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train_test_mobileNetv2.prototxt
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train_test_mobileNetv2.prototxt
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name: "mobilenetv2_4_bottleneck"
layer {
name: "data"
type: "ImageData"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
mirror: true
mean_value: 103.939
mean_value: 116.779
mean_value: 123.68
}
image_data_param {
source: "data/car_classification/train.txt"
shuffle: true
batch_size: 32
new_height: 240
new_width: 420
root_folder: "/home/liuli/caffe-ssd/data/car_classification/train-org/"
}
}
layer {
name: "data"
type: "ImageData"
top: "data"
top: "label"
include {
phase: TEST
stage: "test-on-test"
}
transform_param {
mirror: true
mean_value: 103.939
mean_value: 116.779
mean_value: 123.68
}
image_data_param {
source: "data/car_classification/test.txt"
shuffle: true
batch_size: 32
new_height: 240
new_width: 420
root_folder: "/home/liuli/caffe-ssd/data/car_classification/pingce-org/"
}
}
layer {
name: "conv1_new_1"
type: "Convolution"
bottom: "data"
top: "conv1_new_1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn_new_1"
type: "BatchNorm"
bottom: "conv1_new_1"
top: "conv1_new_1"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1/bn_new_1"
type: "BatchNorm"
bottom: "conv1_new_1"
top: "conv1_new_1"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1/scale_new_1"
type: "Scale"
bottom: "conv1_new_1"
top: "conv1_new_1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_new_1"
type: "ReLU"
bottom: "conv1_new_1"
top: "conv1_new_1"
}
##################################################################
layer {
name: "conv1_new_2"
type: "Convolution"
bottom: "conv1_new_1"
top: "conv1_new_2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn_new_2"
type: "BatchNorm"
bottom: "conv1_new_2"
top: "conv1_new_2"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1/bn_new_2"
type: "BatchNorm"
bottom: "conv1_new_2"
top: "conv1_new_2"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1/scale_new_2"
type: "Scale"
bottom: "conv1_new_2"
top: "conv1_new_2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_new_2"
type: "ReLU"
bottom: "conv1_new_2"
top: "conv1_new_2"
}
##################################################################
layer {
name: "conv1_new_3"
type: "Convolution"
bottom: "conv1_new_2"
top: "conv1_new_3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn_new_3"
type: "BatchNorm"
bottom: "conv1_new_3"
top: "conv1_new_3"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1/bn_new_3"
type: "BatchNorm"
bottom: "conv1_new_3"
top: "conv1_new_3"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1/scale_new_3"
type: "Scale"
bottom: "conv1_new_3"
top: "conv1_new_3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_new_3"
type: "ReLU"
bottom: "conv1_new_3"
top: "conv1_new_3"
}
##################################################################
layer {
name: "conv1_1/in/sep_new"
type: "Convolution"
bottom: "conv1_new_3"
top: "conv1_1/in/sep_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_1/in/sep/bn_new"
type: "BatchNorm"
bottom: "conv1_1/in/sep_new"
top: "conv1_1/in/sep_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1_1/in/sep/bn_new"
type: "BatchNorm"
bottom: "conv1_1/in/sep_new"
top: "conv1_1/in/sep_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1_1/in/sep/scale_new"
type: "Scale"
bottom: "conv1_1/in/sep_new"
top: "conv1_1/in/sep_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_1/in/sep_new"
type: "ReLU"
bottom: "conv1_1/in/sep_new"
top: "conv1_1/in/sep_new"
}
layer {
name: "conv1_1/dw_new"
type: "ConvolutionDepthwise"
bottom: "conv1_1/in/sep_new"
top: "conv1_1/dw_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_1/dw/bn_new"
type: "BatchNorm"
bottom: "conv1_1/dw_new"
top: "conv1_1/dw_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1_1/dw/bn_new"
type: "BatchNorm"
bottom: "conv1_1/dw_new"
top: "conv1_1/dw_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1_1/dw/scale_new"
type: "Scale"
bottom: "conv1_1/dw_new"
top: "conv1_1/dw_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_1/dw_new"
type: "ReLU"
bottom: "conv1_1/dw_new"
top: "conv1_1/dw_new"
}
layer {
name: "conv1_1/out/sep_new"
type: "Convolution"
bottom: "conv1_1/dw_new"
top: "conv1_1/out/sep_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 16
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_1/out/sep/bn_new"
type: "BatchNorm"
bottom: "conv1_1/out/sep_new"
top: "conv1_1/out/sep_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1_1/out/sep/bn_new"
type: "BatchNorm"
bottom: "conv1_1/out/sep_new"
