class_docstr: 🤗 Constructor for the object detection trainer
code: def predict(self, img_path: str, threshold=0.2, visualize=False):
      return self.predict_img(
          img=Image.open(img_path),
          threshold=threshold,
          visualize=visualize,
      )
  
file_path: HugsVision/hugsvision/inference/ObjectDetectionInference.py
imports: import os
  from datetime import datetime
  import torch
  from transformers import DetrFeatureExtractor, DetrForObjectDetection, pipeline
  from PIL import Image
  import matplotlib
  import matplotlib.pyplot
label_desc: Use image node_id 7 for calling the ObjectDetectionInference obj's underlying member method code with example usage: obj.predict(img_path, threshold, visualize) and returns: self