          The kernel size for applying gaussian blur to apply to the mask. `0` for none. Default: `0`
      """
      def __init__(self, size, points, dilation=0, blur_kernel=0):
          logger.trace("Initializing: %s: (size: %s, points: %s, dilation: %s, blur_kernel: %s)",
                       size, points, dilation, blur_kernel)
          self._size = size
          self._points = points
          self._dilation = dilation
          self._blur_kernel = blur_kernel
          self._mask = None
 
</s> remove             logger.info("Updating legacy weights from '%s'...", model_name)
 </s> add  </s> remove         return KerasModel(input_, var_x, name=self.name)
 </s> add         return KerasModel(input_, var_x, name="encoder") </s> remove         if self.config["learn_mask"] and self.config["mask_type"] is None:
 </s> add 
                     self.__class__.__name__, size, points, dilation, blur_kernel)
          The kernel size for applying gaussian blur to apply to the mask. `0` for none. Default: `0`
      """
      def __init__(self, size, points, dilation=0, blur_kernel=0):
          logger.trace("Initializing: %s: (size: %s, points: %s, dilation: %s, blur_kernel: %s)",
                     self.__class__.__name__, size, points, dilation, blur_kernel)
          self._size = size
          self._points = points
          self._dilation = dilation
          self._blur_kernel = blur_kernel
          self._mask = None
keep keep keep keep replace keep keep keep keep keep
 Bugfixes:
  - dfl_h128 Legacy Weights update
  - lib.faces_detect - Logging fix 
lib/faces_detect.py