| |
| from ..utils import ext_loader |
|
|
| ext_module = ext_loader.load_ext('_ext', ['bbox_overlaps']) |
|
|
|
|
| def bbox_overlaps(bboxes1, bboxes2, mode='iou', aligned=False, offset=0): |
| """Calculate overlap between two set of bboxes. |
| |
| If ``aligned`` is ``False``, then calculate the ious between each bbox |
| of bboxes1 and bboxes2, otherwise the ious between each aligned pair of |
| bboxes1 and bboxes2. |
| |
| Args: |
| bboxes1 (Tensor): shape (m, 4) in <x1, y1, x2, y2> format or empty. |
| bboxes2 (Tensor): shape (n, 4) in <x1, y1, x2, y2> format or empty. |
| If aligned is ``True``, then m and n must be equal. |
| mode (str): "iou" (intersection over union) or iof (intersection over |
| foreground). |
| |
| Returns: |
| ious(Tensor): shape (m, n) if aligned == False else shape (m, 1) |
| |
| Example: |
| >>> bboxes1 = torch.FloatTensor([ |
| >>> [0, 0, 10, 10], |
| >>> [10, 10, 20, 20], |
| >>> [32, 32, 38, 42], |
| >>> ]) |
| >>> bboxes2 = torch.FloatTensor([ |
| >>> [0, 0, 10, 20], |
| >>> [0, 10, 10, 19], |
| >>> [10, 10, 20, 20], |
| >>> ]) |
| >>> bbox_overlaps(bboxes1, bboxes2) |
| tensor([[0.5000, 0.0000, 0.0000], |
| [0.0000, 0.0000, 1.0000], |
| [0.0000, 0.0000, 0.0000]]) |
| |
| Example: |
| >>> empty = torch.FloatTensor([]) |
| >>> nonempty = torch.FloatTensor([ |
| >>> [0, 0, 10, 9], |
| >>> ]) |
| >>> assert tuple(bbox_overlaps(empty, nonempty).shape) == (0, 1) |
| >>> assert tuple(bbox_overlaps(nonempty, empty).shape) == (1, 0) |
| >>> assert tuple(bbox_overlaps(empty, empty).shape) == (0, 0) |
| """ |
|
|
| mode_dict = {'iou': 0, 'iof': 1} |
| assert mode in mode_dict.keys() |
| mode_flag = mode_dict[mode] |
| |
| assert (bboxes1.size(-1) == 4 or bboxes1.size(0) == 0) |
| assert (bboxes2.size(-1) == 4 or bboxes2.size(0) == 0) |
| assert offset == 1 or offset == 0 |
|
|
| rows = bboxes1.size(0) |
| cols = bboxes2.size(0) |
| if aligned: |
| assert rows == cols |
|
|
| if rows * cols == 0: |
| return bboxes1.new(rows, 1) if aligned else bboxes1.new(rows, cols) |
|
|
| if aligned: |
| ious = bboxes1.new_zeros(rows) |
| else: |
| ious = bboxes1.new_zeros((rows, cols)) |
| ext_module.bbox_overlaps( |
| bboxes1, bboxes2, ious, mode=mode_flag, aligned=aligned, offset=offset) |
| return ious |
|
|
