class_docstr: Visualizer is a transformer to visualize the detection results
  (tensors that encodes label, score, boundingbox)
  You can call image_frame.get_image() to get the visualized results
docstr: transform ImageSet
docstr_tok: ["transform","ImageSet"]
code: def __call__(self, image_set, bigdl_type="float"):
      """
      transform ImageSet
      """
      jset = callZooFunc(
          bigdl_type, "transformImageSet", self.value, image_set
      )
      return ImageSet(jvalue=jset)
  
imports: import sys
  from bigdl.util.common import JavaValue
  from zoo.models.image.common.image_model import ImageModel
  from zoo.common.utils import callZooFunc
  from zoo.feature.image.imageset import *
  from zoo.feature.image.imagePreprocessing import *
label_desc: Use image node_id 2 for calling the Visualizer obj's underlying member method code with example usage: obj.__call__(image_set, bigdl_type) and returns: ImageSet