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car-detection-bayes
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updates

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Glenn Jocher 2018-11-29 22:10:35 +01:00
parent bd649f241f
commit 35e445c5da
1 changed files with 1 additions and 1 deletions
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models.py
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@ -184,7 +184,7 @@ class YOLOLayer(nn.Module):
# plt.hist(self.x) # plt.hist(self.x)
# lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float()) # lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
lconf = (k * 32) * BCEWithLogitsLoss(pred_conf, mask.float()) lconf = (k * 64) * BCEWithLogitsLoss(pred_conf, mask.float())
lcls = (k / 4) * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1)) lcls = (k / 4) * 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())