Hello, I am trying to perform inference on ARM devices using the YOLOv8 model with the Arm Compute Library (ACL). Currently, I am able to provide a single image and obtain correct detections. My goal, however, is to achieve real-time inference, but I am unsure how to feed frames to the implementation. Based on the ACL documentation and examples I have reviewed, it seems the library only accepts files in npy, jpg, and ppm formats. I am new to this and would greatly appreciate any guidance on how to proceed.
npy
jpg
ppm
Thank you in advance!
Hello,
Thank you so much for your detailed response! I truly appreciate the time you took to explain everything. I’ll definitely explore the options you suggested.
Thanks again for your guidance!