Ilya Lavrenov 4ad20fb53f Use system dependencies (#11419)
* Try to improve gflags

* Try to improve gflags: part 2

* Tried to use dependencies on system

* Use nlohmann_jsonConfig from system

* Enabled nlohmann_json from system

* Improvements

* handle system gflags in developer package

* Simplifications

* Simplify dependency management

* Corrected package names

* Fixed subgraphsDumper configure stage

* Try to fix rhel8

* Try to fix macosx

* Fixed VPUX build

* Fixed aliasing issues

* Suppress some wanrings

* export gflags when build it

* Fixed some LTO

* Try to fix Mac

* revert

* use gflags as private dependency

* Aligned targets in developer package

* Fixed frontends tests build on U20 with LTO

* PAssed

* Don't use pkg_search_module(zlib ..) during cross-compilation

* Removed unused variables

* Fixed finding of zlib during cross-compilation
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2018-10-16 13:45:03 +03:00
2020-11-17 16:44:44 +03:00

OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch) PyPI Downloads

This toolkit allows developers to deploy pre-trained deep learning models through a high-level OpenVINO™ Runtime C++ and Python APIs integrated with application logic.

This open source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, 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 TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

Repository components

License

OpenVINO™ 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

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.

Languages
C++ 80.5%
Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%