Download scripts/gpu/expand_visual_physics.py from jlai300/FitGround: direct link, hf CLI and curl.
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https://huggingface.co/datasets/jlai300/FitGround/resolve/main/scripts/gpu/expand_visual_physics.py
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8.39 kB
| #!/usr/bin/env python3 | |
| """Resume-only physics expansion for visual disambiguation. Does not regenerate lattice rows.""" | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| import json | |
| import sys | |
| import time | |
| from pathlib import Path | |
| ROOT = Path("/root/workspace/projects/FitGround") | |
| if not ROOT.exists(): | |
| ROOT = Path(__file__).resolve().parents[2] | |
| sys.path.insert(0, str(ROOT / "src")) | |
| sys.path.insert(0, str(ROOT / "scripts" / "gpu")) | |
| from fitground.physics.outcomes import cloth_body_outcomes # noqa: E402 | |
| from fitground.decision.engine import physics_utility # noqa: E402 | |
| import garmentcode_worker as gcw # noqa: E402 | |
| GC = Path("/root/workspace/external/FitVTON-source-tree/GarmentCodeV2") | |
| BODY_OBJ = { | |
| "mean_all": GC / "assets/bodies/mean_all.obj", | |
| "mean_female": GC / "assets/bodies/mean_female.obj", | |
| "mean_male": GC / "assets/bodies/mean_male.obj", | |
| } | |
| SIM_PROPS = { | |
| "default": GC / "assets/Sim_props/default_sim_props.yaml", | |
| "stiff": GC / "assets/Sim_props/mid_bending.yaml", | |
| "soft": GC / "assets/Sim_props/minimal_bending.yaml", | |
| } | |
| OUT = ROOT / "artifacts" / "hero" | |
| def dump(path: Path, payload) -> None: | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| path.write_text(json.dumps(payload, indent=2, default=str), encoding="utf-8") | |
| def load_jsonl(path: Path): | |
| rows = [] | |
| for line in path.read_text(encoding="utf-8").splitlines(): | |
| if line.strip(): | |
| rows.append(json.loads(line)) | |
| return rows | |
| def spec_exists(path) -> bool: | |
| return isinstance(path, str) and Path(path).exists() | |
| def short_tag(*parts) -> str: | |
| raw = "|".join(str(p) for p in parts) | |
| return "vd" + hashlib.sha1(raw.encode()).hexdigest()[:14] | |
| def run_one(spec, tag, body_name, material, max_steps, do_render): | |
| out_dir = OUT / "sim_vd" / material / tag | |
| marker = out_dir / "physics.json" | |
| if marker.exists(): | |
| prev = json.loads(marker.read_text(encoding="utf-8")) | |
| if prev.get("simulation_status") == "SIMULATED" and prev.get("fit_outcomes"): | |
| return prev, True | |
| phys = gcw.run_physics( | |
| spec, | |
| out_dir, | |
| tag, | |
| max_steps=max_steps, | |
| do_render=do_render, | |
| body_name=body_name, | |
| sim_props_path=str(SIM_PROPS[material]), | |
| ) | |
| body_obj = BODY_OBJ.get(body_name) | |
| if phys.get("sim_mesh") and body_obj and Path(body_obj).exists() and phys.get("simulation_status") == "SIMULATED": | |
| phys["fit_outcomes"] = cloth_body_outcomes(phys["sim_mesh"], body_obj) | |
| phys["fit_outcomes"]["material"] = material | |
| phys["fit_outcomes"]["body_name"] = body_name | |
| phys["material"] = material | |
| phys["body_name"] = body_name | |
| phys["body_kind"] = "SYNTHETIC_BODY_PHYSICS" | |
| phys["tag"] = tag | |
| dump(marker, phys) | |
| return phys, False | |
| def select_states(transitions, n_states: int): | |
| """Diverse (body, garment measurements) states that have a +2 cm bust after-spec.""" | |
| by_state = {} | |
| for row in transitions: | |
| if row.get("action_family") != "bust_circumference_delta_cm": | |
| continue | |
| sid = row["state_id"] | |
| by_state.setdefault(sid, {"before": row, "plus2": None, "plus3": None}) | |
| intended = round(float(row["intended_delta_cm"]), 2) | |
| if intended == 2.0: | |
| by_state[sid]["plus2"] = row | |
| if intended == 3.0: | |
| by_state[sid]["plus3"] = row | |
| candidates = [] | |
| for sid, pack in by_state.items(): | |
| if pack["plus2"] is None: | |
| continue | |
| before = pack["before"] | |
| if not spec_exists(before.get("spec_before")): | |
| continue | |
| if not spec_exists(pack["plus2"].get("spec_after")): | |
| continue | |
| gb = before["garment_measurement_before"]["bust_circumference_cm"] | |
| candidates.append( | |
| { | |
| "state_id": sid, | |
