b25d4ab065
* Remove 49 operators from layer creator * Remove debug code * Add specificCreator for deconvolution * add specificCreator for logical not * Fix concat creator behavior for negative axis * add creator for TopK, overrides for visit_attribute methods * remove layerCreator templates for removed ops * Disable exception check for Deconvolution and TopK * add specificCreator for stridedSlice * add specificCreator for DetecionOutput * resolve conflict with batchNormInference changes * fix detection output visit_attributes for some of the bools * Remove Ceiling from LayerCreator * Change detectionOutput param validation to expect bool instead of uint * detectionOutput specificCreator to set bool params as int strings * Add vector of integer value accessor handling to xml deserializer. * Fix indentation
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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
- OpenVINO™ Release Notes
- OpenVINO™ Inference Engine Build Instructions
- Get Started with Deep Learning Deployment Toolkit on Linux*
- Introduction to Deep Learning Deployment Toolkit
- Inference Engine Developer Guide
- Model Optimizer Developer Guide
- Get Started with DockerHub CI for OpenVINO™ toolkit
How to Contribute
See CONTRIBUTING for contribution to the code. See CONTRIBUTING_DOCS for contribution to the documentation. Thank you!
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.