52 lines
1.5 KiB
YAML
52 lines
1.5 KiB
YAML
|
# parameters
|
||
|
|
nc: 80 # number of classes
|
||
|
|
depth_multiple: 1.0 # model depth multiple
|
||
|
|
width_multiple: 1.0 # 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
|
||
|
|
|
||
|
|
# darknet53 backbone
|
||
|
|
backbone:
|
||
|
|
# [from, number, module, args]
|
||
|
|
[[-1, 1, Conv, [32, 3, 1]], # 0
|
||
|
|
[-1, 1, Conv, [64, 3, 2]], # 1-P1/2
|
||
|
|
[-1, 1, Bottleneck, [64]],
|
||
|
|
[-1, 1, Conv, [128, 3, 2]], # 3-P2/4
|
||
|
|
[-1, 2, Bottleneck, [128]],
|
||
|
|
[-1, 1, Conv, [256, 3, 2]], # 5-P3/8
|
||
|
|
[-1, 8, Bottleneck, [256]],
|
||
|
|
[-1, 1, Conv, [512, 3, 2]], # 7-P4/16
|
||
|
|
[-1, 8, Bottleneck, [512]],
|
||
|
|
[-1, 1, Conv, [1024, 3, 2]], # 9-P5/32
|
||
|
|
[-1, 4, Bottleneck, [1024]], # 10
|
||
|
|
]
|
||
|
|
|
||
|
|
# YOLOv3 head
|
||
|
|
head:
|
||
|
|
[[-1, 1, Bottleneck, [1024, False]],
|
||
|
|
[-1, 1, Conv, [512, [1, 1]]],
|
||
|
|
[-1, 1, Conv, [1024, 3, 1]],
|
||
|
|
[-1, 1, Conv, [512, 1, 1]],
|
||
|
|
[-1, 1, Conv, [1024, 3, 1]], # 15 (P5/32-large)
|
||
|
|
|
||
|
|
[-2, 1, Conv, [256, 1, 1]],
|
||
|
|
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
||
|
|
[[-1, 8], 1, Concat, [1]], # cat backbone P4
|
||
|
|
[-1, 1, Bottleneck, [512, False]],
|
||
|
|
[-1, 1, Bottleneck, [512, False]],
|
||
|
|
[-1, 1, Conv, [256, 1, 1]],
|
||
|
|
[-1, 1, Conv, [512, 3, 1]], # 22 (P4/16-medium)
|
||
|
|
|
||
|
|
[-2, 1, Conv, [128, 1, 1]],
|
||
|
|
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
||
|
|
[[-1, 6], 1, Concat, [1]], # cat backbone P3
|
||
|
|
[-1, 1, Bottleneck, [256, False]],
|
||
|
|
[-1, 2, Bottleneck, [256, False]], # 27 (P3/8-small)
|
||
|
|
|
||
|
|
[[27, 22, 15], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
|
||
|
|
]
|