layer {
  name: "images"
  type: "Input"
  top: "images"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 384
      dim: 640
    }
  }
}
layer {
  name: "/model.0/conv/Conv"
  type: "Convolution"
  bottom: "images"
  top: "/model.0/conv/Conv_output_0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.0/conv/Conv_output_0"
  top: "/model.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.0/conv/Conv_output_0"
  bottom: "/model.0/act/Sigmoid_output_0"
  top: "/model.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.0/act/Mul_output_0"
  top: "/model.1/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.1/conv/Conv_output_0"
  top: "/model.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.1/conv/Conv_output_0"
  bottom: "/model.1/act/Sigmoid_output_0"
  top: "/model.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.2/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.1/act/Mul_output_0"
  top: "/model.2/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.2/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.2/cv1/conv/Conv_output_0"
  top: "/model.2/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.2/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.2/cv1/conv/Conv_output_0"
  bottom: "/model.2/cv1/act/Sigmoid_output_0"
  top: "/model.2/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.2/Split"
  type: "Slice"
  bottom: "/model.2/cv1/act/Mul_output_0"
  top: "/model.2/Split_output_0"
  top: "/model.2/Split_output_1"
  slice_param {
    slice_point: 16
    axis: 1
  }
}
layer {
  name: "/model.2/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.2/Split_output_1"
  top: "/model.2/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.2/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.2/m.0/cv1/conv/Conv_output_0"
  top: "/model.2/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.2/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.2/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.2/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.2/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.2/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.2/m.0/cv1/act/Mul_output_0"
  top: "/model.2/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.2/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.2/m.0/cv2/conv/Conv_output_0"
  top: "/model.2/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.2/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.2/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.2/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.2/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.2/m.0/Add"
  type: "Eltwise"
  bottom: "/model.2/Split_output_1"
  bottom: "/model.2/m.0/cv2/act/Mul_output_0"
  top: "/model.2/m.0/Add_output_0"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "/model.2/Concat"
  type: "Concat"
  bottom: "/model.2/Split_output_0"
  bottom: "/model.2/Split_output_1"
  bottom: "/model.2/m.0/Add_output_0"
  top: "/model.2/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.2/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.2/Concat_output_0"
  top: "/model.2/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.2/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.2/cv2/conv/Conv_output_0"
  top: "/model.2/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.2/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.2/cv2/conv/Conv_output_0"
  bottom: "/model.2/cv2/act/Sigmoid_output_0"
  top: "/model.2/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.3/conv/Conv"
  type: "Convolution"
  bottom: "/model.2/cv2/act/Mul_output_0"
  top: "/model.3/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.3/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.3/conv/Conv_output_0"
  top: "/model.3/act/Sigmoid_output_0"
}
layer {
  name: "/model.3/act/Mul"
  type: "Eltwise"
  bottom: "/model.3/conv/Conv_output_0"
  bottom: "/model.3/act/Sigmoid_output_0"
  top: "/model.3/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.4/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.3/act/Mul_output_0"
  top: "/model.4/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.4/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.4/cv1/conv/Conv_output_0"
  top: "/model.4/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.4/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.4/cv1/conv/Conv_output_0"
  bottom: "/model.4/cv1/act/Sigmoid_output_0"
  top: "/model.4/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.4/Split"
  type: "Slice"
  bottom: "/model.4/cv1/act/Mul_output_0"
  top: "/model.4/Split_output_0"
  top: "/model.4/Split_output_1"
  slice_param {
    slice_point: 32
    axis: 1
  }
}
layer {
  name: "/model.4/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.4/Split_output_1"
  top: "/model.4/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.4/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.4/m.0/cv1/conv/Conv_output_0"
