#!/bin/bash
# Usage parse_log.sh caffe.log
# It creates the following two text files, each containing a table:
#     caffe.log.test (columns: ‘#Iters Seconds TestAccuracy TestLoss‘)
#     caffe.log.train (columns: ‘#Iters Seconds TrainingLoss LearningRate‘)


# get the dirname of the script
DIR="$( cd "$(dirname "$0")" ; pwd -P )"


if [ "$#" -lt 1 ]
then
echo "Usage parse_log.sh /path/to/your.log"
exit
fi
LOG=`basename $1`
grep -B 1 ‘Test ‘ $1 > aux.txt
grep ‘Iteration ‘ aux.txt | sed  ‘s/.*Iteration \([[:digit:]]*\).*/\1/g‘ > aux0.txt
grep ‘Test net output #0‘ aux.txt | awk ‘{print $11}‘ > aux1.txt
grep ‘Test net output #1‘ aux.txt | awk ‘{print $11}‘ > aux2.txt

# Extracting elapsed seconds
# For extraction of time since this line contains the start time
grep ‘] Solving ‘ $1 > aux3.txt
grep ‘Testing net‘ $1 >> aux3.txt
$DIR/extract_seconds.py aux3.txt aux4.txt

# Generating
echo ‘#Iters Seconds TestAccuracy TestLoss‘> $LOG.test
paste aux0.txt aux4.txt aux1.txt aux2.txt | column -t >> $LOG.test
rm aux.txt aux0.txt aux1.txt aux2.txt aux3.txt aux4.txt

# For extraction of time since this line contains the start time
grep ‘] Solving ‘ $1 > aux.txt
grep ‘, loss = ‘ $1 >> aux.txt
grep ‘Iteration ‘ aux.txt | sed  ‘s/.*Iteration \([[:digit:]]*\).*/\1/g‘ > aux0.txt
grep ‘, loss = ‘ $1 | awk ‘{print $9}‘ > aux1.txt
grep ‘, lr = ‘ $1 | awk ‘{print $9}‘ > aux2.txt

# Extracting elapsed seconds
$DIR/extract_seconds.py aux.txt aux3.txt

# Generating
echo ‘#Iters Seconds TrainingLoss LearningRate‘> $LOG.train
paste aux0.txt aux3.txt aux1.txt aux2.txt | column -t >> $LOG.train
rm aux.txt aux0.txt aux1.txt aux2.txt  aux3.txt

bnrc@bnrc:~$ grep ‘] Solving ‘ /home/bnrc/fast-rcnn/caffe-fast-rcnn/tools/extra/out.log
I0619 20:43:38.261850 23209 solver.cpp:189] Solving deeplab_largeFOV