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54d2b91 | 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 | """Quick dataloader sanity-check: materialize a handful of batches and print shapes.
Useful to verify audio extraction and csv paths on the real server.
Run:
python3 tools/inspect_data.py
"""
from __future__ import annotations
import os
import sys
from pathlib import Path
from omegaconf import OmegaConf
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from src.data import FairTalkingDataModule
def main():
cfg_path = Path(__file__).resolve().parent.parent / "configs" / "data" / "fairtalking.yaml"
data_cfg = OmegaConf.load(cfg_path)
data_cfg.num_workers = 0
data_cfg.batch_size = 2
dm = FairTalkingDataModule(data_cfg=data_cfg)
dm.setup("fit")
print(f"train size: {len(dm.train_ds)}")
print(f"val size: {len(dm.val_ds)}")
loader = dm.train_dataloader()
it = iter(loader)
for i in range(3):
b = next(it)
if b is None:
print(f"[{i}] empty batch (all samples failed)")
continue
print(f"[{i}] video={tuple(b['video'].shape)} audio={tuple(b['audio'].shape)} "
f"labels={b['label'].tolist()} "
f"meta_gen={[m['generator'] for m in b['meta']]}")
if __name__ == "__main__":
main()
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