          new_image = frame.copy()
  
          cv2.warpAffine(
              new_face,
              detected_face.adjusted_matrix,
              (detected_face.frame_dims[1], detected_face.frame_dims[0]),
 
</s> remove         
        mask_b, mask_g, mask_r = cv2.split(image_mask)
        face_b, face_g, face_r = cv2.split(new_face)

        alpha_mask = numpy.ones(mask_b.shape, dtype=mask_b.dtype) * 50
        alpha_face = numpy.ones(face_b.shape, dtype=face_b.dtype) * 50

        image_mask = cv2.merge((mask_b, mask_g, mask_r, alpha_mask))
        new_face = cv2.merge((face_b, face_g, face_r, alpha_face))
 </s> add         image_mask = add_alpha_channel(image_mask, 100)
        new_face = add_alpha_channel(new_face, 100)
 </s> remove 
 </s> add             print(unitMask.shape)
            print(new_image.shape)
            print(base_image.shape)
 </s> remove     rotation_matrix = cv2.getRotationMatrix2D(image_center, -1.*angle, 1.)
 </s> add     rotation_matrix = cv2.getRotationMatrix2D(  # pylint: disable=no-member
        image_center, -1.*angle, 1.) </s> remove     rotation_matrix = cv2.invertAffineTransform(rotation_matrix)
 </s> add     rotation_matrix = cv2.invertAffineTransform(  # pylint: disable=no-member
        rotation_matrix)
        if self.draw_transparent:
            new_image, new_face = self.convert_transparent(new_image,
                                                           new_face)

          new_image = frame.copy()
  
        if self.draw_transparent:
            new_image, new_face = self.convert_transparent(new_image,
                                                           new_face)

          cv2.warpAffine(
              new_face,
              detected_face.adjusted_matrix,
              (detected_face.frame_dims[1], detected_face.frame_dims[0]),
keep add keep keep keep keep
 add draw transparent to adjust. Disable seamless clone with -dt flag 
plugins/convert/Convert_Adjust.py