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.