Download scripts/gpu/run_physics_cases.sh from jlai300/FitGround: direct link, hf CLI and curl.
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- Download file 3.32 kB
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https://huggingface.co/datasets/jlai300/FitGround/resolve/main/scripts/gpu/run_physics_cases.sh
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hf download hf://datasets/jlai300/FitGround/scripts/gpu/run_physics_cases.sh
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curl -L -o run_physics_cases.sh https://huggingface.co/datasets/jlai300/FitGround/resolve/main/scripts/gpu/run_physics_cases.sh
3.32 kB
| source /root/workspace/projects/FitGround/scripts/gpu/flux_env.sh | |
| cd /root/workspace/external/FitVTON-source-tree/GarmentCodeV2 | |
| python - << 'PY' | |
| import json, hashlib, time, traceback | |
| from pathlib import Path | |
| from pygarment.meshgen.boxmeshgen import BoxMesh | |
| from pygarment.meshgen.simulation import run_sim | |
| import pygarment.data_config as data_config | |
| from pygarment.meshgen.sim_config import PathCofig | |
| cases = { | |
| "bust_plus_1cm": Path("/root/workspace/projects/FitGround/artifacts/bust_atomic_calibration/bust_plus_1cm/patterns/t-shirt__bust_plus_1cm_mut/t-shirt__bust_plus_1cm_mut_specification.json"), | |
| "bust_plus_3cm": Path("/root/workspace/projects/FitGround/artifacts/bust_atomic_calibration/bust_plus_3cm/patterns/t-shirt__bust_plus_3cm_mut/t-shirt__bust_plus_3cm_mut_specification.json"), | |
| "baseline": Path("/root/workspace/projects/FitGround/artifacts/bust_atomic_calibration/bust_plus_1cm/patterns/t-shirt__bust_plus_1cm_base/t-shirt__bust_plus_1cm_base_specification.json"), | |
| } | |
| out_root = Path("/root/workspace/projects/FitGround/artifacts/gpu/physics_lattice") | |
| out_root.mkdir(parents=True, exist_ok=True) | |
| results = {} | |
| for tag, spec in cases.items(): | |
| print("PHYS", tag, spec.exists(), flush=True) | |
| t0 = time.time() | |
| rec = {"tag": tag, "spec": str(spec), "status": "FAIL"} | |
| try: | |
| props = data_config.Properties("./assets/Sim_props/default_sim_props.yaml") | |
| props["sim"]["config"]["max_sim_steps"] = 300 | |
| props.set_section_stats("sim", fails={}, sim_time={}, spf={}, fin_frame={}, body_collisions={}, self_collisions={}) | |
| props.set_section_stats("render", render_time={}) | |
| garment_name, _, _ = spec.stem.rpartition("_") | |
| paths = PathCofig( | |
| in_element_path=spec.parent, | |
| out_path=str(out_root), | |
| in_name=garment_name, | |
| out_name=tag, | |
| body_name="mean_all", | |
| smpl_body=False, | |
| add_timestamp=False, | |
| system_path="./system.json", | |
| ) | |
| mesh = BoxMesh(paths.in_g_spec, props["sim"]["config"]["resolution_scale"]) | |
| mesh.load() | |
| mesh.serialize(paths, store_panels=False, uv_config=props["render"]["config"]["uv_texture"]) | |
| run_sim(mesh.name, props, paths, save_v_norms=False, store_usd=False, optimize_storage=False, verbose=False) | |
| sim = Path(paths.g_sim) | |
| renders = list(Path(paths.out_el).glob("*render*.png")) | |
| rec.update({ | |
| "status": "PASS" if sim.exists() else "FAIL", | |
| "simulation_status": "SIMULATED" if sim.exists() else "FAILED", | |
| "render_status": "RENDERED" if renders else "FAILED", | |
| "sim_mesh": str(sim) if sim.exists() else None, | |
| "renders": [str(p) for p in renders], | |
| "output_dir": str(paths.out_el), | |
| }) | |
| if sim.exists(): | |
| rec["sim_sha256"] = hashlib.sha256(sim.read_bytes()).hexdigest() | |
| except Exception as e: | |
| rec["error"] = f"{type(e).__name__}: {e}" | |
| rec["traceback"] = traceback.format_exc() | |
| rec["runtime_s"] = time.time() - t0 | |
| results[tag] = rec | |
| print("DONE", tag, rec["status"], rec["runtime_s"], flush=True) | |
| Path("/root/workspace/projects/FitGround/artifacts/gpu/physics_lattice/results.json").write_text(json.dumps(results, indent=2)) | |
| print("ALL_DONE") | |
| PY | |