[DOCS] minor fix for content and config 22.3 (#16530)

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Karol Blaszczak 2023-03-24 14:33:29 +01:00 committed by GitHub
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{% block docs_navbar %}
{{ super() }}
<div id="info-banner" class="transition-banner">
<p>OpenVINO 2022.1 introduces a new version of OpenVINO API (API 2.0). For more information on the changes and transition steps, see the <a href="https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html">transition guide</a></p>
<p>OpenVINO 2022.1 has introduced OpenVINO API 2.0. For more information on transition steps from the previous API, see the <a href="https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html">transition guide</a></p>
<button type="button" class="close-banner" onclick="closeTransitionBanner()">
<span aria-hidden="true">&times;</span>
</button>

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@ -21,7 +21,7 @@ For troubleshooting issues, please see the [Troubleshooting Guide](troubleshooti
For Intel® Vision Accelerator Design with Intel® Movidius™ VPUs, the following additional installation steps are required.
> **NOTE**: If you installed OpenVINO™ Runtime to the non-default install directory, replace `/opt/intel` with the directory in which you installed the software.
> **NOTE**: If you have installed OpenVINO™ Runtime to the non-default install directory, replace `/opt/intel` with the proper path.
1. Set the environment variables:
```sh

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@endsphinxdirective
Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for developing applications and solutions based on deep learning tasks, such as computer vision, automatic speech recognition, natural language processing, recommendation systems, and more. It provides high-performance and rich deployment options, from edge to cloud. Some of its advantages are:
Intel® Distribution of OpenVINO™ Toolkit is a comprehensive toolkit for developing applications and solutions based on deep learning tasks, such as computer vision, automatic speech recognition, natural language processing, recommendation systems, and more. It provides high-performance and rich deployment options, from edge to cloud. Some of its advantages are:
* Enables CNN-based and transformer-based deep learning inference on the edge or cloud.
* Supports various execution modes across Intel® technologies: Intel® CPU, Intel® Integrated Graphics, Intel® Discrete Graphics, Intel® Neural Compute Stick 2, and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs.
@ -33,10 +33,11 @@ Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for devel
@endsphinxdirective
OpenVINO installation package is distributed in two parts: OpenVINO Runtime and OpenVINO Development Tools.
OpenVINO installation package is distributed as two options: OpenVINO Runtime and OpenVINO Development Tools.
* **OpenVINO Runtime** contains the core set of libraries for running machine learning model inference on processor devices.
* **OpenVINO Development Tools** is a set of utilities for working with OpenVINO and OpenVINO models. It includes the following tools:
- OpenVINO Runtime
- Model Optimizer
- Post-Training Optimization Tool
- Benchmark Tool

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@ -6,7 +6,9 @@ You can install both OpenVINO™ Runtime and OpenVINO Development Tools through
.. note:
From the 2022.1 release, the OpenVINO™ Development Tools can only be installed via PyPI. See :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` for detailed steps.
* If you install OpenVINO Development Tools, OpenVINO Runtime will also be installed as a dependency, so you don't need to install it separately.
* The PyPI distribution does not include support for VPU, VAD, and HDDL. For information on how to use these devices,
see :doc:`Additional Configurations For Hardware <openvino_docs_install_guides_configurations_header>`
Installing OpenVINO Runtime

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@ -32,7 +32,7 @@ six==1.15.0
snowballstemmer==2.1.0
soupsieve==2.2.1
sphinx==4.5.0
sphinx-copybutton==0.3.3
sphinx-copybutton==0.5.1
sphinx-design==0.3.0
sphinx-inline-tabs==2021.8.17b10
sphinx-panels==0.6.0