* Rework model loading in FE manager, implement PDPD probing * Fix build * Fix build * Fix build * Fix unicode * Fix merge issues * Fix codestyle * Read frontends path from frontend_manager library location * Fix codestyle * Fix FE dependency * Fix dependencies * Fix codestyle * Check if model file exists * Revert adding model to lfs * Add test model * Fix cmake dependencies * Apply review feedback * Revert pugixml * make getFrontendLibraryPath not public API * Fix codestyle * Apply fix from Ilya Lavrenov * Add FE dependency in legacy tests * Remove not needed dependency * Better support Unicode * Fix build * Fix build * Fix build * Add dependency foe deprecated tests * Fix dependency * Fix typo * Revert adding FE dependency to IESharedTests * Remove relative paths from frontend unit tests * Apply review feedback * Fix typo * Return allow-undefined, since kmb dependecies fail to link * Fix merge conflict * Compare functions in reader tests * Simplify code to load from variants * Remove supported_by_arguments from public api * Fix codestyle * Fix build * Compare names in reader tests * Fix wchar in variant Co-authored-by: Ilya Churaev <ilya.churaev@intel.com> |
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model-optimizer | ||
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openvino | ||
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tools | ||
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CODEOWNERS | ||
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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.