class_docstr: Encapsulate the results obtained by the :py:class:`kornia.contrib.FaceDetector`.
  
  Args:
      data: the encoded results coming from the feature detector with shape :math:`(14,)`.
class_docstr_tok: ["Encapsulate","the","results","obtained","by","the",":","py",":","class",":","`","kornia.contrib.FaceDetector","`",".","Args",":","data",":","the","encoded","results","coming","from","the","feature","detector","with","shape",":","math",":","`","(","14",",",")","`","."]
docstr: The [x y] position of the top-left coordinate of the bounding box.
docstr_tok: ["The","[","x","y","]","position","of","the","top-left","coordinate","of","the","bounding","box","."]
code: def bottom_left(self) -> torch.Tensor:
      """The [x y] position of the top-left coordinate of the bounding box."""
      out = self.top_left
      out[..., 1] += self.height
      return out
  
imports: import math
  from enum import Enum
  from typing import Dict, List, Optional, Tuple
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.geometry.bbox import nms
  from kornia.utils.helpers import map_location_to_cpu
label_desc: Use image node_id 14 for calling the FaceDetectorResult obj's underlying member method code with example usage: obj.bottom_left() and returns: out