code: def __call__(self, img):
      width, height = 416, 416
      sized = cv2.resize(img, (width, height))
      sized = cv2.cvtColor(sized, cv2.COLOR_BGR2RGB)
  
      boxes = do_detect(self.model, sized, 0.4, 0.6, self.use_cuda)
      return boxes[0]
  
file_path: norfair/demos/yolov4/src/demo.py
imports: import argparse
  import cv2
  import numpy
  import torch
  from models import Yolov4
  from tool.torch_utils import do_detect
  from tool.utils import load_class_names, plot_boxes_cv2
  import norfair
  from norfair import Detection, Tracker, Video
label_desc: Use image node_id 2 for calling the YOLO obj's underlying member method code with example usage: obj.__call__(img) and returns: boxes