Datasets:
Languages:
English
Size:
100K<n<1M
Tags:
additive-manufacturing
laser-powder-bed-fusion
smoothed-particle-hydrodynamics
melt-pool
keyhole
physics-simulation
DOI:
License:
| # 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") |