OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Bell/release resource (#9222)
* recycle helper resources when hw is ready

Signed-off-by: fishbell <bell.song@intel.com>

* use cv to avoid additional while loop

Signed-off-by: fishbell <bell.song@intel.com>

* refine the logic

Signed-off-by: fishbell <bell.song@intel.com>

* fix potential threading issue

Signed-off-by: fishbell <bell.song@intel.com>

* refine logic

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* avoid using global var

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* clean up code

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* refine

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* release helper network/plugin also

Signed-off-by: fishbell <bell.song@intel.com>

* lock when release, avoid double release in destructor

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* formatting

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* add test case

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* add case coverage

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* move the task

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* remove uncessary lock

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2022-01-11 19:41:17 +03:00
.ci [Python API] Move wheel folder to the python dir (#9125) 2022-01-11 16:55:18 +03:00
.github [Python API] Move wheel folder to the python dir (#9125) 2022-01-11 16:55:18 +03:00
cmake [GNA] Fixed symbolic links in tarball (#9545) 2022-01-11 16:22:28 +03:00
docs [OV2.0] Preprocessing: support convert HWC->NCHW layout (#9540) 2022-01-11 13:13:37 +03:00
inference-engine [Python API] Move wheel folder to the python dir (#9125) 2022-01-11 16:55:18 +03:00
licensing Export frontend_common as dev target (#9003) 2021-12-08 17:18:44 +03:00
samples Compiled network loading is fixed (#9547) 2022-01-10 23:37:46 +03:00
scripts Clean up setupvars scripts (#9410) 2021-12-29 17:57:56 +03:00
src Bell/release resource (#9222) 2022-01-11 19:41:17 +03:00
tests Change omz model (#9551) 2022-01-11 10:56:50 +03:00
thirdparty [OMZ]: update submodule (#9472) 2021-12-29 13:48:59 +00:00
tools Fixed conversion of some models with (I)DFT when a layer immediately before (I)DFT is a producer for Result (#9489) 2022-01-11 15:20:24 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore Feature/azaytsev/from 2021 4 (#9247) 2021-12-21 20:26:37 +03:00
.gitmodules [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +03:00
CMakeLists.txt Remove ngraph backends (#9162) 2021-12-13 00:04:56 +03:00
CODEOWNERS [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +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.