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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2018-08-26 21:41:35 +02:00
parent ebe27544eb
commit d602aed1d8
1 changed files with 3 additions and 3 deletions
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6
models.py
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@ -132,7 +132,7 @@ class YOLOLayer(nn.Module):
if targets is not None: if targets is not None:
BCEWithLogitsLoss = nn.BCEWithLogitsLoss() BCEWithLogitsLoss = nn.BCEWithLogitsLoss()
MSELoss = nn.MSELoss() # version 0.4.0 MSELoss = nn.MSELoss() # version 0.4.0
# CrossEntropyLoss = nn.CrossEntropyLoss() CrossEntropyLoss = nn.CrossEntropyLoss()
if requestPrecision: if requestPrecision:
gx = self.grid_x[:, :, :nG, :nG] gx = self.grid_x[:, :, :nG, :nG]
@ -159,8 +159,8 @@ class YOLOLayer(nn.Module):
lh = 5 * MSELoss(h[mask], th[mask]) lh = 5 * MSELoss(h[mask], th[mask])
lconf = 1.5 * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float()) lconf = 1.5 * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
# lcls = CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1)) lcls = CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
lcls = BCEWithLogitsLoss(pred_cls[mask], tcls.float()) # lcls = BCEWithLogitsLoss(pred_cls[mask], tcls.float())
else: else:
lx, ly, lw, lh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0]), FT([0]), FT([0]) lx, ly, lw, lh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0]), FT([0]), FT([0])