Arm Demonstration of Applications using CMSIS-NN and the Arm Compute Library

For more information about embedded vision, including hundreds of additional videos, please visit http://www.embedded-vision.com. Tim Hartley, Senior Product Manager at Arm, demonstrates the company’s latest embedded vision technologies and products at the March 2018 Embedded Vision Alliance Vision Industry and Technology Forum. Specifically, Hartley demonstrates various example applications built using Arm software development tools. CMSIS-NN provides a library of low level machine learning primitives targeting Arm Cortex®-M microcontrollers. Hartley shows an image classification demo based on this library, implementing CIFAR-10 to recognize a range of object types. The demo runs entirely on a single Cortex-M7 CPU. CMSIS-NN was open-sourced in January of 2018. The Compute Library provides low-level machine learning and computer vision primitives targeting Arm Cortex-A CPUs and Arm Mali® GPUs. Arm NN is an inference engine, providing a bridge between existing neural network frameworks like TensorFlow and Caffe and underlying hardware. Together, these libraries make the task of creating ML (machine learning) for platforms with these processor types significantly easier. Hartley shows an image classification demo built using this software. Both libraries are available open-source.