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Install OpenVINO™ Runtime from Conda Forge

@sphinxdirective

.. note::

Installing OpenVINO Runtime from Conda Forge is recommended for C++ developers, as it provides only the C++ Runtime API. If you work with Python, consider :doc:installing OpenVINO from PyPI <openvino_docs_install_guides_installing_openvino_pip>

The current Anaconda package does not provide support for GPU inference.

.. tab:: System Requirements

| Full requirement listing is available in: | System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>__

.. comment to publish in the future, when gpu support comes back:

.. tab:: Processor Notes

    | Not all Intel CPUs include integrated graphics processors.  
    | See `Product Specifications <https://ark.intel.com/>`__ for information about your hardware.

.. tab:: Software

There are many ways to work with Conda. Before you proceed, learn more about it on the Anaconda distribution page <https://www.anaconda.com/products/individual/>__

Installing OpenVINO Runtime with Anaconda Package Manager ############################################################

  1. Set up the Anaconda environment (Python 3.10 used as an example):

    .. code-block:: sh

    conda create --name py310 python=3.10

    .. code-block:: sh

    conda activate py310

  2. Update it to the latest version:

    .. code-block:: sh

    conda update --all

  3. Install the OpenVINO Runtime package:

    .. code-block:: sh

    conda install -c conda-forge openvino=2022.3.0

    Congratulations! You have finished installing OpenVINO Runtime.

Uninstalling OpenVINO™ Runtime ###########################################################

Once OpenVINO Runtime is installed via Conda, you can remove it using the following command, with the proper OpenVINO version number:

.. code-block:: sh

conda remove openvino=2022.3.0

What's Next? ############################################################

Now that you've installed OpenVINO Runtime, you are ready to run your own machine learning applications! To learn more about how to integrate a model in OpenVINO applications, try out some tutorials and sample applications.

Try the :doc:C++ Quick Start Example <openvino_docs_get_started_get_started_demos> for step-by-step instructions on building and running a basic image classification C++ application.

.. image:: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg :width: 400

Visit the :doc:Samples <openvino_docs_OV_UG_Samples_Overview> page for other C++ example applications to get you started with OpenVINO, such as:

  • Basic object detection with the Hello Reshape SSD C++ sample <openvino_inference_engine_samples_hello_reshape_ssd_README.html>__
  • Automatic speech recognition C++ sample <openvino_inference_engine_samples_speech_sample_README.html>__

Additional Resources ###########################################################

  • OpenVINO Runtime Conda Forge <https://anaconda.org/conda-forge/openvino>__
  • :doc:OpenVINO™ Toolkit Samples Overview <openvino_docs_OV_UG_Samples_Overview>
  • OpenVINO Installation Selector Tool <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html>__

@endsphinxdirective