"""Prepare RGB-only HandFlow baseline for both hands with fixed camera calibration."""
import os,subprocess,json
from pathlib import Path
ROOT=Path(__file__).resolve().parents[1];OUT=ROOT/'output/depth_ablation_red_20260916';m=json.loads((ROOT/'docs/20260916_104026/intrinsics.json').read_text())
env=os.environ.copy();env.update(PYTHONPATH=str(ROOT),LD_LIBRARY_PATH='',OMP_NUM_THREADS='4',MKL_NUM_THREADS='4',OPENBLAS_NUM_THREADS='4',TORCH_HOME=str(ROOT/'.torch_cache'),HF_HOME=str(ROOT/'.hf_cache'),HF_HUB_OFFLINE='1',TRANSFORMERS_OFFLINE='1',TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD='1',PYTHONUNBUFFERED='1',HAMER_CKPT=str(ROOT/'third_party/hamer/_DATA/hamer_ckpts/checkpoints/hamer.ckpt'),DETECTOR_CKPT=str(ROOT/'weights/detector.pt'),MANO_ROOT=str(ROOT/'third_party/hamer/_DATA/data/mano'),HANDFLOW_NORMALIZATION_STATS=str(ROOT/'weights/normalization_stats.npz'))
for side in ['right','left']:
 dst=OUT/side;dst.mkdir(exist_ok=True)
 if (dst/'handflow_results.npz').exists():continue
 cmd=[str(ROOT/'.venv/bin/python'),'-u','scripts/demo.py','--input',str(OUT/'input_315.mkv'),'--fm_ckpt',str(ROOT/'weights/handflow_denoiser.pt'),'--intrinsics',','.join(str(m[k]) for k in ['fx','fy','cx','cy']),'--fix_camera','--side',side,'--output_dir',str(dst),'--save_npz',str(dst/'handflow_results.npz')]
 print('Running',side,flush=True)
 for attempt in range(2):
  if (dst/'handflow_results.npz').exists():break
  with (dst/'inference.log').open('a') as f:subprocess.run(cmd,cwd=ROOT,env=env,stdout=f,stderr=subprocess.STDOUT,check=True)
 assert (dst/'handflow_results.npz').exists(), f'Missing final results: {side}'
print('Both RGB-only baselines complete',flush=True)