class_docstr: A generic video processor: load a numpy video tokens by default.
class_docstr_tok: ["A","generic","video","processor",":","load","a","numpy","video","tokens","by","default","."]
code: def __call__(self, video_fn):
      if isinstance(video_fn, tuple):
          video_fn = video_fn[0]
      assert isinstance(video_fn, str)
      video_fn = os.path.join(self.vfeat_dir, video_fn + ".npy")
      feat = np.load(video_fn)
      return feat
  
imports: import numpy
  import os
  import torch
label_desc: Use image node_id 2 for calling the VideoProcessor obj's underlying member method code with example usage: obj.__call__(video_fn) and returns: feat