train_val.prototxt

layer {
  name: "DocData1"
  type: "DocData"
  top: "DocData1"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    params {
      color_jitter_params {
        sigma: 0.0392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/original_images/original_images_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "DocData2"
  type: "DocData"
  top: "DocData2"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    params {
      color_jitter_params {
        sigma: 0.0392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/relative_darkness2/5/10/relative_darkness2_5_10_lower_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "DocData3"
  type: "DocData"
  top: "DocData3"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    params {
      color_jitter_params {
        sigma: 0.0392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/relative_darkness2/5/10/relative_darkness2_5_10_middle_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "DocData4"
  type: "DocData"
  top: "DocData4"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    params {
      color_jitter_params {
        sigma: 0.0392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/relative_darkness2/5/10/relative_darkness2_5_10_upper_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "data"
  type: "Concat"
  bottom: "DocData1"
  bottom: "DocData2"
  bottom: "DocData3"
  bottom: "DocData4"
  top: "data"
  include {
    phase: TRAIN
  }
}
layer {
  name: "gt"
  type: "DocData"
  top: "gt"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 1
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/processed_gt/processed_gt_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "recall_weights"
  type: "DocData"
  top: "recall_weights"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: -0.0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/recall_weights/recall_weights_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "precision_weights"
  type: "DocData"
  top: "precision_weights"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/precision_weights/precision_weights_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "recall_equal_weights"
  type: "DocData"
  top: "recall_equal_weights"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/uniform_recall_weights/uniform_recall_weights_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "precision_equal_weights"
  type: "DocData"
  top: "precision_equal_weights"
  include {
    phase: TRAIN
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/uniform_precision_weights/uniform_precision_weights_train_lmdb"
    batch_size: 10
    backend: LMDB
    rand_advance_skip: 10
    seed: 142329779
  }
}
layer {
  name: "DocData5"
  type: "DocData"
  top: "DocData5"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/original_images/original_images_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "DocData6"
  type: "DocData"
  top: "DocData6"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/relative_darkness2/5/10/relative_darkness2_5_10_lower_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "DocData7"
  type: "DocData"
  top: "DocData7"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/relative_darkness2/5/10/relative_darkness2_5_10_middle_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "DocData8"
  type: "DocData"
  top: "DocData8"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 127
        scale: 0.00392156862745
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/relative_darkness2/5/10/relative_darkness2_5_10_upper_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "data"
  type: "Concat"
  bottom: "DocData5"
  bottom: "DocData6"
  bottom: "DocData7"
  bottom: "DocData8"
  top: "data"
  include {
    phase: TEST
  }
}
layer {
  name: "gt"
  type: "DocData"
  top: "gt"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 1
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/processed_gt/processed_gt_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "recall_weights"
  type: "DocData"
  top: "recall_weights"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/recall_weights/recall_weights_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "precision_weights"
  type: "DocData"
  top: "precision_weights"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/precision_weights/precision_weights_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "recall_equal_weights"
  type: "DocData"
  top: "recall_equal_weights"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/uniform_recall_weights/uniform_recall_weights_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "precision_equal_weights"
  type: "DocData"
  top: "precision_equal_weights"
  include {
    phase: TEST
  }
  image_transform_param {
    params {
      linear_params {
        shift: 0
        scale: 0.0078125
      }
    }
    rng_seed: 142329779
  }
  doc_data_param {
    sources: "256/uniform_precision_weights/uniform_precision_weights_val_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "data"
  top: "Convolution1"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU1"
  type: "ReLU"
  bottom: "Convolution1"
  top: "Convolution1"
}
layer {
  name: "Convolution2"
  type: "Convolution"
  bottom: "Convolution1"
  top: "Convolution2"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU2"
  type: "ReLU"
  bottom: "Convolution2"
  top: "Convolution2"
}
layer {
  name: "Convolution3"
  type: "Convolution"
  bottom: "Convolution2"
  top: "Convolution3"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU3"
  type: "ReLU"
  bottom: "Convolution3"
  top: "Convolution3"
}
layer {
  name: "Convolution4"
  type: "Convolution"
  bottom: "Convolution3"
  top: "Convolution4"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU4"
  type: "ReLU"
  bottom: "Convolution4"
  top: "Convolution4"
}
layer {
  name: "Convolution5"
  type: "Convolution"
  bottom: "Convolution4"
  top: "Convolution5"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU5"
  type: "ReLU"
  bottom: "Convolution5"
  top: "Convolution5"
}
layer {
  name: "Convolution6"
  type: "Convolution"
  bottom: "Convolution5"
