poe2-bot/tools/training/train.sh
2026-02-10 22:56:51 -05:00

419 lines
14 KiB
Bash

#!/usr/bin/env bash
# Fine-tune Tesseract 5 LSTM on Fontin / Fontin SmallCaps for POE2
#
# IMPORTANT: Run inside WSL Ubuntu (NOT docker-desktop).
#
# From PowerShell:
# wsl -d Ubuntu-22.04 bash /mnt/c/Users/boki/repos/poe2trade/tools/training/train.sh
#
# Or from inside WSL Ubuntu:
# cd /mnt/c/Users/boki/repos/poe2trade/tools/training
# bash train.sh
#
# Prerequisites:
# - WSL Ubuntu installed: wsl --install -d Ubuntu-22.04
# - Internet access (downloads fonts + Tesseract tools if needed)
set -euo pipefail
# ── Sanity checks ────────────────────────────────────────────────────────────
if [ -z "${BASH_VERSION:-}" ]; then
echo "ERROR: This script requires bash. Run with: bash train.sh"
echo "If you're in docker-desktop WSL, switch to Ubuntu:"
echo " wsl -d Ubuntu-22.04 bash /mnt/c/Users/boki/repos/poe2trade/tools/training/train.sh"
exit 1
fi
# Detect which WSL distro we're in
if grep -qi alpine /etc/os-release 2>/dev/null || [ -f /etc/alpine-release ]; then
echo "ERROR: You're in docker-desktop (Alpine). Use Ubuntu instead:"
echo " wsl -d Ubuntu-22.04 bash /mnt/c/Users/boki/repos/poe2trade/tools/training/train.sh"
exit 1
fi
# ── Resolve paths ────────────────────────────────────────────────────────────
# Handle both /mnt/c/ (Ubuntu) and /mnt/host/c/ (docker-desktop) paths
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)"
TESSDATA_DIR="$PROJECT_ROOT/tools/OcrDaemon/tessdata"
TRAINING_TEXT="$SCRIPT_DIR/poe2_training_text.txt"
WORK_DIR="$HOME/poe2-tesseract-training"
FONT_DIR="/usr/local/share/fonts/fontin"
MAX_ITERATIONS=800
TARGET_ERROR=0.01
if [ ! -f "$TRAINING_TEXT" ]; then
echo "ERROR: Training text not found at: $TRAINING_TEXT"
exit 1
fi
if [ ! -f "$TESSDATA_DIR/eng.traineddata" ]; then
echo "ERROR: eng.traineddata not found at: $TESSDATA_DIR/"
exit 1
fi
echo "=== POE2 Tesseract Fine-Tuning ==="
echo "Script dir: $SCRIPT_DIR"
echo "Work dir: $WORK_DIR"
echo "Training text: $TRAINING_TEXT"
echo "Tessdata: $TESSDATA_DIR"
echo ""
# ── Step 1: Install Tesseract training tools ─────────────────────────────────
install_tesseract_tools() {
echo "── Step 1: Installing Tesseract training tools ──"
if command -v text2image >/dev/null 2>&1 && command -v lstmtraining >/dev/null 2>&1; then
echo "Tesseract training tools already installed."
tesseract --version 2>&1 | head -1
return 0
fi
echo "Installing Tesseract 5.x and training tools..."
# Update package list first
sudo apt-get update -qq
# Try PPA for latest Tesseract
if sudo add-apt-repository -y ppa:alex-p/tesseract-ocr-devel 2>/dev/null; then
sudo apt-get update -qq
fi
sudo apt-get install -y tesseract-ocr tesseract-ocr-eng \
libicu-dev libpango1.0-dev libcairo2-dev \
wget unzip fontconfig 2>&1 | tail -3
# Check if we got text2image from the package
if command -v text2image >/dev/null 2>&1; then
echo "Installed via apt."
tesseract --version 2>&1 | head -1
return 0
fi
# Build from source as fallback
echo "Package didn't include training tools, building from source..."
sudo apt-get install -y automake g++ git libtool libleptonica-dev \
make pkg-config libicu-dev libpango1.0-dev libcairo2-dev 2>&1 | tail -3
local BUILD_DIR="$HOME/tesseract-build"
if [ ! -d "$BUILD_DIR" ]; then
git clone --depth 1 --branch 5.3.4 https://github.com/tesseract-ocr/tesseract.git "$BUILD_DIR"
fi
pushd "$BUILD_DIR" > /dev/null
./autogen.sh
./configure
make -j"$(nproc)"
make training
sudo make install
sudo make training-install
sudo ldconfig
popd > /dev/null
echo "Built from source."
tesseract --version 2>&1 | head -1
}
# ── Step 2: Download and install Fontin fonts ────────────────────────────────
install_fonts() {
echo ""
echo "── Step 2: Installing Fontin fonts ──"
if fc-list 2>/dev/null | grep -qi fontin; then
echo "Fontin fonts already installed:"
fc-list | grep -i fontin
return 0
fi
local FONT_TMP="$HOME/fontin-download"
mkdir -p "$FONT_TMP"
pushd "$FONT_TMP" > /dev/null
echo "Downloading Fontin fonts..."
