          self.landmarksXY = alignment["landmarksXY"]
          if image.any():
              self.image_to_face(image)
  
      # <<< Aligned Face methods and properties >>> #
      def load_aligned(self, image, size=256, padding=48, align_eyes=False):
          """ No need to load aligned information for all uses of this
              class, so only call this to load the information for easy
 
</s> remove 
        self.process_align.in_process(self.aligner.align, **kwargs)
 </s> add         self.process_align.start() </s> remove         print("\n[SPATIO-TEMPORAL FILTERING]")  # Tidy up cli output
        print("NB: The process only processes the alignments for the first "
              "face it finds for any given frame\n"
              "    For best results only run this when:\n"
              "      - there is only a single face in the alignments file\n"
              "      - all false positives have been removed\n")
 </s> add         logger.info("[SPATIO-TEMPORAL FILTERING]")  # Tidy up cli output
        logger.info("NB: The process only processes the alignments for the first "
                    "face it finds for any given frame. For best results only run this when "
                    "there is only a single face in the alignments file and all false positives "
                    "have been removed")
        logger.trace("Created from alignment: (x: %s, w: %s, y: %s. h: %s, "
                     "frame_dims: %s, landmarks: %s)",
                     self.x, self.w, self.y, self.h, self.frame_dims, self.landmarksXY)
          self.landmarksXY = alignment["landmarksXY"]
          if image.any():
              self.image_to_face(image)
        logger.trace("Created from alignment: (x: %s, w: %s, y: %s. h: %s, "
                     "frame_dims: %s, landmarks: %s)",
                     self.x, self.w, self.y, self.h, self.frame_dims, self.landmarksXY)
  
      # <<< Aligned Face methods and properties >>> #
      def load_aligned(self, image, size=256, padding=48, align_eyes=False):
          """ No need to load aligned information for all uses of this
              class, so only call this to load the information for easy
keep keep add keep keep keep keep keep
 Logging (#541)

* Convert prints to logger. Further logging improvements. Tidy  up

* Fix system verbosity. Allow SystemExit

* Fix reload extract bug

* Child Traceback handling

* Safer shutdown procedure

* Add shutdown event to queue manager

* landmarks_as_xy > property. GUI notes + linting. Aligner bugfix

* fix FaceFilter. Enable nFilter when no Filter is supplied

* Fix blurry face filter

* Continue on IO error. Better error handling

* Explicitly print stack trace tocrash log

* Windows Multiprocessing bugfix

* Add git info and conda version to crash log

* Windows/Anaconda mp bugfix

* Logging fixes for training 
lib/faces_detect.py