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ultralytics 8.2.38 official YOLOv10 support (#13113)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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Burhan 2024-06-20 14:31:48 -04:00 • committed by GitHub
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ultralytics/utils/metrics.py
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@ -64,8 +64,9 @@ def box_iou(box1, box2, eps=1e-7):
(torch.Tensor): An NxM tensor containing the pairwise IoU values for every element in box1 and box2.
"""
# NOTE: Need .float() to get accurate iou values
# inter(N,M) = (rb(N,M,2) - lt(N,M,2)).clamp(0).prod(2)
(a1, a2), (b1, b2) = box1.unsqueeze(1).chunk(2, 2), box2.unsqueeze(0).chunk(2, 2)
(a1, a2), (b1, b2) = box1.float().unsqueeze(1).chunk(2, 2), box2.float().unsqueeze(0).chunk(2, 2)
inter = (torch.min(a2, b2) - torch.max(a1, b1)).clamp_(0).prod(2)
# IoU = inter / (area1 + area2 - inter)