Get Started¶
This guide introduces the installation, configuration, and get started guides of Intel® Distribution of OpenVINO™ toolkit. Check the following steps from left to right:
Install Intel® Distribution
of OpenVINO™ toolkit
Perform
Additional Configurations
Try
Get Started Materials
If you prefer using a graphical interface, you can Run Deep Learning Workbench in the Intel® DevCloud for the Edge. Deep Learning Workbench (DL Workbench) is the web version of OpenVINO developed based on Intel® Distribution of OpenVINO™ toolkit with a similar but slightly different function set.
Tutorials, Samples, and Demo Applications
After all the installation and configuration steps are done, you are ready to run your first inference and learn the workflow. Here is a set of hands-on demonstrations of various complexity levels to guide you through the process. You can run Jupyter notebooks, code samples, or demo applications.
Interactive Tutorials - Jupyter Notebooks (Python)
Learn from a choice of interactive Python tutorials targeting typical OpenVINO use cases.
OpenVINO Samples
See ready-made applications explaining OpenVINO features and various use-cases.
Reference Implementation For Speech Recognition Apps (Python)
Use a speech recognition demo and Kaldi model conversion tool as reference.
Reference Implementation For Speech Recognition Apps (C++)
Use a speech recognition demo and Kaldi model conversion tool as reference.
Open Model Zoo Demo Applications
See Open Model Zoo demo applications to use robust application templates for implementing specific deep learning scenarios.
Intel® DevCloud
Develop, test, and run your OpenVINO solution for free on a cluster of the latest Intel® hardware.