squeezenet_ssd_voc_train.prototxt

name: "squeezenet-ssd"
layer {
  name: "data"
  type: "AnnotatedData"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    mirror: true
    mean_value: 104
    mean_value: 117
    mean_value: 123
    resize_param {
      prob: 1.0
      resize_mode: WARP
      height: 300
      width: 300
      interp_mode: LINEAR
      interp_mode: AREA
      interp_mode: NEAREST
      interp_mode: CUBIC
      interp_mode: LANCZOS4
    }
    emit_constraint {
      emit_type: CENTER
    }
    distort_param {
      brightness_prob: 0.5
      brightness_delta: 32.0
      contrast_prob: 0.5
      contrast_lower: 0.5
      contrast_upper: 1.5
      hue_prob: 0.5
      hue_delta: 18.0
      saturation_prob: 0.5
      saturation_lower: 0.5
      saturation_upper: 1.5
      random_order_prob: 0.0
    }
    expand_param {
      prob: 0.5
      max_expand_ratio: 4.0
    }
  }
  data_param {
    source: "trainval_lmdb"
    batch_size: 32
    backend: LMDB
  }
  annotated_data_param {
    batch_sampler {
      max_sample: 1
      max_trials: 1
    }
    batch_sampler {
      sampler {
        min_scale: 0.3
        max_scale: 1.0
        min_aspect_ratio: 0.5
        max_aspect_ratio: 2.0
      }
      sample_constraint {
        min_jaccard_overlap: 0.1
      }
      max_sample: 1
      max_trials: 50
    }
    batch_sampler {
      sampler {
        min_scale: 0.3
        max_scale: 1.0
        min_aspect_ratio: 0.5
        max_aspect_ratio: 2.0
      }
      sample_constraint {
        min_jaccard_overlap: 0.3
      }
      max_sample: 1
      max_trials: 50
    }
    batch_sampler {
      sampler {
        min_scale: 0.3
        max_scale: 1.0
        min_aspect_ratio: 0.5
        max_aspect_ratio: 2.0
      }
      sample_constraint {
        min_jaccard_overlap: 0.5
      }
      max_sample: 1
      max_trials: 50
    }
    batch_sampler {
      sampler {
        min_scale: 0.3
        max_scale: 1.0
        min_aspect_ratio: 0.5
        max_aspect_ratio: 2.0
      }
      sample_constraint {
        min_jaccard_overlap: 0.7
      }
      max_sample: 1
      max_trials: 50
    }
    batch_sampler {
      sampler {
        min_scale: 0.3
        max_scale: 1.0
        min_aspect_ratio: 0.5
        max_aspect_ratio: 2.0
      }
      sample_constraint {
        min_jaccard_overlap: 0.9
      }
      max_sample: 1
      max_trials: 50
    }
    batch_sampler {
      sampler {
        min_scale: 0.3
        max_scale: 1.0
        min_aspect_ratio: 0.5
        max_aspect_ratio: 2.0
      }
      sample_constraint {
        max_jaccard_overlap: 1.0
      }
      max_sample: 1
      max_trials: 50
    }
    label_map_file: "labelmap.prototxt"
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "relu_conv1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire2/squeeze1x1"
  type: "Convolution"
  bottom: "pool1"
  top: "fire2/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire2/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire2/squeeze1x1"
  top: "fire2/squeeze1x1"
}
layer {
  name: "fire2/expand1x1"
  type: "Convolution"
  bottom: "fire2/squeeze1x1"
  top: "fire2/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire2/relu_expand1x1"
  type: "ReLU"
  bottom: "fire2/expand1x1"
  top: "fire2/expand1x1"
}
layer {
  name: "fire2/expand3x3"
  type: "Convolution"
  bottom: "fire2/squeeze1x1"
  top: "fire2/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire2/relu_expand3x3"
  type: "ReLU"
  bottom: "fire2/expand3x3"
  top: "fire2/expand3x3"
}
layer {
  name: "fire2/concat"
  type: "Concat"
  bottom: "fire2/expand1x1"
  bottom: "fire2/expand3x3"
  top: "fire2/concat"
}
layer {
  name: "fire3/squeeze1x1"
  type: "Convolution"
  bottom: "fire2/concat"
