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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-23 12:24:48 -08:00
parent c459bc6d4a
commit 78dfa384ee
1 changed files with 2 additions and 1 deletions
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utils/utils.py
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@ -377,7 +377,8 @@ def compute_loss(p, targets, model): # predictions, targets, model
# GIoU # GIoU
pxy = torch.sigmoid(ps[:, 0:2]) # pxy = pxy * s - (s - 1) / 2, s = 1.5 (scale_xy) pxy = torch.sigmoid(ps[:, 0:2]) # pxy = pxy * s - (s - 1) / 2, s = 1.5 (scale_xy)
pbox = torch.cat((pxy, torch.exp(ps[:, 2:4]).clamp(max=1E3) * anchor_vec[i]), 1) # predicted box pwh = torch.exp(ps[:, 2:4]).clamp(max=1E3) * anchor_vec[i]
pbox = torch.cat((pxy, pwh), 1) # predicted box
giou = 1.0 - bbox_iou(pbox.t(), tbox[i], x1y1x2y2=False, GIoU=True) # giou computation giou = 1.0 - bbox_iou(pbox.t(), tbox[i], x1y1x2y2=False, GIoU=True) # giou computation
lbox += giou.sum() if red == 'sum' else giou.mean() # giou loss lbox += giou.sum() if red == 'sum' else giou.mean() # giou loss