deploy_crack.prototxt

name: "Deep_Crack_Detection_CV_4"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 99
input_dim: 99



layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
#  blobs_lr: 1
#  blobs_lr: 2
  convolution_param {
    num_output: 48
    kernel_size: 4
    stride: 1
#    weight_filler {
#      type: "xavier"
#    }
#    bias_filler {
#      type: "constant"
#    }
  }
}
layer {
  name: "relu_c_1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2"
#  blobs_lr: 1
#  blobs_lr: 2
  convolution_param {
    num_output: 48
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu_c_2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "conv3"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3"
#  blobs_lr: 1
#  blobs_lr: 2
  convolution_param {
    num_output: 48
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu_c_3"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4"
#  blobs_lr: 1
#  blobs_lr: 2
  convolution_param {
    num_output: 48
    kernel_size: 4
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu_c_4"
  type: "ReLU"
  bottom: "conv4"
  top: "conv4"
}

layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "ip1"
  type: "InnerProduct"
  bottom: "pool4"
  top: "ip1"
#  blobs_lr: 1
#  blobs_lr: 2
  inner_product_param {
    num_output: 200
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "ip1"
  top: "ip1"
}
layer {
  name: "drop1"
  type: "Dropout"
  bottom: "ip1"
  top: "ip1"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "ip2"
  type: "InnerProduct"
  bottom: "ip1"
  top: "ip2"
#  blobs_lr: 1
#  blobs_lr: 2
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "prob"
  type: "Softmax"
  bottom: "ip2"
  top: "prob"
}