https://github.com/KaimingHe/deep-residual-networks
Tip revision: a7026cb6d478e131b765b898c312e25f9f6dc031 authored by Kaiming He on 29 July 2016, 16:32:10 UTC
Update README.md
Update README.md
Tip revision: a7026cb
ResNet-152-deploy.prototxt
name: "ResNet-152"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224
layer {
bottom: "data"
top: "conv1"
name: "conv1"
type: "Convolution"
convolution_param {
num_output: 64
kernel_size: 7
pad: 3
stride: 2
bias_term: false
}
}
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 {
top: "conv1"
bottom: "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 {
top: "res2a_branch2a"
bottom: "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 {
top: "res2a_branch2b"
bottom: "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"
}
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 {
top: "res2b_branch2a"
bottom: "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 {
top: "res2b_branch2b"
bottom: "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 {
top: "res2c_branch2a"
bottom: "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 {
top: "res2c_branch2b"
bottom: "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 {
top: "res3a_branch2a"
bottom: "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 {
top: "res3a_branch2b"
bottom: "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: "res3b1_branch2a"
name: "res3b1_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
name: "bn3b1_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b1_branch2a"
top: "res3b1_branch2a"
name: "scale3b1_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b1_branch2a"
bottom: "res3b1_branch2a"
name: "res3b1_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2a"
top: "res3b1_branch2b"
name: "res3b1_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
name: "bn3b1_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b1_branch2b"
top: "res3b1_branch2b"
name: "scale3b1_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b1_branch2b"
bottom: "res3b1_branch2b"
name: "res3b1_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b1_branch2b"
top: "res3b1_branch2c"
name: "res3b1_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b1_branch2c"
top: "res3b1_branch2c"
name: "bn3b1_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b1_branch2c"
top: "res3b1_branch2c"
name: "scale3b1_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3a"
bottom: "res3b1_branch2c"
top: "res3b1"
name: "res3b1"
type: "Eltwise"
}
layer {
bottom: "res3b1"
top: "res3b1"
name: "res3b1_relu"
type: "ReLU"
}
layer {
bottom: "res3b1"
top: "res3b2_branch2a"
name: "res3b2_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
name: "bn3b2_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b2_branch2a"
top: "res3b2_branch2a"
name: "scale3b2_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b2_branch2a"
bottom: "res3b2_branch2a"
name: "res3b2_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2a"
top: "res3b2_branch2b"
name: "res3b2_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
name: "bn3b2_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b2_branch2b"
top: "res3b2_branch2b"
name: "scale3b2_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b2_branch2b"
bottom: "res3b2_branch2b"
name: "res3b2_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b2_branch2b"
top: "res3b2_branch2c"
name: "res3b2_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b2_branch2c"
top: "res3b2_branch2c"
name: "bn3b2_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b2_branch2c"
top: "res3b2_branch2c"
name: "scale3b2_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3b1"
bottom: "res3b2_branch2c"
top: "res3b2"
name: "res3b2"
type: "Eltwise"
}
layer {
bottom: "res3b2"
top: "res3b2"
name: "res3b2_relu"
type: "ReLU"
}
layer {
bottom: "res3b2"
top: "res3b3_branch2a"
name: "res3b3_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
name: "bn3b3_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b3_branch2a"
top: "res3b3_branch2a"
name: "scale3b3_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b3_branch2a"
bottom: "res3b3_branch2a"
name: "res3b3_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2a"
top: "res3b3_branch2b"
name: "res3b3_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
name: "bn3b3_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b3_branch2b"
top: "res3b3_branch2b"
name: "scale3b3_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b3_branch2b"
bottom: "res3b3_branch2b"
name: "res3b3_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b3_branch2b"
top: "res3b3_branch2c"
name: "res3b3_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b3_branch2c"
top: "res3b3_branch2c"
name: "bn3b3_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b3_branch2c"
top: "res3b3_branch2c"
name: "scale3b3_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3b2"
bottom: "res3b3_branch2c"
top: "res3b3"
name: "res3b3"
type: "Eltwise"
}
layer {
bottom: "res3b3"
top: "res3b3"
name: "res3b3_relu"
type: "ReLU"
}
layer {
bottom: "res3b3"
top: "res3b4_branch2a"
name: "res3b4_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b4_branch2a"
top: "res3b4_branch2a"
name: "bn3b4_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b4_branch2a"
top: "res3b4_branch2a"
name: "scale3b4_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b4_branch2a"
bottom: "res3b4_branch2a"
name: "res3b4_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b4_branch2a"
top: "res3b4_branch2b"
name: "res3b4_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b4_branch2b"
top: "res3b4_branch2b"
name: "bn3b4_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b4_branch2b"
top: "res3b4_branch2b"
name: "scale3b4_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b4_branch2b"
bottom: "res3b4_branch2b"
name: "res3b4_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b4_branch2b"
top: "res3b4_branch2c"
name: "res3b4_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b4_branch2c"
top: "res3b4_branch2c"
name: "bn3b4_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b4_branch2c"
top: "res3b4_branch2c"
name: "scale3b4_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3b3"
bottom: "res3b4_branch2c"
top: "res3b4"
name: "res3b4"
type: "Eltwise"
}
layer {
bottom: "res3b4"
top: "res3b4"
name: "res3b4_relu"
type: "ReLU"
}
layer {
bottom: "res3b4"
top: "res3b5_branch2a"
name: "res3b5_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b5_branch2a"
top: "res3b5_branch2a"
name: "bn3b5_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b5_branch2a"
top: "res3b5_branch2a"
name: "scale3b5_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b5_branch2a"
bottom: "res3b5_branch2a"
name: "res3b5_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b5_branch2a"
top: "res3b5_branch2b"
name: "res3b5_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b5_branch2b"
top: "res3b5_branch2b"
name: "bn3b5_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b5_branch2b"
top: "res3b5_branch2b"
name: "scale3b5_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b5_branch2b"
bottom: "res3b5_branch2b"
