|
|
@ -1016,7 +1016,7 @@ class Boxes(BaseTensor): |
|
|
|
xyxy (torch.Tensor | numpy.ndarray): Boxes in [x1, y1, x2, y2] format. |
|
|
|
xyxy (torch.Tensor | numpy.ndarray): Boxes in [x1, y1, x2, y2] format. |
|
|
|
conf (torch.Tensor | numpy.ndarray): Confidence scores for each box. |
|
|
|
conf (torch.Tensor | numpy.ndarray): Confidence scores for each box. |
|
|
|
cls (torch.Tensor | numpy.ndarray): Class labels for each box. |
|
|
|
cls (torch.Tensor | numpy.ndarray): Class labels for each box. |
|
|
|
id (torch.Tensor | numpy.ndarray): Tracking IDs for each box (if available). |
|
|
|
id (torch.Tensor | None): Tracking IDs for each box (if available). |
|
|
|
xywh (torch.Tensor | numpy.ndarray): Boxes in [x, y, width, height] format. |
|
|
|
xywh (torch.Tensor | numpy.ndarray): Boxes in [x, y, width, height] format. |
|
|
|
xyxyn (torch.Tensor | numpy.ndarray): Normalized [x1, y1, x2, y2] boxes relative to orig_shape. |
|
|
|
xyxyn (torch.Tensor | numpy.ndarray): Normalized [x1, y1, x2, y2] boxes relative to orig_shape. |
|
|
|
xywhn (torch.Tensor | numpy.ndarray): Normalized [x, y, width, height] boxes relative to orig_shape. |
|
|
|
xywhn (torch.Tensor | numpy.ndarray): Normalized [x, y, width, height] boxes relative to orig_shape. |
|
|
|