name: "ssd_mobilenetv2_fpn"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 300
      dim: 300
    }
  }
}
layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "data"
  top: "Convolution1"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm1"
  type: "BatchNorm"
  bottom: "Convolution1"
  top: "Convolution1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale1"
  type: "Scale"
  bottom: "Convolution1"
  top: "Convolution1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv0"
  type: "ReLU"
  bottom: "Convolution1"
  top: "Convolution1"
}
layer {
  name: "Convolution2"
  type: "Convolution"
  bottom: "Convolution1"
  top: "Convolution2"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm2"
  type: "BatchNorm"
  bottom: "Convolution2"
  top: "Convolution2"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale2"
  type: "Scale"
  bottom: "Convolution2"
  top: "Convolution2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv1"
  type: "ReLU"
  bottom: "Convolution2"
  top: "Convolution2"
}
layer {
  name: "Convolution3"
  type: "Convolution"
  bottom: "Convolution2"
  top: "Convolution3"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 32
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm3"
  type: "BatchNorm"
  bottom: "Convolution3"
  top: "Convolution3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale3"
  type: "Scale"
  bottom: "Convolution3"
  top: "Convolution3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv2"
  type: "ReLU"
  bottom: "Convolution3"
  top: "Convolution3"
}
layer {
  name: "Convolution4"
  type: "Convolution"
  bottom: "Convolution3"
  top: "Convolution4"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm4"
  type: "BatchNorm"
  bottom: "Convolution4"
  top: "Convolution4"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv3"
  type: "Scale"
  bottom: "Convolution4"
  top: "Convolution4"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution5"
  type: "Convolution"
  bottom: "Convolution4"
  top: "Convolution5"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm5"
  type: "BatchNorm"
  bottom: "Convolution5"
  top: "Convolution5"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale4"
  type: "Scale"
  bottom: "Convolution5"
  top: "Convolution5"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv4"
  type: "ReLU"
  bottom: "Convolution5"
  top: "Convolution5"
}
layer {
  name: "Convolution6"
  type: "Convolution"
  bottom: "Convolution5"
  top: "Convolution6"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 96
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm6"
  type: "BatchNorm"
  bottom: "Convolution6"
  top: "Convolution6"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale5"
  type: "Scale"
  bottom: "Convolution6"
  top: "Convolution6"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv5"
  type: "ReLU"
  bottom: "Convolution6"
  top: "Convolution6"
}
layer {
  name: "Convolution7"
  type: "Convolution"
  bottom: "Convolution6"
  top: "Convolution7"
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm7"
  type: "BatchNorm"
  bottom: "Convolution7"
  top: "Convolution7"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv6"
  type: "Scale"
  bottom: "Convolution7"
  top: "Convolution7"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution8"
  type: "Convolution"
  bottom: "Convolution7"
  top: "Convolution8"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm8"
  type: "BatchNorm"
  bottom: "Convolution8"
  top: "Convolution8"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale6"
  type: "Scale"
  bottom: "Convolution8"
  top: "Convolution8"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv7"
  type: "ReLU"
  bottom: "Convolution8"
  top: "Convolution8"
}
layer {
  name: "Convolution9"
  type: "Convolution"
  bottom: "Convolution8"
  top: "Convolution9"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 144
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm9"
  type: "BatchNorm"
  bottom: "Convolution9"
  top: "Convolution9"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale7"
  type: "Scale"
  bottom: "Convolution9"
  top: "Convolution9"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv8"
  type: "ReLU"
  bottom: "Convolution9"
  top: "Convolution9"
}
layer {
  name: "Convolution10"
  type: "Convolution"
  bottom: "Convolution9"
  top: "Convolution10"
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm10"
  type: "BatchNorm"
  bottom: "Convolution10"
  top: "Convolution10"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv9"
  type: "Scale"
  bottom: "Convolution10"
  top: "Convolution10"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt1"
