Liubov Talamanova ca09ddd123 [POT] Implement DataFreeEngine (#9484)
* [POT] Implement DataFreeEngine

* Add CLI

* Updated CLI

* Moved logic to SynteticImageLoader

* Fix bug with draw modes

* Fix bug in DataFreeEngine

* Fix multiprocessing

* Fix pylint

* Add DataFreeEngine test

* Download models

* Fill background

* Fix test

* Fix args

* Support config option for DataFree mode

* Minor fixes

* Add data_free config

* Add more test cases

* Enable RCNN models quantization
2022-02-01 15:15:20 +03:00
2022-02-01 13:12:12 +03:00
2021-05-31 15:24:56 +03:00
2018-10-16 13:45:03 +03:00
2022-01-27 19:39:49 +03:00
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.

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

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