code: def get_default_params(architecture):
      """get_default_params"""
      if architecture == "FasterRCNN":
          anchor_range = np.array([64.0, 512.0])  # for frcnn-fpn
          # anchor_range = np.array([16., 373.])  # for yolov3
          # anchor_range = np.array([32., 373.])  # for yolov3
          default_crop_size = 1536  # mod 32 for frcnn-fpn
          default_max_bbox_size = 352
      elif architecture == "YOLOv3":
          anchor_range = np.array([32.0, 373.0])  # for yolov3
          default_crop_size = 800  # mod 32 for yolov3
          default_max_bbox_size = 352
      else:
          raise NotImplementedError
  
      return anchor_range, default_crop_size, default_max_bbox_size
  
file_path: PaddleDetection/tools/sniper_params_stats.py
imports: import sys
  import json
  import logging
  import numpy
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_params(architecture) and returns: anchor_range,  default_crop_size,  default_max_bbox_size