YOLOv7 tiny 新增小目标检测层

来源：爱go旅游网

修改yolov7-tiny.yaml文件
①修改nc 自己数据集类别数；
②设置anchors 4 #[5,6, 8,14, 15,11] ## P2或者自动调用autoanchor.py
③新增 ###模块
④修改[[92,93,94,95], 1, IDetect, [nc, anchors]], # Detect(P2,P3, P4, P5)

 parameters

nc: 5  # number of classes 
depth_multiple: 1.0  # model depth multiple
width_multiple: 1.0  # layer channel multiple

# anchors

anchors: 4

  # - [10,13, 16,30, 33,23]  # P3/8

  # - [30,61, 62,45, 59,119]  # P4/16

  # - [116,90, 156,198, 373,326]  # P5/32

# yolov7-tiny backbone

backbone:

  #[from, number, module, args] c2, k=1, s=1, p=None, g=1, act=True

   [[-1, 1, Conv, [32, 3, 2, None, 1, nn.LeakyReLU(0.1)]],  # 0-P1/2 
   
   [-1, 1, Conv, [, 3, 2, None, 1, nn.LeakyReLU(0.1)]],  # 1-P2/4    
   
   [-1, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [32, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [32, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 7

   [-1, 1, MP, []],  # 8-P3/8
   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 14

   [-1, 1, MP, []],  # 15-P4/16
   [-1, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [128, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [128, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 21

   [-1, 1, MP, []],  # 22-P5/32
   [-1, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [256, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [256, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [512, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 28
  ]

# yolov7-tiny head

head:
  [[-1, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, SP, [5]],
   [-2, 1, SP, [9]],
   [-3, 1, SP, [13]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -7], 1, Concat, [1]],
   [-1, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 37

   [-1, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [21, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]], # route backbone P4
   [[-1, -2], 1, Concat, [1]],

   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 47

   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [14, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]], # route backbone P3
   [[-1, -2], 1, Concat, [1]],
   
   ##########################
   # ELAN
   [-1, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [32, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [32, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 57
   # CBL
   [-1, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   ## UP
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],

   [7, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]], # route backbone P4 
   #Concat
   [[-1, -2], 1, Concat, [1]],
   #ELAN
   [-1, 1, Conv, [16, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [16, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [16, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [16, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 67  x-small head
   #CBL 
   [-1, 1, Conv, [, 3, 2, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, 57], 1, Concat, [1]], 
   ###############################

   [-1, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [32, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [32, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [32, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 75  small head

   [-1, 1, Conv, [128, 3, 2, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, 47], 1, Concat, [1]],

   [-1, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 83 middle head

   [-1, 1, Conv, [256, 3, 2, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, 37], 1, Concat, [1]],

   [-1, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-2, 1, Conv, [128, 1, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [128, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [-1, 1, Conv, [128, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [[-1, -2, -3, -4], 1, Concat, [1]],
   [-1, 1, Conv, [256, 1, 1, None, 1, nn.LeakyReLU(0.1)]],  # 91 large head
      
   [67, 1, Conv, [, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [75, 1, Conv, [128, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [83, 1, Conv, [256, 3, 1, None, 1, nn.LeakyReLU(0.1)]],
   [91, 1, Conv, [512, 3, 1, None, 1, nn.LeakyReLU(0.1)]],

   [[92,93,94,95], 1, IDetect, [nc, anchors]],   # Detect(P2,P3, P4, P5)
  ]

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