OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
2020-05-20 22:02:34 +03:00
.github/workflows Run pylint workflow on pull request events (#476) 2020-04-29 17:05:24 +03:00
cmake update TBB and VPU binary dependencies 2020-05-20 22:02:34 +03:00
inference-engine update TBB and VPU binary dependencies 2020-05-20 22:02:34 +03:00
model-optimizer publish master branch snapshot, revision 9df5eb1f84e13a35720a918f88324561222ab114 2020-05-20 01:13:06 +03:00
ngraph publish master branch snapshot, revision 9df5eb1f84e13a35720a918f88324561222ab114 2020-05-20 01:13:06 +03:00
scripts publish master branch snapshot, revision 49482ae3bea0cbaa07474f86f36db11943142687 2020-05-13 21:12:22 +03:00
tests publish master branch snapshot, revision 9df5eb1f84e13a35720a918f88324561222ab114 2020-05-20 01:13:06 +03:00
tools publish master branch snapshot, revision 49482ae3bea0cbaa07474f86f36db11943142687 2020-05-13 21:12:22 +03:00
.gitattributes Publishing R3 2018-10-16 13:45:03 +03:00
.gitignore publish master branch snapshot, revision 9df5eb1f84e13a35720a918f88324561222ab114 2020-05-20 01:13:06 +03:00
.gitmodules remove ngraph submodule 2020-05-20 00:20:33 +03:00
azure-pipelines.yml Azure: disable IE_Lin 2020-05-20 13:15:07 +03:00
build-instruction.md publish master branch snapshot, revision 59af1853ca21ea08acf17b177da0b239753deb46 2020-05-18 17:21:58 +03:00
CMakeLists.txt publish master branch snapshot, revision 9df5eb1f84e13a35720a918f88324561222ab114 2020-05-20 01:13:06 +03:00
CODEOWNERS Update CODEOWNERS 2020-05-19 14:42:35 +03:00
CONTRIBUTING.md Create CONTRIBUTING.md 2020-05-19 19:04:27 +03:00
get-started-linux.md Publishing 2020.1 content 2020-02-11 22:48:49 +03:00
install_dependencies.sh Publishing 2020.1 content 2020-02-11 22:48:49 +03:00
Jenkinsfile publish master branch snapshot, revision cdcab9d7ab48ffb0ee5629fabbfa06cb45debd9b 2020-04-15 19:01:57 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md Update How to Contribute 2020-05-19 19:08:14 +03:00

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0

This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.

This open source version includes two components: namely Model Optimizer and Inference Engine, as well as CPU, GPU 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 Caffe*, TensorFlow*, MXNet* and ONNX*.

Repository components:

License

Deep Learning Deployment 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.

Documentation

How to Contribute

See CONTRIBUTING for details. Thank you!

Support

Please report questions, issues and suggestions using:


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