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* auto-batching- bare min of the info * renaming BATCH.MD to the automatic_batching.md, also aligned the link to the new naming convention * more info and brushed * added openvino_docs_OV_UG_Automatic_Batching to the main TOC * Apply suggestions from code review Co-authored-by: Tatiana Savina <tatiana.savina@intel.com> * close on the comments, added the code examples * Apply suggestions from code review Co-authored-by: Tatiana Savina <tatiana.savina@intel.com> * Update example * Update format * Update docs format * added couple of more perf considerations * more code examples * Apply suggestions from code review * Apply the rest from code review * Update header Co-authored-by: Tatiana Savina <tatiana.savina@intel.com> |
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OpenVINO™ Toolkit
This toolkit allows developers to deploy pre-trained deep learning models through a high-level OpenVINO™ Runtime C++ and Python APIs integrated with application logic.
This open source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, 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 TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.
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
- Docs: https://docs.openvino.ai/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ toolkit modules: https://github.com/openvinotoolkit/openvino_contrib
- Intel® Distribution of OpenVINO™ toolkit Product Page
- Intel® Distribution of OpenVINO™ toolkit Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.