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43 lines
1.2 KiB
43 lines
1.2 KiB
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Parameters
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nc: 80 # number of classes
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depth_multiple: 0.33 # model depth multiple
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width_multiple: 0.25 # layer channel multiple
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# YOLOv8.0n backbone
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backbone:
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# [from, number, module, args]
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[[-1, 1, Conv, [64, 3, 2]], # 0-P1/2
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[-1, 1, Conv, [128, 3, 2]], # 1-P2/4
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[-1, 3, C2f, [128, True]],
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[-1, 1, Conv, [256, 3, 2]], # 3-P3/8
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[-1, 6, C2f, [256, True]],
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[-1, 1, Conv, [512, 3, 2]], # 5-P4/16
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[-1, 6, C2f, [512, True]],
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[-1, 1, Conv, [1024, 3, 2]], # 7-P5/32
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[-1, 3, C2f, [1024, True]],
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[-1, 1, SPPF, [1024, 5]], # 9
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]
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# YOLOv8.0n head
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head:
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[[-1, 1, nn.Upsample, [None, 2, 'nearest']],
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[[-1, 6], 1, Concat, [1]], # cat backbone P4
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[-1, 3, C2f, [512]], # 13
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[-1, 1, nn.Upsample, [None, 2, 'nearest']],
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[[-1, 4], 1, Concat, [1]], # cat backbone P3
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[-1, 3, C2f, [256]], # 17 (P3/8-small)
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[-1, 1, Conv, [256, 3, 2]],
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[[-1, 12], 1, Concat, [1]], # cat head P4
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[-1, 3, C2f, [512]], # 20 (P4/16-medium)
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[-1, 1, Conv, [512, 3, 2]],
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[[-1, 9], 1, Concat, [1]], # cat head P5
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[-1, 3, C2f, [1024]], # 23 (P5/32-large)
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[[15, 18, 21], 1, Detect, [nc]], # Detect(P3, P4, P5)
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]
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