[DOCS] minor fix for content and config 22.3 (#16530)
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@ -18,7 +18,7 @@
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{% block docs_navbar %}
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{{ super() }}
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<div id="info-banner" class="transition-banner">
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<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>
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<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>
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<button type="button" class="close-banner" onclick="closeTransitionBanner()">
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<span aria-hidden="true">×</span>
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</button>
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@ -21,7 +21,7 @@ For troubleshooting issues, please see the [Troubleshooting Guide](troubleshooti
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For Intel® Vision Accelerator Design with Intel® Movidius™ VPUs, the following additional installation steps are required.
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> **NOTE**: If you installed OpenVINO™ Runtime to the non-default install directory, replace `/opt/intel` with the directory in which you installed the software.
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> **NOTE**: If you have installed OpenVINO™ Runtime to the non-default install directory, replace `/opt/intel` with the proper path.
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1. Set the environment variables:
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```sh
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@ -13,7 +13,7 @@
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@endsphinxdirective
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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:
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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:
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* Enables CNN-based and transformer-based deep learning inference on the edge or cloud.
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* 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.
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@ -33,10 +33,11 @@ Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for devel
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@endsphinxdirective
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OpenVINO installation package is distributed in two parts: OpenVINO Runtime and OpenVINO Development Tools.
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OpenVINO installation package is distributed as two options: OpenVINO Runtime and OpenVINO Development Tools.
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* **OpenVINO Runtime** contains the core set of libraries for running machine learning model inference on processor devices.
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* **OpenVINO Development Tools** is a set of utilities for working with OpenVINO and OpenVINO models. It includes the following tools:
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- OpenVINO Runtime
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- Model Optimizer
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- Post-Training Optimization Tool
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- Benchmark Tool
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@ -6,7 +6,9 @@ You can install both OpenVINO™ Runtime and OpenVINO Development Tools through
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.. note:
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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.
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* If you install OpenVINO Development Tools, OpenVINO Runtime will also be installed as a dependency, so you don't need to install it separately.
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* The PyPI distribution does not include support for VPU, VAD, and HDDL. For information on how to use these devices,
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see :doc:`Additional Configurations For Hardware <openvino_docs_install_guides_configurations_header>`
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Installing OpenVINO Runtime
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@ -32,7 +32,7 @@ six==1.15.0
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snowballstemmer==2.1.0
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soupsieve==2.2.1
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sphinx==4.5.0
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sphinx-copybutton==0.3.3
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sphinx-copybutton==0.5.1
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sphinx-design==0.3.0
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sphinx-inline-tabs==2021.8.17b10
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sphinx-panels==0.6.0
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