code: import random
  import numpy as np
  from easydict import EasyDict as edict
  
  def get_default_augment_config():
      config = edict()
      config.do_aug = True
  
      config.scale_factor = 0.25
      config.rot_factor = 15
      config.center_factor = 0.10 # 15% relative to the patch size
      config.color_factor = 0.2
      config.do_flip_aug = True
  
      config.rot_aug_rate = 0.6  #possibility to rot aug
      config.flip_aug_rate = 0.5 #possibility to flip aug
  
      config.use_color_normalize = True
      config.mean = np.array([0.485 * 255, 0.456 * 255, 0.406 * 255])
      config.std = np.array([0.229 * 255, 0.224 * 255, 0.225 * 255])
  
      config.multiplier = [0.5, 1., 1.5, 2, 2.5]
      return config
  
  
  def do_augmentation(aug_config):
      scale = np.clip(np.random.randn(), -0.5, 1.0) * aug_config.scale_factor + 1.0
      rot = np.clip(np.random.randn(), -1.0, 1.0) * aug_config.rot_factor \
          if random.random() <= aug_config.rot_aug_rate else 0
      center = np.abs(np.clip(np.random.randn(2), -1.0, 1.0)) * aug_config.center_factor
  
      do_flip = aug_config.do_flip_aug and random.random() <= aug_config.flip_aug_rate
      c_up = 1.0 + aug_config.color_factor
      c_low = 1.0 - aug_config.color_factor
      color_scale = [random.uniform(c_low, c_up), random.uniform(c_low, c_up), random.uniform(c_low, c_up)]
  
      return scale, rot, center, do_flip, color_scale
  
  
  def get_multiplier(img_size, scale_search, patch_size):
      """Computes the sizes of image at different scales
      :param img: numpy array, the current image
      :returns : list of float. The computed scales
      """
      return [x * patch_size / float(img_size) for x in scale_search]
apis: numpy.array numpy.random.randn