Add adaptive preprocessing escalation and single-receipt test scripts
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Preprocessing now tries progressively heavier variants per receipt
(plain -> high-pass -> edge-enhance -> both), stopping as soon as a
cheap LLM-free arithmetic check on the OCR text looks plausible, so
the extra processing only applies to receipts that need it. A flat
version of the same heavier processing regressed the full batch by
helping hard receipts but hurting easy ones; the adaptive version
improves date-matching 37/52 -> 40/52 with no regression (see
testing/2026_10_04_gimp_highpass_nlfilter_experiment.md).

Also adds test_ocr.sh and test_single.sh for checking a single
receipt's OCR text or full pipeline result without a batch run.
This commit is contained in:
ml
2026-10-04 10:25:41 +02:00
parent 9bb1844cf4
commit ca85530b5a
11 changed files with 694 additions and 52 deletions
+70
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#!/usr/bin/env bash
# Combines steps 1+2 (preprocess + OCR) adaptively: tries preprocess.py's
# variants cheapest-first (0=baseline, same as 1_preprocess_image.sh's
# default, up to 3=most elaborate), scoring each variant's OCR text with
# tooling-container/src/plausibility.py and stopping at the first one
# that looks receipt-consistent - no LLM call involved, so this costs
# nothing extra over the single-variant path for the receipts the
# baseline already reads correctly. See tooling-container/src/adaptive.py
# and testing/2026_10_04_gimp_highpass_nlfilter_experiment.md for why.
#
# Writes <out>/variant<N>/{01_gray,...,0X_final}.png and its own ocr.txt
# for every variant tried (for inspection - which variant was kept is in
# the printed summary) and <out>/ocr.txt (the winning variant's OCR
# text, ready for ./3_extract_data.sh).
#
# Usage: ./12_adaptive_preprocess_ocr.sh -in <photo> -out <scratch-dir>
set -euo pipefail
cd "$(dirname "${BASH_SOURCE[0]}")"
ROOT="$(pwd)"
fail() { echo "FAIL: $*" >&2; exit 1; }
IN_PATH=""
OUT_DIR=""
while [ $# -gt 0 ]; do
case "$1" in
-in) IN_PATH="${2:-}"; shift 2 ;;
-out) OUT_DIR="${2:-}"; shift 2 ;;
*) fail "unknown argument: $1" ;;
esac
done
[ -n "$IN_PATH" ] && [ -n "$OUT_DIR" ] \
|| fail "usage: $0 -in <photo> -out <scratch-dir>"
[ -f "$IN_PATH" ] || fail "input file not found: $IN_PATH"
command -v docker >/dev/null 2>&1 || fail "docker not found in PATH"
IMAGE="${REGISTRY_IMAGE:-fuelish/tools}"
if [ -f "$ROOT/registry.env" ]; then
# shellcheck disable=SC1091
source "$ROOT/registry.env"
IMAGE="${REGISTRY_IMAGE:-$IMAGE}"
fi
VERSION="$(<"$ROOT/tooling-container/VERSION")"
IMAGE="$IMAGE:$VERSION"
docker image inspect "$IMAGE" >/dev/null 2>&1 \
|| fail "$IMAGE not found locally - run ./build-image.sh first"
IN_ABS="$(realpath "$IN_PATH")"
IN_DIR="$(dirname "$IN_ABS")"
IN_FILE="$(basename "$IN_ABS")"
mkdir -p "$OUT_DIR"
OUT_ABS="$(realpath "$OUT_DIR")"
GROUP_ADD_ARGS=(--group-add "$(stat -c %g "$IN_DIR")")
OUT_GID="$(stat -c %g "$OUT_ABS")"
[ "$OUT_GID" = "$(stat -c %g "$IN_DIR")" ] || GROUP_ADD_ARGS+=(--group-add "$OUT_GID")
echo "== Adaptively preprocessing + OCRing $IN_FILE =="
docker run --rm \
--user "$(id -u):$(id -g)" \
"${GROUP_ADD_ARGS[@]}" \
-v "$IN_DIR:/data/in:ro" \
-v "$OUT_ABS:/data/out" \
"$IMAGE" \
python3 /opt/app/src/adaptive.py -in "/data/in/$IN_FILE" -out /data/out
echo "== Done =="
echo "Next: ./3_extract_data.sh -in $OUT_ABS/ocr.txt -out $OUT_ABS"