                                      pad_t,
                                      pad_b,
                                      pad_l,
                                      pad_r,
                                      cv2.BORDER_CONSTANT,  # pylint: disable=no-member
                                      value=(0, 0, 0))
          logger.trace("Padded shape: %s", retval.shape)
          return retval
  
      def predict(self, batch):
 
</s> remove                                        cv2.BORDER_CONSTANT)  # pylint:disable=no-member
 </s> add                                        cv2.BORDER_CONSTANT) </s> remove         retval = cv2.copyMakeBorder(image.copy(),  # pylint: disable=no-member
 </s> add         retval = cv2.copyMakeBorder(image.copy(), </s> remove             image = cv2.copyMakeBorder(image,  # pylint:disable=no-member
 </s> add             image = cv2.copyMakeBorder(image, </s> remove         retval = getattr(cv2.dnn, "DNN_TARGET_{}".format(backend))  # pylint: disable=no-member
 </s> add         retval = getattr(cv2.dnn, "DNN_TARGET_{}".format(backend)) </s> remove                         lineType=cv2.LINE_AA)  # pylint: disable=no-member
 </s> add                         lineType=cv2.LINE_AA)
                                    cv2.BORDER_CONSTANT,
                                      pad_t,
                                      pad_b,
                                      pad_l,
                                      pad_r,
                                    cv2.BORDER_CONSTANT,
                                      value=(0, 0, 0))
          logger.trace("Padded shape: %s", retval.shape)
          return retval
  
      def predict(self, batch):
keep keep keep keep replace keep keep keep keep keep
 # pylint:disable=no-member cleanup (#927)

# pylint:disable=no-member cleanup 
plugins/extract/align/cv2_dnn.py