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car-detection-bayes
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Glenn Jocher 2019-03-04 16:06:13 +01:00
parent 5ca987eaed
commit 5fcdcefec3
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models.py
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@ -161,6 +161,7 @@ class YOLOLayer(nn.Module):
nM = mask.sum().float() # number of anchors (assigned to targets) nM = mask.sum().float() # number of anchors (assigned to targets)
k = 1 # nM / bs k = 1 # nM / bs
if nM > 0: if nM > 0:
print(xy.shape, txy.shape, mask.shape)
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])