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DehazeNet/DehazeFcnTemplate.prototxt

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+name: "Dehaze_fullconv"
+input: "data"
+input_dim: 1
+input_dim: 3
+input_dim: {height_15}
+input_dim: {width_15}
+
+layer {{
+  name: "conv1"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv1"
+  convolution_param {{
+    num_output: 20
+    kernel_size: 5
+    stride: 1
+    pad: 0
+  }}
+}}
+
+layer {{
+  name: "relu1"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+}}
+
+layer {{
+    name: "reshape1"
+    type: "Reshape"
+    bottom: "conv1"
+    top: "reshape1"
+    reshape_param {{
+      shape {{
+        dim: 0
+        dim: 1
+        dim: 20
+        dim: -1
+      }}
+    }}
+}}
+
+layer {{
+  name: "pool1"
+  type: "Pooling"
+  bottom: "reshape1"
+  top: "pool1"
+  pooling_param {{
+    pool: MAX
+    kernel_w: 1
+    kernel_h: 5
+    stride_w: 1
+    stride_h: 5
+  }}
+}}
+
+layer {{
+ name: "reshape2"
+ type: "Reshape"
+ bottom: "pool1"
+ top: "reshape2"
+ reshape_param {{
+    shape {{
+      dim: 0
+      dim: 4
+      dim: {height_11}
+      dim: {width_11}
+    }}
+  }}
+}}
+
+layer {{
+  name: "conv2/1x1"
+  type: "Convolution"
+  bottom: "reshape2"
+  top: "conv2/1x1"
+  convolution_param {{
+    num_output: 16
+    kernel_size: 1
+    stride: 1
+    pad: 0
+  }}
+}}
+
+layer {{
+  name: "conv2/3x3"
+  type: "Convolution"
+  bottom: "reshape2"
+  top: "conv2/3x3"
+  convolution_param {{
+    num_output: 16
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }}
+}}
+
+layer {{
+  name: "conv2/5x5"
+  type: "Convolution"
+  bottom: "reshape2"
+  top: "conv2/5x5"
+  convolution_param {{
+    num_output: 16
+    kernel_size: 5
+    stride: 1
+    pad: 2
+  }}
+}}
+
+layer {{
+  name: "conv2/7x7"
+  type: "Convolution"
+  bottom: "reshape2"
+  top: "conv2/7x7"
+  convolution_param {{
+    num_output: 16
+    kernel_size: 7
+    stride: 1
+    pad: 3
+  }}
+}}
+
+layer {{
+  name: "conv2/output"
+  type: "Concat"
+  bottom: "conv2/1x1"
+  bottom: "conv2/3x3"
+  bottom: "conv2/5x5"
+  bottom: "conv2/7x7"
+  top: "conv2/output"
+  concat_param 
+ {{
+    axis: 1
+  }}
+}}
+
+layer {{
+  name: "relu2"
+  type: "ReLU"
+  bottom: "conv2/output"
+  top: "conv2/output"
+}}
+
+layer {{
+  name: "pool2"
+  type: "Pooling"
+  bottom: "conv2/output"
+  top: "pool2"
+  pooling_param {{
+    pool: MAX
+    kernel_size: 8
+    stride: 1
+  }}
+}}
+
+layer {{
+  name: "ip1-conv"
+  type: "Convolution"
+  bottom: "pool2"
+  top: "ip1-conv"
+  convolution_param {{
+    num_output: 1
+    kernel_size: 5
+  }}
+}}
+
+layer {{
+  name: "drelu1"
+  type: "ReLU"
+  bottom: "ip1-conv"
+  top: "ip1-conv"
+}}