40 lines
1.3 KiB
YAML
40 lines
1.3 KiB
YAML
# Parameters
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nc: 80 # number of classes
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depth_multiple: 1.0 # model depth multiple
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width_multiple: 1.0 # layer channel multiple
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anchors:
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- [ 10,14, 23,27, 37,58 ] # P4/16
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- [ 81,82, 135,169, 344,319 ] # P5/32
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# YOLOv3-tiny backbone
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backbone:
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# [from, number, module, args]
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[ [ -1, 1, Conv, [ 16, 3, 1 ] ], # 0
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[ -1, 1, nn.MaxPool2d, [ 2, 2, 0 ] ], # 1-P1/2
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[ -1, 1, Conv, [ 32, 3, 1 ] ],
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[ -1, 1, nn.MaxPool2d, [ 2, 2, 0 ] ], # 3-P2/4
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[ -1, 1, Conv, [ 64, 3, 1 ] ],
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[ -1, 1, nn.MaxPool2d, [ 2, 2, 0 ] ], # 5-P3/8
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[ -1, 1, Conv, [ 128, 3, 1 ] ],
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[ -1, 1, nn.MaxPool2d, [ 2, 2, 0 ] ], # 7-P4/16
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[ -1, 1, Conv, [ 256, 3, 1 ] ],
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[ -1, 1, nn.MaxPool2d, [ 2, 2, 0 ] ], # 9-P5/32
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[ -1, 1, Conv, [ 512, 3, 1 ] ],
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[ -1, 1, nn.ZeroPad2d, [ [ 0, 1, 0, 1 ] ] ], # 11
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[ -1, 1, nn.MaxPool2d, [ 2, 1, 0 ] ], # 12
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]
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# YOLOv3-tiny head
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head:
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[ [ -1, 1, Conv, [ 1024, 3, 1 ] ],
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[ -1, 1, Conv, [ 256, 1, 1 ] ],
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[ -1, 1, Conv, [ 512, 3, 1 ] ], # 15 (P5/32-large)
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[ -2, 1, Conv, [ 128, 1, 1 ] ],
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[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ],
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[ [ -1, 8 ], 1, Concat, [ 1 ] ], # cat backbone P4
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[ -1, 1, Conv, [ 256, 3, 1 ] ], # 19 (P4/16-medium)
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[ [ 19, 15 ], 1, Detect, [ nc, anchors ] ], # Detect(P4, P5)
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]
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