code: def __init__(
      self,
      imgsize,
      min_covered=0.1,
      aspect_ratio_range=(3.0 / 4, 4.0 / 3),
      area_range=(0.1, 1.0),
      max_attempts=10,
  ):
      assert 0.0 < min_covered
      assert 0 < aspect_ratio_range[0] <= aspect_ratio_range[1]
      assert 0 < area_range[0] <= area_range[1]
      assert 1 <= max_attempts
  
      self.min_covered = min_covered
      self.aspect_ratio_range = aspect_ratio_range
      self.area_range = area_range
      self.max_attempts = max_attempts
      self._fallback = EfficientNetCenterCrop(imgsize)
  
imports: import math
  import random
label_desc: Use image node_id 1 to create a new EfficientNetRandomCrop object  with example: obj = EfficientNetRandomCrop(imgsize, min_covered, aspect_ratio_range, area_range, max_attempts)