                  continue
              if self.check_skipframe(filename):
                  if self.args.keep_unchanged:
                      logger.trace("Saving unchanged frame: %s", filename)
                      out_file = os.path.join(self.args.output_dir, os.path.basename(filename))
                      self.save_queue.put((out_file, image))
                  else:
                      logger.trace("Discarding frame: '%s'", filename)
                  continue
  
              detected_faces = self.get_detected_faces(filename, image)
 
</s> remove             if self.check_skipframe(filename):
                if self.args.keep_unchanged:
 </s> add             if self._check_skipframe(filename):
                if self._args.keep_unchanged: </s> remove             detected_faces = self.get_detected_faces(filename, image)
 </s> add             detected_faces = self._get_detected_faces(filename, image) </s> remove             detected_faces = self.detect_faces(filename, image)
 </s> add             detected_faces = self._detect_faces(filename, image) </s> remove         if not self.extractor:
            detected_faces = self.alignments_faces(os.path.basename(filename), image)
 </s> add         if not self._extractor:
            detected_faces = self._alignments_faces(os.path.basename(filename), image) </s> remove             self.pre_process.do_actions(item)
            self.load_queue.put(item)
 </s> add             self._pre_process.do_actions(item)
            self._queues["load"].put(item)
                    out_file = os.path.join(self._args.output_dir, os.path.basename(filename))
                    self._queues["save"].put((out_file, image))
                  continue
              if self.check_skipframe(filename):
                  if self.args.keep_unchanged:
                      logger.trace("Saving unchanged frame: %s", filename)
                    out_file = os.path.join(self._args.output_dir, os.path.basename(filename))
                    self._queues["save"].put((out_file, image))
                    out_file = os.path.join(self._args.output_dir, os.path.basename(filename))
                    self._queues["save"].put((out_file, image))
                  else:
                      logger.trace("Discarding frame: '%s'", filename)
                  continue
  
              detected_faces = self.get_detected_faces(filename, image)
keep keep keep keep replace replace keep keep keep keep keep
 Smart Masks to Convert (#957)

- scripts.convert - Use Smart Masks for Convert
    * Make on-the-fly conversion an explicit option

- Move BlurMask to lib.faces_detect

- tools.preview - Fix for smart masks
    * Subclass from tk.Tk
    * Options to lib.gui.control_helper
    *variable cleanup

- lib.logger - Demote more tensorflow deprecation messages

- Documentation:
    * lib.faces_detect.BlurMask
    * plugins.convert.mask
    * lib.convert
    * scripts.convert
    * scripts.fsmedia
    * tools.preview 
scripts/convert.py