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 "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/ilsvrc12_val_lmdb
echo "Done."
and this make_imagenet_mean.sh script
!/usr/bin/env sh
Compute the mean image from the imagenet training lmdb # N.B. this is available in data/ilsvrc12
Hello, I am new in Caffe. When I run make_imagenet_mean.sh there is a error information
F0122 02:13:50.257007 6589 compute_image_mean.cpp:77] Check failed: size_in_datum == data_size (254700 vs. 116412) Incorrect data field size 254700 Check failure stack trace: @ 0x7f458acab1c3 google::LogMessage::Fail() @ 0x7f458acb025b google::LogMessage::SendToLog() @ 0x7f458acaaebf google::LogMessage::Flush() @ 0x7f458acab6ef google::LogMessageFatal::~LogMessageFatal() @ 0x55e70fe96f90 main @ 0x7f458a5b20b3 __libc_start_main @ 0x55e70fe9748e _start Aborted (core dumped) Done.
this is the create_imagenet.sh script
!/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/manraj/caffe/examples/FaceDetection DATA=/home/manraj/caffe/examples/FaceDetection TOOLS=/home/manraj/caffe/build/tools
Set RESIZE=true to resize the images to 256x256. Leave as false if images have # already been resized using another tool.
and this make_imagenet_mean.sh script
!/usr/bin/env sh
Compute the mean image from the imagenet training lmdb # N.B. this is available in data/ilsvrc12
EXAMPLE=/home/manraj/caffe/examples/FaceDetection DATA=/home/manraj/caffe/data/ilsvrc12 TOOLS=/home/manraj/caffe/build/tools
Please help guys I am stuck here and I have s submission deadline