train.prototxt

mem_param {
  optimize_train: true
  optimize_test: true
}
name: "ResNet50"
layer {
  name: "input-data"
  type: "Python"
  top: "data"
  top: "im_info"
  top: "gt_boxes"
  python_param {
    module: "roi_data_layer.layer"
    layer: "RoIDataLayer"
    param_str: "'num_classes': 2"
  }
}
layer {
  name: "caffe.SpatialConvolution_0"
  type: "Convolution"
  bottom: "data"
  top: "caffe.SpatialConvolution_0"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 3
    pad_w: 3
    kernel_h: 7
    kernel_w: 7
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_1"
  type: "BN"
  bottom: "caffe.SpatialConvolution_0"
  top: "caffe.BN_1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_2"
  type: "ReLU"
  bottom: "caffe.BN_1"
  top: "caffe.BN_1"
}
layer {
  name: "caffe.Pooling_3"
  type: "Pooling"
  bottom: "caffe.BN_1"
  top: "caffe.Pooling_3"
  pooling_param {
    pool: MAX
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
  propagate_down: false
}
layer {
  name: "caffe.SpatialConvolution_4"
  type: "Convolution"
  bottom: "caffe.Pooling_3"
  top: "caffe.SpatialConvolution_4"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_5"
  type: "BN"
  bottom: "caffe.SpatialConvolution_4"
  top: "caffe.BN_5"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_6"
  type: "ReLU"
  bottom: "caffe.BN_5"
  top: "caffe.BN_5"
}
layer {
  name: "caffe.SpatialConvolution_7"
  type: "Convolution"
  bottom: "caffe.BN_5"
  top: "caffe.SpatialConvolution_7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_8"
  type: "BN"
  bottom: "caffe.SpatialConvolution_7"
  top: "caffe.BN_8"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_9"
  type: "ReLU"
  bottom: "caffe.BN_8"
  top: "caffe.BN_8"
}
layer {
  name: "caffe.SpatialConvolution_10"
  type: "Convolution"
  bottom: "caffe.BN_8"
  top: "caffe.SpatialConvolution_10"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.SpatialConvolution_11"
  type: "Convolution"
  bottom: "caffe.Pooling_3"
  top: "caffe.SpatialConvolution_11"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_12"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_10"
  bottom: "caffe.SpatialConvolution_11"
  top: "caffe.Eltwise_12"
}
layer {
  name: "caffe.BN_13"
  type: "BN"
  bottom: "caffe.Eltwise_12"
  top: "caffe.BN_13"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_14"
  type: "ReLU"
  bottom: "caffe.BN_13"
  top: "caffe.BN_13"
}
layer {
  name: "caffe.SpatialConvolution_15"
  type: "Convolution"
  bottom: "caffe.BN_13"
  top: "caffe.SpatialConvolution_15"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_16"
  type: "BN"
  bottom: "caffe.SpatialConvolution_15"
  top: "caffe.BN_16"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_17"
  type: "ReLU"
  bottom: "caffe.BN_16"
  top: "caffe.BN_16"
}
layer {
  name: "caffe.SpatialConvolution_18"
  type: "Convolution"
  bottom: "caffe.BN_16"
  top: "caffe.SpatialConvolution_18"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_19"
  type: "BN"
  bottom: "caffe.SpatialConvolution_18"
  top: "caffe.BN_19"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_20"
  type: "ReLU"
  bottom: "caffe.BN_19"
  top: "caffe.BN_19"
}
layer {
  name: "caffe.SpatialConvolution_21"
  type: "Convolution"
  bottom: "caffe.BN_19"
  top: "caffe.SpatialConvolution_21"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_22"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_21"
  bottom: "caffe.BN_13"
  top: "caffe.Eltwise_22"
}
layer {
  name: "caffe.BN_23"
  type: "BN"
  bottom: "caffe.Eltwise_22"
