code: def __init__(self):
      # self.anchors = np.array([[10,13], [16,30],[33,23],[30,61],[62,45], [59,119],[116,90],[156,198],[373,326]])
      self.class_names = [
          "person",
          "bicycle",
          "car",
          "motorbike",
          "aeroplane",
          "bus",
          "train",
          "truck",
          "boat",
          "traffic light",
          "fire hydrant",
          "stop sign",
          "parking meter",
          "bench",
          "bird",
          "cat",
          "dog",
          "horse",
          "sheep",
          "cow",
          "elephant",
          "bear",
          "zebra",
          "giraffe",
          "backpack",
          "umbrella",
          "handbag",
          "tie",
          "suitcase",
          "frisbee",
          "skis",
          "snowboard",
          "sports ball",
          "kite",
          "baseball bat",
          "baseball glove",
          "skateboard",
          "surfboard",
          "tennis racket",
          "bottle",
          "wine glass",
          "cup",
          "fork",
          "knife",
          "spoon",
          "bowl",
          "banana",
          "apple",
          "sandwich",
          "orange",
          "broccoli",
          "carrot",
          "hot dog",
          "pizza",
          "donut",
          "cake",
          "chair",
          "sofa",
          "pottedplant",
          "bed",
          "diningtable",
          "toilet",
          "tvmonitor",
          "laptop",
          "mouse",
          "remote",
          "keyboard",
          "cell phone",
          "microwave",
          "oven",
          "toaster",
          "sink",
          "refrigerator",
          "book",
          "clock",
          "vase",
          "scissors",
          "teddy bear",
          "hair drier",
          "toothbrush",
      ]
      super(TestKeras, self).__init__()
      self.model = self.MainModel.KitModel(self.args.w)
  
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 1 to create a new TestKeras object from inherited base classes: TestKit with example: obj = TestKeras()