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September 4, 2018 02:44
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[attribute net]
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name: "ResNet-50" | |
layer { | |
name: "data" | |
type: "Python" | |
top: "data" | |
python_param{ | |
module: "python_data_layer" | |
layer: "AdaptAttributeLayer" | |
} | |
include { | |
phase: TRAIN | |
} | |
} | |
layer { | |
name: "data" | |
type: "Python" | |
top: "data" | |
python_param{ | |
module: "python_data_layer" | |
layer: "AdaptAttributeLayer" | |
} | |
include { | |
phase: TEST | |
} | |
} | |
layer { | |
bottom: "data" | |
top: "conv1" | |
name: "conv1" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 7 | |
pad: 3 | |
stride: 2 | |
} | |
} | |
layer { | |
bottom: "conv1" | |
top: "conv1" | |
name: "bn_conv1" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "conv1" | |
top: "conv1" | |
name: "scale_conv1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv1" | |
top: "conv1" | |
name: "conv1_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv1" | |
top: "pool1" | |
name: "pool1" | |
type: "Pooling" | |
pooling_param { | |
kernel_size: 3 | |
stride: 2 | |
pool: MAX | |
} | |
} | |
layer { | |
bottom: "pool1" | |
top: "res2a_branch1" | |
name: "res2a_branch1" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch1" | |
top: "res2a_branch1" | |
name: "bn2a_branch1" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch1" | |
top: "res2a_branch1" | |
name: "scale2a_branch1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "pool1" | |
top: "res2a_branch2a" | |
name: "res2a_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a" | |
top: "res2a_branch2a" | |
name: "bn2a_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a" | |
top: "res2a_branch2a" | |
name: "scale2a_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a" | |
top: "res2a_branch2a" | |
name: "res2a_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2a_branch2a" | |
top: "res2a_branch2b" | |
name: "res2a_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b" | |
top: "res2a_branch2b" | |
name: "bn2a_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b" | |
top: "res2a_branch2b" | |
name: "scale2a_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b" | |
top: "res2a_branch2b" | |
name: "res2a_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2a_branch2b" | |
top: "res2a_branch2c" | |
name: "res2a_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch2c" | |
top: "res2a_branch2c" | |
name: "bn2a_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2c" | |
top: "res2a_branch2c" | |
name: "scale2a_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch1" | |
bottom: "res2a_branch2c" | |
top: "res2a" | |
name: "res2a" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res2a" | |
top: "res2a" | |
name: "res2a_relu" | |
type: "ReLU" | |
# propagate_down : 0 | |
} | |
layer { | |
bottom: "res2a" | |
top: "res2b_branch2a" | |
name: "res2b_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a" | |
top: "res2b_branch2a" | |
name: "bn2b_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a" | |
top: "res2b_branch2a" | |
name: "scale2b_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a" | |
top: "res2b_branch2a" | |
name: "res2b_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2b_branch2a" | |
top: "res2b_branch2b" | |
name: "res2b_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b" | |
top: "res2b_branch2b" | |
name: "bn2b_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b" | |
top: "res2b_branch2b" | |
name: "scale2b_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b" | |
top: "res2b_branch2b" | |
name: "res2b_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2b_branch2b" | |
top: "res2b_branch2c" | |
name: "res2b_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2b_branch2c" | |
top: "res2b_branch2c" | |
name: "bn2b_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2c" | |
top: "res2b_branch2c" | |
name: "scale2b_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a" | |
bottom: "res2b_branch2c" | |
top: "res2b" | |
name: "res2b" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res2b" | |
top: "res2b" | |
name: "res2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2b" | |
top: "res2c_branch2a" | |
name: "res2c_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a" | |
top: "res2c_branch2a" | |
name: "bn2c_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a" | |
top: "res2c_branch2a" | |
name: "scale2c_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a" | |
top: "res2c_branch2a" | |
name: "res2c_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2c_branch2a" | |
top: "res2c_branch2b" | |
name: "res2c_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b" | |
top: "res2c_branch2b" | |
name: "bn2c_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b" | |
top: "res2c_branch2b" | |
name: "scale2c_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b" | |
top: "res2c_branch2b" | |
name: "res2c_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2c_branch2b" | |
top: "res2c_branch2c" | |
name: "res2c_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2c_branch2c" | |
top: "res2c_branch2c" | |
name: "bn2c_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2c" | |
top: "res2c_branch2c" | |
name: "scale2c_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2b" | |
bottom: "res2c_branch2c" | |
top: "res2c" | |
name: "res2c" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res2c" | |
top: "res2c" | |
name: "res2c_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2c" | |
top: "res3a_branch1" | |
name: "res3a_branch1" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch1" | |
top: "res3a_branch1" | |
name: "bn3a_branch1" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch1" | |
top: "res3a_branch1" | |
name: "scale3a_branch1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c" | |
top: "res3a_branch2a" | |
name: "res3a_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a" | |
top: "res3a_branch2a" | |
name: "bn3a_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a" | |
top: "res3a_branch2a" | |
name: "scale3a_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a" | |
top: "res3a_branch2a" | |
name: "res3a_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3a_branch2a" | |
top: "res3a_branch2b" | |