  top: "caffe.BN_23"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_24"
  type: "ReLU"
  bottom: "caffe.BN_23"
  top: "caffe.BN_23"
}
layer {
  name: "caffe.SpatialConvolution_25"
  type: "Convolution"
  bottom: "caffe.BN_23"
  top: "caffe.SpatialConvolution_25"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_26"
  type: "BN"
  bottom: "caffe.SpatialConvolution_25"
  top: "caffe.BN_26"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_27"
  type: "ReLU"
  bottom: "caffe.BN_26"
  top: "caffe.BN_26"
}
layer {
  name: "caffe.SpatialConvolution_28"
  type: "Convolution"
  bottom: "caffe.BN_26"
  top: "caffe.SpatialConvolution_28"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_29"
  type: "BN"
  bottom: "caffe.SpatialConvolution_28"
  top: "caffe.BN_29"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_30"
  type: "ReLU"
  bottom: "caffe.BN_29"
  top: "caffe.BN_29"
}
layer {
  name: "caffe.SpatialConvolution_31"
  type: "Convolution"
  bottom: "caffe.BN_29"
  top: "caffe.SpatialConvolution_31"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_32"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_31"
  bottom: "caffe.BN_23"
  top: "caffe.Eltwise_32"
}
layer {
  name: "caffe.BN_33"
  type: "BN"
  bottom: "caffe.Eltwise_32"
  top: "caffe.BN_33"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_34"
  type: "ReLU"
  bottom: "caffe.BN_33"
  top: "caffe.BN_33"
}
layer {
  name: "caffe.SpatialConvolution_35"
  type: "Convolution"
  bottom: "caffe.BN_33"
  top: "caffe.SpatialConvolution_35"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_36"
  type: "BN"
  bottom: "caffe.SpatialConvolution_35"
  top: "caffe.BN_36"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_37"
  type: "ReLU"
  bottom: "caffe.BN_36"
  top: "caffe.BN_36"
}
layer {
  name: "caffe.SpatialConvolution_38"
  type: "Convolution"
  bottom: "caffe.BN_36"
  top: "caffe.SpatialConvolution_38"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_39"
  type: "BN"
  bottom: "caffe.SpatialConvolution_38"
  top: "caffe.BN_39"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_40"
  type: "ReLU"
  bottom: "caffe.BN_39"
  top: "caffe.BN_39"
}
layer {
  name: "caffe.SpatialConvolution_41"
  type: "Convolution"
  bottom: "caffe.BN_39"
  top: "caffe.SpatialConvolution_41"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.SpatialConvolution_42"
  type: "Convolution"
  bottom: "caffe.BN_33"
  top: "caffe.SpatialConvolution_42"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.Eltwise_43"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_41"
  bottom: "caffe.SpatialConvolution_42"
  top: "caffe.Eltwise_43"
}
layer {
  name: "caffe.BN_44"
  type: "BN"
  bottom: "caffe.Eltwise_43"
  top: "caffe.BN_44"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_45"
  type: "ReLU"
  bottom: "caffe.BN_44"
  top: "caffe.BN_44"
}
layer {
  name: "caffe.SpatialConvolution_46"
  type: "Convolution"
  bottom: "caffe.BN_44"
  top: "caffe.SpatialConvolution_46"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_47"
  type: "BN"
  bottom: "caffe.SpatialConvolution_46"
  top: "caffe.BN_47"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_48"
  type: "ReLU"
  bottom: "caffe.BN_47"
  top: "caffe.BN_47"
}
layer {
  name: "caffe.SpatialConvolution_49"
  type: "Convolution"
  bottom: "caffe.BN_47"
  top: "caffe.SpatialConvolution_49"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_50"
  type: "BN"
  bottom: "caffe.SpatialConvolution_49"
  top: "caffe.BN_50"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_51"
  type: "ReLU"
  bottom: "caffe.BN_50"
