updates
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@ -267,8 +267,8 @@ def compute_loss(p, targets): # predictions, targets
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pi = pi0[b, a, gj, gi] # predictions closest to anchors
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tconf[b, a, gj, gi] = 1 # conf
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lxy += (k * 16) * MSE(torch.sigmoid(pi[..., 0:2]), txy[i]) # xy loss
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lwh += (k * 8) * MSE(pi[..., 2:4], twh[i]) # wh loss
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lxy += (k * 8) * MSE(torch.sigmoid(pi[..., 0:2]), txy[i]) # xy loss
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lwh += (k * 4) * MSE(pi[..., 2:4], twh[i]) # wh loss
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lcls += (k * 1) * CE(pi[..., 5:], tcls[i]) # class_conf loss
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# pos_weight = FT([gp[i] / min(gp) * 4.])
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