This commit is contained in:
√(noham)²
2024-07-18 00:42:59 +02:00
parent 5c9313c4ca
commit 3cf13b815c
180 changed files with 34499 additions and 2 deletions

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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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# 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-ResNeXt backbone
backbone:
# [from, number, module, args]
[[-1, 1, Stem, [128]], # 0-P1/2
[-1, 3, ResXCSPC, [128]],
[-1, 1, Conv, [256, 3, 2]], # 2-P3/8
[-1, 4, ResXCSPC, [256]],
[-1, 1, Conv, [512, 3, 2]], # 4-P3/8
[-1, 6, ResXCSPC, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 6-P3/8
[-1, 3, ResXCSPC, [1024]], # 7
]
# CSP-ResX-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, ResXCSPB, [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, ResXCSPB, [128]], # 18
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 13], 1, Concat, [1]], # cat
[-1, 2, ResXCSPB, [256]], # 22
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [512, 3, 2]],
[[-1, 8], 1, Concat, [1]], # cat
[-1, 2, ResXCSPB, [512]], # 26
[-1, 1, Conv, [1024, 3, 1]],
[[19,23,27], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5)
]

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# parameters
nc: 80 # number of classes
depth_multiple: 1.33 # model depth multiple
width_multiple: 1.25 # 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-Darknet 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, BottleneckCSPC, [128]],
[-1, 1, Conv, [256, 3, 2]], # 5-P3/8
[-1, 8, BottleneckCSPC, [256]],
[-1, 1, Conv, [512, 3, 2]], # 7-P4/16
[-1, 8, BottleneckCSPC, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 9-P5/32
[-1, 4, BottleneckCSPC, [1024]], # 10
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [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, 2, BottleneckCSPB, [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, 2, BottleneckCSPB, [128]], # 21
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 16], 1, Concat, [1]], # cat
[-1, 2, BottleneckCSPB, [256]], # 25
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [512, 3, 2]],
[[-1, 11], 1, Concat, [1]], # cat
[-1, 2, BottleneckCSPB, [512]], # 29
[-1, 1, Conv, [1024, 3, 1]],
[[22,26,30], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5)
]

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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-Darknet 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, BottleneckCSPC, [128]],
[-1, 1, Conv, [256, 3, 2]], # 5-P3/8
[-1, 8, BottleneckCSPC, [256]],
[-1, 1, Conv, [512, 3, 2]], # 7-P4/16
[-1, 8, BottleneckCSPC, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 9-P5/32
[-1, 4, BottleneckCSPC, [1024]], # 10
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [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, 2, BottleneckCSPB, [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, 2, BottleneckCSPB, [128]], # 21
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 16], 1, Concat, [1]], # cat
[-1, 2, BottleneckCSPB, [256]], # 25
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [512, 3, 2]],
[[-1, 11], 1, Concat, [1]], # cat
[-1, 2, BottleneckCSPB, [512]], # 29
[-1, 1, Conv, [1024, 3, 1]],
[[22,26,30], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5)
]

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# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # expand model depth
width_multiple: 1.25 # expand layer channels
# anchors
anchors:
- [ 19,27, 44,40, 38,94 ] # P3/8
- [ 96,68, 86,152, 180,137 ] # P4/16
- [ 140,301, 303,264, 238,542 ] # P5/32
- [ 436,615, 739,380, 925,792 ] # P6/64
# CSP-Darknet backbone
backbone:
# [from, number, module, args]
[[-1, 1, ReOrg, []], # 0
[-1, 1, Conv, [64, 3, 1]], # 1-P1/2
[-1, 1, DownC, [128]], # 2-P2/4
[-1, 3, BottleneckCSPA, [128]],
[-1, 1, DownC, [256]], # 4-P3/8
[-1, 15, BottleneckCSPA, [256]],
[-1, 1, DownC, [512]], # 6-P4/16
[-1, 15, BottleneckCSPA, [512]],
[-1, 1, DownC, [768]], # 8-P5/32
[-1, 7, BottleneckCSPA, [768]],
[-1, 1, DownC, [1024]], # 10-P6/64
[-1, 7, BottleneckCSPA, [1024]], # 11
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [512]], # 12
[-1, 1, Conv, [384, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-6, 1, Conv, [384, 1, 1]], # route backbone P5
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [384]], # 17
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-13, 1, Conv, [256, 1, 1]], # route backbone P4
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [256]], # 22
[-1, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-20, 1, Conv, [128, 1, 1]], # route backbone P3
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [128]], # 27
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, DownC, [256]],
[[-1, 22], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [256]], # 31
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, DownC, [384]],
[[-1, 17], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [384]], # 35
[-1, 1, Conv, [768, 3, 1]],
[-2, 1, DownC, [512]],
[[-1, 12], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [512]], # 39
[-1, 1, Conv, [1024, 3, 1]],
[[28,32,36,40], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5, P6)
]

