mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
2156 lines
35 KiB
2156 lines
35 KiB
name: "GoogleNet" |
|
input: "data" |
|
input_dim: 10 |
|
input_dim: 3 |
|
input_dim: 224 |
|
input_dim: 224 |
|
layer { |
|
name: "conv1/7x7_s2" |
|
type: "Convolution" |
|
bottom: "data" |
|
top: "conv1/7x7_s2" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
pad: 3 |
|
kernel_size: 7 |
|
stride: 2 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "conv1/relu_7x7" |
|
type: "ReLU" |
|
bottom: "conv1/7x7_s2" |
|
top: "conv1/7x7_s2" |
|
} |
|
layer { |
|
name: "pool1/3x3_s2" |
|
type: "Pooling" |
|
bottom: "conv1/7x7_s2" |
|
top: "pool1/3x3_s2" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 2 |
|
} |
|
} |
|
layer { |
|
name: "pool1/norm1" |
|
type: "LRN" |
|
bottom: "pool1/3x3_s2" |
|
top: "pool1/norm1" |
|
lrn_param { |
|
local_size: 5 |
|
alpha: 0.0001 |
|
beta: 0.75 |
|
} |
|
} |
|
layer { |
|
name: "conv2/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "pool1/norm1" |
|
top: "conv2/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "conv2/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "conv2/3x3_reduce" |
|
top: "conv2/3x3_reduce" |
|
} |
|
layer { |
|
name: "conv2/3x3" |
|
type: "Convolution" |
|
bottom: "conv2/3x3_reduce" |
|
top: "conv2/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 192 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "conv2/relu_3x3" |
|
type: "ReLU" |
|
bottom: "conv2/3x3" |
|
top: "conv2/3x3" |
|
} |
|
layer { |
|
name: "conv2/norm2" |
|
type: "LRN" |
|
bottom: "conv2/3x3" |
|
top: "conv2/norm2" |
|
lrn_param { |
|
local_size: 5 |
|
alpha: 0.0001 |
|
beta: 0.75 |
|
} |
|
} |
|
layer { |
|
name: "pool2/3x3_s2" |
|
type: "Pooling" |
|
bottom: "conv2/norm2" |
|
top: "pool2/3x3_s2" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 2 |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/1x1" |
|
type: "Convolution" |
|
bottom: "pool2/3x3_s2" |
|
top: "inception_3a/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_3a/1x1" |
|
top: "inception_3a/1x1" |
|
} |
|
layer { |
|
name: "inception_3a/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "pool2/3x3_s2" |
|
top: "inception_3a/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 96 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_3a/3x3_reduce" |
|
top: "inception_3a/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_3a/3x3" |
|
type: "Convolution" |
|
bottom: "inception_3a/3x3_reduce" |
|
top: "inception_3a/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_3a/3x3" |
|
top: "inception_3a/3x3" |
|
} |
|
layer { |
|
name: "inception_3a/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "pool2/3x3_s2" |
|
top: "inception_3a/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 16 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_3a/5x5_reduce" |
|
top: "inception_3a/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_3a/5x5" |
|
type: "Convolution" |
|
bottom: "inception_3a/5x5_reduce" |
|
top: "inception_3a/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 32 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_3a/5x5" |
|
top: "inception_3a/5x5" |
|
} |
|
layer { |
|
name: "inception_3a/pool" |
|
type: "Pooling" |
|
bottom: "pool2/3x3_s2" |
|
top: "inception_3a/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_3a/pool" |
|
top: "inception_3a/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 32 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3a/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_3a/pool_proj" |
|
top: "inception_3a/pool_proj" |
|
} |
|
layer { |
|
name: "inception_3a/output" |
|
type: "Concat" |
|
bottom: "inception_3a/1x1" |
|
bottom: "inception_3a/3x3" |
|
bottom: "inception_3a/5x5" |
|
bottom: "inception_3a/pool_proj" |
|
top: "inception_3a/output" |
|
} |
|
layer { |
|
name: "inception_3b/1x1" |
|
type: "Convolution" |
|
bottom: "inception_3a/output" |
|
top: "inception_3b/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_3b/1x1" |
|
top: "inception_3b/1x1" |
|
} |
|
layer { |
|
name: "inception_3b/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "inception_3a/output" |
|
top: "inception_3b/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_3b/3x3_reduce" |
|
top: "inception_3b/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_3b/3x3" |
|
type: "Convolution" |
|