# wfonts.com zip includes Regular, Bold, Italic, SmallCaps (all in one)
curl -sL "https://static.wfonts.com/download/data/2015/03/10/fontin/fontin.zip" -o fontin.zip || {
echo "ERROR: Failed to download Fontin fonts."
echo "Download manually and place .otf files in $FONT_DIR"
popd > /dev/null
return 1
}
# Verify it's a real zip
if ! file fontin.zip | grep -q "Zip archive"; then
echo "ERROR: Downloaded file is not a zip. Font site may be blocking downloads."
echo "Download manually from https://www.wfonts.com/font/fontin"
echo "Place .otf files in $FONT_DIR"
popd > /dev/null
return 1
fi
unzip -qo fontin.zip -d fontin/ 2>/dev/null || true
sudo mkdir -p "$FONT_DIR"
# Copy OTF files
find fontin/ \( -name '*.otf' -o -name '*.OTF' \) \
-exec sudo cp {} "$FONT_DIR/" \; 2>/dev/null || true
sudo fc-cache -fv > /dev/null 2>&1
echo "Installed fonts:"
fc-list | grep -i fontin || echo "WARNING: Fonts not found after install!"
popd > /dev/null
rm -rf "$FONT_TMP"
}
# ── Step 3: Generate training images ─────────────────────────────────────────
generate_training_images() {
echo ""
echo "── Step 3: Generating training images ──"
mkdir -p "$WORK_DIR/ground-truth" "$WORK_DIR/output"
cd "$WORK_DIR"
# Copy eng.traineddata from project
if [ ! -f "$WORK_DIR/eng.traineddata" ]; then
cp "$TESSDATA_DIR/eng.traineddata" "$WORK_DIR/"
fi
# Extract LSTM model for fine-tuning
if [ ! -f "$WORK_DIR/eng.lstm" ]; then
echo "Extracting LSTM model from eng.traineddata..."
combine_tessdata -e eng.traineddata eng.lstm
fi
# Discover available Fontin font names
echo "Available Fontin fonts:"
text2image --list_available_fonts --fonts_dir "$FONT_DIR" 2>/dev/null | grep -i fontin || true
# Read font names into a file (avoids bash array portability issues)
# text2image output format is " 6: Fontin Bold" — extract font name after first colon
local FONT_LIST="$WORK_DIR/font_list.txt"
text2image --list_available_fonts --fonts_dir "$FONT_DIR" 2>/dev/null \
| grep -i fontin \
| cut -d: -f2- \
| sed 's/^[[:space:]]*//;s/[[:space:]]*$//' \
> "$FONT_LIST" 2>/dev/null || true
if [ ! -s "$FONT_LIST" ]; then
echo "WARNING: No Fontin fonts auto-detected. Trying common names..."
cat > "$FONT_LIST" <<'NAMES'
Fontin Bold
Fontin Medium
Fontin Medium Italic
Fontin SmallCaps, Medium
NAMES
fi
echo "Will generate images for:"
cat "$FONT_LIST"
local count=0
for exp in -1 0 1; do
while IFS= read -r font_name; do
[ -z "$font_name" ] && continue
local safe
safe=$(echo "$font_name" | tr ' ' '-' | tr '[:upper:]' '[:lower:]')
local outbase="ground-truth/poe2.${safe}.exp${exp}"
echo " Generating: $outbase (font='$font_name', exposure=$exp)"
if text2image \
--text "$TRAINING_TEXT" \
--outputbase "$outbase" \
--font "$font_name" \
--fonts_dir "$FONT_DIR" \
--ptsize 16 \
--xsize 3600 \
--ysize 480 \
--char_spacing 0.0 \
--exposure "$exp" \
--leading 32 2>&1; then
count=$((count + 1))
else
echo " WARNING: Failed for font '$font_name' exposure=$exp, skipping"
fi
done < "$FONT_LIST"
done
echo "Generated $count training image sets."
if [ "$count" -eq 0 ]; then
echo "ERROR: No training images generated. Check font installation."
