code: def generate(self):
      self.input_image_shape = K.placeholder(shape=(2,))
      output = self.model.output
      output.sort(key=lambda x: int(x.shape[1]))
      # print(output)
  
      boxes, scores, classes = yolo_eval(
          output,
          self.anchors,
          len(self.class_names),
          self.input_image_shape,
          score_threshold=self.score_threshold,
          iou_threshold=self.iou_threshold,
      )
      return boxes, scores, classes
  
file_path: MMdnn/mmdnn/conversion/examples/keras/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import colorsys
  from keras import backend
  from PIL import Image, ImageFont, ImageDraw
  from mmdnn.conversion.examples.keras.utils import yolo_eval
label_desc: Use image node_id 4 for calling the TestKeras obj's underlying member method code with example usage: obj.generate() and returns: boxes,  scores,  classes