from?__future__?import?print_function
import?caffe
from?caffe.model_libs?import?*
from?google.protobuf?import?text_format

import?math
import?os
import?shutil
import?stat
import?subprocess
import?sys

#?Add?extra?layers?on?top?of?a?“base“?network?（e.g.?VGGNet?or?Inception）.
def?AddExtralayers（net?use_batchnorm=True?lr_mult=1）:
????use_relu?=?True

????#?Add?additional?convolutional?layers.
????#?19?x?19
????from_layer?=?net.keys（）[-1]

????#?TODO（weiliu89）:?Construct?the?name?using?the?last?layer?to?avoid?duplication.
????#?10?x?10
????out_layer?=?“conv6_1“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?256?1?0?1
????????lr_mult=lr_mult）

????from_layer?=?out_layer
????out_layer?=?“conv6_2“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?512?3?1?2
????????lr_mult=lr_mult）

????#?5?x?5
????from_layer?=?out_layer
????out_layer?=?“conv7_1“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?128?1?0?1
??????lr_mult=lr_mult）

????from_layer?=?out_layer
????out_layer?=?“conv7_2“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?256?3?1?2
??????lr_mult=lr_mult）

????#?3?x?3
????from_layer?=?out_layer
????out_layer?=?“conv8_1“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?128?1?0?1
??????lr_mult=lr_mult）

????from_layer?=?out_layer
????out_layer?=?“conv8_2“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?256?3?0?1
??????lr_mult=lr_mult）

????#?1?x?1
????from_layer?=?out_layer
????out_layer?=?“conv9_1“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?128?1?0?1
??????lr_mult=lr_mult）

????from_layer?=?out_layer
????out_layer?=?“conv9_2“
????ConvBNlayer（net?from_layer?out_layer?use_batchnorm?use_relu?256?3?0?1
??????lr_mult=lr_mult）

????return?net


###?Modify?the?following?parameters?accordingly?###
#?Notice:?we?do?evaluation?by?setting?the?solver?parameters?approximately.
#?The?reason?that?we?do?not?use?./build/tools/caffe?test?...?is?because?it
#?only?supports?testing?for?classification?problem?now.
#?The?directory?which?contains?the?caffe?code.
#?We?assume?you?are?running?the?script?at?the?CAFFE_ROOT.
caffe_root?=?os.getcwd（）

#?Set?true?if?you?want?to?start?training?right?after?generating?all?files.
run_soon?=?True

#?The?database?file?for?training?data.?Created?by?data/VOC0712/create_data.sh
train_data?=?“examples/VOC0712/VOC0712_trainval_lmdb“
#?The?database?file?for?testing?data.?Created?by?data/VOC0712/create_data.sh
test_data?=?“examples/VOC0712/VOC0712_test_lmdb“
#?Specify?the?batch?sampler.
resize_width?=?300
resize_height?=?300
resize?=?“{}x{}“.format（resize_width?resize_height）
batch_sampler?=?[
????????{
????????????????‘sampler‘:?{
????????????????????????}
????????????????‘max_trials‘:?1
????????????????‘max_sample‘:?1
????????}
????????{
????????????????‘sampler‘:?{
????????????????????????‘min_scale‘:?0.3
????????????????????????‘max_scale‘:?1.0
??????