code: def load_clip(
      video_path,
      num_frames,
      target_height,
      target_width,
      start_time=None,
      end_time=None,
      sampling="headtail",
  ):
      if sampling == "headtail":
          return head_tail_frame_sampling(
              video_path,
              num_frames,
              target_height,
              target_width,
              start_time,
              end_time,
          )
      elif sampling == "uniform":
          return uniform_frame_sampling(
              video_path,
              num_frames,
              target_height,
              target_width,
              start_time,
              end_time,
          )
      else:
          raise NotImplementedError
  
imports: import gzip
  import logging
  import os
  import random
  import tarfile
  import zipfile
  import cv2
  import decord
  import webdataset
  import numpy
  import torch
  from torch.utils.data.dataset import IterableDataset, ChainDataset
  from decord import VideoReader
  from lavis.common.registry import registry
  from lavis.datasets.datasets.base_dataset import ConcatDataset
  from tqdm import tqdm
label_desc: Use image node_id 11 for calling a global function with example usage: load_clip(video_path, num_frames, target_height, target_width, start_time, end_time, sampling) and returns: head_tail_frame_sampling, uniform_frame_sampling