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Install OpenVINO™ Runtime on Windows from Installer

Note

Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter are not part of the installer. These tools are now only available on pypi.org.

You can also check the Release Notes for more information on updates in this release.

System Requirements

Operating Systems

Microsoft Windows 10, 64-bit

Hardware

Optimized for these processors:

• 6th to 12th generation Intel® Core™ processors and Intel® Xeon® processors

• 3rd generation Intel® Xeon® Scalable processor (formerly code named Cooper Lake)

• Intel® Xeon® Scalable processor (formerly Skylake and Cascade Lake)

• Intel Atom® processor with support for Intel® Streaming SIMD Extensions 4.1 (Intel® SSE4.1)

• Intel Pentium® processor N4200/5, N3350/5, or N3450/5 with Intel® HD Graphics

• Intel® Iris® Xe MAX Graphics

• Intel® Neural Compute Stick 2

• Intel® Vision Accelerator Design with Intel® Movidius™ VPUs

Processor Notes

Processor graphics are not included in all processors. See Product Specifications for information about your processor.

Software

• For C++ developers:

  • Microsoft Visual Studio 2019 with MSBuild

  • CMake 3.14 or higher, 64-bit (optional, only required for building sample applications)

• For Python developers: Python 3.6 - 3.9, 64-bit

  • Note that OpenVINO is gradually stopping the support for Python 3.6. Python 3.7 - 3.9 are recommended.

Note

You can choose to download Community version. Use Microsoft Visual Studio installation guide to walk you through the installation. During installation in the Workloads tab, choose Desktop development with C++.

Note

You can either use cmake<version>.msi which is the installation wizard or cmake<version>.zip where you have to go into the bin folder and then manually add the path to environmental variables.

Important

As part of this installation, make sure you click the option Add Python 3.x to PATH to add Python to your PATH environment variable.

Overview

This guide provides step-by-step instructions on how to install the Intel® Distribution of OpenVINO™ toolkit. Links are provided for each type of compatible hardware including downloads, initialization and configuration steps. The following steps will be covered:

1. Install the Intel® Distribution of OpenVINO™ Toolkit

2. Configure the Environment

3. Download additional components (Optional)

4. Configure Inference on non-CPU Devices (Optional)

5. What’s next?

Step 1: Install the Intel® Distribution of OpenVINO™ toolkit Core Components

1. Download the Intel® Distribution of OpenVINO™ toolkit package file from Intel® Distribution of OpenVINO™ toolkit for Windows. Select the Intel® Distribution of OpenVINO™ toolkit for Windows package from the dropdown menu.

2. Go to the Downloads folder and double-click w_openvino_toolkit_p_<version>.exe. In the opened window, you can select the folder where installer files will be placed. The directory will be referred to as <INSTALL_DIR> elsewhere in the documentation. Once the files are extracted, you should see the following dialog box open up:

   

3. Follow the instructions on your screen. During the installation you will be asked to accept the license agreement. Your acceptance is required to continue. Check out the installation process in the image below:

   

   Click on the image to see the details.

   By default, the Intel® Distribution of OpenVINO™ is installed to the following directory, referred to as <INSTALL_DIR> elsewhere in the documentation: C:\Program Files (x86)\Intel\openvino_<version>/.

   For simplicity, a symbolic link to the latest installation is also created: C:\Program Files (x86)\Intel\openvino_2022/.

The core components are now installed. Continue to the next section to configure environment.

Step 2: Configure the Environment

Note

If you installed the Intel® Distribution of OpenVINO™ to a non-default install directory, replace C:\Program Files (x86)\Intel with that directory in this guide’s instructions.

You must update several environment variables before you can compile and run OpenVINO™ applications. Open the Command Prompt, and run the setupvars.bat batch file to temporarily set your environment variables:

"<INSTALL_DIR>\setupvars.bat"

Optional : OpenVINO™ toolkit environment variables are removed when you close the command prompt window. You can permanently set the environment variables manually.

Note

If you see an error indicating Python is not installed when you know you installed it, your computer might not be able to find the program. Check your system environment variables, and add Python if necessary.

The environment variables are set. Next, you can download some additional tools.

Step 3 (Optional): Download Additional Components

Note

Since the OpenVINO™ 2022.1 release, the following development tools: Model Optimizer, Post-Training Optimization Tool, Model Downloader and other Open Model Zoo tools, Accuracy Checker, and Annotation Converter are not part of the installer. The OpenVINO™ Development Tools can only be installed via PyPI now. See Install OpenVINO™ Development Tools for detailed steps.

OpenCV

OpenCV is necessary to run demos from Open Model Zoo (OMZ). Some OpenVINO samples can also extend their capabilities when compiled with OpenCV as a dependency. The Intel® Distribution of OpenVINO™ provides a script to install OpenCV: <INSTALL_DIR>/extras/scripts/download_opencv.sh.

Note

No prerequisites are needed.

There are three ways to run the script:

• GUI: right-click the script and select Run with PowerShell.

• Command prompt (CMD) console:

powershell <INSTALL_DIR>\extras\scripts\download_opencv.ps1

• PowerShell console:

.\<INSTALL_DIR>\scripts\download_opencv.ps1

If the Intel® Distribution of OpenVINO™ is installed to the system location (e.g. Program Files (x86)) then privilege elevation dialog will be shown. The script can be run from CMD/PowerShell Administrator console to avoid this dialog in case of system-wide installation. The script is interactive by default, so during the execution it will wait for user to press Enter If you want to avoid this, use the -batch option, e.g. powershell <openvino>\extras\scripts\download_opencv.ps1 -batch. After the execution of the script, you will find OpenCV extracted to <INSTALL_DIR>/extras/opencv.

Step 4 (Optional): Configure Inference on non-CPU Devices

GPU

To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in GPU Setup Guide.

VPU

To install and configure your Intel® Vision Accelerator Design with Intel® Movidius™ VPUs, see the VPU Configuration Guide.

NCS 2

No additional configurations are needed.

GNA

To enable the toolkit components to use Intel® Gaussian & Neural Accelerator (GNA) on your system, follow the steps in GNA Setup Guide.

Step 5: What’s next?

Now you are ready to try out the toolkit.

Start with some Python tutorials:

• Hello Image Classification

• Convert TensorFlow models with OpenVINO™

• Convert a PyTorch model and remove the image background

To start with C++ samples, see Build Sample Applications on Windows first, and then you can try the following samples:

• Hello Classification C++ Sample

• Hello Reshape SSD C++ Sample

• Image Classification Async C++ Sample

Uninstalling the Intel® Distribution of OpenVINO™ Toolkit

To uninstall the toolkit, follow the steps on the Uninstalling page.

Additional Resources

• Converting models for use with OpenVINO™: Model Optimizer Developer Guide

• Writing your own OpenVINO™ applications: OpenVINO™ Runtime User Guide

• Sample applications: OpenVINO™ Toolkit Samples Overview

• Pre-trained deep learning models: Overview of OpenVINO™ Toolkit Pre-Trained Models

• IoT libraries and code samples in the GitHUB repository: Intel® IoT Developer Kit

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