Cpt.Captain/connecting_the_dots
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Use pytorch photometric loss instead of old self-rolled

Browse Source
This commit is contained in:
CptCaptain 2021-12-13 17:34:53 +01:00
parent f193f8d601
commit a673f807c5
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
model/networks.py
View File

@ -387,7 +387,7 @@ class RectifiedPatternSimilarityLoss(TimedModule):
if std is not None: if std is not None:
mask = mask * std mask = mask * std
diff = torchext.photometric_loss(pattern_proj.contiguous(), im.contiguous(), 9, self.loss_type, self.loss_eps) diff = torchext.photometric_loss_pytorch(pattern_proj.contiguous(), im.contiguous(), 9, self.loss_type, self.loss_eps)
val = (mask * diff).sum() / mask.sum() val = (mask * diff).sum() / mask.sum()
return val, pattern_proj return val, pattern_proj