|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
- # stride_N_plus is for models where the first skip begins from the feature map with output stride N and higher
- # grids of [input_size / N x input_size / N] and smaller
- # NOTE: changing anchors to a different stride requires updating output_paths in model anch params
- # because feat_size are hardcoded and won't automatically change in a model
- 256x256:
- stride_16_plus:
- _target_: super_gradients.training.utils.ssd_utils.DefaultBoxes
- fig_size: 256
- feat_size: [ 32, 16, 8, 4, 2, 1 ]
- scales: [ 18, 38, 84, 131, 177, 223, 269 ]
- aspect_ratios: [ [ 2 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2 ], [ 2 ] ]
- scale_xy: 0.1
- scale_wh: 0.2
- stride_8_plus: [[2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3]]
- 300x300:
- stride_8_plus:
- _target_: super_gradients.training.utils.ssd_utils.DefaultBoxes
- fig_size: 300
- feat_size: [38, 19, 10, 5, 3, 2]
- scales: [21, 45, 99, 153, 207, 261, 315]
- aspect_ratios: [[2], [2, 3], [2, 3], [2, 3], [2], [2]]
- scale_xy: 0.1
- scale_wh: 0.2
- stride_16_plus:
- _target_: super_gradients.training.utils.ssd_utils.DefaultBoxes
- fig_size: 300
- feat_size: [19, 10, 5, 3, 2, 1]
- scales: [21, 45, 99, 153, 207, 261, 315]
- aspect_ratios: [[2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3]]
- scale_xy: 0.1
- scale_wh: 0.2
- 320x320:
- stride_8_plus:
- _target_: super_gradients.training.utils.ssd_utils.DefaultBoxes
- fig_size: 320
- feat_size: [ 40, 20, 10, 5, 3, 2 ]
- scales: [ 22, 48, 106, 163, 221, 278, 336 ]
- aspect_ratios: [ [ 2 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2 ], [ 2 ] ]
- scale_xy: 0.1
- scale_wh: 0.2
- stride_16_plus:
- _target_: super_gradients.training.utils.ssd_utils.DefaultBoxes
- fig_size: 320
- feat_size: [ 20, 10, 5, 3, 2, 1 ]
- scales: [ 22, 48, 106, 163, 221, 278, 336 ]
- aspect_ratios: [ [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ] ]
- scale_xy: 0.1
- scale_wh: 0.2
- stride_16_plus_big:
- _target_: super_gradients.training.utils.ssd_utils.DefaultBoxes
- fig_size: 320
- feat_size: [ 20, 10, 5, 3, 2, 1 ]
- scales: [ 32, 82, 133, 184, 235, 285, 336 ]
- aspect_ratios: [ [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ], [ 2, 3 ] ]
- scale_xy: 0.1
- scale_wh: 0.2
|
Connect to our Discord channel
Models
Annotations