yolov5s_improved.yaml

# YOLOv5 🚀 by Ultralytics, GPL-3.0 license

# Parameters
nc: 3  # number of classes
depth_multiple: 0.33  # model depth multiple
width_multiple: 0.50  # layer channel multiple
anchors: 3
  #- [6,7, 10,10, 12,12]  # P2/4
  #- [15,15, 18,18, 22,22]  # P3/8
  #- [17,41, 27,27, 38,37]  # P4/16
  #- [39,96, 63,56, 113,118]  # P5/32


# YOLOv5 v6.0 backbone
backbone:
  # [from, number, module, args]
  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
   [-1, 1, GhostConv, [128, 3, 2]],  # 1-P2/4
   [-1, 3, C3Ghost, [128]],
   [-1, 1, GhostConv, [256, 3, 2]],  # 3-P3/8
   [-1, 6, C3Ghost, [256]],
   [-1, 1, GhostConv, [512, 3, 2]],  # 5-P4/16
   [-1, 9, C3Ghost, [512]],
   [-1, 1, GhostConv, [1024, 3, 2]],  # 7-P5/32
   [-1, 3, C3Ghost, [1024]],
   [-1, 1, GAM_Attention, [512,512]], #9
   [-1, 1, SPPF, [1024, 5]],  # 10
  ]

# YOLOv5 v6.0 head with (P2, P3, P4, P5) outputs
head:
  [[-1, 1, GhostConv, [512, 1, 1]],   # 11
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 6], 1, Concat_bifpn, [256,256]],  # cat backbone P4
   [-1, 3, C3Ghost, [512, False]],  # 14

   [-1, 1, GhostConv, [256, 1, 1]],   # 15
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 4], 1, Concat_bifpn, [1]],  # cat backbone P3
   [-1, 3, C3Ghost, [256, False]],  # 18 (P3/8-small)
   [-1, 1, GAM_Attention, [128,128]], # 19

   [-1, 1, GhostConv, [128, 1, 1]],  # 20
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 2], 1, Concat_bifpn, [1]],  # cat backbone P2
   [-1, 1, C3Ghost, [128, False]],  # 23 (P2/4-xsmall)
     [-1, 1, GAM_Attention, [64,64]], # 24

   [-1, 1, GhostConv, [128, 3, 2]], # 25
   [[-1, 18], 1, Concat_bifpn, [1]],  # cat head P3
   [-1, 3, C3Ghost, [256, False]],  # 27 (P3/8-small)
   [-1, 1, GAM_Attention, [128,128]], # 28

   [-1, 1, GhostConv, [256, 3, 2]], # 29
   [[-1, 14], 1, Concat_bifpn, [1]],  # cat head P4
   [-1, 3, C3Ghost, [512, False]],  # 27 (P4/16-medium)
   [-1, 1, GAM_Attention, [256,256]], # 32

   [-1, 1, GhostConv, [512, 3, 2]], # 33
   [[-1, 10], 1, Concat_bifpn, [1]],  # cat head P5
   [-1, 3, C3Ghost3, [1024, False]],  # 35 (P5/32-large)
   [-1, 1, GAM_Attention, [512,512]], #36

   [[21, 24, 27, 30], 1, Detect, [nc, anchors]],  # Detect(P2, P3, P4, P5)
  ]