openvino/docs/get_started.md

Get Started

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.. toctree:: :maxdepth: 1 :hidden: :caption: Install From Release Packages

Linux <openvino_docs_install_guides_installing_openvino_linux> Windows <openvino_docs_install_guides_installing_openvino_windows> macOS <openvino_docs_install_guides_installing_openvino_macos> Raspbian OS <openvino_docs_install_guides_installing_openvino_raspbian> Uninstalling <openvino_docs_install_guides_uninstalling_openvino>

.. toctree:: :maxdepth: 1 :hidden: :caption: Install From Images and Repositories

Overview <openvino_docs_install_guides_installing_openvino_images> PIP<openvino_docs_install_guides_installing_openvino_pip> Docker for Linux <openvino_docs_install_guides_installing_openvino_docker_linux> Docker for Windows <openvino_docs_install_guides_installing_openvino_docker_windows> Docker with DL Workbench <workbench_docs_Workbench_DG_Run_Locally> APT <openvino_docs_install_guides_installing_openvino_apt> YUM <openvino_docs_install_guides_installing_openvino_yum> Conda <openvino_docs_install_guides_installing_openvino_conda> Yocto <openvino_docs_install_guides_installing_openvino_yocto> Build from Source https://github.com/openvinotoolkit/openvino/wiki/BuildingCode

.. toctree:: :maxdepth: 1 :hidden: :caption: Configuration for Hardware

Configure Intel® Vision Accelerator Design with Intel® Movidius™ VPUs on Linux*<openvino_docs_install_guides_installing_openvino_linux_ivad_vpu> Intel® Movidius™ VPUs Setup Guide <openvino_docs_install_guides_movidius_setup_guide> Intel® Movidius™ VPUs Programming Guide <openvino_docs_install_guides_movidius_programming_guide>

.. 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: Inference Engine 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. If you haven't done it yet, choose the installation type that best suits your needs and follow the instructions:
Install
Package Install from
images or repositories Build
from source

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:

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.

Inference Engine 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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