mobilenetv3-CA-LSEFAST3.yaml

# YOLOv5 🚀 by Ultralytics, GPL-3.0 license

# Parameters
nc: 20  # 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

# YOLOv5 v6.0 backbone
backbone:
  # MobileNetV3-small 12层
  # [from, number, module, args]
  # MblNetV3_Blk: [out_ch, hidden_ch, kernel_size, stride, use_se, use_hs]
  # hidden_ch表示在Inverted residuals中的扩张通道数
  # use_se表示是否使用SELayer，use_hs表示使用hard_swish还是ReLU
  [[-1, 1, ConvBNHswish, [16, 2]],                # 0-p1/2
   [-1, 1, MblNetV3_Blk, [16,  16, 3, 2, 1, 0]],  # 1-p2/4
   [-1, 1, MblNetV3_BlkCA, [24,  72, 3, 2, 0, 0]],  # 2-p3/8
   [-1, 1, MblNetV3_BlkCA, [24,  88, 3, 1, 0, 0]],  # 3-p3/8
   [-1, 1, MblNetV3_BlkCA, [40,  96, 5, 2, 1, 1]],  # 4-p4/16
   [-1, 1, MblNetV3_BlkCA, [40, 240, 5, 1, 1, 1]],  # 5-p4/16
   [-1, 1, MblNetV3_BlkLSEFast, [40, 240, 5, 1, 1, 1]],  # 6-p4/16
   [-1, 1, MblNetV3_BlkLSEFast, [48, 120, 5, 1, 1, 1]],  # 7-p4/16
   [-1, 1, MblNetV3_BlkLSEFast, [48, 144, 5, 1, 1, 1]],  # 8-p4/16
   [-1, 1, MblNetV3_BlkLSEFast, [96, 288, 5, 2, 1, 1]],  # 9-p5/32
   [-1, 1, MblNetV3_BlkLSEFast, [96, 576, 5, 1, 1, 1]],  # 10-p5/32
   [-1, 1, MblNetV3_BlkLSEFast, [96, 576, 5, 1, 1, 1]],  # 11-p5/32
   #[-1, 1, SPPF, [576, 5]],  # 11
  ]

# YOLOv5 v6.0 head
head:
  [[-1, 1, Conv, [256, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 8], 1, Concat, [1]],  # cat backbone P4
   [-1, 1, C3, [256, False]],  # 15

   [-1, 1, Conv, [128, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 3], 1, Concat, [1]],  # cat backbone P3
   [-1, 1, C3, [128, False]],  # 19 (P3/8-small)

   [-1, 1, Conv, [128, 3, 2]],
   [[-1, 16], 1, Concat, [1]],  # cat head P4
   [-1, 1, C3, [256, False]],  # 22 (P4/16-medium)

   [-1, 1, Conv, [256, 3, 2]],
   [[-1, 12], 1, Concat, [1]],  # cat head P5
   [-1, 1, C3, [512, False]],  # 25 (P5/32-large)

   [[19, 22, 25], 1, Detect, [nc, anchors]],  # Detect(P3, P4, P5)
  ]