71 lines
2.1 KiB
YAML
71 lines
2.1 KiB
YAML
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Parameters
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nc: 1 # number of classes
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depth_multiple: 0.33 # model depth multiple
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width_multiple: 0.50 # layer channel multiple
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anchors:
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- [4,5, 8,10, 22,18] # P2/4
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- [10,13, 16,30, 33,23] # P3/8
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- [30,61, 62,45, 59,119] # P4/16
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- [116,90, 156,198, 373,326] # P5/32
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# YOLOv5 v6.0 backbone
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backbone:
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# [from, number, module, args]
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[[-1, 1, Conv, [64, 6, 2, 2]], # 0-P1/2
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[-1, 1, Conv, [128, 3, 1]], # 1-P2/4
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[-1,1,space_to_depth,[1]],# 2
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[-1, 3, C3, [128]],# 3
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[-1, 1, Conv, [256, 3, 1]], # 4-P3/8
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[-1,1,space_to_depth,[1]],# 5
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[-1, 6, C3, [256]],# 6
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[-1, 1, Conv, [512, 3, 1]], # 7-P4/16
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[-1,1,space_to_depth,[1]],# 8
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[-1, 9, C3, [512]],# 9
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[-1, 1, Conv, [1024, 3, 1]], # 10-P5/32
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[-1,1,space_to_depth,[1]],# 11
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[-1, 3, C3, [1024]],# 12
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[-1, 1, SPPF, [1024, 5]], # 13
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]
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# YOLOv5 v6.0 head
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head:
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[[-1, 1, Conv, [512, 1, 1]], # 14
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[-1, 1, nn.Upsample, [None, 2, 'nearest']], # 15
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[[-1, 9], 1, Concat, [1]], # cat backbone P4
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[-1, 3, C3, [512, False]], # 17
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[-1, 1, Conv, [256, 1, 1]], # 18
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[-1, 1, nn.Upsample, [None, 2, 'nearest']], # 19
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[[-1, 6], 1, Concat, [1]], # cat backbone P3
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# add feature extration layer
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[-1, 3, C3, [256, False]], # 21
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[-1, 1, Conv, [128, 1, 1]], # 22
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[-1, 1, nn.Upsample, [None, 2, 'nearest']], # 23
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[[-1, 3], 1, Concat, [1]], # cat backbone P3
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# add detect layer
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[-1, 3, C3, [128, False]], # 25 (P4/4-minium)
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[-1, 1, Conv, [128, 3, 1]], # 26
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[-1,1,space_to_depth,[1]], # 27
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[[-1, 22], 1, Concat, [1]], # cat head P3
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# end
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[-1, 3, C3, [256, False]], # 29 (P3/8-small)
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[-1, 1, Conv, [256, 3, 1]], # 30
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[-1,1,space_to_depth,[1]], # 31
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[[-1, 18], 1, Concat, [1]], # cat head P4
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[-1, 3, C3, [512, False]], # 33 (P4/16-medium)
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[-1, 1, Conv, [512, 3, 1]], # 34
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[-1,1,space_to_depth,[1]], # 35
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[[-1, 14], 1, Concat, [1]], # cat head P5
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[-1, 3, C3, [1024, False]], # 37 (P5/32-large)
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[[25, 29, 33, 37], 1, ASFF_4L_Detect, [nc, anchors]], # Detect(P2, P3, P4, P5)
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]
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