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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: | ||
- [ 10,13, 16,30, 33,23 ] # P3/8 | ||
- [ 30,61, 62,45, 59,119 ] # P4/16 | ||
- [ 116,90, 156,198, 373,326 ] # P5/32 | ||
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# YOLOv5 backbone | ||
backbone: | ||
# [from, number, module, args] | ||
[ [ -1, 1, Focus, [ 64, 3 ] ], # 0-P1/2 | ||
[ -1, 1, Conv, [ 128, 3, 2 ] ], # 1-P2/4 | ||
[ -1, 3, Bottleneck, [ 128 ] ], | ||
[ -1, 1, Conv, [ 256, 3, 2 ] ], # 3-P3/8 | ||
[ -1, 9, BottleneckCSP, [ 256 ] ], | ||
[ -1, 1, Conv, [ 512, 3, 2 ] ], # 5-P4/16 | ||
[ -1, 9, BottleneckCSP, [ 512 ] ], | ||
[ -1, 1, Conv, [ 1024, 3, 2 ] ], # 7-P5/32 | ||
[ -1, 1, SPP, [ 1024, [ 5, 9, 13 ] ] ], | ||
[ -1, 6, BottleneckCSP, [ 1024 ] ], # 9 | ||
] | ||
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# YOLOv5 BiFPN head | ||
head: | ||
[ [ -1, 3, BottleneckCSP, [ 1024, False ] ], # 10 (P5/32-large) | ||
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[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ], | ||
[ [ -1, 20, 6 ], 1, Concat, [ 1 ] ], # cat P4 | ||
[ -1, 1, Conv, [ 512, 1, 1 ] ], | ||
[ -1, 3, BottleneckCSP, [ 512, False ] ], # 14 (P4/16-medium) | ||
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[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ], | ||
[ [ -1, 4 ], 1, Concat, [ 1 ] ], # cat backbone P3 | ||
[ -1, 1, Conv, [ 256, 1, 1 ] ], | ||
[ -1, 3, BottleneckCSP, [ 256, False ] ], # 18 (P3/8-small) | ||
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[ [ 18, 14, 10 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5) | ||
] |