【发布时间】:2016-09-22 23:18:29
【问题描述】:
我已经阅读了很多参考资料来为 caffe 输入准备图像数据,但还没有解决我的问题!!
我已将 .jpg 图像文件放在 2 个单独的文件夹中:
folder train: containing 100,000 image files of size 227*227
folder val: containing 9,000 image files of size 227*227
我把它们放在/home/user/DL的文件夹中
然后我制作了两个文本文件,分别列出了 train 和 val 文件夹中的图像名称:
.
.
p127.jpg 2
p943.jpg 2
p8765.jpg 1
.
.
我把这两个文件放在/home/user/caffe-master/data/DL.
我将位于/home/user/caffe-master/examples/DL 的DL_create.sh 设为如下:
set -e
EXAMPLE=examples/DL
DATA=data/DL
TOOLS=build/tools
TRAIN_DATA_ROOT=/home/user/DL/train/
VAL_DATA_ROOT=/home/user/DL/val/
RESIZE=true
if $RESIZE; then
RESIZE_HEIGHT=227
RESIZE_WIDTH=227
else
RESIZE_HEIGHT=0
RESIZE_WIDTH=0
fi
if [ ! -d "$TRAIN_DATA_ROOT" ]; then
echo "Error: TRAIN_DATA_ROOT is not a path to a directory: $TRAIN_DATA_ROOT"
echo "Set the TRAIN_DATA_ROOT variable in create_DL.sh to the path" \
"where the DL training data is stored."
exit 1
fi
if [ ! -d "$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_DL.sh to the path" \
"where the DL 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 \
--gray \
$TRAIN_DATA_ROOT \
$DATA/train.txt \
$EXAMPLE/DL_train_lmdb
echo "Creating val lmdb..."
GLOG_logtostderr=1 $TOOLS/convert_imageset \
--resize_height=$RESIZE_HEIGHT \
--resize_width=$RESIZE_WIDTH \
--shuffle \
--gray \
$VAL_DATA_ROOT \
$DATA/val.txt \
$EXAMPLE/DL_val_lmdb
echo "Done."
然后当我运行DL_create.sh 脚本将我的图像数据更改为lmdb 时,它找不到我的图像并给出如下消息:
.
.
.
E0922 14:35:24.152361 31301 io.cpp:80] Could not open or find file /home/user/caffe-master/data/DL/train/p84167.jpg
E0922 14:35:24.160773 31301 io.cpp:80] Could not open or find file /home/user/caffe-master/data/DL/train/p24118.jpg
.
.
.
你能帮我知道我在哪里做错了吗??!?!
【问题讨论】:
标签: deep-learning caffe