I have this simple piece of code that iterates through a list of 12,000 detection results (from a YOLOv8 detection model) and performs some processing on them. I’ve already applied a few optimization techniques, such as pre-allocating vectors for efficiency and only looping through non-zero confidence rows. However, the code is still too slow for my use case.