README.md

   1 # [OpenVINO™ Toolkit](https://01.org/openvinotoolkit) - Deep Learning Deployment Toolkit repository
   2 [![Stable release](https://img.shields.io/badge/version-2021.1-green.svg)](https://github.com/openvinotoolkit/openvino/releases/tag/2021.1)
   3 [![Apache License Version 2.0](https://img.shields.io/badge/license-Apache_2.0-green.svg)](LICENSE)
   4 ![Azure DevOps builds (branch)](https://img.shields.io/azure-devops/build/openvinoci/b2bab62f-ab2f-4871-a538-86ea1be7d20f/9/master?label=Public%20CI)
   5
   6 This toolkit allows developers to deploy pre-trained deep learning models
   7 through a high-level C++ Inference Engine API integrated with application logic.
   8
   9 This open source version includes two components: namely [Model Optimizer] and
  10 [Inference Engine], as well as CPU, GPU and heterogeneous plugins to accelerate
  11 deep learning inferencing on Intel® CPUs and Intel® Processor Graphics.
  12 It supports pre-trained models from the [Open Model Zoo], along with 100+ open
  13 source and public models in popular formats such as Caffe\*, TensorFlow\*,
  14 MXNet\* and ONNX\*.
  15
  16 ## Repository components:
  17 * [Inference Engine]
  18 * [Model Optimizer]
  19
  20 ## License
  21 Deep Learning Deployment Toolkit is licensed under [Apache License Version 2.0](LICENSE).
  22 By contributing to the project, you agree to the license and copyright terms therein
  23 and release your contribution under these terms.
  24
  25 ## Documentation
  26 * [OpenVINO™ Release Notes](https://software.intel.com/en-us/articles/OpenVINO-RelNotes)
  27 * [OpenVINO™ Inference Engine Build Instructions](build-instruction.md)
  28 * [Get Started with Deep Learning Deployment Toolkit on Linux](get-started-linux.md)\*
  29 * [Introduction to Deep Learning Deployment Toolkit](https://docs.openvinotoolkit.org/latest/_docs_IE_DG_Introduction.html)
  30 * [Inference Engine Developer Guide](https://docs.openvinotoolkit.org/latest/_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide.html)
  31 * [Model Optimizer Developer Guide](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
  32 * [Get Started with DockerHub CI for OpenVINO™ toolkit](https://github.com/openvinotoolkit/docker_ci/blob/master/README.md)
  33
  34 ## How to Contribute
  35 See [CONTRIBUTING](./CONTRIBUTING.md) for contribution to the code.
  36 See [CONTRIBUTING_DOCS](./CONTRIBUTING_DOCS.md) for contribution to the documentation.
  37 Thank you!
  38
  39 ## Support
  40 Please report questions, issues and suggestions using:
  41
  42 * The [`openvino`](https://stackoverflow.com/questions/tagged/openvino) tag on StackOverflow\*
  43 * [GitHub* Issues](https://github.com/openvinotoolkit/openvino/issues)
  44 * [Forum](https://software.intel.com/en-us/forums/computer-vision)
  45
  46 ---
  47 \* Other names and brands may be claimed as the property of others.
  48
  49 [Open Model Zoo]:https://github.com/opencv/open_model_zoo
  50 [Inference Engine]:https://software.intel.com/en-us/articles/OpenVINO-InferEngine
  51 [Model Optimizer]:https://software.intel.com/en-us/articles/OpenVINO-ModelOptimizer
  52 [tag on StackOverflow]:https://stackoverflow.com/search?q=%23openvino