name: "res3a_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b" | |
top: "res3a_branch2b" | |
name: "bn3a_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b" | |
top: "res3a_branch2b" | |
name: "scale3a_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b" | |
top: "res3a_branch2b" | |
name: "res3a_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3a_branch2b" | |
top: "res3a_branch2c" | |
name: "res3a_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch2c" | |
top: "res3a_branch2c" | |
name: "bn3a_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2c" | |
top: "res3a_branch2c" | |
name: "scale3a_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch1" | |
bottom: "res3a_branch2c" | |
top: "res3a" | |
name: "res3a" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3a" | |
top: "res3a" | |
name: "res3a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3a" | |
top: "res3b_branch2a" | |
name: "res3b_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a" | |
top: "res3b_branch2a" | |
name: "bn3b_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a" | |
top: "res3b_branch2a" | |
name: "scale3b_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a" | |
top: "res3b_branch2a" | |
name: "res3b_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3b_branch2a" | |
top: "res3b_branch2b" | |
name: "res3b_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b" | |
top: "res3b_branch2b" | |
name: "bn3b_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b" | |
top: "res3b_branch2b" | |
name: "scale3b_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b" | |
top: "res3b_branch2b" | |
name: "res3b_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3b_branch2b" | |
top: "res3b_branch2c" | |
name: "res3b_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3b_branch2c" | |
top: "res3b_branch2c" | |
name: "bn3b_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2c" | |
top: "res3b_branch2c" | |
name: "scale3b_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a" | |
bottom: "res3b_branch2c" | |
top: "res3b" | |
name: "res3b" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3b" | |
top: "res3b" | |
name: "res3b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3b" | |
top: "res3c_branch2a" | |
name: "res3c_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a" | |
top: "res3c_branch2a" | |
name: "bn3c_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a" | |
top: "res3c_branch2a" | |
name: "scale3c_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a" | |
top: "res3c_branch2a" | |
name: "res3c_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3c_branch2a" | |
top: "res3c_branch2b" | |
name: "res3c_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b" | |
top: "res3c_branch2b" | |
name: "bn3c_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b" | |
top: "res3c_branch2b" | |
name: "scale3c_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b" | |
top: "res3c_branch2b" | |
name: "res3c_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3c_branch2b" | |
top: "res3c_branch2c" | |
name: "res3c_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3c_branch2c" | |
top: "res3c_branch2c" | |
name: "bn3c_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2c" | |
top: "res3c_branch2c" | |
name: "scale3c_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3b" | |
bottom: "res3c_branch2c" | |
top: "res3c" | |
name: "res3c" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3c" | |
top: "res3c" | |
name: "res3c_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3c" | |
top: "res3d_branch2a" | |
name: "res3d_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a" | |
top: "res3d_branch2a" | |
name: "bn3d_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a" | |
top: "res3d_branch2a" | |
name: "scale3d_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a" | |
top: "res3d_branch2a" | |
name: "res3d_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3d_branch2a" | |
top: "res3d_branch2b" | |
name: "res3d_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b" | |
top: "res3d_branch2b" | |
name: "bn3d_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b" | |
top: "res3d_branch2b" | |
name: "scale3d_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b" | |
top: "res3d_branch2b" | |
name: "res3d_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3d_branch2b" | |
top: "res3d_branch2c" | |
name: "res3d_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3d_branch2c" | |
top: "res3d_branch2c" | |
name: "bn3d_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2c" | |
top: "res3d_branch2c" | |
name: "scale3d_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3c" | |
bottom: "res3d_branch2c" | |
top: "res3d" | |
name: "res3d" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3d" | |
top: "res3d" | |
name: "res3d_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3d" | |
top: "res4a_branch1" | |
name: "res4a_branch1" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch1" | |
top: "res4a_branch1" | |
name: "bn4a_branch1" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch1" | |
top: "res4a_branch1" | |
name: "scale4a_branch1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d" | |
top: "res4a_branch2a" | |
name: "res4a_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a" | |
top: "res4a_branch2a" | |
name: "bn4a_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a" | |
top: "res4a_branch2a" | |
name: "scale4a_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a" | |
top: "res4a_branch2a" | |
name: "res4a_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4a_branch2a" | |
top: "res4a_branch2b" | |
name: "res4a_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b" | |
top: "res4a_branch2b" | |
name: "bn4a_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b" | |
top: "res4a_branch2b" | |
name: "scale4a_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b" | |
top: "res4a_branch2b" | |
name: "res4a_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4a_branch2b" | |
top: "res4a_branch2c" | |
name: "res4a_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch2c" | |
top: "res4a_branch2c" | |
name: "bn4a_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2c" | |
top: "res4a_branch2c" | |
name: "scale4a_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch1" | |
bottom: "res4a_branch2c" | |
top: "res4a" | |
name: "res4a" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4a" | |
