updates
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@ -327,7 +327,7 @@ def compute_loss(p, targets, model): # predictions, targets, model
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bs = p[0].shape[0] # batch size
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bs = p[0].shape[0] # batch size
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k = bs / 64 # loss gain
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k = bs / 64 # loss gain
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arc = 'normal' # (normal, uCE, uBCE, uBCEs) detection architectures
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arc = 'normal' # (normal, uCE, uBCE, uBCEs) detection architectures
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for i, pi0 in enumerate(p): # layer i predictions, i
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for i, pi in enumerate(p): # layer index, layer predictions
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b, a, gj, gi = indices[i] # image, anchor, gridy, gridx
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b, a, gj, gi = indices[i] # image, anchor, gridy, gridx
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tobj = torch.zeros_like(pi[..., 0]) # target obj
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tobj = torch.zeros_like(pi[..., 0]) # target obj
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