docs/dev/pypi_publish/pypi-openvino-rt.md
Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing and deploying AI inference. It can be used to develop applications and solutions based on deep learning tasks, such as: emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, image generation, etc. It provides high-performance and rich deployment options, from edge to cloud.
If you have chosen a model, you can integrate it with your application through OpenVINO™ and deploy it on various devices. The OpenVINO™ Python package includes a set of libraries for easy inference integration with your products.
Before you start the installation, check the supported operating systems and required Python* versions. The complete list of supported hardware is available on the System Requirements page.
C++ libraries are also required for the installation on Windows*. To install that, you can download the Visual Studio Redistributable file (.exe).
NOTE: This package may work on other Linux and Windows versions but only the versions specified in system requirements are fully validated.
Use a virtual environment to avoid dependency conflicts. To create a virtual environment, use the following commands:
On Windows:
python -m venv openvino_env
On Linux and macOS:
python3 -m venv openvino_env
NOTE: On Linux and macOS, you may need to install pip.
On Windows:
openvino_env\Scripts\activate
On Linux and macOS:
source openvino_env/bin/activate
Run the command:
python -m pip install --upgrade pip
Run the command:
pip install openvino
Run the command:
python -c "from openvino import Core; print(Core().available_devices)"
If installation was successful, you will see the list of available devices.
For general troubleshooting, see the Troubleshooting Guide for OpenVINO Installation. The following sections also provide explanations to several error messages.
Users in China may encounter errors while downloading sources via PIP during OpenVINO™ installation. To resolve the issues, try the following solution:
Add the download source using the -i parameter with the Python pip command. For example:
pip install openvino -i https://mirrors.aliyun.com/pypi/simple/
Use the --trusted-host parameter if the URL above is http instead of https.
On Windows, additional libraries may be necessary to run OpenVINO. To resolve this issue, install the C++ redistributable (.exe). You can also view a full download list on the official support page.
To resolve missing external dependency on Ubuntu*, execute the following command:
sudo apt-get install libpython3.10
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