top: "res4a" | |
name: "res4a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4a" | |
top: "res4b_branch2a" | |
name: "res4b_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a" | |
top: "res4b_branch2a" | |
name: "bn4b_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a" | |
top: "res4b_branch2a" | |
name: "scale4b_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a" | |
top: "res4b_branch2a" | |
name: "res4b_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4b_branch2a" | |
top: "res4b_branch2b" | |
name: "res4b_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b" | |
top: "res4b_branch2b" | |
name: "bn4b_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b" | |
top: "res4b_branch2b" | |
name: "scale4b_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b" | |
top: "res4b_branch2b" | |
name: "res4b_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4b_branch2b" | |
top: "res4b_branch2c" | |
name: "res4b_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4b_branch2c" | |
top: "res4b_branch2c" | |
name: "bn4b_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2c" | |
top: "res4b_branch2c" | |
name: "scale4b_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a" | |
bottom: "res4b_branch2c" | |
top: "res4b" | |
name: "res4b" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4b" | |
top: "res4b" | |
name: "res4b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4b" | |
top: "res4c_branch2a" | |
name: "res4c_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a" | |
top: "res4c_branch2a" | |
name: "bn4c_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a" | |
top: "res4c_branch2a" | |
name: "scale4c_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a" | |
top: "res4c_branch2a" | |
name: "res4c_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4c_branch2a" | |
top: "res4c_branch2b" | |
name: "res4c_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b" | |
top: "res4c_branch2b" | |
name: "bn4c_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b" | |
top: "res4c_branch2b" | |
name: "scale4c_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b" | |
top: "res4c_branch2b" | |
name: "res4c_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4c_branch2b" | |
top: "res4c_branch2c" | |
name: "res4c_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4c_branch2c" | |
top: "res4c_branch2c" | |
name: "bn4c_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2c" | |
top: "res4c_branch2c" | |
name: "scale4c_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4b" | |
bottom: "res4c_branch2c" | |
top: "res4c" | |
name: "res4c" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4c" | |
top: "res4c" | |
name: "res4c_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4c" | |
top: "res4d_branch2a" | |
name: "res4d_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a" | |
top: "res4d_branch2a" | |
name: "bn4d_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a" | |
top: "res4d_branch2a" | |
name: "scale4d_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a" | |
top: "res4d_branch2a" | |
name: "res4d_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4d_branch2a" | |
top: "res4d_branch2b" | |
name: "res4d_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b" | |
top: "res4d_branch2b" | |
name: "bn4d_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b" | |
top: "res4d_branch2b" | |
name: "scale4d_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b" | |
top: "res4d_branch2b" | |
name: "res4d_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4d_branch2b" | |
top: "res4d_branch2c" | |
name: "res4d_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4d_branch2c" | |
top: "res4d_branch2c" | |
name: "bn4d_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2c" | |
top: "res4d_branch2c" | |
name: "scale4d_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4c" | |
bottom: "res4d_branch2c" | |
top: "res4d" | |
name: "res4d" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4d" | |
top: "res4d" | |
name: "res4d_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4d" | |
top: "res4e_branch2a" | |
name: "res4e_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a" | |
top: "res4e_branch2a" | |
name: "bn4e_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a" | |
top: "res4e_branch2a" | |
name: "scale4e_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a" | |
top: "res4e_branch2a" | |
name: "res4e_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4e_branch2a" | |
top: "res4e_branch2b" | |
name: "res4e_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b" | |
top: "res4e_branch2b" | |
name: "bn4e_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b" | |
top: "res4e_branch2b" | |
name: "scale4e_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b" | |
top: "res4e_branch2b" | |
name: "res4e_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4e_branch2b" | |
top: "res4e_branch2c" | |
name: "res4e_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4e_branch2c" | |
top: "res4e_branch2c" | |
name: "bn4e_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2c" | |
top: "res4e_branch2c" | |
name: "scale4e_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4d" | |
bottom: "res4e_branch2c" | |
top: "res4e" | |
name: "res4e" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4e" | |
top: "res4e" | |
name: "res4e_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4e" | |
top: "res4f_branch2a" | |
name: "res4f_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a" | |
top: "res4f_branch2a" | |
name: "bn4f_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a" | |
top: "res4f_branch2a" | |
name: "scale4f_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a" | |
top: "res4f_branch2a" | |
name: "res4f_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4f_branch2a" | |
top: "res4f_branch2b" | |
name: "res4f_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b" | |
top: "res4f_branch2b" | |
name: "bn4f_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b" | |
top: "res4f_branch2b" | |
name: "scale4f_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b" | |
top: "res4f_branch2b" | |
name: "res4f_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4f_branch2b" | |
top: "res4f_branch2c" | |
name: "res4f_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4f_branch2c" | |
top: "res4f_branch2c" | |
