* Squash commits: JsonConfig/JsonTranformation/DecoderTransformation extensions, Unit tests, pybindings * Call transformation_extensions in convert_partially method * fix codestyle * move json extensions to offline transformations * Fix unit tests * fix cmake files * Refactor JsonConfig extensions and FrontEnds * Update python bindings * Add missing files * correct mkl hash * fix conflicts with master branch * Resolve review comments * Revert local changes * code style * Add lib destinations * fix cmake * correct nlohmann_json hash * FunctionPass to ModelPass * fix unit tests and pyopenvino * fix pyopenvino * resolve review comments * revert local change * Fix dynamic Win build * Try to fix linux builds * Fix Lin build: set correct lib directory * Resolve review commets * code style * resolve review comments * ubuntu20 issue investigation: temporary disable LTO for frontends * ubuntu20 issue investigation: temporary disable LTO for unit tests * ubuntu20 issue investigation: temporary disable LTO for thirdparty and core parts * Revert "ubuntu20 issue investigation: temporary disable LTO for thirdparty and core parts" This reverts commit |
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inference-engine | ||
licensing | ||
samples | ||
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src | ||
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thirdparty | ||
tools | ||
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CMakeLists.txt | ||
CODEOWNERS | ||
install_build_dependencies.sh | ||
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LICENSE | ||
README.md | ||
SECURITY.md |
OpenVINO™ Toolkit
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
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ 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.