  top: "fire3/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire3/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire3/squeeze1x1"
  top: "fire3/squeeze1x1"
}
layer {
  name: "fire3/expand1x1"
  type: "Convolution"
  bottom: "fire3/squeeze1x1"
  top: "fire3/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire3/relu_expand1x1"
  type: "ReLU"
  bottom: "fire3/expand1x1"
  top: "fire3/expand1x1"
}
layer {
  name: "fire3/expand3x3"
  type: "Convolution"
  bottom: "fire3/squeeze1x1"
  top: "fire3/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire3/relu_expand3x3"
  type: "ReLU"
  bottom: "fire3/expand3x3"
  top: "fire3/expand3x3"
}
layer {
  name: "fire3/concat"
  type: "Concat"
  bottom: "fire3/expand1x1"
  bottom: "fire3/expand3x3"
  top: "fire3/concat"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "fire3/concat"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire4/squeeze1x1"
  type: "Convolution"
  bottom: "pool3"
  top: "fire4/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire4/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire4/squeeze1x1"
  top: "fire4/squeeze1x1"
}
layer {
  name: "fire4/expand1x1"
  type: "Convolution"
  bottom: "fire4/squeeze1x1"
  top: "fire4/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire4/relu_expand1x1"
  type: "ReLU"
  bottom: "fire4/expand1x1"
  top: "fire4/expand1x1"
}
layer {
  name: "fire4/expand3x3"
  type: "Convolution"
  bottom: "fire4/squeeze1x1"
  top: "fire4/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire4/relu_expand3x3"
  type: "ReLU"
  bottom: "fire4/expand3x3"
  top: "fire4/expand3x3"
}
layer {
  name: "fire4/concat"
  type: "Concat"
  bottom: "fire4/expand1x1"
  bottom: "fire4/expand3x3"
  top: "fire4/concat"
}
layer {
  name: "fire5/squeeze1x1"
  type: "Convolution"
  bottom: "fire4/concat"
  top: "fire5/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire5/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire5/squeeze1x1"
  top: "fire5/squeeze1x1"
}
layer {
  name: "fire5/expand1x1"
  type: "Convolution"
  bottom: "fire5/squeeze1x1"
  top: "fire5/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire5/relu_expand1x1"
  type: "ReLU"
  bottom: "fire5/expand1x1"
  top: "fire5/expand1x1"
}
layer {
  name: "fire5/expand3x3"
  type: "Convolution"
  bottom: "fire5/squeeze1x1"
  top: "fire5/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire5/relu_expand3x3"
  type: "ReLU"
  bottom: "fire5/expand3x3"
  top: "fire5/expand3x3"
}
layer {
  name: "fire5/concat"
  type: "Concat"
  bottom: "fire5/expand1x1"
  bottom: "fire5/expand3x3"
  top: "fire5/concat"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "fire5/concat"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire6/squeeze1x1"
  type: "Convolution"
  bottom: "pool5"
  top: "fire6/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 48
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire6/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire6/squeeze1x1"
  top: "fire6/squeeze1x1"
}
layer {
  name: "fire6/expand1x1"
  type: "Convolution"
  bottom: "fire6/squeeze1x1"
  top: "fire6/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 192
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire6/relu_expand1x1"
  type: "ReLU"
  bottom: "fire6/expand1x1"
  top: "fire6/expand1x1"
}
layer {
  name: "fire6/expand3x3"
  type: "Convolution"
  bottom: "fire6/squeeze1x1"
  top: "fire6/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire6/relu_expand3x3"
  type: "ReLU"
  bottom: "fire6/expand3x3"
  top: "fire6/expand3x3"
}
layer {
  name: "fire6/concat"
  type: "Concat"
  bottom: "fire6/expand1x1"
  bottom: "fire6/expand3x3"
  top: "fire6/concat"
}
layer {
  name: "fire7/squeeze1x1"
  type: "Convolution"
  bottom: "fire6/concat"
