modularization_models/detection/license_plate_recognition/lpr/model/Segmentation.prototxt

input: "data"
input_dim: 1
input_dim: 1
input_dim: 22
input_dim: 22
layer {
  name: "conv2d_12"
  type: "Convolution"
  bottom: "data"
  top: "conv2d_12"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "activation_18"
  type: "ReLU"
  bottom: "conv2d_12"
  top: "activation_18"
}
layer {
  name: "max_pooling2d_10"
  type: "Pooling"
  bottom: "activation_18"
  top: "max_pooling2d_10"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
    pad: 0
  }
}
layer {
  name: "conv2d_13"
  type: "Convolution"
  bottom: "max_pooling2d_10"
  top: "conv2d_13"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "activation_19"
  type: "ReLU"
  bottom: "conv2d_13"
  top: "activation_19"
}
layer {
  name: "max_pooling2d_11"
  type: "Pooling"
  bottom: "activation_19"
  top: "max_pooling2d_11"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
    pad: 0
  }
}
layer {
  name: "flatten_6"
  type: "Flatten"
  bottom: "max_pooling2d_11"
  top: "flatten_6"
}
layer {
  name: "dense_9"
  type: "InnerProduct"
  bottom: "flatten_6"
  top: "dense_9"
  inner_product_param {
    num_output: 256
  }
}
layer {
  name: "dropout_9"
  type: "Dropout"
  bottom: "dense_9"
  top: "dropout_9"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "activation_20"
  type: "ReLU"
  bottom: "dropout_9"
  top: "activation_20"
}
layer {
  name: "dense_10"
  type: "InnerProduct"
  bottom: "activation_20"
  top: "dense_10"
  inner_product_param {
    num_output: 3
  }
}


  layer {
  name: "prob"
  type: "Softmax"
  bottom: "dense_10"
  top: "prob"
}