  type: "Eltwise"
  bottom: "Convolution7"
  bottom: "Convolution10"
  top: "elt1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution11"
  type: "Convolution"
  bottom: "elt1"
  top: "Convolution11"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm11"
  type: "BatchNorm"
  bottom: "Convolution11"
  top: "Convolution11"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale8"
  type: "Scale"
  bottom: "Convolution11"
  top: "Convolution11"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv10"
  type: "ReLU"
  bottom: "Convolution11"
  top: "Convolution11"
}
layer {
  name: "Convolution12"
  type: "Convolution"
  bottom: "Convolution11"
  top: "Convolution12"
  convolution_param {
    num_output: 144
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 144
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm12"
  type: "BatchNorm"
  bottom: "Convolution12"
  top: "Convolution12"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale9"
  type: "Scale"
  bottom: "Convolution12"
  top: "Convolution12"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv11"
  type: "ReLU"
  bottom: "Convolution12"
  top: "Convolution12"
}
layer {
  name: "Convolution13"
  type: "Convolution"
  bottom: "Convolution12"
  top: "Convolution13"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm13"
  type: "BatchNorm"
  bottom: "Convolution13"
  top: "Convolution13"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv12"
  type: "Scale"
  bottom: "Convolution13"
  top: "Convolution13"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution14"
  type: "Convolution"
  bottom: "Convolution13"
  top: "Convolution14"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm14"
  type: "BatchNorm"
  bottom: "Convolution14"
  top: "Convolution14"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale10"
  type: "Scale"
  bottom: "Convolution14"
  top: "Convolution14"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv13"
  type: "ReLU"
  bottom: "Convolution14"
  top: "Convolution14"
}
layer {
  name: "Convolution15"
  type: "Convolution"
  bottom: "Convolution14"
  top: "Convolution15"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 192
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm15"
  type: "BatchNorm"
  bottom: "Convolution15"
  top: "Convolution15"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale11"
  type: "Scale"
  bottom: "Convolution15"
  top: "Convolution15"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv14"
  type: "ReLU"
  bottom: "Convolution15"
  top: "Convolution15"
}
layer {
  name: "Convolution16"
  type: "Convolution"
  bottom: "Convolution15"
  top: "Convolution16"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm16"
  type: "BatchNorm"
  bottom: "Convolution16"
  top: "Convolution16"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv15"
  type: "Scale"
  bottom: "Convolution16"
  top: "Convolution16"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt2"
  type: "Eltwise"
  bottom: "Convolution13"
  bottom: "Convolution16"
  top: "elt2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution17"
  type: "Convolution"
  bottom: "elt2"
  top: "Convolution17"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm17"
  type: "BatchNorm"
  bottom: "Convolution17"
  top: "Convolution17"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale12"
  type: "Scale"
  bottom: "Convolution17"
  top: "Convolution17"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv16"
  type: "ReLU"
  bottom: "Convolution17"
  top: "Convolution17"
}
layer {
  name: "Convolution18"
  type: "Convolution"
  bottom: "Convolution17"
  top: "Convolution18"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 192
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm18"
  type: "BatchNorm"
  bottom: "Convolution18"
  top: "Convolution18"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale13"
  type: "Scale"
  bottom: "Convolution18"
  top: "Convolution18"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv17"
  type: "ReLU"
  bottom: "Convolution18"
  top: "Convolution18"
}
layer {
  name: "Convolution19"
  type: "Convolution"
  bottom: "Convolution18"
  top: "Convolution19"
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm19"
  type: "BatchNorm"
  bottom: "Convolution19"
  top: "Convolution19"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv18"
  type: "Scale"
  bottom: "Convolution19"
  top: "Convolution19"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt3"
  type: "Eltwise"
  bottom: "elt2"
  bottom: "Convolution19"
  top: "elt3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution20"
  type: "Convolution"
  bottom: "elt3"
