-
Notifications
You must be signed in to change notification settings - Fork 10
/
bgf-yolo.yaml
66 lines (54 loc) · 2.33 KB
/
bgf-yolo.yaml
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
57
58
59
60
61
62
63
64
65
# BGF-YOLO based on Ultralytics YOLOv8x 8.0.109 object detection model with same license, AGPL-3.0 license
# BGF object detection model with P3-P6 outputs.
# Parameters
nc: 1 # number of classes
scales: # model compound scaling constants, i.e. 'model=yolov8n.yaml' will call yolov8.yaml with scale 'n'
# [depth, width, max_channels]
n: [0.33, 0.25, 1024] # YOLOv8n summary: 225 layers, 3157200 parameters, 3157184 gradients, 8.9 GFLOPs
x: [1.00, 1.25, 512] # YOLOv8x summary: 365 layers, 68229648 parameters, 68229632 gradients, 258.5 GFLOPs
# YOLOv8.0n backbone
backbone:
# [from, repeats, module, args]
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4
- [-1, 3, C2f, [128, True]]
- [-1, 1, Conv, [256, 3, 2]] # 3-P3/8
- [-1, 6, C2f, [256, True]]
- [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
- [-1, 6, C2f, [512, True]]
- [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32
- [-1, 3, C2f, [1024, True]]
- [-1, 1, SPPF, [1024, 5]] # 9
# YOLOv8.0n head
head:
- [-1, 1, Conv, [512, 1, 1]]
- [ 6, 1, Conv, [ 512, 3, 2 ] ]
- [-1, 1, BiLevelRoutingAttention, [8 ]]
- [ [ -1, 10 ], 1, Concat, [ 1 ] ]
- [ -1, 3, CSPStage, [ 512 ] ] # 14 20*20
- [ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ]
- [4, 1, Conv, [256, 3, 2]]
- [-1, 1, BiLevelRoutingAttention, [8 ]]
- [ [ 15, -1, 6 ], 1, Concat, [ 1 ] ]
- [-1, 3, CSPStage, [512]] # 19 40*40
- [ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ]
- [ -1, 1, BiLevelRoutingAttention, [ 8 ] ]
- [ [ -1, 4 ], 1, Concat, [ 1 ] ]
- [ -1, 3, CSPStage, [ 256 ] ]# 23 80*80
- [ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ]
- [ -1, 1, BiLevelRoutingAttention, [ 8 ] ]
- [ [ -1, 2 ], 1, Concat, [ 1 ] ]
- [ -1, 3, CSPStage, [ 128 ] ] # 27 160*160
- [ -1, 1, Conv, [ 128, 3, 2 ] ]
- [-1, 1, BiLevelRoutingAttention, [8 ]]
- [ [ -1, 23 ], 1, Concat, [ 1 ] ] # cat head P4
- [ -1, 3, CSPStage, [ 256 ] ] # 31 80*80
- [ -1, 1, Conv, [ 256, 3, 2 ] ]
- [ -1, 1, BiLevelRoutingAttention, [ 8 ] ]
- [ [ -1, 19 ], 1, Concat, [ 1 ] ] # cat head P4
- [ -1, 3, CSPStage, [ 512 ] ] # 35 40*40
- [ 19, 1, Conv, [ 256, 3, 2 ] ] # 20*20
- [ 35, 1, Conv, [ 256, 3, 2 ] ] # 20*20
- [ [14, 36, -1 ], 1, Concat, [ 1 ] ]
- [ -1, 3, CSPStage, [ 1024 ] ] # 39 20*20
- [ [ 27, 31, 35, 39 ], 1, Detect, [ nc ] ] # Detect(P3, P4, P5, P6)