name: "res3b5_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b5_branch2b"
top: "res3b5_branch2c"
name: "res3b5_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b5_branch2c"
top: "res3b5_branch2c"
name: "bn3b5_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b5_branch2c"
top: "res3b5_branch2c"
name: "scale3b5_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3b4"
bottom: "res3b5_branch2c"
top: "res3b5"
name: "res3b5"
type: "Eltwise"
}
layer {
bottom: "res3b5"
top: "res3b5"
name: "res3b5_relu"
type: "ReLU"
}
layer {
bottom: "res3b5"
top: "res3b6_branch2a"
name: "res3b6_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b6_branch2a"
top: "res3b6_branch2a"
name: "bn3b6_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b6_branch2a"
top: "res3b6_branch2a"
name: "scale3b6_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b6_branch2a"
bottom: "res3b6_branch2a"
name: "res3b6_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b6_branch2a"
top: "res3b6_branch2b"
name: "res3b6_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b6_branch2b"
top: "res3b6_branch2b"
name: "bn3b6_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b6_branch2b"
top: "res3b6_branch2b"
name: "scale3b6_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b6_branch2b"
bottom: "res3b6_branch2b"
name: "res3b6_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b6_branch2b"
top: "res3b6_branch2c"
name: "res3b6_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b6_branch2c"
top: "res3b6_branch2c"
name: "bn3b6_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b6_branch2c"
top: "res3b6_branch2c"
name: "scale3b6_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3b5"
bottom: "res3b6_branch2c"
top: "res3b6"
name: "res3b6"
type: "Eltwise"
}
layer {
bottom: "res3b6"
top: "res3b6"
name: "res3b6_relu"
type: "ReLU"
}
layer {
bottom: "res3b6"
top: "res3b7_branch2a"
name: "res3b7_branch2a"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b7_branch2a"
top: "res3b7_branch2a"
name: "bn3b7_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b7_branch2a"
top: "res3b7_branch2a"
name: "scale3b7_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b7_branch2a"
bottom: "res3b7_branch2a"
name: "res3b7_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res3b7_branch2a"
top: "res3b7_branch2b"
name: "res3b7_branch2b"
type: "Convolution"
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b7_branch2b"
top: "res3b7_branch2b"
name: "bn3b7_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b7_branch2b"
top: "res3b7_branch2b"
name: "scale3b7_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res3b7_branch2b"
bottom: "res3b7_branch2b"
name: "res3b7_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res3b7_branch2b"
top: "res3b7_branch2c"
name: "res3b7_branch2c"
type: "Convolution"
convolution_param {
num_output: 512
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res3b7_branch2c"
top: "res3b7_branch2c"
name: "bn3b7_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res3b7_branch2c"
top: "res3b7_branch2c"
name: "scale3b7_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res3b6"
bottom: "res3b7_branch2c"
top: "res3b7"
name: "res3b7"
type: "Eltwise"
}
layer {
bottom: "res3b7"
top: "res3b7"
name: "res3b7_relu"
type: "ReLU"
}
layer {
bottom: "res3b7"
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: "res3b7"
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 {
top: "res4a_branch2a"
bottom: "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 {
top: "res4a_branch2b"
bottom: "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: "res4b1_branch2a"
name: "res4b1_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
name: "bn4b1_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b1_branch2a"
top: "res4b1_branch2a"
name: "scale4b1_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b1_branch2a"
bottom: "res4b1_branch2a"
name: "res4b1_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2a"
top: "res4b1_branch2b"
name: "res4b1_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
name: "bn4b1_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b1_branch2b"
top: "res4b1_branch2b"
name: "scale4b1_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b1_branch2b"
bottom: "res4b1_branch2b"
name: "res4b1_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b1_branch2b"
top: "res4b1_branch2c"
name: "res4b1_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b1_branch2c"
top: "res4b1_branch2c"
name: "bn4b1_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b1_branch2c"
top: "res4b1_branch2c"
name: "scale4b1_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4a"
bottom: "res4b1_branch2c"
top: "res4b1"
name: "res4b1"
type: "Eltwise"
}
layer {
bottom: "res4b1"
top: "res4b1"
name: "res4b1_relu"
type: "ReLU"
}
layer {
bottom: "res4b1"
top: "res4b2_branch2a"
name: "res4b2_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
name: "bn4b2_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b2_branch2a"
top: "res4b2_branch2a"
name: "scale4b2_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b2_branch2a"
bottom: "res4b2_branch2a"
name: "res4b2_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2a"
top: "res4b2_branch2b"
name: "res4b2_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
name: "bn4b2_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b2_branch2b"
top: "res4b2_branch2b"
name: "scale4b2_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b2_branch2b"
bottom: "res4b2_branch2b"
name: "res4b2_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b2_branch2b"
top: "res4b2_branch2c"
name: "res4b2_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b2_branch2c"
top: "res4b2_branch2c"
name: "bn4b2_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b2_branch2c"
top: "res4b2_branch2c"
name: "scale4b2_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b1"
bottom: "res4b2_branch2c"
top: "res4b2"
name: "res4b2"
type: "Eltwise"
}
layer {
bottom: "res4b2"
top: "res4b2"
name: "res4b2_relu"
type: "ReLU"
}
layer {
bottom: "res4b2"
top: "res4b3_branch2a"
name: "res4b3_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
name: "bn4b3_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b3_branch2a"
top: "res4b3_branch2a"
name: "scale4b3_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b3_branch2a"
bottom: "res4b3_branch2a"
name: "res4b3_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2a"
top: "res4b3_branch2b"
name: "res4b3_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
name: "bn4b3_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b3_branch2b"
top: "res4b3_branch2b"
name: "scale4b3_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b3_branch2b"
bottom: "res4b3_branch2b"
name: "res4b3_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b3_branch2b"
top: "res4b3_branch2c"
name: "res4b3_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b3_branch2c"
top: "res4b3_branch2c"
name: "bn4b3_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b3_branch2c"
top: "res4b3_branch2c"
name: "scale4b3_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b2"
