code: def predict(self, img_path: str, save_preview=False, return_str=True):
      return self.predict_image(
          img=Image.open(img_path),
          save_preview=save_preview,
          return_str=return_str,
      )
  
file_path: HugsVision/build/lib/hugsvision/inference/TorchVisionClassifierInference.py
imports: import json
  import torch
  from torchvision import transforms
  from PIL import Image
label_desc: Use image node_id 3 for calling the TorchVisionClassifierInference obj's underlying member method code with example usage: obj.predict(img_path, save_preview, return_str) and returns: self