Convert prior_boxes to (xmin, ymin, xmax, ymax) representation for comparison to point form ground truth data. Args: boxes: (tensor) center-size default boxes from priorbox layers. Return: boxes: (tensor) Converted xmin, ymin, xmax, ymax form of boxes.
(boxes)
| 3 | |
| 4 | |
| 5 | def point_form(boxes): |
| 6 | """ Convert prior_boxes to (xmin, ymin, xmax, ymax) |
| 7 | representation for comparison to point form ground truth data. |
| 8 | Args: |
| 9 | boxes: (tensor) center-size default boxes from priorbox layers. |
| 10 | Return: |
| 11 | boxes: (tensor) Converted xmin, ymin, xmax, ymax form of boxes. |
| 12 | """ |
| 13 | return torch.cat((boxes[:, :2] - boxes[:, 2:]/2, # xmin, ymin |
| 14 | boxes[:, :2] + boxes[:, 2:]/2), 1) # xmax, ymax |
| 15 | |
| 16 | |
| 17 | def center_size(boxes): |