OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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iliya mironov e1bffcc36c
Add json validate (#6449)
* Add json validate

* Fix json schema

* Fix schema loader

* Add unit test

* Update bom file

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* Update requrments

* Update path to schema

* Update schema

* Add some unit tests

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* Update schema path in bom file

* Fix unit test

* Fix bom

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* Fix setup

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* Refactoring some code

* Refactoring according to review

* Update sort imports

* Remove id attribute from schema

* Refactoring validator

* Fix according to review

* Move schema from json to dict. Update unit tests.

* Fix BOM file

* Update bom file
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OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch)

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.