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* 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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Install Intel® Distribution of OpenVINO™ toolkit from Anaconda Cloud
This guide provides installation steps for Intel® Distribution of OpenVINO™ toolkit for Linux distributed through the Anaconda Cloud.
Note
: From the 2022.1 release, the OpenVINO™ Development Tools can only be installed via PyPI. If you want to develop or optimize your models with OpenVINO, see Install OpenVINO Development Tools for detailed steps.
System Requirements
Software
Operating Systems
| Supported Operating System | Python Version (64-bit) |
|---|---|
| Ubuntu 18.04 long-term support (LTS), 64-bit | 3.6, 3.7, 3.8, 3.9 |
| Ubuntu 20.04 long-term support (LTS), 64-bit | 3.6, 3.7, 3.8, 3.9 |
| Red Hat Enterprise Linux 8, 64-bit | 3.6, 3.7, 3.8, 3.9 |
| macOS 10.15 | 3.6, 3.7, 3.8, 3.9 |
| Windows 10, 64-bit | 3.6, 3.7, 3.8, 3.9 |
Install OpenVINO Runtime Using the Anaconda Package Manager
- Set up the Anaconda environment (taking Python 3.7 for example):
conda create --name py37 python=3.7 conda activate py37 - Update Anaconda environment to the latest version:
conda update --all - Install the Intel® Distribution of OpenVINO™ toolkit:
- Ubuntu* 20.04
conda install openvino-ie4py-ubuntu20 -c intel - Ubuntu* 18.04
conda install openvino-ie4py-ubuntu18 -c intel - Red Hat Enterprise Linux 8, 64-bit
conda install openvino-ie4py-rhel8 -c intel - Windows 10 and macOS
conda install openvino-ie4py -c intel
- Verify the package is installed:
If installation was successful, you will not see any error messages (no console output).
python -c "from openvino.runtime import Core"
Now you can start developing your application.
What's Next?
Now you may continue with the following tasks:
- To convert models for use with OpenVINO, see Model Optimizer Developer Guide.
- See pre-trained deep learning models in our Open Model Zoo.
- Try out OpenVINO via OpenVINO Notebooks.
- To write your own OpenVINO™ applications, see OpenVINO Runtime User Guide.
- See sample applications in OpenVINO™ Toolkit Samples Overview.
Additional Resources
- Intel® Distribution of OpenVINO™ toolkit home page: https://software.intel.com/en-us/openvino-toolkit.
- For IoT Libraries & Code Samples see the Intel® IoT Developer Kit.
- Intel® Distribution of OpenVINO™ toolkit Anaconda home page: https://anaconda.org/intel/openvino-ie4py