Dear ACL Development Team,
I am currently working on performing inference on ARM devices using an object detection model with the Arm Compute Library (ACL). I have successfully implemented inference for single images, obtaining correct detections.
From the ACL documentation and examples I have reviewed, it appears the library only supports input files in formats like npy, jpg, and ppm. I am looking to implement real-time inference by feeding frames directly from a camera. Could you please let me know if there is a recommended approach or any existing functionality in ACL to achieve this?
Additionally, I have been exploring the ACL source code and am very interested in working further with it. Any guidance or resources you could provide would be greatly appreciated.
Thank you for your time and support.
Best regards, Darshan B Y