bottom: "res4b3_branch2c"
top: "res4b3"
name: "res4b3"
type: "Eltwise"
}
layer {
bottom: "res4b3"
top: "res4b3"
name: "res4b3_relu"
type: "ReLU"
}
layer {
bottom: "res4b3"
top: "res4b4_branch2a"
name: "res4b4_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
name: "bn4b4_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b4_branch2a"
top: "res4b4_branch2a"
name: "scale4b4_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b4_branch2a"
bottom: "res4b4_branch2a"
name: "res4b4_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2a"
top: "res4b4_branch2b"
name: "res4b4_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
name: "bn4b4_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b4_branch2b"
top: "res4b4_branch2b"
name: "scale4b4_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b4_branch2b"
bottom: "res4b4_branch2b"
name: "res4b4_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b4_branch2b"
top: "res4b4_branch2c"
name: "res4b4_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b4_branch2c"
top: "res4b4_branch2c"
name: "bn4b4_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b4_branch2c"
top: "res4b4_branch2c"
name: "scale4b4_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b3"
bottom: "res4b4_branch2c"
top: "res4b4"
name: "res4b4"
type: "Eltwise"
}
layer {
bottom: "res4b4"
top: "res4b4"
name: "res4b4_relu"
type: "ReLU"
}
layer {
bottom: "res4b4"
top: "res4b5_branch2a"
name: "res4b5_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
name: "bn4b5_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b5_branch2a"
top: "res4b5_branch2a"
name: "scale4b5_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b5_branch2a"
bottom: "res4b5_branch2a"
name: "res4b5_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2a"
top: "res4b5_branch2b"
name: "res4b5_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
name: "bn4b5_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b5_branch2b"
top: "res4b5_branch2b"
name: "scale4b5_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b5_branch2b"
bottom: "res4b5_branch2b"
name: "res4b5_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b5_branch2b"
top: "res4b5_branch2c"
name: "res4b5_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b5_branch2c"
top: "res4b5_branch2c"
name: "bn4b5_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b5_branch2c"
top: "res4b5_branch2c"
name: "scale4b5_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b4"
bottom: "res4b5_branch2c"
top: "res4b5"
name: "res4b5"
type: "Eltwise"
}
layer {
bottom: "res4b5"
top: "res4b5"
name: "res4b5_relu"
type: "ReLU"
}
layer {
bottom: "res4b5"
top: "res4b6_branch2a"
name: "res4b6_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
name: "bn4b6_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b6_branch2a"
top: "res4b6_branch2a"
name: "scale4b6_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b6_branch2a"
bottom: "res4b6_branch2a"
name: "res4b6_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2a"
top: "res4b6_branch2b"
name: "res4b6_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
name: "bn4b6_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b6_branch2b"
top: "res4b6_branch2b"
name: "scale4b6_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b6_branch2b"
bottom: "res4b6_branch2b"
name: "res4b6_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b6_branch2b"
top: "res4b6_branch2c"
name: "res4b6_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b6_branch2c"
top: "res4b6_branch2c"
name: "bn4b6_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b6_branch2c"
top: "res4b6_branch2c"
name: "scale4b6_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b5"
bottom: "res4b6_branch2c"
top: "res4b6"
name: "res4b6"
type: "Eltwise"
}
layer {
bottom: "res4b6"
top: "res4b6"
name: "res4b6_relu"
type: "ReLU"
}
layer {
bottom: "res4b6"
top: "res4b7_branch2a"
name: "res4b7_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
name: "bn4b7_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b7_branch2a"
top: "res4b7_branch2a"
name: "scale4b7_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b7_branch2a"
bottom: "res4b7_branch2a"
name: "res4b7_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2a"
top: "res4b7_branch2b"
name: "res4b7_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
name: "bn4b7_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b7_branch2b"
top: "res4b7_branch2b"
name: "scale4b7_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b7_branch2b"
bottom: "res4b7_branch2b"
name: "res4b7_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b7_branch2b"
top: "res4b7_branch2c"
name: "res4b7_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b7_branch2c"
top: "res4b7_branch2c"
name: "bn4b7_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b7_branch2c"
top: "res4b7_branch2c"
name: "scale4b7_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b6"
bottom: "res4b7_branch2c"
top: "res4b7"
name: "res4b7"
type: "Eltwise"
}
layer {
bottom: "res4b7"
top: "res4b7"
name: "res4b7_relu"
type: "ReLU"
}
layer {
bottom: "res4b7"
top: "res4b8_branch2a"
name: "res4b8_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
name: "bn4b8_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b8_branch2a"
top: "res4b8_branch2a"
name: "scale4b8_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b8_branch2a"
bottom: "res4b8_branch2a"
name: "res4b8_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2a"
top: "res4b8_branch2b"
name: "res4b8_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
name: "bn4b8_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b8_branch2b"
top: "res4b8_branch2b"
name: "scale4b8_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b8_branch2b"
bottom: "res4b8_branch2b"
name: "res4b8_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b8_branch2b"
top: "res4b8_branch2c"
name: "res4b8_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b8_branch2c"
top: "res4b8_branch2c"
name: "bn4b8_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b8_branch2c"
top: "res4b8_branch2c"
name: "scale4b8_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b7"
bottom: "res4b8_branch2c"
top: "res4b8"
name: "res4b8"
type: "Eltwise"
}
layer {
bottom: "res4b8"
top: "res4b8"
name: "res4b8_relu"
type: "ReLU"
}
layer {
bottom: "res4b8"
top: "res4b9_branch2a"
name: "res4b9_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
name: "bn4b9_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b9_branch2a"
top: "res4b9_branch2a"
name: "scale4b9_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b9_branch2a"
bottom: "res4b9_branch2a"
name: "res4b9_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2a"
top: "res4b9_branch2b"
name: "res4b9_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
name: "bn4b9_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b9_branch2b"
top: "res4b9_branch2b"
name: "scale4b9_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b9_branch2b"
bottom: "res4b9_branch2b"
name: "res4b9_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b9_branch2b"
top: "res4b9_branch2c"