  top: "Convolution20"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm20"
  type: "BatchNorm"
  bottom: "Convolution20"
  top: "Convolution20"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale14"
  type: "Scale"
  bottom: "Convolution20"
  top: "Convolution20"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv19"
  type: "ReLU"
  bottom: "Convolution20"
  top: "Convolution20"
}
layer {
  name: "Convolution21"
  type: "Convolution"
  bottom: "Convolution20"
  top: "Convolution21"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 192
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm21"
  type: "BatchNorm"
  bottom: "Convolution21"
  top: "Convolution21"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale15"
  type: "Scale"
  bottom: "Convolution21"
  top: "Convolution21"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv20"
  type: "ReLU"
  bottom: "Convolution21"
  top: "Convolution21"
}
layer {
  name: "Convolution22"
  type: "Convolution"
  bottom: "Convolution21"
  top: "Convolution22"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm22"
  type: "BatchNorm"
  bottom: "Convolution22"
  top: "Convolution22"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv21"
  type: "Scale"
  bottom: "Convolution22"
  top: "Convolution22"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution23"
  type: "Convolution"
  bottom: "Convolution22"
  top: "Convolution23"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm23"
  type: "BatchNorm"
  bottom: "Convolution23"
  top: "Convolution23"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale16"
  type: "Scale"
  bottom: "Convolution23"
  top: "Convolution23"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv22"
  type: "ReLU"
  bottom: "Convolution23"
  top: "Convolution23"
}
layer {
  name: "Convolution24"
  type: "Convolution"
  bottom: "Convolution23"
  top: "Convolution24"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 384
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm24"
  type: "BatchNorm"
  bottom: "Convolution24"
  top: "Convolution24"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale17"
  type: "Scale"
  bottom: "Convolution24"
  top: "Convolution24"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv23"
  type: "ReLU"
  bottom: "Convolution24"
  top: "Convolution24"
}
layer {
  name: "Convolution25"
  type: "Convolution"
  bottom: "Convolution24"
  top: "Convolution25"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm25"
  type: "BatchNorm"
  bottom: "Convolution25"
  top: "Convolution25"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv24"
  type: "Scale"
  bottom: "Convolution25"
  top: "Convolution25"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt4"
  type: "Eltwise"
  bottom: "Convolution22"
  bottom: "Convolution25"
  top: "elt4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution26"
  type: "Convolution"
  bottom: "elt4"
  top: "Convolution26"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm26"
  type: "BatchNorm"
  bottom: "Convolution26"
  top: "Convolution26"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale18"
  type: "Scale"
  bottom: "Convolution26"
  top: "Convolution26"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv25"
  type: "ReLU"
  bottom: "Convolution26"
  top: "Convolution26"
}
layer {
  name: "Convolution27"
  type: "Convolution"
  bottom: "Convolution26"
  top: "Convolution27"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 384
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm27"
  type: "BatchNorm"
  bottom: "Convolution27"
  top: "Convolution27"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale19"
  type: "Scale"
  bottom: "Convolution27"
  top: "Convolution27"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv26"
  type: "ReLU"
  bottom: "Convolution27"
  top: "Convolution27"
}
layer {
  name: "Convolution28"
  type: "Convolution"
  bottom: "Convolution27"
  top: "Convolution28"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm28"
  type: "BatchNorm"
  bottom: "Convolution28"
  top: "Convolution28"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv27"
  type: "Scale"
  bottom: "Convolution28"
  top: "Convolution28"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt5"
  type: "Eltwise"
  bottom: "elt4"
  bottom: "Convolution28"
  top: "elt5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution29"
  type: "Convolution"
  bottom: "elt5"
  top: "Convolution29"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm29"
  type: "BatchNorm"
  bottom: "Convolution29"
  top: "Convolution29"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale20"
  type: "Scale"
