""" T3: Inject canonical_names into all skeleton.npz files. Adds a 'canonical_names' field parallel to 'joint_names' in every skeleton.npz across all datasets. """ import sys import os from pathlib import Path import numpy as np project_root = Path(__file__).parent.parent sys.path.insert(0, str(project_root)) from src.data.canonical_names import get_canonical_names, CANONICAL_MAPS from src.data.zoo_canonical_names import get_zoo_canonical_names def inject_skeleton(npz_path: Path, dataset_id: str, is_zoo: bool = False): """Add canonical_names to a skeleton.npz file.""" data = dict(np.load(npz_path, allow_pickle=True)) raw_names = [str(n) for n in data['joint_names']] if is_zoo: canonical = get_zoo_canonical_names(raw_names) else: canonical = get_canonical_names(raw_names, dataset_id) data['canonical_names'] = np.array(canonical) np.savez(npz_path, **data) return canonical def main(): base = project_root / 'data' / 'processed' # Human datasets human_datasets = ['humanml3d', 'lafan1', '100style', 'bandai_namco', 'cmu_mocap', 'mixamo'] for ds in human_datasets: skel_path = base / ds / 'skeleton.npz' if not skel_path.exists(): print(f' SKIP {ds}: skeleton.npz not found') continue canon = inject_skeleton(skel_path, ds, is_zoo=False) print(f' {ds:15s}: {len(canon)} joints → canonical injected') # Zoo: main skeleton.npz + per-species skeletons zoo_dir = base / 'truebones_zoo' if zoo_dir.exists(): # Main representative skeleton main_skel = zoo_dir / 'skeleton.npz' if main_skel.exists(): canon = inject_skeleton(main_skel, 'truebones_zoo', is_zoo=True) print(f' {"zoo/main":15s}: {len(canon)} joints → canonical injected') # Per-species skeletons skel_dir = zoo_dir / 'skeletons' if skel_dir.exists(): count = 0 for f in sorted(skel_dir.glob('*.npz')): inject_skeleton(f, 'truebones_zoo', is_zoo=True) count += 1 print(f' {"zoo/species":15s}: {count} species → canonical injected') print('\nDone!') if __name__ == '__main__': main()