          height, width = image.shape[:2]
          face = DetectedFace(x=0, w=width, y=0, h=height)
          return {"image": image,
                  "detected_faces": [face]}
  
      @staticmethod
      def get_landmarks(filename):
 
</s> remove     def get_landmarks(self, filename):
        """ Get landmarks for current image """
 </s> add     @staticmethod
    def get_landmarks(filename):
        """ Extract the face from a frame (If not alignments file found) """ </s> remove     def launch_aligner():
 </s> add     def launch_aligner(loglevel): </s> remove         queue_manager.get_queue("in").put(self.alignment_dict(image))
 </s> add         queue_manager.get_queue("in").put(Sort.alignment_dict(image)) </s> remove         self.launch_aligner()
 </s> add         self.launch_aligner(self.args.loglevel) </s> remove         self.launch_aligner()
 </s> add         self.launch_aligner(self.args.loglevel)
        face = face.to_dlib_rect()
          height, width = image.shape[:2]
          face = DetectedFace(x=0, w=width, y=0, h=height)
        face = face.to_dlib_rect()
          return {"image": image,
                  "detected_faces": [face]}
  
      @staticmethod
      def get_landmarks(filename):
keep add keep keep keep keep keep
 Staging sort fix (#584)

* fixed several bugs that prevented sort algorithms from beeing working in staging branch.
face-cnn, face-cnn-dissim and face-yaw now working again
blur, face, hist, hist-dissim already worked before
face-dissim still has an error

* applied requested changes from torzdf 
tools/sort.py