bottom: "inception_3b/3x3_reduce" |
|
top: "inception_3b/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 192 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_3b/3x3" |
|
top: "inception_3b/3x3" |
|
} |
|
layer { |
|
name: "inception_3b/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "inception_3a/output" |
|
top: "inception_3b/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 32 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_3b/5x5_reduce" |
|
top: "inception_3b/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_3b/5x5" |
|
type: "Convolution" |
|
bottom: "inception_3b/5x5_reduce" |
|
top: "inception_3b/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 96 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_3b/5x5" |
|
top: "inception_3b/5x5" |
|
} |
|
layer { |
|
name: "inception_3b/pool" |
|
type: "Pooling" |
|
bottom: "inception_3a/output" |
|
top: "inception_3b/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_3b/pool" |
|
top: "inception_3b/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_3b/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_3b/pool_proj" |
|
top: "inception_3b/pool_proj" |
|
} |
|
layer { |
|
name: "inception_3b/output" |
|
type: "Concat" |
|
bottom: "inception_3b/1x1" |
|
bottom: "inception_3b/3x3" |
|
bottom: "inception_3b/5x5" |
|
bottom: "inception_3b/pool_proj" |
|
top: "inception_3b/output" |
|
} |
|
layer { |
|
name: "pool3/3x3_s2" |
|
type: "Pooling" |
|
bottom: "inception_3b/output" |
|
top: "pool3/3x3_s2" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 2 |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/1x1" |
|
type: "Convolution" |
|
bottom: "pool3/3x3_s2" |
|
top: "inception_4a/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 192 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_4a/1x1" |
|
top: "inception_4a/1x1" |
|
} |
|
layer { |
|
name: "inception_4a/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "pool3/3x3_s2" |
|
top: "inception_4a/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 96 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4a/3x3_reduce" |
|
top: "inception_4a/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_4a/3x3" |
|
type: "Convolution" |
|
bottom: "inception_4a/3x3_reduce" |
|
top: "inception_4a/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 208 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_4a/3x3" |
|
top: "inception_4a/3x3" |
|
} |
|
layer { |
|
name: "inception_4a/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "pool3/3x3_s2" |
|
top: "inception_4a/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 16 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4a/5x5_reduce" |
|
top: "inception_4a/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_4a/5x5" |
|
type: "Convolution" |
|
bottom: "inception_4a/5x5_reduce" |
|
top: "inception_4a/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 48 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_4a/5x5" |
|
top: "inception_4a/5x5" |
|
} |
|
layer { |
|
name: "inception_4a/pool" |
|
type: "Pooling" |
|
bottom: "pool3/3x3_s2" |
|
top: "inception_4a/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_4a/pool" |
|
top: "inception_4a/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4a/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_4a/pool_proj" |
|
top: "inception_4a/pool_proj" |
|
} |
|
layer { |
|
name: "inception_4a/output" |
|
type: "Concat" |
|
bottom: "inception_4a/1x1" |
|
bottom: "inception_4a/3x3" |
|
bottom: "inception_4a/5x5" |
|
bottom: "inception_4a/pool_proj" |
|
top: "inception_4a/output" |
|
} |
|
layer { |
|
name: "inception_4b/1x1" |
|
type: "Convolution" |
|
bottom: "inception_4a/output" |
|
top: "inception_4b/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 160 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_4b/1x1" |
|
top: "inception_4b/1x1" |
|
} |
|
layer { |
|
name: "inception_4b/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4a/output" |
|
top: "inception_4b/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 112 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4b/3x3_reduce" |
|
top: "inception_4b/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_4b/3x3" |
|
type: "Convolution" |
|
bottom: "inception_4b/3x3_reduce" |
|
