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