name: "res4b9_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b9_branch2c"
top: "res4b9_branch2c"
name: "bn4b9_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b9_branch2c"
top: "res4b9_branch2c"
name: "scale4b9_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b8"
bottom: "res4b9_branch2c"
top: "res4b9"
name: "res4b9"
type: "Eltwise"
}
layer {
bottom: "res4b9"
top: "res4b9"
name: "res4b9_relu"
type: "ReLU"
}
layer {
bottom: "res4b9"
top: "res4b10_branch2a"
name: "res4b10_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
name: "bn4b10_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b10_branch2a"
top: "res4b10_branch2a"
name: "scale4b10_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b10_branch2a"
bottom: "res4b10_branch2a"
name: "res4b10_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2a"
top: "res4b10_branch2b"
name: "res4b10_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
name: "bn4b10_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b10_branch2b"
top: "res4b10_branch2b"
name: "scale4b10_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b10_branch2b"
bottom: "res4b10_branch2b"
name: "res4b10_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b10_branch2b"
top: "res4b10_branch2c"
name: "res4b10_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b10_branch2c"
top: "res4b10_branch2c"
name: "bn4b10_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b10_branch2c"
top: "res4b10_branch2c"
name: "scale4b10_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b9"
bottom: "res4b10_branch2c"
top: "res4b10"
name: "res4b10"
type: "Eltwise"
}
layer {
bottom: "res4b10"
top: "res4b10"
name: "res4b10_relu"
type: "ReLU"
}
layer {
bottom: "res4b10"
top: "res4b11_branch2a"
name: "res4b11_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
name: "bn4b11_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b11_branch2a"
top: "res4b11_branch2a"
name: "scale4b11_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b11_branch2a"
bottom: "res4b11_branch2a"
name: "res4b11_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2a"
top: "res4b11_branch2b"
name: "res4b11_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
name: "bn4b11_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b11_branch2b"
top: "res4b11_branch2b"
name: "scale4b11_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b11_branch2b"
bottom: "res4b11_branch2b"
name: "res4b11_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b11_branch2b"
top: "res4b11_branch2c"
name: "res4b11_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b11_branch2c"
top: "res4b11_branch2c"
name: "bn4b11_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b11_branch2c"
top: "res4b11_branch2c"
name: "scale4b11_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b10"
bottom: "res4b11_branch2c"
top: "res4b11"
name: "res4b11"
type: "Eltwise"
}
layer {
bottom: "res4b11"
top: "res4b11"
name: "res4b11_relu"
type: "ReLU"
}
layer {
bottom: "res4b11"
top: "res4b12_branch2a"
name: "res4b12_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
name: "bn4b12_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b12_branch2a"
top: "res4b12_branch2a"
name: "scale4b12_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b12_branch2a"
bottom: "res4b12_branch2a"
name: "res4b12_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2a"
top: "res4b12_branch2b"
name: "res4b12_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
name: "bn4b12_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b12_branch2b"
top: "res4b12_branch2b"
name: "scale4b12_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b12_branch2b"
bottom: "res4b12_branch2b"
name: "res4b12_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b12_branch2b"
top: "res4b12_branch2c"
name: "res4b12_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b12_branch2c"
top: "res4b12_branch2c"
name: "bn4b12_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b12_branch2c"
top: "res4b12_branch2c"
name: "scale4b12_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b11"
bottom: "res4b12_branch2c"
top: "res4b12"
name: "res4b12"
type: "Eltwise"
}
layer {
bottom: "res4b12"
top: "res4b12"
name: "res4b12_relu"
type: "ReLU"
}
layer {
bottom: "res4b12"
top: "res4b13_branch2a"
name: "res4b13_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
name: "bn4b13_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b13_branch2a"
top: "res4b13_branch2a"
name: "scale4b13_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b13_branch2a"
bottom: "res4b13_branch2a"
name: "res4b13_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2a"
top: "res4b13_branch2b"
name: "res4b13_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
name: "bn4b13_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b13_branch2b"
top: "res4b13_branch2b"
name: "scale4b13_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b13_branch2b"
bottom: "res4b13_branch2b"
name: "res4b13_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b13_branch2b"
top: "res4b13_branch2c"
name: "res4b13_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b13_branch2c"
top: "res4b13_branch2c"
name: "bn4b13_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b13_branch2c"
top: "res4b13_branch2c"
name: "scale4b13_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b12"
bottom: "res4b13_branch2c"
top: "res4b13"
name: "res4b13"
type: "Eltwise"
}
layer {
bottom: "res4b13"
top: "res4b13"
name: "res4b13_relu"
type: "ReLU"
}
layer {
bottom: "res4b13"
top: "res4b14_branch2a"
name: "res4b14_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
name: "bn4b14_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b14_branch2a"
top: "res4b14_branch2a"
name: "scale4b14_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b14_branch2a"
bottom: "res4b14_branch2a"
name: "res4b14_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2a"
top: "res4b14_branch2b"
name: "res4b14_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
name: "bn4b14_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b14_branch2b"
top: "res4b14_branch2b"
name: "scale4b14_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b14_branch2b"
bottom: "res4b14_branch2b"
name: "res4b14_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b14_branch2b"
top: "res4b14_branch2c"
name: "res4b14_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b14_branch2c"
top: "res4b14_branch2c"
name: "bn4b14_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b14_branch2c"
top: "res4b14_branch2c"
name: "scale4b14_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b13"
bottom: "res4b14_branch2c"
top: "res4b14"
name: "res4b14"
type: "Eltwise"
}
layer {
bottom: "res4b14"
top: "res4b14"
name: "res4b14_relu"
type: "ReLU"
}
layer {
bottom: "res4b14"
top: "res4b15_branch2a"
name: "res4b15_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
name: "bn4b15_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b15_branch2a"
top: "res4b15_branch2a"
name: "scale4b15_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b15_branch2a"
bottom: "res4b15_branch2a"
