OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
2021-11-23 17:22:33 +03:00
.ci Added samples smoke tests (#1102) 2021-11-23 17:09:11 +03:00
.github Changed owners of python dependencies (#8700) 2021-11-22 13:35:47 +03:00
cmake Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
docs Convert pad_val to Parameter in ReferencePadTestNonConst... test (#8760) 2021-11-23 16:32:50 +03:00
inference-engine [CPU] Added dynamism support for ShuffleChannels (#8601) 2021-11-23 17:22:33 +03:00
licensing Update third party files (#8382) 2021-11-03 15:29:42 +03:00
model-optimizer [MO] Fix fetching output Place in moc_frontend (#8431) 2021-11-23 14:40:57 +01:00
ngraph [TF FE] Operations refactoring (#8477) 2021-11-23 13:14:29 +03:00
openvino Windows static (#8578) 2021-11-17 01:22:04 +03:00
runtime Support NonConst pads_begin and pads_end in Pad op (#8697) 2021-11-23 09:27:37 +03:00
samples Added samples smoke tests (#1102) 2021-11-23 17:09:11 +03:00
scripts Move fast run scripts for samples to samples folder (#8725) 2021-11-22 12:52:05 +03:00
tests Added samples smoke tests (#1102) 2021-11-23 17:09:11 +03:00
thirdparty [GPU] Fix multi configuration build of onednn_gpu (#8743) 2021-11-23 00:22:05 +03:00
tools [POT] Added typecast while nodes updating & creation (#8621) 2021-11-23 17:13:04 +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
Jenkinsfile Beautify Jenkinsfile a little bit 2021-05-31 15:24:56 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
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.