code: def preprocess(self, data):
      images = []
      for row in data:
          image = row.get("data") or row.get("body")
          if isinstance(image, str):
              # if the image is a string of bytesarray.
              image = base64.b64decode(image)
  
          # If the image is sent as bytesarray
          if isinstance(image, (bytearray, bytes)):
              image = Image.open(io.BytesIO(image))
          else:
              # if the image is a list
              image = torch.FloatTensor(image)
  
          image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
          images.append(image)
  
      return images
  
file_path: serve/examples/large_models/segment_anything_fast/custom_handler.py
imports: import base64
  import io
  import logging
  import pickle
  import cv2
  import numpy
  import torch
  from PIL import Image
  from segment_anything_fast import SamAutomaticMaskGenerator, sam_model_fast_registry
  from ts.handler_utils.timer import timed
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 3 for calling the SegmentAnythingFastHandler obj's underlying member method code with example usage: obj.preprocess(data) and returns: images