  top: "/model.4/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.4/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.4/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.4/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.4/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.4/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.4/m.0/cv1/act/Mul_output_0"
  top: "/model.4/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.4/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.4/m.0/cv2/conv/Conv_output_0"
  top: "/model.4/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.4/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.4/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.4/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.4/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.4/m.0/Add"
  type: "Eltwise"
  bottom: "/model.4/Split_output_1"
  bottom: "/model.4/m.0/cv2/act/Mul_output_0"
  top: "/model.4/m.0/Add_output_0"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "/model.4/m.1/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.4/m.0/Add_output_0"
  top: "/model.4/m.1/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.4/m.1/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.4/m.1/cv1/conv/Conv_output_0"
  top: "/model.4/m.1/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.4/m.1/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.4/m.1/cv1/conv/Conv_output_0"
  bottom: "/model.4/m.1/cv1/act/Sigmoid_output_0"
  top: "/model.4/m.1/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.4/m.1/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.4/m.1/cv1/act/Mul_output_0"
  top: "/model.4/m.1/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.4/m.1/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.4/m.1/cv2/conv/Conv_output_0"
  top: "/model.4/m.1/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.4/m.1/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.4/m.1/cv2/conv/Conv_output_0"
  bottom: "/model.4/m.1/cv2/act/Sigmoid_output_0"
  top: "/model.4/m.1/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.4/m.1/Add"
  type: "Eltwise"
  bottom: "/model.4/m.0/Add_output_0"
  bottom: "/model.4/m.1/cv2/act/Mul_output_0"
  top: "/model.4/m.1/Add_output_0"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "/model.4/Concat"
  type: "Concat"
  bottom: "/model.4/Split_output_0"
  bottom: "/model.4/Split_output_1"
  bottom: "/model.4/m.0/Add_output_0"
  bottom: "/model.4/m.1/Add_output_0"
  top: "/model.4/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.4/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.4/Concat_output_0"
  top: "/model.4/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.4/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.4/cv2/conv/Conv_output_0"
  top: "/model.4/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.4/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.4/cv2/conv/Conv_output_0"
  bottom: "/model.4/cv2/act/Sigmoid_output_0"
  top: "/model.4/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.5/conv/Conv"
  type: "Convolution"
  bottom: "/model.4/cv2/act/Mul_output_0"
  top: "/model.5/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.5/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.5/conv/Conv_output_0"
  top: "/model.5/act/Sigmoid_output_0"
}
layer {
  name: "/model.5/act/Mul"
  type: "Eltwise"
  bottom: "/model.5/conv/Conv_output_0"
  bottom: "/model.5/act/Sigmoid_output_0"
  top: "/model.5/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.6/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.5/act/Mul_output_0"
  top: "/model.6/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.6/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.6/cv1/conv/Conv_output_0"
  top: "/model.6/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.6/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.6/cv1/conv/Conv_output_0"
  bottom: "/model.6/cv1/act/Sigmoid_output_0"
  top: "/model.6/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.6/Split"
  type: "Slice"
  bottom: "/model.6/cv1/act/Mul_output_0"
  top: "/model.6/Split_output_0"
  top: "/model.6/Split_output_1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "/model.6/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.6/Split_output_1"
  top: "/model.6/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.6/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.6/m.0/cv1/conv/Conv_output_0"
  top: "/model.6/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.6/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.6/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.6/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.6/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.6/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.6/m.0/cv1/act/Mul_output_0"
  top: "/model.6/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.6/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.6/m.0/cv2/conv/Conv_output_0"
