  
  import cv2
  import numpy as np
  
  
  class Convert():
      """ Adjust Converter """
      def __init__(self, encoder, smooth_mask=True, avg_color_adjust=True,
 
</s> remove                  **kwargs):
 </s> add                  draw_transparent=False, **kwargs): </s> remove         cv2.imwrite(os.path.join(self.output_dir,
 </s> add         cv2.imwrite(os.path.join(self.output_dir,  # pylint: disable=no-member </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)

from lib.utils import add_alpha_channel

  
  import cv2
  import numpy as np
  
from lib.utils import add_alpha_channel

  
  class Convert():
      """ Adjust Converter """
      def __init__(self, encoder, smooth_mask=True, avg_color_adjust=True,
keep keep keep add keep keep keep keep
 add draw transparent to adjust. Disable seamless clone with -dt flag 
plugins/convert/Convert_Adjust.py