Dmitry Frumkin

The way I see it, for a fixed known camera (or class of cameras), you could get _some_ idea of what is near, far, or in between. This network works...

@akashAD98 A simplistic approach would be to combine segmentation with depth, compute the average depth for the mask and thus decide how far it is. The result would still be...

I opened an issue about this 3 months ago and have not received a response... https://github.com/intel-isl/MiDaS/issues/73

@bigtree2020 It's a pytorch thing, unrelated to MiDaS; see, for example, https://discuss.pytorch.org/t/swap-axes-in-pytorch/970.