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import numpy as np
import matplotlib.pyplot as plt
def rle_to_mask(rle):
"""Compute a binary mask from an uncompressed RLE."""
h, w = rle["size"]
mask = np.empty(h * w, dtype=bool)
idx = 0
parity = False
for count in rle["counts"]:
mask[idx : idx + count] = parity
idx += count
parity ^= True
mask = mask.reshape(w, h)
return mask.transpose()
# 示例 RLE 数据
rle = {
"size": (684, 1024),
# "size": (1024, 684),
"counts": [
430566,
7,
674,
11,
670,
14,
667,
17,
666,
18,
665,
19,
665,
19,
664,
19,
655,
28,
655,
28,
654,
29,
653,
30,
653,
31,
649,
35,
647,
36,
645,
39,
643,
41,
640,
44,
637,
47,
634,
49,
633,
51,
631,
53,
629,
55,
627,
56,
626,
58,
624,
60,
622,
61,
619,
65,
616,
67,
615,
69,
613,
71,
610,
74,
608,
76,
607,
76,
606,
78,
603,
81,
599,
84,
599,
85,
597,
87,
596,
88,
595,
88,
595,
89,
594,
90,
593,
92,
591,
93,
590,
94,
590,
94,
590,
94,
589,
95,
588,
96,
588,
96,
587,
97,
586,
98,
586,
98,
586,
97,
586,
97,
587,
97,
587,
97,
586,
97,
587,
97,
586,
98,
585,
99,
585,
99,
584,
100,
582,
101,
582,
102,
581,
100,
583,
99,
584,
99,
585,
99,
584,
99,
585,
99,
584,
99,
585,
99,
585,
99,
584,
101,
583,
101,
583,
101,
582,
101,
583,
101,
582,
101,
582,
102,
582,
102,
581,
102,
582,
102,
581,
103,
581,
103,
581,
102,
581,
103,
581,
103,
581,
102,
582,
102,
582,
17,
6,
78,
583,
17,
6,
78,
583,
17,
4,
80,
583,
18,
1,
82,
582,
102,
582,
101,
583,
101,
582,
46,
2,
53,
583,
27,
22,
52,
582,
28,
22,
52,
582,
28,
4,
2,
16,
52,
582,
28,
3,
6,
1,
7,
4,
52,
582,
29,
2,
71,
582,
29,
1,
71,
582,
100,
584,
100,
584,
65,
3,
31,
584,
56,
2,
8,
3,
31,
584,
56,
1,
42,
585,
56,
1,
42,
584,
57,
1,
25,
2,
14,
585,
57,
1,
25,
2,
14,
585,
57,
1,
40,
585,
58,
1,
40,
585,
58,
1,
40,
584,
59,
1,
39,
585,
99,
584,
100,
584,
66,
9,
24,
584,
69,
6,
25,
584,
99,
585,
99,
584,
100,
584,
100,
583,
101,
583,
101,
582,
102,
582,
101,
582,
102,
582,
102,
581,
103,
581,
61,
2,
39,
582,
60,
3,
39,
581,
61,
3,
39,
581,
60,
4,
38,
582,
60,
4,
38,
582,
62,
1,
38,
582,
102,
582,
102,
582,
102,
581,
103,
580,
103,
580,
104,
580,
104,
580,
103,
581,
103,
580,
61,
6,
35,
582,
48,
1,
11,
8,
33,
582,
64,
5,
32,
583,
101,
582,
101,
583,
101,
582,
101,
583,
101,
583,
101,
583,
101,
582,
102,
582,
101,
582,
102,
582,
101,
582,
102,
582,
102,
581,
102,
582,
102,
581,
102,
582,
102,
581,
103,
581,
102,
582,
102,
581,
103,
581,
103,
581,
103,
581,
103,
580,
103,
581,
103,
580,
104,
580,
103,
581,
102,
582,
102,
581,
102,
582,
102,
581,
103,
581,
102,
582,
102,
581,
102,
582,
101,
582,
101,
583,
101,
582,
101,
583,
101,
583,
100,
583,
100,
584,
99,
585,
99,
584,
99,
585,
99,
584,
100,
584,
99,
584,
100,
584,
100,
584,
99,
585,
99,
585,
99,
584,
100,
584,
99,
585,
99,
584,
100,
584,
99,
584,
100,
584,
99,
584,
99,
585,
98,
585,
98,
586,
94,
590,
94,
589,
94,
590,
94,
590,
94,
590,
94,
589,
95,
589,
94,
589,
95,
589,
94,
589,
95,
589,
94,
590,
93,
590,
94,
590,
93,
590,
94,
590,
94,
589,
94,
590,
94,
589,
94,
590,
94,
590,
93,
591,
93,
590,
93,
591,
93,
591,
92,
591,
93,
591,
93,
590,
93,
590,
94,
590,
93,
591,
93,
590,
94,
589,
94,
590,
94,
590,
93,
591,
92,
591,
93,
591,
92,
592,
92,
591,
93,
591,
93,
591,
92,
591,
93,
591,
93,
591,
92,
591,
93,
591,
93,
591,
92,
591,
93,
591,
93,
591,
92,
591,
93,
591,
92,
592,
91,
592,
92,
592,
91,
593,
91,
592,
91,
593,
91,
593,
91,
592,
91,
593,
91,
593,
91,
592,
91,
593,
91,
593,
90,
593,
91,
593,
90,
594,
89,
594,
89,
595,
87,
597,
86,
597,
86,
598,
83,
600,
81,
603,
78,
605,
75,
608,
73,
611,
70,
614,
68,
615,
65,
619,
62,
622,
59,
625,
57,
626,
54,
630,
51,
633,
48,
635,
45,
639,
42,
641,
41,
643,
38,
645,
36,
648,
33,
651,
30,
653,
29,
655,
27,
657,
24,
660,
21,
663,
17,
668,
14,
670,
11,
674,
8,
678,
3,
52537
]
}
# 将 RLE 转换为掩码
mask = rle_to_mask(rle)
# 可视化掩码
plt.figure(figsize=(8, 8))
plt.imshow(mask, cmap="gray")
plt.title("Mask from RLE")
plt.axis("off")
plt.show()
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