OpenVINO is a comprehensive toolkit for developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel hardware, maximizing performance. OpenVINO enables CNN-based deep learning inference on the edge; supports heterogeneous execution across computer vision accelerators—CPU, GPU, Intel Movidius Neural Compute Stick, and FPGA—using a common API; and includes optimized calls for OpenCV and OpenVX.
The Khronos Group announces the ratification and the public release of the NNEF™ 1.0 (Neural Network Exchange Format) specification. After gathering feedback from the industry review of the provisional specification, Khronos releases NNEF 1.0 as a stable, flexible, and extensible open standard for hardware manufacturers to reliably deploy optimized, accelerated neural network inferencing onto diverse edge devices. Together with this release, an ecosystem of tools is now also available on GitHub, including an NNEF parser and converters from Tensorflow and Caffe. Importers into popular inferencing environments, including Android’s Neural Network API (NNAPI) and Khronos’ OpenVX™, are also being developed.
Khronos member Cadence Design Systems, and ArcSoft, announced they have partnered to develop AI and vision applications for Cadence Tensilica Vision DSPs. The OpenVX conformant Vision P6 DSP supports AI applications developed in the Caffe, TensorFlow and TensorFlowLite frameworks through the Tensilica Xtensa Neural Network Compiler, Android Neural Network API for on-device AI acceleration in Android-powered devices and includes complete, optimized support for more than 1,500 OpenCV-based vision and OpenVX 1.1 library functions.
Synopsys, Inc. announced a new release of its DesignWare ARC MetaWare EV Development Toolkit. The ARC MetaWare EV Development Toolkit offers a programming environment for the EV6x vision processor IP based on the OpenVX open standard API, with a C/C++ compiler and OpenCL C vectorizing compiler. The Toolkit includes OpenVX kernels optimized to run on EV6x Processors, the first hardware-software platform to successfully pass The Khronos Group’s OpenVX 1.2 conformance tests.
The Khronos™ Group is working with Au-Zone Technologies to enable NNEF™ (Neural Network Exchange Format) files to be easily used with leading machine learning training frameworks. NNEF enables the optimized ingestion of trained neural networks into hardware inference engines on a diverse range of devices and platforms. Au-Zone is working with the Khronos NNEF Working Group to implement two purpose-built bidirectional converters, between TensorFlow and NNEF and also Caffe2 and NNEF. Both converters are expected to be released as open source projects to the development community in Q3 2018 under the Apache 2.0 license.
The curriculum for the 2018 OpenVX Workshop at the Embedded Vision Summit in May has been finalized. The Khronos Group will be presenting a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. Khronos has developed a new curriculum making this a do-not-miss tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. The tutorials will be presented by speakers from Khronos member companies AMD, Axis Communications, Cadence and Codeplay. There will be hands-on practice sessions with the folks who created the OpenVX API to give participants a chance to solve real computer vision problems. Discussions will also include the OpenVX roadmap and what’s to come. Registration is now open but space is limited, so be sure not to wait too long.