where kind of mix those features together at different possible disparities and then we regularize the cost volume with 3d convolutions and then we we pick a winner so this this worked really well but I'll kind of give a couple of caveats the first caveat is it ran at one frame per second on a Titan X GPU which meant like obviously we can't use it it's orders of magnitude off and the second caveat is that frankly the the kitty data said or really like my experience any self-driving data set that I've seen are are incredibly easy