          save_queue = queue_manager.get_queue("save")
  
          filename = faces["filename"]
          output_file = faces["output_file"]
          resized_faces = faces["resized_faces"]
  
          for idx, face in enumerate(faces["detected_faces"]):
              if self.export_face:
                  save_queue.put((filename,
                                  output_file,
 
</s> remove                                 resized_faces[idx],
 </s> add                                 face.aligned_face, </s> remove         resized_faces = list()
        t_mats = list()

 </s> add  </s> remove             resized_face, t_mat = self.extract.extract(image,
                                                       face,
                                                       self.size,
                                                       self.align_eyes)
            resized_faces.append(resized_face)
            t_mats.append(t_mat)

        output["resized_faces"] = resized_faces
        output["t_mats"] = t_mats
 </s> add             face.load_aligned(image,
                              size=self.size,
                              padding=self.padding,
                              align_eyes=self.align_eyes) </s> remove                 cv2.imwrite(filename, image)
 </s> add                 cv2.imwrite(filename, image)  # pylint: disable=no-member </s> remove         for idx, face in enumerate(output_item["detected_faces"]):
            resized_face = output_item["resized_faces"][idx]
            dims = resized_face.shape[:2]
            size = dims[0]
            t_mat = output_item["t_mats"][idx]

            aligned_landmarks = extractor.transform_points(
                face.landmarksXY,
                t_mat, size, 48)
 </s> add         for face in output_item["detected_faces"]:
            aligned_landmarks = face.aligned_landmarks
            resized_face = face.aligned_face
            size = face.aligned["size"]
          save_queue = queue_manager.get_queue("save")
  
          filename = faces["filename"]
          output_file = faces["output_file"]

  
          for idx, face in enumerate(faces["detected_faces"]):
              if self.export_face:
                  save_queue.put((filename,
                                  output_file,
keep keep keep keep replace keep keep keep keep keep
 Fix convert-adjust (#531)

* Add dimensions to alignments + refactor

* Add frame_dims + funcs to DetectFaces. Add alignments lib

* Convert Adjust working

* Refactor and tidy up 
scripts/extract.py