  bottom: "Convolution29"
  top: "Convolution29"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv28"
  type: "ReLU"
  bottom: "Convolution29"
  top: "Convolution29"
}
layer {
  name: "Convolution30"
  type: "Convolution"
  bottom: "Convolution29"
  top: "Convolution30"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 384
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm30"
  type: "BatchNorm"
  bottom: "Convolution30"
  top: "Convolution30"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale21"
  type: "Scale"
  bottom: "Convolution30"
  top: "Convolution30"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv29"
  type: "ReLU"
  bottom: "Convolution30"
  top: "Convolution30"
}
layer {
  name: "Convolution31"
  type: "Convolution"
  bottom: "Convolution30"
  top: "Convolution31"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm31"
  type: "BatchNorm"
  bottom: "Convolution31"
  top: "Convolution31"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv30"
  type: "Scale"
  bottom: "Convolution31"
  top: "Convolution31"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt6"
  type: "Eltwise"
  bottom: "elt5"
  bottom: "Convolution31"
  top: "elt6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution32"
  type: "Convolution"
  bottom: "elt6"
  top: "Convolution32"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm32"
  type: "BatchNorm"
  bottom: "Convolution32"
  top: "Convolution32"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale22"
  type: "Scale"
  bottom: "Convolution32"
  top: "Convolution32"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv31"
  type: "ReLU"
  bottom: "Convolution32"
  top: "Convolution32"
}
layer {
  name: "Convolution33"
  type: "Convolution"
  bottom: "Convolution32"
  top: "Convolution33"
  convolution_param {
    num_output: 384
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 384
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm33"
  type: "BatchNorm"
  bottom: "Convolution33"
  top: "Convolution33"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale23"
  type: "Scale"
  bottom: "Convolution33"
  top: "Convolution33"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv32"
  type: "ReLU"
  bottom: "Convolution33"
  top: "Convolution33"
}
layer {
  name: "Convolution34"
  type: "Convolution"
  bottom: "Convolution33"
  top: "Convolution34"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm34"
  type: "BatchNorm"
  bottom: "Convolution34"
  top: "Convolution34"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv33"
  type: "Scale"
  bottom: "Convolution34"
  top: "Convolution34"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution35"
  type: "Convolution"
  bottom: "Convolution34"
  top: "Convolution35"
  convolution_param {
    num_output: 768
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm35"
  type: "BatchNorm"
  bottom: "Convolution35"
  top: "Convolution35"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale24"
  type: "Scale"
  bottom: "Convolution35"
  top: "Convolution35"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv34"
  type: "ReLU"
  bottom: "Convolution35"
  top: "Convolution35"
}
layer {
  name: "Convolution36"
  type: "Convolution"
  bottom: "Convolution35"
  top: "Convolution36"
  convolution_param {
    num_output: 768
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 768
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm36"
  type: "BatchNorm"
  bottom: "Convolution36"
  top: "Convolution36"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale25"
  type: "Scale"
  bottom: "Convolution36"
  top: "Convolution36"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv35"
  type: "ReLU"
  bottom: "Convolution36"
  top: "Convolution36"
}
layer {
  name: "Convolution37"
  type: "Convolution"
  bottom: "Convolution36"
  top: "Convolution37"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm37"
  type: "BatchNorm"
  bottom: "Convolution37"
  top: "Convolution37"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv36"
  type: "Scale"
  bottom: "Convolution37"
  top: "Convolution37"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt7"
  type: "Eltwise"
  bottom: "Convolution34"
  bottom: "Convolution37"
  top: "elt7"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution38"
  type: "Convolution"
  bottom: "elt7"
  top: "Convolution38"
  convolution_param {
    num_output: 768
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm38"
  type: "BatchNorm"
  bottom: "Convolution38"
  top: "Convolution38"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale26"
  type: "Scale"
  bottom: "Convolution38"
