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train_test_mobileNetv1.prototxt
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train_test_mobileNetv1.prototxt
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name: "mobilenetv1_net"
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_1.txt"
shuffle: true
batch_size: 8
new_height: 224
new_width: 224
root_folder: "/home/liuli/caffe-ssd/data/car_classification/train20180517/"
}
}
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_1.txt"
shuffle: true
batch_size: 8
new_height: 224
new_width: 224
root_folder: "/home/liuli/caffe-ssd/data/car_classification/test20180517/"
}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv1/bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv1/scale"
type: "Scale"
bottom: "conv1"
top: "conv1"
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"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
#################################################
layer {
name: "conv2_1/dw"
type: "ConvolutionDepthwise"
bottom: "conv1"
top: "conv2_1/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/dw/bn"
type: "BatchNorm"
bottom: "conv2_1/dw"
top: "conv2_1/dw"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_1/dw/bn"
type: "BatchNorm"
bottom: "conv2_1/dw"
top: "conv2_1/dw"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_1/dw/scale"
type: "Scale"
bottom: "conv2_1/dw"
top: "conv2_1/dw"
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"
type: "ReLU"
bottom: "conv2_1/dw"
top: "conv2_1/dw"
}
##############################################
layer {
name: "conv2_1/sep"
type: "Convolution"
bottom: "conv2_1/dw"
top: "conv2_1/sep"
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: "conv2_1/sep/bn"
type: "BatchNorm"
bottom: "conv2_1/sep"
top: "conv2_1/sep"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_1/sep/bn"
type: "BatchNorm"
bottom: "conv2_1/sep"
top: "conv2_1/sep"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_1/sep/scale"
type: "Scale"
bottom: "conv2_1/sep"
top: "conv2_1/sep"
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/sep"
type: "ReLU"
bottom: "conv2_1/sep"
top: "conv2_1/sep"
}
##################################################################
#################################################
layer {
name: "conv2_2/dw"
type: "ConvolutionDepthwise"
bottom: "conv2_1/sep"
top: "conv2_2/dw"
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: "conv2_2/dw/bn"
type: "BatchNorm"
bottom: "conv2_2/dw"
top: "conv2_2/dw"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_2/dw/bn"
type: "BatchNorm"
bottom: "conv2_2/dw"
top: "conv2_2/dw"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_2/dw/scale"
type: "Scale"
bottom: "conv2_2/dw"
top: "conv2_2/dw"
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"
type: "ReLU"
bottom: "conv2_2/dw"
top: "conv2_2/dw"
}
##############################################
layer {
name: "conv2_2/sep"
type: "Convolution"
bottom: "conv2_2/dw"
top: "conv2_2/sep"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/sep/bn"
type: "BatchNorm"
bottom: "conv2_2/sep"
top: "conv2_2/sep"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv2_2/sep/bn"
type: "BatchNorm"
bottom: "conv2_2/sep"
top: "conv2_2/sep"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv2_2/sep/scale"
type: "Scale"
bottom: "conv2_2/sep"
top: "conv2_2/sep"
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/sep"
type: "ReLU"
bottom: "conv2_2/sep"
top: "conv2_2/sep"
}
##################################################################
#################################################
layer {
name: "conv3_1/dw"
type: "ConvolutionDepthwise"
bottom: "conv2_2/sep"
top: "conv3_1/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_1/dw/bn"
type: "BatchNorm"
bottom: "conv3_1/dw"
top: "conv3_1/dw"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv3_1/dw/bn"
type: "BatchNorm"
bottom: "conv3_1/dw"
top: "conv3_1/dw"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv3_1/dw/scale"
