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Add CentOS back to install archive page for 22/3 (openvinotoolkit#14625
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xu-yuan1 authored Jan 3, 2023
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46 changes: 26 additions & 20 deletions docs/install_guides/installing-openvino-from-archive-linux.md
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# Install OpenVINO™ Runtime on Linux from an Archive File {#openvino_docs_install_guides_installing_openvino_from_archive_linux}

With the OpenVINO™ 2022.2 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.
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.

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. See the [Install OpenVINO from PyPI](installing-openvino-pip.md) page for instructions on how to install OpenVINO Runtime for Python using PyPI.

Expand All @@ -16,9 +16,7 @@ See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNo
* Ubuntu 18.04 long-term support (LTS) x86, 64-bit
* Ubuntu 20.04 long-term support (LTS) x86, 64-bit
* Red Hat Enterprise Linux 8 x86, 64-bit

.. note::
Since the OpenVINO™ 2022.1 release, CentOS 7.6, 64-bit is no longer supported.
* CentOS 7 x86, 64-bit (Note that `devtoolset-7` or a higher version is required to compile applications with OpenVINO)

.. tab:: Hardware

Expand All @@ -44,7 +42,7 @@ See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNo

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

@endsphinxdirective

Expand All @@ -71,31 +69,39 @@ See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNo

cd <user_home>/Downloads

4. Download the `OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.2/linux/>`_, extract the files, rename the extracted folder and move it to the desired path:
4. Download the `OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/linux/>`_, extract the files, rename the extracted folder and move it to the desired path:

.. tab:: Ubuntu 18.04

.. code-block:: sh

curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.2/linux/l_openvino_toolkit_ubuntu18_2022.2.0.7713.af16ea1d79a_x86_64.tgz --output openvino_2022.2.0.7713.tgz
tar -xf openvino_2022.2.0.7713.tgz
sudo mv l_openvino_toolkit_ubuntu18_2022.2.0.7713.af16ea1d79a_x86_64 /opt/intel/openvino_2022.2.0.7713
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/linux/l_openvino_toolkit_ubuntu18_2022.3.0.9052.9752fafe8eb_x86_64.tgz --output openvino_2022.3.0.tgz
tar -xf openvino_2022.3.0.tgz
sudo mv l_openvino_toolkit_ubuntu18_2022.3.0.9052.9752fafe8eb_x86_64 /opt/intel/openvino_2022.3.0
.. tab:: Ubuntu 20.04

.. code-block:: sh

curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.2/linux/l_openvino_toolkit_ubuntu20_2022.2.0.7713.af16ea1d79a_x86_64.tgz --output openvino_2022.2.0.7713.tgz
tar -xf openvino_2022.2.0.7713.tgz
sudo mv l_openvino_toolkit_ubuntu20_2022.2.0.7713.af16ea1d79a_x86_64 /opt/intel/openvino_2022.2.0.7713
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/linux/l_openvino_toolkit_ubuntu20_2022.3.0.9052.9752fafe8eb_x86_64.tgz --output openvino_2022.3.0.tgz
tar -xf openvino_2022.3.0.tgz
sudo mv l_openvino_toolkit_ubuntu20_2022.3.0.9052.9752fafe8eb_x86_64 /opt/intel/openvino_2022.3.0
.. tab:: RHEL 8

.. code-block:: sh

curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.2/linux/l_openvino_toolkit_rhel8_2022.2.0.7713.af16ea1d79a_x86_64.tgz --output openvino_2022.2.0.7713.tgz
tar -xf openvino_2022.2.0.7713.tgz
sudo mv l_openvino_toolkit_rhel8_2022.2.0.7713.af16ea1d79a_x86_64 /opt/intel/openvino_2022.2.0.7713
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/linux/l_openvino_toolkit_rhel8_2022.3.0.9052.9752fafe8eb_x86_64.tgz --output openvino_2022.3.0.tgz
tar -xf openvino_2022.3.0.tgz
sudo mv l_openvino_toolkit_rhel8_2022.3.0.9052.9752fafe8eb_x86_64 /opt/intel/openvino_2022.3.0

.. tab:: CentOS 7

.. code-block:: sh

curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2022.3/linux/l_openvino_toolkit_centos7_2022.3.0.9052.9752fafe8eb_x86_64.tgz --output openvino_2022.3.0.tgz
tar -xf openvino_2022.3.0.tgz
sudo mv l_openvino_toolkit_centos7_2022.3.0.9052.9752fafe8eb_x86_64 /opt/intel/openvino_2022.3.0

5. Install required system dependencies on Linux. To do this, OpenVINO provides a script in the extracted installation directory. Run the following command:

Expand All @@ -107,7 +113,7 @@ See the [Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNo

.. code-block:: sh

sudo ln -s openvino_2022.2.0.7713 openvino_2022
sudo ln -s openvino_2022.3.0 openvino_2022

.. note::
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.
Expand Down Expand Up @@ -170,16 +176,16 @@ Now that you've installed OpenVINO Runtime, you're ready to run your own machine
@sphinxdirective
.. tab:: Get started with Python

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.
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.

.. image:: https://user-images.githubusercontent.com/15709723/127752390-f6aa371f-31b5-4846-84b9-18dd4f662406.gif
:width: 400

Visit the :ref:`Tutorials <notebook tutorials>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:

* `OpenVINO Python API Tutorial <https://docs.openvino.ai/2022.2/notebooks/002-openvino-api-with-output.html>`_
* `Basic image classification program with Hello Image Classification <https://docs.openvino.ai/2022.2/notebooks/001-hello-world-with-output.html>`_
* `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>`_
* `OpenVINO Python API Tutorial <https://docs.openvino.ai/nightly/notebooks/002-openvino-api-with-output.html>`_
* `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++

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