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"""
Restore missing hitit_ocr/data/classification/all/<sign>/<tid>_<idx>.png crops.
Legacy prepare_data.py (deleted runs) produced crops from datasets/sources/hitit_local/<tid>/{image}+mark.txt
using enumerate(info["signs"]) with info["signs"] = deduplicate(parse_annotations_format(data)).
The manifest_v13_ultimate.jsonl records reference those exact filenames. We parse mark.txt the same way,
recompute bbox list, and write crops back to hitit_ocr/data/classification/all/<unified_label>/<tid>_<idx>.png.
Usage:
python restore_hitit_crops.py --check TID # dry-run one tablet
python restore_hitit_crops.py --verify # compare parsed bbox list vs manifest indices
python restore_hitit_crops.py # full restore
"""
import argparse
import json
import re
import sys
from collections import Counter, defaultdict
from pathlib import Path
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
MIN_CROP_SIZE = 8
CONTEXT_PAD_RATIO = 0.15
TINY_BBOX_THRESHOLD = 0.005
PROJECT = Path("/arf/scratch/stakan/hitit-proje")
SOURCES = PROJECT / "datasets/sources/hitit_local"
OUT_ALL = PROJECT / "hitit_ocr/data/classification/all"
MANIFEST = SOURCES / "manifest_v13_ultimate.jsonl"
def normalize_sign(s):
"""Mirror of legacy prepare_data.py normalize_sign (ham: sadece trim + sayı/rare filtresi)."""
if s is None:
return None
s = s.strip()
s = s.rstrip(".,;: ")
s = s.strip()
if not s or s in ["/", ".", ",", "-", "(X)", "(x)", "X", "x", "?", ""]:
return None
if s.isdigit():
return None
if len(s) == 1 and not s.isalpha():
return None
return s
def parse_annotations(data):
results = []
for ann in data.get("annotations", []):
sign = normalize_sign(ann.get("comment", ""))
if not sign:
continue
m = ann.get("mark", {})
x, y, w, h = m.get("x", 0), m.get("y", 0), m.get("width", 0), m.get("height", 0)
if w < 0:
x += w
w = abs(w)
if h < 0:
y += h
h = abs(h)
if w > MIN_CROP_SIZE and h > MIN_CROP_SIZE:
results.append((x, y, w, h, sign))
return dedup(results)
def parse_spots(data, img_w, img_h):
results = []
for sp in data.get("spots", []):
title = sp.get("title", "")
if "_" not in title:
continue
sign = normalize_sign(title.split("_", 1)[1])
if not sign:
continue
x = sp.get("x", 0) / 100 * img_w
y = sp.get("y", 0) / 100 * img_h
w = sp.get("width", 0) / 100 * img_w
h = sp.get("height", 0) / 100 * img_h
if w > MIN_CROP_SIZE and h > MIN_CROP_SIZE:
results.append((x, y, w, h, sign))
return dedup(results)
def dedup(signs):
seen = set()
out = []
for e in signs:
k = (round(e[0], 2), round(e[1], 2), round(e[2], 2), round(e[3], 2), e[4])
if k not in seen:
seen.add(k)
out.append(e)
return out
def load_tablet_signs(tid):
"""Return (image_path, width, height, signs[]) for tablet dir <tid>."""
tdir = SOURCES / tid
if not tdir.is_dir():
return None
mark = tdir / "mark.txt"
if not mark.exists() or mark.stat().st_size == 0:
return None
img_path = None
for f in sorted(tdir.iterdir()):
if f.suffix.lower() in (".jpg", ".jpeg", ".png") and not f.is_symlink():
img_path = f
break
if f.suffix.lower() in (".jpg", ".jpeg", ".png"):
img_path = f.resolve()
break
if not img_path or not img_path.exists():
return None
try:
with Image.open(img_path) as im:
w, h = im.size
except Exception:
return None
try:
data = json.loads(mark.read_text())
except Exception:
return None
if "annotations" in data:
signs = parse_annotations(data)
elif "spots" in data:
signs = parse_spots(data, w, h)
else:
return None
return str(img_path), w, h, signs
def safe_name(s):
for a, b in [("/", "_SLASH_"), ("\\", "_BSLASH_"), (":", "_COLON_"),
("*", "_STAR_"), ("?", "_QMARK_"), ('"', "_DQUOTE_"),
("<", "_LT_"), (">", "_GT_"), ("|", "_PIPE_"), (" ", "_")]:
s = s.replace(a, b)
return s if s else "_EMPTY_"
def manifest_records_by_tablet():
"""Group missing hitit manifest entries by tablet_id. Only include those under classification/all/."""
by_tid = defaultdict(list)
with open(MANIFEST) as f:
for line in f:
r = json.loads(line)
if r.get("source") != "hitit":
continue
p = r.get("path", "")
if "/classification/all/" not in p:
continue
# Derive tid from filename (more reliable than r["tablet_id"]
# which has known mislabels, e.g. path=116.2_26.png with tablet_id="4").
stem = Path(p).stem # e.g. 116.2_26
parts = stem.rsplit("_", 1)
if len(parts) == 2 and parts[1].isdigit():
tid = parts[0]
else:
tid = r.get("tablet_id") or stem
by_tid[tid].append(r)
return by_tid
def restore_tablet(tid, records, verify_only=False):
"""For a tablet, parse bbox list, then write each record's crop.