  top: "caffe.BN_50"
}
layer {
  name: "caffe.SpatialConvolution_52"
  type: "Convolution"
  bottom: "caffe.BN_50"
  top: "caffe.SpatialConvolution_52"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_53"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_52"
  bottom: "caffe.BN_44"
  top: "caffe.Eltwise_53"
}
layer {
  name: "caffe.BN_54"
  type: "BN"
  bottom: "caffe.Eltwise_53"
  top: "caffe.BN_54"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_55"
  type: "ReLU"
  bottom: "caffe.BN_54"
  top: "caffe.BN_54"
}
layer {
  name: "caffe.SpatialConvolution_56"
  type: "Convolution"
  bottom: "caffe.BN_54"
  top: "caffe.SpatialConvolution_56"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_57"
  type: "BN"
  bottom: "caffe.SpatialConvolution_56"
  top: "caffe.BN_57"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_58"
  type: "ReLU"
  bottom: "caffe.BN_57"
  top: "caffe.BN_57"
}
layer {
  name: "caffe.SpatialConvolution_59"
  type: "Convolution"
  bottom: "caffe.BN_57"
  top: "caffe.SpatialConvolution_59"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_60"
  type: "BN"
  bottom: "caffe.SpatialConvolution_59"
  top: "caffe.BN_60"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_61"
  type: "ReLU"
  bottom: "caffe.BN_60"
  top: "caffe.BN_60"
}
layer {
  name: "caffe.SpatialConvolution_62"
  type: "Convolution"
  bottom: "caffe.BN_60"
  top: "caffe.SpatialConvolution_62"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_63"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_62"
  bottom: "caffe.BN_54"
  top: "caffe.Eltwise_63"
}
layer {
  name: "caffe.BN_64"
  type: "BN"
  bottom: "caffe.Eltwise_63"
  top: "caffe.BN_64"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_65"
  type: "ReLU"
  bottom: "caffe.BN_64"
  top: "caffe.BN_64"
}
layer {
  name: "caffe.SpatialConvolution_66"
  type: "Convolution"
  bottom: "caffe.BN_64"
  top: "caffe.SpatialConvolution_66"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_67"
  type: "BN"
  bottom: "caffe.SpatialConvolution_66"
  top: "caffe.BN_67"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_68"
  type: "ReLU"
  bottom: "caffe.BN_67"
  top: "caffe.BN_67"
}
layer {
  name: "caffe.SpatialConvolution_69"
  type: "Convolution"
  bottom: "caffe.BN_67"
  top: "caffe.SpatialConvolution_69"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_70"
  type: "BN"
  bottom: "caffe.SpatialConvolution_69"
  top: "caffe.BN_70"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_71"
  type: "ReLU"
  bottom: "caffe.BN_70"
  top: "caffe.BN_70"
}
layer {
  name: "caffe.SpatialConvolution_72"
  type: "Convolution"
  bottom: "caffe.BN_70"
  top: "caffe.SpatialConvolution_72"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_73"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_72"
  bottom: "caffe.BN_64"
  top: "caffe.Eltwise_73"
}
layer {
  name: "caffe.BN_74"
  type: "BN"
  bottom: "caffe.Eltwise_73"
  top: "caffe.BN_74"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_75"
  type: "ReLU"
  bottom: "caffe.BN_74"
  top: "caffe.BN_74"
}
layer {
  name: "caffe.SpatialConvolution_76"
  type: "Convolution"
  bottom: "caffe.BN_74"
  top: "caffe.SpatialConvolution_76"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_77"
  type: "BN"
  bottom: "caffe.SpatialConvolution_76"
  top: "caffe.BN_77"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_78"
  type: "ReLU"
  bottom: "caffe.BN_77"
  top: "caffe.BN_77"
}
layer {
  name: "caffe.SpatialConvolution_79"
  type: "Convolution"
  bottom: "caffe.BN_77"
