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TWEET # Untitled a guest Jun 12th, 2019 59 Never
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1. import numpy as np
2. import cupy as cp
3.
4.
5. def _non_maximum_suppression_cpu(bbox, thresh, score=None, limit=None):
6.     bbox = cp.asnumpy(bbox)
7.     if len(bbox) == 0:
8.         return np.zeros((0,), dtype=np.int32)
9.
10.     if score is not None:
11.         order = score.argsort()[::-1]
12.         bbox = bbox[order]
13.     bbox_area = np.prod(bbox[:, 2:] - bbox[:, :2], axis=1) #面積求めてる。
14.
15.     selec = np.zeros(bbox.shape, dtype=bool)
16.     for i, b in enumerate(bbox):
17.         tl = np.maximum(b[:2], bbox[selec, :2])
18.         br = np.minimum(b[2:], bbox[selec, 2:])
19.         area = np.prod(br - tl, axis=1) * (tl < br).all(axis=1)
20.
21.         iou = area / (bbox_area[i] + bbox_area[selec] - area)
22.         if (iou >= thresh).any():
23.             continue
24.
25.         selec[i] = True
26.         if limit is not None and np.count_nonzero(selec) >= limit:
27.             break
28.     selec = np.where(selec)
29.     if score is not None:
30.         selec = order[selec]
31.     return selec.astype(np.int32)
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