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removing temp files

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hesamsagha
2016-11-30 19:09:40 +01:00
pai 421146fddd
commit 1ff448a256
18 arquivos alterados com 0 adições e 584 exclusões
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classifiers/RF_models/gender_test.arff~
-388
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@@ -1,388 +0,0 @@
@relation dummyarff
@attribute f_1 numeric
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@attribute class {1,0}
@data
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classifiers/RF_models/run_Agreeable.sh~
-10
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#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_Agreeable.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Agreeable.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
#| sed -r 's/^/class=/g'
printf '​{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}​\n'
#rm $NEW_UUID
classifiers/RF_models/run_Concious.sh~
-10
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#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_Concious.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Concious.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
#| sed -r 's/^/class=/g'
printf '​{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}​\n'
#rm $NEW_UUID
classifiers/RF_models/run_Extroversion.sh~
-10
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#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_Extroversion.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Extroversion.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
#| sed -r 's/^/class=/g'
printf '​{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}​\n'
#rm $NEW_UUID
classifiers/RF_models/run_Neuroticism.sh~
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#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_Neuroticism.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Neuroticism.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
#| sed -r 's/^/class=/g'
printf '​{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}​\n'
#rm $NEW_UUID
classifiers/RF_models/run_Openness.sh~
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#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'Openness.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_Openness.conf -I $1 -l 5 -classlabel 0 -O $NEW_UUID
res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Openness.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
#| sed -r 's/^/class=/g'
printf '​{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}​\n'
rm $NEW_UUID
classifiers/RF_models/run_age.sh~
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@@ -1,10 +0,0 @@
#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_age.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
res=$(java weka.classifiers.functions.SMOreg -T $NEW_UUID -l age_smoreg.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3 | cut -f1 -d".")
#| sed -r 's/^/class=/g'
printf '​{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}​\n'
rm $NEW_UUID
classifiers/RF_models/run_gender.sh~
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@@ -1,19 +0,0 @@
#!/bin/bash
export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'g.arff'
#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
./SMILExtract -C IS09_emotion_gender.conf -I $1 -l 0 -classlabel Female -O $NEW_UUID
res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l gender_rf.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep ':' |tr -s ' '|sed -r 's/^ //g'|cut -d' ' -f3|cut -d':' -f2)
#| sed -r 's/^/class=/g'
male='Male'
if [ "$res" = "$male" ];
then
printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"classification","COMPONENT":"mysvmsink","VIDX":1,"VALUE":"Male","PROB":[{"CLASS_IDX":0,"CLASS_NAME":"Male","CLASS_PROB":1.0},{"CLASS_IDX":1,"CLASS_NAME":"Female","CLASS_PROB":0.0},],}​\n'