name: "bn4f_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2c" | |
top: "res4f_branch2c" | |
name: "scale4f_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4e" | |
bottom: "res4f_branch2c" | |
top: "res4f" | |
name: "res4f" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4f" | |
top: "res4f" | |
name: "res4f_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4f" | |
top: "res5a_branch1" | |
name: "res5a_branch1" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch1" | |
top: "res5a_branch1" | |
name: "bn5a_branch1" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch1" | |
top: "res5a_branch1" | |
name: "scale5a_branch1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f" | |
top: "res5a_branch2a" | |
name: "res5a_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a" | |
top: "res5a_branch2a" | |
name: "bn5a_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a" | |
top: "res5a_branch2a" | |
name: "scale5a_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a" | |
top: "res5a_branch2a" | |
name: "res5a_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5a_branch2a" | |
top: "res5a_branch2b" | |
name: "res5a_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b" | |
top: "res5a_branch2b" | |
name: "bn5a_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b" | |
top: "res5a_branch2b" | |
name: "scale5a_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b" | |
top: "res5a_branch2b" | |
name: "res5a_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5a_branch2b" | |
top: "res5a_branch2c" | |
name: "res5a_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch2c" | |
top: "res5a_branch2c" | |
name: "bn5a_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2c" | |
top: "res5a_branch2c" | |
name: "scale5a_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch1" | |
bottom: "res5a_branch2c" | |
top: "res5a" | |
name: "res5a" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res5a" | |
top: "res5a" | |
name: "res5a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5a" | |
top: "res5b_branch2a" | |
name: "res5b_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2a" | |
name: "bn5b_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2a" | |
name: "scale5b_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2a" | |
name: "res5b_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2b" | |
name: "res5b_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b" | |
top: "res5b_branch2b" | |
name: "bn5b_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b" | |
top: "res5b_branch2b" | |
name: "scale5b_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b" | |
top: "res5b_branch2b" | |
name: "res5b_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5b_branch2b" | |
top: "res5b_branch2c" | |
name: "res5b_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5b_branch2c" | |
top: "res5b_branch2c" | |
name: "bn5b_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2c" | |
top: "res5b_branch2c" | |
name: "scale5b_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a" | |
bottom: "res5b_branch2c" | |
top: "res5b" | |
name: "res5b" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res5b" | |
top: "res5b" | |
name: "res5b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5b" | |
top: "res5c_branch2a" | |
name: "res5c_branch2a" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a" | |
top: "res5c_branch2a" | |
name: "bn5c_branch2a" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a" | |
top: "res5c_branch2a" | |
name: "scale5c_branch2a" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a" | |
top: "res5c_branch2a" | |
name: "res5c_branch2a_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5c_branch2a" | |
top: "res5c_branch2b" | |
name: "res5c_branch2b" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b" | |
top: "res5c_branch2b" | |
name: "bn5c_branch2b" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b" | |
top: "res5c_branch2b" | |
name: "scale5c_branch2b" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b" | |
top: "res5c_branch2b" | |
name: "res5c_branch2b_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5c_branch2b" | |
top: "res5c_branch2c" | |
name: "res5c_branch2c" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5c_branch2c" | |
top: "res5c_branch2c" | |
name: "bn5c_branch2c" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2c" | |
top: "res5c_branch2c" | |
name: "scale5c_branch2c" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b" | |
bottom: "res5c_branch2c" | |
top: "res5c" | |
name: "res5c" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res5c" | |
top: "res5c" | |
name: "res5c_relu" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5c" | |
top: "pool5" | |
name: "pool5" | |
type: "Pooling" | |
pooling_param { | |
kernel_size: 7 | |
stride: 1 | |
pool: AVE | |
} | |
} | |
layer { | |
name: "pred_attribute" | |
type: "InnerProductWithWeights" | |
bottom: "pool5" | |
top: "pred_attribute" | |
top: "fc_weights" | |
param { | |
lr_mult: 0 | |
} | |
param { | |
lr_mult: 0 | |
} | |
inner_product_param { | |
num_output: 6 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: "data" | |
top: "conv1@t" | |
name: "conv1@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 7 | |
pad: 3 | |
stride: 2 | |
} | |
} | |
layer { | |
bottom: "conv1@t" | |
top: "conv1@t" | |
name: "bn_conv1@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "conv1@t" | |
top: "conv1@t" | |
name: "scale_conv1@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv1@t" | |
top: "conv1@t" | |
name: "conv1_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv1@t" | |
top: "pool1@t" | |
name: "pool1@t" | |
type: "Pooling" | |
pooling_param { | |
kernel_size: 3 | |
stride: 2 | |
pool: MAX | |
} | |
} | |
layer { | |
bottom: "pool1@t" | |
top: "res2a_branch1@t" | |
name: "res2a_branch1@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch1@t" | |
top: "res2a_branch1@t" | |
name: "bn2a_branch1@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch1@t" | |
top: "res2a_branch1@t" | |
name: "scale2a_branch1@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "pool1@t" | |
top: "res2a_branch2a@t" | |
name: "res2a_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a@t" | |
top: "res2a_branch2a@t" | |
name: "bn2a_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a@t" | |
top: "res2a_branch2a@t" | |
name: "scale2a_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a@t" | |