  top: "/model.6/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.6/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.6/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.6/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.6/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.6/m.0/Add"
  type: "Eltwise"
  bottom: "/model.6/Split_output_1"
  bottom: "/model.6/m.0/cv2/act/Mul_output_0"
  top: "/model.6/m.0/Add_output_0"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "/model.6/m.1/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.6/m.0/Add_output_0"
  top: "/model.6/m.1/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.6/m.1/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.6/m.1/cv1/conv/Conv_output_0"
  top: "/model.6/m.1/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.6/m.1/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.6/m.1/cv1/conv/Conv_output_0"
  bottom: "/model.6/m.1/cv1/act/Sigmoid_output_0"
  top: "/model.6/m.1/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.6/m.1/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.6/m.1/cv1/act/Mul_output_0"
  top: "/model.6/m.1/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.6/m.1/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.6/m.1/cv2/conv/Conv_output_0"
  top: "/model.6/m.1/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.6/m.1/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.6/m.1/cv2/conv/Conv_output_0"
  bottom: "/model.6/m.1/cv2/act/Sigmoid_output_0"
  top: "/model.6/m.1/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.6/m.1/Add"
  type: "Eltwise"
  bottom: "/model.6/m.0/Add_output_0"
  bottom: "/model.6/m.1/cv2/act/Mul_output_0"
  top: "/model.6/m.1/Add_output_0"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "/model.6/Concat"
  type: "Concat"
  bottom: "/model.6/Split_output_0"
  bottom: "/model.6/Split_output_1"
  bottom: "/model.6/m.0/Add_output_0"
  bottom: "/model.6/m.1/Add_output_0"
  top: "/model.6/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.6/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.6/Concat_output_0"
  top: "/model.6/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.6/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.6/cv2/conv/Conv_output_0"
  top: "/model.6/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.6/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.6/cv2/conv/Conv_output_0"
  bottom: "/model.6/cv2/act/Sigmoid_output_0"
  top: "/model.6/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.7/conv/Conv"
  type: "Convolution"
  bottom: "/model.6/cv2/act/Mul_output_0"
  top: "/model.7/conv/Conv_output_0"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.7/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.7/conv/Conv_output_0"
  top: "/model.7/act/Sigmoid_output_0"
}
layer {
  name: "/model.7/act/Mul"
  type: "Eltwise"
  bottom: "/model.7/conv/Conv_output_0"
  bottom: "/model.7/act/Sigmoid_output_0"
  top: "/model.7/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.8/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.7/act/Mul_output_0"
  top: "/model.8/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.8/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.8/cv1/conv/Conv_output_0"
  top: "/model.8/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.8/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.8/cv1/conv/Conv_output_0"
  bottom: "/model.8/cv1/act/Sigmoid_output_0"
  top: "/model.8/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.8/Split"
  type: "Slice"
  bottom: "/model.8/cv1/act/Mul_output_0"
  top: "/model.8/Split_output_0"
  top: "/model.8/Split_output_1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "/model.8/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.8/Split_output_1"
  top: "/model.8/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.8/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.8/m.0/cv1/conv/Conv_output_0"
  top: "/model.8/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.8/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.8/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.8/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.8/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.8/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.8/m.0/cv1/act/Mul_output_0"
  top: "/model.8/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.8/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.8/m.0/cv2/conv/Conv_output_0"
  top: "/model.8/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.8/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.8/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.8/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.8/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.8/m.0/Add"
  type: "Eltwise"
  bottom: "/model.8/Split_output_1"
  bottom: "/model.8/m.0/cv2/act/Mul_output_0"
