HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

ultralytics 8.1.5 add OBB Tracking support (#7731)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Hassaan Farooq <103611273+hassaanfarooq01@users.noreply.github.com>
This commit is contained in:
Laughing 2024-01-23 08:57:51 +08:00 • committed by GitHub
parent 12a741c76f
commit f56dd0f48e
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
11 changed files with 92 additions and 44 deletions
Download patch file Download diff file Expand all files Collapse all files

7
ultralytics/utils/metrics.py
View file

@ -239,13 +239,16 @@ def batch_probiou(obb1, obb2, eps=1e-7):
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.
obb2 (torch.Tensor): A tensor of shape (M, 5) representing predicted obbs, with xywhr format.
obb1 (torch.Tensor | np.ndarray): A tensor of shape (N, 5) representing ground truth obbs, with xywhr format.
obb2 (torch.Tensor | np.ndarray): A tensor of shape (M, 5) representing predicted obbs, with xywhr format.
eps (float, optional): A small value to avoid division by zero. Defaults to 1e-7.
Returns:
(torch.Tensor): A tensor of shape (N, M) representing obb similarities.
"""
obb1 = torch.from_numpy(obb1) if isinstance(obb1, np.ndarray) else obb1
obb2 = torch.from_numpy(obb2) if isinstance(obb2, np.ndarray) else obb2
x1, y1 = obb1[..., :2].split(1, dim=-1)
x2, y2 = (x.squeeze(-1)[None] for x in obb2[..., :2].split(1, dim=-1))
a1, b1, c1 = _get_covariance_matrix(obb1)