  top: "Convolution38"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv37"
  type: "ReLU"
  bottom: "Convolution38"
  top: "Convolution38"
}
layer {
  name: "Convolution39"
  type: "Convolution"
  bottom: "Convolution38"
  top: "Convolution39"
  convolution_param {
    num_output: 768
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 768
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm39"
  type: "BatchNorm"
  bottom: "Convolution39"
  top: "Convolution39"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale27"
  type: "Scale"
  bottom: "Convolution39"
  top: "Convolution39"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv38"
  type: "ReLU"
  bottom: "Convolution39"
  top: "Convolution39"
}
layer {
  name: "Convolution40"
  type: "Convolution"
  bottom: "Convolution39"
  top: "Convolution40"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm40"
  type: "BatchNorm"
  bottom: "Convolution40"
  top: "Convolution40"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv39"
  type: "Scale"
  bottom: "Convolution40"
  top: "Convolution40"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt8"
  type: "Eltwise"
  bottom: "elt7"
  bottom: "Convolution40"
  top: "elt8"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution41"
  type: "Convolution"
  bottom: "elt8"
  top: "Convolution41"
  convolution_param {
    num_output: 768
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm41"
  type: "BatchNorm"
  bottom: "Convolution41"
  top: "Convolution41"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale28"
  type: "Scale"
  bottom: "Convolution41"
  top: "Convolution41"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv40"
  type: "ReLU"
  bottom: "Convolution41"
  top: "Convolution41"
}
layer {
  name: "Convolution42"
  type: "Convolution"
  bottom: "Convolution41"
  top: "Convolution42"
  convolution_param {
    num_output: 768
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 768
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm42"
  type: "BatchNorm"
  bottom: "Convolution42"
  top: "Convolution42"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale29"
  type: "Scale"
  bottom: "Convolution42"
  top: "Convolution42"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv41"
  type: "ReLU"
  bottom: "Convolution42"
  top: "Convolution42"
}
layer {
  name: "Convolution43"
  type: "Convolution"
  bottom: "Convolution42"
  top: "Convolution43"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm43"
  type: "BatchNorm"
  bottom: "Convolution43"
  top: "Convolution43"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv42"
  type: "Scale"
  bottom: "Convolution43"
  top: "Convolution43"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution44"
  type: "Convolution"
  bottom: "Convolution43"
  top: "Convolution44"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm44"
  type: "BatchNorm"
  bottom: "Convolution44"
  top: "Convolution44"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale30"
  type: "Scale"
  bottom: "Convolution44"
  top: "Convolution44"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv43"
  type: "ReLU"
  bottom: "Convolution44"
  top: "Convolution44"
}
layer {
  name: "Convolution45"
  type: "Convolution"
  bottom: "Convolution44"
  top: "Convolution45"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 960
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm45"
  type: "BatchNorm"
  bottom: "Convolution45"
  top: "Convolution45"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale31"
  type: "Scale"
  bottom: "Convolution45"
  top: "Convolution45"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv44"
  type: "ReLU"
  bottom: "Convolution45"
  top: "Convolution45"
}
layer {
  name: "Convolution46"
  type: "Convolution"
  bottom: "Convolution45"
  top: "Convolution46"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm46"
  type: "BatchNorm"
  bottom: "Convolution46"
  top: "Convolution46"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv45"
  type: "Scale"
  bottom: "Convolution46"
  top: "Convolution46"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt9"
  type: "Eltwise"
  bottom: "Convolution43"
  bottom: "Convolution46"
  top: "elt9"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution47"
  type: "Convolution"
  bottom: "elt9"
  top: "Convolution47"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm47"
  type: "BatchNorm"
  bottom: "Convolution47"
  top: "Convolution47"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale32"
  type: "Scale"
  bottom: "Convolution47"
  top: "Convolution47"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv46"
  type: "ReLU"
  bottom: "Convolution47"
