class_docstr: This is the image classification class in the ImageAI library. It provides support for 4 different models which are:
  ResNet, MobileNetV2, DenseNet and Inception V3. After instantiating this class, you can set it's properties and
  make image classification using it's pre-defined functions.
  
  The following functions are required to be called before a classification can be made
  * setModelPath()
  * At least of of the following and it must correspond to the model set in the setModelPath()
  [setModelTypeAsMobileNetv2(), setModelTypeAsResNet(), setModelTypeAsDenseNet, setModelTypeAsInceptionV3]
  * loadModel() [This must be called once only before making a classification]
  
  Once the above functions have been called, you can call the classifyImage() function of the classification instance
  object at anytime to classify an image.
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docstr:  'setModelTypeAsInceptionV3()' is used to set the model type to the InceptionV3 model
          for the classification instance object .
  :return:
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code: def setModelTypeAsInceptionV3(self):
      """
       'setModelTypeAsInceptionV3()' is used to set the model type to the InceptionV3 model
              for the classification instance object .
      :return:
      """
      self.__modelType = "inceptionv3"
  
file_path: ImageAI/imageai_tf_deprecated/Classification/__init__.py
imports: import tensorflow
  from PIL import Image
  import numpy
  from matplotlib.cbook import deprecated
label_desc: Use image node_id 9 for calling the ImageClassification obj's underlying member method code with example usage: obj.setModelTypeAsInceptionV3() without return types