docstr: Preprocesses sample image
docstr_tok: ["Preprocesses","sample","image"]
code: def preprocess_image(self):
      """Preprocesses sample image"""
      path = os.path.dirname(os.path.realpath(__file__))
      filename = "dog.jpg"
      input_image = PIL.Image.open(Path(os.path.join(path, filename)))
      preprocess = transforms.Compose(
          [
              transforms.Resize(256),
              transforms.CenterCrop(224),
              transforms.ToTensor(),
              transforms.Normalize(
                  mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
              ),
          ]
      )
      input_tensor = preprocess(input_image)
      input_batch = input_tensor.unsqueeze(0)
      return input_batch
  
file_path: CrypTen/benchmarks/data.py
imports: import os
  from pathlib import Path
  import crypten
  import PIL
  import torch
  import torch.nn.functional
  from sklearn.datasets import make_classification
  from sklearn.model_selection import train_test_split
  from torchvision import transforms
label_desc: Use image node_id 2 for calling the Images obj's underlying member method code with example usage: obj.preprocess_image() and returns: input_batch