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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()
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