDATE>.<PATCH>
|
||||
|
||||
For example:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
sudo yum autoremove openvino-2022.3.0
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
|
||||
### Step 3 (Optional): Install Software Dependencies
|
||||
|
||||
After you have installed OpenVINO Runtime, if you decided to [install OpenVINO Model Development Tools](installing-model-dev-tools.md), make sure that you install external software dependencies first.
|
||||
|
||||
Refer to <a href="openvino_docs_install_guides_installing_openvino_linux.html#install-external-dependencies">Install External Software Dependencies</a> for detailed steps.
|
||||
|
||||
### Step 4 (Optional): Configure Inference on Non-CPU Devices
|
||||
|
||||
To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in [GPU Setup Guide](@ref openvino_docs_install_guides_configurations_for_intel_gpu).
|
||||
|
||||
### Step 5: Build Samples
|
||||
|
||||
To build the C++ or C sample applications for Linux, run the `build_samples.sh` script:
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
.. tab:: C++
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
/usr/share/openvino/samples/cpp/build_samples.sh
|
||||
|
||||
.. tab:: C
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
/usr/share/openvino/samples/c/build_samples.sh
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
For more information, refer to <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build the Sample Applications on Linux</a>.
|
||||
|
||||
## What's Next?
|
||||
|
||||
Now you may continue with the following tasks:
|
||||
|
||||
* To convert models for use with OpenVINO, see [Model Optimizer Developer Guide](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
|
||||
* See pre-trained deep learning models in our [Open Model Zoo](../model_zoo.md).
|
||||
* Try out OpenVINO via [OpenVINO Notebooks](https://docs.openvino.ai/nightly/notebooks/notebooks.html).
|
||||
* To write your own OpenVINO™ applications, see [OpenVINO Runtime User Guide](../OV_Runtime_UG/openvino_intro.md).
|
||||
* See sample applications in [OpenVINO™ Samples Overview](../OV_Runtime_UG/Samples_Overview.md).
|
||||
|
||||
## Additional Resources
|
||||
|
||||
- OpenVINO™ home page: <https://software.intel.com/en-us/openvino-toolkit>
|
||||
- For IoT Libraries & Code Samples, see [Intel® IoT Developer Kit](https://github.com/intel-iot-devkit).
|
||||
Loading…
Reference in New Issue
Block a user