code: def __init__(
      self,
      csv=None,
      video_dict=None,
      framerate=1,
      size=112,
      centercrop=False,
      hflip=False,
      crf=32,
      **kwargs,
  ):
      super().__init__(
          csv, video_dict, framerate, size, centercrop, hflip
      )
      self.crf = crf
  
imports: import torch
  import pandas
  import os
  import numpy
  import ffmpeg
  import random
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new VideoCompressor object from inherited base classes: VideoLoader with example: obj = VideoCompressor(csv, video_dict, framerate, size, centercrop, hflip, crf)