openvino/docs/get_started.md

Get Started

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.. toctree:: :maxdepth: 1 :hidden: :caption: Install OpenVINO

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

.. toctree:: :maxdepth: 1 :hidden: :caption: Additional Configurations

Configurations for GPU <openvino_docs_install_guides_configurations_for_intel_gpu> Configurations for NCS2 <openvino_docs_install_guides_configurations_for_ncs2> Configurations for VPU <openvino_docs_install_guides_installing_openvino_ivad_vpu>

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

Troubleshooting Guide <openvino_docs_get_started_guide_troubleshooting>

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

Get Started with Step-by-step Demo <openvino_docs_get_started_get_started_demos> Get Started with Tutorials

.. toctree:: :maxdepth: 1 :hidden: :caption: OpenVINO Code Samples

openvino_docs_IE_DG_Samples_Overview

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To get started with OpenVINO, the first thing to do is to actually install it. You can get an overview of what installation options we provide and start from there.

If you already have enough information, you can also choose the installation type that best suits your needs from one of the options below:
Install
OpenVINO Runtime Install OpenVINO
Development Tools Build
from source

If you are using Intel® Processor Graphics, Intel® Vision Accelerator Design with Intel® Movidius™ VPUs or Intel® Neural Compute Stick 2, please check the additional configurations for them accordingly: Configurations for GPU, Configurations for VPU or Configurations for NCS2.

With OpenVINO installed, 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: from performing sample inference with just one command, to running code samples, demo application or Jupyter notebooks. If you prefer working with GUI, you can also get started with the DL Workbench application. This way you can choose the right level for you.

Choose how you want to progress:

One-command demo

Execute just one command and watch all the steps happening before your eyes.

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.

DL Workbench

Use a web-based version of OpenVINO with a Graphical User Interface. Installing a DL Workbench container is required.

OpenVINO samples

See ready-made applications explaining OpenVINO features and various use-cases.

Reference Implementation For Speech Recognition Apps

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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