1d3df63d64
* Written reference implementation of the operation ExperimentalDetectronROIFeatureExtractor. * Small fixes. * Started to write tests for evaluation of the operation ExperimentalDetectronROIfeatureExtractor. * Written test for evaluation of the nGraph operation ExperimentalDetectronROIFeatureExtractor. * Some changes. * Added debug prints to evaluates.map. * Added more debug prints. * Added another debug prints. * Added more debug prints. * Added more debug prints. * Added more debug prints. * Inserted additional static_casts. * Added more static_casts. * Commented some debug prints. * Some reversion. * Deleted some debug prints. * Deleted some debug prints. * Deleted more debug prints. * Added some casts and debug prints. * Some changes. * Small changes. * Some changes. * Added png files. * Small changes. * Code style fixes. * Code style fixes. * Rewritten some auxiliary functions. * Corrected the body of the function experimental_detectron_roi_feature_extractor(). * Some code style fixes. * Code style fixes. * Small code style fixes. * Commented one debug print. * Small changes. * Added some debug print. * Small changes. * Added more debug prints. * Small fixes. * Added more debug prints. * Commented some code. * Indexing operation [] was replaced by .at() method in the function pre_calc_for_bilinear_interpolate(). * Deleted unneeded variables w1, w2, w3, w4. * Deleted variable xx. * Added GCC pragma before the function pre_calc_for_bilinear_interpolate(). * Fixes in macros. * Fixed pragma before the function pre_calc_for_bilinear_interpolate(). * Deleted some debug prints. * Deleted more debug prints and fixed some code style issues. * Deleted redundant assert. * Deleted redundant assert in the function split_points(). * Started to move tests for nGraph reference implementation of ExperimentalDetectronROIFeatureExtractor to template plugin. * Enabled test INTERPRETER.onnx_model_experimental_detectron_roi_feature_extractor. * Deleted backend tests for the reference nGraph implementation of the operation ExperimentalDetectronROIFeatureExtractor. * Deleted commented code. * Fixed typo. * Some fixes. * Some fixes. * Some fixes. * Some fixes. * Some fixes. * Renamed the function that calculates ROIAlign. * Deleted redundant usings. * Now input shapes are parameters of test. * Small fix. * Now element type is also test parameter. * Deleted some commented code. * Added test for float16 case. * Small fix. * Added test for bfloat16 case. * Deleted redundant parameters of tests. * Deleted commented code. * Deleted redundant structure. * Small fix. * Some reverting.
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:
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