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deploy.prototxt
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1046 lines (1043 loc) · 14.8 KB
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input: "data"
input_shape {
dim: 1
dim: 6
dim: 224
dim: 224
}
layer {
name: "data_0"
type: "Slice"
bottom: "data"
top: "data_0"
top: "data_1"
slice_param {
slice_dim: 1
slice_point: 3
}
}
layer {
name: "conv1_1_0"
type: "Convolution"
bottom: "data_0"
top: "conv1_1_0"
param {
name: "conv1_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv1_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "relu1_1_0"
type: "ReLU"
bottom: "conv1_1_0"
top: "conv1_1_0"
}
layer {
name: "conv1_2_0"
type: "Convolution"
bottom: "conv1_1_0"
top: "conv1_2_0"
param {
name: "conv1_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv1_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "relu1_2_0"
type: "ReLU"
bottom: "conv1_2_0"
top: "conv1_2_0"
}
layer {
name: "pool1_0"
type: "Pooling"
bottom: "conv1_2_0"
top: "pool1_0"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2_1_0"
type: "Convolution"
bottom: "pool1_0"
top: "conv2_1_0"
param {
name: "conv2_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv2_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_1_0"
type: "ReLU"
bottom: "conv2_1_0"
top: "conv2_1_0"
}
layer {
name: "conv2_2_0"
type: "Convolution"
bottom: "conv2_1_0"
top: "conv2_2_0"
param {
name: "conv2_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv2_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_2_0"
type: "ReLU"
bottom: "conv2_2_0"
top: "conv2_2_0"
}
layer {
name: "pool2_0"
type: "Pooling"
bottom: "conv2_2_0"
top: "pool2_0"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3_1_0"
type: "Convolution"
bottom: "pool2_0"
top: "conv3_1_0"
param {
name: "conv3_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv3_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_1_0"
type: "ReLU"
bottom: "conv3_1_0"
top: "conv3_1_0"
}
layer {
name: "conv3_2_0"
type: "Convolution"
bottom: "conv3_1_0"
top: "conv3_2_0"
param {
name: "conv3_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv3_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_2_0"
type: "ReLU"
bottom: "conv3_2_0"
top: "conv3_2_0"
}
layer {
name: "conv3_3_0"
type: "Convolution"
bottom: "conv3_2_0"
top: "conv3_3_0"
param {
name: "conv3_3_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv3_3_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_3_0"
type: "ReLU"
bottom: "conv3_3_0"
top: "conv3_3_0"
}
layer {
name: "pool3_0"
type: "Pooling"
bottom: "conv3_3_0"
top: "pool3_0"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv4_1_0"
type: "Convolution"
bottom: "pool3_0"
top: "conv4_1_0"
param {
name: "conv4_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv4_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu4_1_0"
type: "ReLU"
bottom: "conv4_1_0"
top: "conv4_1_0"
}
layer {
name: "conv4_2_0"
type: "Convolution"
bottom: "conv4_1_0"
top: "conv4_2_0"
param {
name: "conv4_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv4_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu4_2_0"
type: "ReLU"
bottom: "conv4_2_0"
top: "conv4_2_0"
}
layer {
name: "conv4_3_0"
type: "Convolution"
bottom: "conv4_2_0"
top: "conv4_3_0"
param {
name: "conv4_3_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv4_3_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu4_3_0"
type: "ReLU"
bottom: "conv4_3_0"
top: "conv4_3_0"
}
layer {
name: "pool4_0"
type: "Pooling"
bottom: "conv4_3_0"
top: "pool4_0"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv5_1_0"
type: "Convolution"
bottom: "pool4_0"
top: "conv5_1_0"
param {
name: "conv5_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv5_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu5_1_0"
type: "ReLU"
bottom: "conv5_1_0"
top: "conv5_1_0"
}
layer {
name: "conv5_2_0"
type: "Convolution"
bottom: "conv5_1_0"
top: "conv5_2_0"
param {
name: "conv5_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv5_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu5_2_0"
type: "ReLU"
bottom: "conv5_2_0"
top: "conv5_2_0"
}
layer {
name: "conv5_3_0"
type: "Convolution"
bottom: "conv5_2_0"
top: "conv5_3_0"
param {
name: "conv5_3_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv5_3_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu5_3_0"
type: "ReLU"
bottom: "conv5_3_0"
top: "conv5_3_0"
}
layer {
name: "pool5_0"
type: "Pooling"
bottom: "conv5_3_0"
top: "pool5_0"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "fc6_0"
type: "InnerProduct"
bottom: "pool5_0"
top: "fc6_0"
param {
name: "fc6_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "fc6_bias"
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
}
}
layer {
name: "relu6_0"
type: "ReLU"
bottom: "fc6_0"
top: "fc6_0"
}
layer {
name: "fc7_0"
type: "InnerProduct"
bottom: "fc6_0"
top: "fc7_0"
param {
name: "fc7_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "fc7_bias"
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
}
}
layer {
name: "relu7_0"
type: "ReLU"
bottom: "fc7_0"
top: "fc7_0"
}
layer {
name: "conv1_1_1"
type: "Convolution"
bottom: "data_1"
top: "conv1_1_1"
param {
