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.
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, API Reference, Elements, Tutorial. |
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 | 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, Post-Training Optimization Tool Guide, Model Downloader and other |
Documentation for Pre-Trained Models | 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, API Reference, Elements, Tutorial. |
Run the following command:
Run the update
command:
There are full release Runtime and Developer packages, and also some available components.
Runtime Packages
intel-openvino-runtime-ubuntu18
intel-openvino-runtime-ubuntu20
Developer Packages
intel-openvino-dev-ubuntu18
intel-openvino-dev-ubuntu20
Run the apt-cache
command to see a list of all available OpenVINO packages and components:
Runtime Packages
On Ubuntu 18.04:
On Ubuntu 20.04:
Developer Packages
On Ubuntu 18.04:
On Ubuntu 20.04:
Intel® OpenVINO will be installed in: /opt/intel/openvino_<VERSION>.<UPDATE>.<BUILD_NUM>
A symlink will be created: /opt/intel/openvino_<VERSION>
To get a list of OpenVINO packages available for installation:
To install a specific version of an OpenVINO package:
Runtime Package
On Ubuntu 18.04:
On Ubuntu 20.04:
To uninstall a specific full runtime package:
Additional Resources