return 1
fi
}
# ── Step 4: Generate LSTMF files ─────────────────────────────────────────────
generate_lstmf() {
echo ""
echo "── Step 4: Generating .lstmf training files ──"
cd "$WORK_DIR"
local count=0
for tif in ground-truth/*.tif; do
[ -f "$tif" ] || continue
local base="${tif%.tif}"
if [ -f "${base}.lstmf" ]; then
echo " Skipping (exists): ${base}.lstmf"
count=$((count + 1))
continue
fi
echo " Processing: $tif"
if tesseract "$tif" "$base" --psm 6 lstm.train 2>&1; then
count=$((count + 1))
else
echo " WARNING: Failed to process $tif"
fi
done
# Create training file list
: > training_files.txt
for f in ground-truth/*.lstmf; do
[ -f "$f" ] && echo "$f" >> training_files.txt
done
local total
total=$(wc -l < training_files.txt)
echo "Created $total .lstmf files."
if [ "$total" -eq 0 ]; then
echo "ERROR: No .lstmf files generated."
return 1
fi
}
# ── Step 5: Fine-tune LSTM ───────────────────────────────────────────────────
fine_tune() {
echo ""
echo "── Step 5: Fine-tuning LSTM (max $MAX_ITERATIONS iterations) ──"
cd "$WORK_DIR"
lstmtraining \
--continue_from eng.lstm \
--traineddata eng.traineddata \
--train_listfile training_files.txt \
--model_output output/poe2 \
--max_iterations "$MAX_ITERATIONS" \
--target_error_rate "$TARGET_ERROR" \
--debug_interval -1
echo "Fine-tuning complete."
}
# ── Step 6: Package model ────────────────────────────────────────────────────
package_model() {
echo ""
echo "── Step 6: Packaging poe2.traineddata ──"
cd "$WORK_DIR"
# Find the checkpoint file
local checkpoint=""
if [ -f "output/poe2_checkpoint" ]; then
checkpoint="output/poe2_checkpoint"
elif [ -f "output/poe2checkpoint" ]; then
checkpoint="output/poe2checkpoint"
else
# Find most recent checkpoint
checkpoint=$(ls -t output/poe2* 2>/dev/null | head -1)
fi
if [ -z "$checkpoint" ] || [ ! -f "$checkpoint" ]; then
echo "ERROR: No checkpoint found in output/"
ls -la output/ 2>/dev/null || true
return 1
fi
echo "Using checkpoint: $checkpoint"
lstmtraining --stop_training \
--continue_from "$checkpoint" \
--traineddata eng.traineddata \
--model_output output/poe2.traineddata
# Copy to project tessdata
cp output/poe2.traineddata "$TESSDATA_DIR/poe2.traineddata"
echo "Model saved to: $TESSDATA_DIR/poe2.traineddata"
ls -lh "$TESSDATA_DIR/poe2.traineddata"
}
# ── Step 7: Quick validation ─────────────────────────────────────────────────
validate() {
echo ""
echo "── Step 7: Quick validation ──"
cd "$WORK_DIR"
# Create a small test file
printf 'Quality: +20%%\nAdds 12 to 24 Fire Damage\n+45%% to Fire Resistance\n' > /tmp/poe2_test.txt
# Get first available fontin font name
local test_font
test_font=$(text2image --list_available_fonts --fonts_dir "$FONT_DIR" 2>/dev/null | grep -i fontin | head -1 | sed 's/^[[:space:]]*//;s/[[:space:]]*$//')
if [ -z "$test_font" ]; then
echo "Skipping validation (no Fontin font available)"
return 0
fi
if ! text2image \
--text /tmp/poe2_test.txt \
--outputbase /tmp/poe2_test \
--font "$test_font" \
--fonts_dir "$FONT_DIR" \
--ptsize 16 --xsize 1200 --ysize 200 \
--exposure 0 --leading 32 2>&1; then
echo "Skipping validation (could not generate test image)"
return 0
fi
echo "=== eng model ==="
tesseract /tmp/poe2_test.tif stdout -l eng --psm 6 2>/dev/null || true
echo ""
echo "=== poe2 model ==="
TESSDATA_PREFIX="$TESSDATA_DIR" tesseract /tmp/poe2_test.tif stdout -l poe2 --psm 6 2>/dev/null || {
tesseract /tmp/poe2_test.tif stdout --tessdata-dir "$TESSDATA_DIR" -l poe2 --psm 6 2>/dev/null || true
}
rm -f /tmp/poe2_test.txt /tmp/poe2_test.tif /tmp/poe2_test.box
echo ""
echo "Compare the outputs above — poe2 should be more accurate on Fontin text."
}
# ── Main ─────────────────────────────────────────────────────────────────────
main() {
install_tesseract_tools
install_fonts
generate_training_images
generate_lstmf
fine_tune
package_model
validate
echo ""
echo "=== Done! ==="
echo "poe2.traineddata has been copied to: $TESSDATA_DIR/"
echo ""
echo "Next steps:"
echo " 1. Build the daemon: dotnet build tools/OcrDaemon -c Release"
echo " 2. Start the bot: npx tsx src/index.ts"
echo " 3. Test OCR quality in the dashboard"
}
main "$@"