updates
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@ -243,7 +243,7 @@ def build_targets(target, anchor_vec, nA, nC, nG):
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tcls = torch.ByteTensor(nB, nA, nG, nG, nC).fill_(0) # nC = number of classes
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for b in range(nB):
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t = target[b]
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t = target[b].cpu()
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nTb = len(t) # number of targets
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if nTb == 0:
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continue
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@ -257,7 +257,7 @@ def build_targets(target, anchor_vec, nA, nC, nG):
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box1 = gwh
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box2 = anchor_vec.unsqueeze(1)
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print(box1.device,box2.device)
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print(box1.device, box2.device)
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inter_area = torch.min(box1, box2).prod(2)
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iou = inter_area / (box1.prod(1) + box2.prod(2) - inter_area + 1e-16)
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