code: def get_shifted_mask(self):
      # Confirm full_shape is specified
      if (self.full_shape_height is None) or (
          self.full_shape_width is None
      ):
          raise ValueError("full_shape is None")
      # init full mask
      mask_fullsized = np.full(
          (
              self.full_shape_height,
              self.full_shape_width,
          ),
          0,
          dtype="float32",
      )
  
      # arrange starting ending indexes
      starting_pixel = [self.shift_x, self.shift_y]
      ending_pixel = [
          min(
              starting_pixel[0] + self.bool_mask.shape[1],
              self.full_shape_width,
          ),
          min(
              starting_pixel[1] + self.bool_mask.shape[0],
              self.full_shape_height,
          ),
      ]
  
      # convert sliced mask to full mask
      mask_fullsized[
          starting_pixel[1] : ending_pixel[1],
          starting_pixel[0] : ending_pixel[0],
      ] = self.bool_mask[
          : ending_pixel[1] - starting_pixel[1],
          : ending_pixel[0] - starting_pixel[0],
      ]
  
      return Mask(
          mask_fullsized,
          shift_amount=[0, 0],
          full_shape=self.full_shape,
      )
  
imports: import copy
  from typing import Dict, List, Optional
  import numpy
  from sahi.utils.coco import CocoAnnotation, CocoPrediction
  from sahi.utils.cv import get_bbox_from_bool_mask, get_bool_mask_from_coco_segmentation, get_coco_segmentation_from_bool_mask
  from sahi.utils.shapely import ShapelyAnnotation
label_desc: Use image node_id 10 for calling the Mask obj's underlying member method code with example usage: obj.get_shifted_mask() and returns: Mask