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Update .pre-commit-config.yaml (#1026)

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Glenn Jocher 2023-02-17 22:26:40 +01:00 • committed by GitHub
parent 9047d737f4
commit edd3ff1669
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76 changed files with 928 additions and 935 deletions
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ultralytics/yolo/utils/loss.py
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@ -16,7 +16,7 @@ class VarifocalLoss(nn.Module):
def forward(self, pred_score, gt_score, label, alpha=0.75, gamma=2.0):
weight = alpha * pred_score.sigmoid().pow(gamma) * (1 - label) + gt_score * label
with torch.cuda.amp.autocast(enabled=False):
loss = (F.binary_cross_entropy_with_logits(pred_score.float(), gt_score.float(), reduction="none") *
loss = (F.binary_cross_entropy_with_logits(pred_score.float(), gt_score.float(), reduction='none') *
weight).sum()
return loss
@ -52,5 +52,5 @@ class BboxLoss(nn.Module):
tr = tl + 1 # target right
wl = tr - target # weight left
wr = 1 - wl # weight right
return (F.cross_entropy(pred_dist, tl.view(-1), reduction="none").view(tl.shape) * wl +
F.cross_entropy(pred_dist, tr.view(-1), reduction="none").view(tl.shape) * wr).mean(-1, keepdim=True)
return (F.cross_entropy(pred_dist, tl.view(-1), reduction='none').view(tl.shape) * wl +
F.cross_entropy(pred_dist, tr.view(-1), reduction='none').view(tl.shape) * wr).mean(-1, keepdim=True)