name: "res4b15_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2a"
top: "res4b15_branch2b"
name: "res4b15_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
name: "bn4b15_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b15_branch2b"
top: "res4b15_branch2b"
name: "scale4b15_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b15_branch2b"
bottom: "res4b15_branch2b"
name: "res4b15_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b15_branch2b"
top: "res4b15_branch2c"
name: "res4b15_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b15_branch2c"
top: "res4b15_branch2c"
name: "bn4b15_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b15_branch2c"
top: "res4b15_branch2c"
name: "scale4b15_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b14"
bottom: "res4b15_branch2c"
top: "res4b15"
name: "res4b15"
type: "Eltwise"
}
layer {
bottom: "res4b15"
top: "res4b15"
name: "res4b15_relu"
type: "ReLU"
}
layer {
bottom: "res4b15"
top: "res4b16_branch2a"
name: "res4b16_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
name: "bn4b16_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b16_branch2a"
top: "res4b16_branch2a"
name: "scale4b16_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b16_branch2a"
bottom: "res4b16_branch2a"
name: "res4b16_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2a"
top: "res4b16_branch2b"
name: "res4b16_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
name: "bn4b16_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b16_branch2b"
top: "res4b16_branch2b"
name: "scale4b16_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b16_branch2b"
bottom: "res4b16_branch2b"
name: "res4b16_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b16_branch2b"
top: "res4b16_branch2c"
name: "res4b16_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b16_branch2c"
top: "res4b16_branch2c"
name: "bn4b16_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b16_branch2c"
top: "res4b16_branch2c"
name: "scale4b16_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b15"
bottom: "res4b16_branch2c"
top: "res4b16"
name: "res4b16"
type: "Eltwise"
}
layer {
bottom: "res4b16"
top: "res4b16"
name: "res4b16_relu"
type: "ReLU"
}
layer {
bottom: "res4b16"
top: "res4b17_branch2a"
name: "res4b17_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
name: "bn4b17_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b17_branch2a"
top: "res4b17_branch2a"
name: "scale4b17_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b17_branch2a"
bottom: "res4b17_branch2a"
name: "res4b17_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2a"
top: "res4b17_branch2b"
name: "res4b17_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
name: "bn4b17_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b17_branch2b"
top: "res4b17_branch2b"
name: "scale4b17_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b17_branch2b"
bottom: "res4b17_branch2b"
name: "res4b17_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b17_branch2b"
top: "res4b17_branch2c"
name: "res4b17_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b17_branch2c"
top: "res4b17_branch2c"
name: "bn4b17_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b17_branch2c"
top: "res4b17_branch2c"
name: "scale4b17_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b16"
bottom: "res4b17_branch2c"
top: "res4b17"
name: "res4b17"
type: "Eltwise"
}
layer {
bottom: "res4b17"
top: "res4b17"
name: "res4b17_relu"
type: "ReLU"
}
layer {
bottom: "res4b17"
top: "res4b18_branch2a"
name: "res4b18_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
name: "bn4b18_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b18_branch2a"
top: "res4b18_branch2a"
name: "scale4b18_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b18_branch2a"
bottom: "res4b18_branch2a"
name: "res4b18_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2a"
top: "res4b18_branch2b"
name: "res4b18_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
name: "bn4b18_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b18_branch2b"
top: "res4b18_branch2b"
name: "scale4b18_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b18_branch2b"
bottom: "res4b18_branch2b"
name: "res4b18_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b18_branch2b"
top: "res4b18_branch2c"
name: "res4b18_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b18_branch2c"
top: "res4b18_branch2c"
name: "bn4b18_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b18_branch2c"
top: "res4b18_branch2c"
name: "scale4b18_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b17"
bottom: "res4b18_branch2c"
top: "res4b18"
name: "res4b18"
type: "Eltwise"
}
layer {
bottom: "res4b18"
top: "res4b18"
name: "res4b18_relu"
type: "ReLU"
}
layer {
bottom: "res4b18"
top: "res4b19_branch2a"
name: "res4b19_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
name: "bn4b19_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b19_branch2a"
top: "res4b19_branch2a"
name: "scale4b19_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b19_branch2a"
bottom: "res4b19_branch2a"
name: "res4b19_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2a"
top: "res4b19_branch2b"
name: "res4b19_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
name: "bn4b19_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b19_branch2b"
top: "res4b19_branch2b"
name: "scale4b19_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b19_branch2b"
bottom: "res4b19_branch2b"
name: "res4b19_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b19_branch2b"
top: "res4b19_branch2c"
name: "res4b19_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b19_branch2c"
top: "res4b19_branch2c"
name: "bn4b19_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b19_branch2c"
top: "res4b19_branch2c"
name: "scale4b19_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b18"
bottom: "res4b19_branch2c"
top: "res4b19"
name: "res4b19"
type: "Eltwise"
}
layer {
bottom: "res4b19"
top: "res4b19"
name: "res4b19_relu"
type: "ReLU"
}
layer {
bottom: "res4b19"
top: "res4b20_branch2a"
name: "res4b20_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
name: "bn4b20_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b20_branch2a"
top: "res4b20_branch2a"
name: "scale4b20_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b20_branch2a"
bottom: "res4b20_branch2a"
name: "res4b20_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2a"
top: "res4b20_branch2b"
name: "res4b20_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
name: "bn4b20_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b20_branch2b"
top: "res4b20_branch2b"
name: "scale4b20_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b20_branch2b"
bottom: "res4b20_branch2b"
name: "res4b20_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b20_branch2b"
top: "res4b20_branch2c"
name: "res4b20_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b20_branch2c"
top: "res4b20_branch2c"
name: "bn4b20_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b20_branch2c"
top: "res4b20_branch2c"
name: "scale4b20_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b19"
bottom: "res4b20_branch2c"
top: "res4b20"
