How to generate the lmdb from VOC2012 data (raw image, path)?

[john1...@gmail.com]

Hello all, I am using ParseNet code. It used the LMDB file with two inputs: `VOC2012ext_train_aug_img_lmdb` and `VOC2012ext_train_aug_label_lmdb`. However, my VOC2012 database has only the jpg image locate at  `/media/john/pascal/VOCdevkit/VOC2012` and txt files (train.txt and val.txt) at `/media/john/pascal/VOCdevkit/VOC2012_train_val_list`. Hence, I must modify the the script /caffe/examples/imagenet/create_imagenet.sh to generate these lmdb file as

set -e

EXAMPLE=/home/john/caffe/examples/imagenet
DATA=/media/john/pascal/VOCdevkit/VOC2012_train_val_list
TOOLS=../../build/tools

TRAIN_DATA_ROOT=/media/john/pascal/VOCdevkit/VOC2012
VAL_DATA_ROOT=/media/john/pascal/VOCdevkit/VOC2012
# Set RESIZE=true to resize the images to 256x256. Leave as false if images have
# already been resized using another tool.
RESIZE=false
if $RESIZE; then
  RESIZE_HEIGHT=256
  RESIZE_WIDTH=256
else
  RESIZE_HEIGHT=0
  RESIZE_WIDTH=0
fi


if [ ! -d "$TRAIN_DATA_ROOT" ]; then
  echo "Error: TRAIN_DATA_ROOT is not a path to a directory: $TRAIN_DATA_ROOT"
  echo "Set the TRAIN_DATA_ROOT variable in create_imagenet.sh to the path" \
       "where the ImageNet training data is stored."
  exit 1
fi


if [ ! -d "$VAL_DATA_ROOT" ]; then
  echo "Error: VAL_DATA_ROOT is not a path to a directory: $VAL_DATA_ROOT"
  echo "Set the VAL_DATA_ROOT variable in create_imagenet.sh to the path" \
       "where the ImageNet validation data is stored."
  exit 1
fi


echo "Creating train lmdb..."


GLOG_logtostderr=1 $TOOLS/convert_imageset \
    --resize_height=$RESIZE_HEIGHT \
    --resize_width=$RESIZE_WIDTH \
    --shuffle \
    $TRAIN_DATA_ROOT \
    $DATA/train.txt \
    $EXAMPLE/ilsvrc12_train_lmdb
echo "Done."

Finally,  I got two outputs as: `data.mdb` and `lock.mdb`.  My question is Is it correct steps to generate lmdb file from JPEG and its path? In my outputs, Which one corresponding is to VOC2012ext_train_aug_img_lmdb and which one is corresponding to VOC2012ext_train_aug_label_lmdb of prototxt (bellow)? Thank you 

name: "VGG_VOC2012ext"
layer {
  name: "data"
  type: "Data"
  top: "data"
  include {
    phase: TRAIN
  }

  transform_param {
    mean_value: 104.00699
    mean_value: 116.66877
    mean_value: 122.67892
  }

  data_param {
    source: "examples/VOC2012ext/VOC2012ext_train_aug_img_lmdb"
    batch_size: 1
    backend: LMDB
  }
}
layer {
  name: "label"
  type: "Data"
  top: "label"
  include {
    phase: TRAIN
  }

  data_param {
    source: "examples/VOC2012ext/VOC2012ext_train_aug_label_lmdb"
    batch_size: 1
    backend: LMDB
  }

}