* Commit. * Started to write nGraph operation ExperimentalDetectronDetectionOutput. Written draft of the header file. * Written draft of the cpp-file for nGraph operation ExperimentalDetectronDetectionOutput. * Small fix. * Added reading of ExperimentalDetectronDetectionOutput as nGraph operation. * Some fix. * Unregistered old shape infer function of the operation ExperimentalDetectronDetectionOutput. * Written the header file for the operation ExperimentalDetectronPriorGridGenerator. * Small refactoring. * Small fix. * Added set_output_size(3) into op::ExperimentalDetectronDetectionOutput::validate_and_infer_types(). * Added check for number of inputs of ExperimentalDetectronDetectionOutput. * Reverted some changes. * Changed IR for ExperimentalDetectronDetectionOutput serialization test. * Written cpp-file of nGraph operation ExperimentalDetectronPriorGridGenerator. * Small fix. * Some fixes. * Fixes in type and shape infer functions of the MO operation ExperimentalDetectronDetectionOutput. * Now ExperimentalDetectronPriorGridGenerator is readed as nGraph operation. * Fixed the infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator. * Started to write tests for the shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput. * Written the draft of the test for the shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput. * Small fix. * Fixed ngraph/test/CMakeLists.txt. * Started to write tests for the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator. * Now the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator performs correctly case dynamic input shapes with static ranks. * Continued to write test for the nGraph operation ExperimentalDetectronPriorGridGenerator. * Small fixes. * Written tests for the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator (case when input shapes are partially dynamic). * Added test for reading ExperimentalDetectronDetectionOutput as an operation from opset6. * Some fixes. * Added some debug outputs. * Deleted inserted debug output. * Small fixes. * Small fix. * Small fix. * Small change. * Added comments to attributes of ExperimentalDetectronDetectionOutput. * Reverted changes. * Deleted shape infer for output port 3. * Small fixes. * Deleted redundant keyword 'virtual'. * Deleted redundant usings in header files of nGraph operations ExperimentalDetectronDetectionOutput and ExperimentalDetectronPriorGridGenerator. * Some fixes. * Small change. * Now GridGenerator::validate takes three args (input partial shapes). * Small fix. * Deleted some usings. * Small code style fix. * Reverted changes in validate_and_infer_types() and validate() of op::v6::ExperimentalDetectronPriorGridGenerator. * Added description of the class ExperimentalDetectronDetectionOutput. * Added some comments into the header file of the nGraph operation ExperimentalDetectronPriorGridGenerator. * Some fixes. * Added some comments to the class of the nGraph operation ExperimentalDetectronPriorGridGenerator. * Now the MO operation ExperimentalDetectronDetectionOutput has the attribute 'version' as 'opset6'. * Now the MO operation ExperimentalDetectronPriorGridGenerator has the attribute 'version' as 'opset6'. * Some fixes in the MO class ExperimentalDetectronDetectionOutput. * Fixes in the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator. * Renamed test XML model for ExperimentalDetectronDetectionOutput serialization tests. * Added validation of input shapes for the nGraph operation ExperimentalDetectronDetectionOutput. * Small fixes in the XML models for serialization testing of ExperimentalDetectronDetectionOutput. * Added tests of shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput for the case when input shapes are partially dynamic. * Added tests of shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput for the case when some input shapes have dynamic ranks. * Small fixes. * Small fix in the MO operation ExperimentalDetectronDetectionOutput shape infer function. * Fixes in op::v6::ExperimentalDetectronDetectionOutput::validate_and_infer_types(). * Code style fix. * Small refactoring. * Added NGRAPH_OP_SCOPE into ExperimentalDetectronDetectionOutput nGraph class. * Added NGRAPH_OP_SCOPE to the nGraph class ExperimentalDetectronPriorGridGenerator. * Small fixes. * Some refactoring. * Small fix. * Small fixes. * Reverted some changes in ExperimentalDetectronDetectionOutput::validate_and_infer_type(). * Now VPU reads the attribute class_agnostic_box_regression of ExperimentalDetectronDetectionOutput as Bool. * Now MO generates attribute 'class_agnostic_box_regression' of ExperimentalDetectronDetectionOutput only with values false or true. * Small fix. * Tabs were replaced by spaces in some XMLs. * Fixed copyrights. * Refactoring in op::v6::ExperimentalDetectronDetectionOutput::validate_and_infer_types(). * Refactoring in op::v6::ExperimentalDetectronPriorGridGenerator::validate_and_infer_types(). * Small fixes. * Started to write ExperimentalDetectronPriorGridGenerator shape infer tests for the case when dynamic input dimensions are intervals. * Deleted redundant 'return'. * Written tests for interval values of input shapes of op::v6::ExperimentalDetectronPriorGridGenerator. * Code style fix. * Code style fix.
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 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
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ 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.