  top: "/model.8/m.0/Add_output_0"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "/model.8/Concat"
  type: "Concat"
  bottom: "/model.8/Split_output_0"
  bottom: "/model.8/Split_output_1"
  bottom: "/model.8/m.0/Add_output_0"
  top: "/model.8/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.8/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.8/Concat_output_0"
  top: "/model.8/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.8/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.8/cv2/conv/Conv_output_0"
  top: "/model.8/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.8/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.8/cv2/conv/Conv_output_0"
  bottom: "/model.8/cv2/act/Sigmoid_output_0"
  top: "/model.8/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.9/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.8/cv2/act/Mul_output_0"
  top: "/model.9/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.9/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.9/cv1/conv/Conv_output_0"
  top: "/model.9/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.9/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.9/cv1/conv/Conv_output_0"
  bottom: "/model.9/cv1/act/Sigmoid_output_0"
  top: "/model.9/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.9/m/MaxPool"
  type: "Pooling"
  bottom: "/model.9/cv1/act/Mul_output_0"
  top: "/model.9/m/MaxPool_output_0"
  pooling_param {
    pool: MAX
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    pad_h: 2
    pad_w: 2
  }
}
layer {
  name: "/model.9/m_1/MaxPool"
  type: "Pooling"
  bottom: "/model.9/m/MaxPool_output_0"
  top: "/model.9/m_1/MaxPool_output_0"
  pooling_param {
    pool: MAX
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    pad_h: 2
    pad_w: 2
  }
}
layer {
  name: "/model.9/m_2/MaxPool"
  type: "Pooling"
  bottom: "/model.9/m_1/MaxPool_output_0"
  top: "/model.9/m_2/MaxPool_output_0"
  pooling_param {
    pool: MAX
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    pad_h: 2
    pad_w: 2
  }
}
layer {
  name: "/model.9/Concat"
  type: "Concat"
  bottom: "/model.9/cv1/act/Mul_output_0"
  bottom: "/model.9/m/MaxPool_output_0"
  bottom: "/model.9/m_1/MaxPool_output_0"
  bottom: "/model.9/m_2/MaxPool_output_0"
  top: "/model.9/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.9/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.9/Concat_output_0"
  top: "/model.9/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.9/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.9/cv2/conv/Conv_output_0"
  top: "/model.9/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.9/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.9/cv2/conv/Conv_output_0"
  bottom: "/model.9/cv2/act/Sigmoid_output_0"
  top: "/model.9/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.10/Resize"
  type: "Upsample"
  bottom: "/model.9/cv2/act/Mul_output_0"
  top: "/model.10/Resize_output_0"
  upsample_param {
    scale: 2
  }
}
layer {
  name: "/model.11/Concat"
  type: "Concat"
  bottom: "/model.10/Resize_output_0"
  bottom: "/model.6/cv2/act/Mul_output_0"
  top: "/model.11/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.12/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.11/Concat_output_0"
  top: "/model.12/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.12/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.12/cv1/conv/Conv_output_0"
  top: "/model.12/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.12/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.12/cv1/conv/Conv_output_0"
  bottom: "/model.12/cv1/act/Sigmoid_output_0"
  top: "/model.12/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.12/Split"
  type: "Slice"
  bottom: "/model.12/cv1/act/Mul_output_0"
  top: "/model.12/Split_output_0"
  top: "/model.12/Split_output_1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "/model.12/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.12/Split_output_1"
  top: "/model.12/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.12/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.12/m.0/cv1/conv/Conv_output_0"
  top: "/model.12/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.12/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.12/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.12/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.12/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.12/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.12/m.0/cv1/act/Mul_output_0"
  top: "/model.12/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.12/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.12/m.0/cv2/conv/Conv_output_0"
  top: "/model.12/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.12/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.12/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.12/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.12/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.12/Concat"
