OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Ilya Lavrenov 543ca4f318
Enabled proper OpenVINOConfig.cmake generation for static build (#8634)
* Enabled PDPD, TF on Windows

* Try to build samples against static libs

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* Used ENABLE_GAPI_PREPROCESSING in C API tests

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This reverts commit df9d53e3cc.

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* Enabled proper OpenVINOConfig.cmake generation

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2021-11-20 02:27:43 +03:00
.ci Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
.github [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
cmake Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
docs Typo fix in I420toRGB specification example (#8705) 2021-11-19 10:47:19 +00:00
inference-engine Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
licensing Update third party files (#8382) 2021-11-03 15:29:42 +03:00
model-optimizer Separated old_api_map into two attributes. (#8632) 2021-11-18 22:04:50 +03:00
ngraph Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
openvino Windows static (#8578) 2021-11-17 01:22:04 +03:00
runtime [Python API] Remove unused dependency on onnx_frontend (#8688) 2021-11-20 00:17:53 +03:00
samples Removed WA for CPU interpolate NHWC (#8686) 2021-11-19 11:38:06 +03:00
scripts [IE Sample Scripts] Use cmake to build samples (#8442) 2021-11-10 17:31:28 +03:00
tests Update README.md (#8638) 2021-11-17 12:51:53 +03:00
thirdparty Windows static (#8578) 2021-11-17 01:22:04 +03:00
tools fix: check int branch while find fqs_to_unify (#8661) 2021-11-19 15:21:27 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [POT] Added missed file to POT (#8118) 2021-10-21 11:28:26 +03:00
.gitmodules Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
CMakeLists.txt Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
CODEOWNERS CODEOWNERS: Add /tools/pot/ @openvinotoolkit/openvino-pot-maintainers 2021-11-02 13:55:02 +03:00
install_build_dependencies.sh Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
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README.md [README.md] change latest release to 2021.4.2 2021-11-16 22:12:20 +03:00
SECURITY.md Added SECURITY.md back (#3177) 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 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:

Support

Please report questions, issues and suggestions using:


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