what.models.detection.ssd.ssd.squeezenet_ssd_config

 1import numpy as np
 2
 3from ..utils.box_utils import SSDSpec, SSDBoxSizes, generate_ssd_priors
 4
 5
 6image_size = 300
 7image_mean = np.array([127, 127, 127])  # RGB layout
 8image_std = 128.0
 9iou_threshold = 0.45
10center_variance = 0.1
11size_variance = 0.2
12
13specs = [
14    SSDSpec(17, 16, SSDBoxSizes(60, 105), [2, 3]),
15    SSDSpec(10, 32, SSDBoxSizes(105, 150), [2, 3]),
16    SSDSpec(5, 64, SSDBoxSizes(150, 195), [2, 3]),
17    SSDSpec(3, 100, SSDBoxSizes(195, 240), [2, 3]),
18    SSDSpec(2, 150, SSDBoxSizes(240, 285), [2, 3]),
19    SSDSpec(1, 300, SSDBoxSizes(285, 330), [2, 3])
20]
21
22
23priors = generate_ssd_priors(specs, image_size)