9e519946f0
* Add nlohmann json (Release 3.10.4) as submodule * Move nlohmann_json lib to json folder, add json_schema validator lib as submodule * Move BUILD_SHARED_LIBS flag to a separete scope * Add export of nlohmann_json_schema_validator * Fix build * set folder thirdparty * link lib to offline_transformations and benchmark_app * suppress shadowing names warning in nlohmann_json lib * fix include in benchmark_app * Resolve review comments: add json subdirs to samples cmake * Fix static build * Proper json integration * removed cpp_samples_deps component Co-authored-by: Ivan Tikhonov <ivan.tikhonov@intel.com> |
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| inference-engine | ||
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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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.