  type: "Concat"
  bottom: "/model.12/Split_output_0"
  bottom: "/model.12/Split_output_1"
  bottom: "/model.12/m.0/cv2/act/Mul_output_0"
  top: "/model.12/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.12/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.12/Concat_output_0"
  top: "/model.12/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.12/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.12/cv2/conv/Conv_output_0"
  top: "/model.12/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.12/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.12/cv2/conv/Conv_output_0"
  bottom: "/model.12/cv2/act/Sigmoid_output_0"
  top: "/model.12/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.13/Resize"
  type: "Upsample"
  bottom: "/model.12/cv2/act/Mul_output_0"
  top: "/model.13/Resize_output_0"
  upsample_param {
    scale: 2
  }
}
layer {
  name: "/model.14/Concat"
  type: "Concat"
  bottom: "/model.13/Resize_output_0"
  bottom: "/model.4/cv2/act/Mul_output_0"
  top: "/model.14/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.15/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.14/Concat_output_0"
  top: "/model.15/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.15/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.15/cv1/conv/Conv_output_0"
  top: "/model.15/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.15/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.15/cv1/conv/Conv_output_0"
  bottom: "/model.15/cv1/act/Sigmoid_output_0"
  top: "/model.15/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.15/Split"
  type: "Slice"
  bottom: "/model.15/cv1/act/Mul_output_0"
  top: "/model.15/Split_output_0"
  top: "/model.15/Split_output_1"
  slice_param {
    slice_point: 32
    axis: 1
  }
}
layer {
  name: "/model.15/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.15/Split_output_1"
  top: "/model.15/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.15/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.15/m.0/cv1/conv/Conv_output_0"
  top: "/model.15/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.15/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.15/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.15/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.15/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.15/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.15/m.0/cv1/act/Mul_output_0"
  top: "/model.15/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.15/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.15/m.0/cv2/conv/Conv_output_0"
  top: "/model.15/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.15/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.15/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.15/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.15/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.15/Concat"
  type: "Concat"
  bottom: "/model.15/Split_output_0"
  bottom: "/model.15/Split_output_1"
  bottom: "/model.15/m.0/cv2/act/Mul_output_0"
  top: "/model.15/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.15/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.15/Concat_output_0"
  top: "/model.15/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.15/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.15/cv2/conv/Conv_output_0"
  top: "/model.15/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.15/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.15/cv2/conv/Conv_output_0"
  bottom: "/model.15/cv2/act/Sigmoid_output_0"
  top: "/model.15/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv2.0/cv2.0.0/conv/Conv"
  type: "Convolution"
  bottom: "/model.15/cv2/act/Mul_output_0"
  top: "/model.22/cv2.0/cv2.0.0/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.0/cv2.0.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv2.0/cv2.0.0/conv/Conv_output_0"
  top: "/model.22/cv2.0/cv2.0.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv2.0/cv2.0.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv2.0/cv2.0.0/conv/Conv_output_0"
  bottom: "/model.22/cv2.0/cv2.0.0/act/Sigmoid_output_0"
  top: "/model.22/cv2.0/cv2.0.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv2.0/cv2.0.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.22/cv2.0/cv2.0.0/act/Mul_output_0"
  top: "/model.22/cv2.0/cv2.0.1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.0/cv2.0.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv2.0/cv2.0.1/conv/Conv_output_0"
  top: "/model.22/cv2.0/cv2.0.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv2.0/cv2.0.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv2.0/cv2.0.1/conv/Conv_output_0"
  bottom: "/model.22/cv2.0/cv2.0.1/act/Sigmoid_output_0"
  top: "/model.22/cv2.0/cv2.0.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.0/cv3.0.0/conv/Conv"
  type: "Convolution"
  bottom: "/model.15/cv2/act/Mul_output_0"
