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* ov2.0 IE samples modification apply code style turn off clang style check for headers order unify samples a bit add yuv nv12 reader to format_reader, helloe_nv112 sample hello_reshape_ssd ov2.0 * sync with PR 8629 preprocessing api changes * fix for slog << vector<int> * add operator<< for ov::Version from PR-8687 * Update samples/cpp/hello_nv12_input_classification/main.cpp Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com> * apply code style * change according to review comments * add const qualifier * apply code style * std::ostream for old inference engine version to make VPU plugin tests happy * apply code style * revert changes in print version for old api samples * keep inference_engine.hpp for not ov2.0 yet samples * fix merge artifacts * fix compilation * apply code style * Fixed classification sample test * Revert changes in hello_reshape_ssd sample * rebase to master, sync with PR-9054 * fix issues found by C++ tests * rebased and sync with PR-9051 * fix test result parsers for classification tests (except unicode one) * fix mismatches after merge * rebase and sync with PR-9144 Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com> Co-authored-by: antonrom23 <anton.romanov@intel.com>
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.