  top: "fire7/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 48
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire7/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire7/squeeze1x1"
  top: "fire7/squeeze1x1"
}
layer {
  name: "fire7/expand1x1"
  type: "Convolution"
  bottom: "fire7/squeeze1x1"
  top: "fire7/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 192
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire7/relu_expand1x1"
  type: "ReLU"
  bottom: "fire7/expand1x1"
  top: "fire7/expand1x1"
}
layer {
  name: "fire7/expand3x3"
  type: "Convolution"
  bottom: "fire7/squeeze1x1"
  top: "fire7/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire7/relu_expand3x3"
  type: "ReLU"
  bottom: "fire7/expand3x3"
  top: "fire7/expand3x3"
}
layer {
  name: "fire7/concat"
  type: "Concat"
  bottom: "fire7/expand1x1"
  bottom: "fire7/expand3x3"
  top: "fire7/concat"
}
layer {
  name: "fire8/squeeze1x1"
  type: "Convolution"
  bottom: "fire7/concat"
  top: "fire8/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire8/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire8/squeeze1x1"
  top: "fire8/squeeze1x1"
}
layer {
  name: "fire8/expand1x1"
  type: "Convolution"
  bottom: "fire8/squeeze1x1"
  top: "fire8/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire8/relu_expand1x1"
  type: "ReLU"
  bottom: "fire8/expand1x1"
  top: "fire8/expand1x1"
}
layer {
  name: "fire8/expand3x3"
  type: "Convolution"
  bottom: "fire8/squeeze1x1"
  top: "fire8/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire8/relu_expand3x3"
  type: "ReLU"
  bottom: "fire8/expand3x3"
  top: "fire8/expand3x3"
}
layer {
  name: "fire8/concat"
  type: "Concat"
  bottom: "fire8/expand1x1"
  bottom: "fire8/expand3x3"
  top: "fire8/concat"
}
layer {
  name: "fire9/squeeze1x1"
  type: "Convolution"
  bottom: "fire8/concat"
  top: "fire9/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire9/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire9/squeeze1x1"
  top: "fire9/squeeze1x1"
}
layer {
  name: "fire9/expand1x1"
  type: "Convolution"
  bottom: "fire9/squeeze1x1"
  top: "fire9/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire9/expand1x1/bn"
  type: "BatchNorm"
  bottom: "fire9/expand1x1"
  top: "fire9/expand1x1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire9/expand1x1/scale"
  type: "Scale"
  bottom: "fire9/expand1x1"
  top: "fire9/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire9/relu_expand1x1"
  type: "ReLU"
  bottom: "fire9/expand1x1"
  top: "fire9/expand1x1"
}
layer {
  name: "fire9/expand3x3"
  type: "Convolution"
  bottom: "fire9/squeeze1x1"
  top: "fire9/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire9/expand3x3/bn"
  type: "BatchNorm"
  bottom: "fire9/expand3x3"
  top: "fire9/expand3x3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire9/expand3x3/scale"
  type: "Scale"
  bottom: "fire9/expand3x3"
  top: "fire9/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire9/relu_expand3x3"
  type: "ReLU"
  bottom: "fire9/expand3x3"
  top: "fire9/expand3x3"
}
layer {
  name: "fire9/concat"
  type: "Concat"
  bottom: "fire9/expand1x1"
  bottom: "fire9/expand3x3"
  top: "fire9/concat"
}
layer {
  name: "pool9"
  type: "Pooling"
  bottom: "fire9/concat"
  top: "pool9"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
#================ssd append layer fire10, out 9 * 9
layer {
  name: "fire10/squeeze1x1"
  type: "Convolution"
  bottom: "pool9"
  top: "fire10/squeeze1x1"
  convolution_param {
    num_output: 96
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire10/squeeze1x1/bn"
  type: "BatchNorm"
  top: "fire10/squeeze1x1"
  bottom: "fire10/squeeze1x1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire10/squeeze1x1/scale"
  type: "Scale"
