Created
April 22, 2020 09:00
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name: "RESNET_Mask-RCNN" | |
input: "data" | |
input_dim: 1 | |
input_dim: 3 | |
input_dim: 224 | |
input_dim: 224 | |
input: "rois" | |
input_dim: 1 # to be changed on-the-fly to num ROIs | |
input_dim: 5 # [batch ind, x1, y1, x2, y2] zero-based indexing | |
input_dim: 1 | |
input_dim: 1 | |
input: "labels" | |
input_dim: 1 # to be changed on-the-fly to match num ROIs | |
input_dim: 1 | |
input_dim: 1 | |
input_dim: 1 | |
input: "bbox_targets" | |
input_dim: 1 # to be changed on-the-fly to match num ROIs | |
input_dim: 324 # 4 * (K+1) (=81) classes | |
input_dim: 1 | |
input_dim: 1 | |
input: "bbox_loss_weights" | |
input_dim: 1 # to be changed on-the-fly to match num ROIs | |
input_dim: 324 # 4 * (K+1) (=81) classes | |
input_dim: 1 | |
input_dim: 1 | |
input: "mask_targets" | |
input_dim: 1 #to be changed on-the-fly to match num ROIs | |
input_dim: 81 | |
input_dim: 28 | |
input_dim: 28 | |
layer { | |
bottom: "data" | |
top: "conv1" | |
name: "conv1" | |
type: "Convolution" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 64 | |
kernel_size: 7 | |
pad: 3 | |
stride: 2 | |
} | |
} | |
layer { | |
bottom: "conv1" | |
top: "conv1" | |
name: "bn_conv1" | |
type: "BatchNorm" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "conv1" | |
top: "conv1" | |
name: "scale_conv1" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch1" | |
top: "res2a_branch1" | |
name: "scale2a_branch1" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "pool1" | |
top: "res2a_branch2a" | |
name: "res2a_branch2a" | |
type: "Convolution" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2a" | |
top: "res2a_branch2a" | |
name: "scale2a_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2b" | |
top: "res2a_branch2b" | |
name: "scale2a_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2a_branch2c" | |
top: "res2a_branch2c" | |
name: "scale2a_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2a" | |
top: "res2b_branch2a" | |
name: "scale2b_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2b" | |
top: "res2b_branch2b" | |
name: "scale2b_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2b_branch2c" | |
top: "res2b_branch2c" | |
name: "scale2b_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2a" | |
top: "res2c_branch2a" | |
name: "scale2c_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2b" | |
top: "res2c_branch2b" | |
name: "scale2c_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res2c_branch2c" | |
top: "res2c_branch2c" | |
name: "scale2c_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch1" | |
top: "res3a_branch1" | |
name: "scale3a_branch1" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res2c" | |
top: "res3a_branch2a" | |
name: "res3a_branch2a" | |
type: "Convolution" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2a" | |
top: "res3a_branch2a" | |
name: "scale3a_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2b" | |
top: "res3a_branch2b" | |
name: "scale3a_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3a_branch2c" | |
top: "res3a_branch2c" | |
name: "scale3a_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2a" | |
top: "res3b_branch2a" | |
name: "scale3b_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2b" | |
top: "res3b_branch2b" | |
name: "scale3b_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3b_branch2c" | |
top: "res3b_branch2c" | |
name: "scale3b_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2a" | |
top: "res3c_branch2a" | |
name: "scale3c_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2b" | |
top: "res3c_branch2b" | |
name: "scale3c_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3c_branch2c" | |
top: "res3c_branch2c" | |
name: "scale3c_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2a" | |
top: "res3d_branch2a" | |
name: "scale3d_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2b" | |
top: "res3d_branch2b" | |
name: "scale3d_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res3d_branch2c" | |
top: "res3d_branch2c" | |
name: "scale3d_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch1" | |
top: "res4a_branch1" | |
name: "scale4a_branch1" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res3d" | |
top: "res4a_branch2a" | |
name: "res4a_branch2a" | |
type: "Convolution" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2a" | |
top: "res4a_branch2a" | |
name: "scale4a_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2b" | |
top: "res4a_branch2b" | |
name: "scale4a_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4a_branch2c" | |
top: "res4a_branch2c" | |
name: "scale4a_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2a" | |
top: "res4b_branch2a" | |
name: "scale4b_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2b" | |
top: "res4b_branch2b" | |
name: "scale4b_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4b_branch2c" | |
top: "res4b_branch2c" | |
name: "scale4b_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2a" | |
top: "res4c_branch2a" | |
name: "scale4c_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2b" | |
top: "res4c_branch2b" | |
name: "scale4c_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4c_branch2c" | |
top: "res4c_branch2c" | |
