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yolov9-e.yaml
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yolov9-e.yaml
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# YOLOv9
# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # model depth multiple
width_multiple: 1.0 # layer channel multiple
#activation: nn.LeakyReLU(0.1)
#activation: nn.ReLU()
# anchors
anchors: 3
# YOLOv9 backbone
backbone:
[
[-1, 1, Silence, []],
# conv down
[-1, 1, Conv, [64, 3, 2]], # 1-P1/2
# conv down
[-1, 1, Conv, [128, 3, 2]], # 2-P2/4
# csp-elan block
[-1, 1, RepNCSPELAN4, [256, 128, 64, 2]], # 3
# avg-conv down
[-1, 1, ADown, [256]], # 4-P3/8
# csp-elan block
[-1, 1, RepNCSPELAN4, [512, 256, 128, 2]], # 5
# avg-conv down
[-1, 1, ADown, [512]], # 6-P4/16
# csp-elan block
[-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 7
# avg-conv down
[-1, 1, ADown, [1024]], # 8-P5/32
# csp-elan block
[-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 9
# routing
[1, 1, CBLinear, [[64]]], # 10
[3, 1, CBLinear, [[64, 128]]], # 11
[5, 1, CBLinear, [[64, 128, 256]]], # 12
[7, 1, CBLinear, [[64, 128, 256, 512]]], # 13
[9, 1, CBLinear, [[64, 128, 256, 512, 1024]]], # 14
# conv down
[0, 1, Conv, [64, 3, 2]], # 15-P1/2
[[10, 11, 12, 13, 14, -1], 1, CBFuse, [[0, 0, 0, 0, 0]]], # 16
# conv down
[-1, 1, Conv, [128, 3, 2]], # 17-P2/4
[[11, 12, 13, 14, -1], 1, CBFuse, [[1, 1, 1, 1]]], # 18
# csp-elan block
[-1, 1, RepNCSPELAN4, [256, 128, 64, 2]], # 19
# avg-conv down fuse
[-1, 1, ADown, [256]], # 20-P3/8
[[12, 13, 14, -1], 1, CBFuse, [[2, 2, 2]]], # 21
# csp-elan block
[-1, 1, RepNCSPELAN4, [512, 256, 128, 2]], # 22
# avg-conv down fuse
[-1, 1, ADown, [512]], # 23-P4/16
[[13, 14, -1], 1, CBFuse, [[3, 3]]], # 24
# csp-elan block
[-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 25
# avg-conv down fuse
[-1, 1, ADown, [1024]], # 26-P5/32
[[14, -1], 1, CBFuse, [[4]]], # 27
# csp-elan block
[-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]], # 28
]
# YOLOv9 head
head:
[
# multi-level auxiliary branch
# elan-spp block
[9, 1, SPPELAN, [512, 256]], # 29
# up-concat merge
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 7], 1, Concat, [1]], # cat backbone P4
# csp-elan block
[-1, 1, RepNCSPELAN4, [512, 512, 256, 2]], # 32
# up-concat merge
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 5], 1, Concat, [1]], # cat backbone P3
# csp-elan block
[-1, 1, RepNCSPELAN4, [256, 256, 128, 2]], # 35
# main branch
# elan-spp block
[28, 1, SPPELAN, [512, 256]], # 36
# up-concat merge
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 25], 1, Concat, [1]], # cat backbone P4
# csp-elan block
[-1, 1, RepNCSPELAN4, [512, 512, 256, 2]], # 39
# up-concat merge
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[[-1, 22], 1, Concat, [1]], # cat backbone P3
# csp-elan block
[-1, 1, RepNCSPELAN4, [256, 256, 128, 2]], # 42 (P3/8-small)
# avg-conv-down merge
[-1, 1, ADown, [256]],
[[-1, 39], 1, Concat, [1]], # cat head P4
# csp-elan block
[-1, 1, RepNCSPELAN4, [512, 512, 256, 2]], # 45 (P4/16-medium)
# avg-conv-down merge
[-1, 1, ADown, [512]],
[[-1, 36], 1, Concat, [1]], # cat head P5
# csp-elan block
[-1, 1, RepNCSPELAN4, [512, 1024, 512, 2]], # 48 (P5/32-large)
# detect
[[35, 32, 29, 42, 45, 48], 1, DualDDetect, [nc]], # DualDDetect(A3, A4, A5, P3, P4, P5)
]