              if not item.detected_faces:
                  self._queues["out"].put(item)
                  continue
              for f_idx, face in enumerate(item.detected_faces):
                  face.load_feed_face(item.get_image_copy(self.colorformat),
                                      size=self.input_size,
                                      coverage_ratio=1.0,
                                      dtype="float32",
                                      is_aligned_face=self._image_is_aligned)
  
 
</s> remove             converted_image = item.get_image_copy(self.colorformat)
 </s> add             converted_image = item.get_image_copy(self.color_format) </s> remove         The normalization method is dictated by the command line argument `-nh (--normalization)`
 </s> add         The normalization method is dictated by the normalization command line argument </s> remove         if masker is not None and masker.lower() != "none":
            retval.append("mask")
 </s> add         for idx, mask in enumerate(masker):
            if mask is not None and mask.lower() != "none":
                retval.append("mask_{}".format(idx)) </s> remove     colorformat: str
 </s> add     color_format: str
                face.load_feed_face(item.get_image_copy(self.color_format),
              if not item.detected_faces:
                  self._queues["out"].put(item)
                  continue
              for f_idx, face in enumerate(item.detected_faces):
                face.load_feed_face(item.get_image_copy(self.color_format),
                                      size=self.input_size,
                                      coverage_ratio=1.0,
                                      dtype="float32",
                                      is_aligned_face=self._image_is_aligned)
  
keep keep keep keep replace keep keep keep keep keep
 Extraction - Auto generate Components and Extended Masks 
plugins/extract/mask/_base.py