salicon.prototxt

name: "Salicon"
layer {
  name: "FineCustomData"
  type: "Python"
  top: "fine_scale"
  python_param {
    module: "CustomData"
    layer: "CustomData"
    param_str: "1,3,1200,1600"
  }
}
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "fine_scale"
  top: "conv1_1"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2_1"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3_1"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3_3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_2"
  type: "ReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_3"
  type: "ReLU"
  bottom: "conv4_3"
  top: "conv4_3"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4_3"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv5_1"
  type: "Convolution"
  bottom: "pool4"
  top: "conv5_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu5_1"
  type: "ReLU"
  bottom: "conv5_1"
  top: "conv5_1"
}
layer {
  name: "conv5_2"
  type: "Convolution"
  bottom: "conv5_1"
  top: "conv5_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu5_2"
  type: "ReLU"
  bottom: "conv5_2"
  top: "conv5_2"
}
layer {
  name: "conv5_3"
  type: "Convolution"
  bottom: "conv5_2"
  top: "conv5_3"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu5_3"
  type: "ReLU"
  bottom: "conv5_3"
  top: "conv5_3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5_3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "CoarseCustomData"
  type: "Python"
  top: "coarse_scale"
  python_param {
    module: "CustomData"
    layer: "CustomData"
    param_str: "1,3,600,800"
  }
}
layer {
  name: "sec_conv1_1"
  type: "Convolution"
  bottom: "coarse_scale"
  top: "sec_conv1_1"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu1_1"
  type: "ReLU"
  bottom: "sec_conv1_1"
  top: "sec_conv1_1"
}
layer {
  name: "sec_conv1_2"
  type: "Convolution"
  bottom: "sec_conv1_1"
  top: "sec_conv1_2"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu1_2"
  type: "ReLU"
  bottom: "sec_conv1_2"
  top: "sec_conv1_2"
}
layer {
  name: "sec_pool1"
  type: "Pooling"
  bottom: "sec_conv1_2"
  top: "sec_pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "sec_conv2_1"
  type: "Convolution"
  bottom: "sec_pool1"
  top: "sec_conv2_1"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu2_1"
  type: "ReLU"
  bottom: "sec_conv2_1"
  top: "sec_conv2_1"
}
layer {
  name: "sec_conv2_2"
  type: "Convolution"
  bottom: "sec_conv2_1"
  top: "sec_conv2_2"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu2_2"
  type: "ReLU"
  bottom: "sec_conv2_2"
  top: "sec_conv2_2"
}
layer {
  name: "sec_pool2"
  type: "Pooling"
  bottom: "sec_conv2_2"
  top: "sec_pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "sec_conv3_1"
  type: "Convolution"
  bottom: "sec_pool2"
  top: "sec_conv3_1"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu3_1"
  type: "ReLU"
  bottom: "sec_conv3_1"
  top: "sec_conv3_1"
}
layer {
  name: "sec_conv3_2"
  type: "Convolution"
  bottom: "sec_conv3_1"
  top: "sec_conv3_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu3_2"
  type: "ReLU"
  bottom: "sec_conv3_2"
  top: "sec_conv3_2"
}
layer {
  name: "sec_conv3_3"
  type: "Convolution"
  bottom: "sec_conv3_2"
  top: "sec_conv3_3"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu3_3"
  type: "ReLU"
  bottom: "sec_conv3_3"
  top: "sec_conv3_3"
}
layer {
  name: "sec_pool3"
  type: "Pooling"
  bottom: "sec_conv3_3"
  top: "sec_pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "sec_conv4_1"
  type: "Convolution"
  bottom: "sec_pool3"
  top: "sec_conv4_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu4_1"
  type: "ReLU"
  bottom: "sec_conv4_1"
  top: "sec_conv4_1"
}
layer {
  name: "sec_conv4_2"
  type: "Convolution"
  bottom: "sec_conv4_1"
  top: "sec_conv4_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu4_2"
  type: "ReLU"
  bottom: "sec_conv4_2"
  top: "sec_conv4_2"
}
layer {
  name: "sec_conv4_3"
  type: "Convolution"
  bottom: "sec_conv4_2"
  top: "sec_conv4_3"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu4_3"
  type: "ReLU"
  bottom: "sec_conv4_3"
  top: "sec_conv4_3"
}
layer {
  name: "sec_pool4"
  type: "Pooling"
  bottom: "sec_conv4_3"
  top: "sec_pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "sec_conv5_1"
  type: "Convolution"
  bottom: "sec_pool4"
  top: "sec_conv5_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu5_1"
  type: "ReLU"
  bottom: "sec_conv5_1"
  top: "sec_conv5_1"
}
layer {
  name: "sec_conv5_2"
  type: "Convolution"
  bottom: "sec_conv5_1"
  top: "sec_conv5_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu5_2"
  type: "ReLU"
  bottom: "sec_conv5_2"
  top: "sec_conv5_2"
}
layer {
  name: "sec_conv5_3"
  type: "Convolution"
  bottom: "sec_conv5_2"
  top: "sec_conv5_3"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "sec_relu5_3"
  type: "ReLU"
  bottom: "sec_conv5_3"
  top: "sec_conv5_3"
}
layer {
  name: "sec_pool5"
  type: "Pooling"
  bottom: "sec_conv5_3"
  top: "sec_pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "custom_interpolation_layer"
  type: "Python"
  bottom: "sec_pool5"
  top: "interpolated_data"
  python_param {
    module: "custom_interpolation_layer"
    layer: "custom_interpolation_layer"
    param_str: "1,512,38,50"
  }
}
layer {
  name: "my_concatenator"
  type: "Concat"
  bottom: "interpolated_data"
  bottom: "pool5"
  top: "my_concatenator"
  concat_param {
    axis: 1
  }
}
layer {
  name: "saliency_map"
  type: "Convolution"
  bottom: "my_concatenator"
  top: "saliency_map"
  convolution_param {
    num_output: 1
    #pad: 1
    kernel_size: 1
  }
}
layer {
  name: "saliency_map_out"
  type: "Sigmoid"
  bottom: "saliency_map"
  top: "saliency_map_out"
}