name: "conv1_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv1_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "relu1_1_1"
type: "ReLU"
bottom: "conv1_1_1"
top: "conv1_1_1"
}
layer {
name: "conv1_2_1"
type: "Convolution"
bottom: "conv1_1_1"
top: "conv1_2_1"
param {
name: "conv1_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv1_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "relu1_2_1"
type: "ReLU"
bottom: "conv1_2_1"
top: "conv1_2_1"
}
layer {
name: "pool1_1"
type: "Pooling"
bottom: "conv1_2_1"
top: "pool1_1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2_1_1"
type: "Convolution"
bottom: "pool1_1"
top: "conv2_1_1"
param {
name: "conv2_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv2_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_1_1"
type: "ReLU"
bottom: "conv2_1_1"
top: "conv2_1_1"
}
layer {
name: "conv2_2_1"
type: "Convolution"
bottom: "conv2_1_1"
top: "conv2_2_1"
param {
name: "conv2_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv2_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_2_1"
type: "ReLU"
bottom: "conv2_2_1"
top: "conv2_2_1"
}
layer {
name: "pool2_1"
type: "Pooling"
bottom: "conv2_2_1"
top: "pool2_1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3_1_1"
type: "Convolution"
bottom: "pool2_1"
top: "conv3_1_1"
param {
name: "conv3_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv3_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_1_1"
type: "ReLU"
bottom: "conv3_1_1"
top: "conv3_1_1"
}
layer {
name: "conv3_2_1"
type: "Convolution"
bottom: "conv3_1_1"
top: "conv3_2_1"
param {
name: "conv3_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv3_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_2_1"
type: "ReLU"
bottom: "conv3_2_1"
top: "conv3_2_1"
}
layer {
name: "conv3_3_1"
type: "Convolution"
bottom: "conv3_2_1"
top: "conv3_3_1"
param {
name: "conv3_3_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv3_3_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_3_1"
type: "ReLU"
bottom: "conv3_3_1"
top: "conv3_3_1"
}
layer {
name: "pool3_1"
type: "Pooling"
bottom: "conv3_3_1"
top: "pool3_1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv4_1_1"
type: "Convolution"
bottom: "pool3_1"
top: "conv4_1_1"
param {
name: "conv4_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv4_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu4_1_1"
type: "ReLU"
bottom: "conv4_1_1"
top: "conv4_1_1"
}
layer {
name: "conv4_2_1"
type: "Convolution"
bottom: "conv4_1_1"
top: "conv4_2_1"
param {
name: "conv4_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv4_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu4_2_1"
type: "ReLU"
bottom: "conv4_2_1"
top: "conv4_2_1"
}
layer {
name: "conv4_3_1"
type: "Convolution"
bottom: "conv4_2_1"
top: "conv4_3_1"
param {
name: "conv4_3_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv4_3_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu4_3_1"
type: "ReLU"
bottom: "conv4_3_1"
top: "conv4_3_1"
}
layer {
name: "pool4_1"
type: "Pooling"
bottom: "conv4_3_1"
top: "pool4_1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv5_1_1"
type: "Convolution"
bottom: "pool4_1"
top: "conv5_1_1"
param {
name: "conv5_1_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv5_1_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu5_1_1"
type: "ReLU"
bottom: "conv5_1_1"
top: "conv5_1_1"
}
layer {
name: "conv5_2_1"
type: "Convolution"
bottom: "conv5_1_1"
top: "conv5_2_1"
param {
name: "conv5_2_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv5_2_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu5_2_1"
type: "ReLU"
bottom: "conv5_2_1"
top: "conv5_2_1"
}
layer {
name: "conv5_3_1"
type: "Convolution"
bottom: "conv5_2_1"
top: "conv5_3_1"
param {
name: "conv5_3_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "conv5_3_bias"
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
}
}
layer {
name: "relu5_3_1"
type: "ReLU"
bottom: "conv5_3_1"
top: "conv5_3_1"
}
layer {
name: "pool5_1"
type: "Pooling"
bottom: "conv5_3_1"
top: "pool5_1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "fc6_1"
type: "InnerProduct"
bottom: "pool5_1"
top: "fc6_1"
param {
name: "fc6_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "fc6_bias"
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
}
}
layer {
name: "relu6_1"
type: "ReLU"
bottom: "fc6_1"
top: "fc6_1"
}
layer {
name: "fc7_1"
type: "InnerProduct"
bottom: "fc6_1"
top: "fc7_1"
param {
name: "fc7_weight"
lr_mult: 1
decay_mult: 1
}
param {
name: "fc7_bias"
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
}
}
layer {
name: "relu7_1"
type: "ReLU"
bottom: "fc7_1"
top: "fc7_1"
}
layer {
name: "diff"
type: "Eltwise"
bottom: "fc7_0"
bottom: "fc7_1"
top: "diff"
eltwise_param {
coeff: 1
coeff: -1
}
}
layer {
name: "final0"
type: "InnerProduct"
bottom: "diff"
top: "final0"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 128
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "final0_sig"
type: "TanH"
bottom: "final0"
top: "final0"
}
layer {
name: "final0_drop"
type: "Dropout"
bottom: "final0"
top: "final0"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "final1"
type: "InnerProduct"
bottom: "final0"
top: "final1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 128
weight_filler {
type: "gaussian"