File size: 2,014 Bytes
8e5456b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | #!/usr/bin/env python3
"""Dump ground-truth poses in the shared 50-joint format, for FGD/MAEJ scoring.
`eval_fgd_maej.py` needs a `--gt-npz` in the same format as the model dumps. It exists
for Multi-VSL (`dumps_fgd_t2m/gt.npz`) but not for the 3-view TriVis pack, and FGD is
biased by sample size, so the GT must cover exactly the clips the conditions cover --
hence `--like`, which copies the clip list from an existing dump.
KEEP_50 = upper[0:8] + upper[82:124], matching 0.NSLP-G/.../modules/data/mvsl.py.
"""
import argparse
import os
import numpy as np
from dataset import dataset_vsl
KEEP_50 = list(range(8)) + list(range(82, 124))
def main():
ap = argparse.ArgumentParser()
ap.add_argument('--data-dir', default='./dataset/VSL3_upper')
ap.add_argument('--split', default='test')
ap.add_argument('--like', default=None,
help='npz whose `names` define the clip set (keeps FGD comparable)')
ap.add_argument('--out', required=True)
args = ap.parse_args()
st = dataset_vsl.VSLStore(args.data_dir, args.split)
NK = st.layout.n_kpts
assert NK == 124, f'expects the 124-kpt upper layout, got {NK}'
want = None
if args.like:
z = np.load(args.like, allow_pickle=True)
want = [str(n) for n in z['names']]
print(f'{len(want)} clip names taken from {args.like}')
by_name = {c['name']: k for k, c in enumerate(st.index)}
names = want if want is not None else [c['name'] for c in st.index]
poses, kept = [], []
for nm in names:
if nm not in by_name:
continue
motion, _ = st.get(by_name[nm])
p = (motion * st.std + st.mean).reshape(-1, NK, 2)[:, KEEP_50]
poses.append(p.astype(np.float32))
kept.append(nm)
os.makedirs(os.path.dirname(args.out) or '.', exist_ok=True)
np.savez(args.out, poses=np.array(poses, dtype=object), names=np.array(kept))
print(f'wrote {args.out}: {len(kept)} clips, 50 joints')
if __name__ == '__main__':
main()
|