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#!/usr/bin/env sh | |
# Create the imagenet lmdb inputs | |
# N.B. set the path to the imagenet train + val data dirs | |
EXAMPLE=examples/imagenet | |
DATA=data/People-Art | |
TOOLS=build/tools | |
TRAIN_DATA_ROOT=/home/ubuntu/caffe/data/People-Art/JPEGImages/ | |
VAL_DATA_ROOT=/home/ubuntu/caffe/data/People-Art/JPEGImages/ | |
# 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/people-art_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/people-art_val_lmdb | |
echo "Done." |
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