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import numpy as np
from vision.utils.box_utils import SSDSpec, SSDBoxSizes, generate_ssd_priors
image_size = 300
image_mean = np.array([127, 127, 127]) # RGB layout
image_std = 128.0
iou_threshold = 0.45
center_variance = 0.1
size_variance = 0.2
specs = [
SSDSpec(19, 16, SSDBoxSizes(60, 105), [2, 3]),
SSDSpec(10, 32, SSDBoxSizes(105, 150), [2, 3]),
SSDSpec(5, 64, SSDBoxSizes(150, 195), [2, 3]),
SSDSpec(3, 100, SSDBoxSizes(195, 240), [2, 3]),
SSDSpec(2, 150, SSDBoxSizes(240, 285), [2, 3]),
SSDSpec(1, 300, SSDBoxSizes(285, 330), [2, 3])
]
priors = generate_ssd_priors(specs, image_size)
#print(' ')
#print('SSD-Mobilenet-v1 priors:')
#print(priors.shape)
#print(priors)
#print(' ')
#import torch
#torch.save(priors, 'mb1-ssd-priors.pt')
#np.savetxt('mb1-ssd-priors.txt', priors.numpy())
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