yaml改进

添加了GhostBottleneck的网络结构

backbone:
  # [from, number, module, args]
  [[-1, 1, Focus, [64, 3]],  # 0-P1/2
   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
   [-1, 3, GhostBottleneck, [128, 3, 1]],
   [-1, 1, GhostBottleneck, [256, 3, 2]],
   [-1, 9, GhostBottleneck, [256, 3, 1]],
   [-1, 1, SELayer, [256, 16]],   # 3-P3/8
   [-1, 1, GhostBottleneck, [512, 3, 2]],
   [-1, 9, GhostBottleneck, [512, 3, 1]],
   [-1, 1, SELayer, [512, 16]],  # 5-P4/16
   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
   [-1, 1, SPP, [1024, [5, 9, 13]]], #9
   [-1, 1, SELayer, [1024, 16]], # 10
   [-1, 3, GhostBottleneck, [1024, 3, 1]], #9
  ]

# YOLOv5 head
head:
  [[-1, 1, Conv, [512, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 8], 1, Concat, [1]],  # cat backbone P4
   [-1, 3, BottleneckCSP, [512, 3, 1]],  # 13

   [-1, 1, Conv, [256, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 5], 1, Concat, [1]],  # cat backbone P3
   [-1, 3, BottleneckCSP, [256, 3, 1]],  # 17 (P3/8-small)

   [-1, 1, Conv, [256, 3, 2]],
   [[-1, 17], 1, Concat, [1]],  # cat head P4
   [-1, 3, BottleneckCSP, [512, 3, 2]],  # 20 (P4/16-medium)

   [-1, 1, Conv, [512, 3, 2]],
   [[-1, 13], 1, Concat, [1]],  # cat head P5
   [-1, 3, BottleneckCSP, [1024, 3, 2]],  # 23 (P5/32-large)

   [[20, 23, 26], 1, Detect, [nc, anchors]],  # Detect(P3, P4, P5)
  ]

版本	Model Summary	改进策略
0	283 layers, 7276605 parameters, 7276605 gradients, 17.1 GFLOPS	原版yolov5s
1	409 layers, 5080109 parameters, 5080109 gradients, 10.8 GFLOPS	GhostBottleneck替换原来的瓶颈层

my code

backbone:
  # [from, number, module, args]
  [[-1, 1, Focus, [64, 3]],  # 0-P1/2
   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
   [-1, 3, GhostBottleneck, [128, 3, 1]],
   [-1, 1, GhostBottleneck, [256, 3, 2]],
   [-1, 9, GhostBottleneck, [256, 3, 1]],
   [-1, 1, SELayer, [256, 16]],   # 3-P3/8
   [-1, 1, GhostBottleneck, [512, 3, 2]],
   [-1, 9, GhostBottleneck, [512, 3, 1]],
   [-1, 1, SELayer, [512, 16]],  # 5-P4/16
   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
   [-1, 1, SPP, [1024, [5, 9, 13]]], #9
   [-1, 1, SELayer, [1024, 16]], # 10
   [-1, 3, GhostBottleneck, [1024, 3, 1]], #9
  ]

# YOLOv5 head
head:
  [[-1, 1, Conv, [512, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 8], 1, Concat, [1]],  # cat backbone P4
   [-1, 3, BottleneckCSP, [512, 3, 1]],  # 13

   [-1, 1, Conv, [256, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 5], 1, Concat, [1]],  # cat backbone P3
   [-1, 3, BottleneckCSP, [256, 3, 1]],  # 17 (P3/8-small)

   [-1, 1, Conv, [256, 3, 2]],
   [[-1, 17], 1, Concat, [1]],  # cat head P4
   [-1, 3, BottleneckCSP, [512, 3, 2]],  # 20 (P4/16-medium)

   [-1, 1, Conv, [512, 3, 2]],
   [[-1, 13], 1, Concat, [1]],  # cat head P5
   [-1, 3, BottleneckCSP, [1024, 3, 2]],  # 23 (P5/32-large)

   [[20, 23, 26], 1, Detect, [nc, anchors]],  # Detect(P3, P4, P5)
  ]