OpenVINO 2022.1 introduces a new version of OpenVINO API (API 2.0). For more information on the changes and transition steps, see the transition guide
+OpenVINO 2022.1 has introduced OpenVINO API 2.0. For more information on transition steps from the previous API, see the transition guide
diff --git a/docs/install_guides/configurations-for-ivad-vpu.md b/docs/install_guides/configurations-for-ivad-vpu.md index 48349737b93..b67220e59f0 100644 --- a/docs/install_guides/configurations-for-ivad-vpu.md +++ b/docs/install_guides/configurations-for-ivad-vpu.md @@ -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 diff --git a/docs/install_guides/installing-openvino-overview.md b/docs/install_guides/installing-openvino-overview.md index 2711e9a49fd..3728c9c517d 100644 --- a/docs/install_guides/installing-openvino-overview.md +++ b/docs/install_guides/installing-openvino-overview.md @@ -13,7 +13,7 @@ @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 diff --git a/docs/install_guides/installing-openvino-pip.md b/docs/install_guides/installing-openvino-pip.md index 3dc0306bcfa..504a76facd8 100644 --- a/docs/install_guides/installing-openvino-pip.md +++ b/docs/install_guides/installing-openvino-pip.md @@ -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