522ad39a48
* Do not run transformations for TF 2.X OD API models recursively (needed for models with Loop operation) * Added anchor front transformation to group all TF OD API transformations. Added new necessary dependencies from KerasRNN transformations related to While support * Added JSON configuration files for TF 2.4 OD API SSD and EfficientDet models * Updated documentation with table of supported TF 2.x OD API models * Improved visualization of the dependency graph * Updated version of the pre-processing transformation for TF 2.4 OD API models * Fixes in the TF 2.x OD API models conversion * Fixed order of applying mean/scale values for TF 2.X OD API pre-processing * Updates to the documentation * Fixes for the preprocessor block transformation for the TF OD API models * Added code comments * Fixed bom file * Unit tests for the TF 2.4 OD API ObjectDetectionAPIPreprocessor2Replacement transformation * Code cleanup * Updates to the documentation on how to convert TF OD API models and graph dumper * Added assert to make sure that operations in the `get_specific_ops_with_const_inputs` has exactly 2 inputs |
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| openvino | ||
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| 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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.