class_docstr: Data augmentation method in `InstaBoost: Boosting Instance
  Segmentation Via Probability Map Guided Copy-Pasting
  <https://arxiv.org/abs/1908.07801>`_.
  
  Refer to https://github.com/GothicAi/Instaboost for implementation details.
code: def __call__(self, results):
      img = results["img"]
      orig_type = img.dtype
      anns = self._load_anns(results)
      if np.random.choice(
          [0, 1], p=[1 - self.aug_ratio, self.aug_ratio]
      ):
          try:
              import instaboostfast as instaboost
          except ImportError:
              raise ImportError(
                  'Please run "pip install instaboostfast" '
                  "to install instaboostfast first."
              )
          anns, img = instaboost.get_new_data(
              anns, img.astype(np.uint8), self.cfg, background=None
          )
  
      results = self._parse_anns(results, anns, img.astype(orig_type))
      return results
  
file_path: insightface/detection/scrfd/mmdet/datasets/pipelines/instaboost.py
imports: import numpy
  from ..builder import PIPELINES
label_desc: Use image node_id 4 for calling the InstaBoost obj's underlying member method code with example usage: obj.__call__(results) and returns: results