  top: "fire10/squeeze1x1"
  bottom: "fire10/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire10/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire10/squeeze1x1"
  top: "fire10/squeeze1x1"
}
layer {
  name: "fire10/expand1x1"
  type: "Convolution"
  bottom: "fire10/squeeze1x1"
  top: "fire10/expand1x1"
  convolution_param {
    num_output: 384
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire10/expand1x1/bn"
  type: "BatchNorm"
  bottom: "fire10/expand1x1"
  top: "fire10/expand1x1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire10/expand1x1/scale"
  type: "Scale"
  bottom: "fire10/expand1x1"
  top: "fire10/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire10/relu_expand1x1"
  type: "ReLU"
  bottom: "fire10/expand1x1"
  top: "fire10/expand1x1"
}
layer {
  name: "fire10/expand3x3"
  type: "Convolution"
  bottom: "fire10/squeeze1x1"
  top: "fire10/expand3x3"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire10/expand3x3/bn"
  type: "BatchNorm"
  bottom: "fire10/expand3x3"
  top: "fire10/expand3x3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire10/expand3x3/scale"
  type: "Scale"
  bottom: "fire10/expand3x3"
  top: "fire10/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire10/relu_expand3x3"
  type: "ReLU"
  bottom: "fire10/expand3x3"
  top: "fire10/expand3x3"
}
layer {
  name: "fire10/concat"
  type: "Concat"
  bottom: "fire10/expand1x1"
  bottom: "fire10/expand3x3"
  top: "fire10/concat"
}
#================ssd append layer fire11, out 4 * 4
layer {
  name: "pool10"
  type: "Pooling"
  bottom: "fire10/concat"
  top: "pool10"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire11/squeeze1x1"
  type: "Convolution"
  bottom: "pool10"
  top: "fire11/squeeze1x1"
  convolution_param {
    num_output: 96
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire11/squeeze1x1/bn"
  type: "BatchNorm"
  top: "fire11/squeeze1x1"
  bottom: "fire11/squeeze1x1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire11/squeeze1x1/scale"
  type: "Scale"
  top: "fire11/squeeze1x1"
  bottom: "fire11/squeeze1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire11/relu_squeeze1x1"
  type: "ReLU"
  bottom: "fire11/squeeze1x1"
  top: "fire11/squeeze1x1"
}
layer {
  name: "fire11/expand1x1"
  type: "Convolution"
  bottom: "fire11/squeeze1x1"
  top: "fire11/expand1x1"
  convolution_param {
    num_output: 384
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire11/expand1x1/bn"
  type: "BatchNorm"
  bottom: "fire11/expand1x1"
  top: "fire11/expand1x1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire11/expand1x1/scale"
  type: "Scale"
  bottom: "fire11/expand1x1"
  top: "fire11/expand1x1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire11/relu_expand1x1"
  type: "ReLU"
  bottom: "fire11/expand1x1"
  top: "fire11/expand1x1"
}
layer {
  name: "fire11/expand3x3"
  type: "Convolution"
  bottom: "fire11/squeeze1x1"
  top: "fire11/expand3x3"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire11/expand3x3/bn"
  type: "BatchNorm"
  bottom: "fire11/expand3x3"
  top: "fire11/expand3x3"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire11/expand3x3/scale"
  type: "Scale"
  bottom: "fire11/expand3x3"
  top: "fire11/expand3x3"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire11/relu_expand3x3"
  type: "ReLU"
  bottom: "fire11/expand3x3"
  top: "fire11/expand3x3"
}
layer {
  name: "fire11/concat"
  type: "Concat"
  bottom: "fire11/expand1x1"
  bottom: "fire11/expand3x3"
  top: "fire11/concat"
}
#================ssd append layer conv12, out 2 * 2
layer {
  name: "conv12_1"
  type: "Convolution"
  bottom: "fire11/concat"
  top: "conv12_1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv12_1/bn"
  type: "BatchNorm"
  bottom: "conv12_1"
