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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2018-11-19 12:55:03 +01:00
parent aa895d2a07
commit 6ab407231d
1 changed files with 2 additions and 1 deletions
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models.py
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@ -173,8 +173,9 @@ class YOLOLayer(nn.Module):
# lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float()) # lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
lconf = (k * 10) * BCEWithLogitsLoss(pred_conf, mask.float()) lconf = (k * 10) * BCEWithLogitsLoss(pred_conf, mask.float())
lconf += k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
lcls = (k / 10) * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1)) lcls = (k / 20) * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
# lcls = (k * 10) * BCEWithLogitsLoss(pred_cls[mask], tcls.float()) # lcls = (k * 10) * 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])