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# MovingMNIST

class torchvision.datasets.MovingMNIST(root: str, split: Optional[str] = None, split_ratio: int = 10, download: bool = False, transform: Optional[Callable] = None)

  MovingMNIST Dataset.

  Parameters:

    - root (string) – Root directory of dataset where `MovingMNIST/mnist_test_seq.npy` exists.

    - split (string, optional) – The dataset split, supports `None` (default), `"train"` and `"test"`. If `split=None`, the full data is returned.

    - split_ratio (int, optional) – The split ratio of number of frames. If `split="train"`, the first split frames `data[:, :split_ratio]` is returned. If `split="test"`, the last split frames `data[:, split_ratio:]` is returned. If `split=None`, this parameter is ignored and the all frames data is returned.

    - transform (callable, optional) – A function/transform that takes in an torch Tensor and returns a transformed version. E.g, `transforms.RandomCrop`

    - download (bool, optional) – If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.

  Special-members:

  __getitem__(idx: int) → Tensor
    Parameters:

      index (int) – Index

    Returns:

      Video frames (torch Tensor[T, C, H, W]). The T is the number of frames.

    Return type:

      torch.Tensor

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