4_create_data.sh

cur_dir=$(cd $( dirname ${BASH_SOURCE[0]} ) && pwd )

# 0, first should prepare the ./data/test.txt ./data/trainval.txt files,
#    which contains the full path both of jpg and xml on each line
# 1, generate the trainval and test lmdb,
#   and save them to /data_root_dir/dataset_name/lmdb/
# 2, create softlink fo uper trainval and test lmdb to ./data/dataset_name
redo=1
data_root_dir="/apps/liusj"
dataset_name="testLabelImgs"
mapfile="./data/labelmap_voc.prototxt"
anno_type="detection"

db="lmdb"
lmdb_path=$data_root_dir/$dataset_name/$db
lmdb_softlink_path=data/$dataset_name
min_dim=0
max_dim=0
width=0
height=0

extra_cmd="--encode-type=jpg --encoded"
if [ $redo ]
then
  extra_cmd="$extra_cmd --redo"
fi
image_root_dir='/'
for subset in test trainval
do
  python create_annoset.py --anno-type='detection' --label-map-file=$mapfile --min-dim=$min_dim --max-dim=$max_dim --resize-width=$width --resize-height=$height --check-label $extra_cmd $image_root_dir ./data/$subset.txt $lmdb_path/$dataset_name"_"$subset"_"$db $lmdb_softlink_path
done