  top: "caffe.SpatialConvolution_79"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_80"
  type: "BN"
  bottom: "caffe.SpatialConvolution_79"
  top: "caffe.BN_80"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_81"
  type: "ReLU"
  bottom: "caffe.BN_80"
  top: "caffe.BN_80"
}
layer {
  name: "caffe.SpatialConvolution_82"
  type: "Convolution"
  bottom: "caffe.BN_80"
  top: "caffe.SpatialConvolution_82"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.SpatialConvolution_83"
  type: "Convolution"
  bottom: "caffe.BN_74"
  top: "caffe.SpatialConvolution_83"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.Eltwise_84"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_82"
  bottom: "caffe.SpatialConvolution_83"
  top: "caffe.Eltwise_84"
}
layer {
  name: "caffe.BN_85"
  type: "BN"
  bottom: "caffe.Eltwise_84"
  top: "caffe.BN_85"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_86"
  type: "ReLU"
  bottom: "caffe.BN_85"
  top: "caffe.BN_85"
}
layer {
  name: "caffe.SpatialConvolution_87"
  type: "Convolution"
  bottom: "caffe.BN_85"
  top: "caffe.SpatialConvolution_87"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_88"
  type: "BN"
  bottom: "caffe.SpatialConvolution_87"
  top: "caffe.BN_88"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_89"
  type: "ReLU"
  bottom: "caffe.BN_88"
  top: "caffe.BN_88"
}
layer {
  name: "caffe.SpatialConvolution_90"
  type: "Convolution"
  bottom: "caffe.BN_88"
  top: "caffe.SpatialConvolution_90"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_91"
  type: "BN"
  bottom: "caffe.SpatialConvolution_90"
  top: "caffe.BN_91"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_92"
  type: "ReLU"
  bottom: "caffe.BN_91"
  top: "caffe.BN_91"
}
layer {
  name: "caffe.SpatialConvolution_93"
  type: "Convolution"
  bottom: "caffe.BN_91"
  top: "caffe.SpatialConvolution_93"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_94"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_93"
  bottom: "caffe.BN_85"
  top: "caffe.Eltwise_94"
}
layer {
  name: "caffe.BN_95"
  type: "BN"
  bottom: "caffe.Eltwise_94"
  top: "caffe.BN_95"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_96"
  type: "ReLU"
  bottom: "caffe.BN_95"
  top: "caffe.BN_95"
}
layer {
  name: "caffe.SpatialConvolution_97"
  type: "Convolution"
  bottom: "caffe.BN_95"
  top: "caffe.SpatialConvolution_97"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_98"
  type: "BN"
  bottom: "caffe.SpatialConvolution_97"
  top: "caffe.BN_98"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_99"
  type: "ReLU"
  bottom: "caffe.BN_98"
  top: "caffe.BN_98"
}
layer {
  name: "caffe.SpatialConvolution_100"
  type: "Convolution"
  bottom: "caffe.BN_98"
  top: "caffe.SpatialConvolution_100"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_101"
  type: "BN"
  bottom: "caffe.SpatialConvolution_100"
  top: "caffe.BN_101"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_102"
  type: "ReLU"
  bottom: "caffe.BN_101"
  top: "caffe.BN_101"
}
layer {
  name: "caffe.SpatialConvolution_103"
  type: "Convolution"
  bottom: "caffe.BN_101"
  top: "caffe.SpatialConvolution_103"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_104"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_103"
  bottom: "caffe.BN_95"
  top: "caffe.Eltwise_104"
}
layer {
  name: "caffe.BN_105"
  type: "BN"
  bottom: "caffe.Eltwise_104"
  top: "caffe.BN_105"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    frozen: true
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_106"
  type: "ReLU"
  bottom: "caffe.BN_105"
  top: "caffe.BN_105"
}


