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car-detection-bayes
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Glenn Jocher 2019-02-21 10:57:55 +01:00
parent 7a31f4b288
commit 646a21a5cd
1 changed files with 2 additions and 1 deletions
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models.py
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@ -159,7 +159,8 @@ class YOLOLayer(nn.Module):
# Compute losses # Compute losses
nT = sum([len(x) for x in targets]) # number of targets nT = sum([len(x) for x in targets]) # number of targets
nM = mask.sum().float() # number of anchors (assigned to targets) nM = mask.sum().float() # number of anchors (assigned to targets)
k = nM / bs k = 1 #nM / bs
if nM > 0: if nM > 0:
lxy = k * MSELoss(xy[mask], txy[mask]) lxy = k * MSELoss(xy[mask], txy[mask])
lwh = k * MSELoss(wh[mask], twh[mask]) lwh = k * MSELoss(wh[mask], twh[mask])