top: "res2a_branch2a@t" | |
name: "res2a_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2a_branch2a@t" | |
top: "res2a_branch2b@t" | |
name: "res2a_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b@t" | |
top: "res2a_branch2b@t" | |
name: "bn2a_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b@t" | |
top: "res2a_branch2b@t" | |
name: "scale2a_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b@t" | |
top: "res2a_branch2b@t" | |
name: "res2a_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2a_branch2b@t" | |
top: "res2a_branch2c@t" | |
name: "res2a_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2a_branch2c@t" | |
top: "res2a_branch2c@t" | |
name: "bn2a_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2c@t" | |
top: "res2a_branch2c@t" | |
name: "scale2a_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch1@t" | |
bottom: "res2a_branch2c@t" | |
top: "res2a@t" | |
name: "res2a@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res2a@t" | |
top: "res2a@t" | |
name: "res2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2a@t" | |
top: "res2b_branch2a@t" | |
name: "res2b_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a@t" | |
top: "res2b_branch2a@t" | |
name: "bn2b_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a@t" | |
top: "res2b_branch2a@t" | |
name: "scale2b_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a@t" | |
top: "res2b_branch2a@t" | |
name: "res2b_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2b_branch2a@t" | |
top: "res2b_branch2b@t" | |
name: "res2b_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b@t" | |
top: "res2b_branch2b@t" | |
name: "bn2b_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b@t" | |
top: "res2b_branch2b@t" | |
name: "scale2b_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b@t" | |
top: "res2b_branch2b@t" | |
name: "res2b_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2b_branch2b@t" | |
top: "res2b_branch2c@t" | |
name: "res2b_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2b_branch2c@t" | |
top: "res2b_branch2c@t" | |
name: "bn2b_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2c@t" | |
top: "res2b_branch2c@t" | |
name: "scale2b_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2a@t" | |
bottom: "res2b_branch2c@t" | |
top: "res2b@t" | |
name: "res2b@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res2b@t" | |
top: "res2b@t" | |
name: "res2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2b@t" | |
top: "res2c_branch2a@t" | |
name: "res2c_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a@t" | |
top: "res2c_branch2a@t" | |
name: "bn2c_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a@t" | |
top: "res2c_branch2a@t" | |
name: "scale2c_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a@t" | |
top: "res2c_branch2a@t" | |
name: "res2c_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2c_branch2a@t" | |
top: "res2c_branch2b@t" | |
name: "res2c_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 64 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b@t" | |
top: "res2c_branch2b@t" | |
name: "bn2c_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b@t" | |
top: "res2c_branch2b@t" | |
name: "scale2c_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b@t" | |
top: "res2c_branch2b@t" | |
name: "res2c_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2c_branch2b@t" | |
top: "res2c_branch2c@t" | |
name: "res2c_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res2c_branch2c@t" | |
top: "res2c_branch2c@t" | |
name: "bn2c_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2c@t" | |
top: "res2c_branch2c@t" | |
name: "scale2c_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2b@t" | |
bottom: "res2c_branch2c@t" | |
top: "res2c@t" | |
name: "res2c@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res2c@t" | |
top: "res2c@t" | |
name: "res2c_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res2c@t" | |
top: "res3a_branch1@t" | |
name: "res3a_branch1@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch1@t" | |
top: "res3a_branch1@t" | |
name: "bn3a_branch1@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch1@t" | |
top: "res3a_branch1@t" | |
name: "scale3a_branch1@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c@t" | |
top: "res3a_branch2a@t" | |
name: "res3a_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a@t" | |
top: "res3a_branch2a@t" | |
name: "bn3a_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a@t" | |
top: "res3a_branch2a@t" | |
name: "scale3a_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a@t" | |
top: "res3a_branch2a@t" | |
name: "res3a_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3a_branch2a@t" | |
top: "res3a_branch2b@t" | |
name: "res3a_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b@t" | |
top: "res3a_branch2b@t" | |
name: "bn3a_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b@t" | |
top: "res3a_branch2b@t" | |
name: "scale3a_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b@t" | |
top: "res3a_branch2b@t" | |
name: "res3a_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3a_branch2b@t" | |
top: "res3a_branch2c@t" | |
name: "res3a_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3a_branch2c@t" | |
top: "res3a_branch2c@t" | |
name: "bn3a_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2c@t" | |
top: "res3a_branch2c@t" | |
name: "scale3a_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch1@t" | |
bottom: "res3a_branch2c@t" | |
top: "res3a@t" | |
name: "res3a@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3a@t" | |
top: "res3a@t" | |
name: "res3a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3a@t" | |
top: "res3b_branch2a@t" | |
name: "res3b_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a@t" | |
top: "res3b_branch2a@t" | |
name: "bn3b_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a@t" | |
top: "res3b_branch2a@t" | |
name: "scale3b_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a@t" | |
top: "res3b_branch2a@t" | |
name: "res3b_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3b_branch2a@t" | |
top: "res3b_branch2b@t" | |
name: "res3b_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b@t" | |
top: "res3b_branch2b@t" | |
name: "bn3b_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b@t" | |
top: "res3b_branch2b@t" | |
name: "scale3b_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b@t" | |