#========= RPN ============

layer {
  name: "rpn_conv/3x3"
  type: "Convolution"
  bottom: "caffe.BN_105"
  top: "rpn/output"
  param { lr_mult: 1 decay_mult: 1 }
  param { lr_mult: 2 decay_mult: 0 }
  convolution_param {
    num_output: 512
    kernel_size: 3 pad: 1 stride: 1
    weight_filler { type: "gaussian" std: 0.01 }
    bias_filler { type: "constant" value: 0 }
  }
}
layer {
  name: "rpn_relu/3x3"
  type: "ReLU"
  bottom: "rpn/output"
  top: "rpn/output"
}

layer {
  name: "rpn_cls_score"
  type: "Convolution"
  bottom: "rpn/output"
  top: "rpn_cls_score"
  param { lr_mult: 1 decay_mult: 1 }
  param { lr_mult: 2 decay_mult: 0 }
  convolution_param {
    num_output: 18   # 2(bg/fg) * 9(anchors)
    kernel_size: 1 pad: 0 stride: 1
    weight_filler { type: "gaussian" std: 0.001 }
    bias_filler { type: "constant" value: 0 }
  }
}

layer {
  name: "rpn_bbox_pred"
  type: "Convolution"
  bottom: "rpn/output"
  top: "rpn_bbox_pred"
  param { lr_mult: 1 decay_mult: 1 }
  param { lr_mult: 2 decay_mult: 0 }
  convolution_param {
    num_output: 36   # 4 * 9(anchors)
    kernel_size: 1 pad: 0 stride: 1
    weight_filler { type: "gaussian" std: 0.001 }
    bias_filler { type: "constant" value: 0 }
  }
}

layer {
   bottom: "rpn_cls_score"
   top: "rpn_cls_score_reshape"
   name: "rpn_cls_score_reshape"
   type: "Reshape"
   reshape_param { shape { dim: 0 dim: 2 dim: -1 dim: 0 } }
}

layer {
  name: "rpn-data"
  type: "Python"
  bottom: "rpn_cls_score"
  bottom: "gt_boxes"
  bottom: "im_info"
  bottom: "data"
  top: "rpn_labels"
  top: "rpn_bbox_targets"
  top: "rpn_bbox_inside_weights"
  top: "rpn_bbox_outside_weights"
  python_param {
    module: "rpn.anchor_target_layer"
    layer: "AnchorTargetLayer"
    param_str: "'feat_stride': 16"
  }
}

layer {
  name: "rpn_loss_cls"
  type: "SoftmaxWithLoss"
  bottom: "rpn_cls_score_reshape"
  bottom: "rpn_labels"
  propagate_down: 1
  propagate_down: 0
  top: "rpn_cls_loss"
  loss_weight: 1
  loss_param {
    ignore_label: -1
    normalize: true
  }
}

layer {
  name: "rpn_bbox_loss"
  type: "SmoothL1Loss"
  bottom: "rpn_bbox_pred"
  bottom: "rpn_bbox_targets"
  bottom: "rpn_bbox_inside_weights"
  bottom: "rpn_bbox_outside_weights"
  top: "rpn_bbox_loss"
  loss_weight: 1
  smooth_l1_loss_param { sigma: 3.0 }
}

#========= RoI Proposal ============

layer {
  name: "rpn_cls_prob"
  type: "Softmax"
  bottom: "rpn_cls_score_reshape"
  top: "rpn_cls_prob"
}

layer {
  name: "rpn_cls_prob_reshape"
  type: "Reshape"
  bottom: "rpn_cls_prob"
  top: "rpn_cls_prob_reshape"
  reshape_param { shape { dim: 0 dim: 18 dim: -1 dim: 0 } }
}

layer {
  name: "proposal"
  type: "Python"
  bottom: "rpn_cls_prob_reshape"
  bottom: "rpn_bbox_pred"
  bottom: "im_info"
  top: "rpn_rois"
#  top: "rpn_scores"
  python_param {
    module: "rpn.proposal_layer"
    layer: "ProposalLayer"
    param_str: "'feat_stride': 16"
  }
}

layer {
  name: "roi-data"
  type: "Python"
  bottom: "rpn_rois"
  bottom: "gt_boxes"
  top: "rois"
  top: "labels"
  top: "bbox_targets"
  top: "bbox_inside_weights"
  top: "bbox_outside_weights"
  top: "pid_label"
  python_param {
    module: "rpn.proposal_target_layer"
    layer: "ProposalTargetLayer"
    param_str: "'num_classes': 2\n'bg_aux_label': 5532"
  }
}

