174 lines
2.3 KiB
Plaintext
174 lines
2.3 KiB
Plaintext
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"
|
|
}}
|