top: "res3b_branch2b@t" | |
name: "res3b_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3b_branch2b@t" | |
top: "res3b_branch2c@t" | |
name: "res3b_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3b_branch2c@t" | |
top: "res3b_branch2c@t" | |
name: "bn3b_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2c@t" | |
top: "res3b_branch2c@t" | |
name: "scale3b_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3a@t" | |
bottom: "res3b_branch2c@t" | |
top: "res3b@t" | |
name: "res3b@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3b@t" | |
top: "res3b@t" | |
name: "res3b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3b@t" | |
top: "res3c_branch2a@t" | |
name: "res3c_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a@t" | |
top: "res3c_branch2a@t" | |
name: "bn3c_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a@t" | |
top: "res3c_branch2a@t" | |
name: "scale3c_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a@t" | |
top: "res3c_branch2a@t" | |
name: "res3c_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3c_branch2a@t" | |
top: "res3c_branch2b@t" | |
name: "res3c_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b@t" | |
top: "res3c_branch2b@t" | |
name: "bn3c_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b@t" | |
top: "res3c_branch2b@t" | |
name: "scale3c_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b@t" | |
top: "res3c_branch2b@t" | |
name: "res3c_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3c_branch2b@t" | |
top: "res3c_branch2c@t" | |
name: "res3c_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3c_branch2c@t" | |
top: "res3c_branch2c@t" | |
name: "bn3c_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2c@t" | |
top: "res3c_branch2c@t" | |
name: "scale3c_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3b@t" | |
bottom: "res3c_branch2c@t" | |
top: "res3c@t" | |
name: "res3c@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3c@t" | |
top: "res3c@t" | |
name: "res3c_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3c@t" | |
top: "res3d_branch2a@t" | |
name: "res3d_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a@t" | |
top: "res3d_branch2a@t" | |
name: "bn3d_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a@t" | |
top: "res3d_branch2a@t" | |
name: "scale3d_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a@t" | |
top: "res3d_branch2a@t" | |
name: "res3d_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3d_branch2a@t" | |
top: "res3d_branch2b@t" | |
name: "res3d_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 128 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b@t" | |
top: "res3d_branch2b@t" | |
name: "bn3d_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b@t" | |
top: "res3d_branch2b@t" | |
name: "scale3d_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b@t" | |
top: "res3d_branch2b@t" | |
name: "res3d_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3d_branch2b@t" | |
top: "res3d_branch2c@t" | |
name: "res3d_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res3d_branch2c@t" | |
top: "res3d_branch2c@t" | |
name: "bn3d_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2c@t" | |
top: "res3d_branch2c@t" | |
name: "scale3d_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3c@t" | |
bottom: "res3d_branch2c@t" | |
top: "res3d@t" | |
name: "res3d@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res3d@t" | |
top: "res3d@t" | |
name: "res3d_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res3d@t" | |
top: "res4a_branch1@t" | |
name: "res4a_branch1@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch1@t" | |
top: "res4a_branch1@t" | |
name: "bn4a_branch1@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch1@t" | |
top: "res4a_branch1@t" | |
name: "scale4a_branch1@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d@t" | |
top: "res4a_branch2a@t" | |
name: "res4a_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a@t" | |
top: "res4a_branch2a@t" | |
name: "bn4a_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a@t" | |
top: "res4a_branch2a@t" | |
name: "scale4a_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a@t" | |
top: "res4a_branch2a@t" | |
name: "res4a_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4a_branch2a@t" | |
top: "res4a_branch2b@t" | |
name: "res4a_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b@t" | |
top: "res4a_branch2b@t" | |
name: "bn4a_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b@t" | |
top: "res4a_branch2b@t" | |
name: "scale4a_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b@t" | |
top: "res4a_branch2b@t" | |
name: "res4a_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4a_branch2b@t" | |
top: "res4a_branch2c@t" | |
name: "res4a_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4a_branch2c@t" | |
top: "res4a_branch2c@t" | |
name: "bn4a_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2c@t" | |
top: "res4a_branch2c@t" | |
name: "scale4a_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch1@t" | |
bottom: "res4a_branch2c@t" | |
top: "res4a@t" | |
name: "res4a@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4a@t" | |
top: "res4a@t" | |
name: "res4a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4a@t" | |
top: "res4b_branch2a@t" | |
name: "res4b_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a@t" | |
top: "res4b_branch2a@t" | |
name: "bn4b_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a@t" | |
top: "res4b_branch2a@t" | |
name: "scale4b_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a@t" | |
top: "res4b_branch2a@t" | |
name: "res4b_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4b_branch2a@t" | |
top: "res4b_branch2b@t" | |
name: "res4b_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b@t" | |
top: "res4b_branch2b@t" | |
name: "bn4b_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b@t" | |
top: "res4b_branch2b@t" | |
name: "scale4b_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b@t" | |
top: "res4b_branch2b@t" | |
name: "res4b_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4b_branch2b@t" | |
top: "res4b_branch2c@t" | |
name: "res4b_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4b_branch2c@t" | |
top: "res4b_branch2c@t" | |
name: "bn4b_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2c@t" | |
top: "res4b_branch2c@t" | |
name: "scale4b_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4a@t" | |
