* Add Overview page * Revert "Add Overview page" * fix errors & formatting * fix article usage according to the styles * fix errors * update according to PXT comments * CVS-80775 * update support matrix with Python version * fix formatting * fix formatting * CVS-71745 * update formatting * fix formatting * fix formatting * fix links & errors * fix formatting * update bullet points * update * adjust the order * update * update * updates * update references * update * update * apply same updates with 22/1 * minor fix
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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> Configurations for GNA <openvino_docs_install_guides_configurations_for_intel_gna>
.. 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
.. toctree:: :maxdepth: 1 :hidden: :caption: Troubleshooting
Installation & Configuration Issues <openvino_docs_get_started_guide_troubleshooting>
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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, Intel® Neural Compute Stick 2 or Intel® Gaussian & Neural Accelerator (GNA), please check the additional configurations for them accordingly: Configurations for GPU, Configurations for VPU, Configurations for NCS2 or Configurations for GNA.
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.
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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