Ram Cherukuri, MathWorks
See how you can generate code from a trained deep neural network in MATLAB® for ARM® processors that support the Neon instruction set architecture (ISA) like the ARM Cortex®-A family. A demo shows pedestrian detection as an object detection application using deep learning on a Raspberry Pi™ 3 as the ARM target.
The generated code leverages the Compute Library, which is a collection of low-level software functions optimized for certain ARM architectures, targeting image processing, computer vision, and machine learning applications. The demo shows the neural network for pedestrian detection running on the Raspberry Pi 3 at 6 fps.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .Select web site
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.