Created
February 16, 2017 02:00
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name: "DeepFace_set003_net" | |
input: "data" | |
input_dim: 1 | |
input_dim: 1 | |
input_dim: 128 | |
input_dim: 128 | |
layer{ | |
name: "conv1" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 96 | |
kernel_size: 5 | |
stride: 1 | |
pad: 2 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "data" | |
top: "conv1" | |
} | |
layer{ | |
name: "slice1" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv1" | |
top: "slice1_1" | |
top: "slice1_2" | |
} | |
layer{ | |
name: "etlwise1" | |
type: "Eltwise" | |
bottom: "slice1_1" | |
bottom: "slice1_2" | |
top: "eltwise1" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "pool1" | |
type: "Pooling" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
bottom: "eltwise1" | |
top: "pool1" | |
} | |
layer{ | |
name: "conv2a" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 96 | |
kernel_size: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "pool1" | |
top: "conv2a" | |
} | |
layer{ | |
name: "slice2a" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv2a" | |
top: "slice2a_1" | |
top: "slice2a_2" | |
} | |
layer{ | |
name: "etlwise2a" | |
type: "Eltwise" | |
bottom: "slice2a_1" | |
bottom: "slice2a_2" | |
top: "eltwise2a" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "conv2" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 192 | |
kernel_size: 3 | |
stride: 1 | |
pad: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "eltwise2a" | |
top: "conv2" | |
} | |
layer{ | |
name: "slice2" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv2" | |
top: "slice2_1" | |
top: "slice2_2" | |
} | |
layer{ | |
name: "etlwise2" | |
type: "Eltwise" | |
bottom: "slice2_1" | |
bottom: "slice2_2" | |
top: "eltwise2" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "pool2" | |
type: "Pooling" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
bottom: "eltwise2" | |
top: "pool2" | |
} | |
layer{ | |
name: "conv3a" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 192 | |
kernel_size: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "pool2" | |
top: "conv3a" | |
} | |
layer{ | |
name: "slice3a" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv3a" | |
top: "slice3a_1" | |
top: "slice3a_2" | |
} | |
layer{ | |
name: "etlwise3a" | |
type: "Eltwise" | |
bottom: "slice3a_1" | |
bottom: "slice3a_2" | |
top: "eltwise3a" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "conv3" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 384 | |
kernel_size: 3 | |
stride: 1 | |
pad: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "eltwise3a" | |
top: "conv3" | |
} | |
layer{ | |
name: "slice3" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv3" | |
top: "slice3_1" | |
top: "slice3_2" | |
} | |
layer{ | |
name: "etlwise3" | |
type: "Eltwise" | |
bottom: "slice3_1" | |
bottom: "slice3_2" | |
top: "eltwise3" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "pool3" | |
type: "Pooling" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
bottom: "eltwise3" | |
top: "pool3" | |
} | |
layer{ | |
name: "conv4a" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param{ | |
num_output: 384 | |
kernel_size: 1 | |
stride: 1 | |
weight_filler{ | |
type:"xavier" | |
} | |
bias_filler{ | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "pool3" | |
top: "conv4a" | |
} | |
layer{ | |
name: "slice4a" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv4a" | |
top: "slice4a_1" | |
top: "slice4a_2" | |
} | |
layer{ | |
name: "etlwise4a" | |
type: "Eltwise" | |
bottom: "slice4a_1" | |
bottom: "slice4a_2" | |
top: "eltwise4a" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "conv4" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param{ | |
num_output: 256 | |
kernel_size: 3 | |
stride: 1 | |
pad: 1 | |
weight_filler{ | |
type:"xavier" | |
} | |
bias_filler{ | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "eltwise4a" | |
top: "conv4" | |
} | |
layer{ | |
name: "slice4" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv4" | |
top: "slice4_1" | |
top: "slice4_2" | |
} | |
layer{ | |
name: "etlwise4" | |
type: "Eltwise" | |
bottom: "slice4_1" | |
bottom: "slice4_2" | |
top: "eltwise4" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "conv5a" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param{ | |
num_output: 256 | |
kernel_size: 1 | |
stride: 1 | |
weight_filler{ | |
type:"xavier" | |
} | |
bias_filler{ | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "eltwise4" | |
top: "conv5a" | |
} | |
layer{ | |
name: "slice5a" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv5a" | |
top: "slice5a_1" | |
top: "slice5a_2" | |
} | |
layer{ | |
name: "etlwise5a" | |
type: "Eltwise" | |
bottom: "slice5a_1" | |
bottom: "slice5a_2" | |
top: "eltwise5a" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "conv5" | |
type: "Convolution" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param{ | |
num_output: 256 | |
kernel_size: 3 | |
stride: 1 | |
pad: 1 | |
weight_filler{ | |
type:"xavier" | |
} | |
bias_filler{ | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "eltwise5a" | |
top: "conv5" | |
} | |
layer{ | |
name: "slice5" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "conv5" | |
top: "slice5_1" | |
top: "slice5_2" | |
} | |
layer{ | |
name: "etlwise5" | |
type: "Eltwise" | |
bottom: "slice5_1" | |
bottom: "slice5_2" | |
top: "eltwise5" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "pool4" | |
type: "Pooling" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
bottom: "eltwise5" | |
top: "pool4" | |
} | |
layer{ | |
name: "fc1" | |
type: "InnerProduct" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
inner_product_param { | |
num_output: 512 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "pool4" | |
top: "fc1" | |
} | |
layer{ | |
name: "slice_fc1" | |
type:"Slice" | |
slice_param { | |
slice_dim: 1 | |
} | |
bottom: "fc1" | |
top: "slice_fc1_1" | |
top: "slice_fc1_2" | |
} | |
layer{ | |
name: "etlwise_fc1" | |
type: "Eltwise" | |
bottom: "slice_fc1_1" | |
bottom: "slice_fc1_2" | |
top: "eltwise_fc1" | |
eltwise_param { | |
operation: MAX | |
} | |
} | |
layer{ | |
name: "drop1" | |
type: "Dropout" | |
dropout_param{ | |
dropout_ratio: 0.7 | |
} | |
bottom: "eltwise_fc1" | |
top: "eltwise_fc1" | |
} | |
layer{ | |
name: "fc2" | |
type: "InnerProduct" | |
inner_product_param{ | |
num_output: 99891 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.1 | |
} | |
} | |
bottom: "eltwise_fc1" | |
top: "fc2" | |
} | |
layer { | |
name: "softmax" | |
type: "Softmax" | |
bottom: "fc2" | |
top: "prob" | |
include: { phase: TEST } | |
} |
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