                           size, align_eyes, dtype)
              padding = int(size * self._extract_ratio) // 2
              self.aligned["size"] = size
              self.aligned["padding"] = padding
              self.aligned["align_eyes"] = align_eyes
              self.aligned["matrix"] = get_align_mat(self, size, align_eyes)
              self.aligned["face"] = None
          if image is not None and self.aligned["face"] is None:
              logger.trace("Getting aligned face")
              face = AlignerExtract().transform(
                  image,
 
</s> remove             logger.trace("Loading aligned face: (size: %s, align_eyes: %s, dtype: %s)",
                         size, align_eyes, dtype)
 </s> add             logger.trace("Loading aligned face: (size: %s, dtype: %s)", size, dtype) </s> remove         self.align_eyes = align_eyes
 </s> add         self.align_eyes_bool = align_eyes </s> remove         alignment = get_align_mat(face, size, align_eyes)
 </s> add         alignment = get_align_mat(face)
 </s> remove         face = np.clip(AlignerExtract().transform(image,
                                                  self.feed["matrix"],
                                                  size,
                                                  self.feed["padding"])[:, :, :3] / 255.0,
                       0.0, 1.0)
 </s> add         face = AlignerExtract().transform(image, self.feed["matrix"], size, self.feed["padding"])
        face = np.clip(face[:, :, :3] / 255., 0., 1.) </s> remove         face = np.clip(AlignerExtract().transform(image,
                                                  self.reference["matrix"],
                                                  size,
                                                  self.reference["padding"])[:, :, :3] / 255.0,
                       0.0, 1.0)
 </s> add         face = AlignerExtract().transform(image,
                                          self.reference["matrix"],
                                          size,
                                          self.reference["padding"])
        face = np.clip(face[:, :, :3] / 255., 0., 1.)
            self.aligned["matrix"] = get_align_mat(self)
                           size, align_eyes, dtype)
              padding = int(size * self._extract_ratio) // 2
              self.aligned["size"] = size
              self.aligned["padding"] = padding
            self.aligned["matrix"] = get_align_mat(self)
            self.aligned["matrix"] = get_align_mat(self)
              self.aligned["face"] = None
          if image is not None and self.aligned["face"] is None:
              logger.trace("Getting aligned face")
              face = AlignerExtract().transform(
                  image,
keep keep keep keep replace replace keep keep keep keep keep
 Align eyes deprecation (#851)

* align eyes removal

* add align_eyes tool 
lib/faces_detect.py