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())