Hi.
I’m trying to learn about this algorithm, but any tutorial that i’ve read is like “YOLO is dividing  image on SxS grid, where each cell is responsible for detecting an object…” it explains nothing to me.
How this algorithm is predicting boundry boxes which are larger than one grid cell?
Does it concatenate somehow those grid cells that are adjacent and predicting same class object?
I’ll be thankfull for good learning resources