top: "inception_4b/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 224 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_4b/3x3" |
|
top: "inception_4b/3x3" |
|
} |
|
layer { |
|
name: "inception_4b/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4a/output" |
|
top: "inception_4b/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 24 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4b/5x5_reduce" |
|
top: "inception_4b/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_4b/5x5" |
|
type: "Convolution" |
|
bottom: "inception_4b/5x5_reduce" |
|
top: "inception_4b/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_4b/5x5" |
|
top: "inception_4b/5x5" |
|
} |
|
layer { |
|
name: "inception_4b/pool" |
|
type: "Pooling" |
|
bottom: "inception_4a/output" |
|
top: "inception_4b/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_4b/pool" |
|
top: "inception_4b/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4b/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_4b/pool_proj" |
|
top: "inception_4b/pool_proj" |
|
} |
|
layer { |
|
name: "inception_4b/output" |
|
type: "Concat" |
|
bottom: "inception_4b/1x1" |
|
bottom: "inception_4b/3x3" |
|
bottom: "inception_4b/5x5" |
|
bottom: "inception_4b/pool_proj" |
|
top: "inception_4b/output" |
|
} |
|
layer { |
|
name: "inception_4c/1x1" |
|
type: "Convolution" |
|
bottom: "inception_4b/output" |
|
top: "inception_4c/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_4c/1x1" |
|
top: "inception_4c/1x1" |
|
} |
|
layer { |
|
name: "inception_4c/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4b/output" |
|
top: "inception_4c/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4c/3x3_reduce" |
|
top: "inception_4c/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_4c/3x3" |
|
type: "Convolution" |
|
bottom: "inception_4c/3x3_reduce" |
|
top: "inception_4c/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 256 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_4c/3x3" |
|
top: "inception_4c/3x3" |
|
} |
|
layer { |
|
name: "inception_4c/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4b/output" |
|
top: "inception_4c/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 24 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4c/5x5_reduce" |
|
top: "inception_4c/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_4c/5x5" |
|
type: "Convolution" |
|
bottom: "inception_4c/5x5_reduce" |
|
top: "inception_4c/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_4c/5x5" |
|
top: "inception_4c/5x5" |
|
} |
|
layer { |
|
name: "inception_4c/pool" |
|
type: "Pooling" |
|
bottom: "inception_4b/output" |
|
top: "inception_4c/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_4c/pool" |
|
top: "inception_4c/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4c/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_4c/pool_proj" |
|
top: "inception_4c/pool_proj" |
|
} |
|
layer { |
|
name: "inception_4c/output" |
|
type: "Concat" |
|
bottom: "inception_4c/1x1" |
|
bottom: "inception_4c/3x3" |
|
bottom: "inception_4c/5x5" |
|
bottom: "inception_4c/pool_proj" |
|
top: "inception_4c/output" |
|
} |
|
layer { |
|
name: "inception_4d/1x1" |
|
type: "Convolution" |
|
bottom: "inception_4c/output" |
|
top: "inception_4d/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 112 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_4d/1x1" |
|
top: "inception_4d/1x1" |
|
} |
|
layer { |
|
name: "inception_4d/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4c/output" |
|
top: "inception_4d/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 144 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4d/3x3_reduce" |
|
top: "inception_4d/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_4d/3x3" |
|
type: "Convolution" |
|
bottom: "inception_4d/3x3_reduce" |
|
top: "inception_4d/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 288 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_4d/3x3" |
|
top: "inception_4d/3x3" |
|
} |
|
layer { |
|
name: "inception_4d/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4c/output" |
|
top: "inception_4d/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 32 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4d/5x5_reduce" |
|
top: "inception_4d/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_4d/5x5" |
|
type: "Convolution" |
|
bottom: "inception_4d/5x5_reduce" |
|
