          images = [self._resize_sample(side, image, target_size) for image in images]
          if target_size != full_size:
              images = [self._overlay_foreground(frame, image) for image in images]
          if self._scaling != 1.0:
              new_size = int(full_size * self._scaling)
              images = [self._resize_sample(side, image, new_size) for image in images]
          return images
  
      @classmethod
      def _frame_overlay(cls, images, target_size, color):
 
</s> remove         images = [self._resize_sample(side, image, target_size) for image in images]
        if target_size != full_size:
            images = [self._overlay_foreground(frame, image) for image in images]
 </s> add         images = [self._overlay_foreground(full.copy(), image) for image in images]
 </s> remove         full_size = full.shape[1]
        target_size = int(full_size * self._coverage_ratio)
        if target_size != full_size:
            frame = self._frame_overlay(full, target_size, (0, 0, 255))

 </s> add  </s> remove     @classmethod
    def _frame_overlay(cls, images, target_size, color):
 </s> add     def _process_full(self, side, images, prediction_size, color): </s> remove         * Sets :attr:`_display.source` to the input images and flags that the display should \
            be updated
 </s> add         * Sets :attr:`_display.source` to the input images and flags that the display should be \
        updated
            new_size = int(images[0].shape[1] * self._scaling)
          images = [self._resize_sample(side, image, target_size) for image in images]
          if target_size != full_size:
              images = [self._overlay_foreground(frame, image) for image in images]
          if self._scaling != 1.0:
            new_size = int(images[0].shape[1] * self._scaling)
              images = [self._resize_sample(side, image, new_size) for image in images]
          return images
  
      @classmethod
      def _frame_overlay(cls, images, target_size, color):
keep keep keep keep replace keep keep keep keep keep
 Extract - Increase area and move centering (#1095)

* Extract
  - Implement aligner re-feeding
  - Add extract type to pipeline.ExtractMedia
  - Add pose annotation to debug
* Convert
  - implement centering
  - remove usage of feed and reference face properties
  - Remove distributed option from convert
  - Force update of alignments file on legacy receive
* Train
  - Resize preview image to model output size
  - Force legacy centering if centering does not exist in model's state file
  - Enable training on legacy face sets

* Alignments Tool
  - Update draw to include head/pose
  - Remove DFL drop + linting
  - Remove remove-frames job
  - remove align-eyes option
  - Update legacy masks to new extract type
  - Exit if attempting to merge version 1.0 alignments files with version 2.0 alignments files
  - Re-generate thumbnails on legacy upgrade
* Mask Tool
  - Update for new extract + bugfix full frame
* Manual Tool
  - Update to new extraction method
   - Disable legacy alignments,
   - extract box bugfix
   - extract faces - size to 512 and center on head
* Preview Tool
  - Display based on model centering
* Sort Tool
  - Use alignments for sort by face

* lib.aligner
  - Add Pose Class
  - Add AlignedFace Class
  - center _MEAN_FACE on x
  - Add meta information with versioning to alignments file
  - lib.aligner.get_align_matrix to use landmarks not face
  - Refactor aligned faces in lib.faces_detect
* lib.logger
  - larger file log padding
* lib.config
  - Fix global changeable_items
* lib.face_filter
  - Use new extracted face images
* lib.image
  - bump thumbnail default size to 96px 
plugins/train/trainer/_base.py