bottom: "res4b_branch2c@t" | |
top: "res4b@t" | |
name: "res4b@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4b@t" | |
top: "res4b@t" | |
name: "res4b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4b@t" | |
top: "res4c_branch2a@t" | |
name: "res4c_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a@t" | |
top: "res4c_branch2a@t" | |
name: "bn4c_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a@t" | |
top: "res4c_branch2a@t" | |
name: "scale4c_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a@t" | |
top: "res4c_branch2a@t" | |
name: "res4c_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4c_branch2a@t" | |
top: "res4c_branch2b@t" | |
name: "res4c_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b@t" | |
top: "res4c_branch2b@t" | |
name: "bn4c_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b@t" | |
top: "res4c_branch2b@t" | |
name: "scale4c_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b@t" | |
top: "res4c_branch2b@t" | |
name: "res4c_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4c_branch2b@t" | |
top: "res4c_branch2c@t" | |
name: "res4c_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4c_branch2c@t" | |
top: "res4c_branch2c@t" | |
name: "bn4c_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2c@t" | |
top: "res4c_branch2c@t" | |
name: "scale4c_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4b@t" | |
bottom: "res4c_branch2c@t" | |
top: "res4c@t" | |
name: "res4c@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4c@t" | |
top: "res4c@t" | |
name: "res4c_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4c@t" | |
top: "res4d_branch2a@t" | |
name: "res4d_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a@t" | |
top: "res4d_branch2a@t" | |
name: "bn4d_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a@t" | |
top: "res4d_branch2a@t" | |
name: "scale4d_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a@t" | |
top: "res4d_branch2a@t" | |
name: "res4d_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4d_branch2a@t" | |
top: "res4d_branch2b@t" | |
name: "res4d_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b@t" | |
top: "res4d_branch2b@t" | |
name: "bn4d_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b@t" | |
top: "res4d_branch2b@t" | |
name: "scale4d_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b@t" | |
top: "res4d_branch2b@t" | |
name: "res4d_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4d_branch2b@t" | |
top: "res4d_branch2c@t" | |
name: "res4d_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4d_branch2c@t" | |
top: "res4d_branch2c@t" | |
name: "bn4d_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2c@t" | |
top: "res4d_branch2c@t" | |
name: "scale4d_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4c@t" | |
bottom: "res4d_branch2c@t" | |
top: "res4d@t" | |
name: "res4d@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4d@t" | |
top: "res4d@t" | |
name: "res4d_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4d@t" | |
top: "res4e_branch2a@t" | |
name: "res4e_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a@t" | |
top: "res4e_branch2a@t" | |
name: "bn4e_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a@t" | |
top: "res4e_branch2a@t" | |
name: "scale4e_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a@t" | |
top: "res4e_branch2a@t" | |
name: "res4e_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4e_branch2a@t" | |
top: "res4e_branch2b@t" | |
name: "res4e_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b@t" | |
top: "res4e_branch2b@t" | |
name: "bn4e_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b@t" | |
top: "res4e_branch2b@t" | |
name: "scale4e_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b@t" | |
top: "res4e_branch2b@t" | |
name: "res4e_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4e_branch2b@t" | |
top: "res4e_branch2c@t" | |
name: "res4e_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4e_branch2c@t" | |
top: "res4e_branch2c@t" | |
name: "bn4e_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2c@t" | |
top: "res4e_branch2c@t" | |
name: "scale4e_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4d@t" | |
bottom: "res4e_branch2c@t" | |
top: "res4e@t" | |
name: "res4e@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4e@t" | |
top: "res4e@t" | |
name: "res4e_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4e@t" | |
top: "res4f_branch2a@t" | |
name: "res4f_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a@t" | |
top: "res4f_branch2a@t" | |
name: "bn4f_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a@t" | |
top: "res4f_branch2a@t" | |
name: "scale4f_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a@t" | |
top: "res4f_branch2a@t" | |
name: "res4f_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4f_branch2a@t" | |
top: "res4f_branch2b@t" | |
name: "res4f_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b@t" | |
top: "res4f_branch2b@t" | |
name: "bn4f_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b@t" | |
top: "res4f_branch2b@t" | |
name: "scale4f_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b@t" | |
top: "res4f_branch2b@t" | |
name: "res4f_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4f_branch2b@t" | |
top: "res4f_branch2c@t" | |
name: "res4f_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 1024 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res4f_branch2c@t" | |
top: "res4f_branch2c@t" | |
name: "bn4f_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2c@t" | |
top: "res4f_branch2c@t" | |
name: "scale4f_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4e@t" | |
bottom: "res4f_branch2c@t" | |
top: "res4f@t" | |
name: "res4f@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res4f@t" | |
top: "res4f@t" | |
name: "res4f_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res4f@t" | |
top: "res5a_branch1@t" | |
name: "res5a_branch1@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch1@t" | |
top: "res5a_branch1@t" | |
name: "bn5a_branch1@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch1@t" | |
top: "res5a_branch1@t" | |
name: "scale5a_branch1@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f@t" | |
top: "res5a_branch2a@t" | |
name: "res5a_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 2 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a@t" | |
top: "res5a_branch2a@t" | |
