OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
2021-12-03 16:00:55 +03:00
.ci Azure CI: Add apt update before install nfs-common (#8983) 2021-12-02 16:33:03 +03:00
.github Rename runtime to src (#8842) 2021-11-27 11:28:25 +03:00
cmake Export frontend_common as dev target 2021-12-03 16:00:55 +03:00
docs [GPU] Renamed GPU plugin to ov_intel_gpu_plugin (#8957) 2021-12-02 11:06:00 +03:00
inference-engine [CPU] ExperimentalDetectronTopKROIs dynamic done (#8922) 2021-12-03 09:56:44 +03:00
licensing Add licensing folder to cmake install (#8948) 2021-12-01 11:42:52 +03:00
model-optimizer [PYTHON API] move frontend bindings to pyopenvino + move MO to use new Python API (#8301) 2021-12-01 21:31:16 +03:00
samples Export frontend_common as dev target 2021-12-03 16:00:55 +03:00
scripts Rename runtime to src (#8842) 2021-11-27 11:28:25 +03:00
src Export frontend_common as dev target 2021-12-03 16:00:55 +03:00
tests Correct ReverseV2ToReverseSequence transformation (#8120) 2021-11-29 15:29:00 +03:00
thirdparty Add nlohmann json (Release 3.10.4) as submodule (#8915) 2021-12-02 10:41:36 +03:00
tools Revert "Add requirements files generation for installer (#8940)" (#8993) 2021-12-03 09:16:16 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore Removed temp from inference-engine folder, added OV_TEMP cmake option (#8667) 2021-11-24 08:37:26 +03:00
.gitmodules Add nlohmann json (Release 3.10.4) as submodule (#8915) 2021-12-02 10:41:36 +03:00
CMakeLists.txt Don't install content of openvino-dev; install wheels (#8820) 2021-12-01 14:34:50 +03:00
CODEOWNERS [GPU] Move plugin to new source dir (#8890) 2021-11-30 17:26:09 +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.