forked from ryoppippi/Gasyori100knock
-
Notifications
You must be signed in to change notification settings - Fork 1.1k
/
answer_93.py
36 lines (28 loc) · 828 Bytes
/
answer_93.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
import numpy as np
# get IoU overlap ratio
def iou(a, b):
# get area of a
area_a = (a[2] - a[0]) * (a[3] - a[1])
# get area of b
area_b = (b[2] - b[0]) * (b[3] - b[1])
# get left top x of IoU
iou_x1 = np.maximum(a[0], b[0])
# get left top y of IoU
iou_y1 = np.maximum(a[1], b[1])
# get right bottom of IoU
iou_x2 = np.minimum(a[2], b[2])
# get right bottom of IoU
iou_y2 = np.minimum(a[3], b[3])
# get width of IoU
iou_w = iou_x2 - iou_x1
# get height of IoU
iou_h = iou_y2 - iou_y1
# get area of IoU
area_iou = iou_w * iou_h
# get overlap ratio between IoU and all area
iou = area_iou / (area_a + area_b - area_iou)
return iou
# [x1, y1, x2, y2]
a = np.array((50, 50, 150, 150), dtype=np.float32)
b = np.array((60, 60, 170, 160), dtype=np.float32)
print(iou(a, b))