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deploy_lab.prototxt
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deploy_lab.prototxt
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layer {
name: "input"
type: "Input"
top: "img_lab" # image in Lab color space
input_param { shape { dim: 1 dim: 3 dim: 227 dim: 227 } }
}
layer { # 0-center lightness channel
name: "data_lab"
type: "Convolution"
bottom: "img_lab"
top: "data_lab" # [-50,50]
propagate_down: false
param {lr_mult: 0 decay_mult: 0}
param {lr_mult: 0 decay_mult: 0}
convolution_param {
kernel_size: 1
num_output: 3
group: 3
}
}
layer {
name: "conv1"
type: "Convolution"
# bottom: "img"
bottom: "data_lab"
# bottom: "img_bn"
top: "conv1"
param {lr_mult: 0 decay_mult: 0}
param {lr_mult: 0 decay_mult: 0}
convolution_param {
num_output: 96
kernel_size: 11
stride: 4
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
param { lr_mult: 0 decay_mult: 0 }
param { lr_mult: 0 decay_mult: 0 }
convolution_param {
num_output: 256
pad: 2
kernel_size: 5
group: 2
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "pool2"
type: "Pooling"
# bottom: "conv2"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
# pad: 1
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "pool2"
top: "conv3"
# propagate_down: false
param { lr_mult: 0 decay_mult: 0 }
param { lr_mult: 0 decay_mult: 0 }
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu3"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv4"
type: "Convolution"
bottom: "conv3"
top: "conv4"
param { lr_mult: 0 decay_mult: 0 }
param { lr_mult: 0 decay_mult: 0 }
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
group: 2
}
}
layer {
name: "relu4"
type: "ReLU"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv5"
type: "Convolution"
bottom: "conv4"
top: "conv5"
param { lr_mult: 0 decay_mult: 0 }
param { lr_mult: 0 decay_mult: 0 }
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 2
}
}
layer {
name: "relu5"
type: "ReLU"
bottom: "conv5"
top: "conv5"
}
layer {
name: "pool5"
type: "Pooling"
bottom: "conv5"
top: "pool5"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fc6"
type: "Convolution"
bottom: "pool5"
top: "fc6"
param { lr_mult: 0 decay_mult: 0 }
param { lr_mult: 0 decay_mult: 0 }
convolution_param {
kernel_size: 6
dilation: 2
pad: 5
stride: 1
num_output: 4096
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu6"
type: "ReLU"
bottom: "fc6"
top: "fc6"
}
layer {
name: "fc7"
type: "Convolution"
bottom: "fc6"
top: "fc7"
param { lr_mult: 0 decay_mult: 0 }
param { lr_mult: 0 decay_mult: 0 }
convolution_param {
kernel_size: 1
stride: 1
num_output: 4096
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu7"
type: "ReLU"
bottom: "fc7"
top: "fc7"
}