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# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # expand model depth
width_multiple: 1.25 # expand layer channels
# anchors
anchors:
- [ 19,27, 44,40, 38,94 ] # P3/8
- [ 96,68, 86,152, 180,137 ] # P4/16
- [ 140,301, 303,264, 238,542 ] # P5/32
- [ 436,615, 739,380, 925,792 ] # P6/64
# CSP-Darknet backbone
backbone:
# [from, number, module, args]
[[-1, 1, ReOrg, []], # 0
[-1, 1, Conv, [64, 3, 1]], # 1-P1/2
[-1, 1, DownC, [128]], # 2-P2/4
[-1, 3, BottleneckCSPA, [128]],
[-1, 1, DownC, [256]], # 4-P3/8
[-1, 7, BottleneckCSPA, [256]],
[-1, 1, DownC, [512]], # 6-P4/16
[-1, 7, BottleneckCSPA, [512]],
[-1, 1, DownC, [768]], # 8-P5/32
[-1, 3, BottleneckCSPA, [768]],
[-1, 1, DownC, [1024]], # 10-P6/64
[-1, 3, BottleneckCSPA, [1024]], # 11
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [512]], # 12
[-1, 1, Conv, [384, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-6, 1, Conv, [384, 1, 1]], # route backbone P5
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [384]], # 17
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-13, 1, Conv, [256, 1, 1]], # route backbone P4
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [256]], # 22
[-1, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-20, 1, Conv, [128, 1, 1]], # route backbone P3
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [128]], # 27
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, DownC, [256]],
[[-1, 22], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [256]], # 31
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, DownC, [384]],
[[-1, 17], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [384]], # 35
[-1, 1, Conv, [768, 3, 1]],
[-2, 1, DownC, [512]],
[[-1, 12], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [512]], # 39
[-1, 1, Conv, [1024, 3, 1]],
[[28,32,36,40], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5, P6)
]

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# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # expand model depth
width_multiple: 1.0 # expand layer channels
# anchors
anchors:
- [ 19,27, 44,40, 38,94 ] # P3/8
- [ 96,68, 86,152, 180,137 ] # P4/16
- [ 140,301, 303,264, 238,542 ] # P5/32
- [ 436,615, 739,380, 925,792 ] # P6/64
# CSP-Darknet backbone
backbone:
# [from, number, module, args]
[[-1, 1, ReOrg, []], # 0
[-1, 1, Conv, [64, 3, 1]], # 1-P1/2
[-1, 1, Conv, [128, 3, 2]], # 2-P2/4
[-1, 3, BottleneckCSPA, [128]],
[-1, 1, Conv, [256, 3, 2]], # 4-P3/8
[-1, 7, BottleneckCSPA, [256]],
[-1, 1, Conv, [384, 3, 2]], # 6-P4/16
[-1, 7, BottleneckCSPA, [384]],
[-1, 1, Conv, [512, 3, 2]], # 8-P5/32
[-1, 3, BottleneckCSPA, [512]],
[-1, 1, Conv, [640, 3, 2]], # 10-P6/64
[-1, 3, BottleneckCSPA, [640]], # 11
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [320]], # 12
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-6, 1, Conv, [256, 1, 1]], # route backbone P5
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [256]], # 17
[-1, 1, Conv, [192, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-13, 1, Conv, [192, 1, 1]], # route backbone P4
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [192]], # 22
[-1, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-20, 1, Conv, [128, 1, 1]], # route backbone P3
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [128]], # 27
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [192, 3, 2]],
[[-1, 22], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [192]], # 31
[-1, 1, Conv, [384, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 17], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [256]], # 35
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [320, 3, 2]],
[[-1, 12], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [320]], # 39
[-1, 1, Conv, [640, 3, 1]],
[[28,32,36,40], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5, P6)
]