name: "res4b20"
type: "Eltwise"
}
layer {
bottom: "res4b20"
top: "res4b20"
name: "res4b20_relu"
type: "ReLU"
}
layer {
bottom: "res4b20"
top: "res4b21_branch2a"
name: "res4b21_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
name: "bn4b21_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b21_branch2a"
top: "res4b21_branch2a"
name: "scale4b21_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b21_branch2a"
bottom: "res4b21_branch2a"
name: "res4b21_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2a"
top: "res4b21_branch2b"
name: "res4b21_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
name: "bn4b21_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b21_branch2b"
top: "res4b21_branch2b"
name: "scale4b21_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b21_branch2b"
bottom: "res4b21_branch2b"
name: "res4b21_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b21_branch2b"
top: "res4b21_branch2c"
name: "res4b21_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b21_branch2c"
top: "res4b21_branch2c"
name: "bn4b21_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b21_branch2c"
top: "res4b21_branch2c"
name: "scale4b21_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b20"
bottom: "res4b21_branch2c"
top: "res4b21"
name: "res4b21"
type: "Eltwise"
}
layer {
bottom: "res4b21"
top: "res4b21"
name: "res4b21_relu"
type: "ReLU"
}
layer {
bottom: "res4b21"
top: "res4b22_branch2a"
name: "res4b22_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
name: "bn4b22_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b22_branch2a"
top: "res4b22_branch2a"
name: "scale4b22_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b22_branch2a"
bottom: "res4b22_branch2a"
name: "res4b22_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2a"
top: "res4b22_branch2b"
name: "res4b22_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
name: "bn4b22_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b22_branch2b"
top: "res4b22_branch2b"
name: "scale4b22_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b22_branch2b"
bottom: "res4b22_branch2b"
name: "res4b22_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b22_branch2b"
top: "res4b22_branch2c"
name: "res4b22_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b22_branch2c"
top: "res4b22_branch2c"
name: "bn4b22_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b22_branch2c"
top: "res4b22_branch2c"
name: "scale4b22_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b21"
bottom: "res4b22_branch2c"
top: "res4b22"
name: "res4b22"
type: "Eltwise"
}
layer {
bottom: "res4b22"
top: "res4b22"
name: "res4b22_relu"
type: "ReLU"
}
layer {
bottom: "res4b22"
top: "res4b23_branch2a"
name: "res4b23_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b23_branch2a"
top: "res4b23_branch2a"
name: "bn4b23_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b23_branch2a"
top: "res4b23_branch2a"
name: "scale4b23_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b23_branch2a"
bottom: "res4b23_branch2a"
name: "res4b23_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b23_branch2a"
top: "res4b23_branch2b"
name: "res4b23_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b23_branch2b"
top: "res4b23_branch2b"
name: "bn4b23_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b23_branch2b"
top: "res4b23_branch2b"
name: "scale4b23_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b23_branch2b"
bottom: "res4b23_branch2b"
name: "res4b23_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b23_branch2b"
top: "res4b23_branch2c"
name: "res4b23_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b23_branch2c"
top: "res4b23_branch2c"
name: "bn4b23_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b23_branch2c"
top: "res4b23_branch2c"
name: "scale4b23_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b22"
bottom: "res4b23_branch2c"
top: "res4b23"
name: "res4b23"
type: "Eltwise"
}
layer {
bottom: "res4b23"
top: "res4b23"
name: "res4b23_relu"
type: "ReLU"
}
layer {
bottom: "res4b23"
top: "res4b24_branch2a"
name: "res4b24_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b24_branch2a"
top: "res4b24_branch2a"
name: "bn4b24_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b24_branch2a"
top: "res4b24_branch2a"
name: "scale4b24_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b24_branch2a"
bottom: "res4b24_branch2a"
name: "res4b24_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b24_branch2a"
top: "res4b24_branch2b"
name: "res4b24_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b24_branch2b"
top: "res4b24_branch2b"
name: "bn4b24_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b24_branch2b"
top: "res4b24_branch2b"
name: "scale4b24_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b24_branch2b"
bottom: "res4b24_branch2b"
name: "res4b24_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b24_branch2b"
top: "res4b24_branch2c"
name: "res4b24_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b24_branch2c"
top: "res4b24_branch2c"
name: "bn4b24_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b24_branch2c"
top: "res4b24_branch2c"
name: "scale4b24_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b23"
bottom: "res4b24_branch2c"
top: "res4b24"
name: "res4b24"
type: "Eltwise"
}
layer {
bottom: "res4b24"
top: "res4b24"
name: "res4b24_relu"
type: "ReLU"
}
layer {
bottom: "res4b24"
top: "res4b25_branch2a"
name: "res4b25_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b25_branch2a"
top: "res4b25_branch2a"
name: "bn4b25_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b25_branch2a"
top: "res4b25_branch2a"
name: "scale4b25_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b25_branch2a"
bottom: "res4b25_branch2a"
name: "res4b25_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b25_branch2a"
top: "res4b25_branch2b"
name: "res4b25_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b25_branch2b"
top: "res4b25_branch2b"
name: "bn4b25_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b25_branch2b"
top: "res4b25_branch2b"
name: "scale4b25_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b25_branch2b"
bottom: "res4b25_branch2b"
name: "res4b25_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b25_branch2b"
top: "res4b25_branch2c"
name: "res4b25_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b25_branch2c"
top: "res4b25_branch2c"
name: "bn4b25_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b25_branch2c"
top: "res4b25_branch2c"
name: "scale4b25_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b24"
bottom: "res4b25_branch2c"
top: "res4b25"
name: "res4b25"
type: "Eltwise"
}
layer {
bottom: "res4b25"
top: "res4b25"
name: "res4b25_relu"
type: "ReLU"
}
layer {
bottom: "res4b25"
top: "res4b26_branch2a"
name: "res4b26_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b26_branch2a"
top: "res4b26_branch2a"
name: "bn4b26_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b26_branch2a"
top: "res4b26_branch2a"
name: "scale4b26_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b26_branch2a"
bottom: "res4b26_branch2a"
name: "res4b26_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b26_branch2a"