  top: "conv12_1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "conv12_1/scale"
  type: "Scale"
  bottom: "conv12_1"
  top: "conv12_1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv12_1/relu"
  type: "ReLU"
  bottom: "conv12_1"
  top: "conv12_1"
}
layer {
  name: "conv12_2"
  type: "Convolution"
  bottom: "conv12_1"
  top: "conv12_2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv12_2/bn"
  type: "BatchNorm"
  bottom: "conv12_2"
  top: "conv12_2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "conv12_2/scale"
  type: "Scale"
  bottom: "conv12_2"
  top: "conv12_2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv12_2/relu"
  type: "ReLU"
  bottom: "conv12_2"
  top: "conv12_2"
}
#================ssd append layer conv13, out 1 * 1
layer {
  name: "conv13_1"
  type: "Convolution"
  bottom: "conv12_2"
  top: "conv13_1"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv13_1/bn"
  type: "BatchNorm"
  bottom: "conv13_1"
  top: "conv13_1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "conv13_1/scale"
  type: "Scale"
  bottom: "conv13_1"
  top: "conv13_1"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv13_1/relu"
  type: "ReLU"
  bottom: "conv13_1"
  top: "conv13_1"
}
layer {
  name: "conv13_2"
  type: "Convolution"
  bottom: "conv13_1"
  top: "conv13_2"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv13_2/bn"
  type: "BatchNorm"
  bottom: "conv13_2"
  top: "conv13_2"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "conv13_2/scale"
  type: "Scale"
  bottom: "conv13_2"
  top: "conv13_2"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv13_2/relu"
  type: "ReLU"
  bottom: "conv13_2"
  top: "conv13_2"
}
#================ssd mbox layer
layer {
  name: "fire5/bn"
  type: "BatchNorm"
  bottom: "fire5/concat"
  top: "fire5/normal"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "fire5/scale"
  type: "Scale"
  bottom: "fire5/normal"
  top: "fire5/normal"
  param {
    lr_mult: 1.0
    decay_mult: 0.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "fire5_mbox_loc"
  type: "Convolution"
  bottom: "fire5/normal"
  top: "fire5_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire5_mbox_loc_perm"
  type: "Permute"
  bottom: "fire5_mbox_loc"
  top: "fire5_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire5_mbox_loc_flat"
  type: "Flatten"
  bottom: "fire5_mbox_loc_perm"
  top: "fire5_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire5_mbox_conf"
  type: "Convolution"
  bottom: "fire5/normal"
  top: "fire5_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 84
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire5_mbox_conf_perm"
  type: "Permute"
  bottom: "fire5_mbox_conf"
  top: "fire5_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire5_mbox_conf_flat"
  type: "Flatten"
  bottom: "fire5_mbox_conf_perm"
  top: "fire5_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire5_mbox_priorbox"
  type: "PriorBox"
  bottom: "fire5/normal"
  bottom: "data"
  top: "fire5_mbox_priorbox"
  prior_box_param {
    min_size: 21.0
    max_size: 45.0
    aspect_ratio: 2.0
    flip: true
    clip: false
    variance: 0.1
    variance: 0.1
    variance: 0.2
    variance: 0.2
    step: 8
  }
}
#================mbox fire9
layer {
  name: "fire9_mbox_loc"
  type: "Convolution"
  bottom: "fire9/concat"
  top: "fire9_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire9_mbox_loc_perm"
  type: "Permute"
  bottom: "fire9_mbox_loc"
  top: "fire9_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire9_mbox_loc_flat"
  type: "Flatten"
  bottom: "fire9_mbox_loc_perm"
  top: "fire9_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire9_mbox_conf"
  type: "Convolution"
  bottom: "fire9/concat"
  top: "fire9_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 126
