File size: 2,580 Bytes
00eea01 | 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 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | import json
import re
import shutil
from datetime import datetime
from pathlib import Path
ROOT = Path("/mnt/nas/zhangyiming/database/rlbench/train")
JSON_DIR = ROOT / "json"
BACKUP_DIR = ROOT / "json_bak_pic_num"
FRONT_RE = re.compile(r"front_(\d+)\.png$")
def is_training_json(path: Path) -> bool:
if path.name.endswith("_statistics.json"):
return False
if path.name == "train_statistics.json":
return False
return path.suffix == ".json"
def get_pic_num(front_pic: str, cache: dict[Path, int]) -> int:
pic_path = Path(front_pic)
episode_dir = pic_path.parent
if episode_dir in cache:
return cache[episode_dir]
max_idx = None
for image_path in episode_dir.glob("front_*.png"):
match = FRONT_RE.match(image_path.name)
if match:
idx = int(match.group(1))
max_idx = idx if max_idx is None else max(max_idx, idx)
if max_idx is None:
raise FileNotFoundError(f"No front_*.png images found in {episode_dir}")
cache[episode_dir] = max_idx
return max_idx
def main() -> None:
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
backup_dir = BACKUP_DIR / timestamp
backup_dir.mkdir(parents=True, exist_ok=False)
image_count_cache = {}
processed = {}
for json_path in sorted(JSON_DIR.glob("*.json")):
if not is_training_json(json_path):
continue
backup_path = backup_dir / json_path.name
shutil.copy2(json_path, backup_path)
with json_path.open("r", encoding="utf-8") as f:
records = json.load(f)
for record in records:
if "front_pic" not in record:
raise KeyError(f"{json_path} has a record without front_pic")
record["pic_num"] = get_pic_num(record["front_pic"], image_count_cache)
tmp_path = json_path.with_suffix(".json.tmp")
with tmp_path.open("w", encoding="utf-8") as f:
json.dump(records, f, ensure_ascii=False, indent=2)
tmp_path.replace(json_path)
processed[json_path.name] = len(records)
summary_path = backup_dir / "pic_num_update_summary.json"
with summary_path.open("w", encoding="utf-8") as f:
json.dump(
{
"backup_dir": str(backup_dir),
"processed": processed,
},
f,
ensure_ascii=False,
indent=2,
)
print(json.dumps({"backup_dir": str(backup_dir), "processed": processed}, ensure_ascii=False, indent=2))
if __name__ == "__main__":
main()
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