sph_dataset / build_master_csvs.py
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# build_master_csvs.py
import json, csv
from pathlib import Path
ROOT = Path("/Users/ioandanielcraciun/Python-Projects/lpbf-dataset-paper/rnl/final_data_processed") # contains sim_00001, sim_00002, ...
exp_rows, frame_rows = [], []
for sim_dir in sorted(ROOT.glob("sim_*")):
exp_id = sim_dir.name
params = json.loads((sim_dir / "parameters.json").read_text())
meta = json.loads((sim_dir / "metadata.json").read_text())
prov = json.loads((sim_dir / "labeling_provenance.json").read_text())
exp_rows.append({
"experiment_id": exp_id,
"sim_id": meta["sim_id"],
"param_hash": meta["original_hash"],
"material": meta["material"],
"laser_power_W": params["laser_power"]["value"],
"scan_speed_x_mps": params["scan_speed_x"]["value"],
"laser_spot_size_m": params["laser_spot_size"]["value"],
"substrate_temperature_K": float(params["substrate_temperature"]["value"]),
"n_frames": meta["n_frames"],
"labeling_method": prov["method"],
"labeled_at": prov["labeled_at"],
})
# per-experiment frames.csv: frame_idx, timestep, label, front_filename, side_filename, top_filename
# explode into one row per (frame_idx, view)
with open(sim_dir / "frames.csv") as f:
for row in csv.DictReader(f):
for view in ("front", "side", "top"):
frame_rows.append({
"experiment_id": exp_id,
"frame_idx": int(row["frame_idx"]),
"timestep": int(row["timestep"]),
"view": view,
"label": row["label"],
"frame_path": f"{exp_id}/{row[f'{view}_filename']}",
})
with open(ROOT / "experiments.csv", "w", newline="") as f:
w = csv.DictWriter(f, fieldnames=exp_rows[0].keys()); w.writeheader(); w.writerows(exp_rows)
with open(ROOT / "frames.csv", "w", newline="") as f:
w = csv.DictWriter(f, fieldnames=frame_rows[0].keys()); w.writeheader(); w.writerows(frame_rows)
print(f"{len(exp_rows)} experiments, {len(frame_rows)} frame-view records")