name: "scale4c_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2a" | |
top: "res4d_branch2a" | |
name: "scale4d_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2b" | |
top: "res4d_branch2b" | |
name: "scale4d_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4d_branch2c" | |
top: "res4d_branch2c" | |
name: "scale4d_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2a" | |
top: "res4e_branch2a" | |
name: "scale4e_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2b" | |
top: "res4e_branch2b" | |
name: "scale4e_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4e_branch2c" | |
top: "res4e_branch2c" | |
name: "scale4e_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2a" | |
top: "res4f_branch2a" | |
name: "scale4f_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2b" | |
top: "res4f_branch2b" | |
name: "scale4f_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res4f_branch2c" | |
top: "res4f_branch2c" | |
name: "scale4f_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch1" | |
top: "res5a_branch1" | |
name: "scale5a_branch1" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res4f" | |
top: "res5a_branch2a" | |
name: "res5a_branch2a" | |
type: "Convolution" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2a" | |
top: "res5a_branch2a" | |
name: "scale5a_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2b" | |
top: "res5a_branch2b" | |
name: "scale5a_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5a_branch2c" | |
top: "res5a_branch2c" | |
name: "scale5a_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2a" | |
name: "scale5b_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2a" | |
name: "res5b_branch2a_relu" | |
type: "ReLU" | |
} | |
#Learning starts here | |
layer { | |
bottom: "res5b_branch2a" | |
top: "res5b_branch2b" | |
name: "res5b_branch2b" | |
type: "Convolution" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2b" | |
top: "res5b_branch2b" | |
name: "scale5b_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5b_branch2c" | |
top: "res5b_branch2c" | |
name: "scale5b_branch2c" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2a" | |
top: "res5c_branch2a" | |
name: "scale5c_branch2a" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
bottom: "res5c_branch2b" | |
top: "res5c_branch2b" | |
name: "scale5c_branch2b" | |
type: "Scale" | |
param { | |
lr_mult: 0.0 | |
} | |
param { | |
lr_mult: 0.0 | |
} | |
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" | |
param { | |
lr_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 2048 | |
kernel_size: 1 | |
pad: 0 | |
stride: 1 | |
bias_term: false | |
} | |
} | |
#---------------ROIPool -------------------------- | |
# | |
#layer { | |
# bottom: "res5c_branch2c" | |
# bottom: "rois" | |
# top: "roi_pool" | |
# name: "roi_pool" | |
# type: "ROIPooling" | |
# roi_pooling_param { | |
# pooled_w: 7 | |
# pooled_h: 7 | |
# spatial_scale: 0.0312 # (1/32) | |
# } | |
#} | |
#---------------ROIAlign -------------------------- | |
layer { | |
bottom: "res5c_branch2c" | |
bottom: "rois" | |
top: "align" | |
name: "align" | |
type: "ROIAlign" | |
roi_align_param { | |
pooled_w: 7 | |
pooled_h: 7 | |
spatial_scale: 0.0312 # (1/32) | |
} | |
} | |
#---------------Mask Branch -------------------------- | |
layer { | |
bottom: "align" | |
top: "conv_mask1" | |
name: "conv_mask1" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
pad: 1 | |
kernel_size: 3 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'conv_mask1' | |
top: 'conv_mask1-bn' | |
name: 'conv_mask1-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "conv_mask1-bn" | |
top: "conv_mask1-bn" | |
name: "scale_conv_mask1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv_mask1-bn" | |
top: "conv_mask1-bn" | |
name: "relu_conv1" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv_mask1-bn" | |
top: "conv_mask1-bn" | |
name: "drop_conv1" | |
type: "Dropout" | |
dropout_param { | |
dropout_ratio: 0.5 | |
} | |
} | |
layer { | |
bottom: "conv_mask1-bn" | |
top: "deconv_mask1" | |
name: "deconv_mask1" | |
param { | |
lr_mult: 1.0 | |
} | |
type: "Deconvolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 2 | |
stride: 2 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'deconv_mask1' | |
top: 'deconv_mask1-bn' | |
name: 'deconv_mask1-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "deconv_mask1-bn" | |
top: "deconv_mask1-bn" | |
name: "scale_deconv_mask1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "deconv_mask1-bn" | |
top: "deconv_mask1-bn" | |
name: "relu_deconv1" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "deconv_mask1-bn" | |
top: "conv_mask2" | |
name: "conv_mask2" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
pad: 1 | |
kernel_size: 3 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'conv_mask2' | |
top: 'conv_mask2-bn' | |
name: 'conv_mask2-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "conv_mask2-bn" | |
top: "conv_mask2-bn" | |
name: "scale_conv_mask2" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv_mask2-bn" | |
top: "conv_mask2-bn" | |
name: "relu_conv2" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv_mask2-bn" | |
top: "conv_mask2-bn" | |
name: "drop_conv2" | |
type: "Dropout" | |
dropout_param { | |
dropout_ratio: 0.5 | |
} | |
} | |
layer { | |
