Andrey Zaytsev
0ec7da591d
* Various doc changes * Removed the empty Learning path topic * Restored the Gemini Lake CPIU list
120 lines
5.4 KiB
Markdown
120 lines
5.4 KiB
Markdown
# Get Started {#get_started}
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@sphinxdirective
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.. toctree::
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:maxdepth: 1
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:hidden:
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:caption: Install From Release Packages
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Linux <openvino_docs_install_guides_installing_openvino_linux>
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Windows <openvino_docs_install_guides_installing_openvino_windows>
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macOS <openvino_docs_install_guides_installing_openvino_macos>
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Raspbian OS <openvino_docs_install_guides_installing_openvino_raspbian>
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Uninstalling <openvino_docs_install_guides_uninstalling_openvino>
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.. toctree::
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:maxdepth: 1
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:hidden:
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:caption: Install From Images and Repositories
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Overview <openvino_docs_install_guides_installing_openvino_images>
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PIP<openvino_docs_install_guides_installing_openvino_pip>
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Docker for Linux <openvino_docs_install_guides_installing_openvino_docker_linux>
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Docker for Windows <openvino_docs_install_guides_installing_openvino_docker_windows>
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Docker with DL Workbench <workbench_docs_Workbench_DG_Run_Locally>
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APT <openvino_docs_install_guides_installing_openvino_apt>
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YUM <openvino_docs_install_guides_installing_openvino_yum>
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Conda <openvino_docs_install_guides_installing_openvino_conda>
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Yocto <openvino_docs_install_guides_installing_openvino_yocto>
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Build from Source <https://github.com/openvinotoolkit/openvino/wiki/BuildingCode>
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.. toctree::
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:maxdepth: 1
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:hidden:
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:caption: Configuration for Hardware
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Configure Intel® Vision Accelerator Design with Intel® Movidius™ VPUs on Linux*<openvino_docs_install_guides_installing_openvino_linux_ivad_vpu>
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Intel® Movidius™ VPUs Setup Guide <openvino_docs_install_guides_movidius_setup_guide>
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Intel® Movidius™ VPUs Programming Guide <openvino_docs_install_guides_movidius_programming_guide>
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.. toctree::
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:maxdepth: 1
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:hidden:
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:caption: Get Started Guides
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Get Started with One-Command Demo <openvino_docs_get_started_get_started_scripts>
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Get Started with Step-by-step Demo <openvino_docs_get_started_get_started_demos>
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Get Started with Tutorials <tutorials>
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.. toctree::
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:maxdepth: 1
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:hidden:
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:caption: Inference Engine Code Samples
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openvino_docs_IE_DG_Samples_Overview
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.. toctree::
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:maxdepth: 1
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:hidden:
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:caption: Reference Implementations For Speech Recognition Apps
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openvino_inference_engine_samples_speech_libs_and_demos_Speech_libs_and_demos
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openvino_inference_engine_samples_speech_libs_and_demos_Speech_library
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openvino_inference_engine_samples_speech_libs_and_demos_Offline_speech_recognition_demo
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openvino_inference_engine_samples_speech_libs_and_demos_Live_speech_recognition_demo
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openvino_inference_engine_samples_speech_libs_and_demos_Kaldi_SLM_conversion_tool
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@endsphinxdirective
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@sphinxdirective
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.. raw:: html
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<link rel="stylesheet" type="text/css" href="_static/css/getstarted_style.css">
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<p id="GSG_introtext">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:<br />
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<a href="openvino_docs_install_guides_installing_openvino_linux.html" >Install<br /> Package </a>
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<a href="openvino_docs_install_guides_installing_openvino_images.html" >Install from <br /> images or repositories</a>
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<a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode" >Build <br /> from source</a>
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</p>
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<div style="clear:both;"> </div>
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<p>With OpenVINO installed, you are ready to run your first inference and learn the workflow. <br /> 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.<br /></p>
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<h3>Choose how you want to progress:</h3>
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<div id="GSG_nextstepchoice">
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<a href="openvino_docs_get_started_get_started_scripts.html" >
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<h4>One-command demo </h4>
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<p>Execute just one command and watch all the steps happening before your eyes. </p>
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</a>
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<a href="openvino_docs_get_started_get_started_demos.html" >
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<h4>Step-by-step demo </h4>
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<p>Follow the step-by-step instructions to execute simple tasks with OpenVINO. </p>
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</a>
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<a href="tutorials.html" >
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<h4>Python Tutorials </h4>
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<p>Learn from a choice of interactive Python tutorials targeting typical OpenVINO use cases. </p>
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</a>
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<a href="workbench_docs_Workbench_DG_Introduction.html" >
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<h4>DL Workbench </h4>
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<p>Use a web-based version of OpenVINO with a Graphical User Interface. Installing a DL Workbench container is required. </p>
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</a>
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<a href="openvino_docs_IE_DG_Samples_Overview.html" >
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<h4>Inference Engine samples </h4>
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<p>See ready-made applications explaining OpenVINO features and various use-cases. </p>
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</a>
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<a href="openvino_docs_IE_DG_Samples_Overview.html" >
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<h4>Reference Implementation For Speech Recognition Apps</h4>
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<p>Use a speech recognition demo and Kaldi* model conversion tool as reference. </p>
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</a>
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<a href="http://devcloud.intel.com/edge/" >
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<h4>Intel® DevCloud </h4>
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<p>Develop, test, and run your OpenVINO solution for free on a cluster of the latest Intel® hardware. </p>
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</a>
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</div>
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<div style="clear:both;"> </div>
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@endsphinxdirective |