This guide provides installation steps for the Intel® Distribution of OpenVINO™ toolkit for Linux* distributed through the YUM 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™ YUM distribution. You can install it from the Intel® Graphics Compute Runtime for OpenCL™ GitHub repo.
NOTE: Only runtime packages are available via the YUM repository.
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 Stream (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. |
NOTE: You must be logged in as root to set up and install the repository.
Configure YUM with the OpenVINO repository to install OpenVINO. You have two options for this, using the yum-config-manager
or manually by creating a text file and pointing YUM to the file.
.repo
file using the yum-config-manager
:yum-utils
must be installed on your system. If it’s not currently installed, run the command: yum-config-manager
: intel-openvino-2021.repo
file.Run the following command:
Results:
Use the following command:
Intel® OpenVINO will be installed in: /opt/intel/openvino_<VERSION>.<UPDATE>.<BUILD_NUM>
A symlink will be created: /opt/intel/openvino_<VERSION>
To install the full runtime version of the OpenVINO package:
To install the full runtime version of the OpenVINO package:
To uninstall a specific full runtime package:
Additional Resources