fi
female='Female'
if [ "$res" = "$female" ];
then
printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"classification","COMPONENT":"mysvmsink","VIDX":1,"VALUE":"Female","PROB":[{"CLASS_IDX":0,"CLASS_NAME":"Male","CLASS_PROB":0.0},{"CLASS_IDX":1,"CLASS_NAME":"Female","CLASS_PROB":1.0},],}​\n'
fi
rm $NEW_UUID
classifiers/asr/asr_run.sh~
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#!/bin/bash
curl --user testuser:testuser -X GET "http://X.X.X.X:X/technologies/stt?path=$1&model=ENGLISH_L&result_type=one_best"
#output form: {"result":{"info":{"id":"ID","state":"waiting"}}}
classifiers/asr/asr_upload.sh~
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#!/bin/bash
curl -X POST --data-binary @$1 --user testuser:testuser http://X.X.X.X:X/audiofile?path=$1
classifiers/asr/checkpending.sh~
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#!/bin/bash
curl --user testuser:testuser -X GET "http://X.X.X.X:X/pending/$1"
classifiers/asr/output.txt~
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curl -X POST --data-binary @$1 --user testuser:testuser http://136.243.53.82:8601/audiofile?path=$1
{"result":{"version":2,"name":"AudioFileInfoResult","info":{"name":"sss.wav","last_modified":"2016-09-19T10:15:18Z","created":"2016-09-19T10:15:18Z","size":79862,"is_directory":false,"frequency":8000,"length":4.988625,"n_channels":1,"format":"lin16"}}}
curl --user testuser:testuser -X GET "http://136.243.53.82:8601/technologies/stt?path=$1&model=ENGLISH_L&result_type=one_best"
{"result":{"version":1,"name":"PendingInfoResult","info":{"id":"aaddd257-95f5-4398-9db9-2cabff12d9da","state":"waiting"}}}
curl --user testuser:testuser -X GET "http://136.243.53.82:8601/pending/73e01038-b0aa-4b46-8011-084829231671"
{"result":{"version":1,"name":"PendingInfoResult","info":{"id":"aaddd257-95f5-4398-9db9-2cabff12d9da","state":"waiting"}}}
{"result":{"version":1,"name":"PendingInfoResult","info":{"id":"aaddd257-95f5-4398-9db9-2cabff12d9da","state":"finished"}}}
curl -X POST --data-binary @$1 --user testuser:testuser http://136.243.53.82:8601/audiofile?path=$1
{"result":{"version":2,"name":"SpeechRecognitionOneBestResult","file":"\/sad2_happy3_8khz.wav","model":"ENGLISH_L","one_best_result":{"segmentation":[{"channel_id":0,"score":-684.55896,"confidence":13382.554,"start":1600000,"end":4200000,"word":"<s>"},{"channel_id":0,"score":-4015.509,"confidence":-97.95257,"start":4200000,"end":11100000,"word":"LIMITED"},{"channel_id":0,"score":-1345.1619,"confidence":-188.62932,"start":11100000,"end":14000000,"word":"IS"},{"channel_id":0,"score":-2018.9628,"confidence":-75.10674,"start":14000000,"end":19100000,"word":"A"},{"channel_id":0,"score":-2227.218,"confidence":-294.19534,"start":19100000,"end":22800000,"word":"<\/s>"},{"channel_id":0,"score":-605.6393,"confidence":10061.17,"start":23200000,"end":25200000,"word":"<s>"},{"channel_id":0,"score":-1929.8737,"confidence":-41.353687,"start":25200000,"end":28300000,"word":"BUT"},{"channel_id":0,"score":-1288.3638,"confidence":-43.10891,"start":28300000,"end":31200000,"word":"NO"},{"channel_id":0,"score":-839.043,"confidence":-42.473152,"start":31200000,"end":32500000,"word":"I"},{"channel_id":0,"score":-1854.2478,"confidence":-85.816895,"start":32500000,"end":35800000,"word":"REALLY"},{"channel_id":0,"score":-5980.855,"confidence":-290.30914,"start":35800000,"end":45400000,"word":"UNHAPPY"},{"channel_id":0,"score":-973.4547,"confidence":-48.923462,"start":45400000,"end":47800000,"word":"<\/s>"}]}}}
classifiers/boaw_models/boawAV.sh~
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#!/bin/bash
# Arousal and valence prediction using bag-of-audio-words
wavfile=input.wav
#./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
java -jar openXBOW.jar -i LLD.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
