OpenVINO™ Toolkit

This toolkit allows developers to deploy pre-trained deep learning models through a high-level OpenVINO™ Runtime C++ and Python APIs integrated with application logic.

This open source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

Repository components

• OpenVINO™ Runtime
• Model Optimizer
• Post-Training Optimization Tool
• Samples

License

OpenVINO™ Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Resources

• Docs: https://docs.openvino.ai/
• Wiki: https://github.com/openvinotoolkit/openvino/wiki
• Issue tracking: https://github.com/openvinotoolkit/openvino/issues
• Storage: https://storage.openvinotoolkit.org/
• Additional OpenVINO™ toolkit modules: https://github.com/openvinotoolkit/openvino_contrib
• Intel® Distribution of OpenVINO™ toolkit Product Page
• Intel® Distribution of OpenVINO™ toolkit Release Notes

Support

Please report questions, issues and suggestions using:

• The openvino tag on StackOverflow*
• GitHub* Issues
• Forum

---

* Other names and brands may be claimed as the property of others.