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Update IoU capitalization (#8604)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Dean Mark <2552482+deanmark@users.noreply.github.com>
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Glenn Jocher 2024-03-02 22:12:23 +01:00 • committed by GitHub
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8 changed files with 16 additions and 16 deletions
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ultralytics/utils/metrics.py
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@ -24,7 +24,7 @@ def bbox_ioa(box1, box2, iou=False, eps=1e-7):
Args:
box1 (np.ndarray): A numpy array of shape (n, 4) representing n bounding boxes.
box2 (np.ndarray): A numpy array of shape (m, 4) representing m bounding boxes.
iou (bool): Calculate the standard iou if True else return inter_area/box2_area.
iou (bool): Calculate the standard IoU if True else return inter_area/box2_area.
eps (float, optional): A small value to avoid division by zero. Defaults to 1e-7.
Returns:
@ -194,7 +194,7 @@ def _get_covariance_matrix(boxes):
def probiou(obb1, obb2, CIoU=False, eps=1e-7):
"""
Calculate the prob iou between oriented bounding boxes, https://arxiv.org/pdf/2106.06072v1.pdf.
Calculate the prob IoU between oriented bounding boxes, https://arxiv.org/pdf/2106.06072v1.pdf.
Args:
obb1 (torch.Tensor): A tensor of shape (N, 5) representing ground truth obbs, with xywhr format.
@ -233,7 +233,7 @@ def probiou(obb1, obb2, CIoU=False, eps=1e-7):
def batch_probiou(obb1, obb2, eps=1e-7):
"""
Calculate the prob iou between oriented bounding boxes, https://arxiv.org/pdf/2106.06072v1.pdf.
Calculate the prob IoU between oriented bounding boxes, https://arxiv.org/pdf/2106.06072v1.pdf.
Args:
obb1 (torch.Tensor | np.ndarray): A tensor of shape (N, 5) representing ground truth obbs, with xywhr format.