Error rate tested different with the results of jzbontar about mc-cnn HOT 2 OPEN

I solved the problem.
In main.lua file, change

vols = torch.CudaTensor(2, disp_max, x_batch:size(3), x_batch:size(4)):fill(0 / 0)
vol = torch.CudaTensor(1, disp_max, output:size(3), output:size(4)):fill(0 / 0)

to
vols = torch.CudaTensor(2, disp_max, x_batch:size(3), x_batch:size(4)):fill(1.0 / 1.0)
vol = torch.CudaTensor(1, disp_max, output:size(3), output:size(4)):fill(1.0 / 1.0)

This change sets default values for occluded pixels.

from mc-cnn.

@ckwllawliet I also found the same problem after I updated torch. When I was using debug mode, I found that the matching cost of initial disparity map in regions that width=1 : disp_max equal NaN.
Now I realize that this problem is caused by the how min() functions dealing with NaN values. Obviously, it has changed in new torch version. After I removed all NaN values before using min() function. The result became better but still worse than before. Could you help us fix this problem? @jzbontar

from mc-cnn.