| import argparse |
| import io |
| import json |
| from pathlib import Path |
|
|
| from PIL import Image |
| import webdataset as wds |
|
|
|
|
| def decode_sample(sample: dict) -> dict: |
| frames = [ |
| Image.open(io.BytesIO(sample[f"jpg-{i:02d}"])).convert("RGB") |
| for i in range(8) |
| ] |
| metadata = json.loads(sample["json"]) |
| return { |
| "id": metadata["id"], |
| "label": metadata["label"], |
| "frames": frames, |
| "__key__": sample["__key__"], |
| } |
|
|
|
|
| def parse_args() -> argparse.Namespace: |
| parser = argparse.ArgumentParser(description="Load Camera Motion WebDataset shards.") |
| parser.add_argument("--dataset-root", type=Path, required=True, help="Folder containing the staged HF dataset files.") |
| parser.add_argument("--split", choices=["train", "val", "test"], default="train") |
| parser.add_argument("--limit", type=int, default=3, help="Number of samples to print.") |
| return parser.parse_args() |
|
|
|
|
| def main() -> None: |
| args = parse_args() |
| shards = sorted(str(path) for path in args.dataset_root.glob(f"{args.split}-*.tar")) |
| if not shards: |
| raise SystemExit(f"No shards found for split {args.split} in {args.dataset_root}") |
|
|
| dataset = wds.WebDataset(shards, shardshuffle=False).map(decode_sample) |
| for index, sample in enumerate(dataset): |
| print( |
| json.dumps( |
| { |
| "index": index, |
| "id": sample["id"], |
| "label": sample["label"], |
| "num_frames": len(sample["frames"]), |
| "frame_size": sample["frames"][0].size, |
| "webdataset_key": sample["__key__"], |
| }, |
| indent=2, |
| ) |
| ) |
| if index + 1 >= args.limit: |
| break |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|