2e6ea1e290
* [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [nGraph] Python API should be compiled and installed via CMake (41857) * Refactored wheel setup script to build module using CMake * Update build instructions * Added USE_SOURCE_PERMISSIONS to cmake install * Adjust CMake compiler flags conditions * fix CPack issue for CI build pipeline * case insensitive option check * build only python API if ngraph_DIR provided * fix lib extension for macOS * -fixed style (flake8) -added paralllel build option & description * fix flake8 B006 check * add ngraph_DIR & remove unsed env. variables. * Reworked build & test instructions to make it more straightforward * remove unused CMake arguments for setup.py * make source dir condition more general * Update BUILDING.md * Update BUILDING.md * Update BUILDING.md * beautified instructions wording * fix wheel build issue after sourcing setupvars * Extend user options to build, install and develop commands Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ 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.