class_docstr: Mask sampling result.
docstr: Returns a dictionary of info about the object.
docstr_tok: ["Returns","a","dictionary","of","info","about","the","object","."]
code: def info(self):
      """Returns a dictionary of info about the object."""
      return {
          "pos_inds": self.pos_inds,
          "neg_inds": self.neg_inds,
          "pos_masks": self.pos_masks,
          "neg_masks": self.neg_masks,
          "pos_is_gt": self.pos_is_gt,
          "num_gts": self.num_gts,
          "pos_assigned_gt_inds": self.pos_assigned_gt_inds,
      }
  
file_path: dinov2/dinov2/eval/segmentation_m2f/core/box/samplers/mask_sampling_result.py
imports: import torch
  from .sampling_result import SamplingResult
label_desc: Use image node_id 4 for calling the MaskSamplingResult obj's underlying member method code with example usage: obj.info() and returns: dict