Returns dict of stats."""
t = load_tablet_signs(tid)
if t is None:
return {"tid": tid, "status": "no_tablet", "n_records": len(records)}
img_path, w, h, signs = t
# Build filename → idx map from records
# File name pattern: <tid>_<idx>.png
stats = {"tid": tid, "n_signs": len(signs), "n_records": len(records),
"written": 0, "skipped_label_mismatch": 0, "idx_out_of_range": 0,
"already_exists": 0, "save_failed": 0}
if verify_only:
# Check idx vs manifest label/size
by_idx = {}
for r in records:
fn = Path(r["path"]).stem # e.g. 100.2_116
parts = fn.rsplit("_", 1)
if len(parts) != 2 or not parts[1].isdigit():
continue
idx = int(parts[1])
by_idx[idx] = r
matched = 0
sz_mismatch = 0
label_mismatch_examples = []
for idx, r in by_idx.items():
if idx >= len(signs):
stats["idx_out_of_range"] += 1
continue
x, y, bw, bh, sign = signs[idx]
# Expected pad
px = bw * CONTEXT_PAD_RATIO
py = bh * CONTEXT_PAD_RATIO
x1 = max(0, int(x - px)); y1 = max(0, int(y - py))
x2 = min(w, int(x + bw + px)); y2 = min(h, int(y + bh + py))
expect_w = x2 - x1; expect_h = y2 - y1
man_w = r.get("width"); man_h = r.get("height")
if man_w != expect_w or man_h != expect_h:
sz_mismatch += 1
matched += 1
stats["verify_matched"] = matched
stats["verify_size_mismatch"] = sz_mismatch
return stats
# Open image once
try:
img = Image.open(img_path).convert("RGB")
except Exception:
return {**stats, "status": "img_open_failed"}
for r in records:
fn = Path(r["path"]).stem
parts = fn.rsplit("_", 1)
if len(parts) != 2 or not parts[1].isdigit():
continue
idx = int(parts[1])
if idx >= len(signs):
stats["idx_out_of_range"] += 1
continue
x, y, bw, bh, sign = signs[idx]
px = bw * CONTEXT_PAD_RATIO
py = bh * CONTEXT_PAD_RATIO
x1 = max(0, int(x - px))
y1 = max(0, int(y - py))
x2 = min(w, int(x + bw + px))
y2 = min(h, int(y + bh + py))
if x2 - x1 < MIN_CROP_SIZE or y2 - y1 < MIN_CROP_SIZE:
continue
out = Path(r["path"])
if out.exists():
stats["already_exists"] += 1
continue
out.parent.mkdir(parents=True, exist_ok=True)
try:
img.crop((x1, y1, x2, y2)).save(str(out))
stats["written"] += 1
except Exception as e:
stats["save_failed"] += 1
img.close()
return stats
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--check", help="dry-run one tablet")
ap.add_argument("--verify", action="store_true", help="parse all tablets, compare bbox sizes vs manifest")
ap.add_argument("--limit", type=int, default=0, help="process at most N tablets")
ap.add_argument("--workers", type=int, default=8)
args = ap.parse_args()
by_tid = manifest_records_by_tablet()
tids = sorted(by_tid.keys())
print(f"[plan] {len(tids)} tablets, {sum(len(v) for v in by_tid.values())} crops to restore")
if args.check:
tid = args.check
t = load_tablet_signs(tid)
if t is None:
print(f"tablet {tid} not loadable"); return
img_path, w, h, signs = t
print(f"tablet {tid}: img={img_path} size={w}x{h} bbox_count={len(signs)}")
print("first 3 bboxes:", signs[:3])
print("records for this tablet:", len(by_tid.get(tid, [])))
if by_tid.get(tid):
print("first record:", json.dumps(by_tid[tid][0], ensure_ascii=False)[:200])
return
if args.verify:
agg = Counter()
for i, tid in enumerate(tids):
st = restore_tablet(tid, by_tid[tid], verify_only=True)
agg["tablets"] += 1
for k in ("n_records", "verify_matched", "verify_size_mismatch", "idx_out_of_range"):
agg[k] += st.get(k, 0)
if args.limit and i + 1 >= args.limit:
break
print("VERIFY:", dict(agg))
return
# Full restore
import multiprocessing as mp
work = [(tid, by_tid[tid]) for tid in tids]
if args.limit:
work = work[:args.limit]
agg = Counter()
if args.workers <= 1:
for i, (tid, recs) in enumerate(work):
st = restore_tablet(tid, recs)
for k, v in st.items():
if isinstance(v, int):
agg[k] += v
if (i + 1) % 20 == 0:
print(f" [{i+1}/{len(work)}] written={agg['written']} skipped_idx={agg['idx_out_of_range']}")
else:
with mp.Pool(args.workers) as pool:
for i, st in enumerate(pool.starmap(restore_tablet, work)):
for k, v in st.items():
if isinstance(v, int):
agg[k] += v
if (i + 1) % 20 == 0:
print(f" [{i+1}/{len(work)}] written={agg['written']} skipped_idx={agg['idx_out_of_range']}")
print("DONE:", dict(agg))
if __name__ == "__main__":
main()
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