code: def get_default_detector_config() -> Detector_config:
      return {
          # Extraction Parameters
          "nms_size": 15,
          "pyramid_levels": 4,
          "up_levels": 1,
          "scale_factor_levels": math.sqrt(2),
          "s_mult": 22.0,
      }
  
imports: import math
  from typing import List, Optional, Tuple
  import torch
  import torch.nn.functional
  from typing_extensions import TypedDict
  from kornia.core import Device, Module, Tensor, concatenate, eye, tensor, where, zeros
  from kornia.core.check import KORNIA_CHECK_SHAPE
  from kornia.geometry.subpix import ConvSoftArgmax3d, NonMaximaSuppression2d
  from kornia.geometry.transform import ScalePyramid, pyrdown, resize
  from .laf import laf_from_center_scale_ori, laf_is_inside_image
  from .orientation import PassLAF
  from .responses import BlobHessian
label_desc: Use image node_id 3 for calling a global function with example usage: get_default_detector_config() and returns: dict