42 lines
1.3 KiB
YAML
42 lines
1.3 KiB
YAML
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# 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: 0.50 # layer channel multiple
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anchors: 3 # AutoAnchor evolves 3 anchors per P output layer
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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, 2 ] ], # 1-P2/4
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[ -1, 3, C3, [ 128 ] ],
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[ -1, 1, Conv, [ 256, 3, 2 ] ], # 3-P3/8
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[ -1, 6, C3, [ 256 ] ],
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[ -1, 1, Conv, [ 512, 3, 2 ] ], # 5-P4/16
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[ -1, 9, C3, [ 512 ] ],
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[ -1, 1, Conv, [ 1024, 3, 2 ] ], # 7-P5/32
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[ -1, 3, C3, [ 1024 ] ],
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[ -1, 1, SPPF, [ 1024, 5 ] ], # 9
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]
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# YOLOv5 v6.0 head with (P3, P4) outputs
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head:
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[ [ -1, 1, Conv, [ 512, 1, 1 ] ],
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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, C3, [ 512, False ] ], # 13
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[ -1, 1, Conv, [ 256, 1, 1 ] ],
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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, C3, [ 256, False ] ], # 17 (P3/8-small)
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[ -1, 1, Conv, [ 256, 3, 2 ] ],
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[ [ -1, 14 ], 1, Concat, [ 1 ] ], # cat head P4
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[ -1, 3, C3, [ 512, False ] ], # 20 (P4/16-medium)
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[ [ 17, 20 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4)
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]
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