* Try to fix Windows Azure * Try static MSVC runtime * Fixed type * cnpy * Rename * Set CMAKE_MSVC_RUNTIME_LIBRARY * Fixed issues with oneDNN * Removed IB * Minimize a number of threads * Increase image size to avoid test failures on some platforms There is an assert 'length >= nlanes' and 'nlanes' value depends on machine architecture Set 320x320 test image to guarantee that image size >= nlanes Also increased image size for 'plugin shared tests' to ensure the same (even though tests do not work with legacy preprocessing) * Descreased to 160x160 * Specify toolchain for samples * Build samples and its tests even for static build * Used 3.21 to enable CMAKE_TOOLCHAIN_FILE env var usage * Fixed cmake download path * Set CMAKE_TOOLCHAIN_FILE conditionally * Fix Co-authored-by: Michael Nosov <mikhail.nosov@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*.
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.