  top: "Convolution6"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU6"
  type: "ReLU"
  bottom: "Convolution6"
  top: "Convolution6"
}
layer {
  name: "Convolution7"
  type: "Convolution"
  bottom: "Convolution6"
  top: "Convolution7"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU7"
  type: "ReLU"
  bottom: "Convolution7"
  top: "Convolution7"
}
layer {
  name: "Pooling1"
  type: "Pooling"
  bottom: "Convolution1"
  top: "Pooling1"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "Convolution8"
  type: "Convolution"
  bottom: "Pooling1"
  top: "Convolution8"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU8"
  type: "ReLU"
  bottom: "Convolution8"
  top: "Convolution8"
}
layer {
  name: "Convolution9"
  type: "Convolution"
  bottom: "Convolution8"
  top: "Convolution9"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU9"
  type: "ReLU"
  bottom: "Convolution9"
  top: "Convolution9"
}
layer {
  name: "Convolution10"
  type: "Convolution"
  bottom: "Convolution9"
  top: "Convolution10"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU10"
  type: "ReLU"
  bottom: "Convolution10"
  top: "Convolution10"
}
layer {
  name: "Convolution11"
  type: "Convolution"
  bottom: "Convolution10"
  top: "Convolution11"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU11"
  type: "ReLU"
  bottom: "Convolution11"
  top: "Convolution11"
}
layer {
  name: "Convolution12"
  type: "Convolution"
  bottom: "Convolution11"
  top: "Convolution12"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU12"
  type: "ReLU"
  bottom: "Convolution12"
  top: "Convolution12"
}
layer {
  name: "Convolution13"
  type: "Convolution"
  bottom: "Convolution12"
  top: "Convolution13"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU13"
  type: "ReLU"
  bottom: "Convolution13"
  top: "Convolution13"
}
layer {
  name: "BilinearInterpolation1"
  type: "BilinearInterpolation"
  bottom: "Convolution13"
  bottom: "data"
  top: "BilinearInterpolation1"
}
layer {
  name: "Pooling2"
  type: "Pooling"
  bottom: "Convolution8"
  top: "Pooling2"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "Convolution14"
  type: "Convolution"
  bottom: "Pooling2"
  top: "Convolution14"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU14"
  type: "ReLU"
  bottom: "Convolution14"
  top: "Convolution14"
}
layer {
  name: "Convolution15"
  type: "Convolution"
  bottom: "Convolution14"
  top: "Convolution15"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU15"
  type: "ReLU"
  bottom: "Convolution15"
  top: "Convolution15"
}
layer {
  name: "Convolution16"
  type: "Convolution"
  bottom: "Convolution15"
  top: "Convolution16"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU16"
  type: "ReLU"
  bottom: "Convolution16"
  top: "Convolution16"
}
layer {
  name: "Convolution17"
  type: "Convolution"
  bottom: "Convolution16"
  top: "Convolution17"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU17"
  type: "ReLU"
  bottom: "Convolution17"
  top: "Convolution17"
}
layer {
  name: "Convolution18"
  type: "Convolution"
  bottom: "Convolution17"
  top: "Convolution18"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU18"
  type: "ReLU"
  bottom: "Convolution18"
  top: "Convolution18"
}
layer {
  name: "BilinearInterpolation2"
  type: "BilinearInterpolation"
  bottom: "Convolution18"
  bottom: "data"
  top: "BilinearInterpolation2"
}
layer {
  name: "Pooling3"
  type: "Pooling"
  bottom: "Convolution14"
  top: "Pooling3"
  pooling_param {
    pool: AVE
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "Convolution19"
  type: "Convolution"
  bottom: "Pooling3"
  top: "Convolution19"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU19"
  type: "ReLU"
  bottom: "Convolution19"
  top: "Convolution19"
}
layer {
  name: "Convolution20"
  type: "Convolution"
  bottom: "Convolution19"
  top: "Convolution20"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU20"
  type: "ReLU"
  bottom: "Convolution20"
  top: "Convolution20"
}
layer {
  name: "Convolution21"
  type: "Convolution"
  bottom: "Convolution20"
  top: "Convolution21"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU21"
  type: "ReLU"
  bottom: "Convolution21"
  top: "Convolution21"
}
layer {
  name: "Convolution22"
  type: "Convolution"
  bottom: "Convolution21"
  top: "Convolution22"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU22"
  type: "ReLU"
  bottom: "Convolution22"
  top: "Convolution22"
}
layer {
  name: "BilinearInterpolation3"
  type: "BilinearInterpolation"
  bottom: "Convolution22"
  bottom: "data"
  top: "BilinearInterpolation3"
}
layer {
  name: "merged"
  type: "Concat"
  bottom: "Convolution7"
  bottom: "BilinearInterpolation1"
  bottom: "BilinearInterpolation2"
  bottom: "BilinearInterpolation3"
  top: "merged"
}
layer {
  name: "Convolution23"
  type: "Convolution"
  bottom: "merged"
  top: "Convolution23"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "ReLU23"
  type: "ReLU"
  bottom: "Convolution23"
  top: "Convolution23"
}
layer {
  name: "Convolution24"
  type: "Convolution"
  bottom: "Convolution23"
  top: "Convolution24"
  param {
    lr_mult: 1
  }
  param {
    lr_mult: 2
  }
  convolution_param {
    num_output: 1
    pad: 4
    kernel_size: 9
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "Sigmoid1"
  type: "Sigmoid"
  bottom: "Convolution24"
  top: "Convolution24"
}
layer {
  name: "equal_fmeasure_loss"
  type: "WeightedFmeasureLoss"
  bottom: "Convolution24"
  bottom: "gt"
  bottom: "recall_equal_weights"
  bottom: "precision_equal_weights"
  top: "equal_fmeasure_loss"
  weighted_fmeasure_loss_param {
    avg_fm: false
  }
}
layer {
  name: "weighted_fmeasure_loss"
  type: "WeightedFmeasureLoss"
  bottom: "Convolution24"
  bottom: "gt"
  bottom: "recall_weights"
  bottom: "precision_weights"
  top: "weighted_fmeasure_loss"
  loss_weight: 1.0
  weighted_fmeasure_loss_param {
    margin: 0.5
    avg_fm: false
  }
}
layer {
  name: "precision"
  type: "PR"
  bottom: "Convolution24"
  bottom: "gt"
  top: "precision"
  top: "recall"
  top: "accuracy"
  top: "nmr"
  top: "fmeasure"
  include {
    phase: TEST
  }
}