convFace-12

deploy_convFace-12.prototxt

input: "data"
input_dim: 1
input_dim: 3
input_dim: 112
input_dim: 112
##################################

layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 5
    stride: 2
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu1"
  type: "PReLU"
  bottom: "conv1"
  top: "conv1"
}

layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "conv1"
  top: "conv1_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu1_1"
  type: "PReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}

layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu1_2"
  type: "PReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}


layer {
  name: "conv2"
  type: "Convolution"
  bottom: "conv1_2"
  top: "conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu2"
  type: "PReLU"
  bottom: "conv2"
  top: "conv2"
}

layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "conv2"
  top: "conv2_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu2_1"
  type: "PReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}

layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu2_2"
  type: "PReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}


layer {
  name: "conv3"
  type: "Convolution"
  bottom: "conv2_2"
  top: "conv3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu3"
  type: "PReLU"
  bottom: "conv3"
  top: "conv3"
}

layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "conv3"
  top: "conv3_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu3_1"
  type: "PReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}

layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}
layer {
  name: "relu3_2"
  type: "PReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}


layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv4"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}

layer {
  name: "relu4"
  type: "PReLU"
  bottom: "conv4"
  top: "conv4"
}

layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "conv4"
  top: "conv4_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}

layer {
  name: "relu4_1"
  type: "PReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}

layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    kernel_size: 3
    stride: 1
    pad:1
    weight_filler {
      type: "xavier"
    }
      bias_term: false
	normalize:true
  }
}

layer {
  name: "relu4_2"
  type: "PReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}

layer {
  name: "fc5"
  type: "InnerProduct"
  bottom: "conv4_2"
  top: "fc5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 128
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}