  top: "Convolution47"
}
layer {
  name: "Convolution48"
  type: "Convolution"
  bottom: "Convolution47"
  top: "Convolution48"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 960
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm48"
  type: "BatchNorm"
  bottom: "Convolution48"
  top: "Convolution48"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale33"
  type: "Scale"
  bottom: "Convolution48"
  top: "Convolution48"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv47"
  type: "ReLU"
  bottom: "Convolution48"
  top: "Convolution48"
}
layer {
  name: "Convolution49"
  type: "Convolution"
  bottom: "Convolution48"
  top: "Convolution49"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm49"
  type: "BatchNorm"
  bottom: "Convolution49"
  top: "Convolution49"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv48"
  type: "Scale"
  bottom: "Convolution49"
  top: "Convolution49"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "elt10"
  type: "Eltwise"
  bottom: "elt9"
  bottom: "Convolution49"
  top: "elt10"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution50"
  type: "Convolution"
  bottom: "elt10"
  top: "Convolution50"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm50"
  type: "BatchNorm"
  bottom: "Convolution50"
  top: "Convolution50"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale34"
  type: "Scale"
  bottom: "Convolution50"
  top: "Convolution50"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv49"
  type: "ReLU"
  bottom: "Convolution50"
  top: "Convolution50"
}
layer {
  name: "Convolution51"
  type: "Convolution"
  bottom: "Convolution50"
  top: "Convolution51"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 960
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm51"
  type: "BatchNorm"
  bottom: "Convolution51"
  top: "Convolution51"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale35"
  type: "Scale"
  bottom: "Convolution51"
  top: "Convolution51"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv50"
  type: "ReLU"
  bottom: "Convolution51"
  top: "Convolution51"
}
layer {
  name: "Convolution52"
  type: "Convolution"
  bottom: "Convolution51"
  top: "Convolution52"
  convolution_param {
    num_output: 320
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm52"
  type: "BatchNorm"
  bottom: "Convolution52"
  top: "Convolution52"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv51"
  type: "Scale"
  bottom: "Convolution52"
  top: "Convolution52"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "Convolution53"
  type: "Convolution"
  bottom: "Convolution52"
  top: "Convolution53"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "Deconvolution1"
  type: "Deconvolution"
  bottom: "Convolution53"
  top: "Deconvolution1"
  param {
    lr_mult: 0.0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 2
  }
}

layer {
  name: "Convolution54"
  type: "Convolution"
  bottom: "Convolution53"
  top: "Convolution54"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "Convolution55"
  type: "Convolution"
  bottom: "elt8"
  top: "Convolution55"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "fpnelt"
  type: "Eltwise"
  bottom: "Deconvolution1"
  bottom: "Convolution55"
  top: "fpnelt"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Convolution56"
  type: "Convolution"
  bottom: "fpnelt"
  top: "Convolution56"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "Convolution57"
  type: "Convolution"
  bottom: "Convolution52"
  top: "Convolution57"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm53"
  type: "BatchNorm"
  bottom: "Convolution57"
  top: "Convolution57"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale36"
  type: "Scale"
  bottom: "Convolution57"
  top: "Convolution57"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv52"
  type: "ReLU"
  bottom: "Convolution57"
  top: "Convolution57"
}
layer {
  name: "Convolution58"
  type: "Convolution"
  bottom: "Convolution57"
  top: "Convolution58"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm54"
  type: "BatchNorm"
  bottom: "Convolution58"
  top: "Convolution58"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale37"
  type: "Scale"
  bottom: "Convolution58"
  top: "Convolution58"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex1"
  type: "ReLU"
  bottom: "Convolution58"
  top: "Convolution58"
}
layer {
  name: "Convolution59"
  type: "Convolution"
  bottom: "Convolution58"
  top: "Convolution59"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm55"
  type: "BatchNorm"
  bottom: "Convolution59"
  top: "Convolution59"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale38"
  type: "Scale"
