          coverage_ratio: float, optional
              the ratio of the extracted image that was used for training. Default: `0.625`
          dtype: str, optional
              Optionally set a ``dtype`` for the final face to be formatted in. Default: ``None``
  
          Notes
          -----
          This method must be executed to get access to the following `properties`:
              - :func:`feed_face`
              - :func:`feed_interpolators`
 
</s> remove         logger.trace("Loading feed face: (size: %s, coverage_ratio: %s, dtype: %s)",
                     size, coverage_ratio, dtype)
 </s> add         logger.trace("Loading feed face: (size: %s, coverage_ratio: %s, dtype: %s, "
                     "is_aligned_face: %s)", size, coverage_ratio, dtype, is_aligned_face) </s> remove     Attributes
    ----------
    blur_kernel, int
        The size of the kernel for applying gaussian blur to the output of the mask

 </s> add  </s> remove         and vgg-obstructed. The worst ratio is selected for each combination, plus a litle extra
 </s> add         and vgg-obstructed. The worst ratio is selected for each combination, plus a little extra
        is_aligned_face: bool, optional
            Indicates that the :attr:`image` is an aligned face rather than a frame.
            Default: ``False``
          coverage_ratio: float, optional
              the ratio of the extracted image that was used for training. Default: `0.625`
          dtype: str, optional
              Optionally set a ``dtype`` for the final face to be formatted in. Default: ``None``
        is_aligned_face: bool, optional
            Indicates that the :attr:`image` is an aligned face rather than a frame.
            Default: ``False``
  
          Notes
          -----
          This method must be executed to get access to the following `properties`:
              - :func:`feed_face`
              - :func:`feed_interpolators`
keep keep keep add keep keep keep keep keep keep
 Extract - Mask updates

- Remove none mask plugin
- Make pipeline more flexible
- Add support for pre-aligned faces to masker plugin
- Migrate blur and threshold settings to mask output 
lib/faces_detect.py