I like YOLOv5 but the code complexity is...

I can't deny that YOLOv5 is a practical open-source object detection pipeline. However, the pain begins when adding new features or new experimental methods. Code dependencies are hard to follow which makes the code difficult to maintain. We wanted to try various experimental methods but hate to write one-time code that is never re-used.

So we worked on making an object detection pipeline to have a better code structure so that we could continuously improve and add new features while …

code complexity deeplearning