From 8212994501dfff2bd42281ec796ab64e8a22ffb1 Mon Sep 17 00:00:00 2001 From: Nick White Date: Wed, 22 Jan 2020 14:18:08 +0000 Subject: Replace traintessv4 with traintessv5 script, which was used for fra-engbase training (very minor edits) --- traintessv5.sh | 107 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 107 insertions(+) create mode 100755 traintessv5.sh (limited to 'traintessv5.sh') diff --git a/traintessv5.sh b/traintessv5.sh new file mode 100755 index 0000000..8b95443 --- /dev/null +++ b/traintessv5.sh @@ -0,0 +1,107 @@ +#!/bin/sh +usage="Usage: $0 gtdir gtevaldir oldtraineddata trainingname" + +test $# -ne 4 && echo "$usage" && exit 1 + +## Settings ## +# This retrains the top layers +#extra="--append_index 5" +#netspec="[Lfx512 O1c1]" +# This fine-tunes the existing layers (copying the existing best/eng netspec) +netspec="[1,36,0,1 Ct3,3,16 Mp3,3 Lfys64 Lfx96 Lrx96 Lfx512 O1c1]" +extra="" +# (copied from the fast/fra netspec [the best/fra one is absent from the version string]) +#netspec="[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx128 O1c1]" +iterations=10000 + +oldtraining="$3" +name="$4" + +mkdir -p "$name" + +if test ! -f "/usr/local/share/tesseract-ocr/tessdata/eng.traineddata"; then + echo "/usr/local/share/tesseract-ocr/tessdata/eng.traineddata not found, needed for lstmf generation, bailing" + exit 1 +fi + +printf 'gtdir: %s\ngtevaldir: %s\noldtraineddata: %s\ntrainingname: %s\nnetspec: %s\niterations: %s\nextra_args: %s\n' \ + "$1" "$2" "$3" "$4" "$netspec" $iterations "$extra" > "$name/settings" + + +echo "Copying training ground truth" +mkdir -p "$name/gt" +find "$1" -type f -name '*tif' -o -name '*png' -o -name '*txt' -o -name '*box' | while read i; do + n=`basename "$i" | sed 's/\.bin\.png$/.png/g; s/\.bin\.txt$/.txt/g; s/\.gt\.txt$/.txt/g'` + cp "$i" "$name/gt/$n" +done + +echo "Copying eval ground truth" +mkdir -p "$name/eval" +find "$2" -type f -name '*tif' -o -name '*png' -o -name '*txt' -o -name '*box' | while read i; do + n=`basename "$i" | sed 's/\.bin\.png$/.png/g; s/\.bin\.txt$/.txt/g; s/\.gt\.txt$/.txt/g'` + cp "$i" "$name/eval/$n" +done + +echo "Making box files" +find "$name/gt" "$name/eval" -type f -name '*txt' | while read i; do + b=`basename "$i" .txt` + d=`dirname "$i"` + n="" + test -f "$d/$b.tif" && n="$b.tif" + test -f "$d/$b.png" && n="$b.png" + test -z "$n" && echo "Skipping $i as no corresponding image found" && continue + test -f "$d/$b.box" && echo "Skipping $i as box file already present" && continue + python ~/bigboy/othertools/generate_line_box.py -i "$d/$n" -t "$i" > "$d/$b.box" || exit 1 +done + +echo "Making unicharset" +unicharset_extractor --output_unicharset "$name/gt/unicharset" --norm_mode 2 "$name/gt/"*box || exit 1 + +echo "Making lstmf files" +find "$name/gt" "$name/eval" -type f -name '*box' | while read i; do + b=`basename "$i" .box` + d=`dirname "$i"` + test -f "$d/$b.tif" && n="$b.tif" + test -f "$d/$b.png" && n="$b.png" + echo "making lstm for $d/$n" + tesseract "$d/$n" "$d/$b" --psm 6 lstm.train || exit 1 +done + +echo "Listing lstmf files" +find "$name/gt" -type f -name '*lstmf' > "$name/gt/list" +find "$name/eval" -type f -name '*lstmf' > "$name/eval/list" + +echo "Unpacking old training" +mkdir -p "$name/orig" +cp "$oldtraining" "$name/orig/orig.traineddata" +combine_tessdata -u "$name/orig/orig.traineddata" "$name/orig/orig" || exit 1 + +echo "Making complete unicharset" +merge_unicharsets "$name/gt/unicharset" "$name/orig/orig.lstm-unicharset" "$name/unicharset" || exit 1 + +echo "Making starter training" +mkdir -p "$name/starter" +curl -L -f 'https://github.com/tesseract-ocr/langdata_lstm/raw/master/radical-stroke.txt' > "$name/starter/radical-stroke.txt" || exit 1 +combine_lang_model --input_unicharset "$name/unicharset" --script_dir "$name/starter" --output_dir "$name/starter" --lang "$name" || exit 1 + +mkdir -p "$name/checkpoint" + +echo "Starting training" +lstmtraining \ + --traineddata "$name/starter/$name/$name.traineddata" \ + --old_traineddata "$name/orig/orig.traineddata" \ + --continue_from "$name/orig/orig.lstm" \ + --net_spec "$netspec" \ + --model_output "$name/checkpoint/$name" \ + --learning_rate 20e-4 \ + --train_listfile "$name/gt/list" \ + --eval_listfile "$name/eval/list" \ + --max_iterations $iterations \ + $extra || exit 1 + +echo "Saving training" +lstmtraining \ + --stop_training \ + --continue_from "$name/checkpoint/${name}_checkpoint" \ + --traineddata "$name/starter/$name/$name.traineddata" \ + --model_output "$name/$name.traineddata" -- cgit v1.2.1-24-ge1ad