code: def adjust_sharpness_video(
      video: torch.Tensor, sharpness_factor: float
  ) -> torch.Tensor:
      return adjust_sharpness_image(
          video, sharpness_factor=sharpness_factor
      )
  
imports: from typing import List
  import PIL.Image
  import torch
  from torch.nn.functional import conv2d
  from torchvision import tv_tensors
  from torchvision.transforms import _functional_pil
  from torchvision.transforms._functional_tensor import _max_value
  from torchvision.utils import _log_api_usage_once
  from ._misc import _num_value_bits, to_dtype_image
  from ._type_conversion import pil_to_tensor, to_pil_image
  from ._utils import _get_kernel, _register_kernel_internal
label_desc: Use image node_id 18 for calling a global function with example usage: adjust_sharpness_video(video, sharpness_factor) and returns: adjust_sharpness_image