code: def run(self, target_images):
      # Run to completion.
      self.start(target_images)
      while self._cur_step < self.num_steps:
          self.step()
  
      # Collect results.
      pres = dnnlib.EasyDict()
      pres.dlatents = self.get_dlatents()
      pres.noises = self.get_noises()
      pres.images = self.get_images()
      return pres
  
file_path: insightface/reconstruction/ostec/external/stylegan2/projector.py
imports: import numpy
  import tensorflow
  import dnnlib
  import dnnlib.tflib
  from training import misc
label_desc: Use image node_id 4 for calling the Projector obj's underlying member method code with example usage: obj.run(target_images) and returns: pres