name: "bn5a_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a@t" | |
top: "res5a_branch2a@t" | |
name: "scale5a_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a@t" | |
top: "res5a_branch2a@t" | |
name: "res5a_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5a_branch2a@t" | |
top: "res5a_branch2b@t" | |
name: "res5a_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b@t" | |
top: "res5a_branch2b@t" | |
name: "bn5a_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b@t" | |
top: "res5a_branch2b@t" | |
name: "scale5a_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b@t" | |
top: "res5a_branch2b@t" | |
name: "res5a_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5a_branch2b@t" | |
top: "res5a_branch2c@t" | |
name: "res5a_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5a_branch2c@t" | |
top: "res5a_branch2c@t" | |
name: "bn5a_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2c@t" | |
top: "res5a_branch2c@t" | |
name: "scale5a_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch1@t" | |
bottom: "res5a_branch2c@t" | |
top: "res5a@t" | |
name: "res5a@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res5a@t" | |
top: "res5a@t" | |
name: "res5a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5a@t" | |
top: "res5b_branch2a@t" | |
name: "res5b_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a@t" | |
top: "res5b_branch2a@t" | |
name: "bn5b_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a@t" | |
top: "res5b_branch2a@t" | |
name: "scale5b_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a@t" | |
top: "res5b_branch2a@t" | |
name: "res5b_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5b_branch2a@t" | |
top: "res5b_branch2b@t" | |
name: "res5b_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b@t" | |
top: "res5b_branch2b@t" | |
name: "bn5b_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b@t" | |
top: "res5b_branch2b@t" | |
name: "scale5b_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b@t" | |
top: "res5b_branch2b@t" | |
name: "res5b_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5b_branch2b@t" | |
top: "res5b_branch2c@t" | |
name: "res5b_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5b_branch2c@t" | |
top: "res5b_branch2c@t" | |
name: "bn5b_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2c@t" | |
top: "res5b_branch2c@t" | |
name: "scale5b_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5a@t" | |
bottom: "res5b_branch2c@t" | |
top: "res5b@t" | |
name: "res5b@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res5b@t" | |
top: "res5b@t" | |
name: "res5b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5b@t" | |
top: "res5c_branch2a@t" | |
name: "res5c_branch2a@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a@t" | |
top: "res5c_branch2a@t" | |
name: "bn5c_branch2a@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a@t" | |
top: "res5c_branch2a@t" | |
name: "scale5c_branch2a@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a@t" | |
top: "res5c_branch2a@t" | |
name: "res5c_branch2a_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5c_branch2a@t" | |
top: "res5c_branch2b@t" | |
name: "res5c_branch2b@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 512 | |
kernel_size: 3 | |
pad: 1 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b@t" | |
top: "res5c_branch2b@t" | |
name: "bn5c_branch2b@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b@t" | |
top: "res5c_branch2b@t" | |
name: "scale5c_branch2b@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b@t" | |
top: "res5c_branch2b@t" | |
name: "res5c_branch2b_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5c_branch2b@t" | |
top: "res5c_branch2c@t" | |
name: "res5c_branch2c@t" | |
type: "Convolution" | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
layer { | |
bottom: "res5c_branch2c@t" | |
top: "res5c_branch2c@t" | |
name: "bn5c_branch2c@t" | |
type: "BatchNorm" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2c@t" | |
top: "res5c_branch2c@t" | |
name: "scale5c_branch2c@t" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b@t" | |
bottom: "res5c_branch2c@t" | |
top: "res5c@t" | |
name: "res5c@t" | |
type: "Eltwise" | |
} | |
layer { | |
bottom: "res5c@t" | |
top: "res5c@t" | |
name: "res5c_relu@t" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "res5c@t" | |
top: "pool5@t" | |
name: "pool5@t" | |
type: "Pooling" | |
pooling_param { | |
kernel_size: 7 | |
stride: 1 | |
pool: AVE | |
} | |
} | |
layer { | |
name: "pred_attribute@t" | |
type: "InnerProductWithWeights" | |
bottom: "pool5@t" | |
top: "pred_attribute@t" | |
top: "fc_weights@t" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 1 | |
decay_mult: 0 | |
} | |
inner_product_param { | |
num_output: 6 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0 | |
} | |
} | |
} | |
layer { | |
type: "Python" | |
name: "res_loss" | |
top: "res_loss" | |
bottom: "pred_attribute@t" | |
bottom: "pred_attribute" | |
bottom: "fc_weights@t" | |
bottom: "fc_weights" | |
propagate_down: 1 | |
propagate_down: 0 | |
propagate_down: 0 | |
propagate_down: 0 | |
python_param { | |
# the module name -- usually the filename -- that needs to be in $PYTHONPATH | |
module: 'python_loss_layer' | |
# the layer name -- the class name in the module | |
layer: 'UnsupervisedResdualCrossEntroyLossLayer' | |
} | |
# set loss weight so Caffe knows this is a loss layer. | |
# since PythonLayer inherits directly from Layer, this isn't automatically | |
# known to Caffe | |
loss_weight: 1 | |
#loss_param { | |
# ignore_label: -1 | |
#} | |
include { | |
phase: TRAIN | |
} | |
} | |
layer { | |
type: "Python" | |
name: "res_loss" | |
top: "res_loss" | |
bottom: "pred_attribute@t" | |
bottom: "pred_attribute" | |
bottom: "fc_weights@t" | |
bottom: "fc_weights" | |
propagate_down: 1 | |
propagate_down: 0 | |
propagate_down: 0 | |
propagate_down: 0 | |
python_param { | |
# the module name -- usually the filename -- that needs to be in $PYTHONPATH | |
module: 'python_loss_layer' | |
# the layer name -- the class name in the module | |
layer: 'UnsupervisedResdualCrossEntroyLossLayer' | |
} | |
# set loss weight so Caffe knows this is a loss layer. | |
# since PythonLayer inherits directly from Layer, this isn't automatically | |
# known to Caffe | |
loss_weight: 1 | |
#loss_param { | |
# ignore_label: -1 | |
#} | |
include { | |
phase: TEST | |
} | |
} | |
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