Dmitry PigasinandKate Generalova
b2abf25218
* Upload python speech sample draft * Add function doc strings * Add the ability to save results to a file * Add a plugin configuration for GNA to get better accuracy * Add errors calculation (comparison with a reference) * Fix flake8 issues * Add ability to run in hetero mode * Add ability to load and save numpy format files (.npz) * Add an error for wrong file extensions & update help message * Add import and export GNA model options * Add -we option to export embedded gna model * Add readme * Add -oname command line option (Layer names for output blobs) * Add -iname command line option (Layer names for input blobs) * Add info about -iname option to README.md * doc: update readme, fix style * Add a state reset between inferences * add reset API to speech README * doc: remove extra output from README * remove onnx and TODO, format output * Add an else branch to the if statement that checks a utterance data type * Add dummy data for inference if a number of vectors < batch size * Split the sample into separte files Co-authored-by: Kate Generalova <kate.generalova@intel.com>
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*.
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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
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