openvino/docs/get_started.md

Get Started

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.. toctree:: :maxdepth: 1 :hidden: :caption: Installation & Configuration

Overview <openvino_docs_install_guides_overview> Installing OpenVINO Runtime <openvino_docs_install_guides_install_runtime> Installing OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools> Build from Source https://github.com/openvinotoolkit/openvino/wiki/BuildingCode Creating a Yocto Image <openvino_docs_install_guides_installing_openvino_yocto> Additional Configurations <openvino_docs_install_guides_configurations_header> Uninstalling <openvino_docs_install_guides_uninstalling_openvino>

.. toctree:: :maxdepth: 1 :hidden: :caption: Get Started Guides

Step-by-step Demo <openvino_docs_get_started_get_started_demos> Python Tutorials Code Samples <openvino_docs_OV_UG_Samples_Overview>

.. toctree:: :maxdepth: 1 :hidden: :caption: Troubleshooting

Installation & Configuration Issues <openvino_docs_get_started_guide_troubleshooting>

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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 Steps

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.

Get Started with Tutorials, Demos, and Samples

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 code samples, demo applications, or Jupyter notebooks.

Step-by-step demo

Follow the step-by-step instructions to execute simple tasks with OpenVINO.

Python tutorials

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.

Intel® DevCloud

Develop, test, and run your OpenVINO solution for free on a cluster of the latest Intel® hardware.

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