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# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # expand model depth
width_multiple: 1.0 # expand layer channels
# anchors
anchors:
- [ 19,27, 44,40, 38,94 ] # P3/8
- [ 96,68, 86,152, 180,137 ] # P4/16
- [ 140,301, 303,264, 238,542 ] # P5/32
- [ 436,615, 739,380, 925,792 ] # P6/64
# CSP-Darknet backbone
backbone:
# [from, number, module, args]
[[-1, 1, ReOrg, []], # 0
[-1, 1, Conv, [64, 3, 1]], # 1-P1/2
[-1, 1, Conv, [128, 3, 2]], # 2-P2/4
[-1, 3, BottleneckCSPA, [128]],
[-1, 1, Conv, [256, 3, 2]], # 4-P3/8
[-1, 7, BottleneckCSPA, [256]],
[-1, 1, Conv, [512, 3, 2]], # 6-P4/16
[-1, 7, BottleneckCSPA, [512]],
[-1, 1, Conv, [768, 3, 2]], # 8-P5/32
[-1, 3, BottleneckCSPA, [768]],
[-1, 1, Conv, [1024, 3, 2]], # 10-P6/64
[-1, 3, BottleneckCSPA, [1024]], # 11
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [512]], # 12
[-1, 1, Conv, [384, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-6, 1, Conv, [384, 1, 1]], # route backbone P5
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [384]], # 17
[-1, 1, Conv, [256, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-13, 1, Conv, [256, 1, 1]], # route backbone P4
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [256]], # 22
[-1, 1, Conv, [128, 1, 1]],
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
[-20, 1, Conv, [128, 1, 1]], # route backbone P3
[[-1, -2], 1, Concat, [1]],
[-1, 3, BottleneckCSPB, [128]], # 27
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 22], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [256]], # 31
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [384, 3, 2]],
[[-1, 17], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [384]], # 35
[-1, 1, Conv, [768, 3, 1]],
[-2, 1, Conv, [512, 3, 2]],
[[-1, 12], 1, Concat, [1]], # cat
[-1, 3, BottleneckCSPB, [512]], # 39
[-1, 1, Conv, [1024, 3, 1]],
[[28,32,36,40], 1, IDetect, [nc, anchors]], # Detect(P3, P4, P5, P6)
]

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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:
- [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-SPP head
head:
[[-1, 1, Bottleneck, [1024, False]],
[-1, 1, SPP, [512, [5, 9, 13]]],
[-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)
]

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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:
- [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)
]

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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-Darknet 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, BottleneckCSPC, [128]],
[-1, 1, Conv, [256, 3, 2]], # 5-P3/8
[-1, 8, BottleneckCSPC, [256]],
[-1, 1, Conv, [512, 3, 2]], # 7-P4/16
[-1, 8, BottleneckCSPC, [512]],
[-1, 1, Conv, [1024, 3, 2]], # 9-P5/32
[-1, 4, BottleneckCSPC, [1024]], # 10
]
# CSP-Dark-PAN head
head:
[[-1, 1, SPPCSPC, [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, 2, BottleneckCSPB, [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, 2, BottleneckCSPB, [128]], # 21
[-1, 1, Conv, [256, 3, 1]],
[-2, 1, Conv, [256, 3, 2]],
[[-1, 16], 1, Concat, [1]], # cat
[-1, 2, BottleneckCSPB, [256]], # 25
[-1, 1, Conv, [512, 3, 1]],
[-2, 1, Conv, [512, 3, 2]],
[[-1, 11], 1, Concat, [1]], # cat
[-1, 2, BottleneckCSPB, [512]], # 29
[-1, 1, Conv, [1024, 3, 1]],
[[22,26,30], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
]