Install OpenVINO™ Runtime on Linux from an Archive File

Note

Note that the Archive distribution:

• offers both C/C++ and Python APIs

• additionally includes code samples

• is dedicated to Linux users (archives for other systems are also available)

• may offer different hardware support under different operating systems (see the drop-down below for more details).

Inference Options

Operating System	CPU	GPU	GNA	NPU
Debian9 armhf	V	n/a	n/a	n/a
Debian9 arm64	V	n/a	n/a	n/a
CentOS7 x86_64	V	V	n/a	n/a
Ubuntu18 x86_64	V	V	V	n/a
Ubuntu20 x86_64	V	V	V	V
Ubuntu22 x86_64	V	V	V	V
RHEL8 x86_64	V	V	V	n/a

System Requirements

Full requirement listing is available in:

System Requirements Page

Processor Notes

To see if your processor includes the integrated graphics technology and supports iGPU inference, refer to:

Product Specifications

Software

• CMake 3.13 or higher, 64-bit

• Python 3.7 - 3.11, 64-bit

• GCC:

Ubuntu 20.04

• GCC 9.3.0

Ubuntu 18.04

• GCC 7.5.0

RHEL 8

• GCC 8.4.1

CentOS 7

• GCC 8.3.1

Use the following instructions to install it:

Install GCC 8.3.1 via devtoolset-8

sudo yum update -y && sudo yum install -y centos-release-scl epel-release
sudo yum install -y devtoolset-8

Enable devtoolset-8 and check current gcc version

source /opt/rh/devtoolset-8/enable
gcc -v

Installing OpenVINO Runtime

Step 1: Download and Install the OpenVINO Core Components

1. Open a command prompt terminal window. You can use the keyboard shortcut: Ctrl+Alt+T

2. Create the /opt/intel folder for OpenVINO by using the following command. If the folder already exists, skip this step.

   sudo mkdir /opt/intel
   

   Note

   The /opt/intel path is the recommended folder path for administrators or root users. If you prefer to install OpenVINO in regular userspace, the recommended path is /home/<USER>/intel. You may use a different path if desired.

3. Browse to the current user’s Downloads folder:

   cd <user_home>/Downloads
   

4. Download the OpenVINO Runtime archive file for your system, extract the files, rename the extracted folder and move it to the desired path:

   x86_64

   Ubuntu 22.04

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_ubuntu22_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_ubuntu22_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
   

   Ubuntu 20.04

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_ubuntu20_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_ubuntu20_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
   

   Ubuntu 18.04

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_ubuntu18_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_ubuntu18_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
   

   RHEL 8

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_rhel8_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_rhel8_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
   

   CentOS 7

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_centos7_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_centos7_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
   

   ARM 64-bit

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_arm64.tgz -O openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_arm64 /opt/intel/openvino_2023.1.0
   

   ARM 32-bit

   curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1/linux/l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_armhf.tgz -O openvino_2023.1.0.tgz
   tar -xf openvino_2023.1.0.tgz
   sudo mv l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_armhf /opt/intel/openvino_2023.1.0
   

5. Install required system dependencies on Linux. To do this, OpenVINO provides a script in the extracted installation directory. Run the following command:

   cd /opt/intel/openvino_2023.1.0
   sudo -E ./install_dependencies/install_openvino_dependencies.sh
   

6. (Optional) Install numpy Python Library:

   Note

   This step is required only when you decide to use Python API.

   You can use the requirements.txt file from the /opt/intel/openvino_2023.1.0/python folder:

   cd /opt/intel/openvino_2023.1.0
   python3 -m pip install -r ./python/requirements.txt
   

7. For simplicity, it is useful to create a symbolic link as below:

   cd /opt/intel
   sudo ln -s openvino_2023.1.0 openvino_2023
   

   Note

   If you have already installed a previous release of OpenVINO 2023, a symbolic link to the openvino_2023 folder may already exist. Unlink the previous link with sudo unlink openvino_2023, and then re-run the command above.

Congratulations, you have finished the installation! For some use cases you may still need to install additional components. Check the description below, as well as the list of additional configurations to see if your case needs any of them.

The /opt/intel/openvino_2023 folder now contains the core components for OpenVINO. If you used a different path in Step 2, for example, /home/<USER>/intel/, OpenVINO is now in /home/<USER>/intel/openvino_2023. The path to the openvino_2023 directory is also referred as <INSTALL_DIR> throughout the OpenVINO documentation.

Step 2: Configure the Environment

You must update several environment variables before you can compile and run OpenVINO applications. Open a terminal window and run the setupvars.sh script as shown below to temporarily set your environment variables. If your <INSTALL_DIR> is not /opt/intel/openvino_2023, use the correct one instead.

source /opt/intel/openvino_2023/setupvars.sh

If you have more than one OpenVINO version installed on your system, you can easily switch versions by sourcing the setupvars.sh of your choice.

Note

The above command must be re-run every time you start a new terminal session. To set up Linux to automatically run the command every time a new terminal is opened, open ~/.bashrc in your favorite editor and add source /opt/intel/openvino_2023/setupvars.sh after the last line. Next time when you open a terminal, you will see [setupvars.sh] OpenVINO™ environment initialized. Changing .bashrc is not recommended when you have multiple OpenVINO versions on your machine and want to switch among them.

The environment variables are set.

What’s Next?

Now that you’ve installed OpenVINO Runtime, you’re ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials.

Get started with Python

Try the Python Quick Start Example to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.

Visit the Tutorials page for more Jupyter Notebooks to get you started with OpenVINO, such as:

• OpenVINO Python API Tutorial

• Basic image classification program with Hello Image Classification

• Convert a PyTorch model and use it for image background removal

Get started with C++

Try the C++ Quick Start Example for step-by-step instructions on building and running a basic image classification C++ application.

Visit the Samples page for other C++ example applications to get you started with OpenVINO, such as:

• Basic object detection with the Hello Reshape SSD C++ sample

• Automatic speech recognition C++ sample

Uninstalling the Intel® Distribution of OpenVINO™ Toolkit

If you have installed OpenVINO Runtime from archive files, you can uninstall it by deleting the archive files and the extracted folders. Uninstallation removes all Intel® Distribution of OpenVINO™ Toolkit component files but does not affect user files in the installation directory.

If you have created the symbolic link, remove the link first:

sudo rm /opt/intel/openvino_2023

To delete the files:

rm -r <extracted_folder> && rm <path_to_archive>

Additional Resources

• Troubleshooting Guide for OpenVINO Installation & Configuration

• Converting models for use with OpenVINO™: Convert a Model

• 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