0166cb8f5c
* Initial commit for integration * Apply latest updates * Update ie_engine for multi input models * Update reference, pylint fixed, method replacement * Change for AC 2.0 support * Update aac_engine with raw data processing * Update for pylint * Update model utils * Disable pylint check * Update ac_engine with the processing * Using tensor names instead of friendly names * Tensor names for all statistics * BiasCorrection with tensor names * Remove debug info usage * Fix for sequential stats * Fix for the scalar stats * Update with comments * Update tests & builder * Update tests (cherry picked from commit 5022ce4a4fac230ac11db68f14cd58971fe9b2a2) * Executable_model -> compiled_model (cherry picked from commit 0d447ff4917f764df76d9c0c0068277e5e090f3b) * Update with PartialShapes for reshape * Update async mode * Update refs * Update BC Parameter dtype * Update simplified with inferqueue * Disable ssd512 nightly * BC renaming * Revert OMZ commit * Update references * Update BC algo with the parameter selection * Update AC config filter * Pylint fixes * Update async data * Update pylint for ie_engine * Update ie_engine * Revert refs changes (cherry picked from commit 4d3530216b3d79c33c3437a7dfcc1140693320c8) * Update OMZ submodule
OpenVINO™ Toolkit
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:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ 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.