FitGround / scripts /gpu /expand_visual_physics.py
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#!/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())