  top: "/model.22/cv3.0/cv3.0.0/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv3.0/cv3.0.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.0/cv3.0.0/conv/Conv_output_0"
  top: "/model.22/cv3.0/cv3.0.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv3.0/cv3.0.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv3.0/cv3.0.0/conv/Conv_output_0"
  bottom: "/model.22/cv3.0/cv3.0.0/act/Sigmoid_output_0"
  top: "/model.22/cv3.0/cv3.0.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.0/cv3.0.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.22/cv3.0/cv3.0.0/act/Mul_output_0"
  top: "/model.22/cv3.0/cv3.0.1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv3.0/cv3.0.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.0/cv3.0.1/conv/Conv_output_0"
  top: "/model.22/cv3.0/cv3.0.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv3.0/cv3.0.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv3.0/cv3.0.1/conv/Conv_output_0"
  bottom: "/model.22/cv3.0/cv3.0.1/act/Sigmoid_output_0"
  top: "/model.22/cv3.0/cv3.0.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.0/cv3.0.2/Conv"
  type: "Convolution"
  bottom: "/model.22/cv3.0/cv3.0.1/act/Mul_output_0"
  top: "/model.22/cv3.0/cv3.0.2/Conv_output_0"
  convolution_param {
    num_output: 1
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.0/cv2.0.2/Conv"
  type: "Convolution"
  bottom: "/model.22/cv2.0/cv2.0.1/act/Mul_output_0"
  top: "/model.22/cv2.0/cv2.0.2/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.0/cv3.0.2/Conv_output_0"
  top: "/model.22/Sigmoid_output_0"
}
layer {
  name: "/model.16/conv/Conv"
  type: "Convolution"
  bottom: "/model.15/cv2/act/Mul_output_0"
  top: "/model.16/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.16/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.16/conv/Conv_output_0"
  top: "/model.16/act/Sigmoid_output_0"
}
layer {
  name: "/model.16/act/Mul"
  type: "Eltwise"
  bottom: "/model.16/conv/Conv_output_0"
  bottom: "/model.16/act/Sigmoid_output_0"
  top: "/model.16/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.17/Concat"
  type: "Concat"
  bottom: "/model.16/act/Mul_output_0"
  bottom: "/model.12/cv2/act/Mul_output_0"
  top: "/model.17/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.18/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.17/Concat_output_0"
  top: "/model.18/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.18/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.18/cv1/conv/Conv_output_0"
  top: "/model.18/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.18/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.18/cv1/conv/Conv_output_0"
  bottom: "/model.18/cv1/act/Sigmoid_output_0"
  top: "/model.18/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.18/Split"
  type: "Slice"
  bottom: "/model.18/cv1/act/Mul_output_0"
  top: "/model.18/Split_output_0"
  top: "/model.18/Split_output_1"
  slice_param {
    slice_point: 64
    axis: 1
  }
}
layer {
  name: "/model.18/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.18/Split_output_1"
  top: "/model.18/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.18/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.18/m.0/cv1/conv/Conv_output_0"
  top: "/model.18/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.18/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.18/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.18/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.18/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.18/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.18/m.0/cv1/act/Mul_output_0"
  top: "/model.18/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.18/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.18/m.0/cv2/conv/Conv_output_0"
  top: "/model.18/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.18/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.18/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.18/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.18/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.18/Concat"
  type: "Concat"
  bottom: "/model.18/Split_output_0"
  bottom: "/model.18/Split_output_1"
  bottom: "/model.18/m.0/cv2/act/Mul_output_0"
  top: "/model.18/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.18/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.18/Concat_output_0"
  top: "/model.18/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.18/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.18/cv2/conv/Conv_output_0"
  top: "/model.18/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.18/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.18/cv2/conv/Conv_output_0"
  bottom: "/model.18/cv2/act/Sigmoid_output_0"
  top: "/model.18/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv2.1/cv2.1.0/conv/Conv"
  type: "Convolution"
  bottom: "/model.18/cv2/act/Mul_output_0"
