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import json
import numpy as np
import tqdm
vae_stride = 16
ratio2hws = {
1.000: [
(1, 1),
(2, 2),
(4, 4),
(6, 6),
(8, 8),
(12, 12),
(16, 16),
(20, 20),
(24, 24),
(32, 32),
(40, 40),
(48, 48),
(64, 64),
],
1.250: [
(1, 1),
(2, 2),
(3, 3),
(5, 4),
(10, 8),
(15, 12),
(20, 16),
(25, 20),
(30, 24),
(35, 28),
(45, 36),
(55, 44),
(70, 56),
],
1.333: [
(1, 1),
(2, 2),
(4, 3),
(8, 6),
(12, 9),
(16, 12),
(20, 15),
(24, 18),
(28, 21),
(36, 27),
(48, 36),
(60, 45),
(72, 54),
],
1.500: [
(1, 1),
(2, 2),
(3, 2),
(6, 4),
(9, 6),
(15, 10),
(21, 14),
(27, 18),
(33, 22),
(39, 26),
(48, 32),
(63, 42),
(78, 52),
],
1.750: [
(1, 1),
(2, 2),
(3, 3),
(7, 4),
(11, 6),
(14, 8),
(21, 12),
(28, 16),
(35, 20),
(42, 24),
(56, 32),
(70, 40),
(84, 48),
],
2.000: [
(1, 1),
(2, 2),
(4, 2),
(6, 3),
(10, 5),
(16, 8),
(22, 11),
(30, 15),
(38, 19),
(46, 23),
(60, 30),
(74, 37),
(90, 45),
],
2.500: [
(1, 1),
(2, 2),
(5, 2),
(10, 4),
(15, 6),
(20, 8),
(25, 10),
(30, 12),
(40, 16),
(50, 20),
(65, 26),
(80, 32),
(100, 40),
],
3.000: [
(1, 1),
(2, 2),
(6, 2),
(9, 3),
(15, 5),
(21, 7),
(27, 9),
(36, 12),
(45, 15),
(54, 18),
(72, 24),
(90, 30),
(111, 37),
],
}
full_ratio2hws = {}
for ratio, hws in ratio2hws.items():
full_ratio2hws[ratio] = hws
full_ratio2hws[int(1 / ratio * 1000) / 1000] = [(item[1], item[0]) for item in hws]
dynamic_resolution_h_w = {}
predefined_HW_Scales_dynamic = {}
for ratio in full_ratio2hws:
dynamic_resolution_h_w[ratio] = {}
for ind, leng in enumerate([7, 10, 13]):
h, w = (
full_ratio2hws[ratio][leng - 1][0],
full_ratio2hws[ratio][leng - 1][1],
) # feature map size
pixel = (h * vae_stride, w * vae_stride) # The original image (H, W)
dynamic_resolution_h_w[ratio][pixel[1]] = {
"pixel": pixel,
"scales": full_ratio2hws[ratio][:leng],
} # W as key
predefined_HW_Scales_dynamic[(h, w)] = full_ratio2hws[ratio][:leng]
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