  bottom: "Convolution59"
  top: "Convolution59"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex2"
  type: "ReLU"
  bottom: "Convolution59"
  top: "Convolution59"
}
layer {
  name: "Convolution60"
  type: "Convolution"
  bottom: "Convolution59"
  top: "Convolution60"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm56"
  type: "BatchNorm"
  bottom: "Convolution60"
  top: "Convolution60"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale39"
  type: "Scale"
  bottom: "Convolution60"
  top: "Convolution60"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex3"
  type: "ReLU"
  bottom: "Convolution60"
  top: "Convolution60"
}
layer {
  name: "Convolution61"
  type: "Convolution"
  bottom: "Convolution60"
  top: "Convolution61"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm57"
  type: "BatchNorm"
  bottom: "Convolution61"
  top: "Convolution61"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale40"
  type: "Scale"
  bottom: "Convolution61"
  top: "Convolution61"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex4"
  type: "ReLU"
  bottom: "Convolution61"
  top: "Convolution61"
}
layer {
  name: "Convolution62"
  type: "Convolution"
  bottom: "Convolution61"
  top: "Convolution62"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm58"
  type: "BatchNorm"
  bottom: "Convolution62"
  top: "Convolution62"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale41"
  type: "Scale"
  bottom: "Convolution62"
  top: "Convolution62"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex5"
  type: "ReLU"
  bottom: "Convolution62"
  top: "Convolution62"
}
layer {
  name: "Convolution63"
  type: "Convolution"
  bottom: "Convolution62"
  top: "Convolution63"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm59"
  type: "BatchNorm"
  bottom: "Convolution63"
  top: "Convolution63"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale42"
  type: "Scale"
  bottom: "Convolution63"
  top: "Convolution63"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex6"
  type: "ReLU"
  bottom: "Convolution63"
  top: "Convolution63"
}
layer {
  name: "Convolution64"
  type: "Convolution"
  bottom: "Convolution63"
  top: "Convolution64"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm60"
  type: "BatchNorm"
  bottom: "Convolution64"
  top: "Convolution64"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale43"
  type: "Scale"
  bottom: "Convolution64"
  top: "Convolution64"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex7"
  type: "ReLU"
  bottom: "Convolution64"
  top: "Convolution64"
}
layer {
  name: "Convolution65"
  type: "Convolution"
  bottom: "Convolution64"
  top: "Convolution65"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "BatchNorm61"
  type: "BatchNorm"
  bottom: "Convolution65"
  top: "Convolution65"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "Scale44"
  type: "Scale"
  bottom: "Convolution65"
  top: "Convolution65"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv_ex8"
  type: "ReLU"
  bottom: "Convolution65"
  top: "Convolution65"
}

## 以上出来的结果一致

layer {
  name: "loc1"
  type: "Convolution"
  bottom: "Convolution56"
  top: "loc1"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv11_mbox_loc_perm"
  type: "Permute"
  bottom: "loc1"
  top: "conv11_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv11_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv11_mbox_loc_perm"
  top: "conv11_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "conf1"
  type: "Convolution"
  bottom: "Convolution56"
  top: "conf1"
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv11_mbox_conf_perm"
  type: "Permute"
  bottom: "conf1"
  top: "conv11_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv11_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv11_mbox_conf_perm"
  top: "conv11_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "loc2"
  type: "Convolution"
  bottom: "Convolution54"
  top: "loc2"
  convolution_param {
    num_output: 24
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv13_mbox_loc_perm"
  type: "Permute"
  bottom: "loc2"
  top: "conv13_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv13_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv13_mbox_loc_perm"
  top: "conv13_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "conf2"
  type: "Convolution"
  bottom: "Convolution54"
  top: "conf2"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv13_mbox_conf_perm"
  type: "Permute"
  bottom: "conf2"
  top: "conv13_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv13_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv13_mbox_conf_perm"
  top: "conv13_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "loc3"