  top: "/model.22/cv2.1/cv2.1.0/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.1/cv2.1.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv2.1/cv2.1.0/conv/Conv_output_0"
  top: "/model.22/cv2.1/cv2.1.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv2.1/cv2.1.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv2.1/cv2.1.0/conv/Conv_output_0"
  bottom: "/model.22/cv2.1/cv2.1.0/act/Sigmoid_output_0"
  top: "/model.22/cv2.1/cv2.1.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv2.1/cv2.1.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.22/cv2.1/cv2.1.0/act/Mul_output_0"
  top: "/model.22/cv2.1/cv2.1.1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.1/cv2.1.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv2.1/cv2.1.1/conv/Conv_output_0"
  top: "/model.22/cv2.1/cv2.1.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv2.1/cv2.1.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv2.1/cv2.1.1/conv/Conv_output_0"
  bottom: "/model.22/cv2.1/cv2.1.1/act/Sigmoid_output_0"
  top: "/model.22/cv2.1/cv2.1.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.1/cv3.1.0/conv/Conv"
  type: "Convolution"
  bottom: "/model.18/cv2/act/Mul_output_0"
  top: "/model.22/cv3.1/cv3.1.0/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv3.1/cv3.1.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.1/cv3.1.0/conv/Conv_output_0"
  top: "/model.22/cv3.1/cv3.1.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv3.1/cv3.1.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv3.1/cv3.1.0/conv/Conv_output_0"
  bottom: "/model.22/cv3.1/cv3.1.0/act/Sigmoid_output_0"
  top: "/model.22/cv3.1/cv3.1.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.1/cv3.1.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.22/cv3.1/cv3.1.0/act/Mul_output_0"
  top: "/model.22/cv3.1/cv3.1.1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv3.1/cv3.1.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.1/cv3.1.1/conv/Conv_output_0"
  top: "/model.22/cv3.1/cv3.1.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv3.1/cv3.1.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv3.1/cv3.1.1/conv/Conv_output_0"
  bottom: "/model.22/cv3.1/cv3.1.1/act/Sigmoid_output_0"
  top: "/model.22/cv3.1/cv3.1.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.1/cv3.1.2/Conv"
  type: "Convolution"
  bottom: "/model.22/cv3.1/cv3.1.1/act/Mul_output_0"
  top: "/model.22/cv3.1/cv3.1.2/Conv_output_0"
  convolution_param {
    num_output: 1
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.1/cv2.1.2/Conv"
  type: "Convolution"
  bottom: "/model.22/cv2.1/cv2.1.1/act/Mul_output_0"
  top: "/model.22/cv2.1/cv2.1.2/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/Sigmoid_1"
  type: "Sigmoid"
  bottom: "/model.22/cv3.1/cv3.1.2/Conv_output_0"
  top: "/model.22/Sigmoid_1_output_0"
}
layer {
  name: "/model.19/conv/Conv"
  type: "Convolution"
  bottom: "/model.18/cv2/act/Mul_output_0"
  top: "/model.19/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 2
    stride: 2
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.19/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.19/conv/Conv_output_0"
  top: "/model.19/act/Sigmoid_output_0"
}
layer {
  name: "/model.19/act/Mul"
  type: "Eltwise"
  bottom: "/model.19/conv/Conv_output_0"
  bottom: "/model.19/act/Sigmoid_output_0"
  top: "/model.19/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.20/Concat"
  type: "Concat"
  bottom: "/model.19/act/Mul_output_0"
  bottom: "/model.9/cv2/act/Mul_output_0"
  top: "/model.20/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.21/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.20/Concat_output_0"
  top: "/model.21/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.21/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.21/cv1/conv/Conv_output_0"
  top: "/model.21/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.21/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.21/cv1/conv/Conv_output_0"
  bottom: "/model.21/cv1/act/Sigmoid_output_0"
  top: "/model.21/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.21/Split"
  type: "Slice"
  bottom: "/model.21/cv1/act/Mul_output_0"
  top: "/model.21/Split_output_0"
  top: "/model.21/Split_output_1"
  slice_param {
    slice_point: 128
    axis: 1
  }
}
layer {
  name: "/model.21/m.0/cv1/conv/Conv"
  type: "Convolution"
  bottom: "/model.21/Split_output_1"
  top: "/model.21/m.0/cv1/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.21/m.0/cv1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.21/m.0/cv1/conv/Conv_output_0"
  top: "/model.21/m.0/cv1/act/Sigmoid_output_0"
}
layer {
  name: "/model.21/m.0/cv1/act/Mul"
  type: "Eltwise"
  bottom: "/model.21/m.0/cv1/conv/Conv_output_0"
  bottom: "/model.21/m.0/cv1/act/Sigmoid_output_0"
  top: "/model.21/m.0/cv1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.21/m.0/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.21/m.0/cv1/act/Mul_output_0"
  top: "/model.21/m.0/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.21/m.0/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.21/m.0/cv2/conv/Conv_output_0"