./predict boaw.libsvm modelArousal.svr arousal.txt &>/dev/null
./predict boaw.libsvm modelValence.svr valence.txt &>/dev/null
cat arousal.txt
echo
cat valence.txt
classifiers/boaw_models/run_ars.sh~
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#!/bin/bash
# Arousal and valence prediction using bag-of-audio-words
wavfile=$1 #'/media/sag/DATA/workPassau/Projects/MixedEmotions/Databases/Youtube_data_package/data/Audio/video1(00h00m27s-00h01m01s).wav'
interval=0.04 # hop size
#./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
#./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLDval.csv" -l 1
#java -jar openWord.jar -i LLDval.csv -o boaw.libsvm -a 20 -size 1000 -t 10.0 $interval -b bookValence &>/dev/null
#./predict boaw.libsvm modelValence.svr valence.txt &>/dev/null
NEW_UUID='LLD'$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a'
./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput ${NEW_UUID}.csv -l 1
java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
./predict boaw.libsvm modelArousal.svr ${NEW_UUID}arousal.txt &>/dev/null
#cat valence.txt | awk '{ sum += $1; sum2+=$1*$1; n++ } END { if (n > 0) print sum/n , 1-((sum2/n)-(sum/n*sum/n))^.5; }' > Vres.txt
input=${NEW_UUID}arousal.txt
i=1
while read mean
do
# if [[ $std == *"nan"* ]]
# then
# std=1;
# fi
a=`awk "BEGIN{printf \"%.2f\",$mean}"`
printf '​{ "PROCESSOR":"OpenSMILE","ORIGIN":"boaw","TYPE":"regression","COMPONENT":"maxboaw2","VIDX":'$i',"VALUE":'$a',"PROB":[{"CONFIDENCE":1}]}​\n'
done < "$input"
rm ${NEW_UUID}arousal.txt ${NEW_UUID}.csv
classifiers/boaw_models/run_val.sh~
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#!/bin/bash
# Arousal and valence prediction using bag-of-audio-words
wavfile=$1 #'/media/sag/DATA/workPassau/Projects/MixedEmotions/Databases/Youtube_data_package/data/Audio/video1(00h00m27s-00h01m01s).wav'
interval=0.04 # hop size
#./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
#./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLDval.csv" -l 1
#java -jar openWord.jar -i LLDval.csv -o boaw.libsvm -a 20 -size 1000 -t 10.0 $interval -b bookValence &>/dev/null
#./predict boaw.libsvm modelValence.svr valence.txt &>/dev/null
NEW_UUID='LLD'$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a'
./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput ${NEW_UUID}.csv -l 1
java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
./predict boaw.libsvm modelValence.svr ${NEW_UUID}valence.txt &>/dev/null
#cat valence.txt | awk '{ sum += $1; sum2+=$1*$1; n++ } END { if (n > 0) print sum/n , 1-((sum2/n)-(sum/n*sum/n))^.5; }' > Vres.txt
input=${NEW_UUID}valence.txt
i=1
while read mean
do
# if [[ $std == *"nan"* ]]
# then
# std=1;
# fi
a=`awk "BEGIN{printf \"%.3f\",$mean}"`
printf '​{ "PROCESSOR":"OpenSMILE","ORIGIN":"boaw","TYPE":"regression","COMPONENT":"maxboaw2","VIDX":'$i',"VALUE":'$mean',"PROB":[{"CONFIDENCE":1}]}​\n'
done < "$input"
rm ${NEW_UUID}valence.txt ${NEW_UUID}.csv
classifiers/sentiment/installer.sh~
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#!/bin/bash
sudo pip install pandas
classifiers/sentiment/readme.txt~
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classifiers/sentiment/sentiment_runner.sh~
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@@ -1,12 +0,0 @@
#!/bin/bash
#echo "h$1"
#python rnn_sentiment.py --mode=sentence --sentence="$1"
str="$1"
os=$(echo $str| sed 's/_/ /g')
echo ${os}
##strrep=${str//_/ }
v=$(python rnn_sentiment.py --mode=sentence --sentence="$os" | sed -n '1!p')
##echo $(python rnn_sentiment.py --mode=sentence --sentence=\"$1\"
##v=$(python rnn_sentiment.py --mode=sentence --sentence=\"$1\" | sed -n '1!p')
#a=`awk "BEGIN{printf \"%.3f\",$v}"`
#printf '​{ "PROCESSOR":"python","ORIGIN":"theano","TYPE":"regression","COMPONENT":"sentiment","VIDX":0,"VALUE":'$a',"PROB":[{"CONFIDENCE":1}]}​\n'