54 lines
1.6 KiB
YAML
54 lines
1.6 KiB
YAML
# parameters
|
|
nc: 80 # number of classes
|
|
depth_multiple: 1.0 # model depth multiple
|
|
width_multiple: 1.0 # layer channel multiple
|
|
|
|
# anchors
|
|
anchors:
|
|
- [13,17, 31,25, 24,51, 61,45] # P3/8
|
|
- [48,102, 119,96, 97,189, 217,184] # P4/16
|
|
- [171,384, 324,451, 616,618, 800,800] # P5/32
|
|
|
|
# csp-p5 backbone
|
|
backbone:
|
|
# [from, number, module, args]
|
|
[[-1, 1, Conv, [32, 3, 1]], # 0
|
|
[-1, 1, Conv, [64, 3, 2]], # 1-P1/2
|
|
[-1, 1, BottleneckCSP, [64]],
|
|
[-1, 1, Conv, [128, 3, 2]], # 3-P2/4
|
|
[-1, 3, BottleneckCSP, [128]],
|
|
[-1, 1, Conv, [256, 3, 2]], # 5-P3/8
|
|
[-1, 15, BottleneckCSP, [256]],
|
|
[-1, 1, Conv, [512, 3, 2]], # 7-P4/16
|
|
[-1, 15, BottleneckCSP, [512]],
|
|
[-1, 1, Conv, [1024, 3, 2]], # 9-P5/32
|
|
[-1, 7, BottleneckCSP, [1024]], # 10
|
|
]
|
|
|
|
# yolov4-p5 head
|
|
# na = len(anchors[0])
|
|
head:
|
|
[[-1, 1, SPPCSP, [512]], # 11
|
|
[-1, 1, Conv, [256, 1, 1]],
|
|
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
|
[8, 1, Conv, [256, 1, 1]], # route backbone P4
|
|
[[-1, -2], 1, Concat, [1]],
|
|
[-1, 3, BottleneckCSP2, [256]], # 16
|
|
[-1, 1, Conv, [128, 1, 1]],
|
|
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
|
[6, 1, Conv, [128, 1, 1]], # route backbone P3
|
|
[[-1, -2], 1, Concat, [1]],
|
|
[-1, 3, BottleneckCSP2, [128]], # 21
|
|
[-1, 1, Conv, [256, 3, 1]],
|
|
[-2, 1, Conv, [256, 3, 2]],
|
|
[[-1, 16], 1, Concat, [1]], # cat
|
|
[-1, 3, BottleneckCSP2, [256]], # 25
|
|
[-1, 1, Conv, [512, 3, 1]],
|
|
[-2, 1, Conv, [512, 3, 2]],
|
|
[[-1, 11], 1, Concat, [1]], # cat
|
|
[-1, 3, BottleneckCSP2, [512]], # 29
|
|
[-1, 1, Conv, [1024, 3, 1]],
|
|
|
|
[[22,26,30], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
|
|
]
|