#========= RCNN ============

layer {
  name: "roi_pool"
  type: "ROIPooling"
  bottom: "caffe.BN_105"
  bottom: "rois"
  top: "roi_pool"
  roi_pooling_param {
    pooled_w: 14
    pooled_h: 14
    spatial_scale: 0.0625 # 1/16
  }
}


layer {
  name: "caffe.SpatialConvolution_107"
  type: "Convolution"
  bottom: "roi_pool"
  top: "caffe.SpatialConvolution_107"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_108"
  type: "BN"
  bottom: "caffe.SpatialConvolution_107"
  top: "caffe.BN_108"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_109"
  type: "ReLU"
  bottom: "caffe.BN_108"
  top: "caffe.BN_108"
}
layer {
  name: "caffe.SpatialConvolution_110"
  type: "Convolution"
  bottom: "caffe.BN_108"
  top: "caffe.SpatialConvolution_110"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_111"
  type: "BN"
  bottom: "caffe.SpatialConvolution_110"
  top: "caffe.BN_111"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_112"
  type: "ReLU"
  bottom: "caffe.BN_111"
  top: "caffe.BN_111"
}
layer {
  name: "caffe.SpatialConvolution_113"
  type: "Convolution"
  bottom: "caffe.BN_111"
  top: "caffe.SpatialConvolution_113"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_114"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_113"
  bottom: "roi_pool"
  top: "caffe.Eltwise_114"
}
layer {
  name: "caffe.BN_115"
  type: "BN"
  bottom: "caffe.Eltwise_114"
  top: "caffe.BN_115"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_116"
  type: "ReLU"
  bottom: "caffe.BN_115"
  top: "caffe.BN_115"
}
layer {
  name: "caffe.SpatialConvolution_117"
  type: "Convolution"
  bottom: "caffe.BN_115"
  top: "caffe.SpatialConvolution_117"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_118"
  type: "BN"
  bottom: "caffe.SpatialConvolution_117"
  top: "caffe.BN_118"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_119"
  type: "ReLU"
  bottom: "caffe.BN_118"
  top: "caffe.BN_118"
}
layer {
  name: "caffe.SpatialConvolution_120"
  type: "Convolution"
  bottom: "caffe.BN_118"
  top: "caffe.SpatialConvolution_120"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_121"
  type: "BN"
  bottom: "caffe.SpatialConvolution_120"
  top: "caffe.BN_121"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_122"
  type: "ReLU"
  bottom: "caffe.BN_121"
  top: "caffe.BN_121"
}
layer {
  name: "caffe.SpatialConvolution_123"
  type: "Convolution"
  bottom: "caffe.BN_121"
  top: "caffe.SpatialConvolution_123"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_124"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_123"
  bottom: "caffe.BN_115"
  top: "caffe.Eltwise_124"
}
layer {
  name: "caffe.BN_125"
  type: "BN"
  bottom: "caffe.Eltwise_124"
  top: "caffe.BN_125"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_126"
  type: "ReLU"
  bottom: "caffe.BN_125"
  top: "caffe.BN_125"
}
layer {
  name: "caffe.SpatialConvolution_127"
  type: "Convolution"
  bottom: "caffe.BN_125"
  top: "caffe.SpatialConvolution_127"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_128"
  type: "BN"
  bottom: "caffe.SpatialConvolution_127"
  top: "caffe.BN_128"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_129"
  type: "ReLU"
  bottom: "caffe.BN_128"
  top: "caffe.BN_128"
}
layer {
  name: "caffe.SpatialConvolution_130"
  type: "Convolution"
  bottom: "caffe.BN_128"
  top: "caffe.SpatialConvolution_130"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_131"
  type: "BN"
  bottom: "caffe.SpatialConvolution_130"
  top: "caffe.BN_131"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_132"
  type: "ReLU"
  bottom: "caffe.BN_131"
  top: "caffe.BN_131"
}
layer {
  name: "caffe.SpatialConvolution_133"
  type: "Convolution"
  bottom: "caffe.BN_131"
  top: "caffe.SpatialConvolution_133"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 1024
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_134"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_133"
  bottom: "caffe.BN_125"
  top: "caffe.Eltwise_134"
}
layer {
  name: "caffe.BN_135"
  type: "BN"
  bottom: "caffe.Eltwise_134"
  top: "caffe.BN_135"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_136"
  type: "ReLU"
  bottom: "caffe.BN_135"
  top: "caffe.BN_135"
}
layer {
  name: "caffe.SpatialConvolution_137"
  type: "Convolution"
  bottom: "caffe.BN_135"
  top: "caffe.SpatialConvolution_137"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_138"
  type: "BN"
  bottom: "caffe.SpatialConvolution_137"