top: "res4b26_branch2b"
name: "res4b26_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b26_branch2b"
top: "res4b26_branch2b"
name: "bn4b26_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b26_branch2b"
top: "res4b26_branch2b"
name: "scale4b26_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b26_branch2b"
bottom: "res4b26_branch2b"
name: "res4b26_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b26_branch2b"
top: "res4b26_branch2c"
name: "res4b26_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b26_branch2c"
top: "res4b26_branch2c"
name: "bn4b26_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b26_branch2c"
top: "res4b26_branch2c"
name: "scale4b26_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b25"
bottom: "res4b26_branch2c"
top: "res4b26"
name: "res4b26"
type: "Eltwise"
}
layer {
bottom: "res4b26"
top: "res4b26"
name: "res4b26_relu"
type: "ReLU"
}
layer {
bottom: "res4b26"
top: "res4b27_branch2a"
name: "res4b27_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b27_branch2a"
top: "res4b27_branch2a"
name: "bn4b27_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b27_branch2a"
top: "res4b27_branch2a"
name: "scale4b27_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b27_branch2a"
bottom: "res4b27_branch2a"
name: "res4b27_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b27_branch2a"
top: "res4b27_branch2b"
name: "res4b27_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b27_branch2b"
top: "res4b27_branch2b"
name: "bn4b27_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b27_branch2b"
top: "res4b27_branch2b"
name: "scale4b27_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b27_branch2b"
bottom: "res4b27_branch2b"
name: "res4b27_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b27_branch2b"
top: "res4b27_branch2c"
name: "res4b27_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b27_branch2c"
top: "res4b27_branch2c"
name: "bn4b27_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b27_branch2c"
top: "res4b27_branch2c"
name: "scale4b27_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b26"
bottom: "res4b27_branch2c"
top: "res4b27"
name: "res4b27"
type: "Eltwise"
}
layer {
bottom: "res4b27"
top: "res4b27"
name: "res4b27_relu"
type: "ReLU"
}
layer {
bottom: "res4b27"
top: "res4b28_branch2a"
name: "res4b28_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b28_branch2a"
top: "res4b28_branch2a"
name: "bn4b28_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b28_branch2a"
top: "res4b28_branch2a"
name: "scale4b28_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b28_branch2a"
bottom: "res4b28_branch2a"
name: "res4b28_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b28_branch2a"
top: "res4b28_branch2b"
name: "res4b28_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b28_branch2b"
top: "res4b28_branch2b"
name: "bn4b28_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b28_branch2b"
top: "res4b28_branch2b"
name: "scale4b28_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b28_branch2b"
bottom: "res4b28_branch2b"
name: "res4b28_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b28_branch2b"
top: "res4b28_branch2c"
name: "res4b28_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b28_branch2c"
top: "res4b28_branch2c"
name: "bn4b28_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b28_branch2c"
top: "res4b28_branch2c"
name: "scale4b28_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b27"
bottom: "res4b28_branch2c"
top: "res4b28"
name: "res4b28"
type: "Eltwise"
}
layer {
bottom: "res4b28"
top: "res4b28"
name: "res4b28_relu"
type: "ReLU"
}
layer {
bottom: "res4b28"
top: "res4b29_branch2a"
name: "res4b29_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b29_branch2a"
top: "res4b29_branch2a"
name: "bn4b29_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b29_branch2a"
top: "res4b29_branch2a"
name: "scale4b29_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b29_branch2a"
bottom: "res4b29_branch2a"
name: "res4b29_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b29_branch2a"
top: "res4b29_branch2b"
name: "res4b29_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b29_branch2b"
top: "res4b29_branch2b"
name: "bn4b29_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b29_branch2b"
top: "res4b29_branch2b"
name: "scale4b29_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b29_branch2b"
bottom: "res4b29_branch2b"
name: "res4b29_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b29_branch2b"
top: "res4b29_branch2c"
name: "res4b29_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b29_branch2c"
top: "res4b29_branch2c"
name: "bn4b29_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b29_branch2c"
top: "res4b29_branch2c"
name: "scale4b29_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b28"
bottom: "res4b29_branch2c"
top: "res4b29"
name: "res4b29"
type: "Eltwise"
}
layer {
bottom: "res4b29"
top: "res4b29"
name: "res4b29_relu"
type: "ReLU"
}
layer {
bottom: "res4b29"
top: "res4b30_branch2a"
name: "res4b30_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b30_branch2a"
top: "res4b30_branch2a"
name: "bn4b30_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b30_branch2a"
top: "res4b30_branch2a"
name: "scale4b30_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b30_branch2a"
bottom: "res4b30_branch2a"
name: "res4b30_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b30_branch2a"
top: "res4b30_branch2b"
name: "res4b30_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b30_branch2b"
top: "res4b30_branch2b"
name: "bn4b30_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b30_branch2b"
top: "res4b30_branch2b"
name: "scale4b30_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b30_branch2b"
bottom: "res4b30_branch2b"
name: "res4b30_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b30_branch2b"
top: "res4b30_branch2c"
name: "res4b30_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b30_branch2c"
top: "res4b30_branch2c"
name: "bn4b30_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b30_branch2c"
top: "res4b30_branch2c"
name: "scale4b30_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b29"
bottom: "res4b30_branch2c"
top: "res4b30"
name: "res4b30"
type: "Eltwise"
}
layer {
bottom: "res4b30"
top: "res4b30"
name: "res4b30_relu"
type: "ReLU"
}
layer {
bottom: "res4b30"
top: "res4b31_branch2a"
name: "res4b31_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b31_branch2a"
top: "res4b31_branch2a"
name: "bn4b31_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b31_branch2a"
top: "res4b31_branch2a"
name: "scale4b31_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b31_branch2a"
bottom: "res4b31_branch2a"
name: "res4b31_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b31_branch2a"
top: "res4b31_branch2b"
name: "res4b31_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b31_branch2b"
top: "res4b31_branch2b"
name: "bn4b31_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b31_branch2b"
top: "res4b31_branch2b"
name: "scale4b31_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b31_branch2b"
