7.caffe：create_lmdb.sh（数据预处理转换成lmdb格式）

个人实践代码如下：

#!/usr/bin/env sh
# Create the imagenet lmdb inputs
# N.B. set the path to the imagenet train + val data dirs
set -e

EXAMPLE=/home/wp/CAFFE/caffe-master/myself/00b
DATA=/home/wp/CAFFE/caffe-master/myself/00b
TOOLS=build/tools

TRAIN_DATA_ROOT=/home/wp/CAFFE/caffe-master/myself/00b/train/
VAL_DATA_ROOT=/home/wp/CAFFE/caffe-master/myself/00b/val/

# Set RESIZE=true to resize the images to 256x256. Leave as false if images have
# already been resized using another tool.
RESIZE=true
if $RESIZE; then
  RESIZE_HEIGHT=101
  RESIZE_WIDTH=101
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/00b_train_lmdb

echo "Creating val lmdb..."

GLOG_logtostderr=1 $TOOLS/convert_imageset 
    --resize_height=$RESIZE_HEIGHT 
    --resize_width=$RESIZE_WIDTH 
    --shuffle 
    $VAL_DATA_ROOT 
    $DATA/val.txt 
    $EXAMPLE/00b_val_lmdb

echo "Done."

# cd CAFFE/caffe-master
# sh ./myself/00b/create_lmdb.sh

结果生成两个文件：00b_train_lmdb.sh; 00b_val_lmdb.sh

参考一：

由于参数比较多，因此我们可以编写一个sh脚本来执行命令：

首先，创建sh脚本文件：

# sudo vi examples/images/create_lmdb.sh

编辑，输入下面的代码并保存

[cpp]

#!/usr/bin/en sh
DATA=examples/images
rm -rf $DATA/img_train_lmdb
build/tools/convert_imageset --shuffle 
--resize_height=256 --resize_width=256 
/home/xxx/caffe/examples/images/ $DATA/train.txt  $DATA/img_train_lmdb

注释：/convert_imageset --shuffle //使用shuffle

--resize_height=256 --resize_width=256 //图片的大小都会调用opencv来获得固定的大小
/opt/modules/caffe-master/examples/images/ // 图片的绝对存储路径
/opt/modules/caffe-master/examples/images/train.txt // 文件的列表信息
/opt/modules/caffe-master/examples/images/img_train_lmdb //最终生成的数据库保存的路径

设置参数-shuffle,打乱图片顺序。设置参数-resize_height和-resize_width将所有图片尺寸都变为256*256.

/home/xxx/caffe/examples/images/ 为图片保存的绝对路径。

最后，运行这个脚本文件

[cpp]

# sudo sh examples/images/create_lmdb.sh

就会在examples/images/ 目录下生成一个名为 img_train_lmdb的文件夹，里面的文件就是我们需要的db文件了。

上面就将图像数据转换成db（leveldb/lmdb)文件了。

参考二：

create_filelist.sh后接着再编写一个脚本文件create_lmdb.sh，调用convert_imageset命令来转换数据格式。

# sudo vi examples/myfile/create_lmdb.sh

插入：

#!/usr/bin/env sh
MY=examples/myfile

echo "Create train lmdb.."
rm -rf $MY/img_train_lmdb
build/tools/convert_imageset 
--shuffle 
--resize_height=256 
--resize_width=256 
/home/xxx/caffe/data/re/ 
$MY/train.txt 
$MY/img_train_lmdb

echo "Create test lmdb.."
rm -rf $MY/img_test_lmdb
build/tools/convert_imageset 
--shuffle 
--resize_width=256 
--resize_height=256 
/home/xxx/caffe/data/re/ 
$MY/test.txt 
$MY/img_test_lmdb

echo "All Done.."