| "body_name": before["body_name"], | |
| "garment_bust_cm": gb, | |
| "body_bust_cm": before["body_bust_cm"], | |
| "spec_now": before["spec_before"], | |
| "spec_plus2": pack["plus2"]["spec_after"], | |
| "spec_plus3": (pack["plus3"] or {}).get("spec_after") if pack["plus3"] else None, | |
| "png": before.get("png_before"), | |
| "sleeve_delta_plus2": pack["plus2"].get("sleeve_delta_cm") or 0.0, | |
| "length_delta_plus2": pack["plus2"].get("length_delta_cm") or 0.0, | |
| "waist_delta_plus2": pack["plus2"].get("waist_delta_cm") or 0.0, | |
| } | |
| ) | |
| # spread across bodies and bust bins | |
| candidates.sort(key=lambda c: (c["body_name"], c["garment_bust_cm"], c["state_id"])) | |
| picked = [] | |
| used_bins = set() | |
| for c in candidates: | |
| bin_id = (c["body_name"], round(c["garment_bust_cm"] / 2.0) * 2) | |
| if bin_id in used_bins and len(picked) < n_states: | |
| continue | |
| used_bins.add(bin_id) | |
| picked.append(c) | |
| if len(picked) >= n_states: | |
| break | |
| if len(picked) < n_states: | |
| for c in candidates: | |
| if c in picked: | |
| continue | |
| picked.append(c) | |
| if len(picked) >= n_states: | |
| break | |
| return picked | |
| def main() -> int: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--max-states", type=int, default=28) | |
| parser.add_argument("--max-sim-steps", type=int, default=220) | |
| parser.add_argument("--materials", default="default,stiff") | |
| parser.add_argument("--render-first", type=int, default=16) | |
| args = parser.parse_args() | |
| t0 = time.time() | |
| OUT.mkdir(parents=True, exist_ok=True) | |
| lattice_path = OUT / "correction_lattice_v0.2.jsonl" | |
| transitions = load_jsonl(lattice_path) | |
| states = select_states(transitions, args.max_states) | |
| materials = [m.strip() for m in args.materials.split(",") if m.strip()] | |
| plan = [] | |
| for i, st in enumerate(states): | |
| for mat in materials: | |
| plan.append((st, mat, 0.0, st["spec_now"], "now")) | |
| plan.append((st, mat, 2.0, st["spec_plus2"], "plus2")) | |
| print(f"PLAN n_states={len(states)} n_sims={len(plan)}", flush=True) | |
| rows = [] | |
| n_resume = 0 | |
| n_fail = 0 | |
| n_new = 0 | |
| for i, (st, mat, edit, spec, edit_name) in enumerate(plan): | |
| tag = short_tag(st["state_id"], mat, edit_name) | |
| do_render = (edit_name == "now") or (i < args.render_first) | |
| print(f"PHYSICS {i+1}/{len(plan)} {tag} {st['body_name']} {mat} edit={edit}", flush=True) | |
| try: | |
| phys, resumed = run_one(spec, tag, st["body_name"], mat, args.max_sim_steps, do_render) | |
| except Exception as exc: | |
| phys = { | |
| "simulation_status": "FAILED", | |
| "error": f"{type(exc).__name__}: {exc}", | |
| "tag": tag, | |
| "material": mat, | |
| "body_name": st["body_name"], | |
| } | |
| resumed = False | |
| n_fail += 1 | |
| if resumed: | |
| n_resume += 1 | |
| elif phys.get("simulation_status") == "SIMULATED": | |
| n_new += 1 | |
| elif phys.get("simulation_status") != "SIMULATED": | |
| n_fail += 1 | |
| phys["state_id"] = st["state_id"] | |
| phys["intended_delta_cm"] = edit | |
| phys["edit_name"] = edit_name | |
| phys["garment_bust_cm"] = st["garment_bust_cm"] | |
| phys["body_bust_cm"] = st["body_bust_cm"] | |
| phys["pattern_png"] = st["png"] | |
| phys["side_effect_cm"] = abs(st["sleeve_delta_plus2"]) + abs(st["length_delta_plus2"]) if edit else 0.0 | |
| fo = phys.get("fit_outcomes") | |
| phys["utility"] = physics_utility(fo, edit, side_effect_cm=phys["side_effect_cm"]) if fo else None | |
| rows.append(phys) | |
| if (i + 1) % 4 == 0: | |
| dump(OUT / "physics_vd_partial.json", {"n": len(rows), "rows": rows}) | |
| dump(OUT / "physics_vd.json", rows) | |
| summary = { | |
| "n_states": len(states), | |
| "n_plan": len(plan), | |
| "n_rows": len(rows), | |
| "n_ok": sum(1 for r in rows if r.get("simulation_status") == "SIMULATED"), | |
| "n_failed": n_fail, | |
| "n_resumed": n_resume, | |
| "n_new": n_new, | |
| "runtime_s": time.time() - t0, | |
| "body_kind": "SYNTHETIC_BODY_PHYSICS", | |
| } | |
| dump(OUT / "physics_vd_summary.json", summary) | |
| print(json.dumps(summary, indent=2), flush=True) | |
| return 0 if summary["n_ok"] > 0 else 1 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |