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# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # model depth multiple
width_multiple: 1.0 # layer channel multiple
# anchors
anchors:
- [12,16, 19,36, 40,28] # P3/8
- [36,75, 76,55, 72,146] # P4/16
- [142,110, 192,243, 459,401] # P5/32
# CSP-ResNet backbone
backbone:
# [from, number, module, args]
[[-1, 1, Stem, [128]], # 0-P1/2
[-1, 3, ResCSPC, [128]],
[-1, 1, Conv, [256, 3, 2]], # 2-P3/8
[-1, 4, ResCSPC, [256]],
[-1, 1, Conv, [512, 3, 2]], # 4-P3/8
[-1, 6, ResCSPC, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 6-P3/8
[-1, 3, ResCSPC, [1024]], # 7
]
# CSP-Res-PAN head
head:
[[-1, 1, SPPCSPC, [512]], # 8
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[5, 1, Conv, [256, 1, 1]], # route backbone P4
[[-1, -2], 1, Concat, [1]],
[-1, 2, ResCSPB, [256]], # 13
[-1, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[3, 1, Conv, [128, 1, 1]], # route backbone P3
[[-1, -2], 1, Concat, [1]],
[-1, 2, ResCSPB, [128]], # 18
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 13], 1, Concat, [1]], # cat
[-1, 2, ResCSPB, [256]], # 22
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [512, 3, 2]],
[[-1, 8], 1, Concat, [1]], # cat
[-1, 2, ResCSPB, [512]], # 26
[-1, 1, Conv, [1024, 3, 1]],
[[19,23,27], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5)
]
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