bottom: "res4b31_branch2b"
name: "res4b31_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b31_branch2b"
top: "res4b31_branch2c"
name: "res4b31_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b31_branch2c"
top: "res4b31_branch2c"
name: "bn4b31_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b31_branch2c"
top: "res4b31_branch2c"
name: "scale4b31_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b30"
bottom: "res4b31_branch2c"
top: "res4b31"
name: "res4b31"
type: "Eltwise"
}
layer {
bottom: "res4b31"
top: "res4b31"
name: "res4b31_relu"
type: "ReLU"
}
layer {
bottom: "res4b31"
top: "res4b32_branch2a"
name: "res4b32_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b32_branch2a"
top: "res4b32_branch2a"
name: "bn4b32_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b32_branch2a"
top: "res4b32_branch2a"
name: "scale4b32_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b32_branch2a"
bottom: "res4b32_branch2a"
name: "res4b32_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b32_branch2a"
top: "res4b32_branch2b"
name: "res4b32_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b32_branch2b"
top: "res4b32_branch2b"
name: "bn4b32_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b32_branch2b"
top: "res4b32_branch2b"
name: "scale4b32_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b32_branch2b"
bottom: "res4b32_branch2b"
name: "res4b32_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b32_branch2b"
top: "res4b32_branch2c"
name: "res4b32_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b32_branch2c"
top: "res4b32_branch2c"
name: "bn4b32_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b32_branch2c"
top: "res4b32_branch2c"
name: "scale4b32_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b31"
bottom: "res4b32_branch2c"
top: "res4b32"
name: "res4b32"
type: "Eltwise"
}
layer {
bottom: "res4b32"
top: "res4b32"
name: "res4b32_relu"
type: "ReLU"
}
layer {
bottom: "res4b32"
top: "res4b33_branch2a"
name: "res4b33_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b33_branch2a"
top: "res4b33_branch2a"
name: "bn4b33_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b33_branch2a"
top: "res4b33_branch2a"
name: "scale4b33_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b33_branch2a"
bottom: "res4b33_branch2a"
name: "res4b33_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b33_branch2a"
top: "res4b33_branch2b"
name: "res4b33_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b33_branch2b"
top: "res4b33_branch2b"
name: "bn4b33_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b33_branch2b"
top: "res4b33_branch2b"
name: "scale4b33_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b33_branch2b"
bottom: "res4b33_branch2b"
name: "res4b33_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b33_branch2b"
top: "res4b33_branch2c"
name: "res4b33_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b33_branch2c"
top: "res4b33_branch2c"
name: "bn4b33_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b33_branch2c"
top: "res4b33_branch2c"
name: "scale4b33_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b32"
bottom: "res4b33_branch2c"
top: "res4b33"
name: "res4b33"
type: "Eltwise"
}
layer {
bottom: "res4b33"
top: "res4b33"
name: "res4b33_relu"
type: "ReLU"
}
layer {
bottom: "res4b33"
top: "res4b34_branch2a"
name: "res4b34_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b34_branch2a"
top: "res4b34_branch2a"
name: "bn4b34_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b34_branch2a"
top: "res4b34_branch2a"
name: "scale4b34_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b34_branch2a"
bottom: "res4b34_branch2a"
name: "res4b34_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b34_branch2a"
top: "res4b34_branch2b"
name: "res4b34_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b34_branch2b"
top: "res4b34_branch2b"
name: "bn4b34_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b34_branch2b"
top: "res4b34_branch2b"
name: "scale4b34_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b34_branch2b"
bottom: "res4b34_branch2b"
name: "res4b34_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b34_branch2b"
top: "res4b34_branch2c"
name: "res4b34_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b34_branch2c"
top: "res4b34_branch2c"
name: "bn4b34_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b34_branch2c"
top: "res4b34_branch2c"
name: "scale4b34_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b33"
bottom: "res4b34_branch2c"
top: "res4b34"
name: "res4b34"
type: "Eltwise"
}
layer {
bottom: "res4b34"
top: "res4b34"
name: "res4b34_relu"
type: "ReLU"
}
layer {
bottom: "res4b34"
top: "res4b35_branch2a"
name: "res4b35_branch2a"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b35_branch2a"
top: "res4b35_branch2a"
name: "bn4b35_branch2a"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b35_branch2a"
top: "res4b35_branch2a"
name: "scale4b35_branch2a"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b35_branch2a"
bottom: "res4b35_branch2a"
name: "res4b35_branch2a_relu"
type: "ReLU"
}
layer {
bottom: "res4b35_branch2a"
top: "res4b35_branch2b"
name: "res4b35_branch2b"
type: "Convolution"
convolution_param {
num_output: 256
kernel_size: 3
pad: 1
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b35_branch2b"
top: "res4b35_branch2b"
name: "bn4b35_branch2b"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b35_branch2b"
top: "res4b35_branch2b"
name: "scale4b35_branch2b"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
top: "res4b35_branch2b"
bottom: "res4b35_branch2b"
name: "res4b35_branch2b_relu"
type: "ReLU"
}
layer {
bottom: "res4b35_branch2b"
top: "res4b35_branch2c"
name: "res4b35_branch2c"
type: "Convolution"
convolution_param {
num_output: 1024
kernel_size: 1
pad: 0
stride: 1
bias_term: false
}
}
layer {
bottom: "res4b35_branch2c"
top: "res4b35_branch2c"
name: "bn4b35_branch2c"
type: "BatchNorm"
batch_norm_param {
use_global_stats: true
}
}
layer {
bottom: "res4b35_branch2c"
top: "res4b35_branch2c"
name: "scale4b35_branch2c"
type: "Scale"
scale_param {
bias_term: true
}
}
layer {
bottom: "res4b34"
bottom: "res4b35_branch2c"
top: "res4b35"
name: "res4b35"
type: "Eltwise"
}
layer {
bottom: "res4b35"
top: "res4b35"
name: "res4b35_relu"
type: "ReLU"
}
layer {
bottom: "res4b35"
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: "res4b35"
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 {
top: "res5a_branch2a"
bottom: "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 {
top: "res5a_branch2b"
bottom: "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 {
top: "res5b_branch2a"
bottom: "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 {
top: "res5b_branch2b"
bottom: "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 {
top: "res5c_branch2a"
bottom: "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 {
top: "res5c_branch2b"
bottom: "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 {
bottom: "pool5"
top: "fc1000"
name: "fc1000"
type: "InnerProduct"
inner_product_param {
num_output: 1000
}
}
layer {
bottom: "fc1000"
top: "prob"
name: "prob"
type: "Softmax"
}
