To reduce the size of the model, I want to retrain the network with lower resolution of the disparity field.
I've already done this with the RAFT-Stereo network. However, when changing the corresponding parameter n_downsample from 2 to 3, the update_block throws a size mismatch error in this line.
It seems the cnet changes the resolution correctly, while the feature network keeps the original resolutions.
Can you supply a bugfix for this or describe, how you would change the network to allow different downsampling values?
To reduce the size of the model, I want to retrain the network with lower resolution of the disparity field. I've already done this with the RAFT-Stereo network. However, when changing the corresponding parameter
n_downsample
from 2 to 3, theupdate_block
throws a size mismatch error in this line.It seems the
cnet
changes the resolution correctly, while the feature network keeps the original resolutions.Can you supply a bugfix for this or describe, how you would change the network to allow different downsampling values?
Many thanks in advance!