Pavel Esir
29193982d4
* inserted Convert to unsigned * moved declarations from hpp into cpp, specification corrected * added static const modifier * updated convert specification * minor corrections * split into 3 passes(Init, Propogate, Update), renamed final pass to ConvertNmsGatherPathToUnsigned * added description why transformation is needed * added matcher for several NMS versions, removed TRANSFORMATIONS_API macros from cpp * applied comments: - used GraphRewrite instead of FunctionPass - simplified some expressions - corrected case when Converts output goes to multiple nodes - added to MOC transformations - other minor corrections * removed redundant namespace prefixes * fixed #include <ngraph/pass/graph_rewrite.hpp> * removed matcher_scope, debug code, and redundant dynamic_cast
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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.