59 lines
1.7 KiB
YAML
59 lines
1.7 KiB
YAML
# parameters
|
|
nc: 1 # number of classes
|
|
depth_multiple: 1.0 # model depth multiple
|
|
width_multiple: 1.0 # layer channel multiple
|
|
|
|
# anchors
|
|
anchors:
|
|
- [6,7, 9,11, 13,16] # P3/8
|
|
- [18,23, 26,33, 37,47] # P4/16
|
|
- [54,67, 77,104, 112,154] # P5/32
|
|
- [174,238, 258,355, 445,568] # P6/64
|
|
|
|
# YOLOv5 backbone
|
|
backbone:
|
|
# [from, number, module, args]
|
|
[[-1, 1, StemBlock, [32, 3, 2]], # 0-P2/4
|
|
[-1, 1, ShuffleV2Block, [128, 2]], # 1-P3/8
|
|
[-1, 3, ShuffleV2Block, [128, 1]], # 2
|
|
[-1, 1, ShuffleV2Block, [256, 2]], # 3-P4/16
|
|
[-1, 7, ShuffleV2Block, [256, 1]], # 4
|
|
[-1, 1, ShuffleV2Block, [384, 2]], # 5-P5/32
|
|
[-1, 3, ShuffleV2Block, [384, 1]], # 6
|
|
[-1, 1, ShuffleV2Block, [512, 2]], # 7-P6/64
|
|
[-1, 3, ShuffleV2Block, [512, 1]], # 8
|
|
]
|
|
|
|
# YOLOv5 head
|
|
head:
|
|
[[-1, 1, Conv, [128, 1, 1]],
|
|
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
|
[[-1, 6], 1, Concat, [1]], # cat backbone P5
|
|
[-1, 1, C3, [128, False]], # 12
|
|
|
|
[-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]], # 16 (P4/8-small)
|
|
|
|
[-1, 1, Conv, [128, 1, 1]],
|
|
[-1, 1, nn.Upsample, [None, 2, 'nearest']],
|
|
[[-1, 2], 1, Concat, [1]], # cat backbone P3
|
|
[-1, 1, C3, [128, False]], # 20 (P3/8-small)
|
|
|
|
[-1, 1, Conv, [128, 3, 2]],
|
|
[[-1, 17], 1, Concat, [1]], # cat head P4
|
|
[-1, 1, C3, [128, False]], # 23 (P4/16-medium)
|
|
|
|
[-1, 1, Conv, [128, 3, 2]],
|
|
[[-1, 13], 1, Concat, [1]], # cat head P5
|
|
[-1, 1, C3, [128, False]], # 26 (P5/32-large)
|
|
|
|
[-1, 1, Conv, [128, 3, 2]],
|
|
[[-1, 9], 1, Concat, [1]], # cat head P6
|
|
[-1, 1, C3, [128, False]], # 29 (P6/64-large)
|
|
|
|
[[20, 23, 26, 29], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5)
|
|
]
|
|
|