Download scripts/prepare_i2v_images.py from mosaichunk/RememBench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/mosaichunk/RememBench/resolve/main/scripts/prepare_i2v_images.py
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hf download hf://datasets/mosaichunk/RememBench/scripts/prepare_i2v_images.py
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curl -L -o prepare_i2v_images.py https://huggingface.co/datasets/mosaichunk/RememBench/resolve/main/scripts/prepare_i2v_images.py
4.44 kB
| #!/usr/bin/env python3 | |
| """Prepare the exact I2V inputs from user-authorized DL3DV source data.""" | |
| import argparse | |
| import hashlib | |
| import io | |
| import json | |
| from pathlib import Path, PurePosixPath | |
| import zipfile | |
| from PIL import Image | |
| EXTENSIONS = {'.png', '.jpg', '.jpeg'} | |
| def prepare_image(data, row): | |
| image = Image.open(io.BytesIO(data)).convert('RGB') | |
| w, h = image.size | |
| width, height = row['width'], row['height'] | |
| aspect = width / height | |
| if w / h > aspect: | |
| crop = int(round(h * aspect)) | |
| image = image.crop(((w - crop) // 2, 0, (w - crop) // 2 + crop, h)) | |
| elif w / h < aspect: | |
| crop = int(round(w / aspect)) | |
| image = image.crop((0, (h - crop) // 2, w, (h - crop) // 2 + crop)) | |
| image = image.resize((width, height), Image.Resampling.LANCZOS) | |
| actual = hashlib.sha256(image.tobytes()).hexdigest() | |
| if actual != row['rgb_sha256']: | |
| raise ValueError(f"Input image mismatch for {row['scene_id']}: expected {row['rgb_sha256']}, got {actual}. Check the upstream source and preprocessing version.") | |
| return image | |
| def archive_image(archive): | |
| with zipfile.ZipFile(archive) as z: | |
| names = sorted(n for n in z.namelist() if PurePosixPath(n).suffix.lower() in EXTENSIONS) | |
| if not names: | |
| raise ValueError(f'No image members in {archive}') | |
| return z.read(names[0]) | |
| def main(): | |
| ap = argparse.ArgumentParser(description=__doc__) | |
| ap.add_argument('--root', type=Path, default=Path(__file__).resolve().parents[1]) | |
| source = ap.add_mutually_exclusive_group(required=True) | |
| source.add_argument('--source-dir', type=Path, help='Local DL3DV archives or extracted scene directories') | |
| source.add_argument('--download', action='store_true', help='Read first frames from DL3DV with HTTP range requests using your own HF access') | |
| ap.add_argument('--limit', type=int, help='Prepare only the first N scenes') | |
| args = ap.parse_args() | |
| if args.limit is not None and args.limit < 1: | |
| ap.error('--limit must be positive') | |
| rows = [json.loads(s) for s in (args.root / 'sources/i2v_images.jsonl').read_text().splitlines()] | |
| if args.limit is not None: | |
| rows = rows[:args.limit] | |
| archives = {} | |
| if args.source_dir: | |
| if not args.source_dir.is_dir(): | |
| ap.error('--source-dir must be an existing directory') | |
| for path in args.source_dir.rglob('*.zip'): | |
| if path.stem in archives: | |
| raise ValueError(f'Ambiguous source archives for {path.stem}') | |
| archives[path.stem] = path | |
| for i, row in enumerate(rows, 1): | |
| target = args.root / row['image_path'] | |
| if target.is_file(): | |
| im = Image.open(target).convert('RGB') | |
| if im.size != (row['width'], row['height']) or hashlib.sha256(im.tobytes()).hexdigest() != row['rgb_sha256']: | |
| raise ValueError(f'Existing image does not match the benchmark: {target}') | |
| print(f'{i}/{len(rows)} verified {row["scene_id"]}', flush=True) | |
| continue | |
| if args.download: | |
| import fsspec | |
| from huggingface_hub import get_token, hf_hub_url | |
| token = get_token() | |
| if not token: | |
| raise RuntimeError('Run hf auth login with an account that has accepted the DL3DV terms.') | |
| url = hf_hub_url(repo_id=row['source_repo'], filename=row['source_archive'], | |
| revision=row['source_revision'], repo_type='dataset') | |
| with fsspec.open(url, mode='rb', block_size=65536, | |
| headers={'Authorization': 'Bearer ' + token}) as remote: | |
| data = archive_image(remote) | |
| elif row['scene_id'] in archives: | |
| data = archive_image(archives[row['scene_id']]) | |
| else: | |
| scene = args.source_dir / row['scene_id'] | |
| files = sorted((p for p in scene.rglob('*') if p.is_file() and p.suffix.lower() in EXTENSIONS), | |
| key=lambda p: p.relative_to(scene).as_posix()) | |
| if not files: | |
| raise FileNotFoundError(f"No archive or extracted images found for {row['scene_id']}") | |
| data = files[0].read_bytes() | |
| image = prepare_image(data, row) | |
| target.parent.mkdir(parents=True, exist_ok=True) | |
| image.save(target) | |
| print(f'{i}/{len(rows)} prepared {row["scene_id"]}', flush=True) | |
| if __name__ == '__main__': | |
| main() | |