blob: 686dae836413069060f54e992757079a455a3abc (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
|
#!/bin/sh
usage="Usage: $0 traineddata evaldir"
test $# -ne 2 && echo "$usage" && exit 1
evaldir="$2"
here=`dirname "$0"`
# Make box files
find "$evaldir" -type f -name '*txt' | while read i; do
b=`basename "$i" .txt`
d=`dirname "$i"`
# skip generating box files files if there's a box or lstmf file already present
test -f "$d/$b.box" && continue
test -f "$d/${b}_lstmf.lstmf" && continue
python "${here}/generate_line_box.py" -i "$d/$b.png" -t "$i" > "$d/$b.box" || exit 1
done
# Make lstmf files (a combined .box and .png file)
find "$evaldir" -type f -name '*box' | while read i; do
b=`basename "$i" .box`
d=`dirname "$i"`
# skip generating lstmf files if they're already present
test -f "$d/${b}_lstmf.lstmf" && continue
tesseract "$d/$b.png" "$d/${b}_lstmf" --psm 6 lstm.train 2>/dev/null || exit 1
# the lstm.train process creates a blank .txt
rm -f "$d/${b}_lstmf.txt"
rm -f "$i"
done
find "$evaldir" -type f -name '*lstmf' > "$evaldir/list"
# Run lstmeval
evalout=`lstmeval --model "$1" --eval_listfile "$evaldir/list" -verbosity 0 2>&1`
test $? -ne 0 && echo "Error in lstmeval: $evalout"
echo "$evalout" | awk '/Char error rate/ {print $7 " " $8 " " $9 " " $10 " " $11 " " $12}'
rm -f "$evaldir/list"
|
