| |
| """A PyTorch Dataset for VQS-4K. |
| |
| from vqs4k import VQS4K |
| |
| ds = VQS4K("VQS-4K", split="test") # a folder made by download.py |
| s = ds[0] |
| s["query_image"], s["query_mask"] # PIL: the external visual query |
| s["frames"], s["masks"] # lists over the search video |
| s["present"] # bool per frame: is the target visible? |
| |
| `masks[i]` is None exactly where `present[i]` is False. That is ground truth, not missing |
| data: the correct prediction on those frames is an empty mask. |
| |
| Needs: pip install torch pillow |
| """ |
| from pathlib import Path |
|
|
| from PIL import Image |
| from torch.utils.data import Dataset |
|
|
|
|
| class VQS4K(Dataset): |
| def __init__(self, root, split="all", protocol="tiou", transform=None): |
| self.root = Path(root) |
| self.transform = transform |
|
|
| if split == "all": |
| self.seqs = sorted(p.name for p in (self.root / "images").iterdir() if p.is_dir()) |
| else: |
| suffix = "" if protocol == "tiou" else "_by_class" |
| listing = self.root / "splits" / f"{split}_t-IoU{suffix}.txt" |
| names = [l.strip() for l in listing.read_text().splitlines() if l.strip()] |
| |
| self.seqs = [s for s in names if (self.root / "images" / s).is_dir()] |
|
|
| if not self.seqs: |
| raise RuntimeError(f"no sequences found under {self.root}") |
|
|
| def __len__(self): |
| return len(self.seqs) |
|
|
| def __getitem__(self, i): |
| seq = self.seqs[i] |
| img_dir = self.root / "images" / seq |
| msk_dir = self.root / "masks" / seq |
|
|
| |
| indices = sorted(int(p.stem) for p in img_dir.glob("*.jpg")) |
| search = [n for n in indices if n != 0] |
|
|
| frames, masks, present = [], [], [] |
| for n in search: |
| frames.append(Image.open(img_dir / f"{n:05d}.jpg").convert("RGB")) |
| mp = msk_dir / f"{n:05d}.png" |
| hit = mp.exists() |
| present.append(hit) |
| masks.append(Image.open(mp).convert("L") if hit else None) |
|
|
| sample = { |
| "seq_id": seq, |
| "category_id": seq.rsplit("-set_", 1)[0], |
| "query_image": Image.open(img_dir / "00000.jpg").convert("RGB"), |
| "query_mask": Image.open(msk_dir / "00000.png").convert("L"), |
| "frames": frames, |
| "masks": masks, |
| "present": present, |
| "frame_indices": search, |
| } |
| return self.transform(sample) if self.transform else sample |
|
|
|
|
| if __name__ == "__main__": |
| import sys |
|
|
| ds = VQS4K(sys.argv[1] if len(sys.argv) > 1 else "VQS-4K") |
| s = ds[0] |
| print(f"{len(ds)} sequences; first = {s['seq_id']}") |
| print(f" query {s['query_image'].size}, {len(s['frames'])} frames, " |
| f"{sum(s['present'])} with the target visible") |
|
|