  type: "Convolution"
  bottom: "Convolution59"
  top: "loc3"
  convolution_param {
    num_output: 24
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv14_2_mbox_loc_perm"
  type: "Permute"
  bottom: "loc3"
  top: "conv14_2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv14_2_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv14_2_mbox_loc_perm"
  top: "conv14_2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "conf3"
  type: "Convolution"
  bottom: "Convolution59"
  top: "conf3"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv14_2_mbox_conf_perm"
  type: "Permute"
  bottom: "conf3"
  top: "conv14_2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv14_2_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv14_2_mbox_conf_perm"
  top: "conv14_2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "loc4"
  type: "Convolution"
  bottom: "Convolution61"
  top: "loc4"
  convolution_param {
    num_output: 24
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv15_2_mbox_loc_perm"
  type: "Permute"
  bottom: "loc4"
  top: "conv15_2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv15_2_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv15_2_mbox_loc_perm"
  top: "conv15_2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "conf4"
  type: "Convolution"
  bottom: "Convolution61"
  top: "conf4"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv15_2_mbox_conf_perm"
  type: "Permute"
  bottom: "conf4"
  top: "conv15_2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv15_2_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv15_2_mbox_conf_perm"
  top: "conv15_2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "loc5"
  type: "Convolution"
  bottom: "Convolution63"
  top: "loc5"
  convolution_param {
    num_output: 24
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv16_2_mbox_loc_perm"
  type: "Permute"
  bottom: "loc5"
  top: "conv16_2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv16_2_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv16_2_mbox_loc_perm"
  top: "conv16_2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "conf5"
  type: "Convolution"
  bottom: "Convolution63"
  top: "conf5"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv16_2_mbox_conf_perm"
  type: "Permute"
  bottom: "conf5"
  top: "conv16_2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv16_2_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv16_2_mbox_conf_perm"
  top: "conv16_2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "loc6"
  type: "Convolution"
  bottom: "Convolution65"
  top: "loc6"
  convolution_param {
    num_output: 24
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "conv17_2_mbox_loc_perm"
  type: "Permute"
  bottom: "loc6"
  top: "conv17_2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv17_2_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv17_2_mbox_loc_perm"
  top: "conv17_2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "conf6"
  type: "Convolution"
  bottom: "Convolution65"
  top: "conf6"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
  }
}

## 结果保持一致

layer {
  name: "conv17_2_mbox_conf_perm"
  type: "Permute"
  bottom: "conf6"
  top: "conv17_2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv17_2_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv17_2_mbox_conf_perm"
  top: "conv17_2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "mbox_loc"
  type: "Concat"
  bottom: "conv11_mbox_loc_flat"
  bottom: "conv13_mbox_loc_flat"
  bottom: "conv14_2_mbox_loc_flat"
  bottom: "conv15_2_mbox_loc_flat"
  bottom: "conv16_2_mbox_loc_flat"
  bottom: "conv17_2_mbox_loc_flat"
  top: "mbox_loc"
  concat_param {
    axis: 1
  }
}

layer {
  name: "mbox_conf"
  type: "Concat"
  bottom: "conv11_mbox_conf_flat"
  bottom: "conv13_mbox_conf_flat"
  bottom: "conv14_2_mbox_conf_flat"
  bottom: "conv15_2_mbox_conf_flat"
  bottom: "conv16_2_mbox_conf_flat"
  bottom: "conv17_2_mbox_conf_flat"
  top: "mbox_conf"
  concat_param {
    axis: 1
  }
}


layer {
  name: "mbox_conf_reshape"
  type: "Reshape"
  bottom: "mbox_conf"
  top: "mbox_conf_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: -1
      dim: 2
    }
  }
}
layer {
  name: "mbox_conf_softmax"
  type: "Softmax"
  bottom: "mbox_conf_reshape"
  top: "mbox_conf_softmax"
  softmax_param {
    axis: 2
  }
}
layer {
  name: "mbox_conf_flatten"
  type: "Flatten"
  bottom: "mbox_conf_softmax"
  top: "mbox_conf_flatten"
  flatten_param {
    axis: 1
  }
}

layer {
  name: "mbox_loc_reshape"
  type: "Reshape"
  bottom: "mbox_loc"
  top: "mbox_loc_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: -1
      dim: 4
    }
  }
}