top: "conv1_1/out/sep_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1_1/out/sep/scale_new"
type: "Scale"
bottom: "conv1_1/out/sep_new"
top: "conv1_1/out/sep_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
##################################################################
layer {
name: "conv2_1/in/sep_new"
type: "Convolution"
bottom: "conv1_1/out/sep_new"
top: "conv2_1/in/sep_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 96
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/in/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_1/in/sep_new"
top: "conv2_1/in/sep_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_1/in/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_1/in/sep_new"
top: "conv2_1/in/sep_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_1/in/sep/scale_new"
type: "Scale"
bottom: "conv2_1/in/sep_new"
top: "conv2_1/in/sep_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_1/in/sep_new"
type: "ReLU"
bottom: "conv2_1/in/sep_new"
top: "conv2_1/in/sep_new"
}
layer {
name: "conv2_1/dw_new"
type: "ConvolutionDepthwise"
bottom: "conv2_1/in/sep_new"
top: "conv2_1/dw_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 96
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/dw/bn_new"
type: "BatchNorm"
bottom: "conv2_1/dw_new"
top: "conv2_1/dw_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_1/dw/bn_new"
type: "BatchNorm"
bottom: "conv2_1/dw_new"
top: "conv2_1/dw_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_1/dw/scale_new"
type: "Scale"
bottom: "conv2_1/dw_new"
top: "conv2_1/dw_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_1/dw_new"
type: "ReLU"
bottom: "conv2_1/dw_new"
top: "conv2_1/dw_new"
}
layer {
name: "conv2_1/out/sep_new"
type: "Convolution"
bottom: "conv2_1/dw_new"
top: "conv2_1/out/sep_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 24
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/out/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_1/out/sep_new"
top: "conv2_1/out/sep_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_1/out/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_1/out/sep_new"
top: "conv2_1/out/sep_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_1/out/sep/scale_new"
type: "Scale"
bottom: "conv2_1/out/sep_new"
top: "conv2_1/out/sep_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2_2/in/sep_new"
type: "Convolution"
bottom: "conv2_1/out/sep_new"
top: "conv2_2/in/sep_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 144
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/in/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_2/in/sep_new"
top: "conv2_2/in/sep_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_2/in/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_2/in/sep_new"
top: "conv2_2/in/sep_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_2/in/sep/scale_new"
type: "Scale"
bottom: "conv2_2/in/sep_new"
top: "conv2_2/in/sep_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_2/in/sep_new"
type: "ReLU"
bottom: "conv2_2/in/sep_new"
top: "conv2_2/in/sep_new"
}
layer {
name: "conv2_2/dw_new"
type: "ConvolutionDepthwise"
bottom: "conv2_2/in/sep_new"
top: "conv2_2/dw_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 144
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/dw/bn_new"
type: "BatchNorm"
bottom: "conv2_2/dw_new"
top: "conv2_2/dw_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_2/dw/bn_new"
type: "BatchNorm"
bottom: "conv2_2/dw_new"
top: "conv2_2/dw_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_2/dw/scale_new"
type: "Scale"
bottom: "conv2_2/dw_new"
top: "conv2_2/dw_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_2/dw_new"
type: "ReLU"
bottom: "conv2_2/dw_new"
top: "conv2_2/dw_new"
}
layer {
name: "conv2_2/out/sep_new"
type: "Convolution"
bottom: "conv2_2/dw_new"
top: "conv2_2/out/sep_new"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 24
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/out/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_2/out/sep_new"
top: "conv2_2/out/sep_new"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_2/out/sep/bn_new"
type: "BatchNorm"
bottom: "conv2_2/out/sep_new"
top: "conv2_2/out/sep_new"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_2/out/sep/scale_new"
type: "Scale"
bottom: "conv2_2/out/sep_new"
top: "conv2_2/out/sep_new"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "fuse_conv2_2"
type: "Eltwise"
bottom: "conv2_1/out/sep_new"
bottom: "conv2_2/out/sep_new"
top: "fuse_conv2_2"
eltwise_param {
operation: SUM
}
}
###############################################
layer {
name: "conv3_1/in/sep_new"