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- #! bin/bash
- if [ -z "$1" ]
- then
- echo "No first argument supplied"
- echo "Need of vector size"
- exit 1
- fi
- if [ -z "$2" ]
- then
- echo "No second argument supplied"
- echo "Need of model input"
- exit 1
- fi
- if [ -z "$3" ]
- then
- echo "No third argument supplied"
- echo "Need of separator char : ':', ';'"
- exit 1
- fi
- if [ -z "$4" ]
- then
- echo "No fourth argument supplied"
- echo "Need of index row indication : 0 or 1"
- exit 1
- fi
- VECTOR_SIZE=$1
- INPUT_MODEL=$2
- INPUT_SEP=$3
- INPUT_ROW=$4
- for size in {"4","8","16","26","32","40"}; do
- start=0
- for counter in {0..4}; do
- end=$(($start+$size))
- if [ "$end" -gt "$VECTOR_SIZE" ]; then
- start=$(($VECTOR_SIZE-$size))
- end=$(($VECTOR_SIZE))
- fi
-
- zones = "0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15"
- zones_str="${zones//, /-}"
- for scene in {"A","B","C","D","E","F","G","H","I"}; do
- for mode in {"svd","svdn","svdne"}; do
- FILENAME="data_svm/data_${mode}_N${size}_B${start}_E${end}_scene${scene}"
- echo $FILENAME
- python generate_data_svm.py --output ${FILENAME} --interval "${start},${end}" --kind ${mode} --scenes "${scene}" --zones "${zones}" --percent 1 --sep "${INPUT_SEP}" --rowindex "${INPUT_ROW}"
- python prediction.py --data "$FILENAME.train" --model ${INPUT_MODEL} --output "${INPUT_MODEL}.prediction"
- done
- done
- start=$(($start+50))
- done
- done
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