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v5Lite-s.yaml
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v5Lite-s.yaml
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# create by pogg
# parameters
nc: 80 # number of classes
depth_multiple: 1.0 # model depth multiple
width_multiple: 1.0 # layer channel multiple
# anchors
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
# custom backbone
backbone:
# [from, number, module, args]
[ [ -1, 1, conv_bn_relu_maxpool, [ 32 ] ], # 0-P2/4
[ -1, 1, Shuffle_Block, [ 116, 2 ] ], # 1-P3/8
[ -1, 3, Shuffle_Block, [ 116, 1 ] ], # 2
[ -1, 1, Shuffle_Block, [ 232, 2 ] ], # 3-P4/16
[ -1, 7, Shuffle_Block, [ 232, 1 ] ], # 4
[ -1, 1, Shuffle_Block, [ 464, 2 ] ], # 5-P5/32
[ -1, 3, Shuffle_Block, [ 464, 1 ] ], # 6
]
# YOLOv5 head
head:
[ [ -1, 1, Conv, [ 128, 1, 1 ] ],
[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ],
[ [ -1, 4 ], 1, Concat, [ 1 ] ], # cat backbone P4
[ -1, 1, C3, [ 128, False ] ], # 10
[ -1, 1, Conv, [ 64, 1, 1 ] ],
[ -1, 1, nn.Upsample, [ None, 2, 'nearest' ] ],
[ [ -1, 2 ], 1, Concat, [ 1 ] ], # cat backbone P3
[ -1, 1, C3, [ 64, False ] ], # 14 (P3/8-small)
[ -1, 1, Conv, [ 64, 3, 2 ] ],
[ [ -1, 11 ], 1, Concat, [ 1 ] ], # cat head P4
[ -1, 1, C3, [ 128, False ] ], # 17 (P4/16-medium)
[ -1, 1, Conv, [ 128, 3, 2 ] ],
[ [ -1, 7 ], 1, Concat, [ 1 ] ], # cat head P5
[ -1, 1, C3, [ 256, False ] ], # 20 (P5/32-large)
[ [ 14, 17, 20 ], 1, Detect, [ nc, anchors ] ], # Detect(P3, P4, P5)
]