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire9_mbox_conf_perm"
  type: "Permute"
  bottom: "fire9_mbox_conf"
  top: "fire9_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire9_mbox_conf_flat"
  type: "Flatten"
  bottom: "fire9_mbox_conf_perm"
  top: "fire9_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire9_mbox_priorbox"
  type: "PriorBox"
  bottom: "fire9/concat"
  bottom: "data"
  top: "fire9_mbox_priorbox"
  prior_box_param {
    min_size: 45.0
    max_size: 99.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.1
    variance: 0.1
    variance: 0.2
    variance: 0.2
    step: 16
  }
}
#=====fire10 mbox
layer {
  name: "fire10_mbox_loc"
  type: "Convolution"
  bottom: "fire10/concat"
  top: "fire10_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire10_mbox_loc_perm"
  type: "Permute"
  bottom: "fire10_mbox_loc"
  top: "fire10_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire10_mbox_loc_flat"
  type: "Flatten"
  bottom: "fire10_mbox_loc_perm"
  top: "fire10_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire10_mbox_conf"
  type: "Convolution"
  bottom: "fire10/concat"
  top: "fire10_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 126
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire10_mbox_conf_perm"
  type: "Permute"
  bottom: "fire10_mbox_conf"
  top: "fire10_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire10_mbox_conf_flat"
  type: "Flatten"
  bottom: "fire10_mbox_conf_perm"
  top: "fire10_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire10_mbox_priorbox"
  type: "PriorBox"
  bottom: "fire10/concat"
  bottom: "data"
  top: "fire10_mbox_priorbox"
  prior_box_param {
    min_size: 99.0
    max_size: 153.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.1
    variance: 0.1
    variance: 0.2
    variance: 0.2
    step: 32
  }
}

#=====conv11 mbox
layer {
  name: "fire11_mbox_loc"
  type: "Convolution"
  bottom: "fire11/concat"
  top: "fire11_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire11_mbox_loc_perm"
  type: "Permute"
  bottom: "fire11_mbox_loc"
  top: "fire11_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire11_mbox_loc_flat"
  type: "Flatten"
  bottom: "fire11_mbox_loc_perm"
  top: "fire11_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire11_mbox_conf"
  type: "Convolution"
  bottom: "fire11/concat"
  top: "fire11_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 126
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "fire11_mbox_conf_perm"
  type: "Permute"
  bottom: "fire11_mbox_conf"
  top: "fire11_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "fire11_mbox_conf_flat"
  type: "Flatten"
  bottom: "fire11_mbox_conf_perm"
  top: "fire11_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "fire11_mbox_priorbox"
  type: "PriorBox"
  bottom: "fire11/concat"
  bottom: "data"
  top: "fire11_mbox_priorbox"
  prior_box_param {
    min_size: 153.0
    max_size: 207.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.1
    variance: 0.1
    variance: 0.2
    variance: 0.2
    step: 64
  }
}
#=====conv12 mbox
layer {
  name: "conv12_2_mbox_loc"
  type: "Convolution"
  bottom: "conv12_2"
  top: "conv12_2_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 24
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "conv12_2_mbox_loc_perm"
  type: "Permute"
  bottom: "conv12_2_mbox_loc"
  top: "conv12_2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv12_2_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv12_2_mbox_loc_perm"
  top: "conv12_2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "conv12_2_mbox_conf"
  type: "Convolution"
  bottom: "conv12_2"
  top: "conv12_2_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 126
