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jedi007李杰
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Reduce G/D/CIoU logic operations (ultralytics#6074)
Consider that the default value is CIOU,adjust the order of judgment could reduce the number of judgments. And “elif CIoU:” didn't need 'if'. Co-authored-by: 李杰 <[email protected]>
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utils/metrics.py

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@@ -222,20 +222,20 @@ def bbox_iou(box1, box2, x1y1x2y2=True, GIoU=False, DIoU=False, CIoU=False, eps=
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union = w1 * h1 + w2 * h2 - inter + eps
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iou = inter / union
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if GIoU or DIoU or CIoU:
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if CIoU or DIoU or GIoU:
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cw = torch.max(b1_x2, b2_x2) - torch.min(b1_x1, b2_x1) # convex (smallest enclosing box) width
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ch = torch.max(b1_y2, b2_y2) - torch.min(b1_y1, b2_y1) # convex height
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if CIoU or DIoU: # Distance or Complete IoU https://arxiv.org/abs/1911.08287v1
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c2 = cw ** 2 + ch ** 2 + eps # convex diagonal squared
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rho2 = ((b2_x1 + b2_x2 - b1_x1 - b1_x2) ** 2 +
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(b2_y1 + b2_y2 - b1_y1 - b1_y2) ** 2) / 4 # center distance squared
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if DIoU:
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return iou - rho2 / c2 # DIoU
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elif CIoU: # https://github.com/Zzh-tju/DIoU-SSD-pytorch/blob/master/utils/box/box_utils.py#L47
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if CIoU: # https://github.com/Zzh-tju/DIoU-SSD-pytorch/blob/master/utils/box/box_utils.py#L47
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v = (4 / math.pi ** 2) * torch.pow(torch.atan(w2 / h2) - torch.atan(w1 / h1), 2)
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with torch.no_grad():
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alpha = v / (v - iou + (1 + eps))
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return iou - (rho2 / c2 + v * alpha) # CIoU
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else:
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return iou - rho2 / c2 # DIoU
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else: # GIoU https://arxiv.org/pdf/1902.09630.pdf
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c_area = cw * ch + eps # convex area
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return iou - (c_area - union) / c_area # GIoU

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