Performance and efficiency
When compared to existing open-source alternatives, the Arm Compute Library provides a much more comprehensive set of functions as well as superior performance – out of the box.
It is a useful tool that can significantly reduce cost and effort for developers targeting image processing, computer vision and machine learning applications – enabling them to focus on differentiation, and reduce their products' time-to-market.
The Arm Compute library is mature and tested, has already been utilized by several embedded, consumer and mobile silicon vendors and OEMs to improve their products, as well as a many ISVs across the globe. Common use-cases include 360-degree camera panoramic stitching, computational camera, virtual and augmented reality, segmentation of images, feature detection and extraction, image processing, tracking, stereo and depth calculation, and many machine learning based algorithms.
The library is operating-system agnostic and has been deployed on a broad variety of modern Linux and Android Arm-based system-on-chip platforms.