type: "Scale"
bottom: "conv3_1/dw"
top: "conv3_1/dw"
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: "relu3_1/dw"
type: "ReLU"
bottom: "conv3_1/dw"
top: "conv3_1/dw"
}
##############################################
layer {
name: "conv3_1/sep"
type: "Convolution"
bottom: "conv3_1/dw"
top: "conv3_1/sep"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_1/sep/bn"
type: "BatchNorm"
bottom: "conv3_1/sep"
top: "conv3_1/sep"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv3_1/sep/bn"
type: "BatchNorm"
bottom: "conv3_1/sep"
top: "conv3_1/sep"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv3_1/sep/scale"
type: "Scale"
bottom: "conv3_1/sep"
top: "conv3_1/sep"
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: "relu3_1/sep"
type: "ReLU"
bottom: "conv3_1/sep"
top: "conv3_1/sep"
}
##################################################################
#################################################
layer {
name: "conv3_2/dw"
type: "ConvolutionDepthwise"
bottom: "conv3_1/sep"
top: "conv3_2/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_2/dw/bn"
type: "BatchNorm"
bottom: "conv3_2/dw"
top: "conv3_2/dw"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv3_2/dw/bn"
type: "BatchNorm"
bottom: "conv3_2/dw"
top: "conv3_2/dw"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv3_2/dw/scale"
type: "Scale"
bottom: "conv3_2/dw"
top: "conv3_2/dw"
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: "relu3_2/dw"
type: "ReLU"
bottom: "conv3_2/dw"
top: "conv3_2/dw"
}
##############################################
layer {
name: "conv3_2/sep"
type: "Convolution"
bottom: "conv3_2/dw"
top: "conv3_2/sep"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_2/sep/bn"
type: "BatchNorm"
bottom: "conv3_2/sep"
top: "conv3_2/sep"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv3_2/sep/bn"
type: "BatchNorm"
bottom: "conv3_2/sep"
top: "conv3_2/sep"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv3_2/sep/scale"
type: "Scale"
bottom: "conv3_2/sep"
top: "conv3_2/sep"
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: "relu3_2/sep"
type: "ReLU"
bottom: "conv3_2/sep"
top: "conv3_2/sep"
}
##################################################################
#################################################
layer {
name: "conv4_1/dw"
type: "ConvolutionDepthwise"
bottom: "conv3_2/sep"
top: "conv4_1/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv4_1/dw/bn"
type: "BatchNorm"
bottom: "conv4_1/dw"
top: "conv4_1/dw"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv4_1/dw/bn"
type: "BatchNorm"
bottom: "conv4_1/dw"
top: "conv4_1/dw"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv4_1/dw/scale"
type: "Scale"
bottom: "conv4_1/dw"
top: "conv4_1/dw"
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: "relu4_1/dw"
type: "ReLU"
bottom: "conv4_1/dw"
top: "conv4_1/dw"
}
##############################################
layer {
name: "conv4_1/sep"
type: "Convolution"
bottom: "conv4_1/dw"
top: "conv4_1/sep"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv4_1/sep/bn"
type: "BatchNorm"
bottom: "conv4_1/sep"
top: "conv4_1/sep"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv4_1/sep/bn"
type: "BatchNorm"
bottom: "conv4_1/sep"
top: "conv4_1/sep"
include {
phase: TEST
stage: "test-on-test"
}
batch_norm_param {
use_global_stats: true
}
}
layer {
name: "conv4_1/sep/scale"
type: "Scale"
bottom: "conv4_1/sep"
top: "conv4_1/sep"
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: "relu4_1/sep"
type: "ReLU"
bottom: "conv4_1/sep"
top: "conv4_1/sep"
}
##################################################################
#################################################
layer {
name: "conv4_2/dw"
type: "ConvolutionDepthwise"
bottom: "conv4_1/sep"
top: "conv4_2/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv4_2/dw/bn"
type: "BatchNorm"
bottom: "conv4_2/dw"
top: "conv4_2/dw"
include {
phase: TRAIN
}
batch_norm_param {
use_global_stats: false
}
}
layer {
name: "conv4_2/dw/bn"
type: "BatchNorm"