OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Ilya Churaev 0f3c10c810
Infer request api (#7962)
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Co-authored-by: y <ilya.lavrenov@intel.com>
2021-10-20 22:08:55 +03:00
.ci Fix coverity linux pipeline (#7879) 2021-10-07 22:00:39 +03:00
.github [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
cmake Fixed ENABLE_NCC_STYLE condition (#8092) 2021-10-20 09:01:59 +03:00
docs Infer request api (#7962) 2021-10-20 22:08:55 +03:00
inference-engine Infer request api (#7962) 2021-10-20 22:08:55 +03:00
licensing [Speech sample] Added numpy array support (#5479) 2021-06-03 12:22:06 +03:00
model-optimizer [MO] allow zero size dimensions in Slice output (#7791) 2021-10-20 13:16:06 +03:00
ngraph Infer request api (#7962) 2021-10-20 22:08:55 +03:00
openvino Added OpenVINO runtime macro (#7586) 2021-09-23 10:39:20 +03:00
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samples [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
scripts [IE Sample Scripts] Change omz tool calls (#7717) 2021-10-19 11:49:42 +03:00
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tools [GPU] Add separate config for each device (#7421) 2021-10-19 16:51:38 +03:00
.gitattributes Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
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CMakeLists.txt [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
CODEOWNERS CODEOWNERS: Remove openvino-admins from scripts 2021-10-05 09:41:01 +03:00
install_build_dependencies.sh Added reporting of unresolved symbols for plugins (#7810) 2021-10-05 04:26:01 +03:00
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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.