* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Added Intel® Iris® Xe Dedicated Graphics, naming convention info (#3523)
* Added Intel® Iris® Xe Dedicated Graphics, naming convention info
* Added GPU.0 GPU.1
* added info about Intel® Iris® Xe MAX Graphics drivers
* Feature/azaytsev/transition s3 bucket (#3609)
* Replaced https://download.01.org/ links with https://storage.openvinotoolkit.org/
* Fixed links
# Conflicts:
# inference-engine/ie_bridges/java/samples/README.md
* Benchmarks 2021 2 (#3590)
* Initial changes
* Updates
* Updates
* Updates
* Fixed graph names
* minor fix
* Fixed link
* Implemented changes according to the review changes
* fixed links
* Updated Legal_Information.md according to review feedback
* Replaced Uzel* UI-AR8 with Mustang-V100-MX8
* Feature/azaytsev/ovsa docs (#3627)
* Added ovsa_get_started.md
* Fixed formatting issues
* Fixed formatting issues
* Fixed formatting issues
* Fixed formatting issues
* Fixed formatting issues
* Fixed formatting issues
* Fixed formatting issues
* Updated the GSG topic, added a new image
* Formatting issues fixes
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* Revert "Formatting issues fixes"
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.ci | ||
.github | ||
cmake | ||
docs | ||
inference-engine | ||
licensing | ||
model-optimizer | ||
ngraph | ||
openvino | ||
scripts | ||
tests | ||
tools | ||
.gitattributes | ||
.gitignore | ||
.gitmodules | ||
CMakeLists.txt | ||
CODEOWNERS | ||
install_build_dependencies.sh | ||
Jenkinsfile | ||
LICENSE | ||
README.md | ||
SECURITY.md |
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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 several components: namely Model Optimizer, ngraph and Inference Engine, 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 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.
Resources:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ 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.