bottom: "conv_mask2-bn" | |
top: "conv_mask3" | |
name: "conv_mask3" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
pad: 1 | |
kernel_size: 3 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'conv_mask3' | |
top: 'conv_mask3-bn' | |
name: 'conv_mask3-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "conv_mask3-bn" | |
top: "conv_mask3-bn" | |
name: "scale_conv_mask3" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv_mask3-bn" | |
top: "conv_mask3-bn" | |
name: "relu_conv3" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv_mask3-bn" | |
top: "conv_mask4" | |
name: "conv_mask4" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
pad: 1 | |
kernel_size: 3 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'conv_mask4' | |
top: 'conv_mask4-bn' | |
name: 'conv_mask4-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "conv_mask4-bn" | |
top: "conv_mask4-bn" | |
name: "scale_conv_mask4" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv_mask4-bn" | |
top: "conv_mask4-bn" | |
name: "relu_conv4" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv_mask4-bn" | |
top: "conv_mask5" | |
name: "conv_mask5" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "Convolution" | |
convolution_param { | |
num_output: 256 | |
pad: 1 | |
kernel_size: 3 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'conv_mask5' | |
top: 'conv_mask5-bn' | |
name: 'conv_mask5-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "conv_mask5-bn" | |
top: "conv_mask5-bn" | |
name: "scale_conv_mask5" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "conv_mask5-bn" | |
top: "conv_mask5-bn" | |
name: "relu_conv5" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "conv_mask5-bn" | |
top: "deconv_mask2" | |
name: "deconv_mask2" | |
param { | |
lr_mult: 1.0 | |
} | |
type: "Deconvolution" | |
convolution_param { | |
num_output: 256 | |
kernel_size: 2 | |
stride: 2 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
layer { | |
bottom: 'deconv_mask2' | |
top: 'deconv_mask2-bn' | |
name: 'deconv_mask2-bn' | |
type: 'BatchNorm' | |
batch_norm_param { | |
use_global_stats: false | |
} | |
} | |
layer { | |
bottom: "deconv_mask2-bn" | |
top: "deconv_mask2-bn" | |
name: "scale_deconv_mask1" | |
type: "Scale" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
bottom: "deconv_mask2-bn" | |
top: "deconv_mask2-bn" | |
name: "relu_deconv2" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "deconv_mask2-bn" | |
top: "conv_mask6" | |
name: "conv_mask6" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "Convolution" | |
convolution_param { | |
num_output: 81 | |
pad: 1 | |
kernel_size: 3 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" # initialize the biases to zero (0) | |
value: 0 | |
} | |
} | |
} | |
#---------------FC Branch -------------------------- | |
layer { | |
bottom: "align" | |
top: "fc6" | |
name: "fc6" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "InnerProduct" | |
inner_product_param { | |
num_output: 4096 | |
} | |
} | |
layer { | |
bottom: "fc6" | |
top: "fc6" | |
name: "relu6" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "fc6" | |
top: "fc6" | |
name: "drop6" | |
type: "Dropout" | |
dropout_param { | |
dropout_ratio: 0.5 | |
} | |
} | |
layer { | |
bottom: "fc6" | |
top: "fc7" | |
name: "fc7" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "InnerProduct" | |
inner_product_param { | |
num_output: 4096 | |
} | |
} | |
layer { | |
bottom: "fc7" | |
top: "fc7" | |
name: "relu7" | |
type: "ReLU" | |
} | |
layer { | |
bottom: "fc7" | |
top: "fc7" | |
name: "drop7" | |
type: "Dropout" | |
dropout_param { | |
dropout_ratio: 0.5 | |
} | |
} | |
#---------------Class Prediction Branch -------------------------- | |
layer { | |
bottom: "fc7" | |
top: "cls_score" | |
name: "cls_score" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
type: "InnerProduct" | |
inner_product_param { | |
num_output: 81 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0 | |
} | |
} | |
} | |
#---------------Bounding Box Prediction Branch -------------------------- | |
layer { | |
bottom: "fc7" | |
top: "bbox_pred" | |
name: "bbox_pred" | |
type: "InnerProduct" | |
param { | |
lr_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
} | |
inner_product_param { | |
num_output: 324 | |
weight_filler { | |
type: "gaussian" | |
std: 0.001 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0 | |
} | |
} | |
} | |
#---------------Class Loss -------------------------- | |
layer { | |
name: "loss" | |
type: "SoftmaxWithLoss" | |
bottom: "cls_score" | |
bottom: "labels" | |
top: "loss_cls" | |
loss_weight: 1 | |
} | |
layer { | |
name: "accuarcy" | |
type: "Accuracy" | |
bottom: "cls_score" | |
bottom: "labels" | |
top: "accuarcy" | |
} | |
#---------------BB Loss -------------------------- | |
layer { | |
name: "loss_bbox" | |
type: "SmoothL1Loss" | |
bottom: "bbox_pred" | |
bottom: "bbox_targets" | |
bottom: "bbox_loss_weights" | |
top: "loss_bbox" | |
loss_weight: 1 | |
} | |
#---------------Mask Loss -------------------------- | |
layer { | |
name: "loss_mask" | |
type: "SigmoidCrossEntropyLoss" | |
bottom: "conv_mask6" | |
bottom: "mask_targets" | |
top: "loss_mask" | |
loss_weight: 1 | |
loss_param { | |
ignore_label: -1 | |
} | |
} | |
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