From 8b591c141ebe08e72389ecb52c6200dc8027ce6f Mon Sep 17 00:00:00 2001 From: Karol Blaszczak Date: Mon, 28 Mar 2022 17:15:32 +0200 Subject: [PATCH] Update installing-openvino-overview.md (#11271) --- .../installing-openvino-overview.md | 24 +++++++++---------- 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/docs/install_guides/installing-openvino-overview.md b/docs/install_guides/installing-openvino-overview.md index 6edfaf528df..045fbbc1a8f 100644 --- a/docs/install_guides/installing-openvino-overview.md +++ b/docs/install_guides/installing-openvino-overview.md @@ -1,20 +1,19 @@ # Overview {#openvino_docs_install_guides_overview} -Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that solve a variety of tasks including emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, and many others. It accelerates applications with high-performance, AI and deep learning inference deployed from edge to cloud by: +Intel® Distribution of OpenVINO™ toolkit is a comprehensive toolkit for developing applications and solutions based on deep learning tasks, such as: emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, etc. It provides high-performance and rich deployment options, from edge to cloud. Some of its advantages are: * Enabling CNN-based deep learning inference on the edge. -* Supporting heterogeneous execution across Intel® CPU, Intel® Integrated Graphics, Intel® Neural Compute Stick 2, and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs. +* Supporting various execution modes across Intel® technologies: Intel® CPU, Intel® Integrated Graphics, Intel® Neural Compute Stick 2, and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs. * Speeding time-to-market via an easy-to-use library of computer vision functions and pre-optimized kernels. ## Installation Options -From the 2022.1 release, the OpenVINO installation package has been separated into two parts: OpenVINO Runtime and OpenVINO Development Tools. See the following instructions to decide your installation process. - +Since the 2022.1 release, the OpenVINO installation package has been distributed in two parts: OpenVINO Runtime and OpenVINO Development Tools. See the following instructions to choose your installation process. ### Decide What to Install -**If you have already finished your model development and want to deploy your applications on various devices, [install OpenVINO Runtime](installing-openvino-runtime.md)**, which contains a set of libraries for an easy inference integration into your applications and supports heterogeneous execution across Intel® CPU and Intel® GPU hardware. +**If you have already finished your model development and want to deploy your applications on various devices, [install OpenVINO Runtime](installing-openvino-runtime.md)**, which contains a set of libraries for easy inference integration with your products. -**If you want to download model from [Open Model Zoo](../model_zoo.md), convert to [OpenVINO IR](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md), [optimize](../optimization_guide/model_optimization_guide.md) and tune pre-trained deep learning models**, [install OpenVINO Development Tools](installing-model-dev-tools.md), which provides the following tools: +**If you want to download models from [Open Model Zoo](../model_zoo.md), [convert your own models to OpenVINO IR](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md), or [optimize and tune pre-trained deep learning models](../optimization_guide/model_optimization_guide.md)**, [install OpenVINO Development Tools](installing-model-dev-tools.md), which provides the following tools: * Model Optimizer * Post-Training Optimization Tool @@ -25,15 +24,14 @@ From the 2022.1 release, the OpenVINO installation package has been separated in ### Choose Your Installation Method -For Python developers, you can [install OpenVINO from PyPI](installing-openvino-pip.md), which contains both OpenVINO Runtime and Development Tools and less steps. +For Python developers, you can [install OpenVINO from PyPI](installing-openvino-pip.md), which contains both OpenVINO Runtime and Development Tools, while requiring fewer steps. -For C++ developers, you may choose one of the following installation options to install OpenVINO Runtime on your specific operating system: +For C++ developers, you may choose one of the following installation options for OpenVINO Runtime on your specific operating system: -* Linux: You can install OpenVINO Runtime using an [Installer](installing-openvino-linux.md), [APT](installing-openvino-apt.md), [YUM](installing-openvino-yum.md), [Anaconda Cloud](installing-openvino-conda.md) or [Docker](installing-openvino-docker-linux.md). -* Windows: You can install OpenVINO Runtime using an [Installer](installing-openvino-windows.md), [Anaconda Cloud](installing-openvino-conda.md) or [Docker](installing-openvino-docker-windows.md). +* Linux: You can install OpenVINO Runtime using an [Installer](installing-openvino-linux.md), [APT](installing-openvino-apt.md), [YUM](installing-openvino-yum.md), [Anaconda Cloud](installing-openvino-conda.md), or [Docker](installing-openvino-docker-linux.md). +* Windows: You can install OpenVINO Runtime using an [Installer](installing-openvino-windows.md), [Anaconda Cloud](installing-openvino-conda.md), or [Docker](installing-openvino-docker-windows.md). * macOS: You can install OpenVINO Runtime using an [Installer](installing-openvino-macos.md) or [Anaconda Cloud](installing-openvino-conda.md). * [Raspbian OS](installing-openvino-raspbian.md). -> **NOTE**: From the 2022.1 release, OpenVINO Development Tools can **only** be installed via PyPI. See [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps. - -Besides, the open source version is also available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino/). You can build it for supported platforms using the [OpenVINO Build Instructions](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode). +> **NOTE**: With the introduction of the 2022.1 release, the OpenVINO Development Tools can be installed **only** via PyPI. See [Install OpenVINO Development Tools](installing-model-dev-tools.md) for detailed steps. +Source files are also available in the [OpenVINO toolkit GitHub repository](https://github.com/openvinotoolkit/openvino/), so you can build your own package for the supported platforms, as described in [OpenVINO Build Instructions](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode). \ No newline at end of file