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Caffe: a fast open framework for deep learning.
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Create_imagenet to convert image to LMDB #6932

Open Ojousama95 opened 4 years ago

Ojousama95 commented 4 years ago

!/usr/bin/env sh

Create the imagenet lmdb inputs

N.B. set the path to the imagenet train + val data dirs

set -e

EXAMPLE=C:/Users/asus/Desktop/Implementation-of-Pilotnet-master LABEL=C:/Users/asus/Desktop/Implementation-of-Pilotnet-master TOOLS=caffe-windows/build/tools

TRAIN_DATA_ROOT=C:/Users/asus/Desktop/Implementation-of-Pilotnet-master/train/ VAL_DATA_ROOT=C:/Users/asus/Desktop/Implementation-of-Pilotnet-master/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=66 RESIZE_WIDTH=200

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 \ $LABEL/label_train.txt \ $EXAMPLE/train_lmdb

echo "Creating val lmdb..."

GLOG_logtostderr=1 $TOOLS/convert_imageset \ --resize_height=$RESIZE_HEIGHT \ --resize_width=$RESIZE_WIDTH \ --shuffle \ $VAL_DATA_ROOT \ $LABEL/label_val.txt \ $EXAMPLE/val_lmdb

echo "Done."


Creating train lmdb... create_imagenet.sh: line 40: caffe-windows/build/tools/convert_imageset: No such file or directory

C:\Users\asus\Desktop\Implementation-of-Pilotnet-master>


anyone can help ? the create_imagenet is there but the cmd shows no such file and directory