  top: "caffe.BN_138"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_139"
  type: "ReLU"
  bottom: "caffe.BN_138"
  top: "caffe.BN_138"
}
layer {
  name: "caffe.SpatialConvolution_140"
  type: "Convolution"
  bottom: "caffe.BN_138"
  top: "caffe.SpatialConvolution_140"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.BN_141"
  type: "BN"
  bottom: "caffe.SpatialConvolution_140"
  top: "caffe.BN_141"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_142"
  type: "ReLU"
  bottom: "caffe.BN_141"
  top: "caffe.BN_141"
}
layer {
  name: "caffe.SpatialConvolution_143"
  type: "Convolution"
  bottom: "caffe.BN_141"
  top: "caffe.SpatialConvolution_143"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 2048
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.SpatialConvolution_144"
  type: "Convolution"
  bottom: "caffe.BN_135"
  top: "caffe.SpatialConvolution_144"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 2048
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "caffe.Eltwise_145"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_143"
  bottom: "caffe.SpatialConvolution_144"
  top: "caffe.Eltwise_145"
}
layer {
  name: "caffe.BN_146"
  type: "BN"
  bottom: "caffe.Eltwise_145"
  top: "caffe.BN_146"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_147"
  type: "ReLU"
  bottom: "caffe.BN_146"
  top: "caffe.BN_146"
}
layer {
  name: "caffe.SpatialConvolution_148"
  type: "Convolution"
  bottom: "caffe.BN_146"
  top: "caffe.SpatialConvolution_148"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_149"
  type: "BN"
  bottom: "caffe.SpatialConvolution_148"
  top: "caffe.BN_149"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_150"
  type: "ReLU"
  bottom: "caffe.BN_149"
  top: "caffe.BN_149"
}
layer {
  name: "caffe.SpatialConvolution_151"
  type: "Convolution"
  bottom: "caffe.BN_149"
  top: "caffe.SpatialConvolution_151"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_152"
  type: "BN"
  bottom: "caffe.SpatialConvolution_151"
  top: "caffe.BN_152"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_153"
  type: "ReLU"
  bottom: "caffe.BN_152"
  top: "caffe.BN_152"
}
layer {
  name: "caffe.SpatialConvolution_154"
  type: "Convolution"
  bottom: "caffe.BN_152"
  top: "caffe.SpatialConvolution_154"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 2048
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_155"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_154"
  bottom: "caffe.BN_146"
  top: "caffe.Eltwise_155"
}
layer {
  name: "caffe.BN_156"
  type: "BN"
  bottom: "caffe.Eltwise_155"
  top: "caffe.BN_156"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_157"
  type: "ReLU"
  bottom: "caffe.BN_156"
  top: "caffe.BN_156"
}
layer {
  name: "caffe.SpatialConvolution_158"
  type: "Convolution"
  bottom: "caffe.BN_156"
  top: "caffe.SpatialConvolution_158"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_159"
  type: "BN"
  bottom: "caffe.SpatialConvolution_158"
  top: "caffe.BN_159"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_160"
  type: "ReLU"
  bottom: "caffe.BN_159"
  top: "caffe.BN_159"
}
layer {
  name: "caffe.SpatialConvolution_161"
  type: "Convolution"
  bottom: "caffe.BN_159"
  top: "caffe.SpatialConvolution_161"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.BN_162"
  type: "BN"
  bottom: "caffe.SpatialConvolution_161"
  top: "caffe.BN_162"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_163"
  type: "ReLU"
  bottom: "caffe.BN_162"
  top: "caffe.BN_162"
}
layer {
  name: "caffe.SpatialConvolution_164"
  type: "Convolution"
  bottom: "caffe.BN_162"
  top: "caffe.SpatialConvolution_164"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 2048
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "caffe.Eltwise_165"
  type: "Eltwise"
  bottom: "caffe.SpatialConvolution_164"
  bottom: "caffe.BN_156"
  top: "caffe.Eltwise_165"
}
layer {
  name: "caffe.BN_166"
  type: "BN"
  bottom: "caffe.Eltwise_165"
  top: "caffe.BN_166"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  bn_param {
    slope_filler {
      value: 1
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "caffe.ReLU_167"
  type: "ReLU"
  bottom: "caffe.BN_166"
  top: "caffe.BN_166"
}
layer {
  name: "caffe.Pooling_168"
  type: "Pooling"
  bottom: "caffe.BN_166"
  top: "caffe.Pooling_168"
  pooling_param {
    pool: AVE
    kernel_h: 7
    kernel_w: 7
    stride_h: 1
    stride_w: 1
    pad_h: 0
    pad_w: 0
  }
}

