code: def __call__(self, video, landmarks):
      # Pre-process landmarks: interpolate frames that are not detected
      preprocessed_landmarks = self.interpolate_landmarks(landmarks)
      # Exclude corner cases: no landmark in all frames
      if not preprocessed_landmarks:
          return
      # Affine transformation and crop patch
      output = self.crop_patch(video, preprocessed_landmarks)
      if output is None:
          return None
      sequence, yx_min, transformed_landmarks = output
      assert sequence is not None, f"cannot crop a patch from."
  
      sequence = self.transform(sequence)
  
      return sequence, yx_min, transformed_landmarks
  
file_path: espnet/egs2/lrs3/avsr1/local/face_alignment.py
imports: import os
  import cv2
  import numpy
  from skimage import transform
  from transforms import *
label_desc: Use image node_id 2 for calling the VideoProcess obj's underlying member method code with example usage: obj.__call__(video, landmarks) and returns: sequence,  yx_min,  transformed_landmarks, None