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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2018-09-02 12:55:05 +02:00
parent 58f2d9306b
commit 058bb7f38d
1 changed files with 2 additions and 2 deletions
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models.py
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@ -160,8 +160,8 @@ class YOLOLayer(nn.Module):
lh = 5 * MSELoss(h[mask], th[mask]) lh = 5 * MSELoss(h[mask], th[mask])
lconf = 1.5 * BCEWithLogitsLoss1(pred_conf[mask], mask[mask].float()) lconf = 1.5 * BCEWithLogitsLoss1(pred_conf[mask], mask[mask].float())
# lcls = nM * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1)) lcls = nM * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
lcls = nM * BCEWithLogitsLoss2(pred_cls[mask], tcls.float()) # lcls = nM * BCEWithLogitsLoss2(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])