Nikita Kudriavtsev a644cb85d2 [IE Myriad] Use instance of InferenceEngine::Core via ie::ICore interface in Myriad plugin (#1316)
* [ci-skip][IE Myriad] ie::ICore pointer passed into FrontEnd from plugin

* [ci-skip][IE Myriad] Added MockICore to fix graph transformer tests

* [ci-skip][IE Myriad] IN renamed to I_N to avoid compile error in Windows build: C2513: 'int': no variable declared before '='
2020-07-29 11:30:30 +03:00
2020-07-03 20:57:28 +03:00
2020-07-29 09:34:35 +02:00
2020-07-20 17:36:08 +03:00
2020-07-17 15:07:58 +03:00
2020-05-19 19:04:27 +03:00
2018-10-16 13:45:03 +03:00

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0

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 two components: namely Model Optimizer and Inference Engine, as well as CPU, GPU 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.

Documentation

How to Contribute

See CONTRIBUTING for details. Thank you!

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.

Languages
C++ 80.5%
Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%