top: "inception_4d/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_4d/5x5" |
|
top: "inception_4d/5x5" |
|
} |
|
layer { |
|
name: "inception_4d/pool" |
|
type: "Pooling" |
|
bottom: "inception_4c/output" |
|
top: "inception_4d/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_4d/pool" |
|
top: "inception_4d/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 64 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4d/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_4d/pool_proj" |
|
top: "inception_4d/pool_proj" |
|
} |
|
layer { |
|
name: "inception_4d/output" |
|
type: "Concat" |
|
bottom: "inception_4d/1x1" |
|
bottom: "inception_4d/3x3" |
|
bottom: "inception_4d/5x5" |
|
bottom: "inception_4d/pool_proj" |
|
top: "inception_4d/output" |
|
} |
|
layer { |
|
name: "inception_4e/1x1" |
|
type: "Convolution" |
|
bottom: "inception_4d/output" |
|
top: "inception_4e/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 256 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_4e/1x1" |
|
top: "inception_4e/1x1" |
|
} |
|
layer { |
|
name: "inception_4e/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4d/output" |
|
top: "inception_4e/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 160 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4e/3x3_reduce" |
|
top: "inception_4e/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_4e/3x3" |
|
type: "Convolution" |
|
bottom: "inception_4e/3x3_reduce" |
|
top: "inception_4e/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 320 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_4e/3x3" |
|
top: "inception_4e/3x3" |
|
} |
|
layer { |
|
name: "inception_4e/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "inception_4d/output" |
|
top: "inception_4e/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 32 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_4e/5x5_reduce" |
|
top: "inception_4e/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_4e/5x5" |
|
type: "Convolution" |
|
bottom: "inception_4e/5x5_reduce" |
|
top: "inception_4e/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_4e/5x5" |
|
top: "inception_4e/5x5" |
|
} |
|
layer { |
|
name: "inception_4e/pool" |
|
type: "Pooling" |
|
bottom: "inception_4d/output" |
|
top: "inception_4e/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_4e/pool" |
|
top: "inception_4e/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_4e/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_4e/pool_proj" |
|
top: "inception_4e/pool_proj" |
|
} |
|
layer { |
|
name: "inception_4e/output" |
|
type: "Concat" |
|
bottom: "inception_4e/1x1" |
|
bottom: "inception_4e/3x3" |
|
bottom: "inception_4e/5x5" |
|
bottom: "inception_4e/pool_proj" |
|
top: "inception_4e/output" |
|
} |
|
layer { |
|
name: "pool4/3x3_s2" |
|
type: "Pooling" |
|
bottom: "inception_4e/output" |
|
top: "pool4/3x3_s2" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 2 |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/1x1" |
|
type: "Convolution" |
|
bottom: "pool4/3x3_s2" |
|
top: "inception_5a/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 256 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_5a/1x1" |
|
top: "inception_5a/1x1" |
|
} |
|
layer { |
|
name: "inception_5a/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "pool4/3x3_s2" |
|
top: "inception_5a/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 160 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_5a/3x3_reduce" |
|
top: "inception_5a/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_5a/3x3" |
|
type: "Convolution" |
|
bottom: "inception_5a/3x3_reduce" |
|
top: "inception_5a/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 320 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_5a/3x3" |
|
top: "inception_5a/3x3" |
|
} |
|
layer { |
|
name: "inception_5a/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "pool4/3x3_s2" |
|
top: "inception_5a/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 32 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_5a/5x5_reduce" |
|
top: "inception_5a/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_5a/5x5" |
|
type: "Convolution" |
|
bottom: "inception_5a/5x5_reduce" |
|
top: "inception_5a/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_5a/5x5" |
|
top: "inception_5a/5x5" |
|
} |
|
layer { |
|
name: "inception_5a/pool" |
|
