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!
Hi there, thanks for asking a question. Please look at the list of Forums here and let me know where best to move your question to. Many thanks.Support forums
Hello, thank you for your prompt response. I believe this question is best suited for the AI and ML forum.