Install OpenVINO™ Runtime on Windows 10 from an Archive File¶
With the OpenVINO™ 2022.1.1 release, you can download and use archive files to install OpenVINO Runtime.
You can also check the Release Notes for more information on updates in this release.
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 can be installed via pypi.org only.
Microsoft Windows 10, 64-bit
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 graphics are not included in all processors. See Product Specifications for information about your processor.
- 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.
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++.
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.
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.
Installing OpenVINO Runtime¶
Step 1: Download and Install OpenVINO Core Components¶
Select and download the OpenVINO™ archive files from Intel® Distribution of OpenVINO™ toolkit download page. There are typically two files for you to download:
w_openvino_toolkit_<operating system>_<release version>_<package ID>.zip w_openvino_toolkit_<operating system>_<release version>_<package ID>.zip.sha256
.sha256file is used to verify the success of the download process.
Locate the downloaded files in your system. This document assumes the files are in your
Open a command prompt terminal window, and run the following command with the
CertUtil -hashfile <archive name>.zip SHA256
Compare the returned value in the output with what’s in the
If the values are the same, you have downloaded the correct file successfully.
If not, create a Support ticket here.
<archive name>.zipfile using your preferred archive tool.
The name of the archive file might be long. Make sure that you have enabled long paths on Windows to avoid possible errors in the unzipping process.
The standard OpenVINO
<INSTALL_DIR> used in this document is
C:\Program Files (x86)\Intel\openvino_<version>\. You’re recommended to move the extracted files to that directory.
For simplicity, you can also create a symbolic link to the latest installation:
C:\Program Files (x86)\Intel\openvino_2022\.
The core components are now installed. Continue to the next section to configure the environment.
Step 2: Configure the Environment¶
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:
Optional : OpenVINO™ toolkit environment variables are removed when you close the command prompt window. You can permanently set the environment variables manually.
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): Install Additional Components¶
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 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. To install OpenCV for OpenVINO, see the instructions on Github.
Step 4 (Optional): Configure Inference on non-CPU Devices¶
To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in GPU Setup Guide.
To install and configure your Intel® Vision Accelerator Design with Intel® Movidius™ VPUs, see the VPU Configuration Guide.
No additional configurations are needed.
To enable the toolkit components to use Intel® Gaussian & Neural Accelerator (GNA) on your system, follow the steps in GNA Setup Guide.
Now you are ready to try out the toolkit.
Start with some Python tutorials:
To start with C++ samples, see Build Sample Applications on Windows first, and then you can try the following samples:
Uninstalling the Intel® Distribution of OpenVINO™ Toolkit¶
To uninstall the toolkit, follow the steps on the Uninstalling page.
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