type: "Pooling" |
|
bottom: "pool4/3x3_s2" |
|
top: "inception_5a/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_5a/pool" |
|
top: "inception_5a/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5a/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_5a/pool_proj" |
|
top: "inception_5a/pool_proj" |
|
} |
|
layer { |
|
name: "inception_5a/output" |
|
type: "Concat" |
|
bottom: "inception_5a/1x1" |
|
bottom: "inception_5a/3x3" |
|
bottom: "inception_5a/5x5" |
|
bottom: "inception_5a/pool_proj" |
|
top: "inception_5a/output" |
|
} |
|
layer { |
|
name: "inception_5b/1x1" |
|
type: "Convolution" |
|
bottom: "inception_5a/output" |
|
top: "inception_5b/1x1" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 384 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/relu_1x1" |
|
type: "ReLU" |
|
bottom: "inception_5b/1x1" |
|
top: "inception_5b/1x1" |
|
} |
|
layer { |
|
name: "inception_5b/3x3_reduce" |
|
type: "Convolution" |
|
bottom: "inception_5a/output" |
|
top: "inception_5b/3x3_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 192 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.09 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/relu_3x3_reduce" |
|
type: "ReLU" |
|
bottom: "inception_5b/3x3_reduce" |
|
top: "inception_5b/3x3_reduce" |
|
} |
|
layer { |
|
name: "inception_5b/3x3" |
|
type: "Convolution" |
|
bottom: "inception_5b/3x3_reduce" |
|
top: "inception_5b/3x3" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 384 |
|
pad: 1 |
|
kernel_size: 3 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/relu_3x3" |
|
type: "ReLU" |
|
bottom: "inception_5b/3x3" |
|
top: "inception_5b/3x3" |
|
} |
|
layer { |
|
name: "inception_5b/5x5_reduce" |
|
type: "Convolution" |
|
bottom: "inception_5a/output" |
|
top: "inception_5b/5x5_reduce" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 48 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.2 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/relu_5x5_reduce" |
|
type: "ReLU" |
|
bottom: "inception_5b/5x5_reduce" |
|
top: "inception_5b/5x5_reduce" |
|
} |
|
layer { |
|
name: "inception_5b/5x5" |
|
type: "Convolution" |
|
bottom: "inception_5b/5x5_reduce" |
|
top: "inception_5b/5x5" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
pad: 2 |
|
kernel_size: 5 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.03 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/relu_5x5" |
|
type: "ReLU" |
|
bottom: "inception_5b/5x5" |
|
top: "inception_5b/5x5" |
|
} |
|
layer { |
|
name: "inception_5b/pool" |
|
type: "Pooling" |
|
bottom: "inception_5a/output" |
|
top: "inception_5b/pool" |
|
pooling_param { |
|
pool: MAX |
|
kernel_size: 3 |
|
stride: 1 |
|
pad: 1 |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/pool_proj" |
|
type: "Convolution" |
|
bottom: "inception_5b/pool" |
|
top: "inception_5b/pool_proj" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
convolution_param { |
|
num_output: 128 |
|
kernel_size: 1 |
|
weight_filler { |
|
type: "xavier" |
|
std: 0.1 |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0.2 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "inception_5b/relu_pool_proj" |
|
type: "ReLU" |
|
bottom: "inception_5b/pool_proj" |
|
top: "inception_5b/pool_proj" |
|
} |
|
layer { |
|
name: "inception_5b/output" |
|
type: "Concat" |
|
bottom: "inception_5b/1x1" |
|
bottom: "inception_5b/3x3" |
|
bottom: "inception_5b/5x5" |
|
bottom: "inception_5b/pool_proj" |
|
top: "inception_5b/output" |
|
} |
|
layer { |
|
name: "pool5/7x7_s1" |
|
type: "Pooling" |
|
bottom: "inception_5b/output" |
|
top: "pool5/7x7_s1" |
|
pooling_param { |
|
pool: AVE |
|
kernel_size: 7 |
|
stride: 1 |
|
} |
|
} |
|
layer { |
|
name: "pool5/drop_7x7_s1" |
|
type: "Dropout" |
|
bottom: "pool5/7x7_s1" |
|
top: "pool5/7x7_s1" |
|
dropout_param { |
|
dropout_ratio: 0.4 |
|
} |
|
} |
|
layer { |
|
name: "loss3/classifier" |
|
type: "InnerProduct" |
|
bottom: "pool5/7x7_s1" |
|
top: "loss3/classifier" |
|
param { |
|
lr_mult: 1 |
|
decay_mult: 1 |
|
} |
|
param { |
|
lr_mult: 2 |
|
decay_mult: 0 |
|
} |
|
inner_product_param { |
|
num_output: 1000 |
|
weight_filler { |
|
type: "xavier" |
|
} |
|
bias_filler { |
|
type: "constant" |
|
value: 0 |
|
} |
|
} |
|
} |
|
layer { |
|
name: "prob" |
|
type: "Softmax" |
|
bottom: "loss3/classifier" |
|
top: "prob" |
|
}
|
|
|