openvino/docs/install_guides/installing-openvino-apt.md

Install Intel® Distribution of OpenVINO™ toolkit for Linux* Using APT Repository

This guide provides installation steps for Intel® Distribution of OpenVINO™ toolkit for Linux* distributed through the APT repository.

Important

: By downloading and using this container and the included software, you agree to the terms and conditions of the software license agreements. Please, review the content inside the <openvino_install_root>/licensing folder for more details.

Note

: Intel® Graphics Compute Runtime for OpenCL™ is not a part of OpenVINO™ APT distribution. You can install it from the Intel® Graphics Compute Runtime for OpenCL™ GitHub repo.

System Requirements

The complete list of supported hardware is available in the Release Notes.

Operating Systems

• Ubuntu 18.04.x long-term support (LTS), 64-bit
• Ubuntu 20.04.0 long-term support (LTS), 64-bit

Included with Runtime Package

The following components are installed with the OpenVINO runtime package:

Component	Description
Inference Engine	The engine that runs a deep learning model. It includes a set of libraries for an easy inference integration into your applications.
OpenCV*	OpenCV* community version compiled for Intel® hardware.
Deep Learning Streamer (DL Streamer)	Streaming analytics framework, based on GStreamer, for constructing graphs of media analytics components. For the DL Streamer documentation, see [DL Streamer Samples](@ref gst_samples_README), API Reference, Elements, Tutorial.

Included with Developer Package

The following components are installed with the OpenVINO developer package:

Component	Description
Model Optimizer	This tool imports, converts, and optimizes models that were trained in popular frameworks to a format usable by Intel tools, especially the Inference Engine.  Popular frameworks include Caffe*, TensorFlow*, MXNet*, and ONNX*.
Inference Engine	The engine that runs a deep learning model. It includes a set of libraries for an easy inference integration into your applications.
OpenCV*	OpenCV* community version compiled for Intel® hardware
Sample Applications	A set of simple console applications demonstrating how to use the Inference Engine in your applications.
[Demo Applications](@ref omz_demos)	A set of console applications that demonstrate how you can use the Inference Engine in your applications to solve specific use cases.
Additional Tools	A set of tools to work with your models including [Accuracy Checker utility](@ref omz_tools_accuracy_checker), [Post-Training Optimization Tool Guide](@ref pot_README), [Model Downloader](@ref omz_tools_downloader) and other
[Documentation for Pre-Trained Models ](@ref omz_models_group_intel)	Documentation for the pre-trained models available in the Open Model Zoo repo.
Deep Learning Streamer (DL Streamer)	Streaming analytics framework, based on GStreamer*, for constructing graphs of media analytics components. For the DL Streamer documentation, see [DL Streamer Samples](@ref gst_samples_README), API Reference, Elements, Tutorial.

Install Packages

Set up the OpenVINO™ Toolkit APT Repository

Install the GPG key for the Repository

1. Download the public key from https://apt.repos.intel.com/openvino/2021/GPG-PUB-KEY-INTEL-OPENVINO-2021 and save it to a file.
2. Add this key to the system keyring:

sudo apt-key add <PATH_TO_DOWNLOADED_GPG_KEY>

Note

: You might need to install GnuPG: sudo apt-get install gnupg

3. Check the list of APT keys running the following command:

sudo apt-key list

Add the Repository

Run the following command:

echo "deb https://apt.repos.intel.com/openvino/2021 all main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2021.list

Update the List of Packages

Run the update command:

sudo apt update

Verify that the APT Repository is Properly Set Up

Run the apt-cache command to see a list of all available OpenVINO packages and components:

apt-cache search openvino

See the example commands below:

• Runtime Packages

  On Ubuntu 18.04:

  sudo apt-cache search intel-openvino-runtime-ubuntu18
  

  On Ubuntu 20.04:

  sudo apt-cache search intel-openvino-runtime-ubuntu20
  

• Developer Packages

  On Ubuntu 18.04:

  sudo apt-cache search intel-openvino-dev-ubuntu18
  

  On Ubuntu 20.04:

  sudo apt-cache search intel-openvino-dev-ubuntu20
  

Install Runtime or Developer Packages using the APT Package Manager

Intel® OpenVINO™ Toolkit will be installed in: /opt/intel/openvino_<VERSION>.<UPDATE>.<BUILD_NUM>

A symlink will be created: /opt/intel/openvino_<VERSION>

To Install a Specific Version

1. Get a list of OpenVINO packages available for installation:

sudo apt-cache search intel-openvino-runtime-ubuntu18

2. Install a specific version of an OpenVINO package:

sudo apt install intel-openvino-<PACKAGE_TYPE>-ubuntu<OS_VERSION>-<VERSION>.<UPDATE>.<BUILD_NUM>

See the example commands below:

• Runtime Package
  On Ubuntu 18.04:

  sudo apt install intel-openvino-runtime-ubuntu18-2021.1.105
  

  On Ubuntu 20.04:

  sudo apt install intel-openvino-runtime-ubuntu20-2021.1.105
  

• Developer Package
  On Ubuntu 18.04:

  sudo apt install intel-openvino-dev-ubuntu18-2021.1.105 
  

  On Ubuntu 20.04:

  sudo apt install intel-openvino-dev-ubuntu20-2021.1.105
  

To check for Installed Packages and Versions

To get a list of installed OpenVINO packages:

apt list --installed | grep openvino

To Uninstall a Specific Version

To uninstall a specific package:

sudo apt autoremove intel-openvino-<PACKAGE_TYPE>-ubuntu<OS_VERSION>-<VERSION>.<UPDATE>.<BUILD_NUM>

Additional Resources

• Intel® Distribution of OpenVINO™ toolkit home page: https://software.intel.com/en-us/openvino-toolkit.
• OpenVINO™ toolkit online documentation: https://docs.openvinotoolkit.org.
• Model Optimizer Developer Guide.
• Inference Engine Developer Guide.
• For more information on Sample Applications, see the Inference Engine Samples Overview.
• For IoT Libraries & Code Samples see the Intel® IoT Developer Kit.