#================================== detection ==================================
layer {
  name: "det_score"
  type: "InnerProduct"
  bottom: "caffe.Pooling_168"
  top: "det_score"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "det_accuracy"
  type: "Accuracy"
  bottom: "det_score"
  bottom: "labels"
  top: "det_accuracy"
  accuracy_param {
    ignore_label: -1
  }
}
layer {
  name: "det_loss"
  type: "SoftmaxWithLoss"
  bottom: "det_score"
  bottom: "labels"
  top: "det_loss"
  propagate_down: 1
  propagate_down: 0
  loss_weight: 1
  loss_param {
    ignore_label: -1
    normalize: true
  }
}


#================================== bbox regression ==================================
layer {
  name: "bbox_pred"
  type: "InnerProduct"
  bottom: "caffe.Pooling_168"
  top: "bbox_pred"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  inner_product_param {
    num_output: 8
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "loss_bbox"
  type: "SmoothL1Loss"
  bottom: "bbox_pred"
  bottom: "bbox_targets"
  bottom: "bbox_inside_weights"
  bottom: "bbox_outside_weights"
  top: "loss_bbox"
  loss_weight: 1
}


#================================== identification ==================================
layer {
  name: "feat_lowdim"
  type: "InnerProduct"
  bottom: "caffe.Pooling_168"
  top: "feat_lowdim"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 256
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "feat"
  type: "Normalize"
  bottom: "feat_lowdim"
  top: "feat"
}
layer {
  name: "labeled_matching"
  type: "LabeledMatching"
  bottom: "feat"
  bottom: "pid_label"
  top: "labeled_matching_scores"
  top: "id_labels"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  labeled_matching_param {
    num_classes: 5532
    momentum: 0.5
  }
}
layer {
  name: "labeled_matching_scores_scale"
  type: "Power"
  bottom: "labeled_matching_scores"
  top: "labeled_matching_scores_scaled"
  power_param {
    scale: 10
  }
}
layer {
  name: "unlabeled_matching"
  type: "UnlabeledMatching"
  bottom: "feat"
  bottom: "pid_label"
  top: "unlabeled_matching_scores"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  unlabeled_matching_param {
    queue_size: 5000
  }
}
layer {
  name: "unlabeled_matching_scores_scale"
  type: "Power"
  bottom: "unlabeled_matching_scores"
  top: "unlabeled_matching_scores_scaled"
  power_param {
    scale: 10
  }
}
layer {
  name: "concat"
  type: "Concat"
  bottom: "labeled_matching_scores_scaled"
  bottom: "unlabeled_matching_scores_scaled"
  top: "id_scores"
}
layer {
  name: "id_accuracy"
  type: "Accuracy"
  bottom: "id_scores"
  bottom: "id_labels"
  top: "id_accuracy"
  accuracy_param {
    ignore_label: -1
  }
}
layer {
  name: "id_loss"
  type: "SoftmaxWithLoss"
  bottom: "id_scores"
  bottom: "id_labels"
  top: "id_loss"
  propagate_down: 1
  propagate_down: 0
  loss_weight: 1
  loss_param {
    ignore_label: -1
    normalize: true
  }
}