52 lines
1.4 KiB
Bash
Executable File
52 lines
1.4 KiB
Bash
Executable File
#!/bin/bash
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# wut-compare-txmode-csv
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#
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# Check the results of a prediction against vetted results
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# using a selected encoding.
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# Outputs CSV (comma separated values).
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#
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# Uses all files in download/ directory.
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# Available encodings:
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# AFSK AFSK1k2 AHRPT APT BPSK BPSK1k2 BPSK9k6 BPSK12k5 BPSK400 CERTO CW DUV
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# FFSK1k2 FM FSK1k2 FSK4k8 FSK9k6 FSK19k2 GFSK1k2 GFSK2k4 GFSK4k8 GFSK9k6
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# GFSK19k2 GFSK Rktr GMSK GMSK1k2 GMSK2k4 GMSK4k8 GMSK9k6 GMSK19k2 HRPT LRPT
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# MSK1k2 MSK2k4 MSK4k8 PSK PSK31 SSTV USB WSJT
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#
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# Usage:
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# wut-compare-txmode-csv [Encoding]
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# Example:
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# wut-compare-txmode-csv DUV
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MAIN_DIR=`pwd`
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OBSENC="$1"
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cd download/ || exit
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echo "ID, Vet, Wut, Rate, Agree"
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CORRECT=0
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INCORRECT=0
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for OBSID in *
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do
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cd $MAIN_DIR
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# Get previous rating
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VET=`cat download/$OBSID/$OBSID.json | jq --compact-output '.[0] | {vetted_status}' | cut -f 2 -d ":" | sed -e 's/}//g' -e 's/"//g'`
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ENC=`cat download/$OBSID/$OBSID.json | jq --compact-output '.[0] | {transmitter_mode}' | cut -f 2 -d ":" | sed -e 's/}//g' -e 's/"//g'`
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if [ "$OBSENC" = "$ENC" ] ; then
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echo -n "$OBSID, "
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echo -n "$VET, "
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# Get Machine Learning Result
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WUT_VETS=`./wut $OBSID`
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WUT_VET=`echo $WUT_VETS | cut -f 2 -d " "`
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WUT_RATE=`echo $WUT_VETS | cut -f 1 -d " "`
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echo -n "$WUT_VET, "
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echo -n "$WUT_RATE, "
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if [ "$VET" = "$WUT_VET" ] ; then
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echo 1
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else
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echo 0
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fi
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fi
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done
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