      """ The convert process. """
      def __init__(self, arguments):
          logger.debug("Initializing %s: (args: %s)", self.__class__.__name__, arguments)
          self.args = arguments
          Utils.set_verbosity(self.args.loglevel)
  
          self.patch_threads = None
          self.images = Images(self.args)
          self.validate()
          self.alignments = Alignments(self.args, False, self.images.is_video)
 
</s> remove         set_system_verbosity(self.args.loglevel)
 </s> add  </s> remove         Utils.set_verbosity(self._args.loglevel)
 </s> add  </s> remove         set_system_verbosity(arguments.loglevel)
 </s> add  </s> remove         set_system_verbosity(arguments.loglevel)
 </s> add  </s> remove         set_system_verbosity(loglevel)
 </s> add 
      """ The convert process. """
      def __init__(self, arguments):
          logger.debug("Initializing %s: (args: %s)", self.__class__.__name__, arguments)
          self.args = arguments

  
          self.patch_threads = None
          self.images = Images(self.args)
          self.validate()
          self.alignments = Alignments(self.args, False, self.images.is_video)
keep keep keep keep replace keep keep keep keep keep
 Update Dependencies (#950)

* 1st Round update for Python 3.7, TF1.15, Keras2.3
    Move Tensorflow logging verbosity prior to first tensorflow import
    Keras Optimizers and nn_block update
    lib.logger - Change tf deprecation messages from WARNING to DEBUG
    Raise Tensorflow Max version check to 1.15
    Update requirements and conda check for python 3.7+
    Update install scripts, travis and documentation to Python 3.7

* Revert Keras to 2.2.4 
scripts/convert.py