class_docstr: ``nn.Module`` wrapper for ``pytorchvideo.transforms.functional.uniform_crop``.
class_docstr_tok: ["``","nn.Module","``","wrapper","for","``","pytorchvideo.transforms.functional.uniform_crop","``","."]
code: def __init__(
      self,
      size: int,
      video_key: str = "video",
      aug_index_key: str = "aug_index",
  ):
      super().__init__()
      self._size = size
      self._video_key = video_key
      self._aug_index_key = aug_index_key
  
imports: from typing import Callable, Dict, List, Optional, Tuple
  import pytorchvideo.transforms.functional
  import torch
  import torchvision.transforms
label_desc: Use image node_id 1 to create a new UniformCropVideo object from inherited base classes: torch.nn with example: obj = UniformCropVideo(size, video_key, aug_index_key)