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "conv12_2_mbox_conf_perm"
  type: "Permute"
  bottom: "conv12_2_mbox_conf"
  top: "conv12_2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv12_2_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv12_2_mbox_conf_perm"
  top: "conv12_2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "conv12_2_mbox_priorbox"
  type: "PriorBox"
  bottom: "conv12_2"
  bottom: "data"
  top: "conv12_2_mbox_priorbox"
  prior_box_param {
    min_size: 207.0
    max_size: 261.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: true
    clip: false
    variance: 0.1
    variance: 0.1
    variance: 0.2
    variance: 0.2
    step: 100
  }
}
#=====conv13 mbox
layer {
  name: "conv13_2_mbox_loc"
  type: "Convolution"
  bottom: "conv13_2"
  top: "conv13_2_mbox_loc"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 16
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "conv13_2_mbox_loc_perm"
  type: "Permute"
  bottom: "conv13_2_mbox_loc"
  top: "conv13_2_mbox_loc_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv13_2_mbox_loc_flat"
  type: "Flatten"
  bottom: "conv13_2_mbox_loc_perm"
  top: "conv13_2_mbox_loc_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "conv13_2_mbox_conf"
  type: "Convolution"
  bottom: "conv13_2"
  top: "conv13_2_mbox_conf"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  convolution_param {
    num_output: 84
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "conv13_2_mbox_conf_perm"
  type: "Permute"
  bottom: "conv13_2_mbox_conf"
  top: "conv13_2_mbox_conf_perm"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "conv13_2_mbox_conf_flat"
  type: "Flatten"
  bottom: "conv13_2_mbox_conf_perm"
  top: "conv13_2_mbox_conf_flat"
  flatten_param {
    axis: 1
  }
}
layer {
  name: "conv13_2_mbox_priorbox"
  type: "PriorBox"
  bottom: "conv13_2"
  bottom: "data"
  top: "conv13_2_mbox_priorbox"
  prior_box_param {
    min_size: 261.0
    max_size: 315.0
    aspect_ratio: 2.0
    flip: true
    clip: false
    variance: 0.1
    variance: 0.1
    variance: 0.2
    variance: 0.2
    step: 300
  }
}
layer {
  name: "mbox_loc"
  type: "Concat"
  bottom: "fire5_mbox_loc_flat"
  bottom: "fire9_mbox_loc_flat"
  bottom: "fire10_mbox_loc_flat"
  bottom: "fire11_mbox_loc_flat"
  bottom: "conv12_2_mbox_loc_flat"
  bottom: "conv13_2_mbox_loc_flat"
  top: "mbox_loc"
  concat_param {
    axis: 1
  }
}
layer {
  name: "mbox_conf"
  type: "Concat"
  bottom: "fire5_mbox_conf_flat"
  bottom: "fire9_mbox_conf_flat"
  bottom: "fire10_mbox_conf_flat"
  bottom: "fire11_mbox_conf_flat"
  bottom: "conv12_2_mbox_conf_flat"
  bottom: "conv13_2_mbox_conf_flat"
  top: "mbox_conf"
  concat_param {
    axis: 1
  }
}
layer {
  name: "mbox_priorbox"
  type: "Concat"
  bottom: "fire5_mbox_priorbox"
  bottom: "fire9_mbox_priorbox"
  bottom: "fire10_mbox_priorbox"
  bottom: "fire11_mbox_priorbox"
  bottom: "conv12_2_mbox_priorbox"
  bottom: "conv13_2_mbox_priorbox"
  top: "mbox_priorbox"
  concat_param {
    axis: 2
  }
}
layer {
  name: "mbox_loss"
  type: "MultiBoxLoss"
  bottom: "mbox_loc"
  bottom: "mbox_conf"
  bottom: "mbox_priorbox"
  bottom: "label"
  top: "mbox_loss"
  include {
    phase: TRAIN
  }
  propagate_down: true
  propagate_down: true
  propagate_down: false
  propagate_down: false
  loss_param {
    normalization: VALID
  }
  multibox_loss_param {
    loc_loss_type: SMOOTH_L1
    conf_loss_type: SOFTMAX
    loc_weight: 1.0
    num_classes: 21
    share_location: true
    match_type: PER_PREDICTION
    overlap_threshold: 0.5
    use_prior_for_matching: true
    background_label_id: 0
    use_difficult_gt: true
    neg_pos_ratio: 3.0
    neg_overlap: 0.5
    code_type: CENTER_SIZE
    ignore_cross_boundary_bbox: false
    mining_type: MAX_NEGATIVE
  }
}