code: def detect(self, imgpath):
      time0 = time.time()
      if isinstance(imgpath, type(np.zeros(1))):
          self.imgpath = "time-" + str(time0)
          self.img = imgpath
          self.h_img, self.w_img, _ = self.img.shape
  
      else:
          if self.disp_console:
              print("Detect from " + imgpath)
          self.imgpath = imgpath
          self.img = cv2.imread(self.imgpath)
          self.h_img, self.w_img, _ = self.img.shape
  
      # consider cv2 imread failure
      if self.img is not None:
          img_resized = cv2.resize(self.img, (448, 448))
          img_RGB = cv2.cvtColor(img_resized, cv2.COLOR_BGR2RGB)
          img_resized_np = np.asarray(img_RGB)
  
          inputs = np.zeros((1, 448, 448, 3), dtype="float32")
          inputs[0] = (img_resized_np / 255.0) * 2.0 - 1.0
          in_dict = {self.x: inputs}
  
          net_output = self.sess.run(self.fc_19, feed_dict=in_dict)
  
          self.result = self.interpret_output(net_output[0])
  
          resulted_frame = self.show_results(self.result)
  
          strtime = str(time.time() - time0)
          if self.disp_console:
              print("Elapsed time : " + strtime + " secs" + "\n")
  
      return resulted_frame
  
file_path: AdvBox/applications/StealthTshirt/StealthTshirtDemo.py
imports: import numpy
  import tensorflow
  import cv2
  import time
  import sys
  import os
  import pdb
label_desc: Use image node_id 10 for calling the Faster_YOLO obj's underlying member method code with example usage: obj.detect(imgpath) and returns: resulted_frame