49 lines
1.4 KiB
YAML
49 lines
1.4 KiB
YAML
# parameters
|
||
nc: 80 # number of classes
|
||
depth_multiple: 1.33 # model depth multiple
|
||
width_multiple: 1.25 # layer channel multiple
|
||
|
||
# anchors
|
||
anchors:
|
||
- [10,13, 16,30, 33,23] # P3/8
|
||
- [30,61, 62,45, 59,119] # P4/16
|
||
- [116,90, 156,198, 373,326] # P5/32
|
||
|
||
# YOLOv5 backbone
|
||
backbone:
|
||
# [from, number, module, args]
|
||
[[-1, 1, Focus, [64, 3]], # 0-P1/2
|
||
[-1, 1, Conv, [128, 3, 2]], # 1-P2/4
|
||
[-1, 3, BottleneckCSP, [128]],
|
||
[-1, 1, Conv, [256, 3, 2]], # 3-P3/8
|
||
[-1, 9, BottleneckCSP, [256]],
|
||
[-1, 1, Conv, [512, 3, 2]], # 5-P4/16
|
||
[-1, 9, BottleneckCSP, [512]],
|
||
[-1, 1, Conv, [1024, 3, 2]], # 7-P5/32
|
||
[-1, 1, SPP, [1024, [5, 9, 13]]],
|
||
[-1, 3, BottleneckCSP, [1024, False]], # 9
|
||
]
|
||
|
||
# YOLOv5 head
|
||
head:
|
||
[[-1, 1, Conv, [512, 1, 1]],
|
||
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
||
[[-1, 6], 1, Concat, [1]], # cat backbone P4
|
||
[-1, 3, BottleneckCSP, [512, False]], # 13
|
||
|
||
[-1, 1, Conv, [256, 1, 1]],
|
||
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
||
[[-1, 4], 1, Concat, [1]], # cat backbone P3
|
||
[-1, 3, BottleneckCSP, [256, False]], # 17
|
||
|
||
[-1, 1, Conv, [256, 3, 2]],
|
||
[[-1, 14], 1, Concat, [1]], # cat head P4
|
||
[-1, 3, BottleneckCSP, [512, False]], # 20
|
||
|
||
[-1, 1, Conv, [512, 3, 2]],
|
||
[[-1, 10], 1, Concat, [1]], # cat head P5
|
||
[-1, 3, BottleneckCSP, [1024, False]], # 23
|
||
|
||
[[17, 20, 23], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
|
||
]
|