File size: 1,074 Bytes
ba6cc4c | 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 | #!/usr/bin/env python3
"""Inspect a sample from a downloaded copy of RememBench."""
import argparse
import json
from pathlib import Path
import numpy as np
def main():
ap = argparse.ArgumentParser()
ap.add_argument('--root', type=Path, default=Path(__file__).resolve().parents[1])
ap.add_argument('--subset', choices=['t2v', 'i2v'], default='t2v')
ap.add_argument('--index', type=int, default=0)
args = ap.parse_args()
rows = [json.loads(line) for line in (args.root / 'data' / args.subset / 'test.jsonl').read_text().splitlines()]
row = rows[args.index]
print(json.dumps(row, indent=2))
print('Exact integer seed:', int(row['seed']))
if args.subset == 'i2v':
with np.load(args.root / row['trajectory_path'], allow_pickle=False) as trajectory:
print('Camera-to-world poses:', trajectory['poses'].shape)
print('Intrinsics [fx, fy, cx, cy]:', trajectory['intrinsics'][0])
print('Conditioning image prepared:', (args.root / row['image_path']).is_file())
if __name__ == '__main__':
main()
|