  top: "/model.21/m.0/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.21/m.0/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.21/m.0/cv2/conv/Conv_output_0"
  bottom: "/model.21/m.0/cv2/act/Sigmoid_output_0"
  top: "/model.21/m.0/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.21/Concat"
  type: "Concat"
  bottom: "/model.21/Split_output_0"
  bottom: "/model.21/Split_output_1"
  bottom: "/model.21/m.0/cv2/act/Mul_output_0"
  top: "/model.21/Concat_output_0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.21/cv2/conv/Conv"
  type: "Convolution"
  bottom: "/model.21/Concat_output_0"
  top: "/model.21/cv2/conv/Conv_output_0"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.21/cv2/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.21/cv2/conv/Conv_output_0"
  top: "/model.21/cv2/act/Sigmoid_output_0"
}
layer {
  name: "/model.21/cv2/act/Mul"
  type: "Eltwise"
  bottom: "/model.21/cv2/conv/Conv_output_0"
  bottom: "/model.21/cv2/act/Sigmoid_output_0"
  top: "/model.21/cv2/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv2.2/cv2.2.0/conv/Conv"
  type: "Convolution"
  bottom: "/model.21/cv2/act/Mul_output_0"
  top: "/model.22/cv2.2/cv2.2.0/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.2/cv2.2.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv2.2/cv2.2.0/conv/Conv_output_0"
  top: "/model.22/cv2.2/cv2.2.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv2.2/cv2.2.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv2.2/cv2.2.0/conv/Conv_output_0"
  bottom: "/model.22/cv2.2/cv2.2.0/act/Sigmoid_output_0"
  top: "/model.22/cv2.2/cv2.2.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv2.2/cv2.2.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.22/cv2.2/cv2.2.0/act/Mul_output_0"
  top: "/model.22/cv2.2/cv2.2.1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.2/cv2.2.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv2.2/cv2.2.1/conv/Conv_output_0"
  top: "/model.22/cv2.2/cv2.2.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv2.2/cv2.2.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv2.2/cv2.2.1/conv/Conv_output_0"
  bottom: "/model.22/cv2.2/cv2.2.1/act/Sigmoid_output_0"
  top: "/model.22/cv2.2/cv2.2.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.2/cv3.2.0/conv/Conv"
  type: "Convolution"
  bottom: "/model.21/cv2/act/Mul_output_0"
  top: "/model.22/cv3.2/cv3.2.0/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv3.2/cv3.2.0/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.2/cv3.2.0/conv/Conv_output_0"
  top: "/model.22/cv3.2/cv3.2.0/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv3.2/cv3.2.0/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv3.2/cv3.2.0/conv/Conv_output_0"
  bottom: "/model.22/cv3.2/cv3.2.0/act/Sigmoid_output_0"
  top: "/model.22/cv3.2/cv3.2.0/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.2/cv3.2.1/conv/Conv"
  type: "Convolution"
  bottom: "/model.22/cv3.2/cv3.2.0/act/Mul_output_0"
  top: "/model.22/cv3.2/cv3.2.1/conv/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    pad: 1
    kernel_size: 3
    kernel_size: 3
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv3.2/cv3.2.1/act/Sigmoid"
  type: "Sigmoid"
  bottom: "/model.22/cv3.2/cv3.2.1/conv/Conv_output_0"
  top: "/model.22/cv3.2/cv3.2.1/act/Sigmoid_output_0"
}
layer {
  name: "/model.22/cv3.2/cv3.2.1/act/Mul"
  type: "Eltwise"
  bottom: "/model.22/cv3.2/cv3.2.1/conv/Conv_output_0"
  bottom: "/model.22/cv3.2/cv3.2.1/act/Sigmoid_output_0"
  top: "/model.22/cv3.2/cv3.2.1/act/Mul_output_0"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "/model.22/cv3.2/cv3.2.2/Conv"
  type: "Convolution"
  bottom: "/model.22/cv3.2/cv3.2.1/act/Mul_output_0"
  top: "/model.22/cv3.2/cv3.2.2/Conv_output_0"
  convolution_param {
    num_output: 1
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/cv2.2/cv2.2.2/Conv"
  type: "Convolution"
  bottom: "/model.22/cv2.2/cv2.2.1/act/Mul_output_0"
  top: "/model.22/cv2.2/cv2.2.2/Conv_output_0"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    pad: 0
    kernel_size: 1
    kernel_size: 1
    group: 1
    stride: 1
    stride: 1
    dilation: 1
    dilation: 1
  }
}
layer {
  name: "/model.22/Sigmoid_2"
  type: "Sigmoid"
  bottom: "/model.22/cv3.2/cv3.2.2/Conv_output_0"
  top: "/model.22/Sigmoid_2_output_0"
}
layer {
  name: "/model.22/Concat"
  type: "Concat"
  bottom: "/model.22/cv2.0/cv2.0.2/Conv_output_0"
  bottom: "/model.22/Sigmoid_output_0"
  top: "output0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.22/Concat_1"
  type: "Concat"
  bottom: "/model.22/cv2.1/cv2.1.2/Conv_output_0"
  bottom: "/model.22/Sigmoid_1_output_0"
  top: "output1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "/model.22/Concat_2"
  type: "Concat"
  bottom: "/model.22/cv2.2/cv2.2.2/Conv_output_0"
  bottom: